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<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.2017.01845</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Microbiology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Benzene and Naphthalene Degrading Bacterial Communities in an Oil Sands Tailings Pond</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Rochman</surname> <given-names>Fauziah F.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/426647/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Sheremet</surname> <given-names>Andriy</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/439482/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Tamas</surname> <given-names>Ivica</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Saidi-Mehrabad</surname> <given-names>Alireza</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/80348/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Kim</surname> <given-names>Joong-Jae</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/478216/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Dong</surname> <given-names>Xiaoli</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/294586/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Sensen</surname> <given-names>Christoph W.</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/205986/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Gieg</surname> <given-names>Lisa M.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/31074/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Dunfield</surname> <given-names>Peter F.</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/21116/overview"/>
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<aff id="aff1"><sup>1</sup><institution>Department of Biological Sciences, University of Calgary</institution>, <addr-line>Calgary, AB</addr-line>, <country>Canada</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Biology and Ecology, Faculty of Sciences, University of Novi Sad</institution>, <addr-line>Novi Sad</addr-line>, <country>Serbia</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Biological Sciences, University of Alberta</institution>, <addr-line>Edmonton, AB</addr-line>, <country>Canada</country></aff>
<aff id="aff4"><sup>4</sup><institution>Department of Biochemistry and Molecular Biology in the Cumming School of Medicine, University of Calgary</institution>, <addr-line>Calgary, AB</addr-line>, <country>Canada</country></aff>
<aff id="aff5"><sup>5</sup><institution>Department of Geoscience, University of Calgary</institution>, <addr-line>Calgary, AB</addr-line>, <country>Canada</country></aff>
<aff id="aff6"><sup>6</sup><institution>Institute of Computational Biotechnology, Graz University of Technology</institution>, <addr-line>Graz</addr-line>, <country>Austria</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Sabine Kleinsteuber, Helmholtz-Zentrum f&#x000FC;r Umweltforschung (UFZ), Germany</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Martina Cappelletti, Universit&#x000E0; di Bologna, Italy; Alberto Scoma, Aarhus University, Denmark</p></fn>
<fn fn-type="corresp" id="fn001"><p>&#x0002A;Correspondence: Peter F. Dunfield <email>pfdunfie&#x00040;ucalgary.ca</email></p></fn>
<fn fn-type="other" id="fn002"><p>This article was submitted to Microbiotechnology, Ecotoxicology and Bioremediation, a section of the journal Frontiers in Microbiology</p></fn></author-notes>
<pub-date pub-type="epub">
<day>28</day>
<month>09</month>
<year>2017</year>
</pub-date>
<pub-date pub-type="collection">
<year>2017</year>
</pub-date>
<volume>8</volume>
<elocation-id>1845</elocation-id>
<history>
<date date-type="received">
<day>09</day>
<month>04</month>
<year>2017</year>
</date>
<date date-type="accepted">
<day>08</day>
<month>09</month>
<year>2017</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2017 Rochman, Sheremet, Tamas, Saidi-Mehrabad, Kim, Dong, Sensen, Gieg and Dunfield.</copyright-statement>
<copyright-year>2017</copyright-year>
<copyright-holder>Rochman, Sheremet, Tamas, Saidi-Mehrabad, Kim, Dong, Sensen, Gieg and Dunfield</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>Oil sands process-affected water (OSPW), produced by surface-mining of oil sands in Canada, is alkaline and contains high concentrations of salts, metals, naphthenic acids, and polycyclic aromatic compounds (PAHs). Residual hydrocarbon biodegradation occurs naturally, but little is known about the hydrocarbon-degrading microbial communities present in OSPW. In this study, aerobic oxidation of benzene and naphthalene in the surface layer of an oil sands tailings pond were measured. The potential oxidation rates were 4.3 &#x003BC;mol L<sup>&#x02212;1</sup> OSPW d<sup>&#x02212;1</sup> for benzene and 21.4 &#x003BC;mol L<sup>&#x02212;1</sup> OSPW d<sup>&#x02212;1</sup> for naphthalene. To identify benzene and naphthalene-degrading microbial communities, metagenomics was combined with stable isotope probing (SIP), high-throughput sequencing of 16S rRNA gene amplicons, and isolation of microbial strains. SIP using <sup>13</sup>C-benzene and <sup>13</sup>C-naphthalene detected strains of the genera <italic>Methyloversatilis</italic> and <italic>Zavarzinia</italic> as the main benzene degraders, while strains belonging to the family <italic>Chromatiaceae</italic> and the genus <italic>Thauera</italic> were the main naphthalene degraders. Metagenomic analysis revealed a diversity of genes encoding oxygenases active against aromatic compounds. Although these genes apparently belonged to many phylogenetically diverse taxa, only a few of these taxa were predominant in the SIP experiments. This suggested that many members of the community are adapted to consuming other aromatic compounds, or are active only under specific conditions. 16S rRNA gene sequence datasets have been submitted to the Sequence Read Archive (SRA) under accession number <ext-link ext-link-type="NCBI:sra" xlink:href="SRP109130">SRP109130</ext-link>. The Gold Study and Project submission ID number in Joint Genome Institute IMG/M for the metagenome is Gs0047444 and Gp0055765.</p></abstract>
<kwd-group>
<kwd>oil sands</kwd>
<kwd>tailings pond</kwd>
<kwd>hydrocarbon degradation</kwd>
<kwd>benzene</kwd>
<kwd>naphthalene</kwd>
<kwd>metagenomics</kwd>
<kwd>stable isotope probing</kwd>
</kwd-group>
<contract-num rid="cn001">GC Grant 1203</contract-num>
<contract-num rid="cn003">CRDPJ478071-14</contract-num>
<contract-sponsor id="cn001">Genome Canada<named-content content-type="fundref-id">10.13039/100008762</named-content></contract-sponsor>
<contract-sponsor id="cn002">Genome British Columbia<named-content content-type="fundref-id">10.13039/501100000233</named-content></contract-sponsor>
<contract-sponsor id="cn003">Natural Sciences and Engineering Research Council of Canada<named-content content-type="fundref-id">10.13039/501100000038</named-content></contract-sponsor>
<counts>
<fig-count count="4"/>
<table-count count="0"/>
<equation-count count="0"/>
<ref-count count="71"/>
<page-count count="12"/>
