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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Microbiol.</journal-id>
<journal-title>Frontiers in Microbiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Microbiol.</abbrev-journal-title>
<issn pub-type="epub">1664-302X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmicb.2016.01692</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Microbiology</subject>
<subj-group>
<subject>Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Abundance and Distribution of Enteric Bacteria and Viruses in Coastal and Estuarine Sediments&#x02014;a Review</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Hassard</surname> <given-names>Francis</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/304583/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Gwyther</surname> <given-names>Ceri L.</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Farkas</surname> <given-names>Kata</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/379737/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Andrews</surname> <given-names>Anthony</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/378084/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Jones</surname> <given-names>Vera</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Cox</surname> <given-names>Brian</given-names></name>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/369379/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Brett</surname> <given-names>Howard</given-names></name>
<xref ref-type="aff" rid="aff7"><sup>7</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Jones</surname> <given-names>Davey L.</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/39890/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>McDonald</surname> <given-names>James E.</given-names></name>
<xref ref-type="aff" rid="aff8"><sup>8</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/369785/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Malham</surname> <given-names>Shelagh K.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/378041/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>School of Ocean Sciences, Bangor University</institution> <country>Bangor, UK</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Engineering and Innovation, Open University</institution> <country>Milton Keynes, UK</country></aff>
<aff id="aff3"><sup>3</sup><institution>School of Environment, Natural Resources and Geography, Bangor University</institution> <country>Bangor, UK</country></aff>
<aff id="aff4"><sup>4</sup><institution>UK Water Industry Research Limited</institution> <country>London, UK</country></aff>
<aff id="aff5"><sup>5</sup><institution>Atkins Limited</institution> <country>Bristol, UK</country></aff>
<aff id="aff6"><sup>6</sup><institution>Atkins Limited</institution> <country>Warrington, UK</country></aff>
<aff id="aff7"><sup>7</sup><institution>Thames Water Utilities</institution> <country>Reading, UK</country></aff>
<aff id="aff8"><sup>8</sup><institution>School of Biological Sciences, Bangor University</institution> <country>Bangor, UK</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Alison Buchan, University of Tennessee, USA</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: H&#x000E9;l&#x000E8;ne Montani&#x000E9;, University of La Rochelle, France; Daniel Elias Castillo Bermudez, University of Copenhagen, Denmark</p></fn>
<fn fn-type="corresp" id="fn001"><p>&#x0002A;Correspondence: Shelagh K. Malham <email>s.malham&#x00040;bangor.ac.uk</email></p></fn>
<fn fn-type="other" id="fn002"><p>This article was submitted to Aquatic Microbiology, a section of the journal Frontiers in Microbiology</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>01</day>
<month>11</month>
<year>2016</year>
</pub-date>
<pub-date pub-type="collection">
<year>2016</year>
</pub-date>
<volume>7</volume>
<elocation-id>1692</elocation-id>
<history>
<date date-type="received">
<day>12</day>
<month>08</month>
<year>2016</year>
</date>
<date date-type="accepted">
<day>10</day>
<month>10</month>
<year>2016</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2016 Hassard, Gwyther, Farkas, Andrews, Jones, Cox, Brett, Jones, McDonald and Malham.</copyright-statement>
<copyright-year>2016</copyright-year>
<copyright-holder>Hassard, Gwyther, Farkas, Andrews, Jones, Cox, Brett, Jones, McDonald and Malham</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract><p>The long term survival of fecal indicator organisms (FIOs) and human pathogenic microorganisms in sediments is important from a water quality, human health and ecological perspective. Typically, both bacteria and viruses strongly associate with particulate matter present in freshwater, estuarine and marine environments. This association tends to be stronger in finer textured sediments and is strongly influenced by the type and quantity of clay minerals and organic matter present. Binding to particle surfaces promotes the persistence of bacteria in the environment by offering physical and chemical protection from biotic and abiotic stresses. How bacterial and viral viability and pathogenicity is influenced by surface attachment requires further study. Typically, long-term association with surfaces including sediments induces bacteria to enter a viable-but-non-culturable (VBNC) state. Inherent methodological challenges of quantifying VBNC bacteria may lead to the frequent under-reporting of their abundance in sediments. The implications of this in a quantitative risk assessment context remain unclear. Similarly, sediments can harbor significant amounts of enteric viruses, however, the factors regulating their persistence remains poorly understood. Quantification of viruses in sediment remains problematic due to our poor ability to recover intact viral particles from sediment surfaces (typically &#x0003C;10%), our inability to distinguish between infective and damaged (non-infective) viral particles, aggregation of viral particles, and inhibition during qPCR. This suggests that the true viral titre in sediments may be being vastly underestimated. In turn, this is limiting our ability to understand the fate and transport of viruses in sediments. Model systems (e.g., human cell culture) are also lacking for some key viruses, preventing our ability to evaluate the infectivity of viruses recovered from sediments (e.g., norovirus). The release of particle-bound bacteria and viruses into the water column during sediment resuspension also represents a risk to water quality. In conclusion, our poor process level understanding of viral/bacterial-sediment interactions combined with methodological challenges is limiting the accurate source apportionment and quantitative microbial risk assessment for pathogenic organisms associated with sediments in aquatic environments.</p></abstract>
<kwd-group>
<kwd>sediment</kwd>
<kwd>viable but non-culturable bacteria</kwd>
<kwd>biofilm</kwd>
<kwd>fecal indicator organisms</kwd>
<kwd>resuspension</kwd>
<kwd>survival</kwd>
<kwd>virus</kwd>
</kwd-group>
<contract-num rid="cn001">NE/J011908/1</contract-num>
<contract-sponsor id="cn001">Natural Environment Research Council<named-content content-type="fundref-id">10.13039/501100000270</named-content></contract-sponsor>
<counts>
<fig-count count="1"/>
<table-count count="7"/>
<equation-count count="0"/>
<ref-count count="271"/>
<page-count count="31"/>
<word-count count="22545"/>
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</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>There are a multitude of bacteria and viruses naturally present within the aquatic environment of which the vast majority are not derived from humans (Rosenwasser et al., <xref ref-type="bibr" rid="B206">2016</xref>). In addition, the majority of bacteria and viruses derived from humans are benign from a human health perspective, however, a small component is considered pathogenic (Filippini and Middelboe, <xref ref-type="bibr" rid="B71">2007</xref>; Lowther et al., <xref ref-type="bibr" rid="B145">2012</xref>). Human pathogenic bacteria and viruses released from point (e.g., wastewater treatment plants) and diffuse sources (e.g., agricultural land) frequently contaminate water bodies downstream and therefore represent a potential risk to human health (e.g., during recreation, contamination of food and drinking water). A large proportion of the pathogenic organisms present in water may also become associated with the sediment, which can be subject to resuspension (Davies et al., <xref ref-type="bibr" rid="B56">1995</xref>; Anderson et al., <xref ref-type="bibr" rid="B7">2005</xref>; Drummond et al., <xref ref-type="bibr" rid="B63">2014a</xref>) and could represent a significant mechanism for delivering pathogens to coastal waters (Yamahara et al., <xref ref-type="bibr" rid="B267">2007</xref>). In coastal and estuarine environments, the survival of fecal indicator organisms (FIOs; indicating the potential presence of pathogenic bacteria and viruses) is positively linked to the concentration of suspended matter in the water column (Howell et al., <xref ref-type="bibr" rid="B110">1996</xref>). In contrast, other factors such as elevated temperatures and exposure to UV radiation tend to have a negative effect on microbial survival in the water column (Chigbu et al., <xref ref-type="bibr" rid="B44">2005</xref>; Kay et al., <xref ref-type="bibr" rid="B122">2005</xref>). Viruses have also been shown to readily adsorb to solid matter in the water (reviewed in Jin and Flury, <xref ref-type="bibr" rid="B118">2002</xref>). Viral particles associated with solids may travel long distances in water, or settle out during transit, where they become more concentrated in the sediments that in the overlying water column. Viral attachment to solid particles may result in permanent inactivation of the virus, however the adsorbed virus particles are often protected from inactivation from stressors (e.g., UV) by the surface they are attached to Schijven and Hassanizadeh (<xref ref-type="bibr" rid="B212">2000</xref>) and Chrysikopoulos and Aravantinou (<xref ref-type="bibr" rid="B45">2012</xref>). Current monitoring schemes, and the majority of research in this field, typically focuses on quantifying fecally derived bacteria and viruses in the water column, however, numbers within the sediment (including beaches, riverbanks and mudflats) are often orders of magnitude higher (Rao et al., <xref ref-type="bibr" rid="B196">1986a</xref>; Duhamel and Jacquet, <xref ref-type="bibr" rid="B64">2006</xref>; Vignaroli et al., <xref ref-type="bibr" rid="B249">2013</xref>, <xref ref-type="bibr" rid="B248">2015</xref>; Perkins et al., <xref ref-type="bibr" rid="B183">2014</xref>). Greater abundance of pathogenic organisms and viruses in the sediment reservoir is linked to their binding to particle surfaces and enhanced survival within the biofilm matrix (Smith et al., <xref ref-type="bibr" rid="B226">1978</xref>; LaBelle and Gerba, <xref ref-type="bibr" rid="B133">1980</xref>; Danovaro et al., <xref ref-type="bibr" rid="B54">2008</xref>; Pachepsky and Shelton, <xref ref-type="bibr" rid="B174">2011</xref>). Sediments therefore act as a potential reservoir of pathogens and FIOs in aquatic environments that remain undetected until they re-enter the water column due to the action of rainfall, wind, waves, tides recreational boats, and dredging (Howell et al., <xref ref-type="bibr" rid="B110">1996</xref>; Jamieson R. C. et al., <xref ref-type="bibr" rid="B115">2005</xref>) or are accumulated by filter-feeding shellfish destined for human consumption (Lowther et al., <xref ref-type="bibr" rid="B145">2012</xref>; Malham et al., <xref ref-type="bibr" rid="B149">2014</xref>). The survival of human pathogenic bacteria and viruses in rivers and the marine environment is highly species and strain specific (Gerba et al., <xref ref-type="bibr" rid="B80">1980</xref>; Anderson et al., <xref ref-type="bibr" rid="B7">2005</xref>; Byappanahalli et al., <xref ref-type="bibr" rid="B31">2006</xref>). This makes it difficult to generalize about the behavior of pathogenic organisms in a risk assessment context, particularly when they may come from sources which vary both spatially and temporally. Further, these pathogens may have a markedly different viability in aquatic ecosystems compared to non-pathogenic indicator organisms that are frequently used to represent fecal pollution in environmental monitoring (Sinton et al., <xref ref-type="bibr" rid="B222">2002</xref>). Due to the emergence of new pathogens and the need to reduce the economic and social burden of human disease outbreaks, the source-apportionment and transmission of many disease-causing agents is receiving increased attention (Dobrindt et al., <xref ref-type="bibr" rid="B60">2004</xref>; Vignaroli et al., <xref ref-type="bibr" rid="B249">2013</xref>). Within this, there is a clear need to improve our understanding of the behavior, fate and potential mitigation of pathogens associated with sediments as well as the main water body itself. Adequate consideration of pathogens in sediments will enhance our ability to achieve regulatory compliance with legislation associated with protecting bathing and shellfish waters and in the provision of more robust risk assessments (Danovaro et al., <xref ref-type="bibr" rid="B54">2008</xref>; Pachepsky and Shelton, <xref ref-type="bibr" rid="B174">2011</xref>; Malham et al., <xref ref-type="bibr" rid="B149">2014</xref>). Despite significant investment and research into the factors governing bacterial and viral association with sediments, areas such as the factors governing bacterial resuscitation from a viable but non-culturable (VBNC) state, viral quantification in sediments, and resuspension requires additional attention.</p>
</sec>
<sec id="s2">
<title>Abundance and distribution of fecally derived bacteria and viruses</title>
<p>To effectively determine the human health risk associated with coastal and estuarine sediments, it is important to quantify the size of the pathogen pool. The abundance of FIOs such as <italic>Escherichia coli</italic> and <italic>Enterococcus</italic> spp. has been well studied, however, further attention is required for pathogens such as <italic>Campylobacter</italic> spp., <italic>Salmonella</italic> spp., <italic>E. coli</italic> O157:H7 and norovirus, which may cause illness through shellfish consumption or exposure to recreational water (Malham et al., <xref ref-type="bibr" rid="B149">2014</xref>). Previous research has primarily focused on the presence/absence of these microorganisms in sediments, but for an apportionment of risk, a quantitative approach is required (Ramaiah et al., <xref ref-type="bibr" rid="B193">2005</xref>; Setti et al., <xref ref-type="bibr" rid="B216">2009</xref>; Carr et al., <xref ref-type="bibr" rid="B37">2010</xref>; Soares de Lima Grisi and Gorlach-Lira, <xref ref-type="bibr" rid="B227">2010</xref>). The reported number of fecally associated bacteria in coastal and estuarine environment is typically between 0 and 10<sup>4</sup> colony forming units (CFU) or most probable number (MPN)/100 ml for water and 10<sup>1</sup> to 10<sup>6</sup> CFU or MPN/100 g wet weight for sediment (Table <xref ref-type="table" rid="T1">1</xref>). Similar trends have been observed in viral abundance in marine and estuarine sediment (Table <xref ref-type="table" rid="T1">1</xref>), however, the relative difference in water/sediment abundance cannot be assessed due to the small sample size. Nonetheless, Staggemeier et al. (<xref ref-type="bibr" rid="B230">2015a</xref>,<xref ref-type="bibr" rid="B229">b</xref>) directly compared the concentrations of adenoviruses in corresponding water and sediment samples derived from freshwater streams, dams, and springs and found that the viral abundance in sediment was significantly higher than in the overlying water. Importantly, they found that adenoviruses may be present in sediment in the absence of the virus in the water column. Anderson et al. (<xref ref-type="bibr" rid="B7">2005</xref>) found that sediment had greater spatial variability in bacterial abundance than water, and that populations of enteric organisms can persist in the environment. The high natural variability in the sediment fraction for both bacteria and viruses, has been linked to methodological differences in dissociation from sediment particles which may result in inconsistent enumeration (Anderson et al., <xref ref-type="bibr" rid="B7">2005</xref>; Miura et al., <xref ref-type="bibr" rid="B157">2011</xref>; Pachepsky and Shelton, <xref ref-type="bibr" rid="B174">2011</xref>).</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p><bold>Abundance of fecal bacteria and viruses associated with coastal and estuarine sediments</bold>.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Bacteria</bold></th>
<th valign="top" align="center"><bold>Sediments Range or average</bold></th>
<th valign="top" align="center"><bold>Water column Range or average</bold></th>
<th valign="top" align="left"><bold>References</bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center" style="border-top: thin solid #000000;"><bold>CFU or MPN 100 g WW<sup>&#x02212;1</sup></bold></th>
<th valign="top" align="center" style="border-top: thin solid #000000;"><bold>CFU or MPN 100 ml<sup>&#x02212;1</sup></bold></th>
<th/>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Fecal coliforms</td>
<td valign="top" align="center">80&#x02013;200,000</td>
<td valign="top" align="center">8&#x02013;9400</td>
<td valign="top" align="left">Alc&#x000E2;ntara and Almeida, <xref ref-type="bibr" rid="B2">1995</xref>; Lucena et al., <xref ref-type="bibr" rid="B146">1996</xref>; Bonilla et al., <xref ref-type="bibr" rid="B25">2007</xref>; Abdelzaher et al., <xref ref-type="bibr" rid="B1">2010</xref>; Luna et al., <xref ref-type="bibr" rid="B147">2010</xref>; Vignaroli et al., <xref ref-type="bibr" rid="B249">2013</xref>; Borade et al., <xref ref-type="bibr" rid="B26">2014</xref>.</td>
</tr>
<tr>
<td valign="top" align="left"><italic>E. coli</italic></td>
<td valign="top" align="center">19&#x02013;100,000</td>
<td valign="top" align="center">0&#x02013;6700</td>
<td valign="top" align="left">Evanson and Ambrose, <xref ref-type="bibr" rid="B67">2006</xref>; Bonilla et al., <xref ref-type="bibr" rid="B25">2007</xref>; Abdelzaher et al., <xref ref-type="bibr" rid="B1">2010</xref>; Stumpf et al., <xref ref-type="bibr" rid="B237">2010</xref>; Borade et al., <xref ref-type="bibr" rid="B26">2014</xref>.</td>
</tr>
<tr>
<td valign="top" align="left">Fecal Streptococci</td>
<td valign="top" align="center">190&#x02013;19,000</td>
<td valign="top" align="center">6&#x02013;240</td>
<td valign="top" align="left">Alc&#x000E2;ntara and Almeida, <xref ref-type="bibr" rid="B2">1995</xref>; Lucena et al., <xref ref-type="bibr" rid="B146">1996</xref>.</td>
</tr>
<tr>
<td valign="top" align="left"><italic>Enterococcus</italic> spp.</td>
<td valign="top" align="center">80&#x02013;136,000</td>
<td valign="top" align="center">0&#x02013;240</td>
<td valign="top" align="left">Evanson and Ambrose, <xref ref-type="bibr" rid="B67">2006</xref>; Bonilla et al., <xref ref-type="bibr" rid="B25">2007</xref>; Abdelzaher et al., <xref ref-type="bibr" rid="B1">2010</xref>; Stumpf et al., <xref ref-type="bibr" rid="B237">2010</xref>; Vignaroli et al., <xref ref-type="bibr" rid="B249">2013</xref>.</td>
</tr>
<tr>
<td valign="top" align="left"><italic>E. faecalis</italic></td>
<td valign="top" align="center">ND</td>
<td valign="top" align="center">200</td>
<td valign="top" align="left">Borade et al., <xref ref-type="bibr" rid="B26">2014</xref>.</td>
</tr>
<tr>
<td valign="top" align="left"><italic>Clostridium perfringens</italic></td>
<td valign="top" align="center">300&#x02013;1,500,000</td>
<td valign="top" align="center">&#x0003C;2&#x02013;13</td>
<td valign="top" align="left">Lucena et al., <xref ref-type="bibr" rid="B146">1996</xref>; Abdelzaher et al., <xref ref-type="bibr" rid="B1">2010</xref>.</td>
</tr>
<tr>
<td valign="top" align="left"><italic>Staphylococcus aureus</italic></td>
<td valign="top" align="center">ND</td>
<td valign="top" align="center">ND</td>
<td valign="top" align="left">Abdelzaher et al., <xref ref-type="bibr" rid="B1">2010</xref>.</td>
</tr>
<tr>
<td valign="top" align="left"><italic>Salmonella</italic> spp.</td>
<td valign="top" align="center">ND&#x02013;262,500</td>
<td valign="top" align="center">600&#x02013;1500</td>
<td valign="top" align="left">Borade et al., <xref ref-type="bibr" rid="B26">2014</xref>.</td>
</tr>
<tr>
<td valign="top" align="left"><italic>Shigella</italic> spp.</td>
<td valign="top" align="center">ND</td>
<td valign="top" align="center">1600</td>
<td valign="top" align="left">Borade et al., <xref ref-type="bibr" rid="B26">2014</xref>.</td>
</tr>
<tr>
<td valign="top" align="left"><italic>Proteus</italic> spp. and <italic>Klebsiella</italic> spp.</td>
<td valign="top" align="center">6300&#x02013;543,700</td>
<td valign="top" align="center">5400&#x02013;5600</td>
<td valign="top" align="left">Borade et al., <xref ref-type="bibr" rid="B26">2014</xref>.</td>
