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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Ecol. Evol.</journal-id>
<journal-title>Frontiers in Ecology and Evolution</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Ecol. Evol.</abbrev-journal-title>
<issn pub-type="epub">2296-701X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fevo.2024.1356987</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Ecology and Evolution</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Trans-Arctic asymmetries, melting pots and weak species cohesion in the low-dispersal amphiboreal seaweed <italic>Fucus distichus</italic>
</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Neiva</surname>
<given-names>Jo&#xe3;o</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>Assis</surname>
<given-names>Jorge</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Fragkopoulou</surname>
<given-names>Eliza</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Pearson</surname>
<given-names>Gareth A.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/113536"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Raimondi</surname>
<given-names>Peter T.</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Anderson</surname>
<given-names>Laura</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Krause-Jensen</surname>
<given-names>Dorte</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/139376"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Marb&#xe0;</surname>
<given-names>N&#xfa;ria</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/68606"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Want</surname>
<given-names>Andrew</given-names>
</name>
<xref ref-type="aff" rid="aff7">
<sup>7</sup>
</xref>
<xref ref-type="aff" rid="aff8">
<sup>8</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2607257"/>
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<contrib contrib-type="author">
<name>
<surname>Selivanova</surname>
<given-names>Olga</given-names>
</name>
<xref ref-type="aff" rid="aff9">
<sup>9</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Nakaoka</surname>
<given-names>Masahiro</given-names>
</name>
<xref ref-type="aff" rid="aff10">
<sup>10</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/745745"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Grant</surname>
<given-names>W. Stewart</given-names>
</name>
<xref ref-type="aff" rid="aff11">
<sup>11</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/683150"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Konar</surname>
<given-names>Brenda</given-names>
</name>
<xref ref-type="aff" rid="aff11">
<sup>11</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Roleda</surname>
<given-names>Michael Y.</given-names>
</name>
<xref ref-type="aff" rid="aff12">
<sup>12</sup>
</xref>
<xref ref-type="aff" rid="aff13">
<sup>13</sup>
</xref>
<xref ref-type="aff" rid="aff14">
<sup>14</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/139814"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Sejr</surname>
<given-names>Mikael K.</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/resources/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Paulino</surname>
<given-names>Cristina</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Serr&#xe3;o</surname>
<given-names>Ester A.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/341826"/>
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</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Centre of Marine Sciences (CCMAR/CIMAR LA), Universidade do Algarve</institution>, <addr-line>Faro</addr-line>, <country>Portugal</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Faculty of Bioscience and Aquaculture, Nord Universitet</institution>, <addr-line>Bod&#xf8;</addr-line>, <country>Norway</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Long Marine Laboratory, University of California, Santa Cruz</institution>, <addr-line>Santa Cruz, CA</addr-line>, <country>United States</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Department of Ecoscience, Aarhus University</institution>, <addr-line>Aarhus C</addr-line>, <country>Denmark</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Arctic Research Centre, Aarhus University</institution>, <addr-line>Aarhus C</addr-line>, <country>Denmark</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>Global Change Research Group, Institut Mediterrani d&#x2019;Estudis Avan&#xe7;ats (IMEDEA, CSIC-UIB)</institution>, <addr-line>Esporles</addr-line>, <country>Spain</country>
</aff>
<aff id="aff7">
<sup>7</sup>
<institution>International Centre for Island Technology, Herriot-Watt University</institution>, <addr-line>Orkney</addr-line>, <country>United Kingdom</country>
</aff>
<aff id="aff8">
<sup>8</sup>
<institution>Energy and Environment Institute, University of Hull</institution>, <addr-line>Hull</addr-line>, <country>United Kingdom</country>
</aff>
<aff id="aff9">
<sup>9</sup>
<institution>Kamchatka Branch of the Pacific Geographical Institute, Far Eastern Division of the Russian Academy of Sciences (KB PGI FEB RAS)</institution>, <addr-line>Petropavlovsk-Kamchatsky</addr-line>, <country>Russia</country>
</aff>
<aff id="aff10">
<sup>10</sup>
<institution>Field Science Center for Northern Biosphere, Akkeshi Marine Station</institution>, <addr-line>Akkeshi</addr-line>, <country>Japan</country>
</aff>
<aff id="aff11">
<sup>11</sup>
<institution>College of Fisheries and Ocean Sciences, University of Alaska Fairbanks</institution>, <addr-line>Juneau, AK</addr-line>, <country>United States</country>
</aff>
<aff id="aff12">
<sup>12</sup>
<institution>Department of Algae Production, Norwegian Institute of Bioeconomy Research (NIBIO)</institution>, <addr-line>&#xc5;s</addr-line>, <country>Norway</country>
</aff>
<aff id="aff13">
<sup>13</sup>
<institution>Division of Food Production and Society, Norwegian Institute of Bioeconomy Research (NIBIO)</institution>, <addr-line>Bod&#xf8;</addr-line>, <country>Norway</country>
</aff>
<aff id="aff14">
<sup>14</sup>
<institution>The Marine Science Institute, College of Science, University of the Philippines</institution>, <addr-line>Quezon&#xa0;City</addr-line>, <country>Philippines</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Christophe William Vieira, Jeju National University, Republic of Korea</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Antonio Flores-Moya, University of Malaga, Spain</p>
<p>Kathryn Schoenrock, University of Galway, Ireland</p>
<p>Narongrit Muangmai, Kasetsart University, Thailand</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Jo&#xe3;o Neiva, <email xlink:href="mailto:jmneiva@ualg.pt">jmneiva@ualg.pt</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>18</day>
<month>04</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>12</volume>
<elocation-id>1356987</elocation-id>
<history>
<date date-type="received">
<day>16</day>
<month>12</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>20</day>
<month>03</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Neiva, Assis, Fragkopoulou, Pearson, Raimondi, Anderson, Krause-Jensen, Marb&#xe0;, Want, Selivanova, Nakaoka, Grant, Konar, Roleda, Sejr, Paulino and Serr&#xe3;o</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Neiva, Assis, Fragkopoulou, Pearson, Raimondi, Anderson, Krause-Jensen, Marb&#xe0;, Want, Selivanova, Nakaoka, Grant, Konar, Roleda, Sejr, Paulino and Serr&#xe3;o</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>Amphiboreal taxa are often composed of vicariant phylogroups and species complexes whose divergence and phylogeographic affinities reflect a shared history of chronic isolation and episodic trans-Arctic dispersal. Ecological filters and shifting selective pressures may also promote selective sweeps, niche shifts and ecological speciation during colonization, but these are seldom considered at biogeographical scales. Here we integrate genetic data and Ecologic Niche Models (ENMs) to investigate the historical biogeography and cohesion of the polymorphic rockweed <italic>Fucus distichus</italic> throughout its immense amphiboreal range, focusing on trans-Arctic asymmetries, glacial/interglacial dynamics, and integrity of sympatric eco-morphotypes. Populations were sampled throughout the Pacific and the Atlantic, from southern rear-edges to the high-Arctic. They were genotyped for seven microsatellites and an mtDNA spacer, and genetic diversity and structure were assessed from global to local scales. ENMs were used to compare niche divergence and magnitude of post-glacial range shifts in Pacific versus Atlantic sub-ranges. Haplotypic and genotypic data revealed distinct and seemingly isolated Pacific vs Arctic/Atlantic gene-pools, with finer-scale regional sub-structuring pervasive in the Pacific. MtDNA diversity was highly structured and overwhelmingly concentrated in the Pacific. Regionally, Alaska showed the highest intra-population diversity but the lowest levels of endemism. Some sympatric/parapatric ecotypes exhibited distinct genotypic/haplotypic compositions. Strikingly, niche models revealed higher Pacific tolerance to maximum temperatures and predicted a much more consolidated presence in the NE Atlantic. Glacial and modern ranges overlapped extensively in the Pacific, whereas the modern Atlantic range was largely glaciated or emerged during the Last Glacial Maximum. Higher genetic and ecogeographic diversity supports a primary Pacific diversification and secondary Atlantic colonization, also likely reflecting the much larger and more stable climatic refugia in the Pacific. The relic distribution and reduced ecological/morphological plasticity in the NE Atlantic are hypothesized to reflect functional trans-Arctic bottlenecks, recent colonization or competition with congeners. Within the Pacific, Alaska showed signatures of a post-glacial melting pot of eastern and southern populations. Genetic/ecotypic variation was generally not sufficiently discontinuous or consistent to justify recognizing multiple taxonomic entities, but support a separate species in the eastern Pacific, at the southern rear-edge. We predict that layered patterns of phylogeographic structure, incipient speciation and niche differences might be common among widespread low-dispersal amphiboreal taxa.</p>
</abstract>
<kwd-group>
<kwd>intertidal</kwd>
<kwd>climate-driven range shifts</kwd>
<kwd>cryptic species</kwd>
<kwd>functional bottleneck</kwd>
<kwd>genetic hotspots and melting pots</kwd>
<kwd>niche unfilling</kwd>
<kwd>trans-Arctic phylogeography</kwd>
</kwd-group>
<counts>
<fig-count count="6"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="97"/>
<page-count count="18"/>
<word-count count="9364"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Evolutionary and Population Genetics</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Following the first opening of the Bering Strait at the end of the Miocene some 5 Ma ago, trans-Arctic interchanges have been regularly occurring between Pacific and Atlantic biotas (<xref ref-type="bibr" rid="B45">Lindstrom, 2001</xref>; <xref ref-type="bibr" rid="B20">Dodson et&#xa0;al., 2007</xref>; <xref ref-type="bibr" rid="B61">Nikula et&#xa0;al., 2007</xref>; <xref ref-type="bibr" rid="B10">C&#xe1;novas et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B32">Hardy et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B71">Saunders and McDevit, 2013</xref>). Throughout the long Pleistocene glaciations (starting 2.5 Ma), however, the Arctic basin and adjacent continents and shorelines were covered with perennial ice-sheets, ice-shelves and sea-ice, making them uninhabitable to coastal species (<xref ref-type="bibr" rid="B21">Dunton, 1992</xref>; <xref ref-type="bibr" rid="B37">Kaufman et&#xa0;al., 2004</xref>; <xref ref-type="bibr" rid="B41">Laakkonen et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B56">Neiva et&#xa0;al., 2018</xref>). Because of lowered sea-levels (down to &#x2212;130 m; <xref ref-type="bibr" rid="B64">Pico et&#xa0;al., 2020</xref>), the Bering Strait (currently at &#x2212;50 m) was also a terrestrial bridge connecting the Eurasian and American continents (Beringia). During interglacial periods, marine transgressions and seasonally ice-free marine routes briefly resume Pacific/Atlantic oceanographic connections (<xref ref-type="bibr" rid="B21">Dunton, 1992</xref>), but for most organisms and for most of the time, the Arctic environment remains a formidable dispersal barrier. Accordingly, most amphiboreal taxa include vicariant phylogroups and species complexes whose systematic and biogeographic affinities reflect such shared history of episodic dispersal against a general background of trans-Arctic isolation (<xref ref-type="bibr" rid="B11">Carr et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B31">Halanych et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B56">Neiva et&#xa0;al., 2018</xref>).</p>
<p>Past the Bering Strait and along marine Arctic routes, key traits (e.g. dispersal ecology, ability to survive extreme Arctic conditions), together with sweepstake events and historical processes, ultimately determine the pool and colonization dynamics of migrants (<xref ref-type="bibr" rid="B32">Hardy et&#xa0;al., 2011</xref>). At infra-specific levels, extreme founder events, genetic surfing, priority effects and selective filters are also predicted to result in important trans-Arctic genetic bottlenecks, but these have seldom been assessed. In the absence of detailed fossil records, species origins have been established under the assumption that older ranges contain higher and more deeply structured genetic diversity than recently colonized ranges (<xref ref-type="bibr" rid="B81">Wares and Cunningham, 2001</xref>; <xref ref-type="bibr" rid="B8">Bringloe and Saunders, 2018</xref>). Differences need careful interpretation, however, as they may also reflect long-term differences in habitat availability and connectivity (e.g. larger climatic refugia, sensu <xref ref-type="bibr" rid="B54">Neiva et&#xa0;al., 2014</xref>) between ocean basins.</p>
