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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.2024.1463968</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>Phylogeography of <italic>Labyrinthula</italic> species and strains shows high connectivity and low genetic variation across seagrass hosts and geographic locations in North America</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Pagenkopp Lohan</surname>
<given-names>Katrina M.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>DiMaria</surname>
<given-names>Ruth</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Martin</surname>
<given-names>Daniel L.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1103447"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Hughes</surname>
<given-names>A. Randall</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Peterson</surname>
<given-names>Bradley J.</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Boyer</surname>
<given-names>Katharyn E.</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Stachowicz</surname>
<given-names>John J.</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Jorgensen</surname>
<given-names>Pablo</given-names>
</name>
<xref ref-type="aff" rid="aff7">
<sup>7</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Ruiz</surname>
<given-names>Gregory M.</given-names>
</name>
<xref ref-type="aff" rid="aff8">
<sup>8</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Ross</surname>
<given-names>Cliff</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
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</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Coastal Disease Ecology Laboratory, Smithsonian Environmental Research Center</institution>, <addr-line>Edgewater, MD</addr-line>, <country>United States</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Biology, University of North Florida</institution>, <addr-line>Jacksonville, FL</addr-line>, <country>United States</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Coastal Sustainability Institute, Northeastern University</institution>, <addr-line>Nahant, MA</addr-line>, <country>United States</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>School of Marine and Atmospheric Sciences, Stony Brook University</institution>, <addr-line>Stony Brook, NY</addr-line>, <country>United States</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Estuary &amp; Ocean Science Center, San Francisco State University</institution>, <addr-line>Tiburon, CA</addr-line>, <country>United States</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>Department of Evolution and Ecology, University of California, Davis</institution>, <addr-line>Davis, CA</addr-line>, <country>United States</country>
</aff>
<aff id="aff7">
<sup>7</sup>
<institution>Instituto de Investigaciones Marinas y Costeras (IIMyC-UNMdP-CONICET)</institution>, <addr-line>Mar del Plata, Buenos Aires</addr-line>, <country>Argentina</country>
</aff>
<aff id="aff8">
<sup>8</sup>
<institution>Marine Invasions Research Laboratory, Smithsonian Environmental Research
Center</institution>, <addr-line>Edgewater, MD</addr-line>, <country>United States</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: David William Waite, Ministry for Primary Industries, New Zealand</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Kelly Ugarelli, University of Florida, United States</p>
<p>Georgia Breckell, IGENZ, New Zealand</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Katrina M. Pagenkopp Lohan, <email xlink:href="mailto:lohank@si.edu">lohank@si.edu</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>10</day>
<month>01</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>11</volume>
<elocation-id>1463968</elocation-id>
<history>
<date date-type="received">
<day>12</day>
<month>07</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>11</day>
<month>12</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Pagenkopp Lohan, DiMaria, Martin, Hughes, Peterson, Boyer, Stachowicz, Jorgensen, Ruiz and Ross</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Pagenkopp Lohan, DiMaria, Martin, Hughes, Peterson, Boyer, Stachowicz, Jorgensen, Ruiz and Ross</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>Seagrass wasting disease, caused by parasitic slime nets in the genus <italic>Labyrinthula</italic>, affects seagrasses globally with outbreaks occurring at local to regional scales. Though prior research showed variation in pathogenicity across strains, little is known about the broad-scale diversity and biogeography of <italic>Labyrinthula</italic> species. We used targeted amplicon-based high throughput sequencing (HTS) to examine the phylogeography of <italic>Labyrinthula</italic> species associated with two seagrass hosts (<italic>Zostera marina</italic>, <italic>Thalassia testudinum</italic>) collected from across North America, including locations in the USA and Mexico. After testing 189 seagrass blades from 16 locations across North America, <italic>Labyrinthula</italic> spp. were detected at 14 sites with PCR prevalence ranging from 20 - 100%. We generated 10,936,628 sequences for analyses, which yielded 25 unique <italic>Labyrinthula</italic> amplicon sequence variants (ASVs), which were phylogenetically grouped into three species of <italic>Labyrinthula</italic>. All three species detected were previously identified as pathogenic, indicating that <italic>Labyrinthula</italic> species capable of causing wasting disease are present across these regions, including in locations where disease outbreaks have not been reported. The highest strain level variation was detected in Florida, which is likely due to larger sample sizes from Florida compared to other sampling locations. Assessing the phylogeography of strains was limited by sample size in each location, but indicates that the genetic connectivity of strains appears high, with location and seagrass host being the most important factors explaining the variation in <italic>Labyrinthula</italic> strains detected. The high connectivity, but low overall species diversity of <italic>Labyrinthula</italic>, is consistent with a parasite that is a host generalist. Given the high connectivity of strains and broad geographic range of pathogenic <italic>Labyrinthula</italic> reported here, this study provides valuable insight regarding how parasite diversity impacts seagrass disease.</p>
</abstract>
<kwd-group>
<kwd>slime net</kwd>
<kwd>parasite</kwd>
<kwd>seagrass wasting disease</kwd>
<kwd>
<italic>Labyrinthula zosterae</italic>
</kwd>
<kwd>
<italic>Zostera marina</italic>
</kwd>
<kwd>
<italic>Thalassia testudinium</italic>
</kwd>
<kwd>eelgrass wasting disease</kwd>
<kwd>metabarcode</kwd>
</kwd-group>
<counts>
<fig-count count="6"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="60"/>
<page-count count="12"/>
<word-count count="5607"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Microbial Symbioses</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Seagrasses are a critical foundation species in coastal habitats that create a globally significant carbon stock (<xref ref-type="bibr" rid="B17">Fourqurean et&#xa0;al., 2012</xref>), habitat and nurseries for fish and invertebrates, coastal protection, sediment stabilization, and improved water clarity (<xref ref-type="bibr" rid="B35">Mtwana Nordlund et&#xa0;al., 2016</xref>). Unfortunately, global seagrass declines threaten to decrease the abundance of associated and dependent species (<xref ref-type="bibr" rid="B25">Hughes et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B16">FFWCC, 2021</xref>). Infectious disease is a major cause of seagrass decline, namely mortality and pathology from seagrass wasting disease (SWD). In the 1930s, SWD was the primary cause of mass mortality of the seagrass <italic>Zostera marina</italic> along both coasts of the Atlantic Ocean, resulting in total loss of seagrass beds and their ecosystem functions in some areas (<xref ref-type="bibr" rid="B47">Short et&#xa0;al., 1987</xref>). This infectious disease continues to affect seagrasses globally at local to regional scales (<xref ref-type="bibr" rid="B50">Sullivan et&#xa0;al., 2013</xref>). Though outbreaks are observed globally, we know relatively little about the broad-scale diversity and biogeography of <italic>Labyrinthula</italic> species, the etiological agent of SWD.</p>