</tr>
<tr>
<td valign="top" align="left"><italic>Aeromonas</italic> spp.</td>
<td valign="top" align="center">36,000</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="left">Lucena et al., <xref ref-type="bibr" rid="B146">1996</xref>.</td>
</tr>
<tr>
<td valign="top" align="left"><italic>Vibrio</italic> spp.<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">31,300&#x02013;756,200</td>
<td valign="top" align="center">3000&#x02013;6600</td>
<td valign="top" align="left">Borade et al., <xref ref-type="bibr" rid="B26">2014</xref>.</td>
</tr>
<tr style="border-top: thin solid #000000;">
<td valign="top" align="left"><bold>Viruses</bold></td>
<td valign="top" align="center" style="border-bottom: thin solid #000000;"><bold>Sediments Range or average</bold></td>
<td valign="top" align="center" style="border-bottom: thin solid #000000;"><bold>Water column Range or average</bold></td>
<td valign="top" align="left"><bold>References</bold></td>
</tr>
<tr>
<td/>
<td valign="top" align="center"><bold>PFU or GC 100 g WW<sup>&#x02212;1</sup></bold></td>
<td valign="top" align="center"><bold>PFU or GC 100 ml<sup>&#x02212;1</sup></bold></td>
<td/>
</tr>
<tr style="border-top: thin solid #000000;">
<td valign="top" align="left">Enterovirus</td>
<td valign="top" align="center">3.3&#x02013;19.08 (6&#x02013;75)</td>
<td valign="top" align="center">ND&#x02013;160 (ND)</td>
<td valign="top" align="left">Gerba et al., <xref ref-type="bibr" rid="B81">1977a</xref>; Rao et al., <xref ref-type="bibr" rid="B198">1984</xref>, <xref ref-type="bibr" rid="B196">1986a</xref>; Le Guyader et al., <xref ref-type="bibr" rid="B135">1994</xref>; Alc&#x000E2;ntara and Almeida, <xref ref-type="bibr" rid="B2">1995</xref>; Lucena et al., <xref ref-type="bibr" rid="B146">1996</xref>; Green and Lewis, <xref ref-type="bibr" rid="B92">1999</xref>; Abdelzaher et al., <xref ref-type="bibr" rid="B1">2010</xref>; Miura et al., <xref ref-type="bibr" rid="B157">2011</xref>.<xref ref-type="table-fn" rid="TN3"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Norovirus</td>
<td valign="top" align="center">ND</td>
<td valign="top" align="center">ND</td>
<td valign="top" align="left">Abdelzaher et al., <xref ref-type="bibr" rid="B1">2010</xref>.</td>
</tr>
<tr>
<td valign="top" align="left">Norovirus GI</td>
<td valign="top" align="center">ND (24)</td>
<td valign="top" align="center">ND (0)</td>
<td valign="top" align="left">Miura et al., <xref ref-type="bibr" rid="B157">2011</xref>; Norman et al., <xref ref-type="bibr" rid="B163">2013</xref>.<xref ref-type="table-fn" rid="TN3"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Norovirus GII</td>
<td valign="top" align="center">BDL (ND&#x02013;6)</td>
<td valign="top" align="center">ND</td>
<td valign="top" align="left">Miura et al., <xref ref-type="bibr" rid="B157">2011</xref>; Norman et al., <xref ref-type="bibr" rid="B163">2013</xref>.</td>
</tr>
<tr>
<td valign="top" align="left">Rotavirus</td>
<td valign="top" align="center">12/4</td>
<td valign="top" align="center">31&#x02013;265</td>
<td valign="top" align="left">Rao et al., <xref ref-type="bibr" rid="B196">1986a</xref>; Alc&#x000E2;ntara and Almeida, <xref ref-type="bibr" rid="B2">1995</xref>; Green and Lewis, <xref ref-type="bibr" rid="B92">1999</xref>.</td>
</tr>
<tr>
<td valign="top" align="left">Hepatitis A virus</td>
<td valign="top" align="center">(0&#x02013;87.5)</td>
<td valign="top" align="center">(0)</td>
<td valign="top" align="left">Le Guyader et al., <xref ref-type="bibr" rid="B135">1994</xref>; Green and Lewis, <xref ref-type="bibr" rid="B92">1999</xref>; Abdelzaher et al., <xref ref-type="bibr" rid="B1">2010</xref>.<xref ref-type="table-fn" rid="TN3"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Human adenovirus</td>
<td valign="top" align="center">197,000&#x02013;6,960,000</td>
<td valign="top" align="center">15,700&#x02013;20,800,000</td>
<td valign="top" align="left">Staggemeier et al., <xref ref-type="bibr" rid="B230">2015a</xref><xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Human polyomavirus</td>
<td valign="top" align="center">(Present)</td>
<td valign="top" align="center">(Present)</td>
<td valign="top" align="left">Abdelzaher et al., <xref ref-type="bibr" rid="B1">2010</xref>.<xref ref-type="table-fn" rid="TN3"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Somatic coliphage</td>
<td valign="top" align="center">ND&#x02013;240,000 (36)</td>
<td valign="top" align="center">&#x0003C;1&#x02013;6 (19)</td>
<td valign="top" align="left">Alc&#x000E2;ntara and Almeida, <xref ref-type="bibr" rid="B2">1995</xref>; Lucena et al., <xref ref-type="bibr" rid="B146">1996</xref>; Bonilla et al., <xref ref-type="bibr" rid="B25">2007</xref>.<xref ref-type="table-fn" rid="TN3"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">F&#x0002B; coliphage</td>
<td valign="top" align="center">ND&#x02013;102 (2)</td>
<td valign="top" align="center">&#x0003C;1&#x02013;3 (0)</td>
<td valign="top" align="left">Alc&#x000E2;ntara and Almeida, <xref ref-type="bibr" rid="B2">1995</xref>; Bonilla et al., <xref ref-type="bibr" rid="B25">2007</xref>.<xref ref-type="table-fn" rid="TN3"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">FRNA-bacteriophage</td>
<td valign="top" align="center">ND&#x02013;20</td>
<td valign="top" align="center">&#x0003C;1&#x02013;3</td>
<td valign="top" align="left">Alc&#x000E2;ntara and Almeida, <xref ref-type="bibr" rid="B2">1995</xref>.</td>
</tr>
<tr>
<td valign="top" align="left"><italic>Bacteroides fragilis</italic> bacteriophage</td>
<td valign="top" align="center">0&#x02013;2400</td>
<td valign="top" align="center">0&#x02013;2640</td>
<td valign="top" align="left">Alc&#x000E2;ntara and Almeida, <xref ref-type="bibr" rid="B2">1995</xref>; Lucena et al., <xref ref-type="bibr" rid="B146">1996</xref>.</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TN1">
<label>&#x0002A;</label>
<p><italic>Vibrio spp. are ubiquitous in the marine environment and facultative pathogens</italic>.</p></fn>
<fn id="TN2">
<label>&#x0002A;&#x0002A;</label>
<p><italic>Human adenovirus detected in freshwater. ND, none detected. &#x02013;, not analysed; CFU, Colony forming units; MPN, Most probable number; WW, Wet weight. FRNA bacteriophage, Male specific (F) RNA bacteriophage</italic>.</p></fn>
<fn id="TN3">
<label>a</label>
<p><italic>Numbers in parenthesis indicate the prevalence of the virus in a separate study (%) BDL, below detection limit (qPCR); PFU, Plaque forming units; GC, Gene Copies</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Pathogens and FIOs also associate with suspended solids (flocs) present in the overlying water column (Rao et al., <xref ref-type="bibr" rid="B198">1984</xref>, <xref ref-type="bibr" rid="B196">1986a</xref>; Jamieson R. et al., <xref ref-type="bibr" rid="B116">2005</xref>). The floc fraction is prone to resuspend easily (Pachepsky et al., <xref ref-type="bibr" rid="B173">2009a</xref>) and is an important but poorly quantified contributor to bacterial loading for water quality monitoring (Malham et al., <xref ref-type="bibr" rid="B149">2014</xref>). However, flocs are ephemeral and prone to break up on disturbance, which provides a technical challenge to enumeration. Numerous studies, have reported a decrease in the number of bacteria and viruses with sediment depth (Obiri-Danso and Jones, <xref ref-type="bibr" rid="B164">2000</xref>; Filippini and Middelboe, <xref ref-type="bibr" rid="B71">2007</xref>; Berthe et al., <xref ref-type="bibr" rid="B22">2008</xref>). Recent research showed a two-log reduction in culturable <italic>E. coli</italic> from the sediment surface (top 1 cm) to 4 cm in depth (Pachepsky and Shelton, <xref ref-type="bibr" rid="B174">2011</xref>). Generally, the top 2 cm of sediment is considered to have high FIO abundance whereas below 2 cm has significantly lower abundance (Ferguson et al., <xref ref-type="bibr" rid="B69">1996</xref>; Haller and Amedegnato, <xref ref-type="bibr" rid="B97">2009</xref>; Drummond et al., <xref ref-type="bibr" rid="B63">2014a</xref>). Distinct seasonality of bacteria in sediments has been observed, with greater abundance in autumn-winter months compared to spring-summer months (Goyal et al., <xref ref-type="bibr" rid="B91">1977</xref>; Crabill et al., <xref ref-type="bibr" rid="B51">1999</xref>). In contrast, Ishii et al. (<xref ref-type="bibr" rid="B114">2006</xref>) found that summer to autumn had greater abundance in soils and winter to spring had the lowest abundance. Meays et al. (<xref ref-type="bibr" rid="B153">2006</xref>) noted a distinct diurnal pattern in <italic>E. coli</italic> abundance in the water column, possibly due to UV light inactivation (Kay et al., <xref ref-type="bibr" rid="B122">2005</xref>; Walters et al., <xref ref-type="bibr" rid="B254">2013</xref>), while the greater stability and protection from stressful conditions could reduce short term changes in abundance. Physio-chemical conditions such as temperature, turbidity, salinity, nutrient and oxygen concentrations and water depth are all important factors controlling the distribution of bacteria (Perkins et al., <xref ref-type="bibr" rid="B183">2014</xref>). The weather, season, disease prevalence in the community; tides and freshwater inputs; time of day; sediment type (sand/mud) and deposition rates; distance from the shore; and predation by, and competition with, the intrinsic microbial community also affects the abundance and distribution of bacteria and viruses (Kirschner et al., <xref ref-type="bibr" rid="B127">2004</xref>; Jamieson R. C. et al., <xref ref-type="bibr" rid="B115">2005</xref>). The complexity of interacting factors that influence pathogen and FIO survival in sediments often restricts direct comparison between studies. Effective surveillance alongside sufficient site/sediment characterization may enable further insights into the influence of the sediment fraction on bathing water quality (Ouattara et al., <xref ref-type="bibr" rid="B171">2013</xref>; Huang et al., <xref ref-type="bibr" rid="B112">2015</xref>). Reports suggest that the number of infectious or culturable pathogens may correlate poorly with the number detected by molecular approaches. Therefore, integrated surveillance schemes using both molecular detection of bacterial/viral genomes by PCR and culture-based methods (e.g., bacterial culture or viral infectivity cell culture tests) may be required (Bae and Schwab, <xref ref-type="bibr" rid="B18">2008</xref>). However, high degrees of inhibition at either the extraction or genome quantification stages suggest that optimization and standardization of molecular methodology in sediments is also required (Miura et al., <xref ref-type="bibr" rid="B157">2011</xref>).</p>
<p>Enteric phages (e.g., F<sup>&#x0002B;</sup> RNA coliphages) have been utilized as general markers of fecal pollution. Advantages of this approach includes, target specificity (each phage is typically specific to one host) and their greater environmental persistence in comparison to FIOs; typically 3-fold longer under controlled conditions (Allwood et al., <xref ref-type="bibr" rid="B5">2003</xref>). In addition, source apportionment can be undertaken using different genogroups of F<sup>&#x0002B;</sup> RNA coliphages (e.g., I, IV for animal and II and III for human) (Shahrampour et al., <xref ref-type="bibr" rid="B217">2015</xref>). Concentrations of F<sup>&#x0002B;</sup> RNA coliphages were between 9 and 20 fold higher in sediments than the overlying water column (Alc&#x000E2;ntara and Almeida, <xref ref-type="bibr" rid="B2">1995</xref>). Under controlled conditions, F<sup>&#x0002B;</sup> RNA coliphages show poor correlation with <italic>E. coli</italic>, therefore cannot be readily compared to larger historic datasets (usually <italic>E. coli</italic> or intestinal enterococcus). However, coliphages correlate better with disease incidence and concentrations of pathogens (e.g., norovirus; Dor&#x000E9; et al., <xref ref-type="bibr" rid="B106">2000</xref>). Typically, next generation approaches are being used for microbial source tracking (See Section Outlook), however, F<sup>&#x0002B;</sup> RNA coliphages still provide a useful indicator of viral culturability.</p>
</sec>
<sec id="s3">
<title>Sediment characteristics governing bacteria particle interaction</title>
<sec>
<title>Bacterial adsorption</title>
<p>Bacterial adsorption principally occurs through physicochemical forcing as described by the extended Derjaguin&#x02013;Landau&#x02013;Verwey&#x02013;Overbeek (DVLO) theory (van Loosdrecht et al., <xref ref-type="bibr" rid="B247">1989</xref>). However, a number of factors can increase the rate of association with particle surfaces. Hermansson (<xref ref-type="bibr" rid="B108">1999</xref>) showed that a high ionic strength promotes adsorption between particulate matter and bacteria (Jiang et al., <xref ref-type="bibr" rid="B117">2007</xref>). Cao et al. (<xref ref-type="bibr" rid="B35">2011</xref>) found that bacterial adsorption to extracellular polymeric substance (EPS) occurs at a greater rate in the presence of sodium ions. Cations reduce the repulsive electrostatic charge of clay particles and allow formation of cation bridges between functional groups of EPS and negatively charged sites of clays. After the long range DVLO interactions have occurred, bacterial cell wall constituents such as extracellular lipopolysaccharides and surface appendages act to increase adsorption by reducing fine scale repulsive forces (e.g., van Loosdrecht et al., <xref ref-type="bibr" rid="B247">1989</xref>; Gilbert et al., <xref ref-type="bibr" rid="B85">1991</xref>). The surface physicochemical properties of particle surfaces therefore influences attachment (Mills and Powelson, <xref ref-type="bibr" rid="B156">1996</xref>; Foppen et al., <xref ref-type="bibr" rid="B74">2010</xref>). A principal factor governing interaction with particles is the surface charge of bacteria. Surface charge can influence binding efficacy to sediment surfaces, as chemical interactions in the electrical double layer dominate effective charge and therefore association between sediment and bacteria. <italic>E. coli</italic> and other FIOs typically have an overall net negative surface charge due to the prevalence of carboxyl groups within the cell wall and EPS (Foppen and Schijven, <xref ref-type="bibr" rid="B73">2006</xref>), which could result in attraction or repulsion to strongly positively or negatively charged particles respectively. The surface charge of <italic>Escherichia coli</italic> varies with serotypes suggesting bacteria from different sources could bind differently to sediment (Castro and Tufenkji, <xref ref-type="bibr" rid="B39">2007</xref>; Foppen et al., <xref ref-type="bibr" rid="B74">2010</xref>). Furthermore, Gottenbos et al. (<xref ref-type="bibr" rid="B90">2001</xref>) found that bacteria adhered more rapidly to positively charged surfaces but electrostatic interaction impeded bacterial growth after adsorption in pure culture experiments. This interaction decreased the bacterial adenosine triphosphate content and proton motive force upon adhesion (Hong and Brown, <xref ref-type="bibr" rid="B109">2009</xref>) supporting the decreased cell viability identified by van der Mei et al. (<xref ref-type="bibr" rid="B244">2008</xref>). Conversely, negatively charged surfaces could promote the opposite, favoring growth of bacteria. Hadjiev et al. (<xref ref-type="bibr" rid="B96">2007</xref>) found biofilm attachment is greatest at the maximum surface energy difference between biofilm and material surface. Surface characteristics such as flagellar antigen sites, can vary significantly with species and strain altering the hydrophobicity, electrostatic balance, roughness and surface area parameters of the bacterial surface resulting in markedly different adsorption characteristics to sediment (van Loosdrecht et al., <xref ref-type="bibr" rid="B246">1987</xref>; Stenstr&#x000F6;m, <xref ref-type="bibr" rid="B234">1989</xref>; Bilge et al., <xref ref-type="bibr" rid="B23">1996</xref>; Pachepsky et al., <xref ref-type="bibr" rid="B175">2009b</xref>; Foppen et al., <xref ref-type="bibr" rid="B74">2010</xref>).</p>
<p>Surface characteristics may also be affected by biological aspects such as the metabolic state of the organism. For example, both hydrophobicity and zeta potential (as a measure of wetness) has been shown to be related to the growth rate or phase in <italic>E. coli</italic> (Allison et al., <xref ref-type="bibr" rid="B4">1990</xref>; Smets et al., <xref ref-type="bibr" rid="B225">1999</xref>). A comparison of 17 <italic>E. coli</italic> strains, isolated from livestock or water sources, showed an order of magnitude difference in attachment efficacy when binding to quartz sand, with the most efficient stains concurrently possessing the highest number of genes associated with adhesion, toxin production, iron acquisition, or capsular synthesis (Cook et al., <xref ref-type="bibr" rid="B47">2011</xref>). The mineral chemical and surface composition, organic content and particle size affect the propensity of bacterial cells to adhere or release to the particles (Pachepsky et al., <xref ref-type="bibr" rid="B175">2009b</xref>; Hazen and Sverjensky, <xref ref-type="bibr" rid="B102">2010</xref>). Scholl and Harvey (<xref ref-type="bibr" rid="B213">1992</xref>) showed that the mineral surface charge controlled initial adhesion of hydrophilic bacteria. Mineralogy and elemental composition often differs between sediment size fractions, with the smaller particles of the clay fraction providing a larger and more reactive surface area for adsorption (Perkins et al., <xref ref-type="bibr" rid="B183">2014</xref>). Most surfaces are coated in reactive groups such as metals, metal oxides and hydroxides and organic material such as proteins through a process known as surface conditioning (Mills and Powelson, <xref ref-type="bibr" rid="B156">1996</xref>). Quartz tends to have greater adhesion when the isoelectric point (pI) of the compound differs greatly from the point of zero charge of quartz. In contrast, a large difference in pI reduces adhesion in clay minerals (Hazen and Sverjensky, <xref ref-type="bibr" rid="B102">2010</xref>). However, surface properties may not modify the microbial viability post initial adhesion (Busscher et al., <xref ref-type="bibr" rid="B30">1995</xref>). The presence of a conditioning film could mask the impact of surface properties by acting as a barrier to chemical and spatial heterogeneity, for example Lorite et al. (<xref ref-type="bibr" rid="B143">2011</xref>) showed that a conditioning film reduces film hydrophilicity and roughness of a material surface, which could influence the rate of subsequent film formation. Alternatively, the film could provide a link between the material surface and bacteria (Singh et al., <xref ref-type="bibr" rid="B221">2011</xref>). The importance of roughness is twofold: firstly, it protects the initial bacteria during adhesion from deleterious effects of shear and second, provides greater surface area for adhesion to occur (van Loosdrecht et al., <xref ref-type="bibr" rid="B247">1989</xref>; Stephenson et al., <xref ref-type="bibr" rid="B235">2013</xref>). Singh et al. (<xref ref-type="bibr" rid="B221">2011</xref>) identified a threshold of &#x0007E;20 nm surface roughness where superior protein adsorption substantially decreased attachment rates and biofilm formation by clogging nanoscale pores on the material surface, although whether this influences adhesion of sediment in the field requires further attention.</p>
<p>Fecal coliforms such as <italic>E. coli</italic> predominantly attach to small particles (&#x0003C; 2 &#x003BC;m), increasing the ease by which they are transported and dispersed in the environment (Muirhead et al., <xref ref-type="bibr" rid="B159">2006</xref>; Goldscheider et al., <xref ref-type="bibr" rid="B88">2010</xref>). Bacterial binding to surfaces, including sediment particles, can be reversible or more permanent (van Loosdrecht et al., <xref ref-type="bibr" rid="B247">1989</xref>; Van Houdt and Michiels, <xref ref-type="bibr" rid="B245">2005</xref>). Fecally derived bacteria are more frequently associated with finer sediments and particles (Chan et al., <xref ref-type="bibr" rid="B41">1979</xref>; Ferguson et al., <xref ref-type="bibr" rid="B69">1996</xref>) than suspended free within the water column (Gerba et al., <xref ref-type="bibr" rid="B81">1977a</xref>; Table <xref ref-type="table" rid="T1">1</xref>). Particulate association is important for transport processes: cells attached to larger particles settle to the stream bed, whilst unattached cells, or those attached to small buoyant particles, are likely to be transported further, particularly during storm events (Jamieson, R. C. et al., 2005). Previous research has defined coastal or estuarine sediments as a sink of fecally derived bacteria (Obiri-Danso and Jones, <xref ref-type="bibr" rid="B164">2000</xref>; Deloffre et al., <xref ref-type="bibr" rid="B59">2005</xref>; Berthe et al., <xref ref-type="bibr" rid="B22">2008</xref>; Perkins et al., <xref ref-type="bibr" rid="B183">2014</xref>). Subsequent sediment re-entrainment during storm events, recreational water use, mechanical disturbance and tidal resuspension on mudflats can, therefore, lead to deterioration in microbiological water quality (Crabill et al., <xref ref-type="bibr" rid="B51">1999</xref>).</p>