<p>Many low-dispersal marine species, notably macroalgae, show important intra-specific geographic trait variation, for instance in physiological tolerance to thermal stress (<xref ref-type="bibr" rid="B51">Mohring et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B69">Saada et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B75">Smolina et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B39">King et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B44">Liesner et&#xa0;al., 2020</xref>), that should also not be overlooked in historical contexts of colonization. If a locally-adapted regional population is the sole source in a long-distance colonization pulse, realized niche/distribution in the establishing range could potentially be a fraction of that in the original range (<xref ref-type="bibr" rid="B34">Holt, 2009</xref>). In the longer-term, chronic isolation and different selective pressures and environments may also promote niche shifts through allopatrically evolved environmental tolerances (e.g. thermal adaptation, fundamental niche shifts) or release/introduction to new biotic constraints (e.g. competition or predation, realized niche shifts) (<xref ref-type="bibr" rid="B82">Wiens and Graham, 2005</xref>; <xref ref-type="bibr" rid="B50">Mitchell et&#xa0;al., 2006</xref>). In a range of invertebrate taxa, correlative models show that (realized) niche differences between eastern Atlantic (putative source) and western Atlantic (putative post-glacial colonization) populations can be negligible (<xref ref-type="bibr" rid="B80">Waltari and Hickerson, 2013</xref>). It remains unassessed, however, whether niche conservatism holds for older vicariant taxa, or for highly structured marine species whose &#x201c;global&#x201d; niche contains distinct evolutionary lineages and multiple specialized niches among local populations.</p>
<p>Glacial&#x2013;interglacial cycles also fuel important range shifts and dissections within oceanic basins. At peripheral range margins, populations and their genetic variation are periodically erased during glacial (high-latitude) and warmer interglacial (low-latitude) extremes. These are often associated with asynchronous range expansions (e.g. post-glacial northward colonizations) at opposite distributional boundaries (<xref ref-type="bibr" rid="B2">Assis et&#xa0;al., 2018a</xref>; <xref ref-type="bibr" rid="B60">Neiva et&#xa0;al., 2016</xref>). At more temperate latitudes, disconnected refugia may allow vicariant subpopulations to persist in the long-term, often producing divergent phylogeographic lineages. During climatic shifts, lineage redistributions lead to secondary contacts, with subsequent outcomes ranging from widespread admixture to stable genetic sectors depending on species dispersal potential and population dynamics. Among low dispersers, genetic breaks can be surprisingly sharp and stable, particularly when large habitat or oceanographic discontinuities, selfing, and strong density-barrier effects are involved (<xref ref-type="bibr" rid="B26">Fraser et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B55">Neiva et&#xa0;al., 2012a</xref>, <xref ref-type="bibr" rid="B60">2016</xref>, <xref ref-type="bibr" rid="B56">2018</xref>; <xref ref-type="bibr" rid="B3">Assis et&#xa0;al., 2016</xref>, <xref ref-type="bibr" rid="B5">2018b</xref>). The stable co-existence of different lineages, particularly when matching distinct morphologic and ecotypic entities, often indicates partial to complete isolation (<xref ref-type="bibr" rid="B78">Tellier et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B52">Montecinos et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B56">Neiva et&#xa0;al., 2018</xref>).</p>
<p>The rockweed <italic>Fucus distichus</italic> Linnaeus 1767 (Fucales, Ochrophyta) is one of the most widespread, polymorphic and ecologically plastic members of the northern hemisphere amphiboreal marine biota (<xref ref-type="bibr" rid="B66">Powell, 1963</xref>; <xref ref-type="bibr" rid="B40">Kucera and Saunders, 2008</xref>). This seaweed is the only member of the family Fucaceae occurring on both sides of the Pacific and the Atlantic, and the one extending deepest into the Arctic. Its wide distribution and ecotypic variation have led to the use of multiple taxonomic entities, particularly in the Atlantic (reviewed in <xref ref-type="bibr" rid="B65">Powell, 1957</xref>, <xref ref-type="bibr" rid="B66">Powell, 1963</xref>). Despite morphological plasticity and even broader range of coastal and estuarine habitats (<xref ref-type="bibr" rid="B40">Kucera and Saunders, 2008</xref>; <xref ref-type="bibr" rid="B58">Neiva et&#xa0;al., 2012b</xref>), all forms in the NE Pacific were lumped into a single geographical taxon, <italic>F. gardneri</italic> P.C. Silva 1953. Molecular work has established the monophyly of <italic>F. distichus</italic> sensu lato and its affinity to <italic>F. serratus</italic>, but so far has consistently failed to resolve any ecotypic/geographic entity as separate species (<xref ref-type="bibr" rid="B72">Serr&#xe3;o et&#xa0;al., 1999</xref>; <xref ref-type="bibr" rid="B16">Coyer et&#xa0;al., 2006</xref>, <xref ref-type="bibr" rid="B17">2011b</xref>; <xref ref-type="bibr" rid="B40">Kucera and Saunders, 2008</xref>; <xref ref-type="bibr" rid="B10">C&#xe1;novas et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B43">Laughinghouse et&#xa0;al., 2015</xref>). Some degree of phylogeographical structure was apparent though, e.g. discriminating Pacific vs Arctic/Atlantic ranges, with higher diversity suggesting a Pacific origin for the taxa.</p>
<p>
<italic>Fucus distichus</italic> is regarded as a cold-adapted taxon, particularly in the Atlantic. The species undeniably thrives throughout Arctic latitudes, withstanding long periods of freezing low-light conditions and intense ice-scouring (<xref ref-type="bibr" rid="B43">Laughinghouse et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B36">Jueterbock et&#xa0;al., 2016</xref>). Its distribution however can extend considerably towards more temperate latitudes. In the NW Atlantic it reaches Massachusetts (Ester Serr&#xe3;o, personal observations) and in the NW Pacific it reaches the northern parts of the Sea of Japan (<xref ref-type="bibr" rid="B85">Yamada, 1980</xref>; <xref ref-type="bibr" rid="B12">Chernova, 2016</xref>), both around <italic>ca</italic>. 41&#x2013;42&#xb0; Lat. By comparison, in the NE Atlantic <italic>F. distichus</italic> (var. <italic>anceps</italic> only) occurs as small disconnected populations restricted to very exposed sites only as far south as western Ireland (<italic>ca</italic>. 52&#xb0; Lat., <xref ref-type="bibr" rid="B65">Powell, 1957</xref>). In the NE Pacific, <italic>F. distichus</italic> occurs much farther south, almost reaching Point Conception in Central California (<italic>ca</italic>. 34.5&#xb0; Lat., present study), suggesting potential niche(s) differences (or niche filling) across disparate oceanic regions.</p>
<p>Incomplete geographic sampling and/or low marker resolution (e.g. IGS/<italic>cox</italic>1 SSCP genotyping, <xref ref-type="bibr" rid="B17">Coyer et&#xa0;al., 2011b</xref>) have so far hindered a full appreciation of the global diversity within the <italic>F. distichus</italic> complex. The NE Pacific coast, particularly California, has never been adequately surveyed, but is hypothesized to represent a genetically-unique, rear-edge climatic refugium as in related <italic>Pelvetiopsis</italic> for which it is a center of relic biodiversity and evolutionary novelty (<xref ref-type="bibr" rid="B59">Neiva et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B76">Sousa et&#xa0;al., 2019</xref>). Regional phylogeographic breaks and &#x201c;melting pots&#x201d; resulting from post-glacial extinction/expansion dynamics and secondary contacts are also expected to have formed throughout the North Pacific and potentially in the high Arctic, but have never been adequately investigated. Finally, the co-occurrence of distinct eco-morphotypes in many shorelines (e.g. <xref ref-type="bibr" rid="B62">Pearson and Brawley, 1996</xref>) raises inevitable but still unanswered questions regarding potential isolating barriers and incipient speciation.</p>
<p>This study uses phylogeographic (mtDNA, microsatellites) and niche-modelling approaches to investigate the biogeographical history, phylogeographic structure and cohesion of polymorphic <italic>F. distichus</italic> at multiple spatial scales throughout its immense amphiboreal range. A range of related topics are examined, including 1) trans-Arctic dispersal/vicariance history, including putative origins and modern contacts; 2) potential trans-Arctic genetic/eco-geographic asymmetries; 3) signatures of potential southern hot-spots vs high-latitude melting pots; and 4) the genetic integrity of local (sympatric/parapatric) eco-types.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and methods</title>
<sec id="s2_1">
<title>Global phylogeography and population structure</title>
<p>Populations of <italic>F. distichus</italic> were sampled on both sides of the Pacific and the Arctic/Atlantic, including the understudied California rear-edge, the trans-Pacific Aleutian Arc, and the Greenland coast. At each site, tissue samples (16 &lt; n &lt; 24) were, whenever possible, collected every other meter along linear transects. Multiple collections were obtained at specific sites (Maine, California, Alaska) where locally distinct eco-morphotypes and/or discontinuous tidal heights were apparent. Genomic DNA was extracted from silica-dried tissue using the Nucleospin 96 Plant II kit (Macherey-Nagel, Germany). Twenty microsatellite loci previously developed for other <italic>Fucus</italic> species (<xref ref-type="bibr" rid="B23">Engel et&#xa0;al., 2003</xref>; <xref ref-type="bibr" rid="B79">Wallace et&#xa0;al., 2004</xref>; <xref ref-type="bibr" rid="B63">Perrin et&#xa0;al., 2007</xref>; <xref ref-type="bibr" rid="B14">Coyer et&#xa0;al., 2009</xref>) were amplified in a geographically diverse panel of populations to assess cross-amplification success and levels of polymorphism (data not shown). The seven most polymorphic microsatellites were selected and used to generate multi-locus genotypes for all individuals of <italic>F. distichus</italic> (see <xref ref-type="supplementary-material" rid="ST1">
<bold>Supplementary Table&#xa0;S1</bold>
</xref> for details). The 23S/trnK mitochondrial intergenic spacer (mtIGS, a marker with good phylogeographic resolution in <italic>Fucus</italic>; <xref ref-type="bibr" rid="B57">Neiva et&#xa0;al., 2010</xref>, <xref ref-type="bibr" rid="B54">2014</xref>; <xref ref-type="bibr" rid="B15">Coyer et&#xa0;al., 2011a</xref>; <xref ref-type="bibr" rid="B43">Laughinghouse et&#xa0;al., 2015</xref>), was screened in the same populations. Amplified fragments were run in an ABI PRISM 3130xl automated capillary sequencer (Applied Biosystems) at CCMAR, Portugal. Microsatellite alleles were manually scored in STRAND (Veterinary Genetics Laboratory, University of California, Davis; <ext-link ext-link-type="uri" xlink:href="http://www.vgl.ucdavis.edu/STRand">http://www.vgl.ucdavis.edu/STRand</ext-link>) using the 500 LIZ size standard (Applied Biosystems). Sequences were aligned and edited with GENEIOUS 4.8 (Biomatters; <ext-link ext-link-type="uri" xlink:href="http://www.geneious.com">http://www.geneious.com</ext-link>).</p>
<p>For microsatellite data, summary statistics of genetic diversity (allele frequency, mean allelic richness [<italic>A</italic>], unbiased gene diversity [<italic>H</italic>
<sub>E</sub>], observed heterozygosity [<italic>H</italic>
<sub>O</sub>] and inbreeding coefficients [<italic>F</italic>
<sub>IS</sub>]) were calculated with GENETIX 4.05 (Laboratoire G&#xe9;nome, Populations, Interactions, Universit&#xe9; de Montpellier II; <ext-link ext-link-type="uri" xlink:href="http://kimura.univ-montp2.fr/genetix">http://kimura.univ-montp2.fr/genetix</ext-link>) and the R package standArich v1.0 (available at <ext-link ext-link-type="uri" xlink:href="http://alberto-lab.blogspot.pt/p/code.html">http://alberto-lab.blogspot.pt/p/code.html</ext-link>). Pairwise population differentiation (Jost&#x2019;s D, Weir and Cockerham&#x2019;s &#x398;) was calculated with the R package DiveRsity 1.9 (<xref ref-type="bibr" rid="B38">Keenan et&#xa0;al., 2013</xref>). Genetic structure was analyzed at multiple spatial scales with STRUCTURE 2.3 (Pritchard Lab, Stanford University; <ext-link ext-link-type="uri" xlink:href="http://pritchardlab.stanford.edu/structure.html">http://pritchardlab.stanford.edu/structure.html</ext-link>) without prior population assignments. A range of assumed population cluster size (<italic>K</italic>, set sequentially from 1 to 8&#x2013;12, depending on the analyses) was run 5 times using a burn-in of 500 000 iterations and a run-length of 1 &#xd7; 10<sup>6</sup> iterations, using the &#x394;<italic>K</italic> criterion (<xref ref-type="bibr" rid="B24">Evanno et&#xa0;al., 2005</xref>) to assist selection of &#x201c;best&#x201d; <italic>K</italic>s. Structure analyses were complemented with factorial correspondence analyses (FCA) implemented in GENETIX.</p>
<p>The genealogic relationships among mtIGS haplotypes were inferred with Network 5 (Fluxus-Engineering; <ext-link ext-link-type="uri" xlink:href="http://www.fluxus-engineering.com/sharenet.htm">http://www.fluxus-engineering.com/sharenet.htm</ext-link>) using the median-joining algorithm, and their geographic distribution and frequency mapped. Haplotype (<italic>H</italic>
