<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v2.3 20070202//EN" "journalpublishing.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Microbiol.</journal-id>
<journal-title>Frontiers in Microbiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Microbiol.</abbrev-journal-title>
<issn pub-type="epub">1664-302X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmicb.2021.648685</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Microbiology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Fecal Methylmercury Correlates With Gut Microbiota Taxa in Pacific Walruses (<italic>Odobenus rosmarus divergens</italic>)</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Rothenberg</surname> <given-names>Sarah E.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/891971/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Sweitzer</surname> <given-names>Danielle N.</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1241728/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Rackerby</surname> <given-names>Bryna R.</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Couch</surname> <given-names>Claire E.</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1349704/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Cohen</surname> <given-names>Lesley A.</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Broughton</surname> <given-names>Heather M.</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x2020;</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Steingass</surname> <given-names>Sheanna M.</given-names></name>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x2020;</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Beechler</surname> <given-names>Brianna R.</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x2020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/502511/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>College of Public Health and Human Sciences, Oregon State University</institution>, <addr-line>Corvallis, OR</addr-line>, <country>United States</country></aff>
<aff id="aff2"><sup>2</sup><institution>Carlson College of Veterinary Medicine, Oregon State University</institution>, <addr-line>Corvallis, OR</addr-line>, <country>United States</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Food Science and Technology, College of Agricultural Sciences, Oregon State University</institution>, <addr-line>Corvallis, OR</addr-line>, <country>United States</country></aff>
<aff id="aff4"><sup>4</sup><institution>Department of Fisheries, Wildlife, and Conservation Sciences, College of Agricultural Sciences, Oregon State University</institution>, <addr-line>Corvallis, OR</addr-line>, <country>United States</country></aff>
<aff id="aff5"><sup>5</sup><institution>Department of Biology, Oregon State University-Cascades</institution>, <addr-line>Bend, OR</addr-line>, <country>United States</country></aff>
<aff id="aff6"><sup>6</sup><institution>Department of Fisheries, Wildlife, and Conservation Sciences, Marine Mammal Institute, Oregon State University</institution>, <addr-line>Corvallis, OR</addr-line>, <country>United States</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Alexandre J. Poulain, University of Ottawa, Canada</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Sophie Gent&#x00E8;s, Universit&#x00E9; de la Rochelle, France; Catherine Girard, Universit&#x00E9; du Qu&#x00E9;bec &#x00E0; Chicoutimi, Canada</p></fn>
<corresp id="c001">&#x002A;Correspondence: Sarah E. Rothenberg, <email>sarah.rothenberg@oregonstate.edu</email></corresp>
<fn fn-type="other" id="fn002"><p><sup>&#x2020;</sup>These authors have contributed equally to this work and share senior authorship</p></fn>
<fn fn-type="other" id="fn004"><p>This article was submitted to Microbiological Chemistry and Geomicrobiology, a section of the journal Frontiers in Microbiology</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>09</day>
<month>06</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>12</volume>
<elocation-id>648685</elocation-id>
<history>
<date date-type="received">
<day>07</day>
<month>01</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>30</day>
<month>04</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2021 Rothenberg, Sweitzer, Rackerby, Couch, Cohen, Broughton, Steingass and Beechler.</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Rothenberg, Sweitzer, Rackerby, Couch, Cohen, Broughton, Steingass and Beechler</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>
<sec><title>Objectives</title><p>Methylmercury metabolism was investigated in Pacific walruses (<italic>Odobenus rosmarus divergens</italic>) from St. Lawrence Island, Alaska, United States.</p></sec>
<sec><title>Methods</title><p>Total mercury and methylmercury concentrations were measured in fecal samples and paired colon samples (<italic>n</italic> = 16 walruses). Gut microbiota composition and diversity were determined using 16S rRNA gene sequencing. Associations between fecal and colon mercury and the 24 most prevalent gut microbiota taxa were investigated using linear models.</p></sec>
<sec><title>Results</title><p>In fecal samples, the median values for total mercury, methylmercury, and %methylmercury (of total mercury) were 200 ng/g, 4.7 ng/g, and 2.5%, respectively, while in colon samples, the median values for the same parameters were 28 ng/g, 7.8 ng/g, and 26%, respectively. In fecal samples, methylmercury was negatively correlated with one <italic>Bacteroides</italic> genus, while members of the Oscillospirales order were positively correlated with both methylmercury and %methylmercury (of total mercury). In colon samples, %methylmercury (of total mercury) was negatively correlated with members of two genera, <italic>Romboutsia</italic> and <italic>Paeniclostridium</italic>.</p></sec>
<sec><title>Conclusions</title><p>Median %methylmercury (of total mercury) was 10 times higher in the colon compared to the fecal samples, suggesting that methylmercury was able to pass through the colon into systemic circulation. Fecal total mercury and/or methylmercury concentrations in walruses were comparable to some human studies despite differences in seafood consumption rates, suggesting that walruses excreted less mercury. There are no members (at this time) of the Oscillospirales order which are known to contain the genes to methylate mercury, suggesting the source of methylmercury in the gut was from diet and not <italic>in vivo</italic> methylation.</p></sec>
</abstract>
<kwd-group>
<kwd>marine mammal</kwd>
<kwd>metabolism</kwd>
<kwd>Arctic</kwd>
<kwd>pinniped</kwd>
<kwd>microbiome</kwd>
<kwd>colon</kwd>
<kwd>alpha diversity</kwd>
<kwd>stable isotopes of C and N</kwd>
</kwd-group>
<contract-num rid="cn001">NGS-50280C-18</contract-num>
<contract-num rid="cn002">R/ECO-42-Rothenberg2022</contract-num>
<contract-sponsor id="cn001">National Geographic Society<named-content content-type="fundref-id">10.13039/100006363</named-content></contract-sponsor>
<contract-sponsor id="cn002">Oregon Sea Grant, Oregon State University<named-content content-type="fundref-id">10.13039/100005798</named-content></contract-sponsor>
<counts>
<fig-count count="4"/>
<table-count count="5"/>
<equation-count count="1"/>
<ref-count count="68"/>
<page-count count="13"/>
<word-count count="0"/>
</counts>
</article-meta>
</front>
<body>
<sec id="S1">
<title>Introduction</title>
<p>Mercury (Hg) is a global pollutant, which has contaminated the Arctic food web despite the lack of nearby anthropogenic Hg point sources (<xref ref-type="bibr" rid="B3">Arctic Monitoring and Assessment Program (AMAP), 2011</xref>). Hg is transported to the Arctic by air currents and ocean currents and through river runoff (<xref ref-type="bibr" rid="B3">Arctic Monitoring and Assessment Program (AMAP), 2011</xref>). In aquatic environments, anaerobic microorganisms convert less toxic inorganic Hg(II) (IHg) to methylmercury (MeHg), a known neurotoxin (<xref ref-type="bibr" rid="B41">Parks et al., 2013</xref>). MeHg is degraded and re-volatilized into the atmosphere (<xref ref-type="bibr" rid="B55">Sellers et al., 1996</xref>; <xref ref-type="bibr" rid="B37">Marvin-DiPasquale and Oremland, 1998</xref>; <xref ref-type="bibr" rid="B6">Barkay et al., 2003</xref>) or biomagnified in the aquatic food web (<xref ref-type="bibr" rid="B3">Arctic Monitoring and Assessment Program (AMAP), 2011</xref>). Highest MeHg concentrations are found in the tissues of apex predators, including Arctic marine mammals (<xref ref-type="bibr" rid="B20">Den et al., 2006</xref>; <xref ref-type="bibr" rid="B3">Arctic Monitoring and Assessment Program (AMAP), 2011</xref>; <xref ref-type="bibr" rid="B21">Dietz et al., 2013</xref>; <xref ref-type="bibr" rid="B48">Rea et al., 2020</xref>). This is important for Arctic indigenous communities, which rely on marine foods as part of their traditional diet (<xref ref-type="bibr" rid="B3">Arctic Monitoring and Assessment Program (AMAP), 2011</xref>).</p>
<p>Metabolism of MeHg is mediated in part by gut microbiota, mainly through MeHg demethylation (i.e., degradation) (<xref ref-type="bibr" rid="B51">Rowland et al., 1975</xref>, <xref ref-type="bibr" rid="B52">1984</xref>); however, many knowledge gaps remain concerning how gut microbes may impact the speciation, absorption, or excretion of Hg. In seafood, MeHg typically comprises &#x003E;95% of total mercury (THg) (=MeHg + IHg) (<xref ref-type="bibr" rid="B7">Bloom, 1992</xref>). Conversely, in human fecal samples, IHg comprises a far higher percentage of THg (up to 100%) (<xref ref-type="bibr" rid="B27">Ishihara, 2000</xref>; <xref ref-type="bibr" rid="B46">Rand et al., 2016</xref>; <xref ref-type="bibr" rid="B49">Rothenberg et al., 2016</xref>, <xref ref-type="bibr" rid="B50">2019</xref>; <xref ref-type="bibr" rid="B13">Caito et al., 2018</xref>; <xref ref-type="bibr" rid="B47">Rand and Caito, 2019</xref>), which is thought to reflect demethylation of MeHg by gut microbiota (<xref ref-type="bibr" rid="B52">Rowland et al., 1984</xref>). The intestinal epithelium is considered a barrier to IHg, more so than MeHg (<xref ref-type="bibr" rid="B54">Seko et al., 1981</xref>; <xref ref-type="bibr" rid="B63">V&#x00E1;zquez et al., 2013</xref>); thus, MeHg demethylation in the gut may reduce the reabsorption of MeHg into the host&#x2019;s circulation. MeHg demethylation may also occur in the liver due to the formation of Hg-selenium complexes (<xref ref-type="bibr" rid="B17">Caurant et al., 1996</xref>; <xref ref-type="bibr" rid="B29">Lailson-Brito et al., 2012</xref>; <xref ref-type="bibr" rid="B35">Manh&#x00E3;es et al., 2021</xref>); however, in a marine fish (black seabream, <italic>Acanthopagrus schlegeli</italic>), the rate of MeHg demethylation in the liver was on average 600 times slower compared to the intestine, suggesting that the intestine was the predominant site for MeHg demethylation in some species (<xref ref-type="bibr" rid="B65">Wang et al., 2017</xref>).</p>
<p>To date, one commensal methanogen (<italic>Methanomassiliicoccus luminyensis</italic>) isolated from human feces contained the gene cluster (<italic>hgcA</italic> and <italic>hgcB</italic>) required for microbial IHg methylation (<xref ref-type="bibr" rid="B41">Parks et al., 2013</xref>). However, organisms encoding <italic>hgcA</italic> and <italic>hgcB</italic>, including <italic>M. luminyensis</italic>, have not been found in human fecal samples (<xref ref-type="bibr" rid="B43">Podar et al., 2015</xref>; <xref ref-type="bibr" rid="B49">Rothenberg et al., 2016</xref>), suggesting the main source of MeHg was from diet, not microbial IHg methylation.</p>
<p>Prior studies concerning MeHg metabolism have focused on human populations (<xref ref-type="bibr" rid="B46">Rand et al., 2016</xref>; <xref ref-type="bibr" rid="B49">Rothenberg et al., 2016</xref>, <xref ref-type="bibr" rid="B50">2019</xref>; <xref ref-type="bibr" rid="B13">Caito et al., 2018</xref>) or experimental animal models (<xref ref-type="bibr" rid="B12">Bridges et al., 2018</xref>; <xref ref-type="bibr" rid="B68">Zhang et al., 2019</xref>; <xref ref-type="bibr" rid="B31">Lin et al., 2020</xref>), while few, if any, studies have focused on fish-consuming wildlife in natural settings. As a large carnivorous marine mammal, the Pacific walrus (<italic>Odobenus rosmarus divergens</italic>) is a reservoir for global contaminants, including MeHg (<xref ref-type="bibr" rid="B3">Arctic Monitoring and Assessment Program (AMAP), 2011</xref>, <xref ref-type="bibr" rid="B4">2018</xref>; <xref ref-type="bibr" rid="B11">Braune et al., 2015</xref>; <xref ref-type="bibr" rid="B21">Dietz et al., 2013</xref>; <xref ref-type="bibr" rid="B44">Quakenbush et al., 2016</xref>). In this study, associations between MeHg and gut microbiota were investigated in wild Pacific walruses. We hypothesize that associations with gut microbiota will differ between organic and inorganic Hg species. We also hypothesize that the colon, including the epithelium and mucosal regions, will accumulate more MeHg than IHg, potentially reflecting greater permeability of MeHg (<xref ref-type="bibr" rid="B54">Seko et al., 1981</xref>; <xref ref-type="bibr" rid="B63">V&#x00E1;zquez et al., 2013</xref>). This is an ancillary study to a larger study investigating immunity and parasite burden in the Pacific walrus.</p>
</sec>
<sec id="S2" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec id="S2.SS1">
<title>Site Description and Tissue Collection</title>
<p>The Pacific walrus spends most of its life in the Arctic and subarctic regions, between the northern Bering and Chukchi Seas (<xref ref-type="bibr" rid="B1">Alaska Department of Fish and Game (ADFG), 2020</xref>). St. Lawrence Island, Alaska, United States (latitude: 63.4090, longitude: &#x2013;170.3929), lies in the migration pathway, which walruses use as a haul-out site for resting (<xref ref-type="fig" rid="F1">Figure 1</xref>; <xref ref-type="bibr" rid="B1">Alaska Department of Fish and Game (ADFG), 2020</xref>). St. Lawrence Island has approximately 1,400 Yupik residents who live in two neighboring Native Village, Gambell and Savoonga, and rely heavily on Pacific walruses as a food source (<xref ref-type="bibr" rid="B44">Quakenbush et al., 2016</xref>). The Native Village of Gambell is on the island&#x2019;s northwest cape, while the Native Village of Savoonga is located on the northern coast, 63 km southeast of Gambell.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p>The Pacific walrus (<italic>Odobenus rosmarus divergens</italic>) range, including St. Lawrence Island, Alaska, which lies in the migration path (source: <xref ref-type="bibr" rid="B1">Alaska Department of Fish and Game (ADFG), 2020</xref>).</p></caption>
<graphic xlink:href="fmicb-12-648685-g001.tif"/>
</fig>
<p>During the 2019 spring subsistence harvest (April&#x2013;June), tissue samples (including the distal colon) from 37 walruses were collected by hunters and obtained for analysis through agreements with the Native Village of Savoonga and Gambell, the Eskimo Walrus Commission, and the US Fish and Wildlife Service (Gambell: 8 walruses; Savoonga: 29 walruses). Frozen tissue samples were transferred to Oregon State University for sample analysis under a letter of authorization from the US Fish and Wildlife Service to co-authors HB, SS, BB, and SR. Local hunters determined the sex and age classification (adult or subadult). Walruses were considered subadults if the tusk length was &#x003C;30.5 cm (&#x003C;12 in.) for males or &#x003C;20.3 cm (&#x003C;8 in.) for females; otherwise, walruses were considered adults (<xref ref-type="bibr" rid="B44">Quakenbush et al., 2016</xref>). Frozen (-20&#x00B0;C) fecal samples (homogenized) and colon sections were transferred into polypropylene vials or plastic Ziplock bags and stored at &#x2013;80&#x00B0;C. For this analysis, paired fecal and colon samples were available for 16 walruses, and paired vibrissae (whiskers) were available for 13 walruses.</p>