</sec>
<sec>
<title>Survival of bacterial FIOs in water and sediment</title>
<sec>
<title>Growth and persistence of FIOs and pathogens</title>
<p>The growth of fecally derived bacteria in the environment appears to be restricted mainly to tropical climates or sediments that are subject to intermittent immersion and drying such as riverbank soil, estuaries or coastlines subject to tidal drying and wetting (Table <xref ref-type="table" rid="T2">2</xref>) or in the absence of predators (Davies et al., <xref ref-type="bibr" rid="B56">1995</xref>). Maximum decay rates of FIOs in sediments of between &#x02212;1.1 and &#x02212;1.3 log<sub>10</sub>CFU/100 g.sediment./d have been reported (Table <xref ref-type="table" rid="T2">2</xref>). Although lower inactivation of FIOs of between &#x02212;0.011 and &#x02212;0.138 log<sub>10</sub>CFU/100 g.sediment./d and persistence of human pathogens has been reported (Davies et al., <xref ref-type="bibr" rid="B56">1995</xref>). Highly variable survival of <italic>E. coli</italic> in freshwaters has been reported (Table <xref ref-type="table" rid="T3">3</xref>) Research suggests sediment associated bacteria exhibit greater survival in marine and river waters compared to free floating bacteria (Roper and Marshall, <xref ref-type="bibr" rid="B205">1979</xref>). For example, the presence of clays resulted in increased <italic>E. coli</italic> survival from phage attack by &#x0007E;60% (Roper and Marshall, <xref ref-type="bibr" rid="B204">1974</xref>). Particle-bound fecally derived bacteria are partially shielded from most antimicrobial agents or harmful processes such as UV light that might occur in the water. Schultz-Fademrecht et al. (<xref ref-type="bibr" rid="B214">2008</xref>), found a 2&#x02013;4 log increase in FIOs in a streambed biofilm compared to the overlying water column, possibly due to light inactivation in the water but not the sediment or biofilm. In comparative studies, <italic>E. coli</italic> survives longer in sediments containing at least 25% clay (&#x0003C; 2 &#x003BC;m) than in those with larger particles (Burton et al., <xref ref-type="bibr" rid="B29">1987</xref>). Sediment particle size plays a role, with coliforms able to survive for between 76 and 83% longer in sediment comprised mainly of clay particles compared with coarser sediments (Howell et al., <xref ref-type="bibr" rid="B110">1996</xref>). Garzio-Hadzick et al. (<xref ref-type="bibr" rid="B78">2010</xref>) showed that fine particulates and organic carbon resulted in slower inactivation in streambed sediments. The composition of clay was also found to impact pathogen survival with goethite reducing viability of pathogenic <italic>E. coli</italic> by 95% compared to other clay types (Cai et al., <xref ref-type="bibr" rid="B33">2013</xref>). The levels of montmorillonite in soil has been associated with reduced occurrence of some human pathogens and greater survival of indigenous bacteria (Filip, <xref ref-type="bibr" rid="B70">1973</xref>); whilst bentonite clays have been shown to inhibit protozoal grazing of <italic>Rhizobium</italic> in liquid culture (Heijnen et al., <xref ref-type="bibr" rid="B104">1991</xref>) and illite clay antagonizes <italic>E. coli</italic> by action of Fe<sup>2&#x0002B;</sup> ions on the particle surface resulting in loss of outer membrane integrity and therefore viability (Williams et al., <xref ref-type="bibr" rid="B262">2011</xref>; Cai et al., <xref ref-type="bibr" rid="B33">2013</xref>). Future research is necessary to determine whether the elemental/mineral composition of sediment influence the spatial variability of pathogens and fecal indicator bacteria in the environment under representative conditions.</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p><bold>Decay or growth of Fecally derived bacteria in coastal and estuarine sediments</bold>.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Species</bold></th>
<th valign="top" align="left"><bold>Habitat</bold></th>
<th valign="top" align="left"><bold>Temp (&#x000B0;C)</bold></th>
<th valign="top" align="left"><bold>Salinity (PSU)<xref ref-type="table-fn" rid="TN4"><sup>a</sup></xref></bold></th>
<th valign="top" align="left"><bold>Initial inoculation concentration</bold></th>
<th valign="top" align="left"><bold>Decay rates<xref ref-type="table-fn" rid="TN5"><sup>b</sup></xref> (log<sub>10</sub> CFU 100 g or ml d<sup>&#x02212;1</sup>)</bold></th>
<th valign="top" align="left"><bold>References</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><italic>E. coli</italic></td>
<td valign="top" align="left">Fecally contaminated estuarine sediment</td>
<td valign="top" align="left">24</td>
<td valign="top" align="left">4&#x02013;6</td>
<td valign="top" align="left">5 log<sub>10</sub> MPN 100 ml<sup>&#x02212;1</sup></td>
<td valign="top" align="left">&#x02212;0.128 (<italic>t</italic> &#x0003D; 4 days) (grew briefly over first 24 h)</td>
<td valign="top" align="left">Gerba and McLeod, <xref ref-type="bibr" rid="B82">1976</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Estuarine sediment</td>
<td valign="top" align="left">24</td>
<td valign="top" align="left">8&#x02013;18</td>
<td valign="top" align="left">&#x0007E;5.5 log<sub>10</sub> MPN 100 ml<sup>&#x02212;1</sup></td>
<td valign="top" align="left">&#x02212;0.152 (<italic>t</italic> &#x0003D; 4 days)</td>
<td/>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">24</td>
<td valign="top" align="left">8&#x02013;18</td>
<td valign="top" align="left">&#x0007E;9.5 log<sub>10</sub> MPN 100 ml<sup>&#x02212;1</sup></td>
<td valign="top" align="left">&#x02212;0.068 (<italic>t</italic> &#x0003D; 17 days)</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Coastal swash zone beach sediment</td>
<td valign="top" align="left">17 and 23</td>
<td valign="top" align="left">24</td>
<td valign="top" align="left">&#x0007E;6 log<sub>10</sub> CFU 100 g<sup>&#x02212;1</sup></td>
<td valign="top" align="left">&#x02212;0.199 (<italic>t</italic> &#x0003D; 9 days)</td>
<td valign="top" align="left">Korajkic et al., <xref ref-type="bibr" rid="B130">2013</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Riverbank soil of a tidally influenced tributary</td>
<td valign="top" align="left">25</td>
<td valign="top" align="left">10% seawater</td>
<td valign="top" align="left">&#x0007E;3 log<sub>10</sub> MPN 100 gDW<sup>&#x02212;1</sup></td>
<td valign="top" align="left">Growth after 12 h exceeded the limits of quantification</td>
<td valign="top" align="left">Solo-Gabriele et al., <xref ref-type="bibr" rid="B228">2000</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">&#x02212;0.8% initial moisture content</td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">14% initial moisture content</td>
<td/>
<td/>
<td valign="top" align="left">&#x0007E;4 log<sub>10</sub> MPN 100 gDW<sup>&#x02212;1</sup></td>
<td valign="top" align="left">&#x0002B;0.119 (<italic>t</italic> &#x0003D; 3)</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">34% initial moisture content</td>
<td/>
<td/>
<td valign="top" align="left">&#x0003C;1 log<sub>10</sub> MPN 100 gDW<sup>&#x02212;1</sup></td>
<td valign="top" align="left">&#x0002B;0.008 (<italic>t</italic> &#x0003D; 3)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left"><italic>Fecal colifo</italic></td>
<td/>
<td/>
<td/>
<td valign="top" align="left">&#x0007E;4 log<sub>10</sub> CFU 100 g<sup>&#x02212;1</sup></td>
<td valign="top" align="left">&#x02212;0.018 (<italic>t</italic> &#x0003D; 28 days)</td>
<td valign="top" align="left">Davies et al., <xref ref-type="bibr" rid="B56">1995</xref></td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">&#x0007E;4.8 log<sub>10</sub> CFU 100 g<sup>&#x02212;1</sup></td>
<td valign="top" align="left">&#x02212;0.138 (<italic>t</italic> &#x0003D; 28 days)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left"><italic>Fecal streptococcus</italic></td>
<td/>
<td/>
<td/>
<td valign="top" align="left">&#x0007E;3.7 log<sub>10</sub> CFU 100 g<sup>&#x02212;1</sup></td>
<td valign="top" align="left">&#x02212;0.004 (<italic>t</italic> &#x0003D; 28 days)</td>
<td/>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">&#x0007E;4 log<sub>10</sub> CFU 100 g<sup>&#x02212;1</sup></td>
<td valign="top" align="left">&#x02212;0.011 (<italic>t</italic> &#x0003D; 28 days)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Total <italic>Clostridium perfringens</italic></td>
<td valign="top" align="left">Marine sediment</td>
<td valign="top" align="left">22&#x02212;23</td>
<td valign="top" align="left">34&#x02212;35</td>
<td valign="top" align="left">&#x0007E;4.4 log<sub>10</sub> CFU 100 g<sup>&#x02212;1</sup></td>
<td valign="top" align="left">&#x0002B;0.001 (<italic>t</italic> &#x0003D; 28 days)</td>
<td/>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">&#x0007E;4.8 log<sub>10</sub> CFU 100 g<sup>&#x02212;1</sup></td>
<td valign="top" align="left">0.000 (<italic>t</italic> &#x0003D; 28 days)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left"><italic>C. perfringens</italic> spores</td>
<td/>
<td/>
<td/>
<td valign="top" align="left">&#x0007E;4.3 log<sub>10</sub> CFU 100 g<sup>&#x02212;1</sup></td>
<td valign="top" align="left">&#x0002B;0.001 (<italic>t</italic> &#x0003D; 28 days)</td>
<td/>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">&#x0007E;4.8 log<sub>10</sub> CFU 100 g<sup>&#x02212;1</sup></td>
<td valign="top" align="left">0.000 (<italic>t</italic> &#x0003D; 28 days)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Fecal coliforms<italic>Enterococcus</italic> spp.</td>
<td valign="top" align="left">Fecally contaminated saltwater sediment</td>
<td valign="top" align="left">Ambient</td>
<td valign="top" align="left">&#x0007E;30</td>
<td valign="top" align="left">5 log<sub>10</sub> CFU 100 ml<sup>&#x02212;1</sup></td>
<td valign="top" align="left">&#x02212;1.3 (<italic>t</italic> &#x0003D; 28 days)</td>
<td valign="top" align="left">Anderson et al., <xref ref-type="bibr" rid="B7">2005</xref></td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">5 log<sub>10</sub> CFU 100 ml<sup>&#x02212;1</sup></td>
<td valign="top" align="left">&#x02212;1.1 (<italic>t</italic> &#x0003D; 28 days)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left"><italic>E. coli</italic> O157</td>
<td valign="top" align="left">Intertidal sand at coastal beaches</td>
<td valign="top" align="left">10</td>
<td valign="top" align="left">34</td>
<td valign="top" align="left">8.3 log<sub>10</sub> CFU 100 ml<sup>&#x02212;1</sup></td>
<td valign="top" align="left">&#x02212;0.136 (<italic>t</italic> &#x0003D; 5 days)</td>
<td valign="top" align="left">Williams et al., <xref ref-type="bibr" rid="B261">2007</xref></td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">10</td>
<td valign="top" align="left">34</td>
<td valign="top" align="left">8.3 log<sub>10</sub> CFU 100 ml<sup>&#x02212;1</sup></td>
<td valign="top" align="left">&#x02212;0.086 (<italic>t</italic> &#x0003D; 5 days)</td>
<td/>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">10</td>
<td valign="top" align="left">34</td>
<td valign="top" align="left">8.3 log<sub>10</sub> CFU 100 ml<sup>&#x02212;1</sup></td>
<td valign="top" align="left">&#x02212;0.110 (<italic>t</italic> &#x0003D; 5 days)</td>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>PSU, Practical salinity units,</italic></p>
<fn id="TN4">
<label>a</label>
<p><italic>Salinity units not defined in study (assumed %&#x000B8;)</italic></p></fn>
<fn id="TN5">
<label>b</label>
<p><italic>Bacterial abundance from graphs, normalized per 100 ml or g, and decay rates resolved using the equation from Anderson et al. (<xref ref-type="bibr" rid="B7">2005</xref>): r &#x0003D; [ln(N<sub>t</sub>)-ln(N<sub>0</sub>)]/t. Where, N<sub>t</sub> is the number of bacteria (log<sub>10</sub> CFU 100 ml or g) at time t; N<sub>0</sub> is the number of bacteria (log<sub>10</sub> CFU 100 ml or g) at time 0, and t, time in days. A negative value denotes a decrease in the number of bacteria, whereas a positive value denotes an increase. The decay rates assume exponential decrease and should be applied with caution in sediments (Davies et al., <xref ref-type="bibr" rid="B56">1995</xref>). DW, Dry weight</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p><bold>Survival of generic and pathogenic <italic><bold>E. coli</bold></italic> in water</bold>.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Species</bold></th>
<th valign="top" align="left"><bold>Water source</bold></th>
<th valign="top" align="left"><bold>Factor/Variable investigated</bold></th>
<th valign="top" align="left" colspan="2"><bold>Measure of decline/survival</bold></th>
<th valign="top" align="left"><bold>References</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><italic>E. coli</italic> O157</td>
<td valign="top" align="left">Sterilized well water (4 sources)</td>
<td valign="top" align="left">Survival in Different Waters</td>
<td valign="top" align="left" colspan="2">2 log decline after 35 days</td>
<td valign="top" align="left">Geldreich et al., <xref ref-type="bibr" rid="B79">1992</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>E. coli</italic> O157 &#x00023;C4195 and &#x00023;932</td>
<td valign="top" align="left">Portable groundwater source</td>
<td valign="top" align="left">5&#x000B0;C</td>
<td valign="top" align="left" colspan="2">3.5 log reduction after 70 days</td>
<td valign="top" align="left">Rice et al., <xref ref-type="bibr" rid="B201">1992</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>E. coli</italic> &#x00023;R1</td>
<td/>
<td valign="top" align="left">20&#x000B0;C</td>
<td valign="top" align="left" colspan="2">5 log reduction after 35 days</td>
<td/>
</tr>
<tr>
<td valign="top" align="left"><italic>E. coli</italic></td>
<td valign="top" align="left">Sterile seawater</td>
<td/>
<td valign="top" align="left" colspan="2">Rate of die-off under light conditions</td>
<td valign="top" align="left">Alkan et al., <xref ref-type="bibr" rid="B3">1995</xref></td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">Turbidity</td>
<td valign="top" align="left" colspan="2">Significant effect</td>
<td/>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">Sewage</td>
<td valign="top" align="left" colspan="2">Significant effect</td>
<td/>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">Mixing</td>
<td valign="top" align="left" colspan="2">Significant effect</td>
<td/>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">Temperature</td>
<td valign="top" align="left" colspan="2">Not-significant effect</td>
<td/>
</tr>
<tr>
<td valign="top" align="left"><italic>E. coli</italic> K-12 (MC4100)</td>
<td valign="top" align="left">Filter sterile estuarine water</td>
<td valign="top" align="left">Organic Matter (Presence/Absence)</td>
<td valign="top" align="left" colspan="2">Linear regression slopes</td>
<td valign="top" align="left">Troussellier et al., <xref ref-type="bibr" rid="B242">1998</xref></td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">Salinity (Artificial Seawater/Physiological Water) Light (Presence/Absence)</td>
<td valign="top" align="left">OM&#x0002B;</td>
<td valign="top" align="left">OM&#x02212;</td>
<td/>
</tr>
<tr>
<td/>
<td/>
<td/>
<td valign="top" align="left">S &#x02013; L &#x02212;&#x0002B;0.050</td>
<td valign="top" align="left">&#x02212;0.005</td>
<td/>
</tr>
<tr>
<td/>
<td/>
<td/>
<td valign="top" align="left">S &#x0002B; L &#x02212;&#x02212;0.006</td>
<td valign="top" align="left">&#x02212;0.020</td>
<td/>
</tr>
<tr>
<td/>
<td/>
<td/>
<td valign="top" align="left">S &#x02013; L &#x0002B; &#x02212;0.060</td>
<td valign="top" align="left">&#x02212;0.110</td>
<td/>
</tr>
<tr>
<td/>
<td/>
<td/>
<td valign="top" align="left">S &#x0002B; L &#x0002B; &#x02212;0.120</td>
<td valign="top" align="left">&#x02212;0.100</td>
<td/>
</tr>
<tr>
<td valign="top" align="left"><italic>E coli</italic> O157</td>
<td valign="top" align="left">Filtered and autoclaved municipal water, in reservoir water, and in water from two recreational lakes</td>
<td valign="top" align="left">8&#x000B0;C25&#x000B0;C</td>
<td valign="top" align="left" colspan="2">1&#x02013;2 log drop after 91 days Detection limit reached 49&#x02013;84 days</td>
<td valign="top" align="left">Wang and Doyle, <xref ref-type="bibr" rid="B255">1998</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>E. coli</italic> O157:H7 (NCTC 12900)</td>
<td valign="top" align="left">Bottled natural drinking water</td>
<td valign="top" align="left">Survival in Unsterile mineral water</td>
<td valign="top" align="left" colspan="2">3 log reduction after 70 days</td>
<td valign="top" align="left">Kerr et al., <xref ref-type="bibr" rid="B123">1999</xref></td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">Sterile mineral water</td>
<td valign="top" align="left" colspan="2">3.5 log reduction after 70 days</td>
<td/>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">Sterile distilled water</td>
<td valign="top" align="left" colspan="2">4.5 log reduction after 70 days</td>
<td/>
</tr>
<tr>
<td valign="top" align="left"><italic>E. coli</italic> O157</td>
<td valign="top" align="left">River water</td>
<td valign="top" align="left">Survival in river water</td>
<td valign="top" align="left" colspan="2">Detection limit reached 27 days</td>
<td valign="top" align="left">Maule, <xref ref-type="bibr" rid="B151">2000</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>E. coli</italic> O157</td>
<td valign="top" align="left">Cattle drinking water (2 sources)</td>
<td valign="top" align="left">Temperature (5 and 15&#x000B0;C) Water source</td>
<td valign="top" align="left" colspan="2">1 water source&#x02014;no difference between temperatures</td>
<td valign="top" align="left">Rice and Johnson, <xref ref-type="bibr" rid="B200">2000</xref></td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td valign="top" align="left" colspan="2">2 water source&#x02014;5&#x000B0;C reached detection limit after 8 days</td>
<td/>
</tr>
<tr>
<td/>
<td/>
<td/>
<td valign="top" align="left" colspan="2">15&#x000B0;C reached detection limit after 4 days</td>
<td/>
</tr>
<tr>
<td valign="top" align="left"><italic>E. coli</italic> O157 (Environmental)</td>
<td valign="top" align="left">Cattle water troughs (473)</td>
<td valign="top" align="left">Water characteristics that encourage survival</td>
<td valign="top" align="left" colspan="2">Presence/absence 6/473</td>
<td valign="top" align="left">LeJeune et al., <xref ref-type="bibr" rid="B136">2001</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>E. coli</italic> O157 &#x00023;3704 Tn5 <italic>lux CDABE</italic></td>
<td valign="top" align="left">Well water from four different sites</td>
<td valign="top" align="left">Variation in several factors between sites &#x0002B; the presence of different organism</td>
<td valign="top" align="left" colspan="2">Number of <italic>E. coli</italic> O157 present reduced by copper, predation by protozoa and in competition with other microorganisms</td>
<td valign="top" align="left">Artz and Killham, <xref ref-type="bibr" rid="B11">2002</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>E. coli</italic> DH5&#x003B1;</td>
<td valign="top" align="left">Unsterile and sterile groundwater</td>
<td valign="top" align="left">Influence of microflora</td>
<td valign="top" align="left" colspan="2">Unsterile T90 2 days</td>
<td valign="top" align="left">Banning et al., <xref ref-type="bibr" rid="B19">2002</xref></td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td valign="top" align="left" colspan="2">Sterile T90 82 days</td>
<td/>
</tr>
<tr>
<td valign="top" align="left"><italic>E. coli</italic> O157:H7 (NCTC 12900)</td>
<td valign="top" align="left">River water&#x02014;with and without feces Sterile distilled water</td>
<td valign="top" align="left">Difference between temperature and water sources</td>
<td valign="top" align="left" colspan="2">River water w/o feces&#x02014;outside &#x0003C;15&#x000B0;C&#x02014;detection Limit reached after 14 days</td>
<td valign="top" align="left">McGee et al., <xref ref-type="bibr" rid="B152">2002</xref></td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td valign="top" align="left" colspan="2">&#x02212; inside 15&#x000B0;C&#x02014;Detection limit reached after &#x0003E;31 days</td>
<td/>
</tr>
<tr>
<td/>
<td/>
<td/>
<td valign="top" align="left" colspan="2">River water w/o Faeces&#x02014;Outside &#x0003C;15&#x000B0;C&#x02014;Detection limit reached after 24 days</td>
<td/>
</tr>
<tr>
<td/>
<td/>
<td/>
<td valign="top" align="left" colspan="2">Outside &#x0003C;15&#x000B0;C&#x02014;Detection limit reached after 17 days</td>
<td/>
</tr>
<tr>
<td/>
<td/>
<td/>
<td valign="top" align="left" colspan="2">Inside 15&#x000B0;C&#x02014;2.5 log drop after 31 days</td>
<td/>
</tr>
<tr>