<sub>hap</sub>)and nucleotide (&#x398;<sub>&#x3c0;)</sub> diversities were estimated for each population and selected geographical regions using DNASP 6 (Julio Rozas Lab, Universitat de Barcelona; <ext-link ext-link-type="uri" xlink:href="http://www.ub.edu/dnasp/">http://www.ub.edu/dnasp/</ext-link>), the former coding indels as single mutations and the latter discarding indels in pair-wise comparisons only.</p>
</sec>
<sec id="s2_2">
<title>Ecological niche modelling</title>
<p>Ecological niche models (ENMs) were developed with Boosted Regression Trees (BRT; <xref ref-type="bibr" rid="B22">Elith et&#xa0;al., 2008</xref>), a high-performance machine learning algorithm that automatically fits complex interactions and nonlinear relationships between predictor variables, while reducing the potential of overfitting by forcing monotonicity responses (<xref ref-type="bibr" rid="B505">Hofner et&#xa0;al., 2011</xref>) and by optimal parametrization (<xref ref-type="bibr" rid="B22">Elith et&#xa0;al., 2008</xref>). The algorithm fitted georeferenced records of occurrence against biologically meaningful predictor variables for macroalgae species (<xref ref-type="bibr" rid="B25">Fragkopoulou et&#xa0;al., 2022</xref>), namely, nutrients (as nitrate and phosphate), salinity, sea ice thickness and maximum winter and summer sea surface temperatures.</p>
<p>Occurrence records of <italic>F. distichus</italic> were collated from the fine-tuned dataset of marine forests (<xref ref-type="bibr" rid="B4">Assis et&#xa0;al., 2020</xref>) which integrates data from different sources (e.g. databases, literature and herbaria) and uses a flagging system to exclude potentially erroneous entries (e.g. records outside known biogeographical ranges). Because absence records were unavailable at the scale of the study, pseudo-absences were randomly generated using a 1:1 ratio with presence records, in locations with no presences recorded (<xref ref-type="bibr" rid="B502">Barbet-Massin et&#xa0;al., 2012</xref>) and limited to the biogeographical provinces (<xref ref-type="bibr" rid="B77">Spalding et&#xa0;al., 2007</xref>) where the species is known to occur, as well as their neighboring provinces. This allowed restricting pseudo-absences to regions where dispersal can potentially occur, a crucial step of ENM (<xref ref-type="bibr" rid="B508">Martins et&#xa0;al., 2021</xref>). The negative effects of spatial autocorrelation and sampling bias (e.g. regional differences in density of records) were further reduced by randomly choosing one record only from those at distances considered significantly autocorrelated, as estimated by a correlogram testing the spatial variability of predictors as a function of geographic distance (<xref ref-type="bibr" rid="B503">Boavida et&#xa0;al., 2016</xref>). Predictor variables describing sea surface conditions were obtained from Bio-ORACLE v2.1 (<xref ref-type="bibr" rid="B501">Assis et&#xa0;al., 2018c</xref>;  <xref ref-type="bibr" rid="B510">Tyberghein et&#xa0;al., 2012</xref>) for near present-day conditions and for the Last Glacial Maximum (LGM).</p>
<p>A cross-validation (CV) framework using 10-fold latitudinal bands was implemented to tune the optimal parameter combination of BRT and to estimate the performance of the models and their potential transferability in independent data (<xref ref-type="bibr" rid="B2">Assis et&#xa0;al., 2018a</xref>; <xref ref-type="bibr" rid="B507">Krause-Jensen et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B504">Fragkopoulou et&#xa0;al., 2021</xref>). The &#x201c;grid search&#x201d; statistical method interactively tested all possible numbers of trees (range 50&#x2013;1000, step 50), tree complexity (range 1&#x2013;6, step 1) and learning rate (0.01, 0.005 and 0.001), by fitting occurrence records with all but one latitudinal band at a time. At each step, performance was estimated with the area under the curve (AUC). The best combination of BRT parameters was identified as that resulting in models with higher AUC in CV (<xref ref-type="bibr" rid="B2">Assis et&#xa0;al., 2018a</xref>; <xref ref-type="bibr" rid="B507">Krause-Jensen et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B504">Fragkopoulou et&#xa0;al., 2021</xref>). Overfitting was further controlled by forcing monotonic responses based on the expected biological effect of predictors (positive or negative) on the probability of occurrence (<xref ref-type="bibr" rid="B505">Hofner et&#xa0;al., 2011</xref>). Maximum temperatures and ice fitted negative monotonic responses, whereas nutrients and salinity fitted positive responses (e.g. <xref ref-type="bibr" rid="B2">Assis et&#xa0;al., 2018a</xref>; <xref ref-type="bibr" rid="B504">Fragkopoulou et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B508">Martins et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B507">Krause-Jensen et&#xa0;al., 2020</xref>).</p>
<p>ENM were performed using two approaches: (1) species modelling considering the entire amphiboreal range and (2) sub-taxon modelling (i.e. within-taxon niche structure; <xref ref-type="bibr" rid="B3">Assis et&#xa0;al., 2016</xref>), using distinct models for the Pacific and Arctic/Atlantic ranges where differences in evolutionary history, genetic composition and diversity were apparent (see results and discussion sections). Habitat suitability maps for the present and the LGM were produced with a BRT model using the optimal parameters found in CV. These maps were further reclassified to presence and absence (binomial responses) using a threshold maximizing specificity (true negative rate) and sensitivity (true positive rate; <xref ref-type="bibr" rid="B506">Jim&#xe9;nez-Valverde and Lobo, 2007</xref>).</p>
<p>Niche overlap between the Pacific and Arctic/Atlantic ranges was estimated with the Bayesian framework of <xref ref-type="bibr" rid="B509">Swanson et&#xa0;al. (2015)</xref>. This defines the niche of each range as the 95% probability region of the multivariate environmental space defined by ENM, and determined overlap as the probability of an individual from the Pacific being found in the niche of Arctic/Atlantic, and vice-versa. Additionally, physiological tolerance limits for the Pacific and Arctic/Atlantic ranges were captured from partial dependence functions (<xref ref-type="bibr" rid="B22">Elith et&#xa0;al., 2008</xref>).</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Genetic analyses</title>
<p>A total of 31 collections of <italic>Fucus distichus</italic> (590 individuals) were sampled from 16 Pacific and 10 Arctic/Atlantic sites (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>), covering most of the species range in the northern hemisphere. Collections from Alaska (Pirates, Kayak) and Oregon (Bob Creek) contained a few <italic>F. spiralis</italic> L. that were easily recognizable genetically and that were excluded from analyses. Microsatellite polymorphism (f<sub>allele</sub> &gt; 0.005) ranged between 2 and 13 alleles per locus, averaging 6.14.&#xa0;A total of 38 mtIGS haplotypes were detected among the 470 individuals sequenced (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>; <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>; <xref ref-type="supplementary-material" rid="ST2">
<bold>Supplementary Table&#xa0;S2</bold>
</xref>). A subset of 16 haplotypes (&#x2248;42%) accounted for almost 90% of the sequences, while another 14 were sampled only once. Several indels of variable size were apparent (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). Genetic diversity within populations was typically low (<italic>A</italic> &#x2264; 3.2; <italic>H</italic>
<sub>E</sub> &#x2264; 0.41, mean <italic>n</italic>
<sub>hap</sub> &#x2248; 2.15), as most populations were monomorphic (or nearly fixed) at several loci (<xref ref-type="supplementary-material" rid="SF1">
<bold>Supplementary Figure&#xa0;S1</bold>
</xref>, <xref ref-type="supplementary-material" rid="ST2">
<bold>Supplementary Table&#xa0;S2</bold>
</xref>). Nearly all populations exhibited significant heterozygote deficits. Avacha Bay (pop. 23), the only populations showing fixed heterozygosity at locus Fg25 (and hence anomalous positive <italic>F</italic>
<sub>IS</sub> values), also exhibited significant heterozygote deficit when the putative duplicated locus was removed from analyses (data not shown).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Geographic origins and genetic diversities of samples of <italic>Fucus distichus</italic>.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="left">Ocean <break/>site (country)</th>
<th valign="middle" rowspan="2" align="center">Code</th>
<th valign="middle" rowspan="2" align="center">Lat | Lon<break/>(decimal degrees)</th>
<th valign="middle" colspan="6" align="center">Microsatellites</th>
<th valign="middle" colspan="5" align="center">mtIGS</th>
</tr>
<tr>
<th valign="middle" align="center">n</th>
<th valign="middle" align="center">A</th>
<th valign="middle" align="center">A(14)</th>
<th valign="middle" align="center">HE</th>
<th valign="middle" align="center">HO</th>
<th valign="middle" align="center">FIS</th>
<th valign="middle" align="center">n</th>
<th valign="middle" align="left">Haplogroup</th>
<th valign="middle" align="left">Haplotypes</th>
<th valign="middle" align="center">Hhap &#xd7; 10<sup>3</sup>
</th>
<th valign="middle" align="center">&#x3c0; &#xd7; 10<sup>5</sup>
</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="middle" align="left">N Atlantic /Arctic</th>
<th valign="middle" align="center">ATL</th>
<th valign="middle" align="left"/>
<th valign="middle" align="center">234</th>
<th valign="middle" align="center">3.00</th>
<th valign="middle" align="center">3.86</th>
<th valign="middle" align="center">0.269</th>
<th valign="middle" align="center"/>
<th valign="middle" align="center"/>
<th valign="middle" align="center">174</th>
<th valign="middle" align="left">DO,LO</th>
<th valign="middle" align="left">9 haplotypes</th>
<th valign="middle" align="center">723</th>
<th valign="middle" align="center">311</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;1. Kilkee (IE)</td>
<td valign="middle" align="center">IRE</td>
<td valign="middle" align="left">52.6946 | &#x2212;9.6548</td>
<td valign="middle" align="center">16</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">12</td>
<td valign="middle" align="center">DO</td>
<td valign="middle" align="center">D07(12)</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;2. Orkney (UK)</td>
<td valign="middle" align="center">ORK</td>
<td valign="middle" align="left">59.0319 | &#x2212;3.3536</td>
<td valign="middle" align="center">24</td>
<td valign="middle" align="center">1.33</td>
<td valign="middle" align="center">1.35 &#xb1; 0.079</td>
<td valign="middle" align="center">0.091</td>
<td valign="middle" align="center">0.007</td>
<td valign="middle" align="center">0.925&lt;</td>
<td valign="middle" align="center">7</td>
<td valign="middle" align="center">DO</td>
<td valign="middle" align="center">DO1(7)</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;3. Bodo (NO)</td>
<td valign="middle" align="center">BOD</td>
<td valign="middle" align="left">67.2757 | &#x2212;14.5703</td>
<td valign="middle" align="center">24</td>
<td valign="middle" align="center">1.14</td>
<td valign="middle" align="center">1.49 &#xb1; 0.081</td>
<td valign="middle" align="center">0.012</td>
<td valign="middle" align="center">0.000</td>
<td valign="middle" align="center">1.000&lt;</td>
<td valign="middle" align="center">16</td>
<td valign="middle" align="center">DO</td>
<td valign="middle" align="center">DO1(16)</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;4. Young &#x2003;Sound (GL)</td>
<td valign="middle" align="center">YSO</td>
<td valign="middle" align="left">74.2895 | &#x2212;20.2911</td>
<td valign="middle" align="center">24</td>
<td valign="middle" align="center">1.29</td>
<td valign="middle" align="center">1.31 &#xb1; 0.116</td>
<td valign="middle" align="center">0.018</td>
<td valign="middle" align="center">0.018</td>
<td valign="middle" align="center">&#x2212;0.015</td>
<td valign="middle" align="center">16</td>
<td valign="middle" align="center">DO</td>
<td valign="middle" align="center">DO1(15), DO2(1)</td>
<td valign="middle" align="center">125</td>
<td valign="middle" align="center">19</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="left">&#x2003;5. Bristol (US)</td>
<td valign="middle" align="center">PEM-Low</td>
<td valign="middle" align="left">43.8364 | &#x2212;69.5064</td>
<td valign="middle" align="center">16</td>
<td valign="middle" align="center">1.00</td>
<td valign="middle" align="center">1 &#xb1; 0</td>
<td valign="middle" align="center">0.000</td>
<td valign="middle" align="center">0.000</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">16</td>
<td valign="middle" align="center">LO</td>
<td valign="middle" align="center">LO2(16)</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="center">CHA-High</td>
<td valign="middle" align="left">43.8877 | &#x2212;69.4784</td>
<td valign="middle" align="center">16</td>
<td valign="middle" align="center">1.00</td>
<td valign="middle" align="center">1 &#xb1; 0</td>
<td valign="middle" align="center">0.000</td>
<td valign="middle" align="center">0.000</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">16</td>
<td valign="middle" align="center">DO</td>
<td valign="middle" align="center">DO7(16)</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="left">&#x2003;6. Schoodic (US)</td>
<td valign="middle" align="center">SHO-Low</td>
<td valign="middle" align="left">44.3575 | &#x2212;68.0453</td>
<td valign="middle" align="center">24</td>
<td valign="middle" align="center">1.29</td>
<td valign="middle" align="center">1.57 &#xb1; 0</td>
<td valign="middle" align="center">0.070</td>