</sec>
<sec id="S2.SS2">
<title>Mercury Analyses</title>
<p>THg and MeHg concentrations were analyzed in fecal and colon samples at the Oregon State University Mercury Lab. The IHg concentration was estimated by subtraction (THg - MeHg).</p>
<p>Porcelain cups (250 ml) were acid-washed overnight in 1.2 N hydrochloric acid, triple-rinsed with Milli-Q H<sub>2</sub>O, and air-dried between each use. Prior to analysis, the colon sections were sonicated in 1% Triton X-100 (v/v) for 15 min, rinsed with Milli-Q H<sub>2</sub>O, and air-dried in acid-washed porcelain cups. The MeHg concentrations in feces and colon sections were analyzed using solvent extraction (<xref ref-type="bibr" rid="B8">Bloom et al., 1997</xref>). Briefly, frozen fecal samples (&#x223C;0.8 g) or air-dried colon samples (&#x223C;0.2 g) were weighed into 50-ml polypropylene tubes, and the samples were leached for 1 h in 5 ml of 18% (w/v) potassium bromide + 5% (v/v) sulfuric acid and 1 ml of 1 M copper sulfate solution. Then, 10 ml of dichloromethane (CH<sub>2</sub>Cl<sub>2</sub>) was added; the samples were shaken for 1 h and centrifuged (3,000 <italic>g</italic> for 30 min), and the phases were separated (Whatman 1-PS). The CH<sub>2</sub>Cl<sub>2</sub> layer was evaporated by heating vials in a water bath (60&#x2013;70&#x00B0;C) for 1.5 h, and the final volume was raised to 40 ml using Milli-Q H<sub>2</sub>O. The MeHg concentrations were quantified by gas chromatography&#x2013;cold vapor atomic fluorescence spectrometry, according to US Environmental Protection Agency (US EPA) Method 1630 (<xref ref-type="bibr" rid="B60">U.S. Environmental Protection Agency, 2001</xref>), using sodium tetraethylborate as the derivatizing agent (Model-III Detector, Brooks Rand Instruments, Seattle, WA, United States). The THg concentrations in fecal and colon samples were measured directly without digestion by thermal decomposition, amalgamation, and atomic absorption spectrophotometry, following US EPA Method 7473 (<xref ref-type="bibr" rid="B61">U.S. Environmental Protection Agency, 2007</xref>) (Lumex, Model RA-915+/PYRO-915+, St. Petersburg, Russia).</p>
<p>The THg and MeHg concentrations in air-dried colon sections were reported in dry weight. The THg and MeHg concentrations in fecal samples were converted from wet weight to dry weight, after drying an aliquot (average mass: 0.09 g) at 105&#x00B0;C overnight. Hg analyses were completed for fecal samples and colon sections within 3 and 21 months, respectively, after the walruses were harvested.</p>
</sec>
<sec id="S2.SS3">
<title>Mercury Quality Assurance/Quality Control</title>
<p>For THg and MeHg, the recovery of standard reference materials and matrix spikes averaged 88&#x2013;99% and 82&#x2013;95%, respectively (<xref ref-type="supplementary-material" rid="DS1">Supplementary Table 1</xref>). The relative standard deviation between replicate analyses for THg and MeHg averaged 20% and 17%, respectively (THg: <italic>n</italic> = 23 replicates, MeHg: <italic>n</italic> = 7 replicates). There was insufficient mass of remaining fecal sample to analyze replicates for the wet/dry ratio.</p>
</sec>
<sec id="S2.SS4">
<title>Stable Isotopes of &#x03B4;<sup>15</sup>N and &#x03B4;<sup>13</sup>C in Walrus Vibrissae (Whiskers)</title>
<p>Stable isotopes of nitrogen (&#x03B4;<sup>15</sup>N) and carbon (&#x03B4;<sup>13</sup>C) in marine mammal whiskers have been used to infer diet (trophic position) and potential foraging habitat (geographic origin), respectively (<xref ref-type="bibr" rid="B26">Hobson et al., 1996</xref>; <xref ref-type="bibr" rid="B56">Seymour et al., 2014</xref>; <xref ref-type="bibr" rid="B48">Rea et al., 2020</xref>). Stable isotopes in walrus whiskers were analyzed at Oregon State University&#x2019;s Stable Isotope Laboratory, in the proximal 1-cm whisker segment, representing the most recent exposure. Using an estimated growth rate of 0.1&#x2013;0.2 mm/day for the Pacific walrus (<xref ref-type="bibr" rid="B56">Seymour et al., 2014</xref>), this whisker length corresponded to approximately 3.3&#x2013;6.6 months. The whiskers were washed using 2-mercaptoethanol, triple-rinsed with Milli-Q H<sub>2</sub>O, and air-dried. The samples were flash-combusted at &#x003E;1,000&#x00B0;C using a Carlo Erba NA1500 elemental analyzer. Carbon and nitrogen were analyzed using a DeltaPlus XL isotope ratio mass spectrometer. Differences (&#x03B4;) of <sup>13</sup>C/<sup>12</sup>C and <sup>15</sup>N/<sup>14</sup>N were measured relative to Vienna Pee Dee Belemnite and atmospheric nitrogen (N<sub>2</sub>), respectively, using the following equation:</p>
<disp-formula id="S2.E1">
<label>(1)</label>
<mml:math id="M1">
<mml:mrow>
<mml:mrow>
<mml:mi mathvariant="normal">&#x03B4;</mml:mi>
<mml:mi>X</mml:mi>
</mml:mrow>
<mml:mo>=</mml:mo>
<mml:mrow>
<mml:mrow>
<mml:mo stretchy="false">[</mml:mo>
<mml:mrow>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mfrac>
<mml:msub>
<mml:mi>R</mml:mi>
<mml:mrow>
<mml:mtext>sample</mml:mtext>
</mml:mrow>
</mml:msub>
<mml:msub>
<mml:mi>R</mml:mi>
<mml:mrow>
<mml:mtext>standard</mml:mtext>
</mml:mrow>
</mml:msub>
</mml:mfrac>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:mo>-</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
<mml:mo stretchy="false">]</mml:mo>
</mml:mrow>
<mml:mo>&#x00D7;</mml:mo>
<mml:mpadded width="+5pt">
<mml:msup>
<mml:mn>10</mml:mn>
<mml:mn>3</mml:mn>
</mml:msup>
</mml:mpadded>
</mml:mrow>
</mml:mrow>
</mml:math>
</disp-formula>
<p>where &#x03B4;<italic>X</italic> refers to &#x03B4;<sup>15</sup>N or &#x03B4;<sup>13</sup><italic>C</italic>, and <italic>R</italic><sub><italic>sample</italic></sub>, and <italic>R</italic><sub><italic>standard</italic></sub> refer to the relative difference between sample and standard isotope ratios, respectively. Results are reported as per mil (&#x2030;) deviation with a precision of &#x00B1; 0.2&#x2030; for &#x03B4;<sup>15</sup>N and &#x00B1; 0.1&#x2030; for &#x03B4;<sup>13</sup>C.</p>
</sec>
<sec id="S2.SS5">
<title>PCR Sequencing and Processing</title>
<p>Genomic DNA was extracted using Qiagen PowerSoil Pro Kit, following the manufacturer&#x2019;s instructions. An incubation step was added (65&#x00B0;C for 10 min) to improve the lysis of recalcitrant taxa<sup><xref ref-type="fn" rid="footnote1">1</xref></sup>, just prior to bead disruption (max speed, 10 min; OMNI Bead Ruptor 24). Extracted DNA was analyzed at the Oregon State University Center for Genome Research and Biocomputing, following the standard Earth Microbiome protocol for 16s rRNA sequencing<sup><xref ref-type="fn" rid="footnote2">2</xref></sup> (<xref ref-type="bibr" rid="B15">Caporaso et al., 2011</xref>, <xref ref-type="bibr" rid="B16">2012</xref>). Briefly, we amplified a 450-bp region of the V4 region of the bacterial 16S gene. The extracted DNA was subjected to a first round of 16S PCR amplification using the updated 515F forward primer (<xref ref-type="bibr" rid="B40">Parada et al., 2016</xref>) and 806R reverse primer (<xref ref-type="bibr" rid="B2">Apprill et al., 2015</xref>) (forward primer, 5&#x2032;-GTGYCAGCMGCCGCGGTAA-3&#x2032;; reverse primer, 5&#x2032;-GGACTACNVGGGTWTCTAAT-3&#x2032;). Amplicons were cleaned, indexed, and normalized prior to sequencing on the Illumina MiSeq platform, resulting in 250-bp paired-end reads.</p>
<p>Amplicon sequence variants (ASVs) were inferred using the DADA2 pipeline (version 1.14.1) (<xref ref-type="bibr" rid="B14">Callahan et al., 2016</xref>) (see <xref ref-type="supplementary-material" rid="DS1">Supplementary Material</xref> for details and <xref ref-type="supplementary-material" rid="DS1">Supplementary Table 2</xref>). Full-length 16S ribosomal RNA sequences were downloaded from the All Species Living Tree Project (SILVA, version 138) and aligned to ASVs. A sterile water sample was included as negative control to account for the effects of possible sample handling contaminants. Any ASVs observed within negative control were subsequently removed from all samples, resulting in a total of 344 ASVs. Alpha diversity indices were determined using the R package &#x201C;vegan&#x201D; (version 2.5-7), including the observed number of ASVs, Shannon&#x2019;s diversity index, Simpson&#x2019;s diversity index, and Pielou&#x2019;s measure of evenness. Consistent with proposed nomenclature changes, the phylum Bacteroidetes has been re-named Bacteroidota (<xref ref-type="bibr" rid="B66">Whitman et al., 2018</xref>).</p>
</sec>
<sec id="S2.SS6">
<title>Statistics and Bioinformatics</title>
<p>Associations between Hg [THg, MeHg, IHg, and %MeHg (of THg)] and walrus sampling location and age class were investigated using Wilcoxon rank sum test. Hg species in fecal and colon samples were compared using paired <italic>t</italic>-tests (two-tailed). Correlations between Hg species, stable isotopes of nitrogen (&#x03B4;<sup>13</sup>N) and carbon (&#x03B4;<sup>13</sup>C), and alpha diversity indices were determined using Spearman&#x2019;s correlation.</p>
<p>To assess the associations between fecal and colon Hg species and gut microbiota taxa, we employed Microbiome Multivariable Association with Linear Models (Maaslin2) in R (<xref ref-type="bibr" rid="B33">Mallick et al., 2020</xref>). Because of the limited sample size (<italic>n</italic> = 16 samples), ASVs were included if measured in at least 80% of walrus gut microbiota samples, reducing the number of ASVs from 344 to 24. These 24 ASVs represented the most prevalent gut microbiota taxa. ASVs were normalized using relative abundance and transformed using the default transformation in Maaslin2 (arcsine-square-root transformation), which has been applied to proportional data (<xref ref-type="bibr" rid="B58">Sokal and Rohlf, 2012</xref>). A log<sub>10</sub> transformation was applied to Hg variables, which were right-skewed.</p>
<p>Using Wilcoxon rank sum test or Spearman&#x2019;s correlation, a <italic>p</italic>-value of 0.05 was used as a guide for significance. Using Maaslin2, <italic>q</italic>-values (false discovery rate-corrected <italic>p</italic>-values) were calculated (<xref ref-type="bibr" rid="B33">Mallick et al., 2020</xref>), and <italic>q</italic> &#x2264;0.25 was used as a guide for significance. Statistical analyses were performed using Stata (Version 9.2, College Station, TX, United States) and the R-platform (Version 4.0.2, 06 June 2020) (<xref ref-type="bibr" rid="B45">R Core Team, 2020</xref>).</p>
</sec>
</sec>
<sec id="S3">
<title>Results</title>
<sec id="S3.SS1">
<title>Walrus Summary Data</title>
<p>The majority of walruses (75%) included in this study were harvested by hunters in Savoonga, compared to Gambell (<xref ref-type="table" rid="T1">Table 1</xref>). All walruses were male, while 56% of the walruses were classified as adults, 19% were classified as subadults, and the remaining 25% were not classified.</p>
<table-wrap position="float" id="T1">
<label>TABLE 1</label>
<caption><p>Associations between walrus characteristics and mercury concentrations in fecal samples (<italic>n</italic> = 16 walruses).</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="center"><italic>N</italic> (%)</td>
<td valign="top" align="center">THg (ng/g dw) Median (range)</td>
<td valign="top" align="center"><italic>p</italic>-value</td>
<td valign="top" align="center">MeHg (ng/g dw) Median (range)</td>
<td valign="top" align="center"><italic>p</italic>-value</td>
<td valign="top" align="center">IHg<sup><italic>a</italic></sup> (ng/g dw) Median (range)</td>
<td valign="top" align="center"><italic>p</italic>-value</td>
<td valign="top" align="center">%MeHg (of THg) Median (range)</td>
<td valign="top" align="center"><italic>p</italic>-value</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">All</td>
<td valign="top" align="center">16 (100)</td>
<td valign="top" align="center">200 (72, 650)</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">4.7 (0.96, 70)</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">190 (71, 340)</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">2.5 (0.46, 30)</td>
<td valign="top" align="center">NA</td>
</tr>
<tr>
<td valign="top" align="left" colspan="10"><bold>Site</bold></td>
</tr>
<tr>
<td valign="top" align="left">Savoonga</td>
<td valign="top" align="center">12 (75)</td>
<td valign="top" align="center">190 (72, 400)</td>
<td valign="top" align="center">0.07</td>
<td valign="top" align="center">4.7 (0.96, 70)</td>
<td valign="top" align="center">0.72</td>
<td valign="top" align="center">180 (71, 340)</td>
<td valign="top" align="center">0.04&#x002A;</td>
<td valign="top" align="center">2.5 (1.1, 30)</td>
<td valign="top" align="center">0.63</td>
</tr>
<tr>
<td valign="top" align="left">Gambell</td>
<td valign="top" align="center">4 (25)</td>
<td valign="top" align="center">420 (154, 650)</td>
<td/>
<td valign="top" align="center">6.2 (3.0, 26)</td>
<td/>
<td valign="top" align="center">400 (150, 650)</td>
<td/>
<td valign="top" align="center">2.4 (0.46, 5.8)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left" colspan="10"><bold>Age</bold></td>
</tr>
<tr>
<td valign="top" align="left">Adult</td>
<td valign="top" align="center">9 (56)</td>
<td valign="top" align="center">200 (72, 650)</td>
<td valign="top" align="center">0.64</td>
<td valign="top" align="center">4.9 (1.4, 70)</td>
<td valign="top" align="center">0.93</td>
<td valign="top" align="center">180 (71, 650)</td>
<td valign="top" align="center">0.41</td>
<td valign="top" align="center">2.8 (0.46, 30)</td>
<td valign="top" align="center">0.78</td>
</tr>
<tr>
<td valign="top" align="left">Subadult</td>
<td valign="top" align="center">3 (19)</td>
<td valign="top" align="center">210 (170, 450)</td>
<td/>
<td valign="top" align="center">4.5 (2.0, 26)</td>
<td/>
<td valign="top" align="center">200 (170, 420)</td>
<td/>
<td valign="top" align="center">2.2 (1.1, 5.8)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Missing</td>
<td valign="top" align="center">4 (25)</td>
<td valign="top" align="center">200 (81, 400)</td>
<td/>
<td valign="top" align="center">6.2 (0.96, 17)</td>
<td/>
<td valign="top" align="center">190 (80, 390)</td>
<td/>
<td valign="top" align="center">2.4 (1.2, 7.2)</td>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<attrib><italic>&#x002A;<italic>p</italic> &#x003C; 0.05. The <italic>p</italic>-values are for Wilcoxon rank sum test for non-missing categories. dw, dry weight; IHg, inorganic mercury(II); MeHg, methylmercury; THg, total mercury. <sup><italic>a</italic></sup>IHg = THg &#x2013; MeHg.</italic></attrib>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="S3.SS2">
<title>Mercury Species in Fecal and Colon Samples</title>
<p>For all walruses (<xref ref-type="table" rid="T1">Table 1</xref>), the median fecal THg and MeHg concentrations were 200 ng/g (THg range: 72&#x2013;650 ng/g) and 4.7 ng/g (MeHg range: 0.96&#x2013;70 ng/g), respectively, while the median %MeHg (of THg) was 2.5% [%MeHg (of THg) range: 0.46&#x2013;30%]. The walruses harvested by hunters in Gambell had higher fecal IHg concentrations compared to the walruses harvested by hunters in Savoonga, although the reason was uncertain. No differences in Hg species in fecal samples were observed between adults and subadults.</p>