<word-count count="8532"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>The Athabasca oil sands reserves, located in northern Alberta, Canada, contribute more than 50% of the total crude oil production in Canada (National Energy Board, <xref ref-type="bibr" rid="B43">2015</xref>). It is estimated that bitumen production could reach 5&#x02013;6 million barrels per day by 2050 if demand persists (Rahnama et al., <xref ref-type="bibr" rid="B53">2013</xref>), although the availability of shale oil and alternative fuels may depress this demand. For every cubic meter of bitumen extracted, 4 m<sup>3</sup> of fluid tailings are produced. This consists of oil sands process-affected water (OSPW), sand, clays, residual bitumen and dissolved inorganic and organic compounds (Holowenko et al., <xref ref-type="bibr" rid="B27">2002</xref>; Quagraine et al., <xref ref-type="bibr" rid="B52">2005</xref>). Fluid tailings are deposited into open ponds to allow settling of particles, reuse of surface water for extraction, and long-term pollutant containment for on-site reclamation (Government of Alberta, <xref ref-type="bibr" rid="B22">2009</xref>).</p>
<p>In general, OSPW is alkaline (pH 7.8&#x02013;8) with high contents of salts (2.2 g L<sup>&#x02212;1</sup>), metals, sulfides, naphthenic acids (NAs), and polycyclic aromatic compounds (PAHs) (Quagraine et al., <xref ref-type="bibr" rid="B52">2005</xref>; Kelly et al., <xref ref-type="bibr" rid="B33">2009</xref>, <xref ref-type="bibr" rid="B32">2010</xref>; Saidi-Mehrabad et al., <xref ref-type="bibr" rid="B57">2013</xref>). Some of the organic contaminants are derived from the naphtha (usually a mixture of C<sub>3</sub>&#x02013;C<sub>14</sub> alkanes, BTEX, and iso-paraffins) used as a diluent in processing of bitumen, and others are derived from bitumen (Siddique et al., <xref ref-type="bibr" rid="B62">2007</xref>). The NAs and PAHs are particular compounds of concern (Rogers et al., <xref ref-type="bibr" rid="B55">2002</xref>; Quagraine et al., <xref ref-type="bibr" rid="B52">2005</xref>; Allen, <xref ref-type="bibr" rid="B2">2008</xref>; Wayland et al., <xref ref-type="bibr" rid="B68">2008</xref>; Grewer et al., <xref ref-type="bibr" rid="B23">2010</xref>), and questions have been raised about the potential movement of these compounds from tailings ponds into surrounding environments (Wayland et al., <xref ref-type="bibr" rid="B68">2008</xref>). PAHs and heterocyclic aromatic compounds account for 0.01&#x02013;10 mg kg<sup>&#x02212;1</sup> of fine tails in Alberta tailings ponds (Fine Tailings Fundamentals Consortium (FTFC), <xref ref-type="bibr" rid="B18">1995</xref>; Wayland et al., <xref ref-type="bibr" rid="B68">2008</xref>). Tailings ponds are predominantly anoxic, except for a (roughly 1-m-deep) surface water cap that is partially oxygenated and supports some aerobic microbial activities such as methane oxidation (Saidi-Mehrabad et al., <xref ref-type="bibr" rid="B57">2013</xref>). Previous studies on biodegradation of compounds of concern in tailings ponds have therefore concentrated on anoxic conditions. Relatively little is known about activities in the more oxic surface water (Foght et al., <xref ref-type="bibr" rid="B19">2017</xref>).</p>
<p>The major aerobic degradation pathways for both saturated and aromatic hydrocarbons involve the addition of oxygen atoms in reactions carried out by oxygenase enzymes (Atlas, <xref ref-type="bibr" rid="B8">1981</xref>). Genes encoding dioxygenases, monooxygenases, and extradiol ring-cleavage enzymes were abundant in metagenomes constructed from surface water samples of oil sands tailings ponds (An et al., <xref ref-type="bibr" rid="B7">2013</xref>; Saidi-Mehrabad et al., <xref ref-type="bibr" rid="B57">2013</xref>), showing a diversity of putative hydrocarbon degradation mechanisms. Many of the bacterial genera detected in the surface water are known to have potential for aerobic hydrocarbon degradation, including <italic>Brevundimonas</italic> (<italic>Caulobacterales</italic>), <italic>Methylocaldum</italic> (<italic>Methylococcales</italic>); <italic>Xanthobacter</italic> (<italic>Rhizobiales</italic>), <italic>Flavobacterium</italic> (<italic>Flaviobacteriales</italic>), and diverse members of the order <italic>Burkholderiales</italic> (An et al., <xref ref-type="bibr" rid="B7">2013</xref>; Saidi-Mehrabad et al., <xref ref-type="bibr" rid="B57">2013</xref>). Aerobic microbial communities in oil sands tailings ponds therefore may have potential in bioremediation (Golby et al., <xref ref-type="bibr" rid="B21">2012</xref>; Saidi-Mehrabad et al., <xref ref-type="bibr" rid="B57">2013</xref>).</p>
<p>The importance of aerobic hydrocarbon degradation has been demonstrated in many environments (DeLaune et al., <xref ref-type="bibr" rid="B16">1980</xref>; Atlas, <xref ref-type="bibr" rid="B9">1991</xref>; Das and Chandran, <xref ref-type="bibr" rid="B15">2011</xref>). Aerobic microbial populations are known to be pivotal in the reclamation of industrially affected waters (Oller et al., <xref ref-type="bibr" rid="B48">2011</xref>; Tocchi et al., <xref ref-type="bibr" rid="B67">2012</xref>). Although oil sands tailings ponds are largely anoxic at present, understanding aerobic degradation processes is valuable because some of the reclamation strategies proposed for them involve increasing the depth of the oxic water cap. The &#x0201C;wet-landscape&#x0201D; approach proposes the conversion of tailings ponds to End-Pit Lakes or other wetlands (Allen, <xref ref-type="bibr" rid="B2">2008</xref>; Wayland et al., <xref ref-type="bibr" rid="B68">2008</xref>). In an End-Pit Lake strategy, freshwater (and OSPW) is used to form a deeper water cap on a tailings pond, in order to increase O<sub>2</sub> supply (thereby accelerating biodegradation), provide seed microbes and algae, and dilute the contaminants present (Allen, <xref ref-type="bibr" rid="B2">2008</xref>; Wayland et al., <xref ref-type="bibr" rid="B68">2008</xref>). It is expected that tailings will settle, density, release pore water into the water column, and detoxify naturally over time.</p>
<p>In this study, we combined metagenomics, Stable Isotope Probing (SIP), high-throughput sequencing of 16S rRNA gene amplicons, and cultivation to examine bacterial communities responsible for the degradation of two model aromatic hydrocarbons, benzene and naphthalene, in the oxic surface OSPW layer of an oil sands tailings pond.</p>
</sec>
<sec sec-type="materials and methods" id="s2">
<title>Materials and methods</title>
<sec>
<title>Sampling and water chemistry</title>
<p>The West-In-Pit (WIP) of Syncrude Canada, Ltd, established in 1997, was primarily used as a storage facility for fluid fine tailings and recycle water supply before its closure in December 2012 and repurposing as the first model End-Pit Lake for the oil sands industry in Canada (Syncrude, <xref ref-type="bibr" rid="B64">2012</xref>). Before closure, the pond stored approximately 200 Mm<sup>3</sup> of fluid fine tailings, capped with a minimum 5-m-deep layer (30 Mm<sup>3</sup>) of OSPW. Tailings porewater from this operation has previously been noted to contain 2,600 ng L<sup>&#x02212;1</sup> of total PAH, including 101 ng L<sup>&#x02212;1</sup> (780 nM) naphthalene (Madill et al., <xref ref-type="bibr" rid="B38">1999</xref>). The OSPW used in this study was surface water (0&#x02013;10 cm) sampled in August 2011. The chemical composition of the OSPW and the water sampling methods were described previously (Saidi-Mehrabad et al., <xref ref-type="bibr" rid="B57">2013</xref>). Throughout this article, OSPW sampled from the WIP tailings pond is termed WIP-OSPW.</p>