<p>The Labyrinthulomycetes are classified under the Super-group Chromalveolata, first rank Stramenopiles, and second rank Labyrinthulomycetes (<xref ref-type="bibr" rid="B1">Adl et&#xa0;al., 2012</xref>), clearly distinguishing them from &#x201c;true fungi&#x201d;; however, they do have characteristics similar to fungi, particularly in their use of a saprotrophic mode of nutrition (<xref ref-type="bibr" rid="B58">Tsui et&#xa0;al., 2009</xref>). Though many slime nets are decomposers in marine environments (<xref ref-type="bibr" rid="B44">Raghukumar and Damare, 2011</xref>), some taxa have adopted a different strategy as parasites. Phylogenetic work of the Labyrinthulomycetes showed that this group consists of three distinct lineages including the thraustochytrids, labyrinthulids, and aplanochytrids (<xref ref-type="bibr" rid="B58">Tsui et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B27">Leander and Porter, 2011</xref>), all of which contain organisms associated with diseases of various hosts (<xref ref-type="bibr" rid="B6">Burge et&#xa0;al., 2013</xref>). Culture independent examinations of diversity across the Labyrinthulomycetes show these taxa are incredibly diverse and ubiquitous within aquatic habitats globally (<xref ref-type="bibr" rid="B42">Pan et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B60">Xie et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B34">Menning et&#xa0;al., 2021</xref>).</p>
<p>Parasites in the genus <italic>Labyrinthula</italic> comprise the monotypic family Labyrinthulaceae (Stramenopiles, Labyrinthulomycetes) (<xref ref-type="bibr" rid="B22">Handley et&#xa0;al., 2007</xref>). Currently, there are only three described species of <italic>Labyrinthula</italic>: <italic>L. zosterae</italic> (<xref ref-type="bibr" rid="B36">Muehlstein et&#xa0;al., 1991</xref>), <italic>L. terrestris</italic> (<xref ref-type="bibr" rid="B3">Bigelow et&#xa0;al., 2005</xref>), and <italic>L. diatomea</italic> (<xref ref-type="bibr" rid="B43">Popova et&#xa0;al., 2020</xref>). However, further culture independent surveys indicate many additional presumed terrestrial and marine species (<xref ref-type="bibr" rid="B8">Chitrampalam et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B31">Martin et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B49">Sullivan et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B56">Trevathan-Tackett et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B43">Popova et&#xa0;al., 2020</xref>), and genetic methods are increasingly being used to delineate species and strain-level taxonomy of <italic>Labyrinthula</italic> across hosts and geographic regions. For example, <xref ref-type="bibr" rid="B8">Chitrampalam et&#xa0;al. (2015)</xref> reported four phylogenetically distinct and thus potentially separate, yet unidentified species of <italic>Labyrinthula</italic> from turfgrass collected in Arizona, USA and New Mexico, USA. <xref ref-type="bibr" rid="B12">Douhan et&#xa0;al. (2009)</xref> found geographically separated isolates from turfgrass consisted of likely additional unidentified species of <italic>Labyrinthula</italic>. Surveys of seagrass species have also yielded evidence of new species of <italic>Labyrinthula</italic>. A global survey to assess and delineate species of <italic>Labyrinthula</italic> revealed between 15&#x2013;20 phylogenetically distinct and likely different species of <italic>Labyrinthula</italic> (<xref ref-type="bibr" rid="B31">Martin et&#xa0;al., 2016</xref>). One major clade in this study consisted of at least 5&#x2013;7 species of <italic>Labyrinthula</italic> that appeared to be pathogenic and specific to seagrasses (<xref ref-type="bibr" rid="B31">Martin et&#xa0;al., 2016</xref>). In a survey of five seagrass species from Australian waters, <xref ref-type="bibr" rid="B56">Trevathan-Tackett et&#xa0;al. (2018)</xref> used phylogenetic analyses to differentiate five presumed species of <italic>Labyrinthula</italic>. Additionally, <xref ref-type="bibr" rid="B40">Pagenkopp Lohan et&#xa0;al. (2020)</xref> previously reported eight presumptive species of <italic>Labyrinthula</italic> associated with multiple species of seagrass in the Indian River Lagoon in Florida. Clearly, the species-level diversity within these taxa remains mostly unexplored.</p>
<p>Much less is known about the sub-species or strain-level genetic variation within <italic>Labyrinthula</italic> species. <xref ref-type="bibr" rid="B12">Douhan et&#xa0;al. (2009)</xref> reported multiple genotypes of <italic>Labyrinthula terrestris</italic> from turf grass, indicating high strain-level variation likely exists within this species. From seagrass hosts, <xref ref-type="bibr" rid="B56">Trevathan-Tackett et&#xa0;al. (2018)</xref> reported 2&#x2013;3 strains for multiple presumed species of <italic>Labyrinthula</italic> from Australia waters. Similarly, <xref ref-type="bibr" rid="B40">Pagenkopp Lohan et&#xa0;al. (2020)</xref> recovered multiple presumed strains (2&#x2013;5 zero-radius operational taxonomic units or ZOTUs) from two of the presumed <italic>Labyrinthula</italic> species detected in Florida waters. Additional strains of <italic>L. zosterae</italic> associated with <italic>Z. marina</italic> are also suspected in the North Pacific, but no phylogenetic evidence exists to confirm strain delineation (<xref ref-type="bibr" rid="B11">Dawkins et&#xa0;al., 2018</xref>). Examining the genetic diversity of this parasite at the species and strain levels is important for linking this sub-species genetic diversity with traits, particularly host specificity and pathogenicity, which experimental data has shown can vary across strains and species of <italic>Labyrinthula</italic> (<xref ref-type="bibr" rid="B31">Martin et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B11">Dawkins et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B56">Trevathan-Tackett et&#xa0;al., 2018</xref>).</p>
<p>We used targeted amplicon-based high throughput sequencing (HTS) of the first internal transcribed spacer region (ITS1) to examine the phylogeography of <italic>Labyrinthula</italic> species and strains associated with two seagrass species collected from both coasts of North America, including the USA and Mexico. Our objectives were to (1) identify species of <italic>Labyrinthula</italic> in North American waters, (2) explore the diversity of <italic>Labyrinthula</italic> species and strains within and across locations and hosts, and (3) examine the genetic connectivity of these species across locations and seagrass hosts. We expected to find high diversity of <italic>Labyrinthula</italic> species within and across locations. We also expected to find high connectivity across these parasites at the species and strain levels across broad geographic locations and hosts.</p>
</sec>
<sec id="s2">
<label>2</label>
<title>Methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Sample collection</title>
<p>Turtlegrass (<italic>Thalassia testudinum</italic>) samples from Florida were collected as described in <xref ref-type="bibr" rid="B40">Pagenkopp Lohan et&#xa0;al. (2020)</xref> and <xref ref-type="bibr" rid="B55">Trevathan-Tackett et&#xa0;al. (2013)</xref>. Eelgrass (<italic>Zostera marina</italic>) samples were collected from 11 sites within the <italic>Zostera</italic> Experimental Network (ZEN; zenscience.org) across Virginia, New York, Massachusetts, California and Mexico (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). Within the seagrass beds, 10 shoots were collected at least 5 m apart from each other. As the goal was to assess the diversity of <italic>Labyrinthula</italic> spp. present, shoots that appeared diseased were preferentially selected when present. The shoot was then cut as close to the rhizome as possible and placed into a plastic bag, which was placed on ice until lab processing. If no lesions were observed, then blades were collected at random and processed in the same manner as those with lesions. In the lab, the blade (often the 3<sup>rd</sup> rank leaf) was separated from the rest of the shoot. The full length of the blade was measured (mm) and epibionts were removed. The disease index score (%) was recorded based on the wasting key index from <xref ref-type="bibr" rid="B5">Burdick et&#xa0;al. (1993)</xref>. Blades were stored in 95% ethanol and shipped to the Smithsonian Environmental Research Center (Edgewater, Maryland) for genetic processing.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>The US state or country, water body and site for the two seagrass species that were collected and sampled in this study.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="bottom" align="center">State/Country</th>
