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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Mar. Sci.</journal-id>
<journal-title>Frontiers in Marine Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Mar. Sci.</abbrev-journal-title>
<issn pub-type="epub">2296-7745</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmars.2022.864214</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Marine Science</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Distribution of Different <italic>Scrippsiella acuminata</italic> (Dinophyta) Cyst Morphotypes in Surface Sediments of the Black Sea: A Basin Scale Approach</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Dzhembekova</surname>
<given-names>Nina</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/355460"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Rubino</surname>
<given-names>Fernando</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1360791"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Belmonte</surname>
<given-names>Manuela</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zlateva</surname>
<given-names>Ivelina</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/902312"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Slabakova</surname>
<given-names>Nataliya</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1048338"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ivanova</surname>
<given-names>Petya</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/157301"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Slabakova</surname>
<given-names>Violeta</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/719968"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Nagai</surname>
<given-names>Satoshi</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/397987"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Moncheva</surname>
<given-names>Snejana</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/369794"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Institute of Oceanology &#x201c;Fridtjof Nansen&#x201d; &#x2013; Bulgarian Academy of Sciences</institution>, <addr-line>Varna</addr-line>, <country>Bulgaria</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Water Research Institute, Unit Talassografico &#x201c;A. Cerruti&#x201d;, National Research Council CNR-IRSA</institution>, <addr-line>Taranto</addr-line>, <country>Italy</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>National Research Institute of Fisheries Science</institution>, <addr-line>Yokohama</addr-line>, <country>Japan</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Alberto Basset, University of Salento, Italy</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Haifeng Gu, State Oceanic Administration, China; Jelena Godrijan, Rudjer Boskovic Institute, Croatia</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Snejana Moncheva, <email xlink:href="mailto:snejanam@abv.bg">snejanam@abv.bg</email>
</p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Marine Ecosystem Ecology, a section of the journal Frontiers in Marine Science</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>28</day>
<month>04</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>9</volume>
<elocation-id>864214</elocation-id>
<history>
<date date-type="received">
<day>28</day>
<month>01</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>04</day>
<month>04</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Dzhembekova, Rubino, Belmonte, Zlateva, Slabakova, Ivanova, Slabakova, Nagai and Moncheva</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Dzhembekova, Rubino, Belmonte, Zlateva, Slabakova, Ivanova, Slabakova, Nagai and Moncheva</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) and the copyright owner(s) 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>Plankton cyst abundance and distribution is controlled by multiple factors. The stress linked to the fluctuations and variations of the environmental conditions in the water column is a major vector of encystment and intraspecific variability is an important adaptive strategy. The present study aims to disclose a link between the spatial distribution and abundance of different cyst morphotypes of <italic>Scrippsiella acuminata</italic> complex in surface sediments collected in the Black Sea at 34 sites and selected environmental variables. With this purpose, a basin scale data set was analyzed for patterns of intraspecific spatial heterogeneity. Redundancy analysis (RDA) was implemented to identify explanatory environmental variables associated with the cyst morphotypes abundance. Environmental multiyear data were used to ensure better approximation of a model that links environmental gradients with cyst abundance. Our results show that all <italic>S. acuminata</italic> cysts morphotypes are significantly correlated to one or a combination of the environmental variables, i.e., salinity, temperature and nutrients (nitrates and phosphates). The geographical distribution of <italic>Scrippsiella</italic> blooms in the Black Sea indicates that the interplay between the planktonic and benthic habitat of the dinoflagellate gives to <italic>S. acuminata</italic> the advantage to dominate in the plankton communities.</p>
</abstract>
<kwd-group>
<kwd>Black Sea</kwd>
<kwd>
<italic>Scrippsiella acuminata</italic>
</kwd>
<kwd>cyst abundance</kwd>
<kwd>cyst distribution</kwd>
<kwd>environmental variables</kwd>
<kwd>redundancy analysis</kwd>
</kwd-group>
<counts>
<fig-count count="6"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="75"/>
<page-count count="13"/>
<word-count count="7200"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Introduction</title>
<p>Many dinoflagellates produce benthic cysts as a part of their life cycle (reviewed in <xref ref-type="bibr" rid="B3">Belmonte and Rubino, 2019</xref>). The resting cysts accumulate in the sediments and serve as potential seed banks that secure the survival of the species over time (<xref ref-type="bibr" rid="B32">Lundholm et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B58">Ribeiro et&#xa0;al., 2013</xref>). They also play a crucial role in bloom initiation, especially important in the case of harmful algal bloom species (HABs) (<xref ref-type="bibr" rid="B1">Anderson et&#xa0;al., 2003</xref>; <xref ref-type="bibr" rid="B15">Garc&#xe9;s et&#xa0;al., 2004</xref>). Encystment is considered as an adaptive strategy the species play out to respond to environmental stresses driven by variations of environmental conditions, such as temperature, salinity, nutrient concentration or daylength. These variations can also influence the patterns of spatial distribution of dinocysts (<xref ref-type="bibr" rid="B2">Anderson et&#xa0;al., 1984</xref>; <xref ref-type="bibr" rid="B10">Devillers and de Vernal, 2000</xref>; <xref ref-type="bibr" rid="B64">Sgrosso et&#xa0;al., 2001</xref>; <xref ref-type="bibr" rid="B21">Grigorszky et&#xa0;al., 2006</xref>; <xref ref-type="bibr" rid="B59">Richter et&#xa0;al., 2007</xref>; <xref ref-type="bibr" rid="B75">Zonneveld and Susek, 2007</xref>; <xref ref-type="bibr" rid="B28">Kremp et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B31">Lundgren and Gran&#xe9;li, 2011</xref>; <xref ref-type="bibr" rid="B67">Shin et&#xa0;al., 2018</xref>). Furthermore, intraspecific morphological variability among cysts produced by some species, including dinoflagellates like <italic>Scrippsiella</italic> spp., has been associated to variations in environmental conditions, both in cultures (<xref ref-type="bibr" rid="B26">Kokinos and Anderson, 1995</xref>) and in the field (<xref ref-type="bibr" rid="B52">Olli and Anderson, 2002</xref>; <xref ref-type="bibr" rid="B75">Zonneveld and Susek, 2007</xref>; <xref ref-type="bibr" rid="B38">Mertens et&#xa0;al., 2009</xref>) and this intraspecific variability can be read as a quantitative measure of environmental variations (<xref ref-type="bibr" rid="B38">Mertens et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B35">Mertens et&#xa0;al., 2012a</xref>; <xref ref-type="bibr" rid="B53">Persson et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B65">Shin et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B23">Hoyle et&#xa0;al., 2019</xref>).</p>
<p>The cosmopolitan dinoflagellate <italic>Scrippsiella acuminata</italic> (Ehrenberg, 1836) Kretschmann, Elbr&#xe4;chter, Zinssmeister, S. Soehner, Kirsch, Kusber &amp; Gottschling, <xref ref-type="bibr" rid="B29">2015</xref> (the currently accepted name of <italic>Scrippsiella trochoidea</italic> (Stein, 1883) Loeblich III, 1976), is one of the dominant species in the phytoplankton community in the Black Sea, responsible for bloom events in the coastal areas of this basin (<xref ref-type="bibr" rid="B48">Nesterova et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B68">Terenko and Terenko, 2009</xref>; <xref ref-type="bibr" rid="B39">Moncheva et&#xa0;al., 2019</xref> and the references therein). Even the cysts of this species are widespread in the basin, being dominant in the western region off the Bulgarian coast (<xref ref-type="bibr" rid="B62">Rubino et&#xa0;al., 2010</xref>). Their presence is reported also from many sites in the South (<xref ref-type="bibr" rid="B46">Mudie et&#xa0;al., 2017</xref>) and in the Northwest off the Ukrainian coast where the abundance increases with the depth in the shelf zone (<xref ref-type="bibr" rid="B49">Nikonova, 2010</xref>; <xref ref-type="bibr" rid="B50">Nikonova, 2015</xref>; <xref ref-type="bibr" rid="B47">Mudie et&#xa0;al., 2021</xref>).</p>
<p>Many studies, aimed to clarify the taxonomic characters both of thecae and cysts of <italic>S. acuminata</italic> and the cyst-theca relationships, showed that actually this species should be considered as a member of a complex (<xref ref-type="bibr" rid="B43">Montresor et&#xa0;al., 2003</xref>; <xref ref-type="bibr" rid="B18">Gottschling et&#xa0;al., 2005</xref>) with cryptic species genetically differentiated but morphologically indistinguishable so far (<xref ref-type="bibr" rid="B74">Zinssmeister et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B30">Kretschmann et&#xa0;al., 2014</xref>).</p>
<p>Based on the high morphological variability of the <italic>S. acuminata</italic> cysts already observed in the Black Sea (<xref ref-type="bibr" rid="B11">Dzhembekova et&#xa0;al., 2020</xref>), and in the Mediterranean (<xref ref-type="bibr" rid="B13">Ferraro et&#xa0;al., 2017</xref>; Rubino et&#xa0;al., 2017) and reported also from the East China Sea (<xref ref-type="bibr" rid="B22">Gu et&#xa0;al., 2008</xref>), the aim of the present study was to clarify whether the geographic distribution of the different cyst morphotypes of <italic>S. acuminata</italic> in the surface sediments of many coastal and shelf sites of the Black Sea, could be related to other environmental variables, besides hypoxia and pH, as reported by <xref ref-type="bibr" rid="B65">Shin et&#xa0;al. (2013)</xref> and <xref ref-type="bibr" rid="B24">Ishikawa et&#xa0;al. (2019)</xref> from the Pacific Ocean. Accordingly, sea surface temperature (SST), sea surface salinity (SSS), currents speed (CS), station depth, nitrates (NO<sub>3</sub>) and phosphates (PO<sub>4</sub>) were analyzed as plausible drivers of the spatial distribution and abundance of <italic>S. acuminata</italic> cyst morphotypes.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec id="s2_1">
<title>Sampling</title>