</sec>
<sec>
<title>Potential hydrocarbon oxidation rates</title>
<p>Potential rates of benzene and naphthalene oxidation (i.e., rates with excess substrate added) were measured in 20 mL (benzene) or 40 mL (naphthalene) amounts of OSPW in 120-mL serum vials, which were sealed with butyl rubber stoppers (20 mm). Vials containing MilliQ water were used as abiotic controls, and vials containing unamended OSPW were used as controls with no substrate addition. There is a small amount of hydrocarbon and other substrates in OSPW, therefore a slow CO<sub>2</sub> increase is expected. Hydrocarbon-amended samples, unfiltered OSPW controls, and MilliQ water controls were run in triplicates.</p>
<p>For benzene oxidation, 1 &#x003BC;l (&#x0003D; 11 &#x003BC;mol) of benzene (Sigma-Aldrich, St Louis, MO, USA) was added to 20 mL OSPW. Using a Henry&#x00027;s law constant of 0.18 M atm<sup>&#x02212;1</sup>, the initial benzene concentration was 0.30 mM in the liquid phase and 0.075 mmol L<sup>&#x02212;1</sup> in the gas phase. For naphthalene degradation, a 4.0 mM naphthalene (Sigma-Aldrich) stock was prepared in a 20-mL inert non-degradable carrier 2, 2, 4, 4, 6, 8, 8-heptamethylnonane (HMN; Sigma-Aldrich) and 10-mL aliquots were added to 40-mL OSPW sample volumes. The concentration of naphthalene in HMN is well above the saturation point of naphthalene in water (about 0.24 mM), and therefore it is assumed that naphthalene is saturating, and that calculations of naphthalene degradation in the system need only account for the HMN phase.</p>
<p>Bottles were incubated at 20&#x000B0;C on a rotary shaker at 180 rpm to ensure aeration, for 23 days (benzene) or 14 days (naphthalene). At regular intervals, benzene and naphthalene were measured by gas chromatography as previously described (Berdugo-Clavijo et al., <xref ref-type="bibr" rid="B10">2012</xref>; Fowler et al., <xref ref-type="bibr" rid="B20">2012</xref>). Oxidation rates were calculated by linear regression of benzene and naphthalene depletion over time. Headspace CO<sub>2</sub> and O<sub>2</sub> were monitored by injection of gas samples into a Varian 450-GC gas chromatograph equipped with a thermal conductivity detector (150&#x000B0;C), after separation in a 2 mm &#x000D7; 0.5 m Hayesep N and a 2 mm &#x000D7; 1.2 m Molecular Sieve 16X column in series (70&#x000B0;C). CO<sub>2</sub> production rates were calculated by linear regression of CO<sub>2</sub> production vs. time.</p>
</sec>
<sec>
<title>Stable isotope probing (SIP)</title>
<p>To identify microbial communities actively assimilating the model aromatic compounds, isotopically fully-labeled benzene (<sup>13</sup>C<sub>6</sub>H<sub>6</sub> 99 atom%, Sigma-Aldrich) and naphthalene (<sup>13</sup>C<sub>10</sub>H<sub>8</sub> 99 atom%) were used in DNA-SIP. To concentrate bacteria, 150 mL of OSPW were filtered through a 0.2-&#x003BC;m polysulfone filter (Pall Life Sciences, East Hills, NY, USA). The filter and 20 mL of OSPW were added to 100-mL serum vials and supplemented with 5 &#x003BC;M of labeled benzene or naphthalene. Vials containing 20 mL of filtered OSPW without added substrate were used as controls. Headspace CO<sub>2</sub> was monitored for all SIP-enrichments and incubations were terminated when CO<sub>2</sub> levels in the microcosms increased by around 1.0 &#x003BC;mol of CO<sub>2</sub>. After experimenting with different incubation times (3, 7, 9, and 14 days, data not shown), we chose the earliest times at which a shift toward heavy density fraction was visible in CsCl gradients, indicating <sup>13</sup>C incorporation into microbial genomes. Shifts were visible after 7 days (naphthalene) and 9 days (benzene), of incubation. Cells were collected by centrifugation for 10 min at 10,000 &#x000D7; g. DNA was extracted, purified, separated by isopycnic centrifugation in CsCl, and fractionated as described previously (Sharp et al., <xref ref-type="bibr" rid="B60">2012</xref>). DNA extracted from OSPW incubated for the same time without addition of substrates was used as a control to determine the expected position of unlabeled DNA in CsCl gradients. Heavy <sup>13</sup>C-labeled DNA fractions of labeled samples were selected as shown in Supplementary Figure <xref ref-type="supplementary-material" rid="SM1">S1</xref>. The corresponding highest-density fractions of OSPW receiving the same treatments (OSPW-heavy), and unfractionated DNA from fresh OSPW (OSPW-control) were used as controls.</p>
<p>Amplification of 16S rRNA genes, sequencing on a Roche 454 GS FLX, and analysis using QIIME were all carried out as described previously (Sharp et al., <xref ref-type="bibr" rid="B59">2014</xref>). Briefly, 16S rRNA genes were amplified from the gradient fractions using FLX Titanium amplicon primers 454T_RA_X and 454T_F containing the 16S rRNA gene targeted primers 926f and 1392r at their 3&#x02032;- ends, along with adaptors necessary for the Roche Titanium chemistry (Sharp et al., <xref ref-type="bibr" rid="B59">2014</xref>). The QIIME software platform was used to analyze the sequences (Caporaso et al., <xref ref-type="bibr" rid="B11">2010</xref>). Low-quality sequences were removed based on a minimum quality score of 25, Operational Taxonomic Units (OTUs) clustered based on 97% sequence identity, chimeras removed via ChimeraSlayer, and sequences classified via BLAST against the Greengenes database. Taxonomic identifications were verified by manual BLAST of representative OTU sequences against the NCBI database.</p>
</sec>
<sec>
<title>Metagenomics</title>
<p>Metagenomic DNA from OSPW was prepared and extracted as described previously (Saidi-Mehrabad et al., <xref ref-type="bibr" rid="B57">2013</xref>). DNA concentration was determined with a Qubit Fluorometer using a Quant-iT dsDNA HS Assay Kit (Invitrogen, Carlsbad, CA, USA). The DNA (12 &#x003BC;g) was sequenced using a combination of Roche 454 GS FLX and paired-end Illumina HiSeq2000 platforms at the Genome Quebec and McGill University Innovation Centre, Montreal, Quebec. Quality control and assembly of metagenomic data was performed at the University of Calgary Visual Genomics Center, Calgary, Canada according to previous reports (Saidi-Mehrabad et al., <xref ref-type="bibr" rid="B57">2013</xref>; Tan et al., <xref ref-type="bibr" rid="B65">2013</xref>; Aguilar et al., <xref ref-type="bibr" rid="B1">2016</xref>). Annotation was conducted by submission to the Joint Genome Institute IMG platform (Markowitz et al., <xref ref-type="bibr" rid="B39">2012</xref>).</p>