<th valign="bottom" align="center">Water Body</th>
<th valign="bottom" align="center">Site</th>
<th valign="bottom" align="center">Latitude</th>
<th valign="bottom" align="center">Longitude</th>
<th valign="bottom" align="center">Seagrass Species</th>
<th valign="bottom" align="center">Total Samples</th>
<th valign="bottom" align="center">Average Disease Index</th>
<th valign="bottom" align="center">(+) LabyPath ITS1</th>
<th valign="bottom" align="center">PCR Prevalence</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="bottom" align="left" style="background-color:#ffffff">California</td>
<td valign="bottom" align="left" style="background-color:#ffffff">San Francisco Bay</td>
<td valign="bottom" align="left" style="background-color:#ffffff">Point Molate</td>
<td valign="bottom" align="center" style="background-color:#ffffff">37.9466</td>
<td valign="bottom" align="center" style="background-color:#ffffff">-122.4185</td>
<td valign="bottom" align="left" style="background-color:#ffffff">
<italic>Zostera marina</italic>
</td>
<td valign="bottom" align="center" style="background-color:#ffffff">10</td>
<td valign="bottom" align="center" style="background-color:#ffffff">15.1</td>
<td valign="bottom" align="center" style="background-color:#ffffff">4</td>
<td valign="bottom" align="center" style="background-color:#ffffff">
<bold>40.0%</bold>
</td>
</tr>
<tr>
<td valign="bottom" align="left" style="background-color:#ffffff">
</td>
<td valign="bottom" align="left" style="background-color:#ffffff">
</td>
<td valign="bottom" align="left" style="background-color:#ffffff">Point San Pablo</td>
<td valign="bottom" align="center" style="background-color:#ffffff">37.9781</td>
<td valign="bottom" align="center" style="background-color:#ffffff">-122.4059</td>
<td valign="bottom" align="left" style="background-color:#ffffff">
<italic>Zostera marina</italic>
</td>
<td valign="bottom" align="center" style="background-color:#ffffff">10</td>
<td valign="bottom" align="center" style="background-color:#ffffff">14</td>
<td valign="bottom" align="center" style="background-color:#ffffff">8</td>
<td valign="bottom" align="center" style="background-color:#ffffff">
<bold>80.0%</bold>
</td>
</tr>
<tr>
<td valign="bottom" align="left" style="background-color:#ffffff">
</td>
<td valign="bottom" align="left" style="background-color:#ffffff">Tomales Bay</td>
<td valign="bottom" align="left" style="background-color:#ffffff">Sacramento Landing</td>
<td valign="bottom" align="center" style="background-color:#ffffff">38.1496</td>
<td valign="bottom" align="center" style="background-color:#ffffff">-122.9064</td>
<td valign="bottom" align="left" style="background-color:#ffffff">
<italic>Zostera marina</italic>
</td>
<td valign="bottom" align="center" style="background-color:#ffffff">10</td>
<td valign="bottom" align="center" style="background-color:#ffffff">40.9</td>
<td valign="bottom" align="center" style="background-color:#ffffff">9</td>
<td valign="bottom" align="center" style="background-color:#ffffff">
<bold>90.0%</bold>
</td>
</tr>
<tr>
<td valign="bottom" align="left" style="background-color:#ffffff">
</td>
<td valign="bottom" align="left" style="background-color:#ffffff">Bodega Bay</td>
<td valign="bottom" align="left" style="background-color:#ffffff">Westside Park</td>
<td valign="bottom" align="center" style="background-color:#ffffff">38.3198</td>
<td valign="bottom" align="center" style="background-color:#ffffff">-123.0551</td>
<td valign="bottom" align="left" style="background-color:#ffffff">
<italic>Zostera marina</italic>
</td>
<td valign="bottom" align="center" style="background-color:#ffffff">10</td>
<td valign="bottom" align="center" style="background-color:#ffffff">3.8</td>
<td valign="bottom" align="center" style="background-color:#ffffff">6</td>
<td valign="bottom" align="center" style="background-color:#ffffff">
<bold>60.0%</bold>
</td>
</tr>
<tr>
<td valign="bottom" align="left" style="background-color:#ffffff">Mexico</td>
<td valign="bottom" align="left" style="background-color:#ffffff">San Quintin Bay</td>
<td valign="bottom" align="left" style="background-color:#ffffff">MXA (base of the SQ arm)</td>
<td valign="bottom" align="center" style="background-color:#ffffff">30.4197</td>
<td valign="bottom" align="center" style="background-color:#ffffff">-115.9642</td>
<td valign="bottom" align="left" style="background-color:#ffffff">
<italic>Zostera marina</italic>
</td>
<td valign="bottom" align="center" style="background-color:#ffffff">10</td>
<td valign="bottom" align="center" style="background-color:#ffffff">3.9</td>
<td valign="bottom" align="center" style="background-color:#ffffff">6</td>
<td valign="bottom" align="center" style="background-color:#ffffff">
<bold>60.0%</bold>
</td>
</tr>
<tr>
<td valign="bottom" align="left" style="background-color:#ffffff">
</td>
<td valign="bottom" align="left" style="background-color:#ffffff">Punta Banda Estuary</td>
<td valign="bottom" align="left" style="background-color:#ffffff">MXB (Reserva ecol&#xf3;gica)</td>
<td valign="bottom" align="center" style="background-color:#ffffff">31.7585</td>
<td valign="bottom" align="center" style="background-color:#ffffff">-116.6228</td>
<td valign="bottom" align="left" style="background-color:#ffffff">
<italic>Zostera marina</italic>
</td>
<td valign="bottom" align="center" style="background-color:#ffffff">10</td>
<td valign="bottom" align="center" style="background-color:#ffffff">6.3</td>
<td valign="bottom" align="center" style="background-color:#ffffff">0</td>
<td valign="bottom" align="center" style="background-color:#ffffff">0.0%</td>
</tr>
<tr>
<td valign="bottom" align="left" style="background-color:#ffffff">Florida</td>
<td valign="bottom" align="left" style="background-color:#ffffff">Man of War Harbor</td>
<td valign="bottom" align="left" style="background-color:#ffffff">Fleming Island - South</td>
<td valign="bottom" align="center" style="background-color:#ffffff">24.5787</td>
<td valign="bottom" align="center" style="background-color:#ffffff">-81.7995</td>
<td valign="bottom" align="left" style="background-color:#ffffff">
<italic>Thalassia testudinum</italic>
</td>
<td valign="bottom" align="center" style="background-color:#ffffff">19</td>
<td valign="bottom" align="center" style="background-color:#ffffff">unk</td>
<td valign="bottom" align="center" style="background-color:#ffffff">19</td>
<td valign="bottom" align="center" style="background-color:#ffffff">
<bold>100.0%</bold>
</td>
</tr>
<tr>
<td valign="bottom" align="left" style="background-color:#ffffff">
</td>
<td valign="bottom" align="left" style="background-color:#ffffff">
</td>
<td valign="bottom" align="left" style="background-color:#ffffff">Fleming Island - North</td>
<td valign="bottom" align="center" style="background-color:#ffffff">24.5840</td>
<td valign="bottom" align="center" style="background-color:#ffffff">-81.7976</td>
<td valign="bottom" align="left" style="background-color:#ffffff">
<italic>Thalassia testudinum</italic>
</td>
<td valign="bottom" align="center" style="background-color:#ffffff">20</td>
<td valign="bottom" align="center" style="background-color:#ffffff">unk</td>
<td valign="bottom" align="center" style="background-color:#ffffff">20</td>
<td valign="bottom" align="center" style="background-color:#ffffff">
<bold>100.0%</bold>
</td>
</tr>
<tr>
<td valign="bottom" align="left" style="background-color:#ffffff">
</td>
<td valign="bottom" align="left" style="background-color:#ffffff">Bird Key Harbor</td>
<td valign="bottom" align="left" style="background-color:#ffffff">Bush Key</td>
<td valign="bottom" align="center" style="background-color:#ffffff">24.6251</td>
<td valign="bottom" align="center" style="background-color:#ffffff">-82.8658</td>
<td valign="bottom" align="left" style="background-color:#ffffff">
<italic>Thalassia testudinum</italic>
</td>
<td valign="bottom" align="center" style="background-color:#ffffff">20</td>
<td valign="bottom" align="center" style="background-color:#ffffff">unk</td>
<td valign="bottom" align="center" style="background-color:#ffffff">19</td>
<td valign="bottom" align="center" style="background-color:#ffffff">
<bold>95.0%</bold>
</td>
</tr>
<tr>
<td valign="bottom" align="left" style="background-color:#ffffff">
</td>
<td valign="bottom" align="left" style="background-color:#ffffff">Indian River Lagoon</td>
<td valign="bottom" align="left" style="background-color:#ffffff">SMS Dock</td>