<p>The study area covers Ukrainian, Romanian, Bulgarian, Turkish and Georgian waters. Surface sediment samples (top 2&#xa0;cm; N = 48) were collected during different campaigns carried out in spring and/or summer seasons, from April 2008 to June 2016, at 34 sites both at coastal (C), shelf (S) and open sea (O) areas (depth 13.1 &#x2013; 2100&#xa0;m), using a multicorer or a Van Veen Grab sampler. In addition, material collected by a sediment trap deployed at 1,000 m in the deep sea (bottom: 2,000 m depth) was analyzed (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>; <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>) (details about the sediment trap are given in <xref ref-type="bibr" rid="B17">Gogou et&#xa0;al., 2014</xref>). All the sediment samples were stored in the dark without preservatives at 4&#xb0;C until processing.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Map of sampling sites and location of stations in the Black Sea.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-09-864214-g001.tif"/>
</fig>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Sampling stations (location, sampling date, season, geographic coordinates, depth).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" colspan="2" align="left">Area</th>
<th valign="top" align="center">Station number</th>
<th valign="top" align="center">Station code</th>
<th valign="top" align="center">Sampling date</th>
<th valign="top" align="center">Season</th>
<th valign="top" align="center">Lat N (DD)</th>
<th valign="top" align="center">Lon E (DD)</th>
<th valign="top" align="center">Depth (m)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" rowspan="6" align="left">Ukraine</td>
<td valign="top" align="left">C</td>
<td valign="top" align="center">01</td>
<td valign="top" align="center">U01</td>
<td valign="top" align="left">May 2016</td>
<td valign="top" align="left">spring</td>
<td valign="top" align="center">46.202</td>
<td valign="top" align="center">30.827</td>
<td valign="top" align="center">28.6</td>
</tr>
<tr>
<td valign="top" align="left">C</td>
<td valign="top" align="center">02</td>
<td valign="top" align="center">U05</td>
<td valign="top" align="left">May 2016</td>
<td valign="top" align="left">spring</td>
<td valign="top" align="center">45.516</td>
<td valign="top" align="center">29.862</td>
<td valign="top" align="center">20.4</td>
</tr>
<tr>
<td valign="top" align="left">C</td>
<td valign="top" align="center">03</td>
<td valign="top" align="center">U06</td>
<td valign="top" align="left">May 2016</td>
<td valign="top" align="left">spring</td>
<td valign="top" align="center">45.311</td>
<td valign="top" align="center">29.853</td>
<td valign="top" align="center">22.8</td>
</tr>
<tr>
<td valign="top" align="left">C</td>
<td valign="top" align="center">04</td>
<td valign="top" align="center">U07</td>
<td valign="top" align="left">May 2016</td>
<td valign="top" align="left">spring</td>
<td valign="top" align="center">45.200</td>
<td valign="top" align="center">29.810</td>
<td valign="top" align="center">20.5</td>
</tr>
<tr>
<td valign="top" align="left">C</td>
<td valign="top" align="center">05</td>
<td valign="top" align="center">U12</td>
<td valign="top" align="left">May 2016</td>
<td valign="top" align="left">spring</td>
<td valign="top" align="center">46.325</td>
<td valign="top" align="center">31.467</td>
<td valign="top" align="center">16</td>
</tr>
<tr>
<td valign="top" align="left">C</td>
<td valign="top" align="center">06</td>
<td valign="top" align="center">U15</td>
<td valign="top" align="left">May 2016</td>
<td valign="top" align="left">spring</td>
<td valign="top" align="center">46.509</td>
<td valign="top" align="center">30.824</td>
<td valign="top" align="center">13.1</td>
</tr>
<tr>
<td valign="top" rowspan="5" align="left">Romania</td>
<td valign="top" align="left">C</td>
<td valign="top" align="center">07</td>
<td valign="top" align="center">R01</td>
<td valign="top" align="left">July 2013</td>
<td valign="top" align="left">summer</td>
<td valign="top" align="center">44.167</td>
<td valign="top" align="center">28.783</td>
<td valign="top" align="center">33.3</td>
</tr>
<tr>
<td valign="top" align="left">C</td>
<td valign="top" align="center">08</td>
<td valign="top" align="center">R02</td>
<td valign="top" align="left">July 2013</td>
<td valign="top" align="left">summer</td>
<td valign="top" align="center">44.167</td>
<td valign="top" align="center">29.133</td>
<td valign="top" align="center">47</td>
</tr>
<tr>
<td valign="top" align="left">S</td>
<td valign="top" align="center">09</td>
<td valign="top" align="center">R03</td>
<td valign="top" align="left">July 2013</td>
<td valign="top" align="left">summer</td>
<td valign="top" align="center">44.167</td>
<td valign="top" align="center">29.333</td>
<td valign="top" align="center">54</td>
</tr>
<tr>
<td valign="top" align="left">S</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">R04</td>
<td valign="top" align="left">July 2013</td>
<td valign="top" align="left">summer</td>
<td valign="top" align="center">44.167</td>
<td valign="top" align="center">29.667</td>
<td valign="top" align="center">64.7</td>
</tr>
<tr>
<td valign="top" align="left">S</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">R05</td>
<td valign="top" align="left">July 2013</td>
<td valign="top" align="left">summer</td>
<td valign="top" align="center">44.080</td>
<td valign="top" align="center">30.198</td>
<td valign="top" align="center">101</td>
</tr>
<tr>
<td valign="top" rowspan="13" align="left">Bulgaria</td>
<td valign="top" align="left">S</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">B201</td>
<td valign="top" align="left">April 2008 June 2008</td>
<td valign="top" align="left">spring</td>
<td valign="top" align="center">43.367</td>
<td valign="top" align="center">28.500</td>
<td valign="top" align="center">32</td>
</tr>
<tr>
<td valign="top" align="left">S</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">B202</td>
<td valign="top" align="left">April 2008 June 2008</td>
<td valign="top" align="left">spring</td>
<td valign="top" align="center">43.367</td>
<td valign="top" align="center">28.667</td>
<td valign="top" align="center">72</td>
</tr>
<tr>
<td valign="top" align="left">S</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">B203</td>
<td valign="top" align="left">April 2008 June 2008</td>
<td valign="top" align="left">spring</td>
<td valign="top" align="center">43.367</td>
<td valign="top" align="center">28.833</td>
<td valign="top" align="center">80</td>
</tr>
<tr>
<td valign="top" align="left">S</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">B204</td>
<td valign="top" align="left">June 2008</td>
<td valign="top" align="left">spring</td>
<td valign="top" align="center">43.367</td>
<td valign="top" align="center">29.000</td>
<td valign="top" align="center">96</td>
</tr>
<tr>
<td valign="top" align="left">C</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center">B301</td>
<td valign="top" align="left">April 2008 June 2008</td>
<td valign="top" align="left">spring</td>
<td valign="top" align="center">43.167</td>
<td valign="top" align="center">28.000</td>
<td valign="top" align="center">22</td>
</tr>
<tr>
<td valign="top" align="left">C</td>
<td valign="top" align="center">16a</td>
<td valign="top" align="center">B301</td>
<td valign="top" align="left">July 2013</td>
<td valign="top" align="left">summer</td>
<td valign="top" align="center">43.167</td>
<td valign="top" align="center">28.000</td>
<td valign="top" align="center">22</td>
</tr>
<tr>
<td valign="top" align="left">C</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">B302</td>
<td valign="top" align="left">April 2008 June 2008 April 2009</td>
<td valign="top" align="left">spring</td>
<td valign="top" align="center">43.167</td>
<td valign="top" align="center">28.167</td>
<td valign="top" align="center">22</td>
</tr>
<tr>
<td valign="top" align="left">S</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center">B303</td>
<td valign="top" align="left">April 2008 June 2008 April 2009</td>
<td valign="top" align="left">spring</td>
<td valign="top" align="center">43.167</td>
<td valign="top" align="center">28.333</td>
<td valign="top" align="center">41</td>
</tr>
<tr>
<td valign="top" align="left">S</td>
<td valign="top" align="center">18a</td>
<td valign="top" align="center">B303</td>
<td valign="top" align="left">July 2013</td>
<td valign="top" align="left">summer</td>
<td valign="top" align="center">43.167</td>
<td valign="top" align="center">28.333</td>
<td valign="top" align="center">41</td>
</tr>
<tr>
<td valign="top" align="left">S</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">B304</td>
<td valign="top" align="left">April 2008 June 2008 April 2009</td>
<td valign="top" align="left">spring</td>
<td valign="top" align="center">43.167</td>
<td valign="top" align="center">28.500</td>
<td valign="top" align="center">78</td>
</tr>
<tr>
<td valign="top" align="left">S</td>
<td valign="top" align="center">19a</td>
<td valign="top" align="center">B304</td>
<td valign="top" align="left">July 2013</td>
<td valign="top" align="left">summer</td>
<td valign="top" align="center">43.167</td>
<td valign="top" align="center">28.500</td>
<td valign="top" align="center">78</td>
</tr>
<tr>
<td valign="top" align="left">S</td>
<td valign="top" align="center">20</td>
<td valign="top" align="center">B305</td>
<td valign="top" align="left">June 2008</td>
<td valign="top" align="left">spring</td>
<td valign="top" align="center">43.167</td>
<td valign="top" align="center">28.667</td>
<td valign="top" align="center">93</td>
</tr>
<tr>
<td valign="top" align="left">S</td>
<td valign="top" align="center">20a</td>
<td valign="top" align="center">B305</td>
<td valign="top" align="left">July 2013</td>
<td valign="top" align="left">summer</td>
<td valign="top" align="center">43.167</td>
<td valign="top" align="center">28.667</td>
<td valign="top" align="center">93</td>
</tr>
<tr>
<td valign="top" rowspan="3" align="left">Bulgaria (Varna Bay)</td>
<td valign="top" align="left">C</td>
<td valign="top" align="center">21</td>
<td valign="top" align="center">VB</td>
<td valign="top" align="left">June 2008</td>
<td valign="top" align="left">spring</td>
<td valign="top" align="center">43.206</td>
<td valign="top" align="center">27.956</td>
<td valign="top" align="center">7.5</td>
</tr>
<tr>
<td valign="top" align="left">C</td>
<td valign="top" align="center">22</td>
<td valign="top" align="center">VB1</td>
<td valign="top" align="left">June 2008</td>
<td valign="top" align="left">spring</td>
<td valign="top" align="center">43.169</td>
<td valign="top" align="center">27.925</td>
<td valign="top" align="center">16.4</td>
</tr>
<tr>
<td valign="top" align="left">C</td>
<td valign="top" align="center">23</td>
<td valign="top" align="center">VB2</td>
<td valign="top" align="left">June 2008</td>
<td valign="top" align="left">spring</td>
<td valign="top" align="center">43.200</td>
<td valign="top" align="center">27.937</td>
<td valign="top" align="center">11</td>
</tr>
<tr>
<td valign="top" rowspan="4" align="left">Turkey</td>
<td valign="top" align="left">S</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">T15</td>
<td valign="top" align="left">July 2013</td>
<td valign="top" align="left">summer</td>
<td valign="top" align="center">41.936</td>
<td valign="top" align="center">28.573</td>
<td valign="top" align="center">101</td>
</tr>
<tr>
<td valign="top" align="left">S</td>
<td valign="top" align="center">25</td>
<td valign="top" align="center">T16</td>
<td valign="top" align="left">July 2013</td>
<td valign="top" align="left">summer</td>
<td valign="top" align="center">41.897</td>
<td valign="top" align="center">28.379</td>
<td valign="top" align="center">75.6</td>
</tr>
<tr>
<td valign="top" align="left">S</td>
<td valign="top" align="center">26</td>
<td valign="top" align="center">T17</td>
<td valign="top" align="left">July 2013</td>