<p>Unassembled read based analysis was performed on the Illumina HiSeq2000 output due to the higher sequencing depth, although similar results were obtained when 454 reads were used. Clipping of the Illumina adapters, quality-trimming and size-filtering for the raw reads was performed using a BBDuk tool (trimk &#x0003D; 27, trimq &#x0003D; 20; minlen &#x0003D; 80, <ext-link ext-link-type="uri" xlink:href="http://jgi.doe.gov/data-and-tools/bbtools/">http://jgi.doe.gov/data-and-tools/bbtools/</ext-link>). Curated databases for key genes encoding enzymes for aerobic benzene and naphthalene degradation were constructed in a two-step process. First, core datasets for each gene were created by retrieving DNA sequences from NCBI Gene database using Enzyme Commission numbers and gene names. Next, the core datasets were extended by querying their entries using BLASTN against the NCBI non-redundant and environmental samples databases (Coordinators, <xref ref-type="bibr" rid="B13">2013</xref>). Sequences with nucleotide identities of 70% and above were added to the corresponding datasets. Processed metagenomic sequences were then queried against the reference datasets using BLASTN. Reads with minimum nucleotide sequence identities of 50% and alignment lengths of 75 bp were recruited. Custom python and bash scripts were created to run BLASTN, process the output, and quantify and recruit reads matching the specified criteria. Scripts are available at the GitHub repository (release v1.14.3, <ext-link ext-link-type="uri" xlink:href="https://github.com/dunfieldlab/mg_wrapser">https://github.com/dunfieldlab/mg_wrapser</ext-link>). Recruited reads, corresponding to each dataset, were then queried by BLASTN against the NCBI non-redundant database to validate functional identity and processed with MEtaGenome ANalyzer (MEGAN v.5.11.3) for taxonomic assignment (Huson et al., <xref ref-type="bibr" rid="B29">2007</xref>).</p>
</sec>
<sec>
<title>Isolation of hydrocarbon degrading bacteria</title>
<p>OSPW samples were initially enriched for 14 days with either 5 mM of benzene or naphthalene added (99.9%, Sigma-Aldrich). To cultivate bacterial strains from these enrichments, both complex media targeting versatile chemotrophs and basal mineral salts media containing the model hydrocarbons as sole carbon and energy sources were used. Enriched OSPW was diluted 1 : 10 with MilliQ water and 100-&#x003BC;l aliquots spread on 20% strength R2A (20R2A) plates adjusted to pH 8 with NaOH, as well as on a modification of the basal mineral salts medium M10 (Reasoner and Geldreich, <xref ref-type="bibr" rid="B54">1985</xref>). M10 was prepared as described previously (Heyer et al., <xref ref-type="bibr" rid="B25">2002</xref>), except that agar was substituted with 1.5% phytagel (Sigma-Aldrich), and MilliQ water was substituted with 0.2-&#x003BC;m-filtered OSPW to reproduce the natural conditions of tailings water. We named these modified media containing filtered tailings water 20R2A-T and M10-T. To specifically grow naphthalene-degrading microorganisms, a 10-fold serial dilution of the initial enrichment was applied (1 mL enrichment sample and 9 mL MilliQ water). Dilutions up to (10<sup>&#x02212;10</sup>) were plated onto solid medium M10-T prepared in 125-mL wide-mouth jars (I-Chem, VWR, Radnor, PA, USA). These growth vessels were inverted and 3 g of naphthalene placed on the lids to diffuse naphthalene vapor as previously described (Jeon et al., <xref ref-type="bibr" rid="B31">2004</xref>). For benzene-degrading microorganisms, OSPW samples enriched with 5 mM benzene were serially diluted as above, spread onto 20R2A-T in wide-mouth jars, and incubated with the addition of 0.1 mL of benzene per jar at 20&#x000B0;C for 60&#x02013;70 days.</p>
<p>Colonies were picked and streaked onto new plates of the same medium until pure colonies were obtained. Colony PCR was performed to screen the isolates. Single colonies were picked with autoclaved toothpicks and frozen at &#x02013;80&#x000B0;C overnight in 0.2-mL tubes to lyse cells. 16S rRNA genes were amplified using the universal primer set 9f and 1492b (Weisburg et al., <xref ref-type="bibr" rid="B69">1991</xref>). PCR reaction conditions were: initial denaturation at 94&#x000B0;C for 10 min, followed by 35 cycles of 1 min at 94&#x000B0;C, 1 min at 56&#x000B0;C and 2 min at 72&#x000B0;C, and a 10-min final elongation at 72&#x000B0;C. PCR products were visualized on a 1% agarose gel and purified with an EZ-10 Spin Column PCR Purification Kit (BioBasic Inc., Markham, ON, Canada). DNA concentration was determined as described above. Sanger sequencing was performed at the University of Calgary Core DNA Services using Applied Biosystems 3730xl (96 capillary) genetic analyzer (Applied Biosystems, Foster City, CA, USA). Forward and reverse sequences were merged via EMBOSS 6.3.1 merger (N&#x000E9;ron et al., <xref ref-type="bibr" rid="B44">2009</xref>) and &#x0003E;1,300 bp sequences were identified via BLASTN (Altschul et al., <xref ref-type="bibr" rid="B5">1997</xref>) against the EzTaxon server (Kim et al., <xref ref-type="bibr" rid="B34">2012</xref>).</p>
<p>A number of isolates were tested for their benzene degradation. Exponentially growing bacteria in 20R2A-T medium (pH 8.5) were transferred to 20R2A liquid medium (20 mL in a 100-mL serum vial), and sealed with butyl rubber stoppers. Benzene (6 &#x003BC;M) was added to the cultures. Each sample was run in triplicate. Loss of benzene was measured in duplicate pure cultures as described above. Growth was monitored by measuring OD<sub>600</sub> on an Ultrospec 10 Cell Density Meter (Amersham Biosciences, Piscataway, NJ).</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec>
<title>Potential hydrocarbon oxidation rates</title>
<p>The benzene and naphthalene oxidation rates measured were roughly linear over time (Supplementary Figures <xref ref-type="supplementary-material" rid="SM1">S2</xref>, <xref ref-type="supplementary-material" rid="SM1">S3</xref>). Therefore we assume 0-order kinetics (i.e., the enzymes are saturated and the rates reported are V<sub>max</sub> values not dependent on substrate concentration). The potential benzene oxidation rate was 4.3 &#x003BC;mol L<sup>&#x02212;1</sup> OSPW d<sup>&#x02212;1</sup> in the first 23 d, and the naphthalene oxidation rate was 21.4 &#x003BC;mol L<sup>&#x02212;1</sup> OSPW d<sup>&#x02212;1</sup> over 14 d (Supplementary Figures <xref ref-type="supplementary-material" rid="SM1">S2</xref>, <xref ref-type="supplementary-material" rid="SM1">S3</xref>). Conditions remained oxic throughout the incubations (the maximum O<sub>2</sub> decline was from 21% to 17% v/v). In the benzene enrichment 5.6 &#x003BC;mol of CO<sub>2</sub> L<sup>&#x02212;1</sup> OSPW d<sup>&#x02212;1</sup> was produced, 1.3 times of the expected CO<sub>2</sub> production based on the reaction: C<sub>6</sub>H<sub>6</sub> &#x0002B; 2.5O<sub>2</sub> &#x0002B; NH<sub>3</sub> &#x02192; C<sub>5</sub>H<sub>7</sub>O<sub>2</sub>N &#x0002B; CO<sub>2</sub> &#x0002B; H<sub>2</sub>O (Shuler and Kargi, <xref ref-type="bibr" rid="B61">2002</xref>). In the naphthalene enriched samples, 144.1 &#x003BC;mol of CO<sub>2</sub> L<sup>&#x02212;1</sup> OSPW d<sup>&#x02212;1</sup> was produced, or 1.3 times of the expected CO<sub>2</sub> production based on the reaction: C<sub>10</sub>H<sub>8</sub> &#x0002B; 7O<sub>2</sub> &#x0002B; NH<sub>3</sub> &#x02192; C<sub>5</sub>H<sub>7</sub>O<sub>2</sub>N &#x0002B; 5CO<sub>2</sub> &#x0002B; 2H<sub>2</sub>O (Shuler and Kargi, <xref ref-type="bibr" rid="B61">2002</xref>). The slightly higher than expected CO<sub>2</sub> production indicates that less C is assimilated from these compounds than predicted by simple models, or that added benzene and naphthalene enhance the degradation of other hydrocarbon substrates available in OSPW (Suthersan and McDonough, <xref ref-type="bibr" rid="B63">1996</xref>).</p>