<p>The distribution of Hg species in colon samples (<xref ref-type="table" rid="T2">Table 2</xref>) differed from fecal samples (<xref ref-type="table" rid="T1">Table 1</xref>). The median colon THg and MeHg concentrations were 28 ng/g (THg range: 15&#x2013;95 ng/g) and 7.8 ng/g (MeHg range: 3.3&#x2013;57 ng/g), respectively, while the median %MeHg (of THg) was 26% [%MeHg (of THg) range: 16&#x2013;60%]. Compared to fecal samples, the median %MeHg (of THg) in colon tissue was 10 times higher (26 vs. 2.5%). Using paired fecal and colon samples, the MeHg concentrations did not differ; however, the THg and IHg concentrations were higher in fecal samples, while %MeHg (of THg) was higher in colon sections (two-tailed <italic>t</italic>-test, <italic>p</italic> &#x003C; 0.0001 for all) (when Hg variables were log<sub>10</sub>-transformed). No differences were observed between colon Hg species and harvest site (i.e., the Native Village of Gambell and Savoonga); however, %MeHg (of THg) was higher in adults compared to subadults (<xref ref-type="table" rid="T2">Table 2</xref>).</p>
<table-wrap position="float" id="T2">
<label>TABLE 2</label>
<caption><p>Associations between walrus characteristics and mercury concentrations in colon samples (<italic>n</italic> = 16 walruses).</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="center"><italic>N</italic> (%)</td>
<td valign="top" align="center">THg (ng/g dw) Median (range)</td>
<td valign="top" align="center"><italic>p</italic>-value</td>
<td valign="top" align="center">MeHg (ng/g dw) Median (range)</td>
<td valign="top" align="center"><italic>p</italic>-value</td>
<td valign="top" align="center">IHg<sup><italic>a</italic></sup> (ng/g dw) Median (range)</td>
<td valign="top" align="center"><italic>p</italic>-value</td>
<td valign="top" align="center">%MeHg (of THg) Median (range)</td>
<td valign="top" align="center"><italic>p</italic>-value</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">All</td>
<td valign="top" align="center">16 (100)</td>
<td valign="top" align="center">28 (15, 95)</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">7.8 (3.3, 57)</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">20 (8.8, 59)</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">26 (16, 60)</td>
<td valign="top" align="center">NA</td>
</tr>
<tr>
<td valign="top" align="left" colspan="10"><bold>Site</bold></td>
</tr>
<tr>
<td valign="top" align="left">Savoonga</td>
<td valign="top" align="center">12 (75)</td>
<td valign="top" align="center">27 (15, 95)</td>
<td valign="top" align="center">0.33</td>
<td valign="top" align="center">7.8 (3.3, 57)</td>
<td valign="top" align="center">1.0</td>
<td valign="top" align="center">20 (8.8, 59)</td>
<td valign="top" align="center">0.23</td>
<td valign="top" align="center">27 (18, 60)</td>
<td valign="top" align="center">0.11</td>
</tr>
<tr>
<td valign="top" align="left">Gambell</td>
<td valign="top" align="center">4 (25)</td>
<td valign="top" align="center">42 (21, 60)</td>
<td/>
<td valign="top" align="center">7.4 (5.9, 12)</td>
<td/>
<td valign="top" align="center">35 (15, 49)</td>
<td/>
<td valign="top" align="center">19 (16, 29)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left" colspan="10"><bold>Age</bold></td>
</tr>
<tr>
<td valign="top" align="left">Adult</td>
<td valign="top" align="center">9 (56)</td>
<td valign="top" align="center">27 (17, 95)</td>
<td valign="top" align="center">0.93</td>
<td valign="top" align="center">7.9 (6.3, 57)</td>
<td valign="top" align="center">0.93</td>
<td valign="top" align="center">20 (8.8, 59)</td>
<td valign="top" align="center">0.78</td>
<td valign="top" align="center">29 (19, 60)</td>
<td valign="top" align="center">0.052</td>
</tr>
<tr>
<td valign="top" align="left">Subadult</td>
<td valign="top" align="center">3 (19)</td>
<td valign="top" align="center">38 (18, 47)</td>
<td/>
<td valign="top" align="center">8.5 (3.3, 10)</td>
<td/>
<td valign="top" align="center">27 (15, 39)</td>
<td/>
<td valign="top" align="center">18 (18, 27)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Missing</td>
<td valign="top" align="center">4 (25)</td>
<td valign="top" align="center">29 (15, 60)</td>
<td/>
<td valign="top" align="center">5.3 (3.9, 12)</td>
<td/>
<td valign="top" align="center">23 (11, 49)</td>
<td/>
<td valign="top" align="center">21 (16, 26)</td>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<attrib><italic>The <italic>p</italic>-values are for Wilcoxon rank sum test for non-missing categories. IHg, inorganic mercury(II); MeHg, methylmercury; THg, total mercury. <sup><italic>a</italic></sup>IHg = THg &#x2013; MeHg.</italic></attrib>
</table-wrap-foot>
</table-wrap>
<p>In both fecal and colon samples, positive associations were observed between the concentrations of THg and MeHg, THg and IHg, and MeHg and IHg (<xref ref-type="table" rid="T3">Table 3</xref>). However, the correlation between MeHg and %MeHg (of THg) was stronger in fecal samples (Spearman&#x2019;s rho: 0.87) compared to colon sections (Spearman&#x2019;s rho: 0.26). In addition, the direction of association between THg and %MeHg (of THg) differed between fecal and colon samples. In colon sections, a negative association was observed (Spearman&#x2019;s rho: &#x2013;0.17), while in fecal samples a positive association was observed (Spearman&#x2019;s rho: 0.31). Likewise, differences in the direction of association were observed between IHg and %MeHg (of THg) (Spearman&#x2019;s rho: colon &#x2013;0.40, fecal 0.18).</p>
<table-wrap position="float" id="T3">
<label>TABLE 3</label>
<caption><p>Spearman&#x2019;s correlation for mercury species (<italic>n</italic> = 16 walruses).</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="center">THg</td>
<td valign="top" align="center">MeHg</td>
<td valign="top" align="center">IHg<sup><italic>a</italic></sup></td>
<td valign="top" align="center">%MeHg (of THg)</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="5"><bold>Fecal samples</bold></td>
</tr>
<tr>
<td valign="top" align="left">THg</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center"/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">MeHg</td>
<td valign="top" align="center">0.69&#x002A;&#x002A;</td>
<td valign="top" align="center">1</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">IHg<sup><italic>a</italic></sup></td>
<td valign="top" align="center">0.97&#x002A;&#x002A;&#x002A;</td>
<td valign="top" align="center">0.58&#x002A;</td>
<td valign="top" align="center">1</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">%MeHg (of THg)</td>
<td valign="top" align="center">0.31</td>
<td valign="top" align="center">0.87&#x002A;&#x002A;&#x002A;</td>
<td valign="top" align="center">0.18</td>
<td valign="top" align="center">1</td>
</tr>
<tr>
<td valign="top" align="left" colspan="5"><bold>Colon samples</bold></td>
</tr>
<tr>
<td valign="top" align="left">THg</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center"/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">MeHg</td>
<td valign="top" align="center">0.81&#x002A;&#x002A;&#x002A;</td>
<td valign="top" align="center">1</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">IHg<sup><italic>a</italic></sup></td>
<td valign="top" align="center">0.93&#x002A;&#x002A;&#x002A;</td>
<td valign="top" align="center">0.70&#x002A;&#x002A;</td>
<td valign="top" align="center">1</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">%MeHg (of THg)</td>
<td valign="top" align="center">&#x2013;0.17</td>
<td valign="top" align="center">0.26</td>
<td valign="top" align="center">-0.40&#x002A;</td>
<td valign="top" align="center">1</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<attrib><italic>&#x002A;<italic>p</italic> &#x003C; 0.05, &#x002A;&#x002A;<italic>p</italic> &#x003C; 0.01, &#x002A;&#x002A;&#x002A;<italic>p</italic> &#x003C; 0.001. IHg, inorganic mercury(II); MeHg, methylmercury; THg, total mercury. <sup><italic>a</italic></sup>IHg = THg &#x2013; MeHg.</italic></attrib>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="S3.SS3">
<title>Whisker &#x03B4;<sup>13</sup>C and &#x03B4;<sup>15</sup>N and Fecal Mercury Species</title>
<p>For &#x03B4;<sup>13</sup>C, the average &#x00B1; 1SD was &#x2013;15.7 &#x00B1; 0.45&#x2030; (range: &#x2013;16.3 to &#x2013;14.5&#x2030;), and for &#x03B4;<sup>15</sup>N, the average &#x00B1; 1SD was 13.6 &#x00B1; 0.83&#x2030; (range: 12.4 to 15.7&#x2030;). Associations between fecal THg, MeHg, IHg, and %MeHg (of THg) and stable isotopes of &#x03B4;<sup>15</sup>N were positive; however, all correlation coefficients were non-significant (Spearman&#x2019;s rho range: 0.12&#x2013;0.29). Similarly, associations between fecal THg, MeHg, IHg, and %MeHg (of THg) and stable isotopes of &#x03B4;<sup>13</sup>C were positive but non-significant (Spearman&#x2019;s rho range: 0.15&#x2013;0.35).</p>
</sec>
<sec id="S3.SS4">
<title>Gut Microbiota Alpha Diversity Indices and Mercury Species</title>
<p>In fecal samples, MeHg was strongly positively correlated with the observed number of ASVs and Shannon&#x2019;s diversity index (Spearman&#x2019;s rho range: 0.54&#x2013;0.63), while fecal %MeHg (of THg) was strongly positively correlated with all four indices, including the observed number of ASVs, Shannon&#x2019;s diversity index, Simpson&#x2019;s diversity index, and Pielou&#x2019;s measure of evenness (Spearman&#x2019;s rho range: 0.50&#x2013;0.71) (<xref ref-type="fig" rid="F2">Figure 2</xref>). The trends between the observed number of ASVs and fecal THg and IHg were also positive, although non-significant (Spearman&#x2019;s rho range: 0.45&#x2013;0.48). In colon samples, there were no significant associations between Hg species and alpha diversity indices. Likewise, no differences in alpha diversity indices were observed between the two harvest sites, i.e., the Native Village of Gambell and Savoonga, or between adult and subadult walruses.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption><p>Associations between the alpha diversity indices and fecal methylmercury (MeHg) <bold>(A&#x2013;D)</bold> or %MeHg [of total mercury (THg)] <bold>(E&#x2013;H)</bold> (both log<sub>10</sub>-transformed), including <bold>(A,E)</bold> Shannon&#x2019;s diversity index, <bold>(B,F)</bold> Simpson&#x2019;s diversity index, <bold>(C,G)</bold> the observed number of amplicon sequence variants, and <bold>(D,H)</bold> Pielou&#x2019;s measure of evenness. Each plot includes the linear regression line &#x00B1; standard error of the regression line.</p></caption>
<graphic xlink:href="fmicb-12-648685-g002.tif"/>
</fig>
</sec>
<sec id="S3.SS5">
<title>Gut Microbiota and Mercury Species</title>
<p>Twenty-four ASVs met our inclusion criteria for Maaslin2 analysis, which comprised 22&#x2013;83% relative abundance (median: 56% relative abundance) (<xref ref-type="supplementary-material" rid="DS1">Supplementary Table 3</xref> and <xref ref-type="supplementary-material" rid="DS1">Supplementary Figure 1</xref>). ASVs belonged to three phyla (Firmicutes, Bacteroidota, and Fusobacteriota), four classes (Bacteroidia, Bacilli, Clostridia, and Fusobacteria), and seven orders (Bacteroidales, Clostridiales, Erysipelotrichales, Fusobacteriales, Lachnospirales, Oscillospirales, and Peptostreptococcales-Tissierellales). The most abundant ASVs (average &#x00B1; SD) included a <italic>Fusobacterium</italic> genus (family <italic>Fusobacteriaceae</italic>; 12 &#x00B1; 19% relative abundance), a <italic>Paeniclostridium</italic> genus (family <italic>Peptostreptococcaceae</italic>; 9.1 &#x00B1; 10% relative abundance), and a member of the species <italic>Clostridium sensu stricto</italic> cluster 1 <italic>perfringens</italic> (family <italic>Clostridiaceae</italic>; 6.5 &#x00B1; 13% relative abundance). As noted in the section &#x201C;Introduction,&#x201D; <italic>M. luminyensis</italic> contains the gene cluster (<italic>hgcA</italic> and <italic>hgcB</italic>) required for microbial IHg methylation (<xref ref-type="bibr" rid="B41">Parks et al., 2013</xref>). However, among all 344 ASVs, members of the genus <italic>Methanomassiliicoccus</italic> were not observed.</p>
<p>Results from the Maaslin2 linear models are presented in <xref ref-type="supplementary-material" rid="DS1">Supplementary Tables 4&#x2013;7</xref> (for fecal samples) and <xref ref-type="supplementary-material" rid="DS1">Supplementary Tables 8&#x2013;11</xref> (for colon samples).</p>
<p>In fecal samples, log<sub>10</sub> MeHg and log<sub>10</sub> %MeHg (of THg) were each correlated (positive and negative) with three ASVs (<xref ref-type="table" rid="T4">Table 4</xref>, <xref ref-type="fig" rid="F3">Figure 3</xref>, and <xref ref-type="supplementary-material" rid="DS1">Supplementary Tables 6</xref>, <xref ref-type="supplementary-material" rid="DS1">7</xref>). ASVs correlated with fecal log<sub>10</sub> MeHg included a member of the <italic>Bacteroides</italic> genus (negatively correlated), a member of the genus UCG-005 (family: <italic>Oscillospiraceae</italic>; positively correlated), and an unclassified member of the Oscillospirales order (positively correlated). The latter two ASVs were also positively correlated with fecal log<sub>10</sub> %MeHg (of THg). In addition, a second member of the genus UCG-005 (family: <italic>Oscillospiraceae</italic>) was positively correlated with fecal log<sub>10</sub> %MeHg (of THg). In colon samples, log<sub>10</sub> %MeHg (of THg) was negatively correlated with two ASVs, including members of the <italic>Romboutsia</italic> genus and the <italic>Paeniclostridium</italic> genus (<xref ref-type="table" rid="T4">Table 4</xref>, <xref ref-type="fig" rid="F4">Figure 4</xref>, and <xref ref-type="supplementary-material" rid="DS1">Supplementary Tables 10</xref>, <xref ref-type="supplementary-material" rid="DS1">11</xref>).</p>
<table-wrap position="float" id="T4">
<label>TABLE 4</label>
<caption><p>Associations between mercury species (log<sub>10</sub>-transformed) and gut microbiota amplicon sequence variants (arcsine-square root transformed) using Microbiome Multivariable Association with Linear Models (Maaslin2) (<italic>n</italic> = 16 walruses).</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Phylum</td>
<td valign="top" align="center">Class</td>
<td valign="top" align="center">Order</td>
<td valign="top" align="center">Family</td>
<td valign="top" align="center">Genus</td>
<td valign="top" align="center">Beta coefficient</td>
<td valign="top" align="center">Number of samples not 0</td>
<td valign="top" align="center"><italic>p</italic>-value</td>
<td valign="top" align="center"><italic>q</italic>-value (FDR adjusted <italic>p</italic>-value)</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="9"><bold>Log<sub>10</sub> methylmercury in feces</bold></td>
</tr>
<tr>
<td valign="top" align="left">Firmicutes</td>
<td valign="top" align="center">Clostridia</td>
<td valign="top" align="center">Oscillospirales</td>
<td valign="top" align="center"><italic>Oscillospiraceae</italic></td>
<td valign="top" align="center"><italic>UCG-005 (1)</italic></td>
<td valign="top" align="center">0.11</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">0.0002</td>
<td valign="top" align="center">0.004</td>
</tr>
<tr>
<td valign="top" align="left">Firmicutes</td>
<td valign="top" align="center">Clostridia</td>
<td valign="top" align="center">Oscillospirales</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">0.10</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">0.01</td>
<td valign="top" align="center">0.16</td>
</tr>
<tr>
<td valign="top" align="left">Bacteroidota</td>
<td valign="top" align="center">Bacteroidia</td>
<td valign="top" align="center">Bacteroidales</td>
<td valign="top" align="center"><italic>Bacteroidaceae</italic></td>
<td valign="top" align="center"><italic>Bacteroides</italic></td>
<td valign="top" align="center">&#x2013;0.04</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">0.03</td>
<td valign="top" align="center">0.22</td>
</tr>
<tr>
<td valign="top" align="left" colspan="9"><bold>Log<sub>10</sub> %methylmercury (of total mercury) in feces</bold></td>
</tr>
<tr>
<td valign="top" align="left">Firmicutes</td>
<td valign="top" align="center">Clostridia</td>
<td valign="top" align="center">Oscillospirales</td>