<td valign="bottom" align="center" style="background-color:#ffffff">27.4563</td>
<td valign="bottom" align="center" style="background-color:#ffffff">-80.3098</td>
<td valign="bottom" align="left" style="background-color:#ffffff">
<italic>Thalassia testudinum</italic>
</td>
<td valign="bottom" align="center" style="background-color:#ffffff">10</td>
<td valign="bottom" align="center" style="background-color:#ffffff">0.9</td>
<td valign="bottom" align="center" style="background-color:#ffffff">2</td>
<td valign="bottom" align="center" style="background-color:#ffffff">
<bold>20.0%</bold>
</td>
</tr>
<tr>
<td valign="bottom" align="left" style="background-color:#ffffff">
</td>
<td valign="bottom" align="left" style="background-color:#ffffff">
</td>
<td valign="bottom" align="left" style="background-color:#ffffff">Big Island</td>
<td valign="bottom" align="center" style="background-color:#ffffff">27.4643</td>
<td valign="bottom" align="center" style="background-color:#ffffff">-80.3165</td>
<td valign="bottom" align="left" style="background-color:#ffffff">
<italic>Thalassia testudinum</italic>
</td>
<td valign="bottom" align="center" style="background-color:#ffffff">10</td>
<td valign="bottom" align="center" style="background-color:#ffffff">0.1</td>
<td valign="bottom" align="center" style="background-color:#ffffff">2</td>
<td valign="bottom" align="center" style="background-color:#ffffff">
<bold>20.0%</bold>
</td>
</tr>
<tr>
<td valign="bottom" align="left" style="background-color:#ffffff">Virginia</td>
<td valign="bottom" align="left" style="background-color:#ffffff">Chesapeake Bay</td>
<td valign="bottom" align="left" style="background-color:#ffffff">Goodwin Island</td>
<td valign="bottom" align="center" style="background-color:#ffffff">37.2204</td>
<td valign="bottom" align="center" style="background-color:#ffffff">-76.4013</td>
<td valign="bottom" align="left" style="background-color:#ffffff">
<italic>Zostera marina</italic>
</td>
<td valign="bottom" align="center" style="background-color:#ffffff">10</td>
<td valign="bottom" align="center" style="background-color:#ffffff">4.6</td>
<td valign="bottom" align="center" style="background-color:#ffffff">3</td>
<td valign="bottom" align="center" style="background-color:#ffffff">
<bold>30.0%</bold>
</td>
</tr>
<tr>
<td valign="bottom" align="left" style="background-color:#ffffff">New York</td>
<td valign="bottom" align="left" style="background-color:#ffffff">Shinnecock Bay</td>
<td valign="bottom" align="left" style="background-color:#ffffff">Landscape Lab</td>
<td valign="bottom" align="center" style="background-color:#ffffff">40.8576</td>
<td valign="bottom" align="center" style="background-color:#ffffff">-72.4512</td>
<td valign="bottom" align="left" style="background-color:#ffffff">
<italic>Zostera marina</italic>
</td>
<td valign="bottom" align="center" style="background-color:#ffffff">10</td>
<td valign="bottom" align="center" style="background-color:#ffffff">13.7</td>
<td valign="bottom" align="center" style="background-color:#ffffff">0</td>
<td valign="bottom" align="center" style="background-color:#ffffff">0.0%</td>
</tr>
<tr>
<td valign="bottom" align="left" style="background-color:#ffffff">
</td>
<td valign="bottom" align="left" style="background-color:#ffffff">
</td>
<td valign="bottom" align="left" style="background-color:#ffffff">Tiona Beach</td>
<td valign="bottom" align="center" style="background-color:#ffffff">40.8316</td>
<td valign="bottom" align="center" style="background-color:#ffffff">-72.5408</td>
<td valign="bottom" align="left" style="background-color:#ffffff">
<italic>Zostera marina</italic>
</td>
<td valign="bottom" align="center" style="background-color:#ffffff">10</td>
<td valign="bottom" align="center" style="background-color:#ffffff">8.7</td>
<td valign="bottom" align="center" style="background-color:#ffffff">2</td>
<td valign="bottom" align="center" style="background-color:#ffffff">
<bold>20.0%</bold>
</td>
</tr>
<tr>
<td valign="bottom" align="left" style="background-color:#ffffff">Massachusetts</td>
<td valign="bottom" align="left" style="background-color:#ffffff">Nahant Harbor</td>
<td valign="bottom" align="left" style="background-color:#ffffff">Dorothy Cove</td>
<td valign="bottom" align="center" style="background-color:#ffffff">42.4201</td>
<td valign="bottom" align="center" style="background-color:#ffffff">-70.9154</td>
<td valign="bottom" align="left" style="background-color:#ffffff">
<italic>Zostera marina</italic>
</td>
<td valign="bottom" align="center" style="background-color:#ffffff">10</td>
<td valign="bottom" align="center" style="background-color:#ffffff">3.4</td>
<td valign="bottom" align="center" style="background-color:#ffffff">8</td>
<td valign="bottom" align="center" style="background-color:#ffffff">
<bold>80.0%</bold>
</td>
</tr>
<tr>
<td valign="bottom" align="left" style="background-color:#ffffff">
</td>
<td valign="bottom" align="left" style="background-color:#ffffff">Gloucester Harbor</td>
<td valign="bottom" align="left" style="background-color:#ffffff">Niles Beach</td>
<td valign="bottom" align="center" style="background-color:#ffffff">42.597</td>
<td valign="bottom" align="center" style="background-color:#ffffff">-70.6556</td>
<td valign="bottom" align="left" style="background-color:#ffffff">
<italic>Zostera marina</italic>
</td>
<td valign="bottom" align="center" style="background-color:#ffffff">10</td>
<td valign="bottom" align="center" style="background-color:#ffffff">6.7</td>
<td valign="bottom" align="center" style="background-color:#ffffff">7</td>
<td valign="bottom" align="center" style="background-color:#ffffff">
<bold>70.0%</bold>
</td>
</tr>
<tr>
<td valign="bottom" align="left" style="background-color:#ffffff">
</td>
<td valign="bottom" align="left" style="background-color:#ffffff">
</td>
<td valign="bottom" align="left" style="background-color:#ffffff">
</td>
<td valign="bottom" align="center" style="background-color:#ffffff"/>
<td valign="bottom" align="center" style="background-color:#ffffff"/>
<td valign="bottom" align="left" style="background-color:#ffffff">Total</td>
<td valign="bottom" align="center" style="background-color:#ffffff">
<bold>189</bold>
</td>
<td valign="bottom" align="center" style="background-color:#ffffff">
</td>
<td valign="bottom" align="center" style="background-color:#ffffff">
<bold>115</bold>
</td>
<td valign="bottom" align="left" style="background-color:#ffffff">
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Note that the total samples collected is higher for multiple sites in Florida. The number of seagrass blades that were positive and the corresponding prevalence of <italic>Labyrinthula</italic> based on PCR detection is shown. As stated in the text, blades with lesions were preferentially targeted, so prevalence of <italic>Labyrinthula</italic> spp. is likely skewed.</p>
</fn>
<fn>
<p>Bold values indicate when prevalence was greater than 0.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>DNA extraction, amplification, and library preparation</title>
<p>Genetic methods followed those described in <xref ref-type="bibr" rid="B40">Pagenkopp Lohan et&#xa0;al. (2020)</xref>. Briefly, sections of seagrass blades (with lesions when present) were combined with one stainless steel bead and beaten for 2 min at 30 Hz using a TissueLyser (Qiagen, Germantown, Maryland). This process was repeated 1&#x2013;2X until the plant tissue was pulverized. Genomic DNA was extracted from seagrass blades using the Qiagen DNeasy Plant Mini DNA Isolation kit (Qiagen, Germantown, Maryland) following the manufacturer&#x2019;s protocols. All extractions within the same day included a blank extraction, which served as a negative extraction control for PCR. Extraction blanks were treated exactly like samples to identify contaminants that may have been introduced during genetic processing.</p>