</sec>
<sec>
<title>SIP and 16S rRNA gene sequencing</title>
<p>Density gradient separation of extracted DNA after 9 days (benzene) or 7 days (naphthalene) of incubation indicated that <sup>13</sup>C-substrate incubations led to a small shift in the DNA distribution toward heavier densities (Supplementary Figure <xref ref-type="supplementary-material" rid="SM1">S1</xref>). The positions of the &#x0201C;heavy&#x0201D; DNA fractions representing the active <sup>13</sup>C-assimilating communities were determined by comparing density gradients of the DNA extracted from the SIP incubations to that of the control samples, as indicated in Supplementary Figure <xref ref-type="supplementary-material" rid="SM1">S1</xref>.</p>
<p>Community analysis of 16S rRNA genes amplified from OSPW DNA prior to the SIP incubations showed both methanogenic archaea and diverse bacteria. The combination of anaerobes, aerobes, and facultative anaerobes has been noted before (An et al., <xref ref-type="bibr" rid="B7">2013</xref>; Saidi-Mehrabad et al., <xref ref-type="bibr" rid="B57">2013</xref>) and is probably the result of active water circulation between anoxic and oxic water zones. The dominant classes/phyla of bacteria were <italic>Betaproteobacteria, Alphaproteobacteria</italic>, and <italic>Flavobacteria</italic> (Supplementary Figure <xref ref-type="supplementary-material" rid="SM1">S4</xref>). The predominant genera were <italic>Hydrogenophaga, Luteibacter</italic>, and <italic>Enhydrobacter</italic> (Figure <xref ref-type="fig" rid="F1">1</xref>). After fractionation of this DNA extract in a CsCl gradient, generally the highest density from which a PCR product could be obtained was 1.74&#x02013;1.75 g/mL, which corresponded to the expected peak of the <sup>13</sup>C-labeled DNA in the SIP incubations. The community detected in this heaviest fraction of unincubated OSPW was much simpler, and dominated by the genera <italic>Devosia, Methylomonas, Thauera</italic>, and <italic>Brevundimonas</italic> (Figure <xref ref-type="fig" rid="F1">1</xref>). This OSPW-heavy community is a simplified subset of the OSPW-control community (Figure <xref ref-type="fig" rid="F1">1</xref>, Supplementary Table <xref ref-type="supplementary-material" rid="SM1">S1</xref>), suggesting that a few species have high G&#x0002B;C contents and therefore high DNA densities. This is supported by reported G&#x0002B;C contents for isolates of these genera: which range from 47 to 58% for <italic>Methylomomas</italic> (Hoefman et al., <xref ref-type="bibr" rid="B26">2014</xref>), 64&#x02013;6% for <italic>Devosia</italic> (Nakagawa et al., <xref ref-type="bibr" rid="B42">1996</xref>), and 66&#x02013;69% for <italic>Thauera</italic> (Mechichi et al., <xref ref-type="bibr" rid="B40">2002</xref>).</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Predominant taxa detected in DNA of control OSPW samples, and in heavy DNA fractions extracted after incubation with <sup>13</sup>C benzene or <sup>13</sup>C naphthalene. Data are relative abundances of taxa within sequenced 16S rRNA gene amplicons (only OTUs &#x0003E;1% of the total reads are shown). The lowest taxonomic level confidently assigned is based on 16S rRNA identity thresholds defined by Yarza et al. (<xref ref-type="bibr" rid="B71">2014</xref>). Phylum, class, order, and either family or genus is indicated. Benzene: heavy-DNA fraction of benzene-amended OSPW incubated for 9 days; Naphthalene: heavy-DNA fraction of naphthalene- amended OSPW incubated for 7 days; OSPW-heavy: heavy fraction of OSPW incubated for the same amount of time as the amended samples; and OSPW-control: complete, unfractionated DNA from OSPW. The bubbles show 6 abundance classes (1&#x02013;1.75%; 1.76&#x02013;4.5%; 4.6&#x02013;9%; 9.1&#x02013;18.5%; 18.6&#x02013;37.5%; &#x0003E;37.6%).</p></caption>
<graphic xlink:href="fmicb-08-01845-g0001.tif"/>
</fig>
<p>Communities detected in the heavy DNA fractions of the SIP incubations were compared to two controls: the complete native OSPW community and the native community only in the 1.74&#x02013;1.75 g/mL fraction, to verify that the species detected by SIP were truly enriched with <sup>13</sup>C. Only OTUs that were enriched at least 10-fold in the SIP heavy fractions compared to both controls, or OTUs that were enriched at least 2-fold and were predominant at &#x0003E;10% of the total DNA in the heavy fraction, were considered to be enriched in the added <sup>13</sup>C-substrate.</p>
<p>The <sup>13</sup>C-labeled, heavy DNA fraction from the benzene-SIP experiment was dominated by a close relative of <italic>Methyloversatilis universalis (Betaproteobacteria)</italic> that accounted for 86.9% of the community and was enriched 20-fold compared to the OSPW-heavy control (Figure <xref ref-type="fig" rid="F1">1</xref>, Supplementary Table <xref ref-type="supplementary-material" rid="SM1">S1</xref>). <italic>Zavarzinia (Alphaproteobacteria)</italic> was the second most predominant genus, enriched 26-fold compared to OSPW-heavy controls. This result was reproducible: in a second SIP experiment of <sup>13</sup>C-benzene incubated for 14 d <italic>Methyloversatilis</italic> was also predominant in the heavy DNA fraction (Supplementary Table <xref ref-type="supplementary-material" rid="SM1">S2</xref>). A SIP with <sup>13</sup>C-methanol also verified the methylotrophic phenotype of this OTU (data not shown).</p>
<p>The three most dominant taxa in the <sup>13</sup>C-naphthalene SIP heavy fraction were identified as <italic>Chromatiaceae, Thauera</italic>, and <italic>Pseudomonas. Chromatiaceae</italic> and <italic>Pseudomonas</italic> OTUs were enriched &#x0003E;25-fold compared to the OSPW-heavy control (Supplementary Table <xref ref-type="supplementary-material" rid="SM1">S1</xref>). The predominant <italic>Thauera</italic> OTU was enriched only 2-fold, but was the second most abundant OTU in this fraction. Although this <italic>Thauera</italic> OTU probably has a high G&#x0002B;C content and is therefore also abundant in the OSPW-heavy control, we conclude that its 2x enrichment in the benzene-heavy fraction may indicate a labeling of this organism by <sup>13</sup>C for 2 reasons: (i) the absolute amount of DNA in the <sup>13</sup>C-naphthalene SIP heavy fraction is much greater than the amount of DNA in the control OSPW-heavy fraction (31.6 vs. 0.17 ng/&#x003BC;l), indicating that this fraction is mostly newly synthesized DNA; and (ii) considering only OTUs that are many times enriched is a good approach for less common OTUs but may overlook common species, since abundances are relative and therefore the higher the initial abundance, the less it can increase (i.e., a greater than 10-fold increase is impossible for an OTU already present at 10% of the control, as seen for <italic>Thauera</italic>). Therefore the 2x enrichment of this OTU in the heavy fraction, combined with its predominance and the obvious increase in total DNA in the 1.74&#x02013;1.75 fraction of the naphthalene-SIP, likely indicate that <italic>Thauera</italic> also metabolized the naphthalene.</p>