<td valign="top" align="left">summer</td>
<td valign="top" align="center">41.854</td>
<td valign="top" align="center">28.113</td>
<td valign="top" align="center">53.3</td>
</tr>
<tr>
<td valign="top" align="left">S</td>
<td valign="top" align="center">27</td>
<td valign="top" align="center">T18</td>
<td valign="top" align="left">July 2013</td>
<td valign="top" align="left">summer</td>
<td valign="top" align="center">41.830</td>
<td valign="top" align="center">28.005</td>
<td valign="top" align="center">27.2</td>
</tr>
<tr>
<td valign="top" rowspan="3" align="left">Georgia</td>
<td valign="top" align="left">S</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">G07</td>
<td valign="top" align="left">May 2016</td>
<td valign="top" align="left">spring</td>
<td valign="top" align="center">41.763</td>
<td valign="top" align="center">41.715</td>
<td valign="top" align="center">63</td>
</tr>
<tr>
<td valign="top" align="left">S</td>
<td valign="top" align="center">29</td>
<td valign="top" align="center">G08</td>
<td valign="top" align="left">May 2016</td>
<td valign="top" align="left">spring</td>
<td valign="top" align="center">41.904</td>
<td valign="top" align="center">41.749</td>
<td valign="top" align="center">42</td>
</tr>
<tr>
<td valign="top" align="left">S</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">G11</td>
<td valign="top" align="left">May 2016</td>
<td valign="top" align="left">spring</td>
<td valign="top" align="center">42.123</td>
<td valign="top" align="center">41.616</td>
<td valign="top" align="center">37</td>
</tr>
<tr>
<td valign="top" rowspan="5" align="left">Open Sea</td>
<td valign="top" align="left">O</td>
<td valign="top" align="center">31</td>
<td valign="top" align="center">OS3</td>
<td valign="top" align="left">May 2016</td>
<td valign="top" align="left">spring</td>
<td valign="top" align="center">43.367</td>
<td valign="top" align="center">31.833</td>
<td valign="top" align="center">1933</td>
</tr>
<tr>
<td valign="top" align="left">O</td>
<td valign="top" align="center">32</td>
<td valign="top" align="center">OS12</td>
<td valign="top" align="left">May 2016</td>
<td valign="top" align="left">spring</td>
<td valign="top" align="center">42.235</td>
<td valign="top" align="center">39.886</td>
<td valign="top" align="center">1904</td>
</tr>
<tr>
<td valign="top" align="left">O</td>
<td valign="top" align="center">33</td>
<td valign="top" align="center">OS13</td>
<td valign="top" align="left">May 2016</td>
<td valign="top" align="left">spring</td>
<td valign="top" align="center">43.526</td>
<td valign="top" align="center">36.070</td>
<td valign="top" align="center">2100</td>
</tr>
<tr>
<td valign="top" align="left">O</td>
<td valign="top" align="center">34</td>
<td valign="top" align="center">OS23</td>
<td valign="top" align="left">May 2016</td>
<td valign="top" align="left">spring</td>
<td valign="top" align="center">44.636</td>
<td valign="top" align="center">31.388</td>
<td valign="top" align="center">391</td>
</tr>
<tr>
<td valign="top" align="left">O</td>
<td valign="top" align="center">35</td>
<td valign="top" align="center">Trap32</td>
<td valign="top" align="left">April 2009</td>
<td valign="top" align="left">spring</td>
<td valign="top" align="center">43.017</td>
<td valign="top" align="center">29.467</td>
<td valign="top" align="center">1000</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>C, coastal; S, shelf; O, open sea.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s2_2">
<title>Sediment Treatment, Qualitative and Quantitative Analysis of Cysts</title>
<p>From each sample, an aliquot of homogenized sediment (from 2.0 to 2.2 cm<sup>3</sup>) was used for the analyses of cysts while a parallel aliquot (&#x2248; 10&#xa0;cm <sup>3</sup>) was collected to calculate the water content. The wet aliquots were weighed and screened through a 10 &#xb5;m mesh (Endecotts Limited steel sieves, ISO3310-1, London, England) using natural filtered (0.45 &#xb5;m) seawater (<xref ref-type="bibr" rid="B41">Montresor et&#xa0;al., 2010</xref>). The material retained onto the sieve was ultrasonicated for 1&#xa0;min at low frequency and screened again through a sieve battery (200, 75 and 20 &#xb5;m mesh sizes). A fine-grained fraction (20&#x2013;75 &#xb5;m) mainly containing protistan cysts, was obtained. The material retained onto the 75 and 200 &#xb5;m mesh was not considered in this study. No chemicals were used to dissolve sediment particles in order to preserve calcareous cyst walls.</p>
<p>Qualitative and quantitative analyses were carried out under an inverted microscope (Zeiss Axiovert 200M) equipped with a Leica MC170 HD digital camera at x320-400 magnification. Both full cysts with cytoplasmic content (i.e., presumably viable) and empty, already germinated cysts were enumerated; 200 viable cysts were counted at least for each sample to obtain abundance values as homogeneous as possible and evaluate rare species too. To estimate the water content of sediment an aliquot from each sample (&#x2248; 10 cm<sup>3</sup>) was weighed and dried out overnight at 70&#xb0;C. Quantitative data are reported as cysts g<sup>-1</sup> of dry sediment.</p>
<p>All resting stage morphotypes were identified based on published descriptions. For organic dinocysts, the images and the key provided in Appendix B by <xref ref-type="bibr" rid="B46">Mudie et&#xa0;al. (2017)</xref> were used. The different resting stage morphotypes of <italic>S. acuminata</italic> were identified based on published descriptions (<xref ref-type="bibr" rid="B22">Gu et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B65">Shin et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B66">Shin et&#xa0;al., 2014</xref>) and germination experiments (as described below). They are distinguished here based on their size and wall features (i.e., calcified or uncalcified walls, presence and type of processes) and named with acronyms considering these features as:</p>
<list list-type="simple">
<list-item>
<p>SaR= S. acuminata rough</p>
</list-item>
<list-item>
<p>SaU= <italic>S. acuminata</italic> uncalcified</p>
</list-item>
<list-item>
<p>SaL= <italic>S. acuminata</italic> large</p>
</list-item>
<list-item>
<p>SaM= <italic>S. acuminata</italic> medium</p>
</list-item>
<list-item>
<p>SaS= <italic>S. acuminata</italic> small.</p>
</list-item>
</list>
<p>To confirm the taxonomical identification, germination experiments were performed on single cysts isolated into Nunclon MicroWell plates (Nalge Nunc International, Roskilde, Denmark) containing &#x2248; 1&#xa0;ml of natural sterilized seawater. Particular attention was given to the naked forms (i.e., without calcareous structures) with a smooth wall and those with a size smaller than that typical of <italic>S. acuminata</italic>. A total of more than 100 cysts of these types were isolated, considering the samples from all the campaigns, to obtain germination. All the isolated cysts were incubated at 20&#xb0;C, equinoctial photoperiod and 80 &#x3bc;E m<sup>-2</sup> s<sup>-1</sup> irradiance and examined daily until germination. The choice of the incubation conditions was based on previous studies of <italic>S. acuminata</italic> excystment (<xref ref-type="bibr" rid="B13">Ferraro et&#xa0;al., 2017</xref>; Rubino et&#xa0;al., 2017).</p>
</sec>
<sec id="s2_3">
<title>Environmental Data</title>
<p>A multiyear (1998-2016) data set of six environmental variables near surface temperature (SST), salinity (SSS), currents&#x2019; speed (CS), station depth, nitrates (NO<sub>3</sub>) and phosphates (PO<sub>4</sub>) concentrations) was constructed based on monthly Black Sea reanalysis products available from the Copernicus Marine Environment Monitoring Service (CMEMS <uri xlink:href="https://resources.marine.copernicus.eu/?option=com_csw&amp;task=results">https://resources.marine.copernicus.eu/?option=com_csw&amp;task=results</uri>). The time interval of the data set was calibrated considering the time span represented by the sediment surface layer collected for the cyst analysis. The physical parameters (CMEMS product id: BLKSEA_REANALYSIS_PHYS_007_004) were derived from a hydrodynamic model (NEMO, v3.6) implemented over the whole Black Sea basin (<xref ref-type="bibr" rid="B33">Madec, 2012</xref>). The horizontal grid resolution of the model is 1/36&#xb0; in zonal resolution, 1/27&#xb0; in meridional resolution. The latter provides data for temperature, salinity, horizontal velocity (zonal and meridional components) for the Black Sea domain since 1992. Nutrients (NO<sub>3</sub> and PO<sub>4</sub>) were obtained from CMEMS product id: BLKSEA_REANALYSIS_BIO_007_005- BAMHBI, with the same grid resolution as NEMO model (<xref ref-type="bibr" rid="B19">Gr&#xe9;goire et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B20">Gr&#xe9;goire &amp; Soetaert, 2010</xref>; <xref ref-type="bibr" rid="B7">Capet et&#xa0;al., 2016</xref>). A multiyear (1998&#x2013;2016) environmental (explanatory) dataset covering the period from April to September, corresponding with the seasons of sediment sampling campaigns for cyst collection, was extracted.</p>
</sec>
<sec id="s2_4">
<title>Statistical Analyses</title>
<p>The data set for the analysis was based on the abundance of the different <italic>Scrippsiella acuminata</italic> cyst morphotypes as registered at each coastal and shelf sampling sites during the entire survey period (N = 34 samples excluding open sea stations and the trap data). For the stations with repetitive sampling (narrow Bulgarian coastal and shelf area &#x2013; stations from 12 to 20) the data were averaged for the purpose of the analyses. Detrended canonical analysis (DCA) was employed for the estimation of gradient lengths and feasibility of linear or unimodal methods, respectively. Redundancy analysis (RDA) was implemented to identify explanatory environmental variables, associated with cyst morphotypes abundance (log-transformed data). Initially, all the six environmental variables were explored by RDA to check their influence on the cyst abundance. The variables &#x201c;depth&#x201d; and &#x201c;current&#x201d; resulted not statistically significant from this preliminary analysis, so they were excluded to improve the overall model statistical significance. The variance inflection factors of the variables were calculated as a diagnostic tool for multicollinearity of data. Analysis of variance (ANOVA) was used as permutation test to assess the overall RDA model significance, RDA axes and the explanatory variables significance.</p>
<p>Bi-dimensional representation of the statistical comparison among the samples and the seasonal maxima of monthly mean values of environmental variables (SST, SSS, NO<sub>3</sub> and PO<sub>4</sub>) was performed by means of non-parametric multidimensional scaling (NMDS). The analysis of similarities (ANOSIM) was carried out to statistically verify the segregation of the sampling sites in relation to the environmental variables.</p>
<p>All analyses and graphic representations were performed using the statistics and programming software R 3.6.2 (<xref ref-type="bibr" rid="B56">R Core Team, 2019</xref>), packages &#x2018;vegan&#x2019; (<xref ref-type="bibr" rid="B51">Oksanen, 2015</xref>), available through the CRAN repository (<uri xlink:href="http://www.r-project.org">www.r-project.org</uri>). All maps were produced using ArcGIS software version 10.2.2 (ESRI 2011).</p>
</sec>
</sec>
<sec id="s3">
<title>Results</title>
<sec id="s3_1">
<title>Cyst Distribution and Concentrations</title>