<td valign="top" align="center"><italic>Oscillospiraceae</italic></td>
<td valign="top" align="center"><italic>UCG-005 (1)</italic></td>
<td valign="top" align="center">0.14</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">0.0002</td>
<td valign="top" align="center">0.005</td>
</tr>
<tr>
<td valign="top" align="left">Firmicutes</td>
<td valign="top" align="center">Clostridia</td>
<td valign="top" align="center">Oscillospirales</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">0.13</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">0.007</td>
<td valign="top" align="center">0.08</td>
</tr>
<tr>
<td valign="top" align="left">Firmicutes</td>
<td valign="top" align="center">Clostridia</td>
<td valign="top" align="center">Oscillospirales</td>
<td valign="top" align="center"><italic>Oscillospiraceae</italic></td>
<td valign="top" align="center"><italic>UCG-005 (2)</italic></td>
<td valign="top" align="center">0.05</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">0.02</td>
<td valign="top" align="center">0.18</td>
</tr>
<tr>
<td valign="top" align="left" colspan="9"><bold>Log<sub>10</sub> %methylmercury (of total mercury) in colon</bold></td>
</tr>
<tr>
<td valign="top" align="left">Firmicutes</td>
<td valign="top" align="center">Clostridia</td>
<td valign="top" align="center">Peptostreptococcales-Tissierellales</td>
<td valign="top" align="center"><italic>Peptostreptococcaceae</italic></td>
<td valign="top" align="center"><italic>Romboutsia</italic></td>
<td valign="top" align="center">&#x2013;0.76</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">0.01</td>
<td valign="top" align="center">0.16</td>
</tr>
<tr>
<td valign="top" align="left">Firmicutes</td>
<td valign="top" align="center">Clostridia</td>
<td valign="top" align="center">Peptostreptococcales-Tissierellales</td>
<td valign="top" align="center"><italic>Peptostreptococcaceae</italic></td>
<td valign="top" align="center"><italic>Paeniclostridium</italic></td>
<td valign="top" align="center">&#x2013;0.73</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">0.01</td>
<td valign="top" align="center">0.16</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<attrib><italic>FDR, false discovery rate.</italic></attrib>
</table-wrap-foot>
</table-wrap>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption><p>Associations between the relative abundance of gut microbiota amplicon sequence variants (ASVs, arcsine-square root transformed) and fecal methylmercury (MeHg) <bold>(A&#x2013;C)</bold> or %MeHg [of total mercury (THg)] <bold>(D&#x2013;F)</bold> (both log<sub>10</sub>-transformed), including <bold>(A)</bold> genus <italic>UCG-005</italic> (1) (family: <italic>Oscillospiraceae</italic>), <bold>(B)</bold> order Oscillospirales, <bold>(C)</bold> genus <italic>Bacteroides</italic> (family: <italic>Bacteroidaceae</italic>), <bold>(D)</bold> genus <italic>UCG-005</italic> (1) (family: <italic>Oscillospiraceae</italic>), <bold>(E)</bold> order Oscillospirales, and <bold>(F)</bold> genus <italic>UCG-005 (2)</italic> (family: <italic>Oscillospiraceae</italic>) (<italic>n</italic> = 16 walruses). Each plot includes the linear regression line &#x00B1; standard error of the regression line (see <xref ref-type="table" rid="T4">Table 4</xref>).</p></caption>
<graphic xlink:href="fmicb-12-648685-g003.tif"/>
</fig>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption><p>Associations between the relative abundance of gut microbiota amplicon sequence variants (arcsine-square root transformed) and colon %methylmercury (MeHg) [of total mercury (THg)] (log<sub>10</sub>-transformed), including <bold>(A)</bold> genus <italic>Romboutsia</italic> (family: <italic>Peptostreptococcaceae</italic>) and <bold>(B)</bold> genus <italic>Paeniclostridium</italic> (family: <italic>Peptostreptococcaceae</italic>) (<italic>n</italic> = 16 walruses). Each plot includes the linear regression line &#x00B1; standard error of the regression line (see <xref ref-type="table" rid="T4">Table 4</xref>).</p></caption>
<graphic xlink:href="fmicb-12-648685-g004.tif"/>
</fig>
<p>There were no ASVs that were correlated (positive or negative) with log<sub>10</sub> THg or log<sub>10</sub> IHg in fecal or colon samples (<xref ref-type="supplementary-material" rid="DS1">Supplementary Tables 4</xref>, <xref ref-type="supplementary-material" rid="DS1">5</xref>, <xref ref-type="supplementary-material" rid="DS1">8</xref>, <xref ref-type="supplementary-material" rid="DS1">9</xref>).</p>
</sec>
</sec>
<sec id="S4">
<title>Discussion</title>
<p>The results suggested that dietary MeHg was microbially mediated in the walrus gut, similar to human studies (<xref ref-type="bibr" rid="B46">Rand et al., 2016</xref>; <xref ref-type="bibr" rid="B49">Rothenberg et al., 2016</xref>, <xref ref-type="bibr" rid="B50">2019</xref>; <xref ref-type="bibr" rid="B13">Caito et al., 2018</xref>; <xref ref-type="bibr" rid="B25">Guo et al., 2018</xref>). In fecal and colon samples, MeHg and %MeHg (of THg) were more strongly correlated (positive and negative) with gut microbiota taxa compared to THg and IHg. Additionally, in fecal samples, MeHg and %MeHg (of THg) were more strongly correlated with within-walrus alpha diversity indices compared to THg and IHg.</p>
<sec id="S4.SS1">
<title>Associations Between Colon MeHg and Gut Microbiota ASVs</title>
<p>In walruses, the median %MeHg (of THg) was 10 times higher in the colon compared to fecal samples, suggesting that MeHg was able to pass through the colon into the systemic circulation more so than IHg. In colon samples, %MeHg (of THg) was negatively correlated with two genera, <italic>Romboutsia</italic> and <italic>Paeniclostridium. Romboutsia</italic> spp. are dependent on mucus-degrading microbes for host-derived carbohydrates (<xref ref-type="bibr" rid="B22">Gerritsen et al., 2017</xref>), and thus changes in mucosa production may alter <italic>Romboutsia</italic> abundance. In human studies, the genus <italic>Romboutsia</italic> was depleted more than sixfold in colonic mucosa (with polyps) compared to healthy marginal tissue (<xref ref-type="bibr" rid="B34">Mangifesta et al., 2018</xref>). Similarly, in a separate human study, <italic>Paeniclostridium</italic> spp. were more depleted in colonic tumor mucosa tissues compared with the adjacent normal mucosa tissues (<xref ref-type="bibr" rid="B64">Wang et al., 2020</xref>). Both studies suggested that depletion of <italic>Romboutsia</italic> and <italic>Paeniclostridium</italic> spp. may indicate alterations of the mucosa (<xref ref-type="bibr" rid="B34">Mangifesta et al., 2018</xref>; <xref ref-type="bibr" rid="B64">Wang et al., 2020</xref>). However, among commercial hens, intestinal permeability (measured using the fluorescein isothiocyanate-dextran assay) was negatively associated with <italic>Romboutsia</italic> spp. in cage-free hens and positively associated in conventional caged hens (<xref ref-type="bibr" rid="B67">Wiersema et al., 2021</xref>). The differences were potentially due to the different <italic>Romboutsia</italic> strains found in both types of hens (<xref ref-type="bibr" rid="B67">Wiersema et al., 2021</xref>). A lower relative abundance of both genera in the walrus gut possibly reflected changes in the mucosa, which contributed to a higher proportion of MeHg in the colon tissue.</p>
</sec>
<sec id="S4.SS2">
<title>Variability in MeHg Metabolism vs. Differences in Prey Trophic Level</title>
<p>In walrus fecal samples, %MeHg (of THg) ranged from &#x003C;1 to 30%, suggesting variability in the metabolism of MeHg or differences in prey trophic level. Whisker &#x03B4;<sup>15</sup>N varied by 3.3&#x2030; (range: 12.4&#x2013;15.7&#x2030;), suggesting an increase of one trophic level in prey (<xref ref-type="bibr" rid="B26">Hobson et al., 1996</xref>). Positive associations have been observed between &#x03B4;<sup>15</sup>N and THg or MeHg in Arctic food webs (<xref ref-type="bibr" rid="B5">Aubail et al., 2011</xref>; <xref ref-type="bibr" rid="B19">Clayden et al., 2015</xref>); however, in walrus fecal samples, the associations between &#x03B4;<sup>15</sup>N and Hg parameters, including %MeHg (of THg), were non-significant. The results suggested that variability in MeHg metabolism, more so than differences in prey trophic level, potentially contributed to the wide range of values observed for %MeHg (of THg).</p>
</sec>
<sec id="S4.SS3">
<title>Potential MeHg Degradation in the Walrus Gut</title>
<p>In the walrus gut, a weak positive correlation was observed between fecal THg and %MeHg (of THg) (Spearman&#x2019;s rho: 0.31) (<xref ref-type="table" rid="T3">Table 3</xref>). Conversely, among human pregnant mothers and their neonates, a strong inverse correlation was observed in maternal fecal samples and meconium (Spearman&#x2019;s rho range: &#x2013;0.75 to &#x2013;0.42, <italic>n</italic> = 14&#x2013;28) (<xref ref-type="bibr" rid="B49">Rothenberg et al., 2016</xref>, <xref ref-type="bibr" rid="B50">2019</xref>). An inverse association between THg and %MeHg (of THg) is thought to reflect microbial MeHg degradation. In natural surface waters (lakes, rivers, wetlands, and estuaries), an inverse trend between THg and %MeHg (of THg) was attributed to microbial MeHg degradation using the mer pathway, which involves MerA, the mercuric reductase, and MerB, the organomercurial lyase (<xref ref-type="bibr" rid="B6">Barkay et al., 2003</xref>; <xref ref-type="bibr" rid="B53">Schaefer et al., 2004</xref>). Although an inverse trend between THg and %MeHg (of THg) was observed in fecal samples among human pregnant mothers, a low abundance of <italic>merA</italic> was present in all fecal samples, while <italic>merB</italic> was lacking in all fecal samples (<xref ref-type="bibr" rid="B49">Rothenberg et al., 2016</xref>). These results suggested that other MeHg degradation pathways were potentially more important in the human gut, such as phagocytosis or oxidative demethylation (<xref ref-type="bibr" rid="B49">Rothenberg et al., 2016</xref>). In walrus fecal samples, a weak positive correlation between THg and %MeHg (of THg), rather than an inverse association, suggested that MeHg degradation was potentially less prevalent compared to the human gut. The opposite trend was observed in colon sections compared to fecal samples, suggesting that different mechanisms contributed to the proportion of MeHg (of THg) in each matrix and different organs.</p>
</sec>
<sec id="S4.SS4">
<title>Comparison of Studies Investigating MeHg Exposure and Gut Microbiota</title>
<p>Several human and animal studies have investigated associations between MeHg exposure and gut microbiota communities, and results have varied between studies. For example, among 179 6-week-old infants enrolled in the New Hampshire Birth Cohort Study, exposure to 16 trace elements, including THg, was assessed in infant toenails, and the infant gut microbiota was determined using 16S gene profiling (<xref ref-type="bibr" rid="B30">Laue et al., 2020</xref>). However, there were no statistically significant associations between toenail THg and ASVs in adjusted regression models (<xref ref-type="bibr" rid="B30">Laue et al., 2020</xref>). Among two cohorts of pregnant mothers, fecal MeHg was positively correlated with several gut microbiota taxa, although specific taxa differed between both cohorts, and associations differed longitudinally between early and late gestation (<italic>n</italic> = 17, <xref ref-type="bibr" rid="B49">Rothenberg et al., 2016</xref>; <italic>n</italic> = 52, <xref ref-type="bibr" rid="B50">Rothenberg et al., 2019</xref>).</p>
<p>In studies using experimental animals, MeHg supplementation altered the community structure of the gut microbiota; however, trends for specific taxa were not consistent. For example, among fathead minnows (<italic>Pimephales promelas</italic>), which were fed control (0.02 &#x03BC;g/g), low MeHg (0.87 &#x03BC;g/g), or high MeHg (5.5 &#x03BC;g/g) diets (<italic>n</italic> = 5 tanks/treatment), the relative abundances of 18 taxa differed between the three groups (<xref ref-type="bibr" rid="B12">Bridges et al., 2018</xref>). Male Sprague&#x2013;Dawley rats were administered with MeHg orally (10 &#x03BC;g MeHg/kg bw); <italic>n</italic> = 3 rats/treatment) (<xref ref-type="bibr" rid="B31">Lin et al., 2020</xref>). This MeHg dose was 100 times higher than the National Research Council reference level for MeHg (0.1 &#x03BC;g MeHg/kg bw) (<xref ref-type="bibr" rid="B38">National Research Council, 2000</xref>), and as such, several gut microbiota taxa at the family level were enriched or depleted. In mice orally fed MeHg for 7 days (3.1 &#x03BC;g MeHg/kg bw per day; <italic>n</italic> = 5 mice/treatment), several gut microbiota genera/species were more enriched (or depleted) compared to controls (<xref ref-type="bibr" rid="B68">Zhang et al., 2019</xref>). In these studies, MeHg exposure was associated with enrichment or depletion of gut taxa; however, specific taxa differed.</p>
<p>In the present study, associations were observed (positive and negative) between fecal MeHg and gut microbiota taxa (<xref ref-type="table" rid="T4">Table 4</xref>, <xref ref-type="fig" rid="F3">Figure 3</xref>, and <xref ref-type="supplementary-material" rid="DS1">Supplementary Tables 6</xref>, <xref ref-type="supplementary-material" rid="DS1">7</xref>), which differed from those noted in prior studies (<xref ref-type="bibr" rid="B49">Rothenberg et al., 2016</xref>, <xref ref-type="bibr" rid="B50">2019</xref>; <xref ref-type="bibr" rid="B12">Bridges et al., 2018</xref>; <xref ref-type="bibr" rid="B68">Zhang et al., 2019</xref>; <xref ref-type="bibr" rid="B31">Lin et al., 2020</xref>). The results in both human and animal studies suggest that the direction (and strength) of the association between gut microbiota taxa and MeHg depends potentially on several factors, such as diet, MeHg dose, timing of exposure, and co-exposure to other contaminants or nutrients (<xref ref-type="bibr" rid="B49">Rothenberg et al., 2016</xref>, <xref ref-type="bibr" rid="B50">2019</xref>; <xref ref-type="bibr" rid="B12">Bridges et al., 2018</xref>; <xref ref-type="bibr" rid="B25">Guo et al., 2018</xref>; <xref ref-type="bibr" rid="B68">Zhang et al., 2019</xref>; <xref ref-type="bibr" rid="B30">Laue et al., 2020</xref>; <xref ref-type="bibr" rid="B31">Lin et al., 2020</xref>).</p>
</sec>
<sec id="S4.SS5">
<title>Potential Hg Methylation in the Walrus Gut</title>
<p>In walruses, fecal MeHg and %MeHg (of THg) were both positively correlated with unclassified genera of the Oscillospirales order. Members of the genus <italic>Oscillibacter</italic> (order: Oscillospirales) have been observed in other marine mammals, such as seals from the Arctic and Antarctic (<xref ref-type="bibr" rid="B24">Glad et al., 2010</xref>; <xref ref-type="bibr" rid="B39">Nelson et al., 2013</xref>). It is unclear whether positive associations between fecal MeHg and %MeHg (of THg) and members of the Oscillospirales order potentially reflected microbial IHg methylation. <xref ref-type="bibr" rid="B41">Parks et al. (2013)</xref> identified the gene cluster (<italic>hgcAB</italic>), which is essential for microbial IHg methylation, including a putative corrinoid protein that transfers a methyl group to Hg (HgcA) and a ferredoxin protein that performs corrinoid reduction (HgcB). Using the JGI Integrated Microbial Genomes and Microbiomes database (<xref ref-type="bibr" rid="B18">Chen et al., 2020</xref>), we searched for bacteria containing homologs of the <italic>hgcAB</italic> gene cluster. However, no members of the Oscillospirales order possessed homologs of this gene cluster. Our results suggested that the source of MeHg in fecal samples was potentially from diet, rather than microbial IHg methylation, which would be consistent with prior studies among human populations (<xref ref-type="bibr" rid="B43">Podar et al., 2015</xref>; <xref ref-type="bibr" rid="B49">Rothenberg et al., 2016</xref>). However, it is important to note the Oscillospirales order is poorly studied, and it is possible that they are not currently well-represented in reference datasets.</p>