</sec>
<sec>
<title>WIP-OSPW metagenome</title>
<p>An overview of the OSPW metagenome is given in the Supplementary Table <xref ref-type="supplementary-material" rid="SM1">S3</xref>. A predicted 7.5% of the annotated genes belonged to the KEGG category &#x0201C;xenobiotics biodegradation and metabolism.&#x0201D; The metagenome shows the genetic machinery for aerobic degradation of diverse petroleum hydrocarbons. Aromatic and polyaromatic compounds are predicted to be broken down via three different aerobic pathways: dioxygenase and dehydrogenase reactions, ring removal from polycyclic aromatic ring structures, and two-monooxygenase reactions (Figure <xref ref-type="fig" rid="F2">2</xref>). Each process forms catechol as an intermediate, which is broken down through the catechol meta-cleavage pathway into Acetyl-CoA. Benzene is attacked in this scenario by either benzene/toluene dioxygenase, or by a monooxygenase then a phenol hydroxylase, while naphthalene is attacked by dihydroxynaphthalene dioxygenases (Figure <xref ref-type="fig" rid="F2">2</xref>).</p>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p>Detected pathways (substrates) for aerobic hydrocarbon metabolism in the OSPW metagenome and their associated genes. Pathway descriptions: 1, meta-cleavage of catechol; 2, dioxygenase and dehydrogenase reactions; 3, ring removal from polycyclic aromatic ring; and 4, two monooxygenase reactions. Enzyme names abbreviations and their synonyms: <italic>dmpB, xylE</italic>, catechol 2,3-dioxygenase; <italic>dmpD, xylF</italic>, hydroxymuconate-semialdehyde hydrolase; <italic>dmpC, xylG</italic>, aminomuconate-semialdehyde/2-hydroxymuconate-6-semialdehyde dehydrogenase; <italic>praC, xylH</italic>, oxalocrotonate tautomerase; <italic>dmp</italic>H, <italic>xyl</italic>I, <italic>nah</italic>K, 2-oxo-3-hexenedioate decarboxylase; <italic>mhp</italic>D, 2-keto-4-pentenoate hydratase; <italic>mhp</italic>E, 4-hydroxy 2-oxovalerate aldolase; <italic>mhpF</italic>, acetaldehyde dehydrogenase; <italic>tod</italic>C1, <italic>bed</italic>C1, benzene/toluene dioxygenase; <italic>nahAc, ndoB</italic>, naphthalene 1,2-dioxygenase; <italic>nahC</italic>, dihydroxynaphthalene dioxygenase; <italic>nah</italic>D, hydroxychromene-2-carboxylate isomerase; <italic>nahE</italic>, trans-o-hydroxybenzylidenepyruvate hydratase-aldolase; <italic>nah</italic>F, salicylaldehyde dehydrogenase; sal-hyd, salicylate hydroxylase; <italic>dmpK, poxA</italic>, phenol hydroxylase.</p></caption>
<graphic xlink:href="fmicb-08-01845-g0002.tif"/>
</fig>
<p>A quantitative analysis of unassembled Illumina metagenome reads for the key genes shown in Figure <xref ref-type="fig" rid="F2">2</xref> suggested that these were predominantly found in <italic>Betaproteobacteria</italic> (particularly <italic>Burkholderiales</italic> and <italic>Rhodocyclales</italic>) and <italic>Gammaproteobacteria</italic> (particularly <italic>Pseudomonadales</italic> and unidentified orders) and a lesser extent in <italic>Alphaproteobacteria and Actinobacteria</italic> (Figure <xref ref-type="fig" rid="F3">3</xref>; finer taxonomic resolution of these results is shown for each gene in the Supplementary Figures <xref ref-type="supplementary-material" rid="SM1">S5A&#x02013;P</xref>). The most unusual patterns were obtained for <italic>dmp</italic>B encoding for catechol 2,3-dioxygenase as well as <italic>tod</italic>C1 encoding benzene/toluene dioxygenase. Both showed a large number of hits to bacteria that could not be identified reliably, suggesting that at the enzyme level and possibly also the taxonomic level uncharacterized species are involved in the biodegradation of aromatics The unassembled Illumina read analysis was also used to calculate the most prevalent taxa within the set of key genes encoding aromatic-compound degradation (Figure <xref ref-type="fig" rid="F4">4</xref>). Prevalence of a taxon was determined as the proportion of the 14 raw read datasets (i.e., the 14 genes in Figure <xref ref-type="fig" rid="F2">2</xref>) a taxon was detected in. The taxa identified in Figure <xref ref-type="fig" rid="F4">4</xref> are those with &#x0003E;60% of the key genes. They are shown to a higher taxonomic resolution than in Figure <xref ref-type="fig" rid="F3">3</xref> because of the relative simplicity of the dataset. The most prevalent taxa were similar to the most abundant taxa, dominated by <italic>Burkholderiales, Rhodocyclales, Pseudomonadales</italic>.</p>
<fig id="F3" position="float">
<label>Figure 3</label>
<caption><p>Unassembled metagenomic read distributions of the key genes from Figure <xref ref-type="fig" rid="F2">2</xref>. Bars represent reads per kilobase per million (RPKM) mapped to the corresponding gene using BLASTN. Taxonomic assignment on recruited reads that exceeded the 1% abundance cut-off was performed with MEGAN to the level of order. &#x0201C;Unclassified&#x0201D; groups include all members of a higher-level taxon that cannot be assigned at a more refined level. &#x0201C;Unassigned&#x0201D; represents reads MEGAN could not assign unambiguously to any taxon. RPKM values of genes <italic>nahC</italic> and <italic>nahD</italic>, and <italic>nahE</italic> and <italic>nahF</italic> are combined due to their identical functions and low RPKM levels.</p></caption>
<graphic xlink:href="fmicb-08-01845-g0003.tif"/>
</fig>
<fig id="F4" position="float">
<label>Figure 4</label>
<caption><p>Prevalence of the 14 selected key marker genes encoding aromatic compound degradation within taxa. The prevalence parameter is calculated as the percentage of the gene sets in which a taxon is identified, and only taxa showing &#x0003E;60% prevalence (i.e.,&#x0003E;8 genes) are shown. &#x0201C;Unclassified&#x0201D; groups include all members of a higher-level taxon that cannot be assigned at a more refined level. The percent prevalence corresponds to the size of the node.</p></caption>
<graphic xlink:href="fmicb-08-01845-g0004.tif"/>
</fig>
<p>Two of the bacterial taxa identified as important in the SIP studies, <italic>Pseudomonas</italic> (<italic>Pseudomonadales</italic>) and <italic>Thauera (Rhodocyclales)</italic>, show high abundance of some genes (Figure <xref ref-type="fig" rid="F3">3</xref> and Supplementary Figure <xref ref-type="supplementary-material" rid="SM1">S5</xref>) and high prevalence of the overall gene set (Figure <xref ref-type="fig" rid="F4">4</xref>). The three other taxa identified as important in the SIP studies, <italic>Methyloversatilis (Rhodocyclales), Chromatiaceae (Chromatiales)</italic>, and <italic>Zavarzinia (Rhodospirilalles)</italic>, were neither abundant nor prevalent (Figures <xref ref-type="fig" rid="F3">3</xref>,<xref ref-type="fig" rid="F4">4</xref>). However, in the case of <italic>Methyloversatilis</italic>, a large number of genes could be mapped to closely related sister genera within the <italic>Rhodocyclales</italic>/<italic>Rhodocyclaceae</italic> (<italic>Azoarcus</italic> and <italic>Thauera</italic>) (Figure <xref ref-type="fig" rid="F4">4</xref>; Supplementary Figures <xref ref-type="supplementary-material" rid="SM1">S5</xref>). MEGAN is limited by the NCBI database and is unable to resolve taxonomy unambiguously (Huson et al., <xref ref-type="bibr" rid="B29">2007</xref>), so some of these sequences may in fact represent gene content of the important <italic>Methyloversatilis</italic> OTU. One member of the <italic>Chromatiaceae</italic> (<italic>Chromatiales</italic>) was detected as the closest BLAST hit to a catechol 2,3-dioxygenase and a benzene/toluene dioxygenase (data not shown).</p>