<p>Total dinocyst abundance varied largely during the study period, ranging from 5 cysts g<sup>-1</sup> (st. 13, June 2008) to 5,981 cysts g<sup>-1</sup> (st. 1, May 2016) for viable forms and from 6 cysts g<sup>-1</sup> (st. 21, June 2008) to 3,963 cysts g<sup>-1</sup> (st. 31, May 2016) for empty forms. Cysts of <italic>Scrippsiella</italic> spp. (i.e., also including species different from <italic>S. acuminata</italic>) were recorded at all stations representing between 29 and 100% of the total abundance of viable cysts and between 30 and 94% of empty cysts total number, with viable cysts prevailing in the majority of the samples. Altogether, 13 different taxa were distinguished within the genus <italic>Scrippsiella</italic> with six identified to species level (<italic>S. acuminata</italic>, <italic>S. kirschiae</italic>, <italic>S. lachrymosa</italic>, <italic>S. ramonii</italic>, <italic>S. spinifera</italic>, <italic>S. trifida</italic>). <italic>S. acuminata</italic> cysts were widespread throughout the entire study area (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>) and dominated in the sediments, with 46 to 100% of <italic>Scrippsiella</italic> viable forms.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Distribution of <italic>S. acuminata</italic> complex cysts in the Black Sea sediments (data according to <xref ref-type="bibr" rid="B46">Mudie et&#xa0;al., 2017</xref> are not quantitative and are shown only as presence locations).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-09-864214-g002.tif"/>
</fig>
<p>Similar to total dinocysts, the cyst densities of <italic>S. acuminata</italic> complex were highly variable. The lowest values were registered in June 2008 at the Bulgarian shelf station 13 and at the coastal site 21, along the Varna transect, with 3 and 5 cysts g<sup>-1</sup> respectively, while the highest densities were observed in May 2016 at the open sea station 31, with 4,275 cysts g<sup>-1</sup> for full forms and 2,500 cysts g<sup>-1</sup> for empty ones. Viable cyst proportions exceeded 50% (up to 100% &#x2013; st. 14 in June 2008) of the total cyst abundance in about 68% of the samples, and in 58% of the samples for the empty cysts. Spatially, <italic>S. acuminata</italic> complex cysts were more abundant at open sea (347&#x2013;4,275 cysts g<sup>-1</sup>). In the shelf area, the abundance varied between 3 and 1,985 full cysts g<sup>-1</sup>, and for coastal stations from 5 to 2,556 full cysts g<sup>-1</sup>.</p>
<p>Finally, cysts of <italic>S. acuminata</italic> complex were abundant in the sediment trap deployed at a depth of 1,000 m as well, accounting up to 83% of the <italic>Scrippsiella</italic> cysts and 48% of the total dinocyst abundance.</p>
</sec>
<sec id="s3_2">
<title>
<italic>Scrippsiella acuminata</italic> Cysts Morphotypes &#x2013; Identification and Distribution</title>
<p>Five cyst morphotypes&#xa0;of <italic>Scrippsiella acuminata</italic> were observed in the sediment samples (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3, 1a-7</bold>
</xref>; <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Different cyst morphotypes produced by <italic>Scrippsiella acuminata</italic> complex, identified in the surface sediments of the Black Sea<italic>; a</italic> and <italic>b</italic> refer to viable and germinated cysts respectively; scale bars = 20 &#xb5;m, except <bold>4a, b</bold> and <bold>5a, b</bold> scale bars = 10 &#xb5;m. 1. SaR <bold>(1a, b)</bold> &#x2013; <italic>S. acuminata</italic> rough type; 2. SaU <bold>(2a, b)</bold> &#x2013; <italic>S. acuminata</italic> uncalcified type; 3. SaL <bold>(3a, b)</bold> &#x2013; <italic>S. acuminata</italic> large type; 4. SaM <bold>(4a, b)</bold> <italic>S. acuminata</italic> medium type; 5. SaS <bold>(5a, b)</bold> &#x2013; <italic>S. acuminata</italic> small type; 6. Vegetative stage produced by germination of SaR; 7. Vegetative stage produced by germination of SaM.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-09-864214-g003.tif"/>
</fig>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Environmental variables (sea surface temperature, SST; sea surface salinity, SSS; currents&#x2019; speed, CS; station depth; nitrates, NO<sub>3</sub>;<bold> </bold>and phosphates, PO<sub>4</sub>) and abundance of viable <italic>S. acuminata</italic> cyst morphotypes (SaL, <italic>S.</italic> a<italic>cuminata</italic> large; SaM, <italic>S. acuminata</italic> medium; SaS, <italic>S. acuminata</italic> small; SaR, <italic>S. acuminata</italic> rough; SaU, <italic>S. acuminata</italic> uncalcified; Tot , total).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">St.</th>
<th valign="top" align="center">Sampling date</th>
<th valign="top" align="center">SST</th>
<th valign="top" align="center">SSS</th>
<th valign="top" align="center">CS</th>
<th valign="top" align="center">Station depth</th>
<th valign="top" align="center">NO<sub>3</sub>
</th>
<th valign="top" align="center">PO<sub>4</sub>
</th>
<th valign="top" align="center">SaL</th>
<th valign="top" align="center">SaM</th>
<th valign="top" align="center">SaS</th>
<th valign="top" align="center">SaR</th>
<th valign="top" align="center">SaU</th>
<th valign="top" align="center">Tot</th>
</tr>
<tr>
<th valign="top" align="left">No</th>
<th valign="top" align="center">month year</th>
<th valign="top" align="center">&#xb0;C</th>
<th valign="top" align="center">psu</th>
<th valign="top" align="center">m s<sup>-1</sup>
</th>
<th valign="top" align="center">m</th>
<th valign="top" colspan="2" align="center">mmol m<sup>-3</sup>
</th>
<th valign="top" colspan="6" align="center">cysts g<sup>-1</sup>
</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">
<bold>1</bold>
</td>
<td valign="top" align="left">
<bold>May 2016</bold>
</td>
<td valign="top" align="center">22.94</td>
<td valign="top" align="center">15.85</td>
<td valign="top" align="center">0.0214</td>
<td valign="top" align="center">28.6</td>
<td valign="top" align="center">150.58</td>
<td valign="top" align="center">3.2</td>
<td valign="top" align="center">93</td>
<td valign="top" align="center">1074</td>
<td valign="top" align="center">630</td>
<td valign="top" align="center">426</td>
<td valign="top" align="center">333</td>
<td valign="top" align="center">2556</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>2</bold>
</td>
<td valign="top" align="left">
<bold>May 2016</bold>
</td>
<td valign="top" align="center">22.9</td>
<td valign="top" align="center">16.73</td>
<td valign="top" align="center">0.0114</td>
<td valign="top" align="center">20.4</td>
<td valign="top" align="center">207.35</td>
<td valign="top" align="center">3.19</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">175</td>
<td valign="top" align="center">146</td>
<td valign="top" align="center">39</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">394</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>3</bold>
</td>
<td valign="top" align="left">
<bold>May 2016</bold>
</td>
<td valign="top" align="center">22.59</td>
<td valign="top" align="center">16.86</td>
<td valign="top" align="center">0.0365</td>
<td valign="top" align="center">22.8</td>
<td valign="top" align="center">196.85</td>
<td valign="top" align="center">2.6</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">368</td>
<td valign="top" align="center">282</td>
<td valign="top" align="center">188</td>
<td valign="top" align="center">34</td>
<td valign="top" align="center">889</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>4</bold>
</td>
<td valign="top" align="left">
<bold>May 2016</bold>
</td>
<td valign="top" align="center">22.59</td>
<td valign="top" align="center">16.58</td>
<td valign="top" align="center">0.0741</td>
<td valign="top" align="center">20.5</td>
<td valign="top" align="center">188.96</td>
<td valign="top" align="center">2.49</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">140</td>
<td valign="top" align="center">101</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">256</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>5</bold>
</td>
<td valign="top" align="left">
<bold>May 2016</bold>
</td>
<td valign="top" align="center">22.05</td>
<td valign="top" align="center">15.3</td>
<td valign="top" align="center">0.0077</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center">170.46</td>
<td valign="top" align="center">2.42</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">130</td>
<td valign="top" align="center">91</td>
<td valign="top" align="center">27</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center">281</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>6</bold>
</td>
<td valign="top" align="left">
<bold>May 2016</bold>
</td>
<td valign="top" align="center">23.05</td>
<td valign="top" align="center">15.31</td>
<td valign="top" align="center">0.0189</td>
<td valign="top" align="center">13.1</td>
<td valign="top" align="center">197.07</td>
<td valign="top" align="center">16.99</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">346</td>
<td valign="top" align="center">150</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">523</td>
<td valign="top" align="center">1028</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>7</bold>
</td>
<td valign="top" align="left">
<bold>July 2013</bold>
</td>
<td valign="top" align="center">28.04</td>
<td valign="top" align="center">17.02</td>
<td valign="top" align="center">0.024</td>
<td valign="top" align="center">33.3</td>
<td valign="top" align="center">62.57</td>
<td valign="top" align="center">2.83</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">186</td>
<td valign="top" align="center">141</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">32</td>
<td valign="top" align="center">370</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>8</bold>
</td>
<td valign="top" align="left">
<bold>July 2013</bold>
</td>
<td valign="top" align="center">28.09</td>
<td valign="top" align="center">17.77</td>
<td valign="top" align="center">0.0641</td>
<td valign="top" align="center">47</td>
<td valign="top" align="center">32.63</td>
<td valign="top" align="center">3.35</td>
<td valign="top" align="center">40</td>
<td valign="top" align="center">741</td>
<td valign="top" align="center">273</td>
<td valign="top" align="center">60</td>
<td valign="top" align="center">84</td>
<td valign="top" align="center">1198</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>9</bold>
</td>
<td valign="top" align="left">
<bold>July 2013</bold>
</td>
<td valign="top" align="center">28.04</td>
<td valign="top" align="center">17.92</td>
<td valign="top" align="center">0.0873</td>
<td valign="top" align="center">54</td>
<td valign="top" align="center">22.33</td>
<td valign="top" align="center">3.58</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">162</td>
<td valign="top" align="center">113</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center">326</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>10</bold>
</td>
<td valign="top" align="left">
<bold>July 2013</bold>
</td>
<td valign="top" align="center">27.91</td>
<td valign="top" align="center">17.96</td>
<td valign="top" align="center">0.0325</td>
<td valign="top" align="center">64.7</td>
<td valign="top" align="center">16.85</td>
<td valign="top" align="center">3.91</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">470</td>
<td valign="top" align="center">355</td>
<td valign="top" align="center">37</td>
<td valign="top" align="center">52</td>
<td valign="top" align="center">918</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>11</bold>
</td>
<td valign="top" align="left">
<bold>July 2013</bold>
</td>
<td valign="top" align="center">27.75</td>
<td valign="top" align="center">18.47</td>
<td valign="top" align="center">0.041</td>
<td valign="top" align="center">101</td>