<td valign="top" align="left"><italic>Escherichia coli</italic> Famp (ATCC 700891)</td>
<td valign="top" align="left">Dechlorinated water</td>
<td valign="top" align="left">10&#x000B0;C</td>
<td valign="top" align="left" colspan="2"><italic>D</italic>-Value 7.7 Days</td>
<td valign="top" align="left">Allwood et al., <xref ref-type="bibr" rid="B5">2003</xref></td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">22&#x000B0;C</td>
<td valign="top" align="left" colspan="2"><italic>D</italic>-Value 5.7 Days</td>
<td/>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">37&#x000B0;C</td>
<td valign="top" align="left" colspan="2"><italic>D</italic>-Value 3.0 Days</td>
<td/>
</tr>
<tr>
<td valign="top" align="left"><italic>E. coli</italic> O157 &#x00023;3704 Tn5 <italic>lux CDABE</italic> and <italic>E. coli</italic> O157 &#x00023;3704</td>
<td valign="top" align="left">Sterile artificial groundwater</td>
<td valign="top" align="left">Difference between the strains at 15&#x000B0;C</td>
<td valign="top" align="left" colspan="2">Both showed a 5-log drop over 70 days</td>
<td valign="top" align="left">Ritchie et al., <xref ref-type="bibr" rid="B202">2003</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>E. coli</italic> O157</td>
<td valign="top" align="left">Surface water from lakes and rivers</td>
<td valign="top" align="left">6&#x000B0;C</td>
<td valign="top" align="left" colspan="2">Detection limit reached 32&#x02013;51 Days</td>
<td valign="top" align="left">Czajkowska et al., <xref ref-type="bibr" rid="B52">2005</xref></td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">24&#x000B0;C</td>
<td valign="top" align="left" colspan="2">Detection limit reached 21&#x02013;32 Days</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">7 strains of <italic>E. coli</italic> O157</td>
<td valign="top" align="left">Untreated well water</td>
<td valign="top" align="left">10&#x000B0;C</td>
<td valign="top" align="left" colspan="2">2 strains&#x02014;1&#x02013;2 log drop after 56 days</td>
<td valign="top" align="left">Watterworth et al., <xref ref-type="bibr" rid="B258">2006</xref></td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td valign="top" align="left" colspan="2">2 strains&#x02014;4 log drop after 56 days</td>
<td/>
</tr>
<tr>
<td/>
<td/>
<td/>
<td valign="top" align="left" colspan="2">3 strains&#x02014;detection limit reached &#x0003C;42 days</td>
<td/>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">22&#x000B0;C</td>
<td valign="top" align="left" colspan="2">1 strain&#x02014;6&#x02013;7 log drop after 56 days</td>
<td/>
</tr>
<tr>
<td/>
<td/>
<td/>
<td valign="top" align="left" colspan="2">2 strains&#x02014;detection limit reached &#x0003C;56 days</td>
<td/>
</tr>
<tr>
<td/>
<td/>
<td/>
<td valign="top" align="left" colspan="2">4 strains&#x02014;detection limit reached &#x0003C;42 Days</td>
<td/>
</tr>
<tr>
<td valign="top" align="left"><italic>E. coli</italic> O157 &#x00023;3704</td>
<td valign="top" align="left">Non-sterile: lake Fecally contaminated puddle River Drinking trough</td>
<td valign="top" align="left">Variation in several factors between sites</td>
<td valign="top" align="left" colspan="2">T<sub>99</sub> 12.9 days</td>
<td valign="top" align="left">Avery et al., <xref ref-type="bibr" rid="B15">2008</xref></td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td valign="top" align="left" colspan="2">T<sub>99</sub> 17.8 days</td>
<td/>
</tr>
<tr>
<td/>
<td/>
<td/>
<td valign="top" align="left" colspan="2">T<sub>99</sub> 6.0 days</td>
<td/>
</tr>
<tr>
<td/>
<td/>
<td/>
<td valign="top" align="left" colspan="2">T<sub>99</sub> 6.3 days</td>
<td/>
</tr>
<tr>
<td valign="top" align="left"><italic>E. coli</italic> O157:H7</td>
<td valign="top" align="left">Pond and holding tank water</td>
<td valign="top" align="left">Difference between water sources</td>
<td valign="top" align="left" colspan="2">Pond&#x02014;detection limit reached after 33 days</td>
<td valign="top" align="left">Suhalim et al., <xref ref-type="bibr" rid="B238">2008</xref></td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td valign="top" align="left" colspan="2">Holding tank&#x02014;detection limit reached after 69 days</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">6 clinically isolated ETEC strains</td>
<td valign="top" align="left">Sterile-filtered sea water and freshwater</td>
<td valign="top" align="left">Induction of VBNC state in water</td>
<td valign="top" align="left" colspan="2">2 log drop after 12 weeks</td>
<td valign="top" align="left">Lothigius et al., <xref ref-type="bibr" rid="B144">2010</xref></td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec>
<title>Biofilm formation</title>
<p>Biofilm formation is an important microbial survival strategy in aquatic systems and biofilms are produced when nutrients are abundant (Costerton et al., <xref ref-type="bibr" rid="B49">1995</xref>). Typically, biofilm formation consists of five stages (Van Houdt and Michiels, <xref ref-type="bibr" rid="B245">2005</xref>). The first stage is a reversible association/attachment between the bacterium and the solid surface when brought together by flow of the medium (Figure <xref ref-type="fig" rid="F1">1A</xref>). This particle association can improve bacterial survival under stressful conditions (Figure <xref ref-type="fig" rid="F1">1B</xref>). The second stage of biofilm formation is the production of EPS, an important bacterial surface determinant of attachment and fimbriae that anchor the bacterium irreversibly to the solid surface (Junkins and Doyle, <xref ref-type="bibr" rid="B121">1992</xref>; Figure <xref ref-type="fig" rid="F1">1C</xref>). During the third and fourth stages, the structure of the EPS matrix matures with the addition of macromolecules such as proteins and deoxyribonucleic acid (DNA) (Sutherland, <xref ref-type="bibr" rid="B239">2001</xref>). The fourth stage is distinguished by the alteration of the biofilm to trap and funnel nutrients to those bacteria immobilized in that matrix. The final stage is the steady release of bacteria from the fully mature biofilm, which can occur through shear or sediment resuspension (Figure <xref ref-type="fig" rid="F1">1D</xref>). It is thought that quorum sensing plays a determinate role in biofilm formation (Costerton et al., <xref ref-type="bibr" rid="B49">1995</xref>) and the response of bacteria to high velocity fluid flow which varies at the transcriptional level (Kim et al., <xref ref-type="bibr" rid="B126">2016</xref>). Further work could elucidate the role of quorum sensing and FIO abundance in sediments.</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p><bold>Factors stimulating bacterial accumulation in the environment, induction to and resuscitation from VBNC state. (A)</bold> Bacterial-particle association and bacteria-bacteria association. <bold>(B)</bold> Environmental stressors such as high/low nutrients, oxygen, redox potential, and oxidative stress induce biofilm formation. <bold>(C)</bold> Transport and sedimentation provides a downward flux to sediment. As the biofilm grows on the sediment the mass transfer rate is no longer sufficient resulting in localized gradients in electron acceptors and nutrients. This results the induction of VBNC bacteria. <bold>(D)</bold> High flow events result in shear and can slough the biofilm, reducing the stabilizing effect of the EPS. <bold>(E)</bold>. This can further exacerbate the resuspension of bacteria within the water column leading to increased particulate load (Adapted from Ayrapetyan et al., <xref ref-type="bibr" rid="B17">2014b</xref>; Pinto et al., <xref ref-type="bibr" rid="B186">2015</xref>).</p></caption>
<graphic xlink:href="fmicb-07-01692-g0001.tif"/>
</fig>
<p>Intertidal mudflats are comprised of very small silt and clay particles deposited when low energy currents and wave action prevails (Stal and de Brouwer, <xref ref-type="bibr" rid="B231">2003</xref>). The stabilization of the sediment is due to a combination of compaction of the sediment during periods of drying (Stal and de Brouwer, <xref ref-type="bibr" rid="B231">2003</xref>) and through the release of EPS by diatoms and bacteria creating stabilizing biofilms (Madsen et al., <xref ref-type="bibr" rid="B148">1993</xref>). Enteric organisms such as <italic>E. coli</italic> (pathogenic strains), <italic>Campylobacter</italic> spp., <italic>Salmonella</italic> spp. and the pathogenic protozoan <italic>Cryptosporidium parvum</italic> are known for both creating and colonizing existing biofilms in drinking water systems (Wingender and Flemming, <xref ref-type="bibr" rid="B264">2011</xref>). <italic>Enterococcus</italic> spp. form biofilms in beach sand (Piggot et al., <xref ref-type="bibr" rid="B185">2012</xref>), whilst non-pathogenic <italic>E. coli</italic> are known to persist or even grow within coastal and estuarine environments, particularly in tropical/subtropical climates (Byappanahalli and Fujioka, <xref ref-type="bibr" rid="B32">1998</xref>) and non-pathogenic <italic>Clostridium</italic> spp. have been isolated from an estuarine mudflat (Villanueva et al., <xref ref-type="bibr" rid="B250">2007</xref>). At locations where significant fecal contamination occurs, FIOs/pathogens can colonize existing biofilm communities. Enteropathogenic <italic>E. coli</italic> O157:H7 is known to produce biofilms on a range of solid surfaces such as plastic, steel, wood, plant roots and leaves, facilitating long-term survival in the environment (Cooper et al., <xref ref-type="bibr" rid="B48">2007</xref>). The ability of <italic>E. coli</italic> O157:H7 to produce biofilms, however, was dependent on the presence of other bacteria (Bauman et al., <xref ref-type="bibr" rid="B21">2009</xref>; Klayman et al., <xref ref-type="bibr" rid="B129">2009</xref>), and it is likely that surface roughness and the age of the biofilm are major determinants for survival (Korber et al., <xref ref-type="bibr" rid="B131">1997</xref>). Biofilms have also been shown to be a reservoir for enteric viruses, suggesting that these entities persist longer in biofilms than in drinking water and wastewater (Skraber et al., <xref ref-type="bibr" rid="B224">2005</xref>, <xref ref-type="bibr" rid="B223">2009</xref>). Biofilms have been shown to provide protection from the surrounding environment, such as from antimicrobial compounds (e.g., chlorine) and UV exposure (Quignon et al., <xref ref-type="bibr" rid="B190">1997</xref>; Ryu and Beuchat, <xref ref-type="bibr" rid="B208">2005</xref>), and can enhance the infectivity of some organisms such as <italic>Legionella</italic> spp. (Wingender and Flemming, <xref ref-type="bibr" rid="B264">2011</xref>); thus, facilitating persistence of these organisms and viruses. Another important aspect of biofilms is their potential for harboring bacteria in the VBNC state (Bryers, <xref ref-type="bibr" rid="B28">2000</xref>; Schultz-Fademrecht et al., <xref ref-type="bibr" rid="B214">2008</xref>; Wingender and Flemming, <xref ref-type="bibr" rid="B264">2011</xref>). Therefore, quantifying the survival of bacteria in the environment is not a straightforward exercise.</p>
</sec>
<sec>
<title>Metabolic activity of fecal bacteria</title>
<p>Fecally derived bacteria are introduced into the aquatic environment through surface run off, wastewater discharge or direct defecation. However, the viability, persistence and metabolic activity within or between indicator species is not constant in the environment (Anderson et al., <xref ref-type="bibr" rid="B7">2005</xref>). For example, the metabolic activity of a bioluminescent strain of <italic>E. coli</italic> O157:H7 decreased due to exposure to salt water, whilst elevated nutrients boosted its microbial activity (Williams et al., <xref ref-type="bibr" rid="B261">2007</xref>) possibly resulting in growth (Shelton et al., <xref ref-type="bibr" rid="B218">2014</xref>) or reduction in inactivation (Garzio-Hadzick et al., <xref ref-type="bibr" rid="B78">2010</xref>). In most fresh and marine waters, metabolic activity rapidly declines after release from feces, which may result from insufficient carbon source or absence of host factors (Thorn et al., <xref ref-type="bibr" rid="B241">2011</xref>; Li et al., <xref ref-type="bibr" rid="B140">2014</xref>). Knowledge of the physiological state of <italic>E. coli</italic> is particularly important, as inactive cells (stationary phase), possess greater resistance to environmental stresses such as acidity and anoxia, thereby increasing the probability of survival (Cheville et al., <xref ref-type="bibr" rid="B43">1996</xref>; Saby et al., <xref ref-type="bibr" rid="B209">1999</xref>). Experimental evidence shows that in the log phase, <italic>E. coli</italic> O157:H7 was more vulnerable to biocides and environmental stress (Arnold and Kaspar, <xref ref-type="bibr" rid="B9">1995</xref>); however, if the environment is suitable for growth, this facilitates rapid resource exploitation and proliferation. Current evidence suggests that <italic>E. coli</italic> O157:H7 enters a stationary phase after detachment from intestinal margins in ruminants (Poulsen et al., <xref ref-type="bibr" rid="B188">1995</xref>). Subsequently, the bacterium leaves its host in the stationary phase, increasing its chances of survival in the environment. <italic>E. coli</italic> from cattle feces was shown to be in the VBNC state prior to any environmental exposure (Wu et al., <xref ref-type="bibr" rid="B266">2009b</xref>), suggesting a large fraction of the fecal indicator population may be recalcitrant but non-culturable in agricultural sources when enumerated by conventional microbiological plate counting.</p>
</sec>
<sec>
<title>Viable but non-culturable (VBNC) state of fecal indicators and pathogens</title>
<p>VBNC bacteria are defined as cells that are in a state of low metabolic activity, and are therefore viable, but are unable to be cultivated on solid selective microbiological culture media; however, under favorable conditions, VBNC cells may resuscitate and regain the ability to grow on microbiological media. The VBNC state is therefore an important methodological limitation, thus preventing the representative enumeration of bacterial abundance in the environment and clinical settings by microbiological plate count analysis (Oliver, <xref ref-type="bibr" rid="B168">2010</xref>). Under sub-optimal conditions such as starvation, salinity, electron acceptor conditions, temperature or pH bacteria enter a &#x0201C;dormant&#x0201D; state. Return of optimal conditions may result in resuscitation (Oliver, <xref ref-type="bibr" rid="B167">2005</xref>). Therefore, standard water quality monitoring surveys do not adequately represent this sub-population of fecally associated VBNC bacteria/pathogens within the water. Recently, studies have examined VBNC FIOs in sediments and biofilms. These environments tend to be deficient in a growth limiting electron acceptor or nutrient and therefore facilitate a greater proportion of VBNC bacteria than expected in free floating systems (Bryers, <xref ref-type="bibr" rid="B28">2000</xref>; Amel et al., <xref ref-type="bibr" rid="B6">2008</xref>; Lieleg and Ribbeck, <xref ref-type="bibr" rid="B141">2011</xref>). For example, greater numbers of <italic>E. coli</italic> and <italic>Salmonella</italic> have been isolated from sediments by molecular methods, than recorded by culturing techniques, indicating that these bacteria could enter the VBNC state in sediments (Amel et al., <xref ref-type="bibr" rid="B6">2008</xref>; Berthe et al., <xref ref-type="bibr" rid="B22">2008</xref>; Luna et al., <xref ref-type="bibr" rid="B147">2010</xref>). In addition, dissolved nucleic acids are more readily extracted than particulate forms which could represent a bias for enumeration (Paul et al., <xref ref-type="bibr" rid="B180">1991</xref>). <italic>Vibrio</italic> spp. are frequently used as model organisms for VBNC studies and enter and recover from the VBNC state under a variety of different stimuli (see: Oliver and Bockian, <xref ref-type="bibr" rid="B169">1995</xref>; Oliver et al., <xref ref-type="bibr" rid="B170">1995</xref>; Amel et al., <xref ref-type="bibr" rid="B6">2008</xref>; Li et al., <xref ref-type="bibr" rid="B140">2014</xref>; Pinto et al., <xref ref-type="bibr" rid="B186">2015</xref> for different stimuli). In contrast, studies on sediments are sparse, for example, Amel et al. (<xref ref-type="bibr" rid="B6">2008</xref>) found that <italic>V. fluvialis</italic> entered the VBNC state in sediments and could be resuscitated even after 1 year. Fukushima and Seki (<xref ref-type="bibr" rid="B76">2004</xref>) and Randa et al. (<xref ref-type="bibr" rid="B195">2004</xref>) challenge the VBNC notion by suggesting that extremely low abundance of suspended <italic>V. vulnificus</italic> and <italic>V. parahaemolyticus</italic> in winter months is due to the sediment acting as a microbial reservoir, as opposed to the bacteria entering VNBC. Further, Fukushima and Seki (<xref ref-type="bibr" rid="B76">2004</xref>) highlight that the proliferation of <italic>Vibrio</italic> spp. after a water temperature increase is due to the replication and release of the daughter cells in the sediment or biofilm rather than the resuscitation of cells from the VBNC state in the water column. Lee et al. (<xref ref-type="bibr" rid="B134">2007</xref>) found that drinking water pipe material composition was critical in governing the relative proportion of VBNC and culturable bacteria. However, further research is required on methods to enumerate the numbers of fecally associated bacteria entering the VBNC state in sediments (Amel et al., <xref ref-type="bibr" rid="B6">2008</xref>). Delineating resuscitation from growth remains a significant challenge for the use of direct approaches (Ayrapetyan et al., <xref ref-type="bibr" rid="B16">2014a</xref>; Ramamurthy et al., <xref ref-type="bibr" rid="B194">2014</xref>, Table <xref ref-type="table" rid="T4">4</xref>). Physiochemical factors governing induction to and resuscitation from VBNC in biofilms requires further attention, particularly on methodologies to sample VBNC bacteria in sediments/biofilms non-destructively.</p>
<table-wrap position="float" id="T4">
<label>Table 4</label>
<caption><p><bold>Comparison of methods to enumerate viable but non-culturable (VBNC) bacteria&#x02013;suitability for sediment</bold>.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Technique</bold></th>
<th valign="top" align="left"><bold>Direct or indirect</bold></th>
<th valign="top" align="left"><bold>Method aim and calculation required</bold></th>
<th valign="top" align="left"><bold>Advantages</bold></th>
<th valign="top" align="left"><bold>Disadvantages</bold></th>
<th valign="top" align="left"><bold>Suitable for sediment?</bold></th>
<th valign="top" align="left"><bold>References</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Nalidixic acid</td>
<td valign="top" align="left">Indirect</td>
<td valign="top" align="left">Nalidixic acid is bacteriostatic and inhibits cell division at low concentrations.</td>
<td valign="top" align="left">Allows differentiation of dividing viable cells from non-dividing VBNC cells.</td>
<td valign="top" align="left">&#x0201C;Resuscitated&#x0201D; cells would subsequently be inhibited by Nalidixic acid as they start to grow.</td>
<td valign="top" align="left">No</td>
<td valign="top" align="left">Ohtomo and Saito, <xref ref-type="bibr" rid="B166">2001</xref></td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">Need to run in conjunction with direct counts to ensure total counts do not change.</td>
<td/>
<td valign="top" align="left">Some bacteria are Nalidixic acid-resistant.</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left"><bold>VBNC &#x0003D; (live-un-elongated cells under Nalidixic acid treatment)</bold></td>
<td/>
<td valign="top" align="left">&#x0201C;Injured&#x0201D; cells may only grow on non-selective media, difficult on sediment samples.</td>
<td/>
<td/>
</tr>
<tr style="border-top: thin solid #000000;">
<td valign="top" align="left"><italic>Bac</italic>Light&#x02122;</td>
<td valign="top" align="left">Indirect</td>
<td valign="top" align="left">Uses two dyes (SYTO9 and Propidium iodide) to stain live cells green and dead cells red. Cells are counted under the microscope.</td>
<td valign="top" align="left">Membrane integrity is one of the most conservative estimators of viability. Can result in overestimation of viability and VBNC fraction.</td>
<td valign="top" align="left">Step for disaggregation from sediment required.</td>
<td valign="top" align="left">No</td>
<td valign="top" align="left">Hassard et al., <xref ref-type="bibr" rid="B101">2014</xref></td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">Assumes that dead cells have disrupted membranes.</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">Cells may form clusters and be difficult to count.</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left"><bold>VBNC &#x0003D; (live &#x02013; culturable)</bold></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr style="border-top: thin solid #000000;">