</sec>
<sec>
<title>Isolated bacterial strains and their degradation potentials</title>
<p>Pure cultures of <italic>Xanthobacter</italic> (strain OSPW1) and <italic>Zavarzinia</italic> (strain OSPW2) were isolated using 20R2A-T medium (Supplementary Table <xref ref-type="supplementary-material" rid="SM1">S4</xref>). These were able to perform complete degradation of 6 &#x003BC;M benzene in 14 and 8 days, respectively, when growing on complex 20R2A medium (Supplementary Figure <xref ref-type="supplementary-material" rid="SM1">S6</xref>). <italic>Thauera</italic> sp. strain OSPW4 was isolated on complex media incubated under naphthalene vapor, which shows that it tolerates naphthalene, although it may not grow on naphthalene as a sole substrate. <italic>Pseudomonas</italic> sp. strain OSPW3 was isolated on mineral salts medium M10-T with naphthalene vapor as a sole substrate, and therefore was capable of growth on naphthalene as the sole substrate. No relatives of the two other predominant bacteria detected in <sup>13</sup>C-benzene and <sup>13</sup>C-naphthalene SIPs were isolated (i.e., <italic>Methyloversatilis</italic> and <italic>Chromatiaceae</italic>).</p>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>One plan for reclaiming oil sands tailings ponds in Canada is to convert them into End-Pit Lakes or other wetlands (Allen, <xref ref-type="bibr" rid="B2">2008</xref>; Wayland et al., <xref ref-type="bibr" rid="B68">2008</xref>; COSIA, <xref ref-type="bibr" rid="B14">2016</xref>). This method uses a layer of freshwater in order to increase O<sub>2</sub> supply (Allen, <xref ref-type="bibr" rid="B2">2008</xref>; Wayland et al., <xref ref-type="bibr" rid="B68">2008</xref>). It is expected that increased aeration will stimulate indigenous microbial decontamination rates, and that these systems will undergo natural biological remediation (Allen, <xref ref-type="bibr" rid="B2">2008</xref>; COSIA, <xref ref-type="bibr" rid="B14">2016</xref>). The capability of an OSPW community to aerobically degrade the model aromatic compounds benzene and naphthalene was demonstrated here. Naphthalene degradation rates were higher than those of benzene, which agrees with previous study showing that naphthalene has a higher biodegradation rate than other major hydrocarbons (Li and Goel, <xref ref-type="bibr" rid="B37">2011</xref>). However, both rates are somewhat lower than previously measured rates in other oil-contaminated natural environments (Alvarez et al., <xref ref-type="bibr" rid="B6">1991</xref>; Eriksson et al., <xref ref-type="bibr" rid="B17">1999</xref>; Nicholson and Fathepure, <xref ref-type="bibr" rid="B45">2005</xref>; Chang et al., <xref ref-type="bibr" rid="B12">2014</xref>), probably because of the complexity of the hydrocarbon mixture in OSPW and the resultant low concentration of individual components. For example, the total PAH cocktail in this pond was previously estimated as 2600 ng L<sup>&#x02212;1</sup>, but the naphthalene level only 101 ng L<sup>&#x02212;1</sup> (Madill et al., <xref ref-type="bibr" rid="B38">1999</xref>). Although we used benzene and naphthalene as model compounds because of availability, these are only two components of a diverse mixture of aromatic compounds <italic>in situ</italic>.</p>
<p>SIP studies using <sup>13</sup>C-benzene revealed the activity of the aerobic methylotroph genus <italic>Methyloversatilis</italic>. The genome of the type strain FAM5<sup>T</sup> of <italic>Methyloversatilis universalis</italic> has a predicted membrane protein involved in aromatic hydrocarbon degradation through the metacleavage pathway (Kittichotirat et al., <xref ref-type="bibr" rid="B35">2011</xref>). A recent study also discovered an uncultured bacterium related to <italic>M. universalis</italic> strain FAM5 (98% similarity) that can degrade benzene (Satija and Gore, <xref ref-type="bibr" rid="B58">2014</xref>). Previous studies have also reported this bacterium in various petroleum related environments, but its relative abundance never reached more than 18% and its role in hydrocarbon degradation was not deemed crucial (Golby et al., <xref ref-type="bibr" rid="B21">2012</xref>; Lenchi et al., <xref ref-type="bibr" rid="B36">2013</xref>; Noguchi et al., <xref ref-type="bibr" rid="B47">2014</xref>). Another prevalent genus identified in the heavy fractions of the <sup>13</sup>C-benzene SIP experiment was related to <italic>Zavarzinia</italic> (Willems and De Vos, <xref ref-type="bibr" rid="B70">2006</xref>). <italic>Zavarzinia</italic> is an aerobic carboxidotrophic bacterium (Meyer et al., <xref ref-type="bibr" rid="B41">2015</xref>), and has also been detected in various hydrocarbon-contaminated sites (Nies and Schlegel, <xref ref-type="bibr" rid="B46">1982</xref>; Al-Mailem et al., <xref ref-type="bibr" rid="B3">2014</xref>, <xref ref-type="bibr" rid="B4">2015</xref>). An isolate obtained in this study, named <italic>Zavarzinia</italic> sp. OSPW2, was shown to degrade benzene in pure culture (Supplementary Figure <xref ref-type="supplementary-material" rid="SM1">S7</xref>).</p>
<p>A different bacterial community was implicated in naphthalene degradation: predominantly <italic>Gammaproteobacteria</italic> of the family <italic>Chromatiaceae, Gammaproteobacteria</italic> of the genus <italic>Pseudomonas</italic>, and <italic>Betaproteobacteria</italic> of the genus <italic>Thauera. Chromatiaceae</italic> are abundant in OSPW surface water (2.6&#x02013;8.0% relative abundance) (Saidi-Mehrabad et al., <xref ref-type="bibr" rid="B57">2013</xref>). Some members of the family <italic>Chromatiaceae</italic> possess homogentisate 1,2-dioxygenase (HGD), a unique aromatic ring-cleavage enzyme, which cleaves an aromatic ring between <italic>ortho</italic> carbon atoms substituted with carboxyl and hydroxyl groups (Titus et al., <xref ref-type="bibr" rid="B66">2000</xref>; P&#x000E9;rez-Pantoja et al., <xref ref-type="bibr" rid="B51">2010</xref>). <italic>Thauera phenylacetica</italic> is a well-known facultative anaerobe that can degrade aromatic substrates under aerobic and denitrifying conditions (Mechichi et al., <xref ref-type="bibr" rid="B40">2002</xref>). Similarly, many strains of <italic>Pseudomonas stutzeri</italic> have been studied biochemically and genetically for aerobic naphthalene degradation (Rossell&#x000F3;-Mora et al., <xref ref-type="bibr" rid="B56">1994</xref>; Huang et al., <xref ref-type="bibr" rid="B28">2015</xref>). Both a <italic>Thauera</italic> strain (OSPW4) and a <italic>Pseudomonas</italic> strain (OSPW3) were successfully cultivated from our WIP-OSPW sample supplemented with naphthalene, supporting the conclusions of the SIP study.</p>