<td valign="top" align="center">14.12</td>
<td valign="top" align="center">4.86</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">453</td>
<td valign="top" align="center">276</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">37</td>
<td valign="top" align="center">788</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">
<bold>12</bold>
</td>
<td valign="top" align="left">
<bold>April 2008</bold>
</td>
<td valign="top" rowspan="2" align="center">22.31</td>
<td valign="top" rowspan="2" align="center">17.34</td>
<td valign="top" rowspan="2" align="center">0.1193</td>
<td valign="top" rowspan="2" align="center">32</td>
<td valign="top" rowspan="2" align="center">26.17</td>
<td valign="top" rowspan="2" align="center">0.46</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">86</td>
<td valign="top" align="center">67</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">153</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>June 2008</bold>
</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center">95</td>
<td valign="top" align="center">58</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">169</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">
<bold>13</bold>
</td>
<td valign="top" align="left">
<bold>April 2008</bold>
</td>
<td valign="top" rowspan="2" align="center">22.38</td>
<td valign="top" rowspan="2" align="center">17.6</td>
<td valign="top" rowspan="2" align="center">0.0664</td>
<td valign="top" rowspan="2" align="center">72</td>
<td valign="top" rowspan="2" align="center">22.04</td>
<td valign="top" rowspan="2" align="center">0.42</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">40</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">49</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>June 2008</bold>
</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">3</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">
<bold>14</bold>
</td>
<td valign="top" align="left">
<bold>April 2008</bold>
</td>
<td valign="top" rowspan="2" align="center">22.47</td>
<td valign="top" rowspan="2" align="center">18.26</td>
<td valign="top" rowspan="2" align="center">0.0127</td>
<td valign="top" rowspan="2" align="center">80</td>
<td valign="top" rowspan="2" align="center">18.44</td>
<td valign="top" rowspan="2" align="center">0.27</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">47</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">61</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>June 2008</bold>
</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">21</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>15</bold>
</td>
<td valign="top" align="left">
<bold>June 2008</bold>
</td>
<td valign="top" align="center">22.47</td>
<td valign="top" align="center">18.37</td>
<td valign="top" align="center">-0.0088</td>
<td valign="top" align="center">96</td>
<td valign="top" align="center">7.62</td>
<td valign="top" align="center">0.29</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">12</td>
</tr>
<tr>
<td valign="top" rowspan="3" align="left">
<bold>16</bold>
</td>
<td valign="top" align="left">
<bold>April 2008</bold>
</td>
<td valign="top" rowspan="2" align="center">22.27</td>
<td valign="top" rowspan="2" align="center">17.61</td>
<td valign="top" rowspan="2" align="center">0.0011</td>
<td valign="top" rowspan="3" align="center">22</td>
<td valign="top" rowspan="2" align="center">16.89</td>
<td valign="top" rowspan="2" align="center">0.43</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">93</td>
<td valign="top" align="center">44</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">143</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>June 2008</bold>
</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">40</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">50</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>July 2013</bold>
</td>
<td valign="top" align="center">27.85</td>
<td valign="top" align="center">17.73</td>
<td valign="top" align="center">0.0299</td>
<td valign="top" align="center">17.28</td>
<td valign="top" align="center">3.4</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">217</td>
<td valign="top" align="center">134</td>
<td valign="top" align="center">32</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">415</td>
</tr>
<tr>
<td valign="top" rowspan="3" align="left">
<bold>17</bold>
</td>
<td valign="top" align="left">
<bold>April 2008</bold>
</td>
<td valign="top" rowspan="3" align="center">22.39</td>
<td valign="top" rowspan="3" align="center">17.64</td>
<td valign="top" rowspan="3" align="center">0.039</td>
<td valign="top" rowspan="3" align="center">22</td>
<td valign="top" rowspan="3" align="center">18.54</td>
<td valign="top" rowspan="3" align="center">0.43</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">46</td>
<td valign="top" align="center">26</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">72</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>June 2008</bold>
</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">101</td>
<td valign="top" align="center">51</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">160</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>April 2009</bold>
</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">42</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">67</td>
</tr>
<tr>
<td valign="top" rowspan="4" align="left">
<bold>18</bold>
</td>
<td valign="top" align="left">
<bold>April 2008</bold>
</td>
<td valign="top" rowspan="3" align="center">22.35</td>
<td valign="top" rowspan="3" align="center">17.59</td>
<td valign="top" rowspan="3" align="center">0.0069</td>
<td valign="top" rowspan="4" align="center">41</td>
<td valign="top" rowspan="3" align="center">16.89</td>
<td valign="top" rowspan="3" align="center">0.98</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">23</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">31</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>June 2008</bold>
</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">182</td>
<td valign="top" align="center">97</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">286</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>April 2009</bold>
</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">196</td>
<td valign="top" align="center">170</td>
<td valign="top" align="center">78</td>
<td valign="top" align="center">85</td>
<td valign="top" align="center">529</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>July 2013</bold>
</td>
<td valign="top" align="center">27.88</td>
<td valign="top" align="center">17.71</td>
<td valign="top" align="center">-0.008</td>
<td valign="top" align="center">16.89</td>
<td valign="top" align="center">3.36</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">295</td>
<td valign="top" align="center">239</td>
<td valign="top" align="center">99</td>
<td valign="top" align="center">44</td>
<td valign="top" align="center">677</td>
</tr>
<tr>
<td valign="top" rowspan="4" align="left">
<bold>19</bold>
</td>
<td valign="top" align="left">
<bold>April 2008</bold>
</td>
<td valign="top" rowspan="3" align="center">22.55</td>
<td valign="top" rowspan="3" align="center">17.7</td>
<td valign="top" rowspan="3" align="center">0.0354</td>
<td valign="top" rowspan="4" align="center">78</td>
<td valign="top" rowspan="3" align="center">23.05</td>
<td valign="top" rowspan="3" align="center">1.18</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">126</td>
<td valign="top" align="center">46</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">184</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>June 2008</bold>
</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">92</td>
<td valign="top" align="center">50</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">142</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>April 2009</bold>
</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">272</td>
<td valign="top" align="center">132</td>
<td valign="top" align="center">104</td>
<td valign="top" align="center">119</td>
<td valign="top" align="center">627</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>July 2013</bold>
</td>
<td valign="top" align="center">27.72</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center">0.1489</td>
<td valign="top" align="center">21.11</td>
<td valign="top" align="center">3.45</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">338</td>
<td valign="top" align="center">276</td>
<td valign="top" align="center">89</td>
<td valign="top" align="center">58</td>
<td valign="top" align="center">768</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">
<bold>20</bold>
</td>
<td valign="top" align="left">
<bold>June 2008</bold>
</td>
<td valign="top" align="center">22.57</td>
<td valign="top" align="center">18.02</td>
<td valign="top" align="center">0.0487</td>
<td valign="top" rowspan="2" align="center">93</td>
<td valign="top" align="center">18.2</td>
<td valign="top" align="center">0.31</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">14</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>July 2013</bold>
</td>
<td valign="top" align="center">27.62</td>
<td valign="top" align="center">18.2</td>
<td valign="top" align="center">0.1071</td>
<td valign="top" align="center">18.2</td>
<td valign="top" align="center">4.58</td>
<td valign="top" align="center">33</td>
<td valign="top" align="center">933</td>
<td valign="top" align="center">656</td>
<td valign="top" align="center">211</td>
<td valign="top" align="center">152</td>
<td valign="top" align="center">1985</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>21</bold>
</td>
<td valign="top" align="left">
<bold>June 2008</bold>
</td>
<td valign="top" align="center">22.14</td>
<td valign="top" align="center">17.58</td>
<td valign="top" align="center">0.0094</td>
<td valign="top" align="center">7.5</td>
<td valign="top" align="center">16.89</td>
<td valign="top" align="center">0.43</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">5</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>22</bold>
</td>
<td valign="top" align="left">
<bold>June 2008</bold>
</td>
<td valign="top" align="center">22.14</td>
<td valign="top" align="center">17.58</td>
<td valign="top" align="center">0.0094</td>
<td valign="top" align="center">16.4</td>
<td valign="top" align="center">16.89</td>
<td valign="top" align="center">0.43</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">75</td>
<td valign="top" align="center">53</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">128</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>23</bold>
</td>
<td valign="top" align="left">
<bold>June 2008</bold>
</td>
<td valign="top" align="center">22.14</td>
<td valign="top" align="center">17.58</td>
<td valign="top" align="center">0.0094</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">16.89</td>
<td valign="top" align="center">0.43</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">98</td>
<td valign="top" align="center">52</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">155</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>24</bold>
</td>
<td valign="top" align="left">
<bold>July 2013</bold>
</td>
<td valign="top" align="center">27.53</td>
<td valign="top" align="center">18.48</td>
<td valign="top" align="center">0.1624</td>
<td valign="top" align="center">101</td>
<td valign="top" align="center">15.00</td>
<td valign="top" align="center">4.92</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">280</td>
<td valign="top" align="center">168</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">471</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>25</bold>
</td>
<td valign="top" align="left">