<td valign="middle" align="center">0.022</td>
<td valign="middle" align="center">0.692&lt;</td>
<td valign="middle" align="center">14</td>
<td valign="middle" align="center">LO</td>
<td valign="middle" align="center">LO2(14)</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="center">SHO-High</td>
<td valign="middle" align="left">44.3361 | &#x2212;68.0540</td>
<td valign="middle" align="center">14</td>
<td valign="middle" align="center">1.14</td>
<td valign="middle" align="center">1.14 &#xb1; 0</td>
<td valign="middle" align="center">0.036</td>
<td valign="middle" align="center">0.042</td>
<td valign="middle" align="center">&#x2212;0.150</td>
<td valign="middle" align="center">16</td>
<td valign="middle" align="center">DO</td>
<td valign="middle" align="center">DO1(12),DO6(4)</td>
<td valign="middle" align="center">400</td>
<td valign="middle" align="center">61</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;7. Loggy Bay (CA)</td>
<td valign="middle" align="center">LBA</td>
<td valign="middle" align="left">47.6510 | &#x2212;52.6830</td>
<td valign="middle" align="center">24</td>
<td valign="middle" align="center">1.57</td>
<td valign="middle" align="center">1.59 &#xb1; 0.112</td>
<td valign="middle" align="center">0.114</td>
<td valign="middle" align="center">0.022</td>
<td valign="middle" align="center">0.812&lt;</td>
<td valign="middle" align="center">16</td>
<td valign="middle" align="center">LO</td>
<td valign="middle" align="center">LO1(16)</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;8. Kobbefjord (GL)</td>
<td valign="middle" align="center">KOB</td>
<td valign="middle" align="left">64.1478 | &#x2212;51.6096</td>
<td valign="middle" align="center">23</td>
<td valign="middle" align="center">1.57</td>
<td valign="middle" align="center">1.86 &#xb1; 0.151</td>
<td valign="middle" align="center">0.182</td>
<td valign="middle" align="center">0.013</td>
<td valign="middle" align="center">0.931&lt;</td>
<td valign="middle" align="center">14</td>
<td valign="middle" align="center">DO</td>
<td valign="middle" align="center">DO1(14)</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;9. Disko Island (GL)</td>
<td valign="middle" align="center">DIS</td>
<td valign="middle" align="left">69.3479 | &#x2212;53.3585</td>
<td valign="middle" align="center">23</td>
<td valign="middle" align="center">1.57</td>
<td valign="middle" align="center">1.80 &#xb1; 0.13</td>
<td valign="middle" align="center">0.211</td>
<td valign="middle" align="center">0.000</td>
<td valign="middle" align="center">1.000&lt;</td>
<td valign="middle" align="center">15</td>
<td valign="middle" align="center">DO</td>
<td valign="middle" align="center">DO1(5),DO3(6),DO5(4)</td>
<td valign="middle" align="center">705</td>
<td valign="middle" align="center">219</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;10. Thule (GL)</td>
<td valign="middle" align="center">THU</td>
<td valign="middle" align="left">77.4666 | &#x2212;69.2261</td>
<td valign="middle" align="center">22</td>
<td valign="middle" align="center">1.14</td>
<td valign="middle" align="center">1.50 &#xb1; 0.075</td>
<td valign="middle" align="center">0.034</td>
<td valign="middle" align="center">0.000</td>
<td valign="middle" align="center">1.000&lt;</td>
<td valign="middle" align="center">16</td>
<td valign="middle" align="center">DO</td>
<td valign="middle" align="center">DO1(7),DO4(1),DO5(8)</td>
<td valign="middle" align="center">592</td>
<td valign="middle" align="center">100</td>
</tr>
<tr>
<th valign="middle" align="left">N Pacific</th>
<th valign="middle" align="center">PAC</th>
<th valign="middle" align="left"/>
<th valign="middle" align="center">356</th>
<th valign="middle" align="center">6.57</th>
<th valign="middle" align="center">6.96 &#xb1; 0.25</th>
<th valign="middle" align="center">0.496</th>
<th valign="middle" align="center"/>
<th valign="middle" align="center"/>
<th valign="middle" align="center">296</th>
<th valign="middle" align="left">R,LG,DG,LB,DB,Y,DY,P</th>
<th valign="middle" align="left">29 haplotypes</th>
<th valign="middle" align="center">923</th>
<th valign="middle" align="center">857</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;11. Stairs (US)</td>
<td valign="middle" align="center">STA</td>
<td valign="middle" align="left">34.7304 | &#x2212;120.6151</td>
<td valign="middle" align="center">16</td>
<td valign="middle" align="center">1.57</td>
<td valign="middle" align="center">1.53 &#xb1; 0.10</td>
<td valign="middle" align="center">0.100</td>
<td valign="middle" align="center">0.018</td>
<td valign="middle" align="center">0.827&lt;</td>
<td valign="middle" align="center">16</td>
<td valign="middle" align="center">R</td>
<td valign="middle" align="center">R1(16)</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="left">&#x2003;12. Pigeon Pt. (US)</td>
<td valign="middle" align="center">PPO-&#x201c;large&#x201d;</td>
<td valign="middle" rowspan="2" align="left">37.1851 | &#x2212;122.3973</td>
<td valign="middle" align="center">16</td>
<td valign="middle" align="center">1.00</td>
<td valign="middle" align="center">1.27 &#xb1; 0.05</td>
<td valign="middle" align="center">0.000</td>
<td valign="middle" align="center">0.000</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">16</td>
<td valign="middle" align="center">R</td>
<td valign="middle" align="center">R1(16)</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="center">PPO-&#x201c;small&#x201d;</td>
<td valign="middle" align="center">16</td>
<td valign="middle" align="center">1.71</td>
<td valign="middle" align="center">2.02 &#xb1; 0.26</td>
<td valign="middle" align="center">0.102</td>
<td valign="middle" align="center">0.000</td>
<td valign="middle" align="center">1.000&lt;</td>
<td valign="middle" align="center">16</td>
<td valign="middle" align="center">R,LG</td>
<td valign="middle" align="center">LG1(15), R(1)</td>
<td valign="middle" align="center">125</td>
<td valign="middle" align="center">173</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;13. Stornetta (US)</td>
<td valign="middle" align="center">STO</td>
<td valign="middle" align="left">38.9379 | &#x2212;123.7290</td>
<td valign="middle" align="center">14</td>
<td valign="middle" align="center">1.29</td>
<td valign="middle" align="center">1.29 &#xb1; 0</td>
<td valign="middle" align="center">0.135</td>
<td valign="middle" align="center">0.000</td>
<td valign="middle" align="center">1.000&lt;</td>
<td valign="middle" align="center">15</td>
<td valign="middle" align="center">LG</td>
<td valign="middle" align="center">LG1(14), LG2(1)</td>
<td valign="middle" align="center">133</td>
<td valign="middle" align="center">20</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;14. Enderts Beach (US)</td>
<td valign="middle" align="center">EBE</td>
<td valign="middle" align="left">41.6900 | &#x2212;124.1426</td>
<td valign="middle" align="center">15</td>
<td valign="middle" align="center">1.14</td>
<td valign="middle" align="center">1.14 &#xb1; 0</td>
<td valign="middle" align="center">0.071</td>
<td valign="middle" align="center">0.000</td>
<td valign="middle" align="center">1.000&lt;</td>
<td valign="middle" align="center">16</td>
<td valign="middle" align="center">LB</td>
<td valign="middle" align="center">LB1(16)</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;15. Cape Meares (US)</td>
<td valign="middle" align="center">CME</td>
<td valign="middle" align="left">45.4718 | &#x2212;123.9722</td>
<td valign="middle" align="center">15</td>
<td valign="middle" align="center">1.29</td>
<td valign="middle" align="center">1.29 &#xb1; 0</td>
<td valign="middle" align="center">0.116</td>
<td valign="middle" align="center">0.000</td>
<td valign="middle" align="center">1.000&lt;</td>
<td valign="middle" align="center">16</td>
<td valign="middle" align="center">DB</td>
<td valign="middle" align="center">DB7(16)</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;16. Lions Bay (CA)</td>
<td valign="middle" align="center">LIO</td>
<td valign="middle" align="left">49.4556 | &#x2212;123.2401</td>
<td valign="middle" align="center">24</td>
<td valign="middle" align="center">2.71</td>
<td valign="middle" align="center">2.56 &#xb1; 0.12</td>
<td valign="middle" align="center">0.371</td>
<td valign="middle" align="center">0.036</td>
<td valign="middle" align="center">0.906&lt;</td>
<td valign="middle" align="center">16</td>
<td valign="middle" align="center">DG</td>
<td valign="middle" align="center">DG2(1),DG3(1),DG4(2),DG5(12)</td>
<td valign="middle" align="center">442</td>
<td valign="middle" align="center">86</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="left">&#x2003;17. Pirates (US)</td>
<td valign="middle" align="center">PIR-High</td>
<td valign="middle" rowspan="2" align="left">56.9866 | &#x2212;135.3775</td>
<td valign="middle" align="center">24</td>
<td valign="middle" align="center">2.43</td>
<td valign="middle" align="center">2.16 &#xb1; 0.17</td>
<td valign="middle" align="center">0.280</td>
<td valign="middle" align="center">0.054</td>
<td valign="middle" align="center">0.812&lt;</td>
<td valign="middle" align="center">16</td>
<td valign="middle" align="center">DB,DG,Y</td>
<td valign="middle" align="center">DB1(4),DB11(1),DG1(2),Y2(9)</td>
<td valign="middle" align="center">642</td>
<td valign="middle" align="center">776</td>
</tr>
<tr>
<td valign="middle" align="center">PIR-Low</td>
<td valign="middle" align="center">24</td>
<td valign="middle" align="center">2.43</td>
<td valign="middle" align="center">2.38 &#xb1; 0.10</td>
<td valign="middle" align="center">0.405</td>
<td valign="middle" align="center">0.042</td>
<td valign="middle" align="center">0.899&lt;</td>
<td valign="middle" align="center">16</td>
<td valign="middle" align="center">DG</td>
<td valign="middle" align="center">DG1(13),DG7(3)</td>
<td valign="middle" align="center">325</td>
<td valign="middle" align="center">98</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="left">&#x2003;18. Point &#x2003;Louisa (US)</td>
<td valign="middle" align="center">LOU-High</td>
<td valign="middle" rowspan="2" align="left">58.3727 | &#x2212;134.7265</td>
<td valign="middle" align="center">12</td>
<td valign="middle" align="center">1.71</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">0.142</td>
<td valign="middle" align="center">0.038</td>
<td valign="middle" align="center">0.742&lt;</td>
<td valign="middle" align="center">12</td>
<td valign="middle" align="center">LB,DB,Y</td>
<td valign="middle" align="center">LB2(1),DB1(2),Y2(4),Y4(5)</td>
<td valign="middle" align="center">742</td>
<td valign="middle" align="center">650</td>
</tr>
<tr>
<td valign="middle" align="center">LOU-Low</td>
<td valign="middle" align="center">12</td>
<td valign="middle" align="center">2.29</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">0.351</td>
<td valign="middle" align="center">0.050</td>
<td valign="middle" align="center">0.863&lt;</td>
<td valign="middle" align="center">12</td>
<td valign="middle" align="center">LB</td>
<td valign="middle" align="center">LB1(10),LB2(1),LB5(1)</td>
<td valign="middle" align="center">318</td>
<td valign="middle" align="center">55</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;19. Cordova (US)</td>
<td valign="middle" align="center">COR</td>
<td valign="middle" align="left">60.5450 | &#x2212;145.7680</td>
<td valign="middle" align="center">24</td>
<td valign="middle" align="center">3.14</td>
<td valign="middle" align="center">2.96 &#xb1; 0.14</td>
<td valign="middle" align="center">0.404</td>
<td valign="middle" align="center">0.077</td>
<td valign="middle" align="center">0.812&lt;</td>
<td valign="middle" align="center">23</td>
<td valign="middle" align="center">LB,DB,Y</td>
<td valign="middle" align="center">DB1(6),DG1(5),Y2(11),Y5(1)</td>
<td valign="middle" align="center">684</td>
<td valign="middle" align="center">788</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;20. Prince &#x2003;Williams (US)</td>
<td valign="middle" align="center">PWS</td>
<td valign="middle" align="left">58.4894 | &#x2212;152.5825</td>
<td valign="middle" align="center">24</td>
<td valign="middle" align="center">3.00</td>
<td valign="middle" align="center">2.92 &#xb1; 0.18</td>
<td valign="middle" align="center">0.375</td>
<td valign="middle" align="center">0.159</td>
<td valign="middle" align="center">0.581&lt;</td>
<td valign="middle" align="center">15</td>
<td valign="middle" align="center">LB,DB,Y</td>
<td valign="middle" align="center">DB2(1),DG1(8),Y2(5),Y3(1)</td>
<td valign="middle" align="center">638</td>
<td valign="middle" align="center">739</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;21. Unalaska, &#x2003;Aleut. (US)</td>
<td valign="middle" align="center">UNA</td>
<td valign="middle" align="left">53.9194 | &#x2212;166.4385</td>
<td valign="middle" align="center">16</td>
<td valign="middle" align="center">2.43</td>
<td valign="middle" align="center">3.16 &#xb1; 0.10</td>
<td valign="middle" align="center">0.265</td>
<td valign="middle" align="center">0.031</td>
<td valign="middle" align="center">0.889&lt;</td>
<td valign="middle" align="center">15</td>
<td valign="middle" align="center">LB,DB,P</td>
<td valign="middle" align="center">LB1(11),DB1(1),P2(3)</td>
<td valign="middle" align="center">448</td>
<td valign="middle" align="center">225</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;22. Adak, &#x2003;Aleutians (US)</td>
<td valign="middle" align="center">ADA</td>
<td valign="middle" align="left">51.8703 | &#x2212;176.6340</td>
<td valign="middle" align="center">24</td>
<td valign="middle" align="center">2.57</td>
<td valign="middle" align="center">2.21 &#xb1; 0.22</td>
<td valign="middle" align="center">0.189</td>
<td valign="middle" align="center">0.071</td>
<td valign="middle" align="center">0.628&lt;</td>
<td valign="middle" align="center">16</td>