<p>A general plant PCR primer set, ITS1-P (T. D. Bruns, <ext-link ext-link-type="uri" xlink:href="https://nature.berkeley.edu/brunslab/tour/primers.html">https://nature.berkeley.edu/brunslab/tour/primers.html</ext-link>) and ITS1-4 (<xref ref-type="bibr" rid="B59">White et&#xa0;al., 1990</xref>), was used to determine if amplifiable DNA was present in the extracted DNAs. PCR reagents consisted of 1X PCR Gold Buffer (150 mM Tris-HCl, pH 8.0; 500 mM KCl; Applied Biosystems, Carlsbad, California), 1.5 mM MgCl2, 0.2 mM dNTP, 0.5 &#x3bc;M each primer, 0.2 mg mL<sup>&#x2212;1</sup> bovine serum albumin (BSA), 0.03 units AmpliTaq Gold polymerase, 1 &#xb5;L of DNA template (DNA concentration ranged from 2.5 &#x2013; 37 ng/&#x3bc;L, with average 8.5 ng/&#x3bc;L and median of 6.5 ng/&#x3bc;L) and water to a final volume of 19 &#x3bc;L. Thermocycling was carried out using a Bio-Rad C1000 or S1000 ThermoCycler with an initial denaturation of 94 &#xb0;C for 10 min; followed by 35 cycles of 94 &#xb0;C for 30 s, 50 &#xb0;C for 1 min, and 72 &#xb0;C for 1 min; and a final extension of 72 &#xb0;C for 5 min. An aliquot of the PCR product (5 &#x3bc;L) was electrophoresed on agarose gel (2% w/v) and visualized under ultraviolet (UV) light after GelRed staining. Only seagrass samples positive for this PCR reaction were subsequently screened for the presence of <italic>Labyrinthula</italic>.</p>
<p>The primers Ill-LabPathITS1-2F and Ill-LabPathITS1-2R (<xref ref-type="bibr" rid="B40">Pagenkopp Lohan et&#xa0;al., 2020</xref>) were used to amplify and sequence ~316 bp fragment of the first internal transcribed spacer region (ITS1) of the ribosomal gene complex. PCR reactions consisted of the following final concentrations: 1X PCR Gold Buffer (150 mM Tris-HCl, pH 8.0; 500 mM KCl; Applied Biosystems, Carlsbad, California), 1.5 mM MgCl<sub>2</sub>, 0.2 mM each nucleotide, 0.3 &#xb5;M each primer, 0.4 mg mL<sup>-1</sup> bovine serum albumin (BSA; New England Biolabs), 0.025 units &#xb5;L<sup>-1</sup> of AmpliTaq Gold polymerase, 3 &#xb5;L of DNA template (DNA concentration ranged from 2.5 &#x2013; 37 ng/&#x3bc;L, with average 8.5 ng/&#x3bc;L and median of 6.5 ng/&#x3bc;L), and water to a final volume of 25 &#xb5;L. Thermocycling was carried out using a C1000 Thermal Cycler (Bio-Rad, Hercules, California). The ITS1 PCR protocol followed an initial denaturation of 95 &#xb0;C for 10 min, 40 cycles of 95 &#xb0;C for 30 s, 53 &#xb0;C for 45 s, 72 &#xb0;C for 45 s and a final elongation of 72 &#xb0;C for 5 min. Assay screening used an aliquot of PCR product (5 &#xb5;L) that was electrophoresed on agarose gel (2% w/v) stained with GelRed (Phenix Research) and visualized under UV light. All PCRs were conducted in triplicate, then triplicate PCR amplicons were pooled for each sample based on gel band intensity.</p>
<p>We used dual-indexing with Nextera adapters using a unique combination for each sample. Indexing PCR reagents consisted of 12.5 &#xb5;L KAPA Ready Mix, 1 &#xb5;L each index (i7 or i5), 1 &#xb5;L amplicon (pooled product), and 9.5 &#xb5;L water for a final reaction volume of 25 &#xb5;L. Thermocycling was carried out with an initial denaturation of 95 &#xb0;C for 5 min, followed by 12 cycles of 98 &#xb0;C for 20 s, 60 &#xb0;C for 45 s, 72 &#xb0;C for 45 s, and a final extension of 72 &#xb0;C for 5 min. To verify that indexing was successful, an aliquot of indexed product and unindexed product were both electrophoresed on agarose gel (2% w/v) stained with GelRed and visualized under UV light. The indexed product was purified with AMPure XP Beads (Beckman-Coulter) following the manufacturer&#x2019;s instructions for 10 &#xb5;L sample reaction volume and 1.5X ratio.&#x202f;The bead-cleaned samples were then quantified using Qubit dsDNA HS Assay Kit (Thermo Fisher Scientific) with a Qubit 2.0 Fluorometer following the manufacturer&#x2019;s instructions. Samples were pooled based on equimolar concentrations into a single library. The final pooled libraries were sequenced using a MiSeq v3 600 Reagent Kit (Illumina) on an Illumina MiSeq platform at the Laboratories of Analytical Biology at the Smithsonian National Museum of Natural History. Raw sequence data were deposited in the Sequence Read Archive (SRA) under BioProject PRJNA1180629.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Bioinformatics</title>
<p>Primer sequences were removed using cutadapt (<xref ref-type="bibr" rid="B32">Martin, 2011</xref>). Sequences were quality trimmed, and merged using the DADA2 package (<xref ref-type="bibr" rid="B7">Callahan et&#xa0;al., 2016</xref>) in R (<xref ref-type="bibr" rid="B53">Team, 2020</xref>). Chimeras were identified and removed using the consensus method in DADA2. Amplicon sequence variants (ASVs) were generated in DADA2. Only sequences between 247&#x2013;261 bp were kept, based on the expected sizes of the fragments as well as the size distribution of sequences. The LULU package (<xref ref-type="bibr" rid="B18">Froslev et&#xa0;al., 2017</xref>) was used with default parameters to further denoise the ITS1 sequences (n = 1,283 ASVs before LULU curation), given that the ITS1 region is known to have high rates of evolution across <italic>Labyrinthula</italic> species (<xref ref-type="bibr" rid="B31">Martin et&#xa0;al., 2016</xref>). The LULU curated ASVs were identified using the Basic Local Alignment Search Tool (BLAST) (<xref ref-type="bibr" rid="B30">Madden, 2002</xref>) within Geneious Primer (San Diego, California) against the NCBI nucleotide (nt/nr) database. One ASV was not identified as <italic>Labyrinthula</italic>, so it was removed from the dataset.</p>
<p>To refine the taxonomy further, the LULU curated ASVs were aligned with sequences from <xref ref-type="bibr" rid="B31">Martin et&#xa0;al. (2016)</xref> using the Clustal Omega plugin (<xref ref-type="bibr" rid="B48">Sievers et&#xa0;al., 2011</xref>) with default parameters in Geneious Prime. We used the online Gblocks server v0.91.1 (<ext-link ext-link-type="uri" xlink:href="https://ngphylogeny.fr">https://ngphylogeny.fr</ext-link>) with the default parameters and allowing half the gaps. For both alignments, we used the online server for the IQTree Model Finder (<xref ref-type="bibr" rid="B37">Nguyen et&#xa0;al., 2015</xref>) to determine the best substitution model for the alignment based on Akaike Information Criterion corrected (AICc) values using the appropriate number of available substitution models for Bayesian analyses. We used MrBayes 3.2.6 plug-in (<xref ref-type="bibr" rid="B24">Huelsenbeck and Ronquist, 2001</xref>) with the following parameters GTR+I+G. <italic>Labyrinthula</italic> species-level designation was assigned based on the clade the sequences were recovered from in the Bayesian tree (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). With taxonomy assigned to the ASVs, the prevalence method in the decontam package (<xref ref-type="bibr" rid="B10">Davis et&#xa0;al., 2018</xref>) was used to explore potential contaminant ASVs from the negative controls. All ASVs were kept as they were at least one, and often additional, orders of magnitude more abundant in samples compared to controls.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Phylogram for <italic>Labyrinthula</italic> spp. constructed using ASVs generated from ITS1 sequences from in this study (in bold) and GenBank sequences. The GTR+I+G substitution model for the Bayesian analysis was used to compute this topology, and posterior probabilities (&gt;90) are included at the nodes. See text for additional details.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-11-1463968-g001.tif"/>
</fig>
<p>Alpha diversity metrics (Chao 1 and Shannon) and taxa barplots were calculated in the phyloseq package (<xref ref-type="bibr" rid="B33">McMurdie and Holmes, 2013</xref>) in R. Principal Coordinate Analysis (PCoA) was conducted in the phyloseq package, using the Jaccard distance method. To assess if <italic>Labyrinthula</italic> communities were significantly different across seagrass host species or geographic regions, we used the vegan package (<xref ref-type="bibr" rid="B38">Okasanen et&#xa0;al., 2014</xref>) in R to create a distance matrix and conduct a permutational analysis of variance (PERMANOVA) using the Jaccard similarity index and 1,000 permutations. We examined the beta dispersion significance to determine the influence of the spread of objects from the centroid. Also within the vegan package, we calculated which ASVs were significantly contributing to the ordination analysis using the envfit function and 1,000 permutations. For all statistical analyses, we use an alpha of 0.05 to determine significance. Rarefaction and completeness curves for ASVs were generated using the iNEXT package with 1,000 bootstraps and an endpoint of 100 (<xref ref-type="bibr" rid="B23">Hsieh et&#xa0;al., 2016</xref>). To create the ASV network, the ASVs generated in this study were aligned using the Clustal Omega plugin (<xref ref-type="bibr" rid="B48">Sievers et&#xa0;al., 2011</xref>) with default parameters in Geneious Prime and terminal gaps were filled in with N bases for those sequences that were shorter than the longest sequence. ASV networks were generated using the TCS algorithm (<xref ref-type="bibr" rid="B9">Clement et&#xa0;al., 2000</xref>) in PopArt (<xref ref-type="bibr" rid="B28">Leigh et&#xa0;al., 2015</xref>).</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<p>In total, we analyzed 189 seagrass blades from 16 locations across five US and one Mexican state (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). <italic>Labyrinthula</italic> spp. were not detected at two locations: Landscape Lab in Shinnecock Bay, New York and Estero Punta Banda in the Punta Banda Estuary, Mexico. Where <italic>Labyrinthula</italic> spp. were detected, PCR prevalence from targeted collection of potentially diseased leaves ranged from 20% (SMS Dock &amp; Big Island, Florida; Tiona Beach, New York) to 100% (Fleming Key, Florida). In general, PCR prevalence was lowest in sites in Virginia and New York, while highest in sites in Florida (Florida Keys and Dry Tortugas), Massachusetts, and central California.</p>