<bold>July 2013</bold>
</td>
<td valign="top" align="center">27.63</td>
<td valign="top" align="center">18.53</td>
<td valign="top" align="center">0.0897</td>
<td valign="top" align="center">75.6</td>
<td valign="top" align="center">13.52</td>
<td valign="top" align="center">3.34</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">288</td>
<td valign="top" align="center">161</td>
<td valign="top" align="center">74</td>
<td valign="top" align="center">25</td>
<td valign="top" align="center">561</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>26</bold>
</td>
<td valign="top" align="left">
<bold>July 2013</bold>
</td>
<td valign="top" align="center">27.58</td>
<td valign="top" align="center">18.62</td>
<td valign="top" align="center">0.0057</td>
<td valign="top" align="center">53.3</td>
<td valign="top" align="center">12.65</td>
<td valign="top" align="center">3.34</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">342</td>
<td valign="top" align="center">166</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">564</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>27</bold>
</td>
<td valign="top" align="left">
<bold>July 2013</bold>
</td>
<td valign="top" align="center">27.2</td>
<td valign="top" align="center">18.67</td>
<td valign="top" align="center">-0.000851</td>
<td valign="top" align="center">27.2</td>
<td valign="top" align="center">42.51</td>
<td valign="top" align="center">3.32</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">31</td>
<td valign="top" align="center">33</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">79</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>28</bold>
</td>
<td valign="top" align="left">
<bold>May 2016</bold>
</td>
<td valign="top" align="center">21.59</td>
<td valign="top" align="center">16.05</td>
<td valign="top" align="center">0.0318</td>
<td valign="top" align="center">63</td>
<td valign="top" align="center">3.35</td>
<td valign="top" align="center">4.43</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">112</td>
<td valign="top" align="center">82</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">202</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>29</bold>
</td>
<td valign="top" align="left">
<bold>May 2016</bold>
</td>
<td valign="top" align="center">23.86</td>
<td valign="top" align="center">16.93</td>
<td valign="top" align="center">0.008</td>
<td valign="top" align="center">42</td>
<td valign="top" align="center">6.88</td>
<td valign="top" align="center">4.39</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">82</td>
<td valign="top" align="center">45</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">139</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>30</bold>
</td>
<td valign="top" align="left">
<bold>May 2016</bold>
</td>
<td valign="top" align="center">23.69</td>
<td valign="top" align="center">17.65</td>
<td valign="top" align="center">0.0092</td>
<td valign="top" align="center">37</td>
<td valign="top" align="center">41.69</td>
<td valign="top" align="center">4.18</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">130</td>
<td valign="top" align="center">60</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">202</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>31</bold>
</td>
<td valign="top" align="left">
<bold>May 2016</bold>
</td>
<td valign="top" align="center">n/a</td>
<td valign="top" align="center">n/a</td>
<td valign="top" align="center">n/a</td>
<td valign="top" align="center">1933</td>
<td valign="top" align="center">n/a</td>
<td valign="top" align="center">n/a</td>
<td valign="top" align="center">75</td>
<td valign="top" align="center">2700</td>
<td valign="top" align="center">1450</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">50</td>
<td valign="top" align="center">4275</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>32</bold>
</td>
<td valign="top" align="left">
<bold>May 2016</bold>
</td>
<td valign="top" align="center">n/a</td>
<td valign="top" align="center">n/a</td>
<td valign="top" align="center">n/a</td>
<td valign="top" align="center">1904</td>
<td valign="top" align="center">n/a</td>
<td valign="top" align="center">n/a</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">208</td>
<td valign="top" align="center">132</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">347</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>33</bold>
</td>
<td valign="top" align="left">
<bold>May 2016</bold>
</td>
<td valign="top" align="center">n/a</td>
<td valign="top" align="center">n/a</td>
<td valign="top" align="center">n/a</td>
<td valign="top" align="center">2100</td>
<td valign="top" align="center">n/a</td>
<td valign="top" align="center">n/a</td>
<td valign="top" align="center">37</td>
<td valign="top" align="center">2037</td>
<td valign="top" align="center">1259</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">37</td>
<td valign="top" align="center">3370</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>34</bold>
</td>
<td valign="top" align="left">
<bold>May 2016</bold>
</td>
<td valign="top" align="center">n/a</td>
<td valign="top" align="center">n/a</td>
<td valign="top" align="center">n/a</td>
<td valign="top" align="center">391</td>
<td valign="top" align="center">n/a</td>
<td valign="top" align="center">n/a</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1900</td>
<td valign="top" align="center">767</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">2667</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>35</bold>
</td>
<td valign="top" align="left">
<bold>April 2009</bold>
</td>
<td valign="top" align="center">n/a</td>
<td valign="top" align="center">n/a</td>
<td valign="top" align="center">n/a</td>
<td valign="top" align="center">1000</td>
<td valign="top" align="center">n/a</td>
<td valign="top" align="center">n/a</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">78</td>
<td valign="top" align="center">1127</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">492</td>
<td valign="top" align="center">1698</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>
<italic>SaR</italic> (<italic>Scrippsiella acuminata</italic> rough type) (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3, 1a, b</bold>
</xref>)</p>
<p>Spherical, from light to dark brown in color, 30-40 &#xb5;m in diameter. The calcareous layer has a rough surface with many irregular cobblestone-like crystals. A red body is always visible inside, with many other greenish granules. The archeopyle is chasmic and epicystal.</p>
<p>More than 70% of the incubated cysts (n = 11) germinated producing active stages identified as <italic>Scrippsiella acuminata</italic> by light microscopy.</p>
<p>
<italic>SaU</italic> (<italic>Scrippsiella acuminata</italic> uncalcified type) (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>, <xref ref-type="fig" rid="f3">
<bold>2a, b</bold>
</xref>)</p>
<p>Spherical, light brown in color, 32-38 &#xb5;m in diameter. The wall is uncalcified, made by a thick organic layer, resistant to dissolution in HCl 10%. One or two large red or sometimes orange bodies are always well visible. The archeopyle is chasmic epicystal.</p>
<p>More than 75% of the incubated cysts (n = 23) germinated producing active stages identified as <italic>Scrippsiella acuminata</italic> by light microscopy.</p>
<p>
<italic>SaL</italic> (<italic>Scrippsiella acuminata</italic> large type) (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3a, b</bold>
</xref>)</p>
<p>Spherical to mostly ovoid, dark brown, with a prominent red body clearly visible inside. The wall is covered by typical rod-like capitate or spiny calcareous processes. The body size ranges from 45 &#xb5;m to 55 &#xb5;m for the major axis and 30 &#xb5;m to 40 &#xb5;m for the minor axis (excluding processes). The archeopyle is chasmic epicystal, in form of a zig-zag split along some plate boundaries. The epicyst usually remains attached. More than 80% of the incubated cysts (n = 15) germinated producing active stages identified as <italic>Scrippsiella acuminata</italic> by light microscopy. This morphotype is similar to that produced by <italic>Scrippsiella erinaceus</italic>, recently signaled in the Black Sea, along the Romanian coast (<xref ref-type="bibr" rid="B73">&#x17d;erdoner &#x10c;alasan et&#xa0;al., 2019</xref>).</p>
<p>
<italic>SaM</italic> (<italic>Scrippsiella acuminata</italic> medium type) (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3, 4a, b</bold>
</xref>)</p>
<p>Spherical to ovoid, dark brown, with a prominent red body clearly visible below the wall. This is covered by typical rod-like capitate or spiny calcareous processes. The body size ranges from 26 &#xb5;m to 31 &#xb5;m for the minor axis and 30 &#xb5;m to 40 &#xb5;m for the major axis (excluding processes). The archeopyle is meso-epicystal, in form of a zig-zag split. There is no detachable operculum.</p>
<p>More than 70% of the incubated cysts (n = 18) germinated producing active stages identified as <italic>Scrippsiella acuminata</italic> by light microscopy.</p>
<p>
<italic>SaS</italic> (<italic>Scrippsiella acuminata</italic> small type) (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3, 5a, b</bold>
</xref>)</p>
<p>Spherical to ovoid, dark brown, with a prominent red body clearly visible below the wall. This is made by calcareous capitate, sometimes spiny, processes. The body size ranges from 20 &#xb5;m to 26 &#xb5;m in diameter (excluding processes). The archeopyle is epicystal, in form of a zig-zag split and without an operculum that can detach. Nearly 50% of the incubated cysts (n = 10) germinated producing active stages identified as <italic>Scrippsiella acuminata</italic> by light microscopy.</p>
<p>Generally, more than two different <italic>S. acuminata</italic> morphotypes co-occurred in the studied samples. The morphotypes SaM and SaS resulted the most abundant, accounting for 59% and 30% of the total density of <italic>S. acuminata</italic> cysts. The abundance of SaL was much lower (only 2%) while SaR and SaU densities resulted variable, but they were observed in a high number of sites, i.e., 57% and 67%, respectively.</p>
<p>Concerning the spatial distribution, the highest density of SaR viable cysts (426 cysts g<sup>-1</sup>) was observed at the Ukrainian station 1, while it resulted less abundant in Georgian and Turkish areas. The range of abundance of this morphotype in coastal area was between 0 and 426 cysts g<sup>-1</sup>, whereas at the deeper stations the maximum abundance was lower (between 0 and 211 cysts g<sup>-1</sup> for shelf and between 0 and 1 cysts g<sup>-1</sup> for open sea). Worth to note, SaR and SaU viable cysts were observed mainly during the summer surveys. Although its variable density at the sampling sites, SaU viable cysts were particularly abundant at the Ukrainian station 6 (523 cysts g<sup>-1</sup>) (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>). In the coastal area the SaU abundance was between 0 and 523 cysts g<sup>-1</sup>, similarly in the open sea it varied from 0 to 496, while in the shelf the maximum value was lower (0 &#x2013; 152 cysts g<sup>-1</sup>).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>
<italic>S. acuminata</italic> morphotypes distribution and % of the total abundance of <italic>S. acuminata</italic> viable cysts in the Black Sea, by sampling stations (for the stations with repetitive sampling, the maximum abundance is shown). Size of the pies corresponds to total <italic>S. acuminata</italic> cyst abundance (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-09-864214-g004.tif"/>
</fig>