<td valign="middle" align="center">Y,P</td>
<td valign="middle" align="center">Y1(2),P2(12),P3(1),P5(1)</td>
<td valign="middle" align="center">442</td>
<td valign="middle" align="center">299</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;23. Avacha &#x2003;Bay (RU)</td>
<td valign="middle" align="center">KAM</td>
<td valign="middle" align="left">52.9328 | 158.6874</td>
<td valign="middle" align="center">24</td>
<td valign="middle" align="center">1.29</td>
<td valign="middle" align="center">1.23 &#xb1; 0.07</td>
<td valign="middle" align="center">0.085</td>
<td valign="middle" align="center">0.143</td>
<td valign="middle" align="center">&#x2212;0.714&gt;</td>
<td valign="middle" align="center">13</td>
<td valign="middle" align="center">Y,P</td>
<td valign="middle" align="center">Y1(13)</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;24. Magalan (RU)</td>
<td valign="middle" align="center">MAG</td>
<td valign="middle" align="left">59.5560 | 150.7773</td>
<td valign="middle" align="center">24</td>
<td valign="middle" align="center">1.57</td>
<td valign="middle" align="center">1.52 &#xb1; 0.21</td>
<td valign="middle" align="center">0.113</td>
<td valign="middle" align="center">0.000</td>
<td valign="middle" align="center">1.000&lt;</td>
<td valign="middle" align="center">15</td>
<td valign="middle" align="center">DY</td>
<td valign="middle" align="center">DY1(8),DY2(1),DY3(6)</td>
<td valign="middle" align="center">600</td>
<td valign="middle" align="center">101</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;25. Akkeshi (JP)</td>
<td valign="middle" align="center">AKK</td>
<td valign="middle" align="left">43.0438 | 144.8368</td>
<td valign="middle" align="center">16</td>
<td valign="middle" align="center">1.57</td>
<td valign="middle" align="center">1.52 &#xb1; 0.10</td>
<td valign="middle" align="center">0.114</td>
<td valign="middle" align="center">0.000</td>
<td valign="middle" align="center">1.000&lt;</td>
<td valign="middle" align="center">16</td>
<td valign="middle" align="center">P</td>
<td valign="middle" align="center">P1(15),P4(1)</td>
<td valign="middle" align="center">125</td>
<td valign="middle" align="center">19</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;26. Erimo (JP)</td>
<td valign="middle" align="center">ERI</td>
<td valign="middle" align="left">42.0160 | 143.1488</td>
<td valign="middle" align="center">16</td>
<td valign="middle" align="center">1.43</td>
<td valign="middle" align="center">1.51 &#xb1; 0.11</td>
<td valign="middle" align="center">0.067</td>
<td valign="middle" align="center">0.000</td>
<td valign="middle" align="center">1.000&lt;</td>
<td valign="middle" align="center">16</td>
<td valign="middle" align="center">P</td>
<td valign="middle" align="center">P1(16)</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">&#x2013;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Countries: IE (Ireland); UK (United Kingdom); NO (Norway); GL (Greenland); US (United States); CA (Canada); RU (Russian Federation); JP (Japan). Diversity indices: n (n&#xb0; of individuals); A (Mean allelic richness); A(14) (Standardized allelic richness); HE (Expected heterozygosity); HO (Observed heterozygosity); FIS (Inbreeding coefficient); Hhap (Haplotype diversity); &#x3c0; (Nucleotide diversity).</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>MtIGS haplotype network of <italic>Fucus distichus</italic>. Different colours and letter codes depict different inferred phylogeographic groups (haplogroups). Haplotypes are represented by circles sized to their frequency. Black dots represent inferred, unsampled haplotypes, whereas black boxes represent indels of variable size. Haplotype labels correspond to haplotype designation in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fevo-12-1356987-g001.tif"/>
</fig>
<p>
<italic>F. distichus</italic> exhibited strong phylogeographic structure. MtIGS haplotypes (Genbank accession numbers PP358930&#x2013;PP359399) formed a complex network of shallow haplotypic radiations corresponding to at least 10 major genetic/geographic discontinuities (<xref ref-type="fig" rid="f1">
<bold>Figures&#xa0;1</bold>
</xref>, <xref ref-type="fig" rid="f2">
<bold>2</bold>
</xref>). Eight of these were endemic to the Pacific and 2 were endemic to the Arctic/Atlantic, i.e. they were never found together. Atlantic haplogroups were genealogically close and they were not more differentiated from Pacific haplogroups than different Pacific haplogroups were between them. Haplogroup DO was widespread throughout both sides of the Atlantic and in the Arctic (encompassing samples originally assigned to <italic>F. distichus s.s.</italic>, <italic>F. anceps</italic>, <italic>F. edentatus</italic> and <italic>F. evanescens</italic>), whereas haplogroup LO was restricted to the cold-temperate NW Atlantic (Maine and Newfoundland, <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>). In Maine (populations 4 and 5), these haplogroups matched two regionally parapatric eco-types &#x2013; LO corresponding to smaller forms from high-intertidal rock-pools (<italic>F. distichus</italic> s.s.-like) and DO to larger forms from the low intertidal (<italic>F. evanescens</italic>-like, <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>, top right). In the NW Pacific and western Aleutians (Adak, pop. 22) only the P, DY (endemic) and Y (shared with Alaska) haplogroups were sampled. All 9 haplotypes detected there were endemic to the region and the majority was restricted to specific populations (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>; <xref ref-type="supplementary-material" rid="ST2">
<bold>Supplementary Table&#xa0;S2</bold>
</xref>). The remaining 5 haplogroups were restricted to the NE Pacific (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>). The LB, DB and DG haplogroups were present in the Mendocinian and Alaska regions, extending into the eastern Aleutians (Unalaska, pop. 21). In the Mendocinian region each haplogroup dominated successively short stretches of coastline, whereas in SE Alaska they co-occurred more extensively (together with the Y haplogroup) at local scales. Remarkably, haplotypic composition among Alaskan populations varied considerably at very local scales, such as among High- vs Low-shore collections at Pirates (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>, bottom centre). Finally, the R and LG haplogroups were endemic to the Montereyan region. In Pigeon Point (pop. 11), these haplogroups matched <italic>a priori</italic> &#x201c;large&#x201d; and &#x201c;small&#x201d; morphological assignments, respectively.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Global phylogeography and regional population genetic structure of <italic>Fucus distichus</italic>. <bold>(A)</bold> Geographic distributions of mtIGS haplogroups in the northern Hemisphere, with pie charts depicting haplotype/haplogroup frequencies at each sampling site (see <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>; <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref> for population and haplotype IDs and colour codes). Orange stars indicate additional locations where DO and LO haplotypes were found in previous studies. The black star depicts the geographic north pole, the pale grey area the Arctic region (sub-Arctic to High-Arctic) according to the <xref ref-type="bibr" rid="B13">Conservation of Arctic Flora and Fauna (2010)</xref>, and the bold black bars the known southern range limits. <bold>(B)</bold> Major microsatellite-based subdivisions in the northern hemisphere (top, <italic>K</italic> = 2) and in three separate regions of the north Pacific (bottom) according to Structure. Each vertical bar represents the proportions of individual multilocus genotypes assigned to each of <italic>K</italic> virtual clusters, as illustrated by the different colours, with the corresponding haplogroup on top. Population codes as in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>. H and L stand for High- and Low-shore bands, S and L for Small and Large ecotype, D and E for &#x201c;<italic>distichus</italic>&#x201d; and &#x201c;<italic>edentatus</italic>&#x201d; haplotypes. Standardized allelic diversity <bold>(A)</bold> and nucleotide diversity (&#x398;<sub>&#x3c0; </sub>= pi) are shown below the Structure plots for four selected regions.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fevo-12-1356987-g002.tif"/>
</fig>
<p>Despite the relatively small global allelic diversity, the Structure analyses separated Arctic/Atlantic and Pacific genotypic clusters (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>, top) with good support (&#x394;<italic>k</italic> = 2922; <xref ref-type="supplementary-material" rid="SF2">
<bold>Supplementary Figure&#xa0;S2</bold>
</xref>). This high-level subdivision was also recovered by the FCA (<xref ref-type="supplementary-material" rid="SF3">
<bold>Supplementary Figure&#xa0;S3</bold>
</xref>). Within the Pacific there was no support for large-scale regional subdivisions (maximum &#x394;<italic>k</italic> &lt; 30; <xref ref-type="supplementary-material" rid="SF2">
<bold>Supplementary Figure&#xa0;S2</bold>
</xref>), to some extent due to low microsatellite allelic diversity and resolution. Finer-scale regional sub-structuring was evident nevertheless when different regions were analyzed separately (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>, bottom). In the NW Pacific and W Aleutians, where most populations exhibited fixed allelic differences in at least one locus (<xref ref-type="supplementary-material" rid="SF1">
<bold>Supplementary Figure&#xa0;S1</bold>
</xref>), recovered genotypic clusters (<italic>K</italic> = 6, &#x394;<italic>k</italic> = 254; <xref ref-type="supplementary-material" rid="SF2">
<bold>Supplementary Figure&#xa0;S2</bold>
</xref>) matched closely single populations (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>, bottom left). The same applied from California to British Columbia, where genotypic clusters (<italic>K</italic> = 6, &#x394;<italic>k</italic> = 370; <xref ref-type="supplementary-material" rid="SF2">
<bold>Supplementary Figure&#xa0;S2</bold>
</xref>) again matched to a large degree specific populations or contiguous population sets (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>, bottom right). Despite local sympatry, &#x201c;large&#x201d; and &#x201c;small&#x201d; morphotypes from Pigeon Point, characterized by different R and LG haplotypes (see above), also matched distinct genotypic groups. Conversely, in SE Alaska, support for 3-5 genotypic clusters was weak (60 &lt; &#x394;<italic>k &lt;</italic>90, <xref ref-type="supplementary-material" rid="SF2">
<bold>Supplementary Figure&#xa0;S2</bold>
</xref>), and these did not consistently match distinct haplogroups, shore-heights, or regional populations (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>, bottom centre). Structure analyses also failed to resolve the two eco-morphotypes/haplogroups from Maine (or any other set of Atlantic populations), even when analyzed alone (&#x394;<italic>k</italic> &lt; 100, <xref ref-type="supplementary-material" rid="SF2">
<bold>Supplementary Figure&#xa0;S2</bold>
</xref>).</p>
<p>Genetic diversity was much higher in the Pacific than in the Atlantic for both microsatellite (<italic>A</italic>
<sub>(234)</sub> = 6.96 vs 3.86) and haplotypic (<italic>n</italic>
<sub>hap</sub> = 29 vs 9, &#x398;<sub>&#x3c0;</sub> &#xd7; 10<sup>5</sup>&#xa0;=&#xa0;857 vs 311) data (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). The Atlantic was also less diverse genetically than any of the Pacific regions considered (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3A, C</bold>
</xref>; <xref ref-type="supplementary-material" rid="ST3">
<bold>Supplementary Table&#xa0;S3</bold>
</xref>). The region between Point Conception (California) and Vancouver (British Columbia), encompassing the Montereyan and Mendocinian biogeographical regions, was (marginally) the most diverse region. Notwithstanding the occurrence of multiple, some quite divergent (e.g. R phylogroup) genetic groups, intra-population diversities were low. Pairwise differentiation, on the other hand, was often large, highlighting the depth of fine-scale spatial structure. Regional diversity in SE Alaska was not obviously larger than in the NW Pacific and western Aleutians, but consistently contained the most diverse populations in the Pacific (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3A&#x2013;C</bold>
</xref>). Diversity was estimated for high and low shore heights at some sites (Pirates, Point Louise), thus underestimating intra-population (=site) diversity. In any case, small D values indicated relatively weak pair-wise differentiation between these diverse populations (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3D</bold>
</xref>). Haplotypic diversity was also large in this region, despite lacking unique haplogroups.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Regional diversity and differentiation in <italic>Fucus distichus</italic>. <bold>(A)</bold> Nei&#x2019;s gene diversity (H<sub>E</sub>); <bold>(B)</bold> haplotypic diversity (<italic>H</italic>
<sub>hap</sub>); <bold>(C)</bold> nucleotidic diversity (&#x3c0; &#xd7; 10<sup>5</sup>) at population (box-plot) and regional (all individuals in each region pooled, black stars) levels; and <bold>(D)</bold> pair-wise population differentiation (Jost D) in each region. Box-plot width is proportional to no. of populations or pairwaise comparisons, and depict the median (horizontal line), the 25<sup>th</sup> and 75<sup>th</sup> percentiles (bottom and top of the box) and the minimum/maximum values (vertical dashed lines).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fevo-12-1356987-g003.tif"/>