<td valign="top" align="left">Fluorescent in-situ hybridisation (FISH) and peptide nucleic acid FISH (PNA-FISH).</td>
<td valign="top" align="left">Indirect</td>
<td valign="top" align="left">Oligonucleotide probes hybridise to target DNA/RNA and fluoresce under the microscope.</td>
<td valign="top" align="left">Relatively straight-forward technique. PNA probes have a superior binding capability than traditional FISH probes.</td>
<td valign="top" align="left">Need to find a species/strain-specific nucleotide probe.</td>
<td valign="top" align="left">No</td>
<td valign="top" align="left">Halpern et al., <xref ref-type="bibr" rid="B98">2007</xref>; Malic et al., <xref ref-type="bibr" rid="B150">2009</xref></td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">Reliant on microscope quantification</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left"><bold>VBNC &#x0003D; (FISH positive &#x02013; culturable)</bold>.</td>
<td/>
<td valign="top" align="left">Cells may form clusters and be difficult to count.</td>
<td/>
<td/>
</tr>
<tr style="border-top: thin solid #000000;">
<td valign="top" align="left">Immunomagnetic separation</td>
<td valign="top" align="left">Indirect</td>
<td valign="top" align="left">Antibodies for a specific species or strain are coated onto magnetic beads.</td>
<td valign="top" align="left">Not a standalone method for VBNC detection, Immunomagnetic separation can be used to isolate the organism of choice from environmental samples in conjunction with a quantification method.</td>
<td valign="top" align="left">Not 100% specific</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Gwyther et al., <xref ref-type="bibr" rid="B95">2013</xref></td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">A magnet is used to pull the bacteria-linked beads from an environmental sample.</td>
<td/>
<td valign="top" align="left">Step for disaggregation from sediment is required.</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">Adds an extra step into the analysis time.</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td/>
<td/>
<td valign="top" align="left">Relatively straight-forward technique.</td>
<td valign="top" align="left">Quantification method required.</td>
<td/>
<td/>
</tr>
<tr style="border-top: thin solid #000000;">
<td valign="top" align="left">Flow cytometry (FCM)</td>
<td valign="top" align="left">Indirect</td>
<td valign="top" align="left">Cells are labeled with nucleic acid stains e.g., <italic>Bac</italic>Light&#x02122;. The flow cytometer sorts each cell individually, based on fluorescence backscatter which is used to determine abundance of live and dead cells.</td>
<td valign="top" align="left">FCM can distinguish between reproductively viable, metabolically active, intact and permeabilized cells.</td>
<td valign="top" align="left">Requires pure cultures or the quantification of entire populations.</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Wallner et al., <xref ref-type="bibr" rid="B252">1995</xref>; Khan et al., <xref ref-type="bibr" rid="B124">2010</xref></td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">Assumes that dead cells have disrupted membranes.</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">Rapid <italic>in-situ</italic> analysis of single cells.</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left"><bold>VBNC &#x0003D; (live &#x02013; culturable)</bold></td>
<td/>
<td valign="top" align="left">Difficult to distinguish between bacteria and phages if using environmental samples due to overlap of distributions and signal noise.</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">FCM-FISH has been applied with limited success.</td>
<td/>
<td/>
</tr>
<tr style="border-top: thin solid #000000;">
<td valign="top" align="left">Propidium monoazide&#x02014;quantitative PCR (PMA-qPCR)</td>
<td valign="top" align="left">Indirect</td>
<td valign="top" align="left">PMA binds to DNA in membrane-compromised cells, preventing DNA replication during PCR.</td>
<td valign="top" align="left">Can target specific species/strain of bacteria.</td>
<td valign="top" align="left">PMA-qPCR does not in itself distinguish VBNC cells, but enumerates the number gene equivalents from the bacteria with intact membranes.</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Nocker et al., <xref ref-type="bibr" rid="B162">2007</xref>; Gin and Goh, <xref ref-type="bibr" rid="B86">2013</xref></td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">&#x00394;CTrefers to the difference in qPCR threshold cycles CT between total bacteria and live bacteria</td>
<td valign="top" align="left">qPCR is quantitative.</td>
<td valign="top" align="left">Detachment from sediments and particulate matter required as a pretreatment.</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left"><bold>VBNC &#x0003D; (PMA negative gene equivalents &#x02013; culturable)</bold>.</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr style="border-top: thin solid #000000;">
<td valign="top" align="left">Ethidium monoazide&#x02014;loop mediated isothermal amplification (EMA-LAMP).</td>
<td valign="top" align="left">Indirect</td>
<td valign="top" align="left">EMA binds to DNA in membrane-compromised cells, preventing DNA replication.</td>
<td valign="top" align="left">Can target specific species/strain of bacteria.</td>
<td valign="top" align="left">Similar limitations as PMA-qPCR</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Wang et al., <xref ref-type="bibr" rid="B256">2012</xref>,</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td valign="top" align="left">LAMP is quicker than PCR.</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left"><bold>VBNC &#x0003D; (EMA negative gene equivalents &#x02013; culturable)</bold>.</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr style="border-top: thin solid #000000;">
<td valign="top" align="left">Reverse transcription-quantitative polymerase chain reaction (RT-qPCR).</td>
<td valign="top" align="left">Indirect</td>
<td valign="top" align="left">Quantitative PCR method used to detect expression levels of RNA e.g. <italic>rpoS</italic> gene mRNA.</td>
<td valign="top" align="left">Targets RNA expression, which is a proxy for activity in bacteria.</td>
<td valign="top" align="left">Environmental matrices, particularly sediment, may contain PCR inhibitors which restrict applicability.</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Yaron and Matthews, <xref ref-type="bibr" rid="B268">2002</xref>; Quilliam et al., <xref ref-type="bibr" rid="B192">2011b</xref>; Wingender and Flemming, <xref ref-type="bibr" rid="B264">2011</xref></td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td valign="top" align="left">Can detect target genes active in VBNC bacteria and compare to levels in culturable bacteria referenced against housekeeping genes.</td>
<td valign="top" align="left">Difficult to extract RNA. Requires suitable sampling regime and storage.</td>
<td/>
<td/>
</tr>
<tr style="border-top: thin solid #000000;">
<td valign="top" align="left">Autoinducers (AI) /resuscitation promotion factors (RPF).</td>
<td valign="top" align="left">Direct</td>
<td valign="top" align="left">Synthetic or biologically produced autoinducer 2 (AI2) or RPF to measure culturability of exposed and unexposed population.</td>
<td valign="top" align="left">Quantifies VBNC bacteria using the same quantification methodology as &#x02018;culturable&#x02019; bacteria therefore a representative comparison.</td>
<td valign="top" align="left">Difficult to distinguish VBNC from additional growth due to autoinducer/RPF.</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Bari et al., <xref ref-type="bibr" rid="B20">2013</xref>; Ayrapetyan et al., <xref ref-type="bibr" rid="B16">2014a</xref></td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">Additional nutrients/cofactors may be required.</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left"><bold>VBNC &#x0003D; (AI or RPF culturable)- (normal culturable)</bold>.</td>
<td valign="top" align="left">Species specific or broad spectrum RPF can be used depending on requirements.</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">Often species specific.</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">Theoretical distinction between resuscitation and growth based on growth rates.</td>
<td/>
<td/>
</tr>
<tr style="border-top: thin solid #000000;">
<td valign="top" align="left">Pre-rRNA analysis molecular viability testing.</td>
<td valign="top" align="left">Indirect</td>
<td valign="top" align="left">Detects innate synthetic activity of rRNA precursors.</td>
<td valign="top" align="left">Greater fraction of RNA pool than mRNA so easier to detect.</td>
<td valign="top" align="left">Possibility for false negatives lack of detection &#x0003D; VBNC cells.</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Cangelosi et al., <xref ref-type="bibr" rid="B34">2010</xref>,</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">Requires a measure of abundance of species of interest.</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">Direct indicator of growth as pre-rRNAs only formed in growing cells. In dormant cells pre-rRNA levels decline.</td>
<td valign="top" align="left">Species specific or constitutive precursors can be selected based on required resolution.</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">After nutrient stimulation there is a ratiometric increase in abundance of pre-rRNA from viable cells but not non-viable cells.</td>
<td valign="top" align="left">Can be used to separate resuscitation from growth, as response time is quicker than that of growth rate of bacteria.</td>
<td valign="top" align="left">Requires nutrients to stimulate response.</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">Reliant on RT-qPCR for detection so similar limitations at quantification step.</td>
<td/>
<td/>
</tr>
<tr style="border-top: thin solid #000000;">
<td valign="top" align="left">Dilution to extinction&#x02014;resuscitation potential</td>
<td valign="top" align="left">Direct</td>
<td valign="top" align="left">VBNC bacteria can be distinguished from growth by a serial dilution method. Cells are subjected to a log dilution series below 1 CFU/ml of culturable cells. These diluted cells are cultured, if growth is determined then bacteria have resuscitated from VBNC.</td>
<td valign="top" align="left">Quantitative, utilises the same methodology to determine VBNC as culturable counts therefore directly comparable.</td>
<td valign="top" align="left">Dilution could inhibit quorum sensing based resuscitation.</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Zhang et al., <xref ref-type="bibr" rid="B271">2015</xref></td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left"><bold>VBNC &#x0003D; Resuscitated counts &#x02013; culturable counts</bold></td>
<td/>
<td/>
<td/>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>Bold indicates the factors used to calculate VBNC</italic>.</p>
</table-wrap-foot>
</table-wrap>
<p>Indirect approaches such as microscopy combined with live/dead staining, taxon-specific fluorescent <italic>in situ</italic> hybridization (FISH) and qPCR have all been utilized for measurement of VBNC bacteria in environmental samples by comparing &#x0201C;total&#x0201D; or &#x0201C;live&#x0201D; bacteria with &#x0201C;culturable counts&#x0201D; (Table <xref ref-type="table" rid="T4">4</xref>). Indirect methods for VBNC quantification bacteria in environmental water samples are also not appropriate for sediments due to the 3D nature of the matrix, extracellular polymers and blocking of incident light for methods such as <italic>Bac</italic>Light&#x02122; staining. Direct methods (utilizing microbiological plate counts) such as the application of resuscitation promotion factors (e.g., autoinducers) have been shown experimentally to be useful for measuring the total bacterial population including the VBNC fraction in water but have yet to be applied to sediment (Atkinson and Williams, <xref ref-type="bibr" rid="B13">2009</xref>; Bari et al., <xref ref-type="bibr" rid="B20">2013</xref>; Ayrapetyan et al., <xref ref-type="bibr" rid="B16">2014a</xref>). The principal issue for these approaches is delineating resuscitation of existing bacteria from growth of daughter bacteria (Ayrapetyan et al., <xref ref-type="bibr" rid="B17">2014b</xref>) and this problem remains with sediment. The phenotypic changes that occur in the VNBC state can be assessed using reverse transcription quantitative PCR (RT-qPCR; Table <xref ref-type="table" rid="T4">4</xref>) as alterations to membrane lipid composition, fluidity and a rearrangement of the outer membrane composition have been reported previously (Scherber et al., <xref ref-type="bibr" rid="B211">2009</xref>). Membrane changes in response to stress are modulated via the osmosensor protein EnvZ, which is sensitive to changes in external solute concentration. This cascade is potentially regulated by MzrA, and upregulation increases outer membrane proteins such as <italic>ompW</italic> (Asakura et al., <xref ref-type="bibr" rid="B12">2008</xref>; Darcan et al., <xref ref-type="bibr" rid="B55">2009</xref>). The porin protein encoded by <italic>ompW</italic> gene is known to be upregulated by extremes of pH (Wu et al., <xref ref-type="bibr" rid="B265">2009a</xref>), whilst <italic>E. coli</italic> osmoregulation proteins OmpC/F production are regulated by changes to solute concentration. This is an important survival strategy for coastal and transitional zones, such as estuaries (Rozen and Belkin, <xref ref-type="bibr" rid="B207">2001</xref>). The analysis of pre-ribosomal RNA (pre-rRNA) has received interest recently (Cangelosi et al., <xref ref-type="bibr" rid="B34">2010</xref>). Reported advantages include greater relative abundance of pre-rRNA compared to messenger RNA (mRNA) so response is quicker, which subsequently allows separation of resuscitation from growth (Table <xref ref-type="table" rid="T4">4</xref>). The method relies on the ratiometric increase in pre-rRNA levels in bacteria subject to a nutrient-based resuscitation compared to a control in the absence of nutrients; this provides a dormant to non-dormant ratio (Cangelosi et al., <xref ref-type="bibr" rid="B34">2010</xref>). It is still unclear if this approach is valid for sediments.</p>
<p>Viable but non-culturable <italic>Pseudomonas</italic> spp. exhibited a reduction in nutrient transport, respiration rates and macromolecular synthesis compared to culturable equivalents; however these VBNC cells can still actively divide at a reduced rate (Peneau et al., <xref ref-type="bibr" rid="B182">2007</xref>). Adhesion to the external surface of zooplankton also stimulates fecal enterococci to enter a VBNC state (Signoretto et al., <xref ref-type="bibr" rid="B220">2004</xref>) and this may form a vital part of the transmission pathway (Cellini et al., <xref ref-type="bibr" rid="B40">2005</xref>). Favorable growth conditions and an ideal stoichiometric ratio of carbon to inorganic elements enables recovery from VBNC state, although the resuscitation rate is highly variable depending on species and conditions studied (Arana et al., <xref ref-type="bibr" rid="B8">2007</xref>; Bari et al., <xref ref-type="bibr" rid="B20">2013</xref>; Ayrapetyan et al., <xref ref-type="bibr" rid="B16">2014a</xref>) and may take days to occur (Scherber et al., <xref ref-type="bibr" rid="B211">2009</xref>). Reversion to a culturable state probably involves a resuscitation-promoting or anti-dormancy factor which can cleave peptidoglycan, altering the mechanical properties of the cell wall to facilitate cell division or release lysis products that function as anti-dormancy signals (Ward et al., <xref ref-type="bibr" rid="B257">2006</xref>). Whether VBNC cells are capable of causing infection is poorly understood, and is dependent on the reactivation time, external conditions and if additional vectors/cofactors are required or involved prior to infection. Research into <italic>Salmonella</italic> has indicated that newly formed VBNC cells do not mount a strong infection response (Passerat et al., <xref ref-type="bibr" rid="B179">2009</xref>) possibly due to lack of suitable resuscitation factors. The resuscitation window is defined as the time or amount of stress a VBNC bacteria can undergo and still resuscitate. If conditions remain unfavorable, then VBNC bacteria go beyond the period where resuscitation can occur, and are considered injured, but may still be viable. Finally, eventual death may occur (Pinto et al., <xref ref-type="bibr" rid="B186">2015</xref>; Figure <xref ref-type="fig" rid="F1">1</xref>). Zhang et al. (<xref ref-type="bibr" rid="B271">2015</xref>) utilized a method known as dilution to extinction (Table <xref ref-type="table" rid="T4">4</xref>) and showed that <italic>E. coli</italic> had significant resuscitation potential after UV treatment, suggesting that routine disinfection induces the VBNC state as opposed to cell death in bacteria. Whether bacterial FIOs and pathogens have &#x0201C;resuscitation potential&#x0201D; which could represent a risk to public health or water quality requires further attention.</p>
<p>The potential for bacteria to enter the VBNC state suggests that sediments may be a greater store of fecally-derived bacteria than previously quantified. Sediments and biofilms provide distinct gradients of nutrients, electron acceptors and pH, whilst protecting from some environmental stressors, such as shear and light (Bryers, <xref ref-type="bibr" rid="B28">2000</xref>). Additional methodological improvements are required to reliably quantify VBNC bacteria in sediment. Gene targets which are expressed and specific to the VBNC response can be used in combination with RT-qPCR quantification, providing a useful approach for VBNC analysis in sediment. This is because probes may be species/strain-specific and are based on the production of messenger RNA (mRNA) or pre-rRNA molecules which are short-lived and can provide high resolution information on temporal gene expression (Yaron and Matthews, <xref ref-type="bibr" rid="B268">2002</xref>; Cangelosi et al., <xref ref-type="bibr" rid="B34">2010</xref>). However, the low extraction efficiency of RNA and downstream qPCR inhibition which is a particular challenge in sediment needs to be overcome (Miura et al., <xref ref-type="bibr" rid="B157">2011</xref>; Carreira et al., <xref ref-type="bibr" rid="B38">2015</xref>).</p>
</sec>
</sec>
</sec>
<sec id="s4">
<title>Fate and behavior of fecally derived viruses in sediments</title>
<p>There has been considerable attention attributed to the fate and transport of viruses in environmental matrixes, such as soil, groundwater and surface water (Schijven and Hassanizadeh, <xref ref-type="bibr" rid="B212">2000</xref>; John and Rose, <xref ref-type="bibr" rid="B119">2005</xref>; Sen and Khilar, <xref ref-type="bibr" rid="B215">2006</xref>). The main factors affecting viral adsorption and persistence in porous media include the type of virus and media, temperature, pH, ionic strength and the presence of organic matter (Jin and Flury, <xref ref-type="bibr" rid="B118">2002</xref>). The dominant mechanisms are well-understood in porous media, however, little information is available on their importance in sediment. Enteric viruses readily adsorb to many types of sediment with reported adsorption rates of between 37 and 100% (Carlson et al., <xref ref-type="bibr" rid="B36">1968</xref>; Gerba et al., <xref ref-type="bibr" rid="B84">1977b</xref>; LaBelle and Gerba, <xref ref-type="bibr" rid="B132">1979</xref>; Gerba et al., <xref ref-type="bibr" rid="B80">1980</xref>; Bitton et al., <xref ref-type="bibr" rid="B24">1982</xref>; Tsai et al., <xref ref-type="bibr" rid="B243">1983</xref>; Johnson et al., <xref ref-type="bibr" rid="B120">1984</xref>). The high adsorption levels in estuarine and marine sediment (Table <xref ref-type="table" rid="T5">5</xref>) may be attributed to the high organic content and hydrophobicity of the sediment particles (Chrysikopoulos and Syngouna, <xref ref-type="bibr" rid="B46">2012</xref>). Other factors shown to influence viral adsorption to porous media may have limited impact in sediment due to the production of conditioning films. However, the physico-chemical properties of viral particles and water may play a role in viral adsorption-desorption kinetics in sediment. For instance, Bitton et al. (<xref ref-type="bibr" rid="B24">1982</xref>) found complete adsorption (100%) of poliovirus to marine sediment compared to lower adsorption to freshwater sediment (37&#x02013;45%). LaBelle and Gerba (<xref ref-type="bibr" rid="B132">1979</xref>) showed that increased salinity and decreased pH enhance the desorption (5&#x02013;10%) of echovirus from estuarine sediment, whereas the desorption of other enteric viruses (rotavirus, poliovirus, and coxsachieviruses) was not affected by those changes. Carlson et al. (<xref ref-type="bibr" rid="B36">1968</xref>) found that the presence of bivalent cations in solution enhanced viral adsorption to clay, whereas albumin promoted desorption. These results imply that enteric viruses may desorb from sediment when conditions change, for example to heavy rainfalls or tidal changes.</p>