</sec>
<sec id="S4.SS6">
<title>MeHg Intake and Excretion in Walruses and Humans</title>
<p>Adult male Pacific walruses weigh up to 2,000 kg and eat approximately 2&#x2013;3% of their body weight per day (<xref ref-type="bibr" rid="B28">Kastelein et al., 2000</xref>). Nevertheless, the range of fecal Hg species among walruses was comparable to values reported among Japanese men (<italic>n</italic> = 4; <xref ref-type="bibr" rid="B27">Ishihara, 2000</xref>) and adults in Rochester, NY (<italic>n</italic> = 33; <xref ref-type="bibr" rid="B13">Caito et al., 2018</xref>; <italic>n</italic> = 8, <xref ref-type="bibr" rid="B46">Rand et al., 2016</xref>) (<xref ref-type="table" rid="T5">Table 5</xref> and <xref ref-type="supplementary-material" rid="DS1">Supplementary Table 12</xref>). For example, the median THg concentration was 200 ng/g in walruses and ranged from 130 to 270 ng/g in human studies (<xref ref-type="bibr" rid="B27">Ishihara, 2000</xref>; <xref ref-type="bibr" rid="B46">Rand et al., 2016</xref>; <xref ref-type="bibr" rid="B13">Caito et al., 2018</xref>). The median MeHg concentration was 4.7 ng/g in walruses, which was within the same range of values among adults in Rochester, NY (MeHg range: 0&#x2013;5.9 ng/g) (<xref ref-type="bibr" rid="B46">Rand et al., 2016</xref>; <xref ref-type="bibr" rid="B13">Caito et al., 2018</xref>), but was lower compared to Japanese adults (MeHg range: 21&#x2013;41 ng/g) (<xref ref-type="bibr" rid="B27">Ishihara, 2000</xref>).</p>
<table-wrap position="float" id="T5">
<label>TABLE 5</label>
<caption><p>Comparison of fecal (or colon) mercury concentrations between walruses and humans.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">#</td>
<td valign="top" align="left">Sample</td>
<td valign="top" align="center">Matrix</td>
<td valign="top" align="left">Location</td>
<td valign="top" align="center">Sample size (n)</td>
<td valign="top" align="center">THg (ng/g dw) Median (range)</td>
<td valign="top" align="center">MeHg (ng/g dw) Median (range)</td>
<td valign="top" align="center">%MeHg (of THg) Median (range)</td>
<td valign="top" align="left">References</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">1</td>
<td valign="top" align="left">Walrus</td>
<td valign="top" align="center">Fecal</td>
<td valign="top" align="left">St. Lawrence Island, Alaska, United States</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center">200 (72, 650)</td>
<td valign="top" align="center">4.7 (0.96, 70)</td>
<td valign="top" align="center">2.5 (0.46, 30)</td>
<td valign="top" align="left">This study</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Walrus</td>
<td valign="top" align="center">Colon</td>
<td valign="top" align="left">St. Lawrence Island, Alaska, United States</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center">28 (15, 95)</td>
<td valign="top" align="center">7.8 (3.3, 57)</td>
<td valign="top" align="center">26 (16, 60)</td>
<td valign="top" align="justify"/>
</tr>
<tr>
<td valign="top" align="left">2</td>
<td valign="top" align="left">Adult men<sup><italic>a,b</italic></sup></td>
<td valign="top" align="center">Fecal</td>
<td valign="top" align="left">Japan</td>
<td valign="top" align="center">4 4</td>
<td valign="top" align="center">270 (260&#x2013;290) 190 (120&#x2013;250)</td>
<td valign="top" align="center">41 (15&#x2013;46) 21 (12&#x2013;35)</td>
<td valign="top" align="center">17 (5.3, 29) 12 (8.4&#x2013;32)</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B27">Ishihara (2000)</xref></td>
</tr>
<tr>
<td valign="top" align="left">3</td>
<td valign="top" align="left">Adult men and women<sup><italic>a,c</italic></sup></td>
<td valign="top" align="center">Fecal</td>
<td valign="top" align="left">Rochester, New York, United States</td>
<td valign="top" align="center">8 8</td>
<td valign="top" align="center">160 (95, 390) 170 (33, 600)</td>
<td valign="top" align="center">0<sup><italic>d</italic></sup> (0, 63) 5.9<sup><italic>d</italic></sup> (0, 80)</td>
<td valign="top" align="center">0 (0, 42) 5.9 (0, 23)</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B46">Rand et al., 2016</xref></td>
</tr>
<tr>
<td valign="top" align="left">4</td>
<td valign="top" align="left">Adult men and women<sup><italic>a</italic></sup></td>
<td valign="top" align="center">Fecal</td>
<td valign="top" align="left">Rochester, New York, United States</td>
<td valign="top" align="center">33</td>
<td valign="top" align="center">130 (47&#x2013;270)</td>
<td valign="top" align="center">2.8<sup><italic>d</italic></sup> (0, 54)</td>
<td valign="top" align="center">2.3 (0, 71)</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B13">Caito et al., 2018</xref></td>
</tr>
<tr>
<td valign="top" align="left">5</td>
<td valign="top" align="left">Pregnant mothers, Late gestation<sup><italic>e</italic></sup></td>
<td valign="top" align="center">Fecal</td>
<td valign="top" align="left">Greenville, South Carolina, United States</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">30 (2.1&#x2013;810)</td>
<td valign="top" align="center">0.060 (0.0025&#x2013;0.39)</td>
<td valign="top" align="center">0.12 (0.0058, 5.8)</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B49">Rothenberg et al., 2016</xref></td>
</tr>
<tr>
<td valign="top" align="left">6</td>
<td valign="top" align="left">Pregnant mothers, Early gestation<sup><italic>f</italic></sup></td>
<td valign="top" align="center">Fecal</td>
<td valign="top" align="left">Charleston, South Carolina, United States</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">28 (1.1, 1,400)</td>
<td valign="top" align="center">0.035 (0.0029, 2.1)</td>
<td valign="top" align="center">0.12 (0.00031, 8.9)</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B50">Rothenberg et al., 2019</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Pregnant mothers, Late gestation<sup><italic>f</italic></sup></td>
<td valign="top" align="center">Fecal</td>
<td valign="top" align="left">Charleston, South Carolina, United States</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">19 (1.0, 400)</td>
<td valign="top" align="center">0.0093 (0.0013, 1.7)</td>
<td valign="top" align="center">0.050 (0.0025, 2.0)</td>
<td valign="top" align="justify"/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Neonates</td>
<td valign="top" align="center">Meconium</td>
<td valign="top" align="left">Charleston, South Carolina, United States</td>
<td valign="top" align="center">14&#x2013;17<sup><italic>g</italic></sup></td>
<td valign="top" align="center">3.9 (0.64, 11)</td>
<td valign="top" align="center">0.0078 (&#x003C;MDL, 0.078)</td>
<td valign="top" align="center">0.34 (0.055, 0.84)</td>
<td valign="top" align="justify"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<attrib><italic>dw, dry weight; MDL, method detection level; MeHg, methylmercury; THg, total mercury. <sup><italic>a</italic></sup>THg and MeHg concentrations were reported in wet weight (<xref ref-type="bibr" rid="B27">Ishihara, 2000</xref>; <xref ref-type="bibr" rid="B46">Rand et al., 2016</xref>; <xref ref-type="bibr" rid="B13">Caito et al., 2018</xref>). Using an average wet/dry ratio for human fecal samples (4.18 unitless) (<xref ref-type="bibr" rid="B50">Rothenberg et al., 2019</xref>), the THg and MeHg concentrations were converted from wet weight to dry weight (see <xref ref-type="supplementary-material" rid="DS1">Supplementary Table 12</xref> for THg and MeHg concentrations in wet weight). <sup><italic>b</italic></sup>Samples were collected twice from the participants, in August 1997 and June 1998 (<xref ref-type="bibr" rid="B27">Ishihara, 2000</xref>). <sup><italic>c</italic></sup>Samples were collected twice from eight participants, after trial 1 and after trial 2 (<xref ref-type="bibr" rid="B46">Rand et al., 2016</xref>). <sup><italic>d</italic></sup>MeHg was estimated by subtraction (=total mercury - inorganic mercury). <sup><italic>e</italic></sup>Late gestation: 36&#x2013;39 weeks of gestation (<xref ref-type="bibr" rid="B49">Rothenberg et al., 2016</xref>). <sup><italic>f</italic></sup>Early gestation: 8.3&#x2013;17 weeks of gestation; late gestation: 27&#x2013;36 weeks of gestation (<xref ref-type="bibr" rid="B50">Rothenberg et al., 2019</xref>). <sup><italic>g</italic></sup>Sample size: THg (<italic>n</italic> = 14), MeHg (<italic>n</italic> = 17), and %MeHg (of THg) (<italic>n</italic> = 14) (<xref ref-type="bibr" rid="B50">Rothenberg et al., 2019</xref>).</italic></attrib>
</table-wrap-foot>
</table-wrap>
<p>One potential explanation concerns the different trophic levels of seafood or marine prey ingested. The Pacific walrus typically feeds on lower-trophic-level clams and other bivalves (<xref ref-type="bibr" rid="B57">Sheffield and Grebmeier, 2009</xref>), while participants in human studies ingested higher-trophic-level seafood, including tuna steaks (<xref ref-type="bibr" rid="B27">Ishihara, 2000</xref>; <xref ref-type="bibr" rid="B46">Rand et al., 2016</xref>; <xref ref-type="bibr" rid="B13">Caito et al., 2018</xref>). Due to biomagnification of MeHg in the aquatic food web, concentrations of MeHg are much higher in tuna compared to bivalves (<xref ref-type="bibr" rid="B62">U.S. Food and Drug Administration, 2014</xref>). For example, a 1,226-kg male Atlantic walrus (<italic>Odobenus rosmarus rosmarus</italic>) ingested 57 kg/day of bivalves (95% confidence interval: 41&#x2013;72 kg/day) (<xref ref-type="bibr" rid="B9">Born et al., 2003</xref>). Using the median THg concentration in clams (0.002 &#x03BC;g/g wet weight) (<xref ref-type="bibr" rid="B62">U.S. Food and Drug Administration, 2014</xref>), the Atlantic walrus potentially ingested 798 &#x03BC;g Hg/week (95% confidence interval: 574&#x2013;1,000 &#x03BC;g Hg/week). In addition to bivalves, Pacific walruses also occasionally ingest higher-trophic-level prey, including forage fish, seabirds and other pinniped species, such as ice seals (<xref ref-type="bibr" rid="B57">Sheffield and Grebmeier, 2009</xref>; <xref ref-type="bibr" rid="B10">Bowles and Trites, 2013</xref>; <xref ref-type="bibr" rid="B56">Seymour et al., 2014</xref>; <xref ref-type="bibr" rid="B36">Maniscalco et al., 2020</xref>; <xref ref-type="bibr" rid="B59">Sonsthagen et al., 2020</xref>). Nevertheless, the range of values estimated for Pacific walruses was still 2.8&#x2013;14.5 times higher than the weekly Hg ingestion rate reported for adults in Rochester, NY (144&#x2013;360 &#x03BC;g Hg/week, <xref ref-type="bibr" rid="B13">Caito et al., 2018</xref>; 100&#x2013;150 &#x03BC;g Hg/week, <xref ref-type="bibr" rid="B46">Rand et al., 2016</xref>), and in Japan (70 &#x03BC;g Hg/week) (<xref ref-type="bibr" rid="B27">Ishihara, 2000</xref>). Given the amount of marine prey ingested by walruses, our results suggest that walruses absorb a higher percentage of MeHg into their tissues and excrete less MeHg compared to some human studies (<xref ref-type="bibr" rid="B27">Ishihara, 2000</xref>; <xref ref-type="bibr" rid="B46">Rand et al., 2016</xref>; <xref ref-type="bibr" rid="B13">Caito et al., 2018</xref>).</p>
</sec>
<sec id="S4.SS7">
<title>Limitations</title>
<p>Although our study has many strengths, there are some limitations to note. First, this was a cross-sectional study, and it was not possible to determine the direction of causality between gut microbiota taxa and Hg species in fecal and colon samples. Although microbial degradation of MeHg was potentially important, it was also possible that MeHg impacted the community structure of the gut microbiota (<xref ref-type="bibr" rid="B12">Bridges et al., 2018</xref>; <xref ref-type="bibr" rid="B68">Zhang et al., 2019</xref>; <xref ref-type="bibr" rid="B31">Lin et al., 2020</xref>). Positive associations between gut microbiota alpha diversity indices and MeHg and %MeHg (of THg) suggested that MeHg potentially impacted the gut microbiota, although the mechanisms were uncertain. In addition, our sample size was limited; however, our results suggested that associations between MeHg and gut microbiota differed from IHg, which was consistent with prior studies in humans (<xref ref-type="bibr" rid="B49">Rothenberg et al., 2016</xref>, <xref ref-type="bibr" rid="B50">2019</xref>). As noted in the section &#x201C;Materials and Methods,&#x201D; we used the Earth Microbiome Project-modified primer pair 515F-806R, which does not give a full picture of the archaeal members of the microbiome (<xref ref-type="bibr" rid="B42">Pausan et al., 2019</xref>). While <italic>hgcAB</italic> has been reported in Bacteria, it has also been found in multiple Archaea (including the gut commensal, <italic>M. luminyensis</italic>) (<xref ref-type="bibr" rid="B41">Parks et al., 2013</xref>), and thus some potentially important microbes, relevant to Hg metabolism, were not likely represented in the sequence dataset. There was an insufficient mass of remaining fecal sample for analyses of the <italic>hgcAB</italic> gene cluster (<xref ref-type="bibr" rid="B23">Gionfriddo et al., 2020</xref>) or MeHg demethylation (<xref ref-type="bibr" rid="B32">Lu et al., 2016</xref>); however, these assays will be included in future studies.</p>
</sec>
</sec>
<sec id="S5">
<title>Conclusion</title>
<p>In conclusion, variability in MeHg metabolism was observed in Pacific walruses, which was not likely due to differences in prey trophic level. The source of MeHg in the gut was potentially from consumption of marine prey, rather than microbial IHg methylation within the digestive tract. Despite the amount of marine prey ingested by walruses, less MeHg appeared to be excreted by walruses compared to some human studies. Moreover, fecal MeHg and %MeHg (of THg) were weakly positively correlated in walruses, which differed from human studies, and suggested that MeHg degradation was potentially less prevalent in the walrus gut. Accumulation of MeHg in colon tissue possibly reflected alterations in the mucosa. In paired fecal&#x2013;colon samples from walruses, MeHg was more concentrated in the colon compared to fecal samples, suggesting that MeHg was able to pass through the colon tissue into systemic circulation. Thus, MeHg metabolism in the Pacific walrus may contribute to relatively higher MeHg accumulation in walrus tissues, which is important for the Arctic indigenous communities who ingest walruses and other marine foods as part of their diet (<xref ref-type="bibr" rid="B3">Arctic Monitoring and Assessment Program (AMAP), 2011</xref>).</p>
</sec>
<sec id="S6">
<title>Data Availability Statement</title>
<p>The 16S rRNA gene sequencing data generated for this study have been deposited to the National Center for Biotechnology Information (NCBI) under accession number <ext-link ext-link-type="DDBJ/EMBL/GenBank" xlink:href="PRJNA705500">PRJNA705500</ext-link>.</p>
</sec>
<sec id="S7">
<title>Ethics Statement</title>
<p>Ethical review and approval was not required for the animal study because the Oregon State University IACUC issued a waiver. The samples were collected by Alaskan hunters as part of the Alaskan Subsistence Harvest, through the US Fish and Wildlife Service.</p>
</sec>
<sec id="S8">
<title>Author Contributions</title>
<p>HB, SS, and BB conceived and designed the study and collected and analyzed the data. DS, BR, CC, LC, and SR contributed to the data collection and analysis. SR wrote the manuscript. All the authors contributed to manuscript revision and read and approved the manuscript.</p>
</sec>
<sec sec-type="COI-statement" id="conf1">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
</body>
<back>
<fn-group>