</fig>
</sec>
<sec id="s3_2">
<title>Ecological niche modelling</title>
<p>We collated 1283 unique occurrence records for the Pacific and 1015 for the Arctic/Atlantic. The ENMs retrieved high accuracy scores in independent data (i.e. in cross-validation procedure). Specifically, the model developed for the entire amphiboreal range achieved an average <italic>AUC</italic> of 0.829 &#xb1; 0.077, while the models for the Pacific and Arctic/Atlantic achieved an average <italic>AUC</italic> of 0.829 &#xb1; 0.077 and 0.848 &#xb1; 0.13, respectively. The posterior distribution of the probabilistic niche overlap metric between the Atlantic and Pacific groups was 96.24%, while the probability between the Pacific and Atlantic groups was 93.28% (<xref ref-type="supplementary-material" rid="SF4">
<bold>Supplementary Figure&#xa0;S4</bold>
</xref>). Despite the large niche overlap between ranges, physiological limiting points inferred from partial dependency functions differed between groups (<xref ref-type="supplementary-material" rid="SF4">
<bold>Supplementary Table&#xa0;S4</bold>
</xref>), with the niche of the Pacific showing greater thermal tolerance to maximum winter and summer temperatures (1.61&#xb0;C and 1.86&#xb0;C, respectively; <xref ref-type="supplementary-material" rid="SF4">
<bold>Supplementary Table&#xa0;S4</bold>
</xref>; <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Partial dependency functions of Maximum Winter (left) and Summer (right) temperatures in the Atlantic (line) and Pacific (dashed line).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fevo-12-1356987-g004.tif"/>
</fig>
<p>In the Pacific, ENMs over-estimated the distribution of <italic>F. distichus</italic> beyond known range limits in Point Conception (California) and Peter the Great Bay (Russia&#x2019;s Far East), and polewards beyond the Bering Strait into the Chukchi and Beaufort Seas (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5B</bold>
</xref>). In the Arctic/Atlantic, the occurrence of the species was under-estimated in the Canadian Arctic in all models (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5B</bold>
</xref>; <xref ref-type="supplementary-material" rid="SF5">
<bold>Supplementary Figure&#xa0;5</bold>
</xref>). The major mismatch however was in the NE Atlantic, where Ensemble and Pacific ENMs predicted a much more consolidated presence in the British Isles and contiguous French regions of Brittany and Normandy, as well as an isolated pocket in NW Iberia (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5B</bold>
</xref>; <xref ref-type="supplementary-material" rid="SF4">
<bold>Supplementary Figure&#xa0;S5B</bold>
</xref>). The Atlantic ENM over-predicted the occurrence of <italic>F. distichus</italic> only as far south as SW England (Cornwall; <xref ref-type="supplementary-material" rid="SF4">
<bold>Supplementary Figure&#xa0;S5A</bold>
</xref>). Hindcast projections supported a massive latitudinal shift in the potential distribution of <italic>F. distichus</italic> in the Atlantic between the LGM and today (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5A</bold>
</xref>). Suitable climatic conditions in the NW Atlantic would have been restricted to ice-free regions off Virginia to New Jersey and along the then-emerged Grand Banks of Newfoundland. In the NE Atlantic, projections indicated a much more southern and compressed distribution, between western Iberia and the periglacial palaeo-shorelines of the Celtic Sea and western British Isles. Globally, overlap between estimated local LGM and observed present-day distributions was quite restricted, as most of the modern range of <italic>F. distichus</italic> was either glaciated, emerged, or both during the LGM. According to models, latitudinal shifts were much less extensive in the North Pacific. During full glacial conditions, <italic>F. distichus</italic> could have spread from the Korean peninsula and Japan in the western Pacific, and Baja California (Mexico) in the NE Pacific, as far north as the paleo-shorelines of the Beringia Land Bridge. This massive range was probably interrupted to some extent between the eastern Aleutians and Vancouver Island (British Columbia), where the Cordilleran ice-sheet reached the coast. Globally, and unlike in the Atlantic, <italic>F. distichus</italic> still occurs throughout most of its immense glacial range. On the other hand, post-glacial poleward expansions, e.g. past the Bering Strait into the Arctic, have been much more modest.</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Ensemble-Modelled distribution of <italic>Fucus distichus</italic> across glacial cycles. <bold>(A)</bold> Projected distribution during the LGM; <bold>(B)</bold> Projected distribution in the present. Occurrence records are identified as blue (Pacific) and orange (Arctic/Atlantic) dots, modelled ranges are depicted in red, and the star depicts the geographic north pole. In the LGM map, ice-sheets are shown in blue, the thin solid grey line and the thin dashed grey line represent the regressed coastline and the approximate limits of sea-ice, respectively.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fevo-12-1356987-g005.tif"/>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>This study represents the most comprehensive phylogeographic survey to date of a widespread amphiboreal taxon. The extensive geographical sampling on both sides of the Pacific and the Arctic/Atlantic, extending to potential climatic refugia in all temperate regions, and the integration of molecular data (complete mtIGS spacer and 7 microsatellites) with niche modelling, revealed remarkable levels of genetic differentiation at all spatial scales examined and uncovered a multitude of historical and ongoing processes contributing to phylogeographic structure in this intertidal alga.</p>
<sec id="s4_1">
<title>Biogeographic history and trans-Arctic migrations</title>
<p>Globally, <italic>F. distichus</italic> encompasses multiple phylogeographic lineages and microsatellite genotypic clusters within which shallower genetic discontinuities were also pervasive at more local scales. Nested patterns of structuration are common among fucoid seaweeds and other low-dispersal marine organisms (e.g. kelp, direct-developing invertebrates) and typically result from complex, non-equilibrium demographic/genetic processes (e.g. contraction/expansion and isolation/secondary contact dynamics) most commonly associated with Pleistocene climatic shifts (<xref ref-type="bibr" rid="B49">Marko et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B60">Neiva et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B5">Assis et&#xa0;al., 2018b</xref>; <xref ref-type="bibr" rid="B56">Grant and Chenoweth, 2018</xref>, <xref ref-type="bibr" rid="B29">2021</xref>; <xref ref-type="bibr" rid="B28">Grant and Bringloe, 2020</xref>). More striking is the unprecedented level of genetic diversity uncovered. <italic>F. distichus</italic> produced the most complex intra-specific mtIGS network recovered so far among fucoid seaweeds (<xref ref-type="bibr" rid="B57">Neiva et&#xa0;al., 2010</xref>, <xref ref-type="bibr" rid="B54">2014</xref>, <xref ref-type="bibr" rid="B59">2017</xref>), with haplotypic diversity comparable to that of an entire Atlantic radiation comprising 5+ species, including <italic>F. vesiculosus</italic>, <italic>F. spiralis</italic>, <italic>F. guiryi</italic> s.l (i.e. <italic>F. limitaneus</italic> and <italic>F. macroguiryi;</italic> see <xref ref-type="bibr" rid="B10001">Almeida et&#xa0;al., 2022</xref>)<italic>, F. virsoides</italic> and a mtDNA-introgressed lineage of <italic>F. ceranoides</italic> (<xref ref-type="supplementary-material" rid="SF6">
<bold>Supplementary Figure&#xa0;S6</bold>
</xref>). <italic>Fucus distichus</italic> shares its diplontic life-cycle, hermaphroditic mating system, intertidal habitats and dispersal ecology with most of these seaweeds, and was similarly severely impacted by Pleistocene climatic shifts. The exceptional phylogeographic diversity of <italic>F. distichus</italic> therefore seems to be best explained by its distinctive amphiboreal range, as large stable ranges (particularly in the Pacific, see below) offer more opportunities for allopatric divergence and lineage persistence. The greater phylogeographic diversity of circum-boreal <italic>Saccharina latissima</italic> s.l. vs NW Pacific endemic <italic>S. japonica</italic> supports this prediction (<xref ref-type="bibr" rid="B87">Zhang et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B56">Neiva et&#xa0;al., 2018</xref>), and additional studies may confirm the generality of the pattern.</p>
<p>Phylogeographic and genotypic diversities were extremely skewed towards the Pacific, supporting the view that <italic>F. distichus</italic> diversified primarily in the Pacific and that its Arctic/Atlantic range was colonized more recently (e.g. <xref ref-type="bibr" rid="B17">Coyer et&#xa0;al., 2011b</xref>). Different haplogroup compositions indicate nevertheless that Atlantic colonization pre-dates the last (de)glaciation, which is consistent with patterns of (nuclear) trans-Arctic divergence (<xref ref-type="bibr" rid="B10">C&#xe1;novas et&#xa0;al., 2011</xref>). It should be noted that Pacific and Arctic/Atlantic haplogroups were never found co-occurring throughout the Arctic basin, including along known dispersal pathways in the Canadian Arctic and eastern Greenland (<xref ref-type="bibr" rid="B8">Bringloe and Saunders, 2018</xref>; <xref ref-type="bibr" rid="B56">Neiva et&#xa0;al., 2018</xref>). Unlike the Atlantic side, where <italic>F. distichus</italic> post-glacial expansions reached the Canadian Arctic and Russia&#x2019;s Novaya Zemlya archipelago (e.g. <xref ref-type="bibr" rid="B46">Lobus and Udalov, 2021</xref>, the latter not genetically confirmed), lack of reports suggest a much more limited post-glacial Pacific expansion past the Bering Strait into the adjacent Laptev, East Siberian and Beauford seas (<xref ref-type="bibr" rid="B84">Wulff et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B83">Wilce and Dunton, 2014</xref>). Limited availability of intertidal hard substrata, low summer temperatures (&lt;5&#xb0;C) and reduced salinity concentrations in some Arctic seas may help explain this asymmetry (<xref ref-type="bibr" rid="B36">Jueterbock et&#xa0;al., 2016</xref>), but the limiting factors (and actual extent) of post-glacial Arctic colonization from the Pacific should be further clarified.</p>
<p>It is interesting to note that most genera of brown macroalgae with amphiboreal representatives, including several large brown (e.g. <italic>Chorda</italic>, <italic>Alaria</italic> and <italic>Saccharina</italic>) and Arctic-endemic red seaweeds, are better represented (i.e. have more species) in the Pacific than in the Atlantic (<xref ref-type="bibr" rid="B47">L&#xfc;ning, 1990</xref>; <xref ref-type="bibr" rid="B42">Lane et&#xa0;al., 2007</xref>; <xref ref-type="bibr" rid="B70">Sasaki and Kawai, 2007</xref>; <xref ref-type="bibr" rid="B1">Adey et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B56">Neiva et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B9">Bringloe et&#xa0;al., 2021</xref>), implying a predominant track of Pacific to Atlantic invasion. The biogeography of <italic>Fucus</italic>, however, does not suggest a primary Pacific origin. The sister genus <italic>Pelvetiopsis</italic> is composed by 4 NE Pacific-endemic species (<xref ref-type="bibr" rid="B59">Neiva et&#xa0;al., 2017</xref>), whereas all 7+ extant congeners of <italic>F. distichus</italic> are Atlantic endemics, including closely related <italic>F. serratus</italic> (<italic>F. spiralis</italic> is regarded as a recent introduction to the NE pacific (<xref ref-type="bibr" rid="B16">Coyer et&#xa0;al., 2006</xref>). The split and ensuing vicariant diversification of <italic>Fucus</italic> and <italic>Pelvetiopsis</italic> has been hypothesized to result from a trans-Arctic crossing by a common ancestor following the first opening of the Bering Strait at the Miocene/Pliocene transition <italic>ca</italic>. 5.6 Ma ago (<xref ref-type="bibr" rid="B10">C&#xe1;novas et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B76">Sousa et&#xa0;al., 2019</xref>). The secondary colonization of the Pacific by a <italic>F. distichus</italic> ancestor represents the most parsimonious hypothesis (<xref ref-type="bibr" rid="B45">Lindstrom, 2001</xref>; <xref ref-type="bibr" rid="B10">C&#xe1;novas et&#xa0;al., 2011</xref>) but is not consensual (<xref ref-type="bibr" rid="B16">Coyer et&#xa0;al., 2006</xref>; <xref ref-type="bibr" rid="B43">Laughinghouse et&#xa0;al., 2015</xref>). Alternative scenarios include a trans-Arctic split between main <italic>Fucus</italic> clades I (<italic>F. distichus/F. serratus</italic>) and II (<italic>F. vesiculosus et&#xa0;al.</italic>), or an earlier Pacific colonization by a <italic>F. distichus</italic>/<italic>F. serratus</italic> ancestor, in both cases involving the Atlantic colonization by (and Pacific extinction of) the <italic>F. serratus</italic> ancestor. While available data cannot answer this question, it is clear that the inferred colonization of the Atlantic represents only the latest among other trans-Arctic migrations in the evolutionary history of <italic>Fucus</italic>.</p>
</sec>
<sec id="s4_2">
<title>Long-term Pacific vs Atlantic ranges and niche conservatism</title>