<p>For SaL type the maximum recorded abundance was lowest for shelf area (0 &#x2013; 33 cysts g<sup>-1</sup>) whereas the values for coastal and open sea stations were close (0 &#x2013; 93 cysts g<sup>-1</sup> and 0 &#x2013; 75 cysts g<sup>-1</sup>, respectively). SaM and SaS tended to increase offshore (78 &#x2013; 2700 cysts g<sup>-1</sup> and 132 &#x2013; 1450 cysts g<sup>-1</sup>, respectively). At coastal stations, they ranged between 4 and 1074 cysts g<sup>-1</sup> for SaM and from 1 to 630 cysts g<sup>-1</sup> for SaS. In shelf area, SaM abundance varied between 2 and 933 cysts g<sup>-1</sup> and SaS between 1 and 656 cysts g<sup>-1</sup>.</p>
<p>Among the four different morphotypes collected in the trap, i.e., SaR, SaU, SaM and SaS, the <italic>&#x201c;</italic>small type&#x201d; was the dominant one (66% of all <italic>S. acuminata</italic> cysts), followed by the &#x201c;uncalcified type&#x201d; (29%) while the presence of the &#x201c;medium&#x201d; and &#x201c;rough&#x201d; types was much lower (5%).</p>
</sec>
<sec id="s3_3">
<title>Environmental Factors and Statistical Analyses</title>
<p>The summary of the environmental variables&#x2019; statistics is presented in <xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>, showing rather limited ranges of variation of salinity and temperature.</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Summary of the statistic of the environmental variables in the study area.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Variable</th>
<th valign="top" align="center">Minimum</th>
<th valign="top" align="center">Maximum</th>
<th valign="top" align="center">Average</th>
<th valign="top" align="center">Std. dev.</th>
<th valign="top" align="center">Variance</th>
<th valign="top" align="center">Range</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Temperature, &#xb0;C</td>
<td valign="top" align="center">21.59</td>
<td valign="top" align="center">28.09</td>
<td valign="top" align="center">24.54</td>
<td valign="top" align="center">2.61</td>
<td valign="top" align="center">6.8</td>
<td valign="top" align="center">6.5</td>
</tr>
<tr>
<td valign="top" align="left">Salinity, psu</td>
<td valign="top" align="center">15.3</td>
<td valign="top" align="center">18.67</td>
<td valign="top" align="center">17.51</td>
<td valign="top" align="center">0.88</td>
<td valign="top" align="center">0.77</td>
<td valign="top" align="center">3.37</td>
</tr>
<tr>
<td valign="top" align="left">Nitrates, mmol m<sup>-3</sup>
</td>
<td valign="top" align="center">3.35</td>
<td valign="top" align="center">207.35</td>
<td valign="top" align="center">49.63</td>
<td valign="top" align="center">65.13</td>
<td valign="top" align="center">4241.58</td>
<td valign="top" align="center">204</td>
</tr>
<tr>
<td valign="top" align="left">Phosphates, mmol m<sup>-3</sup>
</td>
<td valign="top" align="center">0.27</td>
<td valign="top" align="center">16.99</td>
<td valign="top" align="center">2.89</td>
<td valign="top" align="center">2.96</td>
<td valign="top" align="center">8.75</td>
<td valign="top" align="center">16.72</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>According to the NMDS ordination (ANOSIM R = 0.69 and p = 0.0001), the sampling sites, together with the seasonal maxima of the monthly values of the considered environmental variables are segregated into three clearly differentiated clusters (C1, C2 and C3) (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>).</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>NMDS plot of multiyear environmental data by sampling stations.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-09-864214-g005.tif"/>
</fig>
<p>Cluster C1 comprised Ukrainian stations only (1&#x2013;5) where NO<sub>3</sub> concentrations were higher than all other sampling sites (150.6&#x2013;207.3 mmol NO<sub>3</sub> m<sup>-3</sup>). Station 6 (also located in the Ukrainian area) segregated alone due to high NO<sub>3</sub> concentration together with the highest PO<sub>4</sub> concentration (16.99 mmol PO<sub>4</sub> m<sup>-3</sup>). Cluster C2 comprised all the Bulgarian sites sampled in spring and was defined by small ranges of variation of SST (22.14&#x2013;22.94&#xb0;C) and SSS (17.34&#x2013;18.37 PSU) and relatively low NO<sub>3</sub> and PO<sub>4</sub> concentrations (7.62&#x2013;22.04 mmol NO<sub>3</sub> m<sup>-3</sup> and 0.27&#x2013;1.18 mmol PO<sub>4</sub> m<sup>-3</sup>). The third cluster (C3) comprised the Romanian, Turkish, Georgian and Open Sea sites, plus the three Bulgarian sites sampled in the summer of 2013 and was correlated to higher variability of SST (21.59&#x2013;28.09&#xb0;C), SSS (16.05-18.67 PSU), NO<sub>3</sub> (3.35&#x2013;62.57 mmol NO<sub>3</sub> m<sup>-3</sup>) and PO<sub>4</sub> (2.83&#x2013;4.92 mmol PO<sub>4</sub> m<sup>-3</sup>). The segragation of sites into clusters was more strongly related to the nutrient concentrations rather than SST and SSS, which fluctuated within relatively short ranges, suggesting that eutrophication level is most likely acting as a strong selective environmental driver.</p>
<p>Detrended correspondence analysis (DCA) results proved that species abundance data are homogeneous and thus more suitable for linear ordination methods (1<sup>st</sup> ordination axis length is 1.21 in DC units or gradient length is &lt; 3, respectively the most appropriate ordination method is RDA).</p>
<p>Variance Inflation Factors were estimated for environmental variables to test data for multicollinearity and avoid model misinterpretation. RDA provided a statistically significant model (p = 0.001, R<sup>2</sup> = 0.43, <inline-formula>
<mml:math display="inline" id="im1">
<mml:mrow>
<mml:msubsup>
<mml:mtext>R</mml:mtext>
<mml:mrow>
<mml:mtext>adj</mml:mtext>
</mml:mrow>
<mml:mn>2</mml:mn>
</mml:msubsup>
</mml:mrow>
</mml:math>
</inline-formula> = 0.35) with the first two axes explaining roughly 35% of the total variance in morphotype concentrations (RDA1 &#x2013; 26.21%, p = 0.001, and RDA2 &#x2013; 7.14%. p = 0.03). Salinity (p = 0.001), temperature (p = 0.010), phosphates (p = 0.022) and nitrates (p = 0.034) were found to significantly contribute to the variance of cyst concentrations (SSS &#x2013; 10.83%, SST &#x2013; 4.18%, PO<sub>4</sub> and NO<sub>3</sub> with roughly 4% each to the variance explained by RDA1). The RDA triplot (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>) shows that SaM and SaL abundance is strongly associated with SSS, SaS and SaR with SST and NO<sub>3</sub>, while SaU is associated with NO<sub>3</sub> and PO<sub>4</sub> concentrations and SST.</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>RDA Correlation Triplot (scaling type 2 &#x2013; lc) between environmental multiyear explanatory dataset and the corresponding response cysts matrix with fitted site scores.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-09-864214-g006.tif"/>
</fig>
</sec>
</sec>
<sec id="s4">
<title>Discussion</title>
<p>The present study represents one of the largest basin-scale surveys (depth 13.1&#x2013;2100 m) of <italic>Scrippsiella acuminata</italic> (the currently accepted name of <italic>S. trochoidea</italic>) cyst distribution in the Black Sea conducted to this date. As a consequence, a great variability in cysts abundance throughout the study area was observed, both for the whole dinoflagellate encysted community and the <italic>S. acuminata</italic> complex. Even considering the natural variability linked to the different seasons of sampling, the huge amplitude of densities observed (ranging from 5 to 5,981 cysts g<sup>-1</sup> dry weight of sediment for viable forms), most likely could be associated with the different abiotic and biotic conditions occurring within the Black Sea study region, as demonstrated in the recent literature. In a comprehensive study of cysts distribution from 43 samples at water depths of 71&#x2013;905 m on the outer Ukrainian Shelf and upper continental slope, <xref ref-type="bibr" rid="B47">Mudie et&#xa0;al. (2021)</xref> reported the presence of <italic>Scrippsiella</italic> spp. cysts at almost all the investigated sites with densities ranging between 2-89 cysts g<sup>-1</sup> dry weight of sediment. The cysts of <italic>S. acuminata</italic> (as <italic>S. trochoidea</italic>) were recorded at 6 sites only with very low abundance (1&#x2013;10 cysts g<sup>-1</sup> dry weight of sediment) (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). Nikonova (<xref ref-type="bibr" rid="B49">2010</xref>; <xref ref-type="bibr" rid="B50">2015</xref>) found much higher densities (190&#x2013;1,690 cysts g<sup>-1</sup> dry weight of sediment), at three stations in the same area close to those observed in our study (Stations 1, 5 and 6) (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>; <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). Over the investigated 34 sites, our samples recorded a presence of the <italic>S. acuminata</italic> cysts widespread throughout the entire area and particularly higher relative abundance (46 to 100% of <italic>Scrippsiella</italic> viable forms) as compared to the data (less than 5%) documented by <xref ref-type="bibr" rid="B46">Mudie et&#xa0;al. (2017)</xref>. The study of <xref ref-type="bibr" rid="B46">Mudie et&#xa0;al. (2017)</xref> was based on information from different datasets considering data from top 2&#xa0;cm of sediment, similar to the current study. However, the use of hydrochloric acid impose difficulties in the differentiation of the cyst morphotypes of species with organic walls such as <italic>S. trochoidea</italic> (= <italic>S. acuminata</italic>), as highlighted in the paper (<xref ref-type="bibr" rid="B46">Mudie et&#xa0;al., 2017</xref>). Even if the highest densities were detected at the deep open sea stations (up to 4,275 cysts g<sup>-1</sup>), high values were also observed at the coastal stations (up to 2,556 cysts g<sup>-1</sup>) and at some shelf stations, suggesting no distinct pattern of spatial distribution related to depth and/or distance from the coast. Similarly, <xref ref-type="bibr" rid="B47">Mudie et&#xa0;al. (2021)</xref> exploring the relationship to sediment grain size, abiotic and biotic oceanographic parameters, including methanogenesis, found that <italic>Scrippsiella</italic> cysts (mostly cysts of <italic>S. acuminata</italic>) tend to be more abundant at higher depths on the continental slope, but this species could be also dominant on the continental shelf-break around 200&#xa0;m depth.</p>
<p>Cysts identified in surface sediment samples are usually assumed as recently produced in relation to the sedimentary regime of the area. Nevertheless, the natural encysted community represents an integration in time and space of the species encystment/excystment dynamics and consists of different &#x201c;dormancy aged&#x201d; assemblages (<xref ref-type="bibr" rid="B25">Kim and Han, 2000</xref>) expression of different time intervals with a succession of highly variable environmental conditions. They reflect the dominant ecological processes for plankton over several years rather than a seasonal signature (<xref ref-type="bibr" rid="B9">Dale, 1976</xref>), that imposes a further complication to explain dinocyst distribution patterns with environmental specific conditions at the time of sampling (<xref ref-type="bibr" rid="B10">Devillers and de Vernal, 2000</xref>). Taking into account various factors such as sedimentation, sampling method, and amount of bioturbation, <xref ref-type="bibr" rid="B46">Mudie et&#xa0;al. (2017)</xref> estimated that the time span represented by the Black Sea surface sediment samples is between less than five years to a few decades. Therefore, in the present study, environmental multiyear data were used in the statistical analysis, to account for the disparity between the time scale of the cyst record and the time scale of the environmental factors (<xref ref-type="bibr" rid="B57">Ribeiro and Amorim, 2008</xref>; <xref ref-type="bibr" rid="B16">Garc&#xed;a-Moreiras et&#xa0;al., 2021</xref>) and to ensure better approximation of the model linking environmental gradients with cysts abundance data.</p>