<p>The use of metagenomics allowed us to identify genes encoding dioxygenases and monooxygenases for the aerobic degradation of aromatic and polyaromatic hydrocarbons in the OSPW community (Figures <xref ref-type="fig" rid="F2">2</xref>&#x02013;<xref ref-type="fig" rid="F4">4</xref>). At some level the metagenome data support the SIP experiments in identifying important bacterial groups. Five key taxa were identified as important in the SIP studies of benzene and naphthalene degradation: <italic>Thauera, Pseudomonas, Methyloversatilis, Chromatiaceae</italic> and <italic>Zavarzinia. Three</italic> of these: <italic>Thauera, Pseudomonas</italic>, and <italic>Rhodocyclaceae</italic> (which contains <italic>Methyloversatilis</italic>) were predominant in the analysis of metagenome genes encoding key enzymes of aromatic hydrocarbon degradation- both when assessing the number of reads mapping to these taxa and when assessing the percentage of genes in the gene set mapping to these taxa (Figure <xref ref-type="fig" rid="F3">3</xref>). That is, these taxa were predominant numerically, and contained most genes to encode the degradation pathways. A few genes related to catechol 2,3-dioxygenase, benzene/toluene dioxygenase, and phenol hydroxylase, and homogentisate 1,2-dioxygenase (HGD) in the metagenome were also mapped by BLAST to members of the <italic>Chromatiaceae</italic>. There are no genomes available for <italic>Zavarzinia</italic>, so the failure to identify genes belonging to it in the metagenome is unsurprising, although only a very few matches to its higher-level taxa occurred (<italic>Rhodospiralles, Alphaproteobacteria</italic>). This organism may be a rare member of the community that grew rapidly upon benzene amendment.</p>
<p>Therefore most of the key players identified in the SIP experiments appear to be well represented in the metagenome, although only <italic>Thauera</italic> and <italic>Pseudomonas</italic> would have been predicted from an analysis of the metagenome alone. An analysis of the metagenome independent of the SIP experiments would have proposed a large variety of other candidates as well, especially members of the <italic>Burkholderiales</italic>, which are very abundant in OSPW (An et al., <xref ref-type="bibr" rid="B7">2013</xref>; Saidi-Mehrabad et al., <xref ref-type="bibr" rid="B57">2013</xref>). In this study, <italic>Burkholderiales</italic> were predominantly associated with most of the genes for catechol meta-cleavage and other key functions of aromatics degradation found in the metagenome (Figure <xref ref-type="fig" rid="F3">3</xref>). Members of the <italic>Rhizobiales</italic> (<italic>Alphaproteobacteria</italic>) also appear to encode monooxygenases for degradation of aromatic compounds in the metagenome (Figures <xref ref-type="fig" rid="F3">3</xref>,<xref ref-type="fig" rid="F4">4</xref>). Nevertheless, these two groups (<italic>Burkholderiales</italic> and <italic>Rhizobiales</italic>) did not appear as major active groups in either <sup>13</sup>C-benzene or <sup>13</sup>C-naphthalene SIPs. This finding indicates either that these genes cannot be properly mapped taxonomically with BLAST, or more likely that the detected genes are involved primarily in degradation of other abundant PAHs in the OSPW, rather than of the model aromatic compounds used in our experiments.</p>
<p>Therefore cultivation and SIP studies were key in filtering the huge mass of metagenomic data. Metagenomes alone have limited value for identifying bacterial species involved in particular processes, because: (i) mapping of key genes can usually only be inferred from BLAST identities, which is not always accurate due to incomplete pure-culture databases, as well as lateral gene transfer, (ii) some species may have the genetic systems required for a process but be only weakly active <italic>in situ</italic>, and (iii) a large number of genes detected (in our case ring-activating and ring-cleaving oxygenases) are not closely homologous to studied enzymes and their exact substrates are therefore uncertain. For example, benzene/toluene dioxygenase and phenol hydroxylase gene scaffolds in the metagenome were mapped to <italic>Pseudomonas sp</italic>. based on BLAST, but this bacterium was identified by SIP to be important in naphthalene but not benzene degradation. Naphthalene degradation genes from the metagenome were not mapped to <italic>Chromatiaceae</italic>, although this was identified by SIP as the most predominant organism in naphthalene degradation. There are clear limitations of the homology-based metagenome analysis.</p>
<p>The coupling of metagenomic sequencing technology, SIP, and traditional microbiological methods allowed us to identify organisms with important roles in degrading model aromatic compounds within the OSPW. Utilizing the metagenome alone was not very useful, since it predicted a huge number of potential hydrocarbon degraders (mostly <italic>Burkholderiales</italic> and <italic>Rhizobiales</italic>), but only a few of these were shown to be active in the actual SIP experiments using <sup>13</sup>C-benzene and <sup>13</sup>C-naphthalene. The others presumably utilize other substrates or are active under other conditions. Some predominant bacteria found to be important in our benzene and naphthalene amended environments, such as <italic>Methyloversatilis</italic> and <italic>Chromatiaceae</italic>, were not predominant in other related studies (P&#x000E9;rez-Pantoja et al., <xref ref-type="bibr" rid="B51">2010</xref>; Patel et al., <xref ref-type="bibr" rid="B50">2012</xref>; Jechalke et al., <xref ref-type="bibr" rid="B30">2013</xref>; Ortega-Gonz&#x000E1;lez et al., <xref ref-type="bibr" rid="B49">2013</xref>; Hassanshahian and Boroujeni, <xref ref-type="bibr" rid="B24">2016</xref>), demonstrating the uniqueness of this environment.</p>
</sec>
<sec id="s5">
<title>Author contributions</title>
<p>FR, IT, JK, LG, and PD designed the experiments. FR conducted the majority of the experimental work including SIP, DNA processing, and biochemical work, assisted by IT, JK, LG and ASM. Bioinformatics analysis were performed by AS, IT, XD, and CS. FR and AS designed the figures. FR and PD wrote the manuscript. All authors discussed the findings and provided input on the final manuscript.</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.</p></sec>
</sec>
</body>
<back>
<ack><p>This work was made possible through financial assistance from Genome Canada, Genome Alberta, Genome BC and the Government of Alberta (GC Grant 1203), as well as by an NSERC (Natural Sciences and Engineering Research Council of Canada) Collaborative Research and Development Grant (NSERC grant CRDPJ478071-14). We acknowledge the assistance of Syncrude Canada, Ltd., particularly Tara Penner.</p>
</ack>
<sec sec-type="supplementary-material" id="s6">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="http://journal.frontiersin.org/article/10.3389/fmicb.2017.01845/full#supplementary-material">http://journal.frontiersin.org/article/10.3389/fmicb.2017.01845/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Presentation1.pdf" id="SM1" mimetype="application/pdf" xmlns:xlink="http://www.w3.org/1999/xlink"/>
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