<fn fn-type="financial-disclosure">
<p><bold>Funding.</bold> This study was funded in part by a grant to HB, SS, and BB from the National Geographic Society (Grant No. NGS-50280C-18). This study was partially prepared by the Oregon Sea Grant under Award No. NA18OAR4170072 (Project No. R/ECO-42-Rothenberg2022) from the National Oceanic and Atmospheric Administration&#x2019;s National Sea Grant College Program, US Department of Commerce, and by appropriations made by the Oregon State Legislature. The statements, findings, conclusions, and recommendations are those of the authors and do not necessarily reflect the views of these funders.</p>
</fn>
</fn-group>
<ack>
<p>We thank the Eskimo Walrus Commission and the Alaskan Native Villages of Gambell and Savoonga for their efforts and their willingness to collect and provide walrus tissue samples from their subsistence harvests. We also gratefully acknowledge the US Fish and Wildlife Service for logistical coordination.</p>
</ack>
<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/fmicb.2021.648685/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fmicb.2021.648685/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Data_Sheet_1.docx" id="DS1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
<ref-list>
<title>References</title>
<ref id="B1"><citation citation-type="journal"><collab>Alaska Department of Fish and Game (ADFG)</collab> (<year>2020</year>). <source><italic>Pacific Walrus (Odobenus rosmarus divergens) Species Profile.</italic></source> Available online at: <ext-link ext-link-type="uri" xlink:href="https://www.adfg.alaska.gov/index.cfm?adfg=walrus.main">https://www.adfg.alaska.gov/index.cfm?adfg=walrus.main</ext-link> <comment>(accessed March 16, 2021)</comment>.</citation></ref>
<ref id="B2"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Apprill</surname> <given-names>A.</given-names></name> <name><surname>McNally</surname> <given-names>S.</given-names></name> <name><surname>Parsons</surname> <given-names>R.</given-names></name> <name><surname>Weber</surname> <given-names>L.</given-names></name></person-group> (<year>2015</year>). <article-title>Minor revision to V4 region SSU rRNA 806R gene primer greatly increases detection of SAR11 bacterioplankton.</article-title> <source><italic>Aquat. Microb. Ecol.</italic></source> <volume>75</volume> <fpage>129</fpage>&#x2013;<lpage>137</lpage>. <pub-id pub-id-type="doi">10.3354/ame01753</pub-id></citation></ref>
<ref id="B3"><citation citation-type="journal"><collab>Arctic Monitoring and Assessment Program (AMAP)</collab> (<year>2011</year>). <source><italic>AMAP Assessment 2011: Mercury in the Arctic.</italic></source> <publisher-loc>Oslo</publisher-loc>: <publisher-name>Arctic Monitoring and Assessment Programme (AMAP)</publisher-name>.</citation></ref>
<ref id="B4"><citation citation-type="journal"><collab>Arctic Monitoring and Assessment Program (AMAP)</collab> (<year>2018</year>). <source><italic>AMAP Assessment 2018: Biological Effects of Contaminants on Arctic Wildlife and Fish.</italic></source> <publisher-loc>Troms&#x00F8;</publisher-loc>: <publisher-name>Arctic Monitoring and Assessment Programme (AMAP)</publisher-name>.</citation></ref>
<ref id="B5"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Aubail</surname> <given-names>A.</given-names></name> <name><surname>Teilmann</surname> <given-names>J.</given-names></name> <name><surname>Dietz</surname> <given-names>R.</given-names></name> <name><surname>Rig&#x00E9;t</surname> <given-names>F.</given-names></name> <name><surname>Harkonen</surname> <given-names>T.</given-names></name> <name><surname>Karlsson</surname> <given-names>O.</given-names></name><etal/></person-group> (<year>2011</year>). <article-title>Investigation of mercury concentrations in fur of phocid seals using stable isotopes as tracers of trophic levels and geographical regions.</article-title> <source><italic>Polar Biol.</italic></source> <volume>34</volume> <fpage>1411</fpage>&#x2013;<lpage>1420</lpage>. <pub-id pub-id-type="doi">10.1007/s00300-011-0996-z</pub-id></citation></ref>
<ref id="B6"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Barkay</surname> <given-names>T.</given-names></name> <name><surname>Miller</surname> <given-names>S. M.</given-names></name> <name><surname>Summers</surname> <given-names>A. O.</given-names></name></person-group> (<year>2003</year>). <article-title>Bacterial mercury resistance from atoms to ecosystems.</article-title> <source><italic>FEMS Microbiol. Rev.</italic></source> <volume>27</volume> <fpage>355</fpage>&#x2013;<lpage>384</lpage>. <pub-id pub-id-type="doi">10.1016/s0168-6445(03)00046-9</pub-id></citation></ref>
<ref id="B7"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Bloom</surname> <given-names>N. S.</given-names></name></person-group> (<year>1992</year>). <article-title>On the chemical form of mercury in edible fish and marine invertebrate tissue.</article-title> <source><italic>Can. J. Fish Aquat. Sci.</italic></source> <volume>49</volume> <fpage>1010</fpage>&#x2013;<lpage>1017</lpage>. <pub-id pub-id-type="doi">10.1139/f92-113</pub-id></citation></ref>
<ref id="B8"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Bloom</surname> <given-names>N. S.</given-names></name> <name><surname>Colman</surname> <given-names>J. A.</given-names></name> <name><surname>Barber</surname> <given-names>L.</given-names></name></person-group> (<year>1997</year>). <article-title>Artifact formation of methyl mercury during aqueous distillation and alternative techniques for the extraction of methyl mercury from environmental samples.</article-title> <source><italic>Fresenius J. Anal. Chem.</italic></source> <volume>358</volume> <fpage>371</fpage>&#x2013;<lpage>377</lpage>. <pub-id pub-id-type="doi">10.1007/s002160050432</pub-id></citation></ref>
<ref id="B9"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Born</surname> <given-names>E. W.</given-names></name> <name><surname>Rysgaard</surname> <given-names>S.</given-names></name> <name><surname>Ehlme</surname> <given-names>G.</given-names></name> <name><surname>Sejr</surname> <given-names>M.</given-names></name> <name><surname>Acquarone</surname> <given-names>M.</given-names></name> <name><surname>Levermann</surname> <given-names>N.</given-names></name></person-group> (<year>2003</year>). <article-title>Underwater observations of foraging free-living Atlantic walruses (<italic>Odobenus rosmarus rosmarus</italic>) and estimates of their food consumption.</article-title> <source><italic>Polar Biol.</italic></source> <volume>26</volume> <fpage>348</fpage>&#x2013;<lpage>357</lpage>. <pub-id pub-id-type="doi">10.1007/s00300-003-0486-z</pub-id></citation></ref>
<ref id="B10"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Bowles</surname> <given-names>E.</given-names></name> <name><surname>Trites</surname> <given-names>A. W.</given-names></name></person-group> (<year>2013</year>). <article-title>Faecal DNA amplification in Pacific walruses (<italic>Odobenus rosmarus divergens</italic>).</article-title> <source><italic>Polar Biol.</italic></source> <volume>36</volume> <fpage>755</fpage>&#x2013;<lpage>759</lpage>. <pub-id pub-id-type="doi">10.1007/s00300-013-1296-6</pub-id></citation></ref>
<ref id="B11"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Braune</surname> <given-names>B.</given-names></name> <name><surname>Chetelat</surname> <given-names>J.</given-names></name> <name><surname>Amyot</surname> <given-names>M.</given-names></name> <name><surname>Brown</surname> <given-names>T.</given-names></name> <name><surname>Clayden</surname> <given-names>M.</given-names></name> <name><surname>Evans</surname> <given-names>M.</given-names></name><etal/></person-group> (<year>2015</year>). <article-title>Mercury in the marine environment of the Canadian Arctic: review of recent findings.</article-title> <source><italic>Sci. Total Environ.</italic></source> <volume>50</volume> <fpage>67</fpage>&#x2013;<lpage>90</lpage>. <pub-id pub-id-type="doi">10.1016/j.scitotenv.2014.05.133</pub-id> <pub-id pub-id-type="pmid">24953756</pub-id></citation></ref>
<ref id="B12"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Bridges</surname> <given-names>K. N.</given-names></name> <name><surname>Zhang</surname> <given-names>Y.</given-names></name> <name><surname>Curran</surname> <given-names>T. E.</given-names></name> <name><surname>Magnuson</surname> <given-names>J. T.</given-names></name> <name><surname>Venables</surname> <given-names>B. J.</given-names></name> <name><surname>Durrer</surname> <given-names>K. E.</given-names></name><etal/></person-group> (<year>2018</year>). <article-title>Alterations to the intestinal microbiome and metabolome of <italic>Pimephales promelas</italic> and <italic>Mus musculus</italic> following exposure to dietary methylmercury.</article-title> <source><italic>Environ. Sci. Technol.</italic></source> <volume>52</volume> <fpage>8774</fpage>&#x2013;<lpage>8784</lpage>. <pub-id pub-id-type="doi">10.1021/acs.est.8b01150</pub-id> <pub-id pub-id-type="pmid">29943971</pub-id></citation></ref>
<ref id="B13"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Caito</surname> <given-names>S. W.</given-names></name> <name><surname>Jackson</surname> <given-names>B. P.</given-names></name> <name><surname>Punshon</surname> <given-names>T.</given-names></name> <name><surname>Scrimale</surname> <given-names>T.</given-names></name> <name><surname>Grier</surname> <given-names>A.</given-names></name> <name><surname>Gill</surname> <given-names>S. R.</given-names></name><etal/></person-group> (<year>2018</year>). <article-title>Variation in methylmercury metabolism and elimination status in humans following fish consumption.</article-title> <source><italic>Toxicol. Sci.</italic></source> <volume>161</volume> <fpage>443</fpage>&#x2013;<lpage>453</lpage>. <pub-id pub-id-type="doi">10.1093/toxsci/kfx226</pub-id> <pub-id pub-id-type="pmid">29145616</pub-id></citation></ref>
<ref id="B14"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Callahan</surname> <given-names>B. J.</given-names></name> <name><surname>McMurdie</surname> <given-names>P. J.</given-names></name> <name><surname>Rosen</surname> <given-names>M. J.</given-names></name> <name><surname>Han</surname> <given-names>A. W.</given-names></name> <name><surname>Johnson</surname> <given-names>A. J. A.</given-names></name> <name><surname>Holmes</surname> <given-names>S. P.</given-names></name></person-group> (<year>2016</year>). <article-title>DADA2: high resolution sample inference from Illumina amplicon data.</article-title> <source><italic>Nat. Methods</italic></source> <volume>13</volume> <fpage>581</fpage>&#x2013;<lpage>583</lpage>. <pub-id pub-id-type="doi">10.1038/nmeth.3869</pub-id> <pub-id pub-id-type="pmid">27214047</pub-id></citation></ref>
<ref id="B15"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Caporaso</surname> <given-names>J. G.</given-names></name> <name><surname>Lauber</surname> <given-names>C. L.</given-names></name> <name><surname>Walters</surname> <given-names>W. A.</given-names></name> <name><surname>Berg-Lyons</surname> <given-names>D.</given-names></name> <name><surname>Lozupone</surname> <given-names>C. A.</given-names></name> <name><surname>Turnbaugh</surname> <given-names>P.</given-names></name><etal/></person-group> (<year>2011</year>). <article-title>Global patterns of 16S rRNA diversity at a depth of millions of sequences per sample.</article-title> <source><italic>Proc. Natl. Acad. Sci. U.S.A.</italic></source> <volume>108</volume> <fpage>4516</fpage>&#x2013;<lpage>4522</lpage>. <pub-id pub-id-type="doi">10.1073/pnas.1000080107</pub-id> <pub-id pub-id-type="pmid">20534432</pub-id></citation></ref>
<ref id="B16"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Caporaso</surname> <given-names>J. G.</given-names></name> <name><surname>Lauber</surname> <given-names>C. L.</given-names></name> <name><surname>Walters</surname> <given-names>W. A.</given-names></name> <name><surname>Berg-Lyons</surname> <given-names>D.</given-names></name> <name><surname>Huntley</surname> <given-names>J.</given-names></name> <name><surname>Fierer</surname> <given-names>N.</given-names></name><etal/></person-group> (<year>2012</year>). <article-title>Ultra-high-throughput microbial community analysis on the Illumina HiSeq and MiSeq platforms.</article-title> <source><italic>ISME J.</italic></source> <volume>6</volume> <fpage>1621</fpage>&#x2013;<lpage>1624</lpage>. <pub-id pub-id-type="doi">10.1038/ismej.2012.8</pub-id> <pub-id pub-id-type="pmid">22402401</pub-id></citation></ref>
<ref id="B17"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Caurant</surname> <given-names>F.</given-names></name> <name><surname>Navarro</surname> <given-names>M.</given-names></name> <name><surname>Amiard</surname> <given-names>J.-C.</given-names></name></person-group> (<year>1996</year>). <article-title>Mercury in pilot whales: possible limits to the detoxification process.</article-title> <source><italic>Sci. Total Environ.</italic></source> <volume>186</volume> <fpage>95</fpage>&#x2013;<lpage>104</lpage>. <pub-id pub-id-type="doi">10.1016/0048-9697(96)05087-5</pub-id></citation></ref>
<ref id="B18"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Chen</surname> <given-names>I. M. A.</given-names></name> <name><surname>Chu</surname> <given-names>K.</given-names></name> <name><surname>Palaniappan</surname> <given-names>K.</given-names></name> <name><surname>Ratner</surname> <given-names>A.</given-names></name> <name><surname>Huang</surname> <given-names>J.</given-names></name> <name><surname>Huntemann</surname> <given-names>M.</given-names></name><etal/></person-group> (<year>2020</year>). <article-title>The IMG/M data management and analysis system v.6.0: new tools and advanced capabilities.</article-title> <source><italic>Nucleic Acids Res.</italic></source> <volume>49</volume> <fpage>D751</fpage>&#x2013;<lpage>D763</lpage>. <pub-id pub-id-type="doi">10.1093/nar/gkaa939</pub-id> <pub-id pub-id-type="pmid">33119741</pub-id></citation></ref>
<ref id="B19"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Clayden</surname> <given-names>M. G.</given-names></name> <name><surname>Arsenault</surname> <given-names>L. M.</given-names></name> <name><surname>Kidd</surname> <given-names>K. A.</given-names></name> <name><surname>O&#x2019;Driscoll</surname> <given-names>N. J.</given-names></name> <name><surname>Mallory</surname> <given-names>M. L.</given-names></name></person-group> (<year>2015</year>). <article-title>Mercury bioaccumulation and biomagnification in a small Arctic polynya ecosystem.</article-title> <source><italic>Sci. Total Environ.</italic></source> <volume>509-510</volume> <fpage>206</fpage>&#x2013;<lpage>215</lpage>. <pub-id pub-id-type="doi">10.1016/j.scitotenv.2014.07.087</pub-id> <pub-id pub-id-type="pmid">25149682</pub-id></citation></ref>
<ref id="B20"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Den</surname> <given-names>L.-A.</given-names></name> <name><surname>Follmann</surname> <given-names>E. H.</given-names></name> <name><surname>Thomas</surname> <given-names>D. L.</given-names></name> <name><surname>Sheffield</surname> <given-names>G. G.</given-names></name> <name><surname>Rosa</surname> <given-names>C.</given-names></name> <name><surname>Duffy</surname> <given-names>L. K.</given-names></name><etal/></person-group> (<year>2006</year>). <article-title>Trophic relationships in an Arctic food web and implications for trace metal transfer.</article-title> <source><italic>Sci. Total Environ.</italic></source> <volume>362</volume> <fpage>103</fpage>&#x2013;<lpage>123</lpage>. <pub-id pub-id-type="doi">10.1016/j.scitotenv.2005.11.012</pub-id> <pub-id pub-id-type="pmid">16387350</pub-id></citation></ref>