<p>Another factor that likely contributed to the greater genetic diversity and differentiation of <italic>F. distichus</italic> in the North Pacific is the much wider ice-free glacial ranges, and the much greater glacial/interglacial range overlap, when compared with the Arctic/Atlantic. ENMs revealed extensive ice-free habitats suitable for <italic>F. distichus</italic> in the N Pacific during past major glaciations, from the Korean and Baja California Peninsulas to as far north as the palaeo-shorelines of Beringia. Even in the NE Pacific, where the Cordilleran ice-sheet spread along the coast and potentially created a distributional gap from British Columbia to the eastern Aleutians, suitable conditions existed from Vancouver to Point Conception (and beyond), where the endemic (and seemingly reproductively isolated) lineages R and LG were identified. Globally, and notwithstanding major climatic shifts across the last glacial/interglacial transition, available evidence supports long-term persistence of <italic>F. distichus</italic> throughout much of the core (and very wide) contemporary Pacific range. By comparison, the core distribution of <italic>F. distichus</italic> in the Atlantic overlaps extensively with regions that were under the direct influence of the LGM ice-sheets and available for colonization only at the onset of the deglaciation. The existence of a lineage unique to the NW Atlantic is in line with ENMs supporting suitable conditions just south of the Laurentide ice-sheet and along the ice-free palaeo-shorelines of the Grand Banks of Newfoundland (see also <xref ref-type="bibr" rid="B2">Assis et&#xa0;al., 2018a</xref>; <xref ref-type="bibr" rid="B8">Bringloe and Saunders, 2018</xref>). In the NE Atlantic, ENMs also revealed suitable habitat beyond ice-sheets from north-western British Isles to at least SW Iberia, but this putative southern glacial range is only marginally occupied today. The proximity of the glacial leading edge (just south of ice-sheet limits) and the modern trailing edge (western Ireland) necessarily translates into minimal areas of overlap (i.e. of long-term persistence), where genetic diversity could have accumulated and persisted until today.</p>
<p>Oddly, ENMs reveal suitable present-day climatic conditions throughout much of the British Isles and even Brittany, with Pacific models extending potential distributions as far south as northwest Iberia, i.e. much beyond its core distribution in Norway and its absolute modern range limit in Ireland. Even throughout its southern range in the British Isles, <italic>F. distichus</italic> populations are exceptionally rare and localized, and exhibit much less morphological and ecological plasticity when compared to other N Atlantic regions (e.g. <xref ref-type="bibr" rid="B66">Powell, 1963</xref>). Indeed, the single ecotype present &#x2013; dwarf <italic>F. distichus</italic> var. <italic>anceps</italic> &#x2013; is restricted to specific and disconnected sites along the western-facing coasts of Scotland and Ireland, subjected to extreme and persistent wave action, where other intertidal fucoids are scarce or absent. The species is ubiquitous throughout equivalent cold-temperate latitudes in the NE Pacific, where it nearly reaches the Southern California Bight warm-temperate eco-region (sensu <xref ref-type="bibr" rid="B77">Spalding et&#xa0;al., 2007</xref>). Most Arctic-cold temperate seaweeds with amphiboreal or amphi-Atlantic distributions (including foundational kelps such as <italic>Laminaria digitata</italic>, <italic>Alaria esculenta</italic> and <italic>Saccharina latissima</italic>, intertidal fucoids such as <italic>Ascophyllum nodosum</italic> and <italic>Fucus serratus</italic>, and red seaweeds such as <italic>Phycodrys rubens</italic> and <italic>Delesseria sanguinea</italic>) are still common in the Brittany-Ireland transition zone, and some even have relic populations in upwelling areas of NW Iberia. Most display unique gene-pools and diversity hotspots in these areas, indicating stable presence across climatic cycles (<xref ref-type="bibr" rid="B81">Wares and Cunningham, 2001</xref>; <xref ref-type="bibr" rid="B48">Maggs et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B80">Waltari and Hickerson, 2013</xref>).</p>
<p>The fragmented distribution of <italic>F. distichus</italic> in Europe could be explained by ongoing expansion from the NW Atlantic. This hypothesis is unconventional since most post-glacial trans-Atlantic migration has occurred, because of more benign glacial conditions, from East to West, but it explains some of the observations above. The steady expansion of a sheltered form of <italic>F. distichus</italic> (<italic>F. distichus</italic> var. <italic>evanescens</italic>) along the Skagerrak and Kattegat to at least Rostock in the western Baltic Sea (<italic>ca</italic>. 54&#xb0; Lat.) since its mid-1890 introduction to Oslofjord (eastern Norway, presumably from northern Europe) is also compatible with this hypothesis, as it confirms suitable thermal regimes and potential for southern range expansions (<xref ref-type="bibr" rid="B18">Coyer et&#xa0;al., 2002</xref>; <xref ref-type="bibr" rid="B19">Dietrich and Hendrik, 2017</xref>). Atypically high rates of hybridization with <italic>F. serratus</italic> further suggest that contact between the species in this area is evolutionarily recent (<xref ref-type="bibr" rid="B33">Hoarau et&#xa0;al., 2015</xref>). Disentangling among these hypotheses &#x2013; relic populations left after post-glacial contraction vs ongoing trans-Atlantic (W &#x2192; E) post-glacial expansion &#x2013; requires assessing whether genetic variation in the NE Atlantic is to some extent unique or chiefly a subset embedded within NW Atlantic diversity. The NE Atlantic populations, including Irish and Scottish ones, are not particularly remarkable for the studied markers, but more variable markers may be necessary to conclusively answer this question.</p>
<p>Perhaps other factors are playing a role. Whether pre-glacial or more recently, <italic>F. distichus</italic> may have suffered an important functional bottleneck during the NE Atlantic colonization. Migration corridors along the Canadian Arctic and Greenland require tolerance to extreme Arctic conditions and thus selective filters and gene-surfing along obligatory trans-Arctic pathways could have selected for specialized high-latitude form(s) pre-adapted to colder environments. If so, the regional NE Atlantic &#x201c;niche&#x201d; could be a fraction of the global species niche and its &#x201c;relic&#x201d; distribution along warmer British Isles (and absence further south) a reflection of it. There, its dependency for extremely exposed habitats could be explained by lower heat/desiccation stress attained in low-shore turbulent environments. The greater thermal tolerance of <italic>F. distichus</italic> in Pacific vs Atlantic ranges inferred from niche modelling (~1.8&#xb0;C) is certainly compatible with this hypothesis, but empirical evidence for less thermal tolerance in the NE Atlantic range (or larger thermal tolerance in southern populations of the E Pacific) is missing entirely. Another potential factor to consider is inter-specific competition. <italic>F. distichus</italic> may be outcompeted by other intertidal fucoids toward temperate latitudes, becoming restricted to extremely exposed habitats (British Isles) or nutrient-enriched harbors (Kattegat and Western Baltic Sea) where other intertidal fucoids (and particularly low-intertidal <italic>Fucus serratus</italic>, see <xref ref-type="bibr" rid="B36">Jueterbock et&#xa0;al., 2016</xref>) are scarce or cannot establish. Intertidal fucoid communities are also represented in the southernmost areas of the NW Atlantic and NE Pacific (<italic>Silvetia</italic>, <italic>Pelvetiopsis</italic>), but are comparatively less diverse and saturated than in the temperate NE Atlantic. These contrasting hypotheses differ conceptually &#x2013; they either assume fundamental or realized niche differences (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>) &#x2013; but both are rarely considered in marine phylogeographic literature. Comparative physiological/transcriptomic responses and reciprocal transplants, beyond the scope of this study, are likely to bring new insights, and help explain the nature of these apparent range/niche differences between the NE Atlantic and the remaining range.</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Conceptual models of niche contraction during colonizations. Top: Functional bottlenecks resulting from migration of a specialized population trough a narrow environmental filter/barrier (contraction of fundamental niche); Bottom: resulting from biotic constraints such as inter-specific competition in benign parts of the invaded range (contraction of realized niche).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fevo-12-1356987-g006.tif"/>
</fig>
</sec>
<sec id="s4_3">
<title>Pacific refugia and melting pots</title>
<p>In the Pacific, and to a lesser extent in the Atlantic (e.g. Canadian Maritimes), the occurrence of endemic haplotypic radiations provide good indication of glacial range dissections and confirm that some lineages never expanded post-glacially much beyond past refugia. As predicted, the Montereyan region in the southernmost NE Pacific was home to two unique haplogroups (LG and R), the latter the most differentiated within the complex. At higher latitudes, but still beyond the reach of glacial ice, populations tended to be dominated by single haplogroups. For instance, between Vancouver Island and Cape Mendocino, distinct NE Pacific-endemic haplogroups dominated relatively short stretches of shoreline. Populations from Japan and Russia were also dominated by single haplogroups, some endemic to (or nearly so) the NW Pacific (P, DY). Contrastingly, in southern Alaska, NE Pacific haplogroups were locally mixed, also with the trans-Pacific Y haplogroup, resulting in the most haplotypic (and genotypic) diverse populations within <italic>F. distichus</italic> range. Alaskan populations, even when separately analyzed as high- and low- intertidal bands, also exhibited the largest observed heterozygosity. Ice-sheet reconstructions suggest that the Cordilleran ice-sheet reached the southern Alaskan coastline, presumably creating a distributional gap spanning from the eastern Aleutians to Vancouver Island. This region apparently lacks endemic haplogroups, as the ones co-occurring in the area were also found farther south or farther west. Regional diversity was also not atypically high, at least when comparing to the Montereyan/Mendocinian region, and pair-wise differentiation between populations was quite depressed, indicating weaker genetic structure and lineage sorting when compared to other regions. Finally, local populations were often composed of parapatric bands reminiscent of distinct ecotypes (even if not consistently recovered as separate entities, see next section).</p>
<p>Taken together, these data suggest that the Alaskan Gulf represents a melting pot where unique and more structured southern East and West Pacific sources met. Most Y and DG haplotypes samples were, however, private to this area. It remains a possibility that they are shared with contiguous, unsampled areas beyond the direct influence of the coastal ice-sheet, but if not, they could signal glacial persistence at these higher latitudes as in the kelps <italic>Alaria</italic>, <italic>Hedophyllum nigripes</italic> and <italic>Saccharina latissima</italic> (<xref ref-type="bibr" rid="B28">Grant and Bringloe, 2020</xref>; <xref ref-type="bibr" rid="B30">Grant et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B29">Grant and Chenoweth, 2021</xref>). The mixed evidence is compatible with a more complex scenario were <italic>F. distichus</italic> survived glacial advances in SE Alaska in a few small pockets of unglaciated shorelines, before invasion from southern and western ranges following ice-retreat &#x2013; i.e. the area representing both a relic northern refugia and a post-glacial melting pot.</p>
<p>The Aleutian archipelago was poorly sampled but was also expected to bear signatures of recent contact between NW and NE Pacific regions. Central Aleutian Adak showed a more westerner character. This possibly reflects more benign LGM conditions, which presumably allowed survival (or at least earlier colonization) of western vs eastern Aleutians, as the latter was under the influence of the Cordilleran ice-sheet. Additional collections (analysed at a later stage and not included in this study) reveal that eastern Aleutian Islands indeed are genetically closer to the contiguous Alaskan region.</p>
</sec>
<sec id="s4_4">
<title>Species cohesion at local vs larger scale</title>
<p>In line with previous studies, molecular data failed to support traditionally recognized morpho-taxa among Atlantic <italic>F. distichus</italic>, nor, for the most part, subdividing Pacific &#x201c;<italic>Fucus gardneri</italic>&#x201d;. Much of the morphological variation between ecotypes has been shown to be continuous and explained by environmental factors (<xref ref-type="bibr" rid="B65">Powell, 1957</xref>; <xref ref-type="bibr" rid="B67">Rice et&#xa0;al., 1985</xref>; <xref ref-type="bibr" rid="B74">Sideman and Mathieson, 1985</xref>; <xref ref-type="bibr" rid="B68">Ruuskanen and Nappu, 2005</xref>), although a few common garden experiments suggest that at least some variation is heritable and not environmentally-induced (<xref ref-type="bibr" rid="B74">Sideman and Mathieson, 1985</xref>). In any case, eco-morphological or genetic entities were largely incongruent &#x2013; some phylogroups included multiple ecotypes, and vice-versa, similar ecotypes belonged to distinct genetic lineages. In other words, at large spatial scales, <italic>F. distichus</italic> is best described as a single ecologically plastic, morphologically polymorphic and genetically structured species whose variation (genetic, morphologic, etc.) is not sufficiently discontinuous or consistent as to justify recognizing separate genetic or taxonomic entities.</p>