<table-wrap position="float" id="T5">
<label>Table 5</label>
<caption><p><bold>Fecally-derived virus adsorption to sediment</bold>.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Virus type</bold></th>
<th valign="top" align="left"><bold>Sediment type</bold></th>
<th valign="top" align="center"><bold>Adsorption (%)</bold></th>
<th valign="top" align="left"><bold>References</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Poliovirus 1</td>
<td valign="top" align="left">Marine (99.7% sand, 0.3% clay)</td>
<td valign="top" align="center">99%</td>
<td valign="top" align="left">Bitton et al., <xref ref-type="bibr" rid="B24">1982</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Marine, organic muck</td>
<td valign="top" align="center">100%</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Estuarine (20.7% sand, 24.88% clay, 54.4% silt, 3.8% organic matter)</td>
<td valign="top" align="center">&#x0007E;100</td>
<td valign="top" align="left">LaBelle and Gerba, <xref ref-type="bibr" rid="B133">1980</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Estuarine</td>
<td valign="top" align="center">99.9</td>
<td valign="top" align="left">Gerba et al., <xref ref-type="bibr" rid="B80">1980</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Estuarine (mud and sand)</td>
<td valign="top" align="center">99.2&#x02013;99.98</td>
<td valign="top" align="left">Gerba et al., <xref ref-type="bibr" rid="B84">1977b</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Estuarine (99% sand, 1% silt)</td>
<td valign="top" align="center">93.4</td>
<td valign="top" align="left">Johnson et al., <xref ref-type="bibr" rid="B120">1984</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Estuarine (52.3% sand, 30.3% silt, 17.4% clay)</td>
<td valign="top" align="center">99.8</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Estuarine (89.3% sand, 6% silt, 4.6% clay)</td>
<td valign="top" align="center">98.3</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Estuarine (37.3% sand, 39.2% silt, 23.5% clay)</td>
<td valign="top" align="center">99.9</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Estuarine (10.1% sand, 48.2% silt, 41.7% clay)</td>
<td valign="top" align="center">&#x0003E;95</td>
<td valign="top" align="left">Tsai et al., <xref ref-type="bibr" rid="B243">1983</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Estuarine (79.2% sand, 11.8% silt, 9.1% clay)</td>
<td valign="top" align="center">&#x0003E;95</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Freshwater (99.6% sand, 0.4% clay)</td>
<td valign="top" align="center">37%</td>
<td valign="top" align="left">Bitton et al., <xref ref-type="bibr" rid="B24">1982</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Freshwater (99.7% sand, 0.3% clay)</td>
<td valign="top" align="center">45%</td>
<td/>
</tr>
<tr style="border-top: thin solid #000000;">
<td valign="top" align="left">Coxsackievirus B1</td>
<td valign="top" align="left">Estuarine (99% sand, 1% silt</td>
<td valign="top" align="center">64.6</td>
<td valign="top" align="left">Johnson et al., <xref ref-type="bibr" rid="B120">1984</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Estuarine (52.3% sand, 30.3% silt, 17.4% clay)</td>
<td valign="top" align="center">98.4</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Estuarine (89.3% sand, 6% silt, 4.6% clay)</td>
<td valign="top" align="center">98.6</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Estuarine (37.3% sand, 39.2% silt, 23.5% clay)</td>
<td valign="top" align="center">99.0</td>
<td/>
</tr>
<tr style="border-top: thin solid #000000;">
<td valign="top" align="left">Coxsackievirus B3</td>
<td valign="top" align="left">Estuarine (20.7% sand, 24.88% clay, 54.4% silt, 3.8% organic matter)</td>
<td valign="top" align="center">100</td>
<td valign="top" align="left">LaBelle and Gerba, <xref ref-type="bibr" rid="B133">1980</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Estuarine</td>
<td valign="top" align="center">99.8</td>
<td valign="top" align="left">Gerba et al., <xref ref-type="bibr" rid="B80">1980</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Estuarine (10.1% sand, 48.2% silt, 41.7% clay)</td>
<td valign="top" align="center">&#x0003E;95</td>
<td valign="top" align="left">Tsai et al., <xref ref-type="bibr" rid="B243">1983</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Estuarine (79.2% sand, 11.8% silt, 9.1% clay)</td>
<td valign="top" align="center">&#x0003E;95</td>
<td/>
</tr>
<tr style="border-top: thin solid #000000;">
<td valign="top" align="left">Coxsackievirus B4</td>
<td valign="top" align="left">Estuarine</td>
<td valign="top" align="center">95</td>
<td valign="top" align="left">Gerba et al., <xref ref-type="bibr" rid="B80">1980</xref></td>
</tr>
<tr>
<td valign="top" align="left">Echovirus 1</td>
<td valign="top" align="left">Estuarine (20.7% sand, 24.88% clay, 54.4% silt, 3.8% organic matter)</td>
<td valign="top" align="center">90</td>
<td valign="top" align="left">LaBelle and Gerba, <xref ref-type="bibr" rid="B133">1980</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Estuarine</td>
<td valign="top" align="center">87.0&#x02013;99.99</td>
<td valign="top" align="left">Gerba et al., <xref ref-type="bibr" rid="B80">1980</xref></td>
</tr>
<tr style="border-top: thin solid #000000;">
<td valign="top" align="left">Echovirus 7</td>
<td valign="top" align="left">Estuarine</td>
<td valign="top" align="center">&#x0003E;99.99</td>
<td/>
</tr>
<tr style="border-top: thin solid #000000;">
<td valign="top" align="left">Echovirus 29</td>
<td valign="top" align="left">Estuarine</td>
<td valign="top" align="center">&#x0003E;99.99</td>
<td/>
</tr>
<tr style="border-top: thin solid #000000;">
<td valign="top" align="left">Echovirus 11</td>
<td valign="top" align="left">Estuarine (99% sand, 1% silt</td>
<td valign="top" align="center">66.6</td>
<td valign="top" align="left">Johnson et al., <xref ref-type="bibr" rid="B120">1984</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Estuarine (52.3% sand, 30.3% silt, 17.4% clay)</td>
<td valign="top" align="center">98.9</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Estuarine (89.3% sand, 6% silt, 4.6% clay)</td>
<td valign="top" align="center">99.0</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Estuarine (37.3% sand, 39.2% silt, 23.5% clay)</td>
<td valign="top" align="center">99.5</td>
<td/>
</tr>
</tbody>
</table>
</table-wrap>
<p>Gerba et al. (<xref ref-type="bibr" rid="B80">1980</xref>) observed species/strain specific differences in viral adsorption to sediment, suggesting that capsid properties may play an important role in adhesion. The physico-chemical characteristics of viral particles, e.g., pI, hydrophobicity and capsid structures have been shown to play an important role in the adsorption of viruses to porous media. Dowd et al. (<xref ref-type="bibr" rid="B61">1998</xref>) highlighted the influence of viral pI on the adsorption rate of viruses, where a smaller pI (3.9&#x02013;5.3) showed more adsorption than a larger pI (6.6&#x02013;7.7) despite examined viruses being of similar sizes. Farkas et al. (<xref ref-type="bibr" rid="B68">2015</xref>) observed that the adsorption of rotavirus viral surrogates with similar size and pI adsorbed differently to hydrophobic media. Further differences were found in the adsorption of viral surrogates with similar size, zeta potential and hydrophobicity to porous media, suggesting that the composition of viral capsid also affects viral adhesion (Pang et al., <xref ref-type="bibr" rid="B177">2014</xref>; Farkas et al., <xref ref-type="bibr" rid="B68">2015</xref>). Further, Samandoulgou et al. (<xref ref-type="bibr" rid="B210">2015</xref>) found that extremes of pH and temperature can change the mechanism of norovirus association with sediment from electrostatic to predominantly hydrophobic, as loss of ordered molecular structure in the protein head results in an increase in hydrophobic attachment sites resulting in greater adsorption of norovirus. Hydrophobic interactions of proteins are enhanced by high salinity thus viral attachment/detachment kinetics in estuarine environments may change rapidly.</p>
<p>From a public health perspective, the inactivation of enteric viruses in sediment is also important. However, most studies focus on the presence/absence and concentration of enteric viruses in sediment and little is known about the inactivation and degradation of viral particles. Viruses in the water column are inactivated at a faster rate than in sediments (Smith et al., <xref ref-type="bibr" rid="B226">1978</xref>; LaBelle and Gerba, <xref ref-type="bibr" rid="B133">1980</xref>; Liew and Gerba, <xref ref-type="bibr" rid="B142">1980</xref>; Rao et al., <xref ref-type="bibr" rid="B197">1986b</xref>), indicating that sediments confer protection for viruses from degradation. The persistence of viruses is largely dependent on sediment and virus type. For instance, coxsachievirus degradation ranged from 0.2 to 2.5 log in three types of sediment in 20 days, whereas poliovirus and echovirus degraded by 0.5&#x02013;4 log and 2&#x02013;4 log, respectively (Table <xref ref-type="table" rid="T6">6</xref>). As in water, microbial activity enhances the degradation of enteric viruses in the sediment, whereas small changes in temperature and salinity have little effect on inactivation. Inactivating substances, such as enzymes, may also adsorb to particles and thus have no effect on viral degradation (Gerba and Schaiberger, <xref ref-type="bibr" rid="B83">1975</xref>). Interestingly, virus inactivation increased in polluted water even in the absence of microorganisms (LaBelle and Gerba, <xref ref-type="bibr" rid="B133">1980</xref>) probably due to reaction with humics in water. Viral adsorption to sediment particles has also been shown to increase viral thermostability, possibly explaining the recalcitrant nature of enteric viruses in sediments (Liew and Gerba, <xref ref-type="bibr" rid="B142">1980</xref>).</p>
<table-wrap position="float" id="T6">
<label>Table 6</label>
<caption><p><bold>Persistence of Fecally-derived viruses in coastal and estuarine sediments</bold>.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Viral strain</bold></th>
<th valign="top" align="left"><bold>Habitat</bold></th>
<th valign="top" align="left"><bold>Temp (&#x000B0;C)</bold></th>
<th valign="top" align="left"><bold>Salinity (PSU)<xref ref-type="table-fn" rid="TN6"><sup>a</sup></xref></bold></th>
<th valign="top" align="left"><bold>Initial inoculation</bold></th>
<th valign="top" align="left"><bold>Reduction</bold></th>
<th valign="top" align="left"><bold>References</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Coxsackievirus B3 Nancy</td>
<td valign="top" align="left">Estuarine sediment (mud, shell) and seawater</td>
<td/>
<td/>
<td valign="top" align="left">&#x0007E;7 log10 PFU 100 ml<sup>&#x02212;1</sup></td>
<td valign="top" align="left">&#x0007E;3.8 log in 20 days</td>
<td valign="top" align="left">Smith et al., <xref ref-type="bibr" rid="B226">1978</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Estuarine sediment (sand) and seawater</td>
<td/>
<td/>
<td valign="top" align="left">&#x0007E;7 log10 PFU 100 ml<sup>&#x02212;1</sup></td>
<td valign="top" align="left">&#x0007E;4 log in 20 days</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Estuarine sediment (mud, sand) and seawater</td>
<td/>
<td/>
<td valign="top" align="left">&#x0007E;7 log10 PFU 100 ml<sup>&#x02212;1</sup></td>
<td valign="top" align="left">&#x0007E;2.7 log in 20 days</td>
<td/>
</tr>
<tr style="border-top: thin solid #000000;">
<td valign="top" align="left">Echovirus 1 Ferouk</td>
<td valign="top" align="left">Estuarine sediment (sand) and seawater</td>
<td valign="top" align="left">30</td>
<td valign="top" align="left">25</td>
<td valign="top" align="left">&#x0007E;7 log10 PFU 100 ml<sup>&#x02212;1</sup></td>
<td valign="top" align="left">&#x0007E;4 log in 10 days</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Estuarine sediment (mud, shell) and seawater</td>
<td/>
<td/>
<td valign="top" align="left">&#x0007E;7 log10 PFU 100 ml<sup>&#x02212;1</sup></td>
<td valign="top" align="left">&#x0007E;4 log in 18 days</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Estuarine sediment and seawater</td>
<td/>
<td/>
<td valign="top" align="left">7-8 log10 PFU 100 ml<sup>&#x02212;1</sup></td>
<td valign="top" align="left">&#x0007E;1 log in 6 days</td>
<td valign="top" align="left">LaBelle and Gerba, <xref ref-type="bibr" rid="B133">1980</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Estuarine sediment (mud, sand) and seawater</td>
<td/>
<td/>
<td valign="top" align="left">&#x0007E;7 log10 PFU 100 ml<sup>&#x02212;1</sup></td>
<td valign="top" align="left">&#x0007E;1.5 log in 20 days</td>
<td valign="top" align="left">Smith et al., <xref ref-type="bibr" rid="B226">1978</xref></td>
</tr>
<tr style="border-top: thin solid #000000;">
<td valign="top" align="left">Poliovirus 1 LSc</td>
<td valign="top" align="left">Estuarine sediment (mud, shell) and seawater</td>
<td/>
<td/>
<td valign="top" align="left">&#x0007E;7 log10 PFU 100 ml<sup>&#x02212;1</sup></td>
<td valign="top" align="left">&#x0007E;4 log in 14 days</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Estuarine sediment (mud, sand) and seawater</td>
<td valign="top" align="left">31</td>
<td/>
<td valign="top" align="left">&#x0007E;7 log10 PFU 100 ml<sup>&#x02212;1</sup></td>
<td valign="top" align="left">&#x0007E;4 log in 18 days</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Estuarine sediment (sand) and seawater</td>
<td/>
<td valign="top" align="left">25</td>
<td valign="top" align="left">&#x0007E;7 log10 PFU 100 ml<sup>&#x02212;1</sup></td>
<td valign="top" align="left">&#x0007E;4 log in 7 days</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Estuarine sediment and seawater</td>
<td valign="top" align="left">31</td>
<td valign="top" align="left">30</td>
<td valign="top" align="left">7&#x02013;8 log10 PFU 100 ml<sup>&#x02212;1</sup></td>
<td valign="top" align="left">&#x0007E;2.5 log in 7 days</td>
<td valign="top" align="left">LaBelle and Gerba, <xref ref-type="bibr" rid="B133">1980</xref></td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">33</td>
<td valign="top" align="left">26</td>
<td valign="top" align="left">7&#x02013;8 log10 PFU 100 ml<sup>&#x02212;1</sup></td>
<td valign="top" align="left">&#x0007E; 3.3 log in 6 days</td>
<td/>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">33</td>
<td valign="top" align="left">27</td>
<td valign="top" align="left">7&#x02013;8 log10 PFU 100 ml<sup>&#x02212;1</sup></td>
<td valign="top" align="left">&#x0007E;2.8 log in 6 days</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Estuarine sediment and artificial seawater</td>
<td valign="top" align="left">4</td>
<td/>
<td valign="top" align="left">&#x0007E;6 log10 PFU 100 ml<sup>&#x02212;1</sup></td>
<td valign="top" align="left">Stable for 33 days<sup>b</sup></td>
<td valign="top" align="left">Liew and Gerba, <xref ref-type="bibr" rid="B142">1980</xref></td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">24</td>
<td/>
<td valign="top" align="left">&#x0007E;6 log10 PFU 100 ml<sup>&#x02212;1</sup></td>
<td valign="top" align="left">&#x0007E;3 log10 over 33 days</td>
<td/>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">37</td>
<td/>
<td valign="top" align="left">&#x0007E;6 log10 PFU 100 ml<sup>&#x02212;1</sup></td>
<td valign="top" align="left">&#x0007E;2 log in 4 days</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Estuarine sediment and seawater</td>
<td valign="top" align="left">20&#x02013;25</td>
<td valign="top" align="left">2&#x02013;20</td>
<td valign="top" align="left">7.8 log10 PFU 100 ml<sup>&#x02212;1</sup></td>
<td valign="top" align="left">7.3 log in 19 days</td>
<td valign="top" align="left">Rao et al., <xref ref-type="bibr" rid="B198">1984</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Estuarine suspended solids and seawater</td>
<td valign="top" align="left">20&#x02013;25</td>
<td valign="top" align="left">2&#x02013;20</td>
<td valign="top" align="left">7.5 log10 PFU 100 ml<sup>&#x02212;1</sup></td>
<td valign="top" align="left">5.8 log in 19 days</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Estuarine &#x0201C;fluffy&#x0201D; sediments and seawater</td>
<td valign="top" align="left">20&#x02013;25</td>
<td valign="top" align="left">2&#x02013;20</td>
<td valign="top" align="left">7.6 log10 PFU 100 ml<sup>&#x02212;1</sup></td>
<td valign="top" align="left">6.5 log in 19 days</td>
<td/>
</tr>
<tr style="border-top: thin solid #000000;">
<td valign="top" align="left">Simian Rotavirus SA11</td>
<td valign="top" align="left">Estuarine sediment and seawater</td>
<td valign="top" align="left">20&#x02013;25</td>
<td valign="top" align="left">2&#x02013;20</td>
<td valign="top" align="left">7.7 log10 PFU 100 ml<sup>&#x02212;1</sup></td>
<td valign="top" align="left">4.7 log in 19 days</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Estuarine suspended solids and seawater</td>
<td valign="top" align="left">20&#x02013;25</td>
<td valign="top" align="left">2&#x02013;20</td>
<td valign="top" align="left">7.9 log10 PFU 100 ml<sup>&#x02212;1</sup></td>
<td valign="top" align="left">3.9 log in 19 days</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Estuarine &#x0201C;fluffy&#x0201D; sediments and seawater</td>
<td valign="top" align="left">20&#x02013;25</td>
<td valign="top" align="left">2&#x02013;20</td>
<td valign="top" align="left">7.6 log10 PFU 100 ml<sup>&#x02212;1</sup></td>
<td valign="top" align="left">5.6 log in 19 days</td>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TN6">
<label>a</label>
<p><italic>Salinity assumed PSU &#x0003D; %0</italic>.</p></fn>
<p><italic>&#x0007E;Prefix represents viral abundance estimated from graphs</italic>.</p>
</table-wrap-foot>
</table-wrap>
<p>Viruses may reversibly attach and detach from sediment and re-enter the water column or the sediment-associated viral particles may be transported from polluted to non-polluted waters. Hence, viruses entering the water body from sediment may increase the public health risk. Furthermore, due to water turbulence the viral particles attached to less dense sediment may be easily resuspended. Rao et al. (<xref ref-type="bibr" rid="B197">1986b</xref>) implied that solid-associated rotavirus may be transported &#x0003E;5 km (&#x02265;3 miles) in estuarine water. Furthermore, sediment-associated viruses may be taken up by shellfish or crustacea that are destined for human consumption. Despite the risks of viral presence in sediment being well-recognized, little is known about the fate of viruses in sediment, and especially the factors which may affect viral adsorption and inactivation <italic>in situ</italic> e.g., sunlight, chemical contamination and organic matter. This is pertinent when considering the impact of sediment/particle association on the suitability of using viruses as regulatory indicators for drinking waters and bathing/shellfish water quality (Bosch et al., <xref ref-type="bibr" rid="B27">2008</xref>).</p>
<sec>
<title>Methods for the enumeration of fecally derived viruses from sediments</title>
<p>The identification and quantification of enteric viruses in the environment is challenging mainly due to the lack of reliable methods for accurate quantification and the difficulty in eluting viruses from sediment. The most frequently used methods for quantification of enteric viruses in environmental studies are tissue culture, electron microscopy (EM), enzyme-linked immunosorbent assay (ELISA), flow cytometry and qPCR or RT-qPCR (Weinbauer, <xref ref-type="bibr" rid="B259">2004</xref>; Duhamel and Jacquet, <xref ref-type="bibr" rid="B64">2006</xref>).</p>