<p>We successfully amplified and sequenced the ITS1 region from 115 blades. In total, 14,206,358 raw reads were generated, which was reduced to 10,936,646 reads after initial filtering, merging, and chimera removal. With the removal of 1) negative control samples, and 2) sequences not identified as <italic>Labyrinthula</italic>, 10,936,628 sequences remained, which after curation through LULU yielded 25 unique <italic>Labyrinthula</italic> ASVs.</p>
<p>Our phylogenetic analyses indicate that these 25 unique ASVs fell into three clades (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). Eight ASVs were assigned to a clade indicating these are strains of <italic>Labyrinthula zosterae</italic>. Two ASVs were identified as <italic>Labyrinthula</italic> sp. &#x201c;D&#x201d;, while 15 ASVs were identified as <italic>Labyrinthula</italic> sp. &#x201c;E&#x201d;. All three of these species of <italic>Labyrinthula</italic> were previously identified as pathogenic (<xref ref-type="bibr" rid="B31">Martin et&#xa0;al., 2016</xref>). <italic>Labyrinthula zosterae</italic> had the highest relative abundance in every location except in Florida, with 97.8% of sequences assigned to this species detected from <italic>Z. marina</italic> from locations outside of Florida (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>; <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). Both <italic>Labyrinthula</italic> sp. &#x201c;E&#x201d; (99.8%, n=211,545 of 211,919 reads) and &#x201c;D&#x201d; (99.8%, n= 6,597,883 of 6,605,370 reads) had the most reads recovered in Florida (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>). This coincides with locations where <italic>Thalassia testudinum</italic> was sampled (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Relative abundance (<bold>A</bold>, defined as the percentage of sequences obtained) and relative occurrence (<bold>B</bold>, defined as the percentage of blades each species was detected from) of each <italic>Labyrinthula</italic> species detected across the US states or country from which the seagrass host was sampled. Note that only <italic>Thalassia testudinum</italic> was collected in Florida and only <italic>Zostera marina</italic> was collected in all other locations.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-11-1463968-g002.tif"/>
</fig>
<p>Narrowing down to the strain level, of the 25 ASVs detected, 13 ASVs were detected in only a single location. Of the 12 ASVs detected in multiple locations (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>), for 7 of those ASVs (i.e., 15, 7, 1, 19, 27, 34, 9), 99% of the sequences were detected in a single location. While <italic>Labyrinthula</italic> sp. &#x201c;E&#x201d; had the highest genetic diversity detected (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>; <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>), 87% of the ASVs (n = 13) were primarily detected in Florida waters (with &gt;99% of sequences of these ASVs detected only in Florida). For the other two ASVs identified as <italic>Labyrinthula</italic> sp. &#x201c;E&#x201d;, most of the sequences (61-81%) were detected from <italic>Z. marina</italic> in California. <italic>Labyrinthula zosterae</italic> had the second highest genetic diversity detected (<xref ref-type="fig" rid="f1">
<bold>Figures&#xa0;1</bold>
</xref>, <xref ref-type="fig" rid="f3">
<bold>3</bold>
</xref>), with the most variability in the distribution of ASVs. Two ASVs were detected only from <italic>T. testudinum</italic> in Florida (ASV531 and ASV11 in Man of War Harbor), while two others were detected only from <italic>Z. marina</italic> in California (ASV663 in San Francisco Bay, ASV745 in Tomales Bay). For the other four ASVs, two were most abundant in Massachusetts, one in California, and one in New York (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>). The ASVs most frequently detected were ASV1 (n = 79 detections), ASV4 (n = 49), ASV3 (n = 40), and ASV9 (n = 30). The Chao 1 and Shannon alpha diversity estimates show similar overall patterns, with the highest ASV richness estimates found in Florida and Massachusetts (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;1</bold>
</xref>). While the relative abundance of these ASVs shows much higher abundance in few locations, the ASV network (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>) shows how these ASVs occur across geographic areas. The ASV network shows 12 haplotypes, as those ASVs with minor differences (e.g., sequence length, gaps) were collapsed for this analysis (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>). Thus, though one <italic>Labyrinthula</italic> species and some strains appear to dominate within each state sampled based on relative abundance, all species occurred in all states sampled with a single exception, <italic>Labyrinthula</italic> sp. &#x201c;D&#x201d; was not detected on <italic>Z. marina</italic> from NY (<xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2B</bold>
</xref>, <xref ref-type="fig" rid="f4">
<bold>4</bold>
</xref>). Additionally, the haplotype network shows two ASVs (one from <italic>Labyrinthula</italic> sp. &#x201c;E&#x201d; and one from <italic>Labyrinthula zosterae</italic>) that occurred in all six regions, indicating high genetic connectivity, though their relative abundance differs across these areas (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Percentage of reads detected across geographic locations from the 12 ASVs that were detected in more than one location. Note that 11 ASVs were detected only in Florida and 2 were detected only in California.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-11-1463968-g003.tif"/>
</fig>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Network analysis for <italic>Labyrinthula</italic> ASVs generated with the PopArt software using sequences generated in this study. Colors indicate locations. Each cross-bar indicates a single nucleotide polymorphism or gap. The proportion of color in pie charts with &gt;1 sequence indicates the proportion of unique sequences.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-11-1463968-g004.tif"/>
</fig>
<p>Community composition of <italic>Labyrinthula</italic> ASVs appears driven by a combination of host species and sampling region (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>). Communities of <italic>Labyrinthula</italic> from some blades of Florida <italic>T. testudinum</italic> appear to separate from all other blades along Axis 1, while communities from other <italic>T. testudinum</italic> blades group with communities on <italic>Z. marina</italic> blades collected from all other North American locations. Upon examining the ASV scores, four ASVs were identified as significantly contributing to the ordination results (ASV1, ASV4, ASV3, ASV2; p&lt;0.01). Despite the apparent delineation of these communities from the Florida blades along Axis 1, further analyses exploring the <italic>Labyrinthula</italic> communities on the blades collected in Florida show that these communities do not consistently group by sampling location in Florida, as blades collected from Key West and the Indian River Lagoon spread across Axis 1, while those from Bush Key are more similar and only spread across Axis 2 (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;2</bold>