<ref id="B21"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Dietz</surname> <given-names>R.</given-names></name> <name><surname>Sonne</surname> <given-names>C.</given-names></name> <name><surname>Basu</surname> <given-names>N.</given-names></name> <name><surname>Braune</surname> <given-names>B.</given-names></name> <name><surname>O&#x2019;Hara</surname> <given-names>T.</given-names></name> <name><surname>Letcher</surname> <given-names>R. J.</given-names></name><etal/></person-group> (<year>2013</year>). <article-title>What are the toxicological effects of mercury in Arctic biota?</article-title> <source><italic>Sci. Total Environ.</italic></source> <volume>443</volume> <fpage>775</fpage>&#x2013;<lpage>790</lpage>.</citation></ref>
<ref id="B22"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Gerritsen</surname> <given-names>J.</given-names></name> <name><surname>Hornung</surname> <given-names>B.</given-names></name> <name><surname>Renckens</surname> <given-names>B.</given-names></name> <name><surname>van Hijum</surname> <given-names>S. A. F. T.</given-names></name> <name><surname>dos Santos</surname> <given-names>V. A. P. M.</given-names></name> <name><surname>Rijkers</surname> <given-names>G. T.</given-names></name><etal/></person-group> (<year>2017</year>). <article-title>Genomic and functional analysis of <italic>Romboutsia ilealis</italic> CRIBT reveals adaptation to the small intestine.</article-title> <source><italic>PeerJ</italic></source> <volume>5</volume>:<issue>e3698</issue>. <pub-id pub-id-type="doi">10.7717/peerj.3698</pub-id> <pub-id pub-id-type="pmid">28924494</pub-id></citation></ref>
<ref id="B23"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Gionfriddo</surname> <given-names>C. M.</given-names></name> <name><surname>Wymore</surname> <given-names>A. M.</given-names></name> <name><surname>Jones</surname> <given-names>D. S.</given-names></name> <name><surname>Wilpiszeski</surname> <given-names>R. L.</given-names></name> <name><surname>Lynes</surname> <given-names>M. M.</given-names></name> <name><surname>Christensen</surname> <given-names>G. A.</given-names></name><etal/></person-group> (<year>2020</year>). <article-title>An improved <italic>hgcAB</italic> primer set and direct high-throughput sequencing expand Hg-methylator diversity in nature.</article-title> <source><italic>Front. Microbiol.</italic></source> <volume>11</volume>:<issue>541554</issue>. <pub-id pub-id-type="doi">10.3389/fmicb.2020.541554</pub-id> <pub-id pub-id-type="pmid">33123100</pub-id></citation></ref>
<ref id="B24"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Glad</surname> <given-names>T.</given-names></name> <name><surname>Kristiansen</surname> <given-names>V. F.</given-names></name> <name><surname>Nielsen</surname> <given-names>K. M.</given-names></name> <name><surname>Brusetti</surname> <given-names>L.</given-names></name> <name><surname>Wright</surname> <given-names>A.-D. G.</given-names></name> <name><surname>Sundset</surname> <given-names>M. A.</given-names></name></person-group> (<year>2010</year>). <article-title>Ecological characterization of the colonic microbiota in Arctic and sub-Arctic seals.</article-title> <source><italic>Microb. Ecol.</italic></source> <volume>60</volume> <fpage>320</fpage>&#x2013;<lpage>330</lpage>. <pub-id pub-id-type="doi">10.1007/s00248-010-9690-x</pub-id> <pub-id pub-id-type="pmid">20523986</pub-id></citation></ref>
<ref id="B25"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Guo</surname> <given-names>G.</given-names></name> <name><surname>Yumvihoze</surname> <given-names>E.</given-names></name> <name><surname>Poulain</surname> <given-names>A. J.</given-names></name> <name><surname>Chan</surname> <given-names>H. M.</given-names></name></person-group> (<year>2018</year>). <article-title>Monomethylmercury degradation by the human gut microbiota is stimulated by protein amendments.</article-title> <source><italic>J. Toxicol. Sci.</italic></source> <volume>43</volume> <fpage>717</fpage>&#x2013;<lpage>725</lpage>. <pub-id pub-id-type="doi">10.2131/jts.43.717</pub-id> <pub-id pub-id-type="pmid">30518709</pub-id></citation></ref>
<ref id="B26"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hobson</surname> <given-names>K. A.</given-names></name> <name><surname>Schell</surname> <given-names>D. M.</given-names></name> <name><surname>Renouf</surname> <given-names>D.</given-names></name> <name><surname>Noseworthy</surname> <given-names>E.</given-names></name></person-group> (<year>1996</year>). <article-title>Stable carbon and nitrogen isotopic fractionation between diet and tissues of captive seals: implications for dietary reconstructions involving marine mammals.</article-title> <source><italic>Can. J. Fish. Aquat. Sci.</italic></source> <volume>53</volume> <fpage>528</fpage>&#x2013;<lpage>533</lpage>. <pub-id pub-id-type="doi">10.1139/f95-209</pub-id></citation></ref>
<ref id="B27"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ishihara</surname> <given-names>N.</given-names></name></person-group> (<year>2000</year>). <article-title>Excretion of methyl mercury in human feces.</article-title> <source><italic>Arch. Environ. Health.</italic></source> <volume>55</volume> <fpage>44</fpage>&#x2013;<lpage>47</lpage>. <pub-id pub-id-type="doi">10.1080/00039890009603384</pub-id> <pub-id pub-id-type="pmid">10735519</pub-id></citation></ref>
<ref id="B28"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kastelein</surname> <given-names>R. A.</given-names></name> <name><surname>Schooneman</surname> <given-names>N. M.</given-names></name> <name><surname>Wiepkema</surname> <given-names>P. R.</given-names></name></person-group> (<year>2000</year>). <article-title>Food consumption and body weight of captive Pacific walruses (<italic>Odobenus rosmarus divergens</italic>).</article-title> <source><italic>Aquat. Mamm.</italic></source> <volume>26</volume> <fpage>175</fpage>&#x2013;<lpage>190</lpage>.</citation></ref>
<ref id="B29"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lailson-Brito</surname> <given-names>J.</given-names></name> <name><surname>Cruz</surname> <given-names>R.</given-names></name> <name><surname>Dorneles</surname> <given-names>P. R.</given-names></name> <name><surname>Andrade</surname> <given-names>L.</given-names></name> <name><surname>de Freitas Azevedo</surname> <given-names>A.</given-names></name> <name><surname>Fragoso</surname> <given-names>A. B.</given-names></name><etal/></person-group> (<year>2012</year>). <article-title>Mercury-selenium relationships in liver of Guiana dolphin: the possible role of Kupffer cells in the detoxification process by tiemannite formation.</article-title> <source><italic>PLoS One</italic></source> <volume>7</volume>:<issue>e42162</issue>. <pub-id pub-id-type="doi">10.1371/journal.pone.0042162</pub-id> <pub-id pub-id-type="pmid">22860072</pub-id></citation></ref>
<ref id="B30"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Laue</surname> <given-names>H. E.</given-names></name> <name><surname>Moroishi</surname> <given-names>Y.</given-names></name> <name><surname>Jackson</surname> <given-names>B. P.</given-names></name> <name><surname>Palys</surname> <given-names>T. J.</given-names></name> <name><surname>Madan</surname> <given-names>J. C.</given-names></name> <name><surname>Karagas</surname> <given-names>M. R.</given-names></name></person-group> (<year>2020</year>). <article-title>Nutrient-toxic element mixtures and the early postnatal gut microbiome in a United States longitudinal birth cohort.</article-title> <source><italic>Environ. Int.</italic></source> <volume>138</volume>:<issue>10563</issue>. <pub-id pub-id-type="doi">10.1016/j.envint.2020.105613</pub-id> <pub-id pub-id-type="pmid">32142916</pub-id></citation></ref>
<ref id="B31"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lin</surname> <given-names>X.</given-names></name> <name><surname>Zhao</surname> <given-names>J.</given-names></name> <name><surname>Zhang</surname> <given-names>W.</given-names></name> <name><surname>He</surname> <given-names>L.</given-names></name> <name><surname>Wang</surname> <given-names>L.</given-names></name> <name><surname>Chang</surname> <given-names>D.</given-names></name><etal/></person-group> (<year>2020</year>). <article-title>Acute oral methylmercury exposure perturbs the gut microbiome and alters gut-brain axis related metabolites in rats.</article-title> <source><italic>Ecotoxicol. Environ. Saf.</italic></source> <volume>190</volume>:<issue>110130</issue>. <pub-id pub-id-type="doi">10.1016/j.ecoenv.2019.110130</pub-id> <pub-id pub-id-type="pmid">31918252</pub-id></citation></ref>
<ref id="B32"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lu</surname> <given-names>X.</given-names></name> <name><surname>Liu</surname> <given-names>Y.</given-names></name> <name><surname>Johs</surname> <given-names>A.</given-names></name> <name><surname>Zhao</surname> <given-names>L.</given-names></name> <name><surname>Wang</surname> <given-names>T.</given-names></name> <name><surname>Yang</surname> <given-names>Z.</given-names></name><etal/></person-group> (<year>2016</year>). <article-title>Anaerobic mercury methylation and demethylation by <italic>Geobacter bemidjiensis</italic> Bem.</article-title> <source><italic>Environ. Sci. Technol.</italic></source> <volume>50</volume> <fpage>4366</fpage>&#x2013;<lpage>4373</lpage>.</citation></ref>
<ref id="B33"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Mallick</surname> <given-names>H.</given-names></name> <name><surname>McIver</surname> <given-names>L. J.</given-names></name> <name><surname>Rahnavard</surname> <given-names>A.</given-names></name> <name><surname>Ma</surname> <given-names>S.</given-names></name> <name><surname>Zhang</surname> <given-names>Y.</given-names></name> <name><surname>Nguyen</surname> <given-names>L. H.</given-names></name><etal/></person-group> (<year>2020</year>). <source><italic>Multivariable Association in Population-Scale Meta-Omics Studies.</italic></source> Available online at: <ext-link ext-link-type="uri" xlink:href="http://huttenhower.sph.harvard.edu/maaslin">http://huttenhower.sph.harvard.edu/maaslin</ext-link> <comment>(accessed March 16, 2021)</comment>.</citation></ref>
<ref id="B34"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Mangifesta</surname> <given-names>M.</given-names></name> <name><surname>Mancabelli</surname> <given-names>L.</given-names></name> <name><surname>Milani</surname> <given-names>C.</given-names></name> <name><surname>Gaiani</surname> <given-names>F.</given-names></name> <name><surname>de&#x2019;Angelis</surname> <given-names>N.</given-names></name> <name><surname>de&#x2019;Angelis</surname> <given-names>G. L.</given-names></name><etal/></person-group> (<year>2018</year>). <article-title>Mucosal microbiota of intestinal polyps reveals putative biomarkers of colorectal cancer.</article-title> <source><italic>Sci. Rep.</italic></source> <volume>8</volume>:<issue>13974</issue>. <pub-id pub-id-type="doi">10.1038/s41598-018-32413-2</pub-id> <pub-id pub-id-type="pmid">30228361</pub-id></citation></ref>
<ref id="B35"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Manh&#x00E3;es</surname> <given-names>B. M. R.</given-names></name> <name><surname>Santos-Neto</surname> <given-names>E. B.</given-names></name> <name><surname>Tovar</surname> <given-names>L. R.</given-names></name> <name><surname>Guari</surname> <given-names>E. B.</given-names></name> <name><surname>Flach</surname> <given-names>L.</given-names></name> <name><surname>Kasper</surname> <given-names>D.</given-names></name><etal/></person-group> (<year>2021</year>). <article-title>Changes in mercury distribution and its body burden in delphinids affected by a morbillivirus infection: evidences of methylmercury intoxication in Guiana dolphin.</article-title> <source><italic>Chemosphere</italic></source> <volume>263</volume> <fpage>1</fpage>&#x2013;<lpage>11</lpage>. <pub-id pub-id-type="doi">10.1016/j.chemosphere.2020.128286</pub-id> <pub-id pub-id-type="pmid">33297230</pub-id></citation></ref>
<ref id="B36"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Maniscalco</surname> <given-names>J. M.</given-names></name> <name><surname>Springer</surname> <given-names>A. M.</given-names></name> <name><surname>Counihan</surname> <given-names>K. L.</given-names></name> <name><surname>Hollmen</surname> <given-names>T.</given-names></name> <name><surname>Aderman</surname> <given-names>H. M.</given-names></name> <name><surname>Toyukak</surname> <given-names>M.</given-names> <suffix>Sr.</suffix></name></person-group> (<year>2020</year>). <article-title>Contemporary diets of walruses in Bristol Bay, Alaska suggest temporal variability in benthic community structure.</article-title> <source><italic>PeerJ</italic></source> <volume>8</volume>:<issue>e8735</issue>. <pub-id pub-id-type="doi">10.7717/peerj.8735</pub-id> <pub-id pub-id-type="pmid">32219025</pub-id></citation></ref>
<ref id="B37"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Marvin-DiPasquale</surname> <given-names>M. C.</given-names></name> <name><surname>Oremland</surname> <given-names>R. S.</given-names></name></person-group> (<year>1998</year>). <article-title>Bacterial methylmercury degradation in Florida Everglades peat sediment.</article-title> <source><italic>Environ. Sci. Technol.</italic></source> <volume>32</volume> <fpage>2556</fpage>&#x2013;<lpage>2563</lpage>. <pub-id pub-id-type="doi">10.1021/es971099l</pub-id></citation></ref>
<ref id="B38"><citation citation-type="journal"><collab>National Research Council</collab> (<year>2000</year>). <source><italic>Toxicological Effects of Methylmercury.</italic></source> <publisher-loc>Washington, DC</publisher-loc>: <publisher-name>National Academies Press</publisher-name>.</citation></ref>
<ref id="B39"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Nelson</surname> <given-names>T. M.</given-names></name> <name><surname>Rogers</surname> <given-names>T. L.</given-names></name> <name><surname>Carlini</surname> <given-names>A. R.</given-names></name> <name><surname>Brown</surname> <given-names>M. V.</given-names></name></person-group> (<year>2013</year>). <article-title>Diet and phylogeny shape the gut microbiota of Antarctic seals: a comparison of wild and captive animals.</article-title> <source><italic>Environ. Microbiol.</italic></source> <volume>15</volume> <fpage>1132</fpage>&#x2013;<lpage>1145</lpage>. <pub-id pub-id-type="doi">10.1111/1462-2920.12022</pub-id> <pub-id pub-id-type="pmid">23145888</pub-id></citation></ref>
<ref id="B40"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Parada</surname> <given-names>A. E.</given-names></name> <name><surname>Needham</surname> <given-names>D. M.</given-names></name> <name><surname>Fuhrman</surname> <given-names>J. A.</given-names></name></person-group> (<year>2016</year>). <article-title>Every base matters: assessing small subunit rRNA primers for marine microbiomes with mock communities, time series and global field samples.</article-title> <source><italic>Environ. Microbiol.</italic></source> <volume>18</volume> <fpage>1403</fpage>&#x2013;<lpage>1414</lpage>. <pub-id pub-id-type="doi">10.1111/1462-2920.13023</pub-id> <pub-id pub-id-type="pmid">26271760</pub-id></citation></ref>
<ref id="B41"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Parks</surname> <given-names>J. M.</given-names></name> <name><surname>Johs</surname> <given-names>A.</given-names></name> <name><surname>Podar</surname> <given-names>M.</given-names></name> <name><surname>Bridou</surname> <given-names>R.</given-names></name> <name><surname>Hurt</surname> <given-names>R. A.</given-names></name> <name><surname>Smith</surname> <given-names>S. D.</given-names></name><etal/></person-group> (<year>2013</year>). <article-title>The genetic basis for bacterial mercury methylation.</article-title> <source><italic>Science</italic></source> <volume>339</volume> <fpage>1332</fpage>&#x2013;<lpage>1335</lpage>. <pub-id pub-id-type="doi">10.1126/science.1230667</pub-id> <pub-id pub-id-type="pmid">23393089</pub-id></citation></ref>