<p>Still, it remains challenging to fully capture and define the biodiversity contained within <italic>F. distichus</italic>. In some regions clearly distinct ecotypes matching distinct gene-pools co-existed at very local scales as stable sympatric/parapatric entities. This pattern seems to imply (local) isolation mechanisms and is reminiscent of incipient species (<xref ref-type="bibr" rid="B6">Billard et&#xa0;al., 2005</xref>; <xref ref-type="bibr" rid="B56">Neiva et&#xa0;al., 2018</xref>). <italic>Fucus</italic> are externally fertilizing broadcast spawners and show broad gametic compatibility, as revealed by natural hybridization/introgression between many species pairs (<xref ref-type="bibr" rid="B18">Coyer et&#xa0;al., 2002</xref>; <xref ref-type="bibr" rid="B57">Neiva et&#xa0;al., 2010</xref>). Remarkably, hybridization rates between <italic>F. distichus</italic> and <italic>F. serratus</italic> are reduced in naturally sympatric ranges when compared to recently established (19<sup>th</sup> century) contact zones, implying reinforcement, i.e. the strengthening of pre-zygotic isolating barriers in response to selection against less-fit hybrids (<xref ref-type="bibr" rid="B33">Hoarau et&#xa0;al., 2015</xref>). Local build-up of isolation among younger and less differentiated conspecific populations has also been documented in the context of range-shifts, ecological speciation and ring-species (<xref ref-type="bibr" rid="B35">Hopkins, 2013</xref>). Many <italic>F. distichus</italic> haplogroups evolved in allopatry and in some cases may be partially pre-adapted, as suggested in parapatric contexts, to different environmental conditions. Upon secondary contact, their local and regional integrity may be explained by limited gene-flow resulting from high selfing rates, spatial segregation and/or temporal reproductive asynchrony, potentially reinforced by reduced hybrid fitness and/or strong selection for contrasting environmental conditions (<xref ref-type="bibr" rid="B73">Sideman and Mathieson, 1983</xref>; <xref ref-type="bibr" rid="B18">Coyer et&#xa0;al., 2002</xref>; <xref ref-type="bibr" rid="B7">Billard et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B86">Zardi et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B33">Hoarau et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B53">Monteiro et&#xa0;al., 2016</xref>). In Maine, for instance, a high-intertidal tide-pool ecotype (LO haplogroup) reproduces during low-tide when it is isolated from larger, lower-shore (DO haplotype) conspecifics (<xref ref-type="bibr" rid="B62">Pearson and Brawley, 1996</xref>), but low microsatellite resolution prevents at present confirming their degree of reproductive isolation. Dwarf and normal-sized intertidal ecotypes from Maine have also been shown to exhibit reproductive asynchrony (<xref ref-type="bibr" rid="B73">Sideman and Mathieson, 1983</xref>). In Alaska, high- and low-intertidal bands often showed different haplotypic compositions, but the pattern tended to be site-specific and only weakly correlated with respective nuclear backgrounds, requiring further examination. This area was also the one where populations exhibited the largest observed heterozygosity, implying an important incidence of outcrossing. The most convincing example is perhaps that of Pigeon Point, where haplogroups R (wide-frond type) and LG (thin-frond type) co-occurred sympatrically. Despite overlapping vertical ranges and reproductive period, only a single genetic F1 hybrid was detected (assuming it is not a laboratory contamination during DNA extraction), suggesting nearly complete reproductive isolation. Ongoing analyses of nearby populations support this pattern at a regional scale. This R haplogroup is also the most divergent within the complex, so there is convincing additional ground for suspecting a separate, incipient species.</p>
<p>From a taxonomic perspective, this &#x201c;paradox&#x201d; &#x2013; the existence of putatively isolated genetic entities that are relatively easy to recognize and discriminate at local scales but much harder to define (in terms of distinctive and constant morphological, ecological or genetic characters) at larger spatial scale - is problematic. Dealing with these entities may be even more complicated if reproductive isolation, as seems to be the case in some regions, is contingent and varies geographically depending on the specific genetic entities involved and/or the evolutionary and environmental contexts underlying their regional assembly. Similar studies may show that similar patterns apply to other highly-structured plastic species spanning large geographical areas regularly heavily impacted by glaciations.</p>
</sec>
<sec id="s4_5">
<title>Final considerations and future directions</title>
<p>Widespread amphiboreal marine species such as <italic>F. distichus</italic> are ideal models to investigate how climatic shifts, dispersal barriers, environmental filters and distinct biotic assemblages influence intra-specific genetic structure and niche differentiation across species ranges. Despite the unprecedented effort, a range of open questions remain that could be further addressed in future studies. First, new markers and approaches should be employed to estimate the timing of trans-Arctic migrations and secondary colonization of the Atlantic, and particularly of the NE Atlantic rear-edge, that are difficult to establish with microsatellite and mitochondrial data alone. The same applies with respect to spatially co-existing ecotypes, for which genomic data can provide much more power to clarify the actual degree of divergence and isolation and best taxonomic status, including confirming the putative cryptic species in the eastern Pacific rear-edge. As mentioned above, experimental work also seems necessary to clarify the nature of the apparent and very peculiar niche unfilling in the NE Atlantic. Finally, it is unquestionable that ongoing climatic change will translate into wider areas and windows of ice-free conditions in the near future. Deeper expansions into the high-Arctic seem inevitable and might even benefit from increased shipping along Canadian and Russian Arctic shores (<xref ref-type="bibr" rid="B36">Jueterbock et&#xa0;al., 2016</xref>). Vicariant Pacific and Atlantic lineages may eventually meet, creating an excellent biogeographic opportunity to directly investigate the fate of divergent lineages upon secondary contact (e.g. <xref ref-type="bibr" rid="B56">Neiva et&#xa0;al., 2018</xref>). These opportunities of research will not only improve our understanding of the complex biogeographical history, trans-Arctic divergence, and species cohesion in <italic>Fucus distichus</italic>, but of amphiboreal communities in general.</p>
</sec>
</sec>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are publicly available. This data can be found here: MtIGS sequences were deposited in Genbank as a PopSet alignment with accession numbers PP358930-PP359399. All relevant data described in the Material and Methods and Results sections, including microsatellite matrices, occurrence records, and niche modelling scripts are available in Figshare at <uri xlink:href="https://figshare.com/articles/dataset/Global_Phylogeography_of_Fucus_distichus_scripts_and_datasets/25249981">https://figshare.com/articles/dataset/Global_Phylogeography_of_Fucus_distichus_scripts_and_datasets/25249981</uri>.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>JN: Conceptualization, Data curation, Formal Analysis, Investigation, Methodology, Supervision, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. JA: Conceptualization, Formal Analysis, Methodology, Validation, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. EF: Methodology, Writing &#x2013; original draft. GP: Conceptualization, Funding acquisition, Methodology, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. PR: Conceptualization, Funding acquisition, Methodology, Resources, Writing &#x2013; review &amp; editing. LA: Data curation, Methodology, Resources, Writing &#x2013; review &amp; editing. DK-J: Data curation, Funding acquisition, Methodology, Resources, Writing &#x2013; review &amp; editing. NM: Data curation, Methodology, Resources, Writing &#x2013; review &amp; editing. AW: Funding acquisition, Investigation, Methodology, Resources, Writing &#x2013; review &amp; editing. OS: Methodology, Resources, Writing &#x2013; review &amp; editing. MN: Methodology, Resources, Writing &#x2013; review &amp; editing. WG: Investigation, Methodology, Resources, Writing &#x2013; review &amp; editing. BK: Funding acquisition, Writing &#x2013; review &amp; editing. MR: Methodology, Resources, Writing &#x2013; review &amp; editing. MS: Methodology, Resources, Writing &#x2013; review &amp; editing. CP: Data curation, Methodology, Writing &#x2013; review &amp; editing. ES: Conceptualization, Funding acquisition, Methodology, Project administration, Resources, Supervision, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing.</p>
</sec>
</body>
<back>
<sec id="s8" 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 study was funded by the Portuguese Foundation for Science and Technology (FCT) through UIDB/04326/2020, UIDP/04326/2020 and LA/P/0101/2020, the transitory norm DL 57/2016/CP1361/CT0010 (to JN), the Individual Call to Scientific Employment Stimulus 2022.00861 (to JA), scholarships  SFRH/BD/144878/2019 (to EF) and SFRH/BSAB/150485/2019 (to EAS), and projects MARFOR (Biodiversa/0004/2015), PARIS (PTDC/BIA-CBI/6515/2020) and RESTORESEAS (DivRestore/0013/2020; EU-BiodivERsA BiodivRestore-253). EAS was also funded by a Pew Marine Fellowship. Sampling along Greenland's West coast by DK-J and NM was funded by the European Unions 7th Framework Programme (&#x201c;Arctic Tipping Points&#x201d;, ATP, contract #226248). WG was funded by the Alaska Department of Fish and Game, Anchorage, Alaska. WG was funded by the Alaska Department of Fish and Game, Anchorage, Alaska.</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>The authors thank Marta Valente (CCMAR), Andre&#x301; Silva and Diogo Brito for sequencing and genotyping work and all the people involved in sample collection. Samples from Logy Bay were kindly collected by Kyle R. Millar. DK-J and NM thank Hurtigruten&#x2019;s FRAM cruise for help with sampling along the Greenland west coast. Greenland sampling was also connected with campaigns for the MarineBasis component of the Greenland Ecosystem Monitoring (GEM) Programme in Nuuk and Young Sound, which is acknowledged.</p>
</ack>
<sec id="s9" 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="s10" 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="s11" 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/fevo.2024.1356987/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fevo.2024.1356987/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Image_1.pdf" id="SF1" mimetype="application/pdf">
<label>Supplementary Figure&#xa0;S1</label>
<caption>
<p>Microsatellite allele frequencies in populations of <italic>Fucus distichus</italic>. Loci are separated by vertical lines, with loci names on top and allele sizes (bp) on the bottom. The presence of an allele in a population is indicated by a circle with an area proportional to its frequency.</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="Image_2.pdf" id="SF2" mimetype="application/pdf">
<label>Supplementary Figure&#xa0;S2</label>
<caption>
<p>Most probable number of genetic clusters according to STRUCTURE. Five iterations were run for each number of genetic clusters assumed (<italic>K</italic>).</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="Image_3.pdf" id="SF3" mimetype="application/pdf">
<label>Supplementary Figure&#xa0;S3</label>
<caption>
<p>Factorial component analyses of <italic>Fucus distichus</italic> genotypes, with Atlantic samples in black diamonds and Pacific samples in open triangles. Note the higher diversity of the latter.</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="Image_4.pdf" id="SF4" mimetype="application/pdf">
<label>Supplementary Figure&#xa0;S4</label>
<caption>
<p>Probability of niche overlap between the Atlantic and Pacific genetic groups (95% credible intervals displayed in dashed lines).</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="Image_5.pdf" id="SF5" mimetype="application/pdf">
<label>Supplementary Figure&#xa0;S5</label>
<caption>
<p>Habitat suitability in the Atlantic for <italic>Fucus distichus</italic> projected <bold>(A)</bold> with models built with Atlantic occurrence record data, and <bold>(B)</bold> with models built with Pacific occurrence record data. Potential ranges are depicted in black.</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="Image_6.pdf" id="SF6" mimetype="application/pdf">
<label>Supplementary Figure&#xa0;S6</label>
<caption>
<p>MtIGS haplotype networks of selected Fucoid seaweeds from the north Atlantic including <italic>Pelvetia</italic> (<xref ref-type="bibr" rid="B61">Neiva et&#xa0;al., 2014</xref>), <italic>Fucus</italic> (<xref ref-type="bibr" rid="B64">Neiva et&#xa0;al., 2010</xref>; Neiva et&#xa0;al., unpublished), and <italic>Pelvetiopsis</italic> (<xref ref-type="bibr" rid="B66">Neiva et&#xa0;al., 2017</xref>).</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="Table_1.docx" id="ST1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
<supplementary-material xlink:href="Table_2.docx" id="ST2" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
<supplementary-material xlink:href="Table_3.docx" id="ST3" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
<supplementary-material xlink:href="Table_4.docx" id="ST4" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
</sec>
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