</xref>). Communities of <italic>Labyrinthula</italic> from <italic>Z. marina</italic> blades vary across region and coast primarily along Axis 2, with communities from some locations being highly similar (e.g., Virginia, Massachusetts) while others are less similar (e.g., Mexico, California) (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;2</bold>
</xref>). Though three different Bays were sampled in California, the <italic>Labyrinthula</italic> communities on the blades show lots of overlap, particularly communities on blades from Tomales and Bodega Bays, with there being more differentiation between blades from these Bays and those collected in San Francisco Bay (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;2</bold>
</xref>). The variation in <italic>Labyrinthula</italic> ASVs across seagrass host species (PERMANOVA: df = 1, sum of squares = 5.3, <italic>F</italic>
<sub>model</sub> = 18.98, <italic>R</italic>
<sup>2</sup> = 0.14, <italic>p</italic> = 0.001) and across geographic regions (PERMANOVA: df = 5, sum of squares = 9.8, <italic>F</italic>
<sub>model</sub> = 7.8, <italic>R</italic>
<sup>2</sup> = 0.26, <italic>p</italic> = 0.001) were significantly different, with these two parameters explaining ~58% of the variation. Dispersion was significant for host species (F<sub>species</sub> = 24.48, p<sub>species</sub> &lt;0.0001) and geographic regions (F<sub>region</sub> = 18.4, p<sub>region</sub> &lt; 0.0001).</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Principal Coordinate Analysis (PCoA) of <italic>Labyrinthula</italic> communities recovered from seagrass blades. The regions from which the ASVs were detected are noted by color while the seagrass hosts collected are distinguished by shape.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-11-1463968-g005.tif"/>
</fig>
<p>Rarefaction curves generated to assess the limits of the current sampling indicate that none of the sampling in any region was sufficient to detect all the ASVs likely present (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6A</bold>
</xref>). While some of the curves appear close to an asymptote (e.g., New York), the small sample sizes collected in each region require interpreting these curves with caution. Upon extrapolating these curves, most regions require collection of &gt;90 blades to fully assess the ASV diversity within the region (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6B</bold>
</xref>).</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Rarefaction <bold>(A)</bold> and sample completeness <bold>(B)</bold> curves with extrapolation (dashed lines) to assess the number of ASVs detected and predicted based on the number of seagrass blades sampled. The color surrounding the lines is the 95% standard error.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-11-1463968-g006.tif"/>
</fig>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>This is the first North American wide assessment of the phylogeography of <italic>Labyrinthula</italic> species and strains. We detected three species of <italic>Labyrinthula</italic>, represented by 25 ASVs (or strains) at 14 of 16 sites sampled across North America from two seagrass hosts. We detected the highest strain level variation in Florida, which is likely due to larger sample sizes from Florida compared to other sampling locations, but could be a result of higher parasite richness in tropical locations. All three species detected were previously identified as pathogenic, indicating that <italic>Labyrinthula</italic> species capable of causing wasting disease exist across the regions where seagrasses were sampled for this study. While assessing the genetic connectivity among regions was limited by sample sizes, some strains and species appeared more geographically isolated than others, likely due to limited connectivity or rarity of certain strains across sites.</p>
<p>Since the massive epizootic in the Atlantic Ocean during the 1930s (<xref ref-type="bibr" rid="B45">Renn, 1936</xref>), smaller-scale epizootics of SWD have continued to occur around the globe, impacting many seagrass species (<xref ref-type="bibr" rid="B50">Sullivan et&#xa0;al., 2013</xref>). Critical knowledge gaps remain regarding the underlying mechanisms that resulted in such a widespread and devastating epizootic and whether something similar could occur in the future (<xref ref-type="bibr" rid="B51">Sullivan et&#xa0;al., 2018</xref>). Much research has explored the various factors influencing the timing and severity of SWD epizootics. Currently, host demography (<xref ref-type="bibr" rid="B20">Groner et&#xa0;al., 2014</xref>), dosage and strain of parasite (<xref ref-type="bibr" rid="B11">Dawkins et&#xa0;al., 2018</xref>), higher temperature (<xref ref-type="bibr" rid="B4">Bishop et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B21">Groner et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B2">Aoki et&#xa0;al., 2022</xref>), salinity (<xref ref-type="bibr" rid="B54">Trevathan et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B4">Bishop et&#xa0;al., 2017</xref>), hypoxia and sulfide (<xref ref-type="bibr" rid="B4">Bishop et&#xa0;al., 2017</xref>), host immunity (<xref ref-type="bibr" rid="B15">Duffin et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B46">Schenck et&#xa0;al., 2023</xref>), and parasite diversity (<xref ref-type="bibr" rid="B40">Pagenkopp Lohan et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B46">Schenck et&#xa0;al., 2023</xref>) all appear to be important factors to consider for this disease, though some of these factors are more thoroughly studied than others, particularly across geographic locations and host species. Most of these studies used either a single strain (<xref ref-type="bibr" rid="B54">Trevathan et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B4">Bishop et&#xa0;al., 2017</xref>) or did not assess if the disease examined was caused by one or more species or strains of the parasite (<xref ref-type="bibr" rid="B20">Groner et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B15">Duffin et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B21">Groner et&#xa0;al., 2021</xref>). Thus, critical knowledge gaps for understanding this pathosystem include the lack of information about the genetic diversity, phylogeography, and connectivity of these parasites so that the potential variation in disease severity within and across hosts, as well as how these vary across different locations, can be examined.</p>
<p>We detected pathogenic species of <italic>Labyrinthula</italic> in every region and in most sites where seagrasses were sampled, indicating that these parasites are geographically widespread. Our analyses demonstrate that the richness of ASVs detected was significantly correlated with the number of blades tested (R<sup>2</sup> = 0.62, F = 19.8, p = 0.0007; <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;3</bold>
</xref>). Additionally, our rarefaction and network analyses indicate that our data likely underestimate the richness of pathogenic <italic>Labyrinthula</italic> strains infecting <italic>Z. marina</italic> and <italic>T. testudinum</italic> across their ranges. Though these parasites are present, major epizootics have not occurred in many of these locations in decades, or are not known to ever have occurred. Rather, some seagrass beds have experienced localized, smaller scale disease events (<xref ref-type="bibr" rid="B56">Trevathan-Tackett et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B14">Duffin et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B21">Groner et&#xa0;al., 2021</xref>), or lesions are present without evidence of damage to the beds. While many environmental factors are known to impact the severity of seagrass wasting disease, experimental work has shown that many environmental conditions appear to favor the seagrass host while negatively impacting the parasite. For example, <xref ref-type="bibr" rid="B54">Trevathan et&#xa0;al. (2011)</xref> demonstrated that hypersaline conditions had little impact on <italic>T. testudinum</italic>, but negatively impacted the growth of the parasite. While multi-stressor experiments by <xref ref-type="bibr" rid="B4">Bishop et&#xa0;al. (2017)</xref> showed that environmental stressors can more negatively impact the parasite than the seagrass host particularly under ambient conditions, <xref ref-type="bibr" rid="B46">Schenck et&#xa0;al. (2023)</xref> and <xref ref-type="bibr" rid="B13">DuBois et&#xa0;al. (2020)</xref> found that temperature enhanced disease severity. Thus, how biotic and abiotic factors combine to create disease and potentially lead to future epizootics appear context dependent, making understanding how these factors vary across the diversity of species and strains of <italic>Labyrinthula</italic> even more critical to understanding this pathosystem.</p>