<p>Traditional tissue culture approaches involve incubation of virus-containing samples with suitable host cell lines that allow viral replication. The cytopathic effects (host cell damage) can be observed under the light microscope (Dulbecco, <xref ref-type="bibr" rid="B65">1952</xref>; Moce-Llivina et al., <xref ref-type="bibr" rid="B158">2004</xref>). For viruses which do not lyse host cells, a focus-forming assay is used which involves the use of fluorescent antibodies that bind to viral antigens allowing the detection of clusters of infected cells (foci) by fluorescent microscopy (Payne et al., <xref ref-type="bibr" rid="B181">2006</xref>). Nonetheless, culture-based assays can take weeks to perform (Storch, <xref ref-type="bibr" rid="B236">2000</xref>) and often underestimate the number of viruses due to viral aggregation; however, as loss of infectivity is permanent, this provides a useful estimate of infectivity decay rates (Charles et al., <xref ref-type="bibr" rid="B42">2009</xref>). Furthermore, some enteric viruses such as human noroviruses and sapoviruses cannot be maintained <italic>in vitro</italic>, hence they cannot be quantified by culture. Intact virus particles after incubation with an appropriate dye can be visualized using EM, however this approach cannot reliably distinguish between viral strains or infectious from non-infectious viral particles (Dancho et al., <xref ref-type="bibr" rid="B53">2012</xref>). Tissue culture and EM both require expensive equipment and skilled staff, hence are rarely applied for routine examinations. However, early studies investigating the recovery of enteric viruses from sediment usually applied tissue culture for viral enumeration. In order to detect and quantify sediment-associated viruses using tissue culture or EM, viral particles are eluted from sediment and re-concentrated to reduce sample volume. As shown in Table <xref ref-type="table" rid="T7">7A</xref>, the usefulness of different approaches has been evaluated, and recoveries exhibited high variations depending on methodology and sediment/virus type. The best recoveries (&#x0003E;60%) were achieved with the use of casein or beef extract solution as an eluent, followed by polyethylene glycol (PEG) precipitation (Johnson et al., <xref ref-type="bibr" rid="B120">1984</xref>; Lewis et al., <xref ref-type="bibr" rid="B138">1985</xref>).</p>
<table-wrap position="float" id="T7">
<label>Table 7</label>
<caption><p><bold>Enteric virus recoveries from sediment</bold>.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Target virus</bold></th>
<th valign="top" align="left"><bold>Sediment</bold></th>
<th valign="top" align="left"><bold>Elution</bold></th>
<th valign="top" align="left"><bold>Concentration</bold></th>
<th valign="top" align="left"><bold>Quantitation</bold></th>
<th valign="top" align="left"><bold>Mean recovery or range</bold></th>
<th valign="top" align="left"><bold>References</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="7" style="background-color:#bbbdc0"><bold>A INDIRECT EXTRACTION: VIRUS ELUTION&#x02014;CONCENTRATION</bold></td>
</tr>
<tr>
<td valign="top" align="left">Poliovirus 1</td>
<td valign="top" align="left">Marine 500 g</td>
<td valign="top" align="left">0.25 M glycine, 0.05 M EDTA, pH 11</td>
<td valign="top" align="left">0.06 M AlCl<sub>3</sub>, pH 3.5</td>
<td valign="top" align="left">Culturing</td>
<td valign="top" align="left">50%</td>
<td valign="top" align="left">Gerba et al., <xref ref-type="bibr" rid="B84">1977b</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Marine 10 g</td>
<td valign="top" align="left">6% beef extract, pH 9</td>
<td valign="top" align="left">8% PEG6000</td>
<td valign="top" align="left">Culturing</td>
<td valign="top" align="left">6.3&#x02013;55.8%</td>
<td valign="top" align="left">Lewis et al., <xref ref-type="bibr" rid="B138">1985</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Marine 10 g</td>
<td valign="top" align="left">4 M urea, 0.05 M lysine, pH 9</td>
<td valign="top" align="left">0.005 M AlCl<sub>3</sub>, pH 7</td>
<td valign="top" align="left">Culturing</td>
<td valign="top" align="left">22%</td>
<td valign="top" align="left">Bitton et al., <xref ref-type="bibr" rid="B24">1982</xref></td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">3% beef extract</td>
<td valign="top" align="left">pH 3.5&#x02013;4.5</td>
<td/>
<td valign="top" align="left">8%</td>
<td/>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">1% purified casein</td>
<td valign="top" align="left">pH 3.5&#x02013;4.5</td>
<td/>
<td valign="top" align="left">14%</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Estuarine, sewage contaminated 10 g</td>
<td valign="top" align="left">0.25 M glycine</td>
<td valign="top" align="left">None</td>
<td valign="top" align="left">Culturing</td>
<td valign="top" align="left">2.2&#x02013;3.5%</td>
<td valign="top" align="left">Tsai et al., <xref ref-type="bibr" rid="B243">1983</xref></td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">0.5% skimmed milk</td>
<td/>
<td/>
<td valign="top" align="left">0.5&#x02013;2.7%</td>
<td/>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">0.5% isoelectric casein</td>
<td/>
<td/>
<td valign="top" align="left">58.8%</td>
<td/>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">3&#x02013;10% beef extract (paste)</td>
<td/>
<td/>
<td valign="top" align="left">4.0&#x02013;9.3%</td>
<td/>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">3&#x02013;10% beef extract (powder)</td>
<td/>
<td/>
<td valign="top" align="left">32.7&#x02013;40.0%</td>
<td/>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">4% nutrient broth</td>
<td/>
<td/>
<td valign="top" align="left">40&#x02013;53%</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Estuarine 10&#x02013;50 mL</td>
<td valign="top" align="left">3% beef extract, 2 M NaNO<sub>3</sub>, pH 5.5</td>
<td valign="top" align="left">2 M (NH<sub>4</sub>)<sub>2</sub>SO<sub>4</sub>, 0.01 Cat-Floc T pH 3.5</td>
<td valign="top" align="left">Culturing</td>
<td valign="top" align="left">39&#x02013;44%</td>
<td valign="top" align="left">Wait and Sobsey, <xref ref-type="bibr" rid="B251">1983</xref></td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">3% beef extract, 0.25 M glycine, pH 10.50.25 M glycine, 0.05 M EDTA, pH 11</td>
<td valign="top" align="left">0.06 M AlCl<sub>3</sub>, pH 3.5</td>
<td/>
<td valign="top" align="left">9.7&#x02013;18%0&#x02013;0.1%</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Freshwater10 g</td>
<td valign="top" align="left">6% beef extract, pH 9</td>
<td valign="top" align="left">8% PEG6000</td>
<td valign="top" align="left">Culturing</td>
<td valign="top" align="left">15.8&#x02013;76.8%</td>
<td valign="top" align="left">Lewis et al., <xref ref-type="bibr" rid="B138">1985</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Freshwater4 types with different sand/silt / clay ratio</td>
<td valign="top" align="left">4% nutrient broth, pH 7.5</td>
<td valign="top" align="left">None</td>
<td valign="top" align="left">Culturing</td>
<td valign="top" align="left">5.3&#x02013;10.4%</td>
<td valign="top" align="left">Johnson et al., <xref ref-type="bibr" rid="B120">1984</xref></td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">4% nutrient broth, pH 9</td>
<td/>
<td/>
<td valign="top" align="left">2.0&#x02013;32.5%</td>
<td/>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">5% beef extract, pH 9</td>
<td/>
<td/>
<td valign="top" align="left">0.6&#x02013;48.9%</td>
<td/>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">0.5% isoelectric casein, pH9</td>
<td/>
<td/>
<td valign="top" align="left">0.3&#x02013;65.3%</td>
<td/>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">0.5% isoelectric casein, 1% crude lecithin, pH9</td>
<td/>
<td/>
<td valign="top" align="left">7.0&#x02013;38.6%</td>
<td/>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">0.5% isoelectric casein, 3% crude lecithin, pH9</td>
<td/>
<td/>
<td valign="top" align="left">1.0&#x02013;25.4%</td>
<td/>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">0.5% isoelectric casein, 1% semi-purified lecithin, pH9</td>
<td/>
<td/>
<td valign="top" align="left">0.3&#x02013;47.9%</td>
<td/>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">0.5% isoelectric casein, 3% semi-purified lecithin, pH9</td>
<td/>
<td/>
<td valign="top" align="left">2.6&#x02013;75.1%</td>
<td/>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">0.5% isoelectric casein, 1% egg lecithin, pH9</td>
<td/>
<td/>
<td valign="top" align="left">0.3&#x02013;56.4%</td>
<td/>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">0.5% isoelectric casein, 3% egg lecithin, pH9</td>
<td/>
<td/>
<td valign="top" align="left">0.6&#x02013;102.6%</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Silty freshwater 5 g</td>
<td valign="top" align="left">0.25 M glycine-NaOH, 0.05 M EDTA</td>
<td valign="top" align="left">0.06 M AlCl<sub>3</sub>, pH 3.5</td>
<td valign="top" align="left">qRT-PCR</td>
<td valign="top" align="left">1.8%</td>
<td valign="top" align="left">Miura et al., <xref ref-type="bibr" rid="B157">2011</xref></td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">0.25 M glycine-NaOH, 0.05 M EDTA</td>
<td valign="top" align="left">0.1 M MgCl2</td>
<td/>
<td valign="top" align="left">5.4%</td>
<td/>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">0.1% Laureth-12, 0.01 M Tris, 1 mM EDTA, 0.015% Antifoam Y-30, pH 7.2</td>
<td valign="top" align="left">0.1 M MgCl2</td>
<td/>
<td valign="top" align="left">0.61%</td>
<td/>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">0.25 M glycine-NaOH, 0.05 M EDTA</td>
<td valign="top" align="left">16% PEG6000, 4.7% NaCl</td>
<td/>
<td valign="top" align="left">0%</td>
<td/>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">0.1% Laureth-12, 0.01 M Tris, 1 mM EDTA, 0.015% Antifoam Y-30, pH 7.2</td>
<td valign="top" align="left">16% PEG6000, 4.7% NaCl</td>
<td/>
<td valign="top" align="left">0.18%</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Sandy freshwater10 g</td>
<td valign="top" align="left">4 M urea, 0.05 M lysine, pH 9</td>
<td valign="top" align="left">0.005 M AlCl<sub>3</sub>, pH 7</td>
<td valign="top" align="left">Culturing</td>
<td valign="top" align="left">39%</td>
<td valign="top" align="left">Bitton et al., <xref ref-type="bibr" rid="B24">1982</xref></td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">3% beef extract, pH 9</td>
<td valign="top" align="left">pH 3.5&#x02013;4.5</td>
<td/>
<td valign="top" align="left">51%</td>
<td/>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">1% purified casein, 0.1% Tween 80</td>
<td valign="top" align="left">pH 3.5&#x02013;4.5</td>
<td/>
<td valign="top" align="left">59%</td>
<td/>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">1 M trychloroacetate, 1 M glycine</td>
<td valign="top" align="left">pH 3.5&#x02013;4.5</td>
<td/>
<td valign="top" align="left">23%</td>
<td/>
</tr>
<tr style="border-top: thin solid #000000;">
<td valign="top" align="left">Coxsachievirus B1</td>
<td valign="top" align="left">Freshwater4 types with different sand/silt/ clay ratio</td>
<td valign="top" align="left">0.5% isoelectric casein, 1% crude lecithin, pH9</td>
<td valign="top" align="left">None</td>
<td valign="top" align="left">Culturing</td>
<td valign="top" align="left">12.6&#x02013;37.8%</td>
<td valign="top" align="left">Johnson et al., <xref ref-type="bibr" rid="B120">1984</xref></td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">0.5% isoelectric casein, 3% crude lecithin, pH9</td>
<td/>
<td/>
<td valign="top" align="left">21.8&#x02013;80.9%</td>
<td/>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">0.5% isoelectric casein, 1% semi-purified lecithin, pH9</td>
<td/>
<td/>
<td valign="top" align="left">48.4&#x02013;61.6%</td>
<td/>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">0.5% isoelectric casein, 3% semi-purified lecithin, pH9</td>
<td/>
<td/>
<td valign="top" align="left">54.4&#x02013;91.5%</td>
<td/>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">0.5% isoelectric casein, 1% egg lecithin, pH9</td>
<td/>
<td/>
<td valign="top" align="left">38.6&#x02013;69.0%</td>
<td/>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">0.5% isoelectric casein, 3% egg lecithin, pH9</td>
<td/>
<td/>
<td valign="top" align="left">41.9&#x02013;73.4%</td>
<td/>
</tr>
<tr style="border-top: thin solid #000000;">
<td valign="top" align="left">Coxsachievirus B3</td>
<td valign="top" align="left">Estuarine, sewage contaminated 10 g</td>
<td valign="top" align="left">0.25 M glycine</td>
<td valign="top" align="left">None</td>
<td valign="top" align="left">Culturing</td>
<td valign="top" align="left">4.3&#x02013;7.7%</td>
<td valign="top" align="left">Tsai et al., <xref ref-type="bibr" rid="B243">1983</xref></td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">0.5% skim milk</td>
<td/>
<td/>
<td valign="top" align="left">8.3&#x02013;9.2%</td>
<td/>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">0.5% isoelectric casein</td>
<td/>
<td/>
<td valign="top" align="left">18.9%</td>
<td/>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">3&#x02013;10% beef extract (powder)</td>
<td/>
<td/>
<td valign="top" align="left">13.0&#x02013;29.0%</td>
<td/>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">4% nutrient broth</td>
<td/>
<td/>
<td valign="top" align="left">15.4&#x02013;25.9%</td>
<td/>
</tr>
<tr style="border-top: thin solid #000000;">
<td valign="top" align="left">Echovirus 1</td>
<td valign="top" align="left">Estuarine 10&#x02013;50 mL</td>
<td valign="top" align="left">3% beef extract, 2 M NaNO<sub>3</sub>, pH 5.5</td>
<td valign="top" align="left">2 M (NH<sub>4</sub>)<sub>2</sub>SO<sub>4</sub>, 0.01 Cat-Floc T</td>
<td valign="top" align="left">Culturing</td>
<td valign="top" align="left">16&#x02013;43%</td>
<td valign="top" align="left">Wait and Sobsey, <xref ref-type="bibr" rid="B251">1983</xref></td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">3% beef extract, 0.25 M glycine, pH 10.5</td>
<td valign="top" align="left">pH 3.5</td>
<td/>
<td valign="top" align="left">2.6&#x02013;4.4%</td>
<td/>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">0.25 M glycine, 0.05 M EDTA, pH 11</td>
<td valign="top" align="left">0.06 M AlCl<sub>3</sub>, pH 3.5</td>
<td/>
<td valign="top" align="left">0.1&#x02013;0.5%</td>
<td/>
</tr>
<tr style="border-top: thin solid #000000;">
<td valign="top" align="left">Echovirus 11</td>
<td valign="top" align="left">Freshwater4 types with different sand/silt/ clay ratio</td>
<td valign="top" align="left">0.5% isoelectric casein, 1% crude lecithin, pH9</td>
<td valign="top" align="left">None</td>
<td valign="top" align="left">Culturing</td>
<td valign="top" align="left">5.6&#x02013;42.4%</td>
<td valign="top" align="left">Johnson et al., <xref ref-type="bibr" rid="B120">1984</xref></td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">0.5% isoelectric casein, 3% crude lecithin, pH9</td>
<td/>
<td/>
<td valign="top" align="left">33.2&#x02013;94.7%</td>
<td/>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">0.5% isoelectric casein, 1% semi-purified lecithin, pH9</td>
<td/>
<td/>
<td valign="top" align="left">31.6&#x02013;81.9%</td>
<td/>
</tr>
<tr style="border-top: thin solid #000000;">
<td/>
<td/>
<td valign="top" align="left">0.5% isoelectric casein, 3% semi-purified lecithin, pH9</td>
<td/>
<td/>
<td valign="top" align="left">56.8&#x02013;78.5%</td>
<td/>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">0.5% isoelectric casein, 1% egg lecithin, pH9</td>
<td/>
<td/>
<td valign="top" align="left">66.7&#x02013;138.4%</td>
<td/>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">0.5% isoelectric casein, 3% egg lecithin, pH9</td>
<td/>
<td/>
<td valign="top" align="left">43.3&#x02013;50.4%</td>
<td/>
</tr>
<tr style="border-top: thin solid #000000;">
<td valign="top" align="left">Hepatitis A virus</td>
<td valign="top" align="left">Freshwater</td>
<td valign="top" align="left">3% beef extract, 2 M NaNO<sub>3</sub>, pH 5.5</td>
<td valign="top" align="left">15% PEG6000</td>
<td valign="top" align="left">Culturing</td>
<td valign="top" align="left">70%</td>
<td valign="top" align="left">Lewis and Metcalf, <xref ref-type="bibr" rid="B139">1988</xref></td>
</tr>
<tr>
<td valign="top" align="left">Simian rotavirus 11</td>
<td valign="top" align="left">Estuarine10&#x02013;50 mL</td>
<td valign="top" align="left">3% beef extract, 2 M NaNO<sub>3</sub>, pH 5.5</td>
<td valign="top" align="left">2 M (NH<sub>4</sub>)<sub>2</sub>SO<sub>4</sub>, 0.01 Cat-Floc T</td>
<td valign="top" align="left">Culturing</td>
<td valign="top" align="left">23%</td>
<td valign="top" align="left">Wait and Sobsey, <xref ref-type="bibr" rid="B251">1983</xref></td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">3% beef extract, 0.25 M glycine, pH 10.5</td>
<td valign="top" align="left">pH 3.5</td>
<td/>
<td valign="top" align="left">0%</td>
<td/>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">0.25 M glycine, 0.05 M EDTA, pH 11</td>
<td valign="top" align="left">0.06 M AlCl<sub>3</sub>, pH 3.5</td>
<td/>
<td valign="top" align="left">0%</td>
<td/>
</tr>
<tr style="border-top: thin solid #000000;">
<td valign="top" align="left">Rotavirus WA</td>
<td valign="top" align="left">Freshwater</td>
<td valign="top" align="left">3% beef extract, 2 M NaNO<sub>3</sub>, pH 5.5</td>
<td valign="top" align="left">15% PEG6000</td>
<td valign="top" align="left">Culturing</td>
<td valign="top" align="left">70%</td>
<td valign="top" align="left">Lewis and Metcalf, <xref ref-type="bibr" rid="B139">1988</xref></td>
</tr>
<tr style="border-top: thin solid #000000;">
<td valign="top" align="left"><bold>Target virus</bold></td>
<td valign="top" align="left"><bold>Sediment</bold></td>
<td valign="top" align="left"><bold>Lysis</bold></td>
<td valign="top" align="left"><bold>Extraction/concentration</bold></td>
<td valign="top" align="left"><bold>Purification</bold></td>
<td valign="top" align="left"><bold>Mean recovery or range</bold></td>
<td valign="top" align="left"><bold>References</bold></td>
</tr>
<tr style="border-top: thin solid #000000;">
<td valign="top" align="left" colspan="7" style="background-color:#bbbdc0"><bold>B DIRECT EXTRACTION OF VIRAL NUCLEIC ACIDS FOLLOWED BY QRT-PCR</bold></td>
</tr>
<tr>
<td valign="top" align="left">Poliovirus 1</td>
<td valign="top" align="left">Silty freshwater 5 g</td>
<td valign="top" align="left">0.5 N Tris (pH 8), 0.1 M NaCl, 2% SDS, 8 mg skim milk/g sediment</td>
<td valign="top" align="left">Phenol:chloroform:isoamyl alcohol &#x0002B; isopropanol precipitation</td>
<td valign="top" align="left">DEAE cellulose column</td>
<td valign="top" align="left">0.09%</td>
<td valign="top" align="left">Miura et al., <xref ref-type="bibr" rid="B157">2011</xref></td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">0.5N Tris (pH 8), 0.1 M NaCl, 2% SDS, 8 mg skim milk/g sediment</td>
<td valign="top" align="left">Phenol:chloroform:isoamyl alcohol &#x0002B; isopropanol precipitation</td>
<td valign="top" align="left">Oligo(dT) labeled magnetic beads</td>
<td valign="top" align="left">0.77%</td>
<td/>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">0.1 M EDTA, 0.5 N Tris (pH 8), 0.1 M NaCl, 2% SDS, 8 mg skim milk/g sediment</td>
<td valign="top" align="left">Phenol:chloroform:isoamyl alcohol &#x0002B; isopropanol precipitation</td>
<td valign="top" align="left">Oligo(dT) labeled magnetic beads</td>
<td valign="top" align="left">11%</td>
<td/>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">TRIzol reagent</td>
<td valign="top" align="left">Centrifugation</td>
<td valign="top" align="left">Oligo(dT) labeled magnetic beads</td>
<td valign="top" align="left">0.10%</td>
<td/>
</tr>
</tbody>
</table>
</table-wrap>
<p>The ELISA approach involves binding of viral antigens to specific antibodies that are subsequently quantified by adding an enzymatic substrate that produces color changes when bound. This technique has been applied in environmental studies (Fu et al., <xref ref-type="bibr" rid="B75">1989</xref>; Park et al., <xref ref-type="bibr" rid="B178">2010</xref>), and results correlate well with tissue culture findings (Nasser et al., <xref ref-type="bibr" rid="B160">1995</xref>). For many enteric viruses, commercial ELISA kits are available allowing rapid detection, however, the assay may detect degraded viral capsid along with infectious particles. The usefulness of ELISA for sediment samples has not been investigated. The most frequently used methods for viral enumeration are qPCR and RT-qPCR which quantify a small segment of the viral genome of DNA and RNA viruses, respectively. These assays are rapid, sensitive, suitable for all virus types, and can be selective for individual strains (Girones et al., <xref ref-type="bibr" rid="B87">2010</xref>). However standard PCR approaches do not provide any information on the integrity and infectivity of the target virus. When (RT-)qPCR is used, the elution of viral particles is not necessary as nucleic acids can be extracted directly from sediment. Recoveries of viral RNA from sediments range from 0.09 to 11% for direct extraction and RT-qPCR, with improved extraction efficiency when applying indirect elution-concentration approaches (Table <xref ref-type="table" rid="T7">7</xref>). There are numerous reports of inhibition of PCR assays by organic matter (e.g., humic acids) often found in environmental samples (Meschke and Sobsey, <xref ref-type="bibr" rid="B155">1998</xref>; Rock et al., <xref ref-type="bibr" rid="B203">2010</xref>) and extraction and enumeration methods strongly influence estimates of viral abundance in sediments (Williamson et al., <xref ref-type="bibr" rid="B263">2013</xref>), which can greatly influence attributed risk in pathogenic strains (Petterson et al., <xref ref-type="bibr" rid="B184">2015</xref>). Recently, methods have been applied to overcome this; for example, Carreira et al. (<xref ref-type="bibr" rid="B38">2015</xref>) found that a combination of EDTA in addition to probe sonication and enzymatic pre-treatments resulted in 4.5 fold increase in viral recovery from sediments. Miura et al. (<xref ref-type="bibr" rid="B157">2011</xref>) found that a direct extraction method utilizing SDS, EDTA coupled with phenol-chloroform-isoamyl alcohol resulted in an 11% recovery of poliovirus 1 (Table <xref ref-type="table" rid="T7">7</xref>). Commercial kits for environmental applications are also available and used to extract viral nucleic acids from various matrixes including biosolids (Ikner et al., <xref ref-type="bibr" rid="B113">2012</xref>), however, their efficiency for sediment has not been evaluated. Comparison of viral abundance in sediments (enterovirus 10<sup>2</sup>.g<sup>&#x02212;1</sup>) to the titre which is shed from infected individuals (10<sup>5</sup>&#x02013;10<sup>8</sup>.g<sup>&#x02212;1</sup>) and the high adsorption efficiencies measured in <italic>vitro</italic> (Table <xref ref-type="table" rid="T5">5</xref>) suggests dilution, dispersal, and/or high inactivation in sediments (Melnick and Rennick, <xref ref-type="bibr" rid="B154">1980</xref>; Miura et al., <xref ref-type="bibr" rid="B157">2011</xref>).</p>