<p>In this study, Redundant discriminant analysis (RDA) helped to explore the relationships between the environmental variables and the <italic>S. acuminata</italic> cyst assemblages. All the cysts morphotypes were found to be associated to a single or a combination of environmental variables, confirming that cysts beds are repositories of ecophysiological diversity for the planktonic communities (<xref ref-type="bibr" rid="B58">Ribeiro et&#xa0;al., 2013</xref>). The links revealed by the applied multivariate analyses between temperature, salinity, phosphates, and nitrates and the spatial distribution of cyst morphotypes conform to findings in other studies (e.g., <xref ref-type="bibr" rid="B63">Sala-P&#xe9;rez et&#xa0;al., 2020</xref>); salinity was generally reported to induce primarily variation in cyst process morphology of some Gonyaulacacean dinoflagellate species (e.g., <xref ref-type="bibr" rid="B12">Ellegaard, 2000</xref>; <xref ref-type="bibr" rid="B38">Mertens et&#xa0;al., 2009</xref>). In particular, process length variation has been observed to mostly change with water density (as a function of salinity and temperature) (<xref ref-type="bibr" rid="B37">Mertens et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B35">Mertens et&#xa0;al., 2012a</xref>; <xref ref-type="bibr" rid="B36">Mertens et&#xa0;al., 2012b</xref>). However, other variables have been mentioned as drivers of intraspecific variation, such as water column deoxygenation (<xref ref-type="bibr" rid="B55">Pross, 2001</xref>; <xref ref-type="bibr" rid="B47">Mudie et&#xa0;al., 2021</xref>), temperature and nutrients, associated with intraspecific cyst body size variation (<xref ref-type="bibr" rid="B34">Mertens, 2013</xref>; <xref ref-type="bibr" rid="B45">Mousing et&#xa0;al., 2017</xref>). In our study, the diagnostic of morphological variability of the cyst produced by <italic>S. acuminata</italic> was particularly related to the cyst wall surface structure (calcification and length of the processes), cyst body shape and size. The literature provides contradictory links between nutrients levels and <italic>Scrippsiella</italic> cyst morphotypes. Accordingly, the naked-type (i.e. non-calcified) cysts of <italic>S. acuminata</italic> were perceived as a morphological response to pH in the sediments and it has been suggested that they could be an indicator for eutrophication or acidification (<xref ref-type="bibr" rid="B65">Shin et&#xa0;al., 2013</xref>). On the contrary, <xref ref-type="bibr" rid="B71">Wang et&#xa0;al. (2007)</xref> reported high rates of formation of the naked cyst-type of <italic>S. acuminata</italic> during the bloom and shortly after the bloom, perceived to be related to the cellular nutrient limitation, while <xref ref-type="bibr" rid="B22">Gu et&#xa0;al. (2008)</xref> did not find any effect of nutrients on calcification in laboratory conditions.</p>
<p>Our results suggest that the formation of different morphotypes of cysts of <italic>S. acuminata</italic> complex within the water depths studied is regulated by specific environmental conditions (salinity, temperature, nitrates and phosphates) and even if some morphotypes appeared to have more confined geographical distribution, our data did not explain the existence of explicit ecological niches. The ecological niche theory (<xref ref-type="bibr" rid="B54">Pocheville, 2015</xref>) assumes that differences in species composition among communities are caused by heterogeneity in the environment or by limiting resources and environmental filtering of species according to their environmental requirements, such as climate, oceanographic conditions, both in pelagic and coastal areas, and competition for resources such as nutrients for marine algae, as a result of biotic interactions (<xref ref-type="bibr" rid="B6">Cadotte and Tucker, 2017</xref>).</p>
<p>In order to add new information about the relation between environmental drivers and <italic>S. acuminata</italic> morphotypes a very cautious approach should be used to interpret the data, considering the high cryptic diversity within the <italic>Scrippsiella</italic> species complex (<xref ref-type="bibr" rid="B43">Montresor et&#xa0;al., 2003</xref>). Essentially, the taxonomy of species within <italic>S. acuminata</italic> complex is still quite challenging and problematic. DNA-based results showed the presence of two <italic>S. acuminata</italic> ribotypes in the Romanian Black Sea assigned ambiguously as <italic>S.</italic> cf. <italic>erinaceus</italic> and <italic>S.</italic> aff. <italic>acuminata</italic> (<xref ref-type="bibr" rid="B73">&#x17d;erdoner &#x10c;alasan et&#xa0;al., 2019</xref>). Thus, additional molecular analyses would be vital (<xref ref-type="bibr" rid="B73">&#x17d;erdoner &#x10c;alasan et&#xa0;al., 2019</xref>) to clarify if the morphotypes are ecotypes, produced under distinctive environmental conditions, indicating different survival strategies of a single species (<xref ref-type="bibr" rid="B64">Sgrosso et&#xa0;al., 2001</xref>), or they represent a variety of cryptic species (<xref ref-type="bibr" rid="B74">Zinssmeister et&#xa0;al., 2011</xref>).</p>
<p>We found out that the Black Sea sediments harbor phenotypically diverse seed banks of <italic>S. acuminata</italic> complex as described also in other geographic areas (<xref ref-type="bibr" rid="B43">Montresor et&#xa0;al., 2003</xref>; <xref ref-type="bibr" rid="B22">Gu et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B61">Rubino et&#xa0;al., 2016</xref>; Rubino et&#xa0;al., 2017). Noteworthy, <italic>S. acuminata</italic> morphotypes dominated in the sediment trap sample, collected at 1,000 depth, confirming the high efficiency of the species in cyst production (<xref ref-type="bibr" rid="B42">Montresor et&#xa0;al., 1994</xref>; <xref ref-type="bibr" rid="B70">Wang et&#xa0;al., 2004</xref>; <xref ref-type="bibr" rid="B44">Morozova et&#xa0;al., 2016</xref>). The environmental and hydrodynamic conditions in the water column can influence the resting stage assemblages as species composition and abundance, and the resting stage encystment/excystment dynamics, by coupling the bentho-pelagic compartments (<xref ref-type="bibr" rid="B8">Casabianca et&#xa0;al., 2020</xref>). The conditions leading to bloom seeding and initiation are still not fully understood, although seeding from planktonic populations is considered the most plausible hypothesis (<xref ref-type="bibr" rid="B16">Garc&#xed;a-Moreiras et&#xa0;al., 2021</xref> and the references therein). The high <italic>S. acuminata</italic> complex cyst densities documented in our study suggest the build-up and growth in time of significant cyst beds. They play a crucial role in the dinoflagellate bloom dynamics, seeding the planktonic blooms and refueling the communities in the water column (<xref ref-type="bibr" rid="B27">Kremp, 2001</xref>; <xref ref-type="bibr" rid="B60">Rubino and Belmonte, 2021</xref>). Moreover, they ensure the persistence of the species in the environment, serving as a benthic reservoir of biodiversity (<xref ref-type="bibr" rid="B3">Belmonte and Rubino, 2019</xref>). The geographical spread of <italic>Scrippsiella</italic> blooms in the Black Sea indicates that most likely the interplay between the planktonic and benthic habitat is advantageous and common for <italic>S. acuminata</italic>, allowing it to dominate in the plankton communities and proliferating to bloom densities (<xref ref-type="bibr" rid="B48">Nesterova et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B39">Moncheva et&#xa0;al., 2019</xref>). Outbursts of <italic>S. acuminata</italic> have been observed basin-wide since the &#x2018;70s in abundance ranging between 7.8 x 10<sup>5</sup>&#x2013;125.4 x 10<sup>6</sup> cells/L &#x2013; in Odessa Bay (Ukraine) in 2005 (8.0 x 10<sup>6</sup> cells/L, <xref ref-type="bibr" rid="B68">Terenko and Terenko, 2009</xref>) and Crimea in 2011 (4.4 x 10<sup>6</sup> cells/L, <xref ref-type="bibr" rid="B5">Bryantseva and Gorbunov, 2012</xref>), in Romanian waters (25.8&#x2013;125.4 x 10<sup>6</sup> cells/L in the period 1973&#x2013;2005, <xref ref-type="bibr" rid="B4">Bodeanu, 2002</xref>; <xref ref-type="bibr" rid="B48">Nesterova et&#xa0;al., 2008</xref>), in Varna Bay (Bulgaria) (1.9 x 10<sup>6</sup> cells/L, <xref ref-type="bibr" rid="B40">Moncheva et&#xa0;al., 1995</xref>) in Turkish waters &#x2013; Bay of Sinop (7.8 x 10<sup>5</sup> cells/L during 1995&#x2013;1996, <xref ref-type="bibr" rid="B69">Turkoglu and Koray, 2002</xref>) and Trabson (1.34 x 10<sup>6</sup> cells/L in 2000, <xref ref-type="bibr" rid="B14">Feyzio&#x11f;lu and O&#x11f;ut, 2006</xref>), and in Russian waters (Novorosiysk) (8.6 x 10<sup>6</sup> cells/L in 2005&#x2013;2006, <xref ref-type="bibr" rid="B72">Yasakova, 2010</xref>).</p>
<p>Although the new finding of different cyst morphotypes and ecological affinity to the environmental conditions and regional distribution advances our understanding of <italic>S. acuminata</italic> complex, many uncertainties remain about their ecological role in the benthic seed banks and plankton dynamics above all. Moreover, there are unanswered questions about the persistence and expansion of homogenous/heterogeneous vegetative populations in the water column in relation to the dynamics and distribution of cyst beds in the sediment. Further research focusing on the pelagic/benthic coupling however seems promising for large-scale monitoring and tracking phytoplankton community alterations and climate change effects.</p>
</sec>
<sec id="s5" sec-type="data-availability">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s6" sec-type="author-contributions">
<title>Author Contributions</title>
<p>SM, ND, and IZ conceived the study. ND, SM, FR, and IZ wrote the manuscript. FR and MB analysed the cysts. SM and NS carried out the samplings and organized the research cruises. VS extracted and prepared the environmental data and maps. IZ carried out statistical analyses. All authors commented on the manuscript. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="s7" sec-type="funding-information">
<title>Funding</title>
<p>This study was supported by the National Science Fund, Ministry of Education and Science (MES), Bulgaria under project &#x201c;Phytoplankton cysts &#x2013; an intricacy between a &#x201c;memory&#x201d; or a &#x201c;potential&#x201d; for Black sea biodiversity and algal blooms&#x201d; (Grant number DN01/8, 16.12.2016) and the National Science Program &#x201c;Environmental Protection and Reduction of Risks of Adverse Events and Natural Disasters&#x201d;, approved by the Resolution of the Council of Ministers &#x2116; 577/17.08.2018 and supported by the Ministry of Education and Science (MES) of Bulgaria (Agreement &#x2116; D01-230/06.12.2018).</p>
</sec>
<sec id="s8" sec-type="COI-statement">
<title>Conflict of Interest</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 id="s9" sec-type="disclaimer">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgments</title>
<p>We thank Peta Mudie (NRCan Geological Survey Canada Atlantic) for critically reading an earlier version of the ms, providing valuable comments and many useful suggestions that greatly improved this manuscript.</p>
</ack>
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