<p>The host specificity of <italic>Labyrinthula</italic> spp. has been explored previously and, like the data presented here, prior studies indicated that these parasites are host generalists. For example, <xref ref-type="bibr" rid="B31">Martin et&#xa0;al. (2016)</xref> was able to experimentally inoculate and cause disease in seagrasses of the same species from different geographic locations as well as different seagrass species from different geographic locations from where <italic>Labyrinthula</italic> isolates were obtained, indicating that at least some strains can infect multiple genera of seagrass hosts. <xref ref-type="bibr" rid="B56">Trevathan-Tackett et&#xa0;al. (2018)</xref> similarly experimentally inoculated and caused disease in two different seagrass hosts (<italic>Zostera muelleri</italic> and <italic>Heterozostera nigricaulis</italic>). Additionally, <xref ref-type="bibr" rid="B19">Garcias-Bonet et&#xa0;al. (2011)</xref> experimentally demonstrated that different strains and species of the parasite can infect seagrass hosts across different genera. Similar to <xref ref-type="bibr" rid="B57">Trevizan Segovia et&#xa0;al. (2021)</xref>, we report high connectivity within strains and species, but low overall species diversity of <italic>Labyrinthula</italic>, which is consistent with a parasite generalist. Additionally, though <italic>Z. marina</italic> and <italic>T. testudinum</italic> are ecologically and evolutionarily distinct seagrass species (<xref ref-type="bibr" rid="B26">Larkum et&#xa0;al., 2006</xref>), many <italic>Labyrinthula</italic> ASVs were detected from both seagrass hosts. Despite this high connectivity, one <italic>Labyrinthula</italic> species dominated in relative abundance within each region sampled, further indicating that abiotic factors may be differentially favorable to <italic>Labyrinthula</italic> strains.</p>
<p>In this study, we used a targeted metabarcode approach to assess the intra- and inter-specific diversity of pathogenic <italic>Labyrinthula</italic> species infecting seagrass blades. <italic>Labyrinthula</italic> spp. lack defining morphological characteristics, so previous attempts to define species turned to a phylogenetic approach to tease apart suitable species level delineations (<xref ref-type="bibr" rid="B31">Martin et&#xa0;al., 2016</xref>). We chose to use the same approach here, which has limitations given the lack of a suitable outgroup resulting in an odd tree topology creating a polytomy for <italic>L. zosterae</italic> sequences. More detailed analyses are warranted to truly delineate species across this genus, perhaps even using genome-scale analyses (<xref ref-type="bibr" rid="B52">Tan et&#xa0;al., 2021</xref>). At the intra-specific level, there was a relatively high potential for cross contamination, both in the processing of the blades in the lab and in the library preparation steps. Thus, to mitigate any impacts of this potential contamination, we took several approaches. First, seagrass blades were collected and initially processed (e.g., lesions were removed from blades) primarily by the labs who collected them, making cross-contamination from blades collected from disparate regions extremely unlikely. Next, we used strict laboratory methods to reduce contamination, such as using spin-column extractions and strip tubes with lids, only opening one sample at a time, and working in separate pre- and post-PCR spaces. We also utilized dual-indexing of our amplicons, which can also decrease the likelihood of cross-contamination (<xref ref-type="bibr" rid="B29">MacConaill et&#xa0;al., 2018</xref>). Then, after our initial processing with DADA2, we ended up with 1,283 ASVs. As it was virtually impossible for us to determine if these ASVs resulted from sequencing error or from the hypervariable ITS1 region that was amplified, we included a second denoising step, utilizing the LULU package to compare sequence similarity and occurrence patterns to remove likely erroneous sequences. Given these precautions, we have confidence that our results showing high connectivity and strain and species dominance across geographic locations are unlikely to be solely attributable to sequencing error or cross-contamination.</p>
<p>We present a broad-scale phylogeographic examination of <italic>Labyrinthula</italic> strain and species diversity across North America, providing additional evidence regarding the host generality of this parasite. Yet many questions remain, and future research is needed to examine how the pathogenicity of the <italic>Labyrinthula</italic> species found here vary across these two seagrass hosts. Additionally, future research will need to explore if different strains or species of <italic>Labyrinthula</italic> respond differently in terms of pathogenicity or prevalence under different environmental conditions. Finally, it is unclear how <italic>Labyrinthula</italic> strains and species could be spread across these vast geographic distances, though it is possible that maritime shipping, and specifically ballast water, could play a role in the long-distance dispersal of this parasite. Previous studies have detected labyrinthulids in ships&#x2019; ballast water (<xref ref-type="bibr" rid="B41">Pagenkopp Lohan et&#xa0;al., 2016</xref>, <xref ref-type="bibr" rid="B39">2022</xref>), yet it is unknown whether the parasite survives and is infective following discharge.</p>
</sec>
</body>
<back>
<sec id="s5" sec-type="data-availability">
<title>Data availability statement</title>
<p>The raw sequence data presented in the study are publicly available. This data can be found here: Sequence Read Archive under Bioproject PRJNA1180629.</p>
</sec>
<sec id="s6" sec-type="author-contributions">
<title>Author contributions</title>
<p>KP: Conceptualization, Formal analysis, Funding acquisition, Investigation, Project administration, Supervision, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. RD: Data curation, Investigation, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. DM: Methodology, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. AH: Investigation, Methodology, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. BP: Investigation, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. KB: Investigation, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. JS: Investigation, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. PJ: Investigation, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. GR: Conceptualization, Funding acquisition, Supervision, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. CR: Conceptualization, Funding acquisition, Investigation, Writing &#x2013; original draft, Writing&#xa0;&#x2013; review &amp; editing.</p>
</sec>
<sec id="s7" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was funded through a Grand Challenges grant from the Smithsonian Institution to KP and GR and a National Science Foundation OCE 1652320 to AH. This research was made possible in part by support from the Florida Institute of Oceanography to CR.</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>We would like to thank the following individuals who contributed to the collection and processing of specimens for this study including Diana Chin and Tim Palmer from SUNY Stony Brook University, Forest Schenck from Northeastern University, Stephanie Kiriakopolos from San Francisco State University, Joshua Chow from the University of California at Davis, Clara M. Hereu from the Universidad Aut&#xf3;noma de Baja California, and Shelby Ziegler from the Virginia Institute of Marine Science.</p>
</ack>
<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>
<p>The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.</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>
<sec id="s10" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fmars.2024.1463968/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fmars.2024.1463968/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="SupplementaryFile1.pdf" id="SM1" mimetype="application/pdf"/>
</sec>
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