<p>Determining viral infectivity is a particular challenge in sediments. Most recently, integrated cell culture (ICC) qPCR/RT-qPCR approaches have been developed (Greening et al., <xref ref-type="bibr" rid="B93">2002</xref>; Fongaro et al., <xref ref-type="bibr" rid="B72">2013</xref>; Ogorzaly et al., <xref ref-type="bibr" rid="B165">2013</xref>). During the assay, cultured viruses are enumerated using qPCR or RT-qPCR, which are more sensitive than microscopy and less affected by viral aggregation. This combined approach allows the accurate quantification of infectious viral particles for strains that can be cultured <italic>in vitro</italic> within days (Ogorzaly et al., <xref ref-type="bibr" rid="B165">2013</xref>). Viral recoveries may be improved by the combination of traditional indirect extraction followed by ICC-RT-qPCR (Fongaro et al., <xref ref-type="bibr" rid="B72">2013</xref>). An initial assessment of direct nucleic acid extraction followed by RT-qPCR may be useful for rapid evaluation. Also sediments are difficult to isolate and purify viruses without leaking other compounds which also affect quantification. Research on both improving viral recoveries and role of sediment on the persistence of human pathogenic viruses in the environment could further inform modeling viral pathogens, environmental epidemiology and improve risk assessment.</p>
</sec>
</sec>
<sec id="s5">
<title>Sediments as a sink/source of fecal bacteria and viruses?</title>
<p>Sediments may accumulate enteric bacteria and viruses and release them back in to the water under specific conditions. Therefore, quantifying the mass balance of fecally derived organisms in an estuary is not a simple task. Inputs of bacteria and viruses will be different for each estuary, depending on the surrounding land use, water use, and hydrological processes such as rainfall and tides. Spatial variation within the estuary itself can also confound the issue (Quilliam et al., <xref ref-type="bibr" rid="B191">2011a</xref>; Perkins et al., <xref ref-type="bibr" rid="B183">2014</xref>), as can the seasonal prevalence of bacteria and viruses (Ishii et al., <xref ref-type="bibr" rid="B114">2006</xref>; He and He, <xref ref-type="bibr" rid="B103">2008</xref>; Siem-Jorgensen et al., <xref ref-type="bibr" rid="B219">2008</xref>). Characterization of individual estuaries is underway (Stapleton et al., <xref ref-type="bibr" rid="B233">2007</xref>; Ouattara et al., <xref ref-type="bibr" rid="B172">2011</xref>; Huang et al., <xref ref-type="bibr" rid="B112">2015</xref>) and data from these surveys are being used in models that monitor the fluxes of FIOs, with the primary aim of predicting beach closures due to poor water quality (Stapleton et al., <xref ref-type="bibr" rid="B233">2007</xref>; He and He, <xref ref-type="bibr" rid="B103">2008</xref>; de Brauwere et al., <xref ref-type="bibr" rid="B57">2014</xref>). The sources of fecally derived bacteria and viruses in the typical mixed estuary include wastewater, agricultural runoff, persistent populations, <italic>in situ</italic> growth and infrequent deposition events such as animal feces. The vast majority of fecally derived inputs from agriculture are due to livestock farming, although run-off from arable farming may also contribute to the bacterial/viral loading (Cox et al., <xref ref-type="bibr" rid="B50">2005</xref>). Understanding viral pathogen persistence in wastewater treatment works and whether these viruses persist in sediments is in its infancy (Miura et al., <xref ref-type="bibr" rid="B157">2011</xref>; Kitajima et al., <xref ref-type="bibr" rid="B128">2014</xref>). In contrast bacterial persistence has been studied in detail. For example, Ouattara et al. (<xref ref-type="bibr" rid="B172">2011</xref>) reported that wastewater inputs of <italic>E. coli</italic> and intestinal enterococci were 35 and 15 times higher, respectively, than non-point source inputs in the Scheldt Estuary. Weather can also impact the relative contributions of agricultural (diffuse) and wastewater (point source) inputs (Stapleton et al., <xref ref-type="bibr" rid="B233">2007</xref>) further complicating the understanding of pathogen behavior.</p>
<sec>
<title>Deposition and retention of fecal bacteria in sediments</title>
<p>Settling and deposition of FIOs and pathogens in sediments is a complex process. Laboratory based estimates of settling velocities are 1.17 and 2.4 m/d for small (0.45&#x02013;10 &#x003BC;m) and large (&#x0003E;10 &#x003BC;m) particles respectively (Auer and Niehaus, <xref ref-type="bibr" rid="B14">1993</xref>). From a modeling perspective, an approximate deposition rate is taken, although reports vary with reported ranges from 2.6 to 25 md<sup>&#x02212;1</sup> (Jamieson, R. et al., 2005). For a review see Pachepsky and Shelton (<xref ref-type="bibr" rid="B174">2011</xref>). The settling rate in the field, however, is likely to be lower than these estimates and vary depending on other factors such as turbulence due to waves, wind and tides (Malham et al., <xref ref-type="bibr" rid="B149">2014</xref>). Jamieson, R. et al. (2005) suggested that high bed shear stress limits the exchange between sediments and water column, although in contrast Drummond et al. (<xref ref-type="bibr" rid="B63">2014a</xref>) found that deposition of both <italic>E. coli</italic> and inert fluorescent beads occur rapidly, with 74% of the <italic>E. coli</italic> in the top 3 cm. Biofilms, vegetation, organic debris and flocs are likely to reduce the deposition and exchange of FIOs and pathogens to the sediment bed (Arnon et al., <xref ref-type="bibr" rid="B10">2010</xref>; Drummond et al., <xref ref-type="bibr" rid="B63">2014a</xref>,<xref ref-type="bibr" rid="B62">b</xref>). Arnon et al. (<xref ref-type="bibr" rid="B10">2010</xref>) found that the greater flow velocity and sediment particle size increases the mass transfer of particulate and soluble tracers to the sediments and biofilm and that particles preferentially deposit in biofilms as opposed to underlying sediment. Soluble matter is subject to advective and diffuse mass transport between the water column and bed, particulate matter including FIOs are subject to transport, sedimentation, and filtration (Ren and Packman, <xref ref-type="bibr" rid="B199">2002</xref>; Arnon et al., <xref ref-type="bibr" rid="B10">2010</xref>). The dynamic exchange between deposition and resuspension has received increased attention recently.</p>
</sec>
<sec>
<title>Release and resuspension of bacteria from sediments</title>
<p>During base flow and in the absence of turbulence, sediment-bound bacteria are unlikely to contribute to the bacterial pathogen abundance in the water column (Pachepsky and Shelton, <xref ref-type="bibr" rid="B174">2011</xref>). Turbulence generated during peak flow results in mixing, an increase in oxygenation, bubble generation, and shear stress, which increases detachment rates from sediment and is dependent on bacterial shape and strain, and biofilm cohesive strength (Gomez-Suarez et al., <xref ref-type="bibr" rid="B89">2001</xref>; Young, <xref ref-type="bibr" rid="B270">2006</xref>; Lemos et al., <xref ref-type="bibr" rid="B137">2014</xref>; Figure <xref ref-type="fig" rid="F1">1D</xref>). The release/resuspension of bacteria from biofilms within sediments is dependent on the combination of physicochemical forcing (Walter et al., <xref ref-type="bibr" rid="B253">2013</xref>) and biotic factors, such as grazing and quorum sensing (Costerton et al., <xref ref-type="bibr" rid="B49">1995</xref>; Kim et al., <xref ref-type="bibr" rid="B126">2016</xref>) which could impact particulate loading to the water column (Figure <xref ref-type="fig" rid="F1">1E</xref>).</p>
<p>The release of <italic>E. coli</italic> from estuarine silts has been linked to rapid decreases in salinity of the water, which can occur in estuarine environments (Weiss, <xref ref-type="bibr" rid="B260">1951</xref>). However, in freshwater systems, the number of <italic>E. coli</italic> released in successive events are limited to the deposited/proliferated bacteria between events (Shelton et al., <xref ref-type="bibr" rid="B218">2014</xref>) and the sediment depth which is subject to scour (Harvey et al., <xref ref-type="bibr" rid="B100">2012</xref>). The bacterial abundance increases in the water column on the rising curve of the storm hydrograph, due to particulate resuspension under periods of high turbulence (Howlett et al., <xref ref-type="bibr" rid="B111">2015</xref>) often with a delay between the peak in riverflow and the peak in bacterial abundance (Jamieson R. C. et al., <xref ref-type="bibr" rid="B115">2005</xref>; Jamieson R. et al., <xref ref-type="bibr" rid="B116">2005</xref>; Henson et al., <xref ref-type="bibr" rid="B107">2007</xref>). Controlled water release from a reservoir to a stream accounted for a 1&#x02013;2 log increase in <italic>E. coli</italic> in the water column, but is dependent on the abundance in the sediment (Drummond et al., <xref ref-type="bibr" rid="B63">2014a</xref>). Similarly, for viruses, desorption of viruses from clay particles can be attributed to reductions in salinity and the addition of organic matter due to rainfall or tides (Gerba and Schaiberger, <xref ref-type="bibr" rid="B83">1975</xref>). In saline environments cations such as Ca<sup>2&#x0002B;</sup> form bridges to stabilize bacteria binding to the sediment and also decreases the electrostatic repulsion during the initial stages of adsorption (van Loosdrecht et al., <xref ref-type="bibr" rid="B247">1989</xref>; de Brouwer et al., <xref ref-type="bibr" rid="B58">2002</xref>; Kierek and Watnick, <xref ref-type="bibr" rid="B125">2003</xref>). The input of freshwater into estuarine systems could reduce the efficacy of these bridges, releasing pathogenic bacteria such as <italic>V. cholerae</italic> from sediment into the water column (Kierek and Watnick, <xref ref-type="bibr" rid="B125">2003</xref>). Guizien et al. (<xref ref-type="bibr" rid="B94">2014</xref>) found that bacterial numbers decreased due to grazing and that viral titre in the water column did not significantly increase due to re-settlement of virus-clay complex, suggesting a complex story governing resuspension of enteric microorganisms. The risk associated with the sediment of enteric microorganisms depends on concentration, the ease with which bacteria resuspend or release back into the water column, and the frequency with which this will occur (Cox et al., <xref ref-type="bibr" rid="B50">2005</xref>). Understanding viral resuspension in the environment is reliant on development of suitable methodology to enumerate viruses with accuracy and precision in a reproducible manner.</p>
</sec>
</sec>
<sec id="s6">
<title>Outlook</title>
<p>Traditional molecular approaches are useful for absolute quantification of target organisms (e.g., <italic>E. coli, Salmonella</italic> spp, <italic>Enterococcus</italic> spp). However, advances in high throughput sequencing (HTS) have been applied to monitor fecal pollution, on a variety of different environmental matrices including wastewater, drinking water, riverine/coastal waters and ground water (Tan et al., <xref ref-type="bibr" rid="B240">2015</xref>). For a more comprehensive review of HTS for assessing water quality see Tan et al. (<xref ref-type="bibr" rid="B240">2015</xref>). Targeted sequencing of 16S rRNA for bacteria and 18S rRNA for eukaryote small sub-unit rRNA permits an estimate of diversity and abundance (Henry et al., <xref ref-type="bibr" rid="B105">2016</xref>), although the resolution of the 18S RNA gene as a phylogenetic marker us variable amongst taxa and is often not suitable for the resolution of FIOs belonging to the enterobacteriaceae for example. However, coupled sequencing and flow cytometry approaches can be used for more accurate taxon quantification (Props et al., <xref ref-type="bibr" rid="B189">2016</xref>), although a different quantitative technology would be required for sediments. Bacterial diversity can be readily established in sediments using HTS; however rare sequences (e.g., pathogens) may evade detection, which is dependent on sequencing depth. Therefore, quantitative methods (e.g., qPCR, RT-qPCR) in sediments, remain a critical approach for inferring quantitative change associated with relative abundance HTS datasets.</p>
<p>Host associated genetic markers from bacterial groups such as <italic>Bacteroidales</italic> have been identified in sediments, which provides useful information for source apportionment (Tan et al., <xref ref-type="bibr" rid="B240">2015</xref>). Genetic fingerprints of 16S rRNA gene or metagenome sequencing can reveal similarities between source (outfall, runoff etc.) and sink (beach sands and sediments) through community analysis (Ervin et al., <xref ref-type="bibr" rid="B66">2014</xref>; Neave et al., <xref ref-type="bibr" rid="B161">2014</xref>). Neave et al. (<xref ref-type="bibr" rid="B161">2014</xref>) confirmed the importance of local pollution sources of fecal species, in determining the fecally derived component of sediment associated microbial communities, which have a significant impact on beach sediment quality (e.g., Vignaroli et al., <xref ref-type="bibr" rid="B249">2013</xref>). Sediments provide natural areas of high microbial density, which is of particular concern considered the elevated persistence and accumulation of antimicrobial resistance (AMR). Port et al. (<xref ref-type="bibr" rid="B187">2014</xref>) estimated the potential for gene transfer and pathogenicity potential from sediment fecal bacteria from pyrosequencing datasets of sediments. This is pertinent for developing suitable baseline AMR/pathogenicity levels used to inform policy makers on fecally derived hazardous microorganisms/pathogens in sediments. The structuring effect of physiochemical variables such as salinity and sediment porosity on bacterial communities is unsurprising (Hamdan et al., <xref ref-type="bibr" rid="B99">2013</xref>); from a pollution perspective, chemical contamination appears to drive bacterial community structure at least at a local level (Staley et al., <xref ref-type="bibr" rid="B232">2014</xref>), although FIOs appear strongly source dependent.</p>
<p>HTS data has provided novel insights into the dynamics of sediment associated enteric viruses (Paez-Espino et al., <xref ref-type="bibr" rid="B176">2016</xref>). Predictions of viral relative abundance and potential pathogenicity genes can be undertaken with HTS of sediments (Yoshida et al., <xref ref-type="bibr" rid="B269">2013</xref>). However, viral enrichment is often required for the detection of pathogenic components of the virome. Concentration through tangential ultraflow filtration has been applied on dispersed sludges. Following this, immunoprecipitation through antibodies, affinity capture has been applied to isolate pathogenic polioviruses, followed by deep HTS (Furtak et al., <xref ref-type="bibr" rid="B77">2016</xref>), although to our knowledge this approach has yet to be applied for sediments. From an environmental quality perspective, understanding the physiochemical drivers governing the mainitence of the abundance and persistence of viruses and bacterial pathogens in sediments is of principal concern for regulators and requires more attention.</p>
</sec>
<sec sec-type="conclusions" id="s7">
<title>Conclusions</title>
<p>It is anticipated that enteric microorganisms in sediments will continue to be of significant interest for the foreseeable future. It is unlikely that environmental legislation will be widened to cover FIOs/pathogens in sediments; however, understanding the fate of enteric and pathogenic viruses in the environment, including sediments, will be important for implementing potential viral standards. The influence of wastewater treatment works on viral abundance and infectivity, VBNC bacteria, and the role of particulate matter and sediments on source/sinks of these organisms is still unclear. Furthermore, a lack of standardized effective methods for enumerating both VBNC and viruses from environmental matrices (including sediments) has hampered research in these areas. Significant headway on applying correction factors for viral extractions using internal standards has shed light on the problem of poor extraction efficacy and inhibition of molecular methods. However, these workaround methods have yet to be applied to sediment and do not address the fundamental quantification problems. Environmental monitoring should now apply a holistic approach using novel technologies such as &#x0201C;lab on chip&#x0201D; and structural integrity methods which may improve on site diagnostics and should include tests for viral infectivity where this is lacking, all of which are currently not applied to sediments. Further studies are also required to close the loop between conventional plate count and qPCR based methods in sediments particularly regarding the role of VBNC bacteria (if any) on bathing water quality and human/environmental health. An improved process-level understanding is required to consider if FIOs and pathogens from different sources (diffuse or point source derived or from human or animal) have different VBNC or resuscitation potentials. Complete life cycle analysis from terrestrial, fluvial and coastal zones is also required to fully understand the role of sediments in viral transport and infectivity persistence in the environment. Studies which model pathogenic viral abundance to observed FIO numbers have been successfully applied to water and applicability in sediments requires increased attention. Finally, increased acquisition of physiochemical data in addition to routine biological samples will improve our understanding of the fate of viruses, VBNCs and FIOs in sediments and enable the development of suitable environmental risk assessment for microbiological risk of sediments to human health. In conclusion, our poor process-level understanding of viral/bacterial-sediment interactions combined with methodological challenges is limiting accurate source apportionment and quantitative microbial risk assessment for pathogenic organisms associated with sediments in aquatic environments.</p>
</sec>
<sec id="s8">
<title>Author contributions</title>
<p>FH, CG, and KF wrote the manuscript and undertook data analysis. AA, VJ, SM, JM, DJ, and BC provided technical support and reviewed the manuscript. FH, SM, KF, JM and DJ prepared manuscript for submission. All authors have approved the final version to be published. All authors had substantial contributions to the conception and design of the work.</p>
<sec>
<title>Conflict of interest statement</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The authors were commissioned and funded by United Kingdom Water Industry Research Limited to carry out a revised version of this research, which was reported as chapter presented within a technical report. The funding agency did not influence the content of this review.</p>
</sec>
</sec>
</body>
<back>
<ack>
<p>This work was funded by the UK Water Industry Research Limited under funding provision WW11 Coastal and Estuarine Bacteria Loads for Source Apportionment. The research was funded via a Natural Environment Research Council consortium grant under the Macronutrient Cycles Research Programme (NE/J011908/1). The authors would like to thank Dr. Peter Daldorph for advise on the manuscript.</p>
</ack>
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<title>Glossary</title>
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<td valign="top" align="left">Culturability</td>
<td valign="top" align="left">The ability of bacteria to form colonies on agar microbiology plates.</td>
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<td valign="top" align="left">Viable but non-culturable</td>
<td valign="top" align="left">Bacteria which can no longer form colonies on agar plates, but are still metabolically active and remain viable.</td>
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<td valign="top" align="left">Viable</td>
<td valign="top" align="left">Refers to all living bacteria</td>
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