<ref id="B42"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Pausan</surname> <given-names>M. R.</given-names></name> <name><surname>Csorba</surname> <given-names>C.</given-names></name> <name><surname>Singer</surname> <given-names>G.</given-names></name> <name><surname>Till</surname> <given-names>H.</given-names></name> <name><surname>Sch&#x00F6;pf</surname> <given-names>V.</given-names></name> <name><surname>Santigli</surname> <given-names>E.</given-names></name><etal/></person-group> (<year>2019</year>). <article-title>Exploring the archaeome: detection of archaeal signatures in the human body.</article-title> <source><italic>Front. Microbiol.</italic></source> <volume>10</volume>:<issue>2796</issue>. <pub-id pub-id-type="doi">10.3389/fmicb.2019.02796</pub-id> <pub-id pub-id-type="pmid">31866971</pub-id></citation></ref>
<ref id="B43"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Podar</surname> <given-names>M.</given-names></name> <name><surname>Gilmour</surname> <given-names>C. C.</given-names></name> <name><surname>Brandt</surname> <given-names>C. C.</given-names></name> <name><surname>Soren</surname> <given-names>A.</given-names></name> <name><surname>Brown</surname> <given-names>S. D.</given-names></name> <name><surname>Crable</surname> <given-names>B. R.</given-names></name><etal/></person-group> (<year>2015</year>). <article-title>Global prevalence and distribution of genes and microorganisms involved in mercury methylation.</article-title> <source><italic>Sci. Adv.</italic></source> <volume>9</volume>:<issue>e1500675</issue>. <pub-id pub-id-type="doi">10.1126/sciadv.1500675</pub-id> <pub-id pub-id-type="pmid">26601305</pub-id></citation></ref>
<ref id="B44"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Quakenbush</surname> <given-names>L.</given-names></name> <name><surname>Bryan</surname> <given-names>A.</given-names></name> <name><surname>Nelson</surname> <given-names>M.</given-names></name> <name><surname>Snyder</surname> <given-names>J.</given-names></name></person-group> (<year>2016</year>). <source><italic>Pacific Walrus (Odobenus rosmarus divergens) Saint Lawrence Island Harvest Sample Analyses, 2012-2014 and 2016; Technical Report to the Alaska Department of Fish and Game, State Wildlife Grant and U.S. Fish and Wildlife Service</italic>.</source> Available online at: <ext-link ext-link-type="uri" xlink:href="http://www.adfg.alaska.gov/index.cfm?adfg=marinemammalprogram.reports">http://www.adfg.alaska.gov/index.cfm?adfg=marinemammalprogram.reports</ext-link> <comment>(accessed March 16, 2021)</comment>.</citation></ref>
<ref id="B45"><citation citation-type="journal"><collab>R Core Team</collab> (<year>2020</year>). <source><italic>R: A Language and Environment for Statistical Computing.</italic></source> <publisher-loc>Vienna</publisher-loc>: <publisher-name>R Foundation for Statistical Computing</publisher-name>.</citation></ref>
<ref id="B46"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Rand</surname> <given-names>M. D.</given-names></name> <name><surname>Vorojeikina</surname> <given-names>D.</given-names></name> <name><surname>van Wijngaarden</surname> <given-names>E.</given-names></name> <name><surname>Jackson</surname> <given-names>B. P.</given-names></name> <name><surname>Scrimale</surname> <given-names>T.</given-names></name> <name><surname>Zareba</surname> <given-names>G.</given-names></name><etal/></person-group> (<year>2016</year>). <article-title>Methods for individualized determination of methylmercury elimination rate and de-methylation status in humans following fish consumption.</article-title> <source><italic>Toxicol. Sci.</italic></source> <volume>149</volume> <fpage>385</fpage>&#x2013;<lpage>395</lpage>. <pub-id pub-id-type="doi">10.1093/toxsci/kfv241</pub-id> <pub-id pub-id-type="pmid">26572661</pub-id></citation></ref>
<ref id="B47"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Rand</surname> <given-names>M. D.</given-names></name> <name><surname>Caito</surname> <given-names>S. W.</given-names></name></person-group> (<year>2019</year>). <article-title>Variation in the biological half-life of methylmercury in humans: methods, measurements and meaning.</article-title> <source><italic>Biochim. Biophys. Acta Gen. Subj.</italic></source> <volume>1863</volume>:<issue>129301</issue>. <pub-id pub-id-type="doi">10.1016/j.bbagen.2019.02.003</pub-id> <pub-id pub-id-type="pmid">30742954</pub-id></citation></ref>
<ref id="B48"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Rea</surname> <given-names>L. D.</given-names></name> <name><surname>Castellini</surname> <given-names>J. M.</given-names></name> <name><surname>Avery</surname> <given-names>J. P.</given-names></name> <name><surname>Fadely</surname> <given-names>B. S.</given-names></name> <name><surname>Burkanov</surname> <given-names>V. N.</given-names></name> <name><surname>Rehberg</surname> <given-names>M. J.</given-names></name><etal/></person-group> (<year>2020</year>). <article-title>Regional variations and drivers of mercury and selenium concentrations in Steller sea lions.</article-title> <source><italic>Sci. Total Environ.</italic></source> <volume>744</volume>:<issue>140787</issue>. <pub-id pub-id-type="doi">10.1016/j.scitotenv.2020.140787</pub-id> <pub-id pub-id-type="pmid">32717470</pub-id></citation></ref>
<ref id="B49"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Rothenberg</surname> <given-names>S. E.</given-names></name> <name><surname>Keiser</surname> <given-names>S.</given-names></name> <name><surname>Ajami</surname> <given-names>N. J.</given-names></name> <name><surname>Wong</surname> <given-names>M. C.</given-names></name> <name><surname>Gesell</surname> <given-names>J.</given-names></name> <name><surname>Petrosino</surname> <given-names>J. F.</given-names></name><etal/></person-group> (<year>2016</year>). <article-title>The role of gut microbiota in fetal methylmercury exposure: insights from a pilot study.</article-title> <source><italic>Toxicol. Lett.</italic></source> <volume>242</volume> <fpage>60</fpage>&#x2013;<lpage>67</lpage>. <pub-id pub-id-type="doi">10.1016/j.toxlet.2015.11.022</pub-id> <pub-id pub-id-type="pmid">26626101</pub-id></citation></ref>
<ref id="B50"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Rothenberg</surname> <given-names>S. E.</given-names></name> <name><surname>Wagner</surname> <given-names>C. L.</given-names></name> <name><surname>Hamidi</surname> <given-names>B.</given-names></name> <name><surname>Alekseyenko</surname> <given-names>A. V.</given-names></name> <name><surname>Azcarate-Peril</surname> <given-names>M. A.</given-names></name></person-group> (<year>2019</year>). <article-title>Longitudinal changes during pregnancy in gut microbiota and methylmercury biomarkers, and reversal of microbe-exposure correlations.</article-title> <source><italic>Environ. Res.</italic></source> <volume>172</volume> <fpage>700</fpage>&#x2013;<lpage>712</lpage>. <pub-id pub-id-type="doi">10.1016/j.envres.2019.01.014</pub-id> <pub-id pub-id-type="pmid">30903970</pub-id></citation></ref>
<ref id="B51"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Rowland</surname> <given-names>I. R.</given-names></name> <name><surname>Grasso</surname> <given-names>P.</given-names></name> <name><surname>Davies</surname> <given-names>M. J.</given-names></name></person-group> (<year>1975</year>). <article-title>The methylation of mercuric chloride by human intestinal bacteria.</article-title> <source><italic>Experientia</italic></source> <volume>31</volume> <fpage>1064</fpage>&#x2013;<lpage>1065</lpage>. <pub-id pub-id-type="doi">10.1007/bf02326961</pub-id> <pub-id pub-id-type="pmid">1100426</pub-id></citation></ref>
<ref id="B52"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Rowland</surname> <given-names>I. R.</given-names></name> <name><surname>Robinson</surname> <given-names>R. D.</given-names></name> <name><surname>Doherty</surname> <given-names>R. A.</given-names></name></person-group> (<year>1984</year>). <article-title>Effects of diet on mercury metabolism and excretion in mice given methylmercury: role of gut flora.</article-title> <source><italic>Arch. Environ. Health</italic></source> <volume>39</volume> <fpage>401</fpage>&#x2013;<lpage>408</lpage>. <pub-id pub-id-type="doi">10.1080/00039896.1984.10545872</pub-id> <pub-id pub-id-type="pmid">6524959</pub-id></citation></ref>
<ref id="B53"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Schaefer</surname> <given-names>J. K.</given-names></name> <name><surname>Yagi</surname> <given-names>J.</given-names></name> <name><surname>Reinfelder</surname> <given-names>J. R.</given-names></name> <name><surname>Cardona</surname> <given-names>T.</given-names></name> <name><surname>Ellickson</surname> <given-names>K. M.</given-names></name> <name><surname>Tel-Or</surname> <given-names>S.</given-names></name><etal/></person-group> (<year>2004</year>). <article-title>Role of the bacterial organomercury lyase (MerB) in controlling methylmercury accumulation in mercury-contaminated natural waters.</article-title> <source><italic>Environ. Sci. Technol.</italic></source> <volume>38</volume> <fpage>4304</fpage>&#x2013;<lpage>4311</lpage>. <pub-id pub-id-type="doi">10.1021/es049895w</pub-id> <pub-id pub-id-type="pmid">15382857</pub-id></citation></ref>
<ref id="B54"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Seko</surname> <given-names>Y.</given-names></name> <name><surname>Miura</surname> <given-names>T.</given-names></name> <name><surname>Takahashi</surname> <given-names>M.</given-names></name> <name><surname>Koyama</surname> <given-names>T.</given-names></name></person-group> (<year>1981</year>). <article-title>Methyl mercury decomposition in mice treated with antibiotics.</article-title> <source><italic>Acta Pharmacol. Toxicol.</italic></source> <volume>49</volume> <fpage>259</fpage>&#x2013;<lpage>265</lpage>. <pub-id pub-id-type="doi">10.1111/j.1600-0773.1981.tb00903.x</pub-id> <pub-id pub-id-type="pmid">7342686</pub-id></citation></ref>
<ref id="B55"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sellers</surname> <given-names>P.</given-names></name> <name><surname>Kelly</surname> <given-names>C. A.</given-names></name> <name><surname>Rudd</surname> <given-names>J. W. M.</given-names></name> <name><surname>MacHutchon</surname> <given-names>A. R.</given-names></name></person-group> (<year>1996</year>). <article-title>Photodegradation of methylmercury in lakes.</article-title> <source><italic>Nature</italic></source> <volume>380</volume> <fpage>694</fpage>&#x2013;<lpage>697</lpage>. <pub-id pub-id-type="doi">10.1038/380694a0</pub-id></citation></ref>
<ref id="B56"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Seymour</surname> <given-names>J.</given-names></name> <name><surname>Hortmann-Dehn</surname> <given-names>L.</given-names></name> <name><surname>Wooller</surname> <given-names>M. J.</given-names></name></person-group> (<year>2014</year>). <article-title>Inter-annual variability in the proportional contribution of higher trophic levels to the diet of Pacific walruses.</article-title> <source><italic>Polar Biol.</italic></source> <volume>37</volume> <fpage>597</fpage>&#x2013;<lpage>609</lpage>. <pub-id pub-id-type="doi">10.1007/s00300-014-1460-7</pub-id></citation></ref>
<ref id="B57"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sheffield</surname> <given-names>G.</given-names></name> <name><surname>Grebmeier</surname> <given-names>J. M.</given-names></name></person-group> (<year>2009</year>). <article-title>Pacific walrus (<italic>Odobenus rosmarus divergens</italic>): differential prey digestion and diet.</article-title> <source><italic>Mar. Mamm. Sci.</italic></source> <volume>25</volume> <fpage>761</fpage>&#x2013;<lpage>777</lpage>. <pub-id pub-id-type="doi">10.1111/j.1748-7692.2009.00316.x</pub-id></citation></ref>
<ref id="B58"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sokal</surname> <given-names>R. R.</given-names></name> <name><surname>Rohlf</surname> <given-names>F. J.</given-names></name></person-group> (<year>2012</year>). <source><italic>Biometry: The Principles and Practices of Statistics in Biological Research</italic></source>, <edition>4th Edn</edition>. <publisher-loc>New York, NY</publisher-loc>: <publisher-name>W.H. Freeman and Company</publisher-name>.</citation></ref>
<ref id="B59"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sonsthagen</surname> <given-names>S. A.</given-names></name> <name><surname>Jay</surname> <given-names>C. V.</given-names></name> <name><surname>Cornman</surname> <given-names>R. S.</given-names></name> <name><surname>Fischbach</surname> <given-names>A. S.</given-names></name> <name><surname>Grebmeier</surname> <given-names>J. M.</given-names></name> <name><surname>Talbot</surname> <given-names>S. L.</given-names></name></person-group> (<year>2020</year>). <article-title>DNA metabarcoding of feces to infer summer diet of Pacific walruses.</article-title> <source><italic>Mar. Mamm. Sci.</italic></source> <volume>36</volume> <fpage>1196</fpage>&#x2013;<lpage>1211</lpage>. <pub-id pub-id-type="doi">10.1111/mms.12717</pub-id></citation></ref>
<ref id="B60"><citation citation-type="journal"><collab>U.S. Environmental Protection Agency</collab> (<year>2001</year>). <source><italic>Method 1630, Methyl Mercury in Water by Distillation, Aqueous Ethylation, Purge and Trap, and CVAFS. EPA 821-R-01-020.</italic></source> <publisher-loc>Washington, DC</publisher-loc>: <publisher-name>U.S. Environmental Protection Agency</publisher-name>.</citation></ref>
<ref id="B61"><citation citation-type="journal"><collab>U.S. Environmental Protection Agency</collab> (<year>2007</year>). <source><italic>Method 7473, Mercury in Solids and Solutions by Thermal Decomposition Amalgamation, and Atomic Absorption Spectrophotometry.</italic></source> <publisher-loc>Washington, DC</publisher-loc>: <publisher-name>U.S. Environmental Protection Agency</publisher-name>.</citation></ref>
<ref id="B62"><citation citation-type="journal"><collab>U.S. Food and Drug Administration</collab> (<year>2014</year>). <source><italic>Mercury Levels in Commercial Fish and Shellfish (1990-2012).</italic></source> Available online at: <ext-link ext-link-type="uri" xlink:href="https://www.fda.gov/food/metals-and-your-food/mercury-levels-commercial-fish-and-shellfish-1990-2012">https://www.fda.gov/food/metals-and-your-food/mercury-levels-commercial-fish-and-shellfish-1990-2012</ext-link> <comment>(accessed March 16, 2021)</comment>.</citation></ref>
<ref id="B63"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>V&#x00E1;zquez</surname> <given-names>M.</given-names></name> <name><surname>Calatayud</surname> <given-names>M.</given-names></name> <name><surname>Velez</surname> <given-names>D.</given-names></name> <name><surname>Devesa</surname> <given-names>V.</given-names></name></person-group> (<year>2013</year>). <article-title>Intestinal transport of methylmercury and inorganic mercury in various models of Caco-2 and HT29- MTX cells.</article-title> <source><italic>Toxicology</italic></source> <volume>311</volume> <fpage>147</fpage>&#x2013;<lpage>153</lpage>. <pub-id pub-id-type="doi">10.1016/j.tox.2013.06.002</pub-id> <pub-id pub-id-type="pmid">23793072</pub-id></citation></ref>
<ref id="B64"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname> <given-names>Q.</given-names></name> <name><surname>Ye</surname> <given-names>J.</given-names></name> <name><surname>Fang</surname> <given-names>D.</given-names></name> <name><surname>Lv</surname> <given-names>L.</given-names></name> <name><surname>Wu</surname> <given-names>W.</given-names></name> <name><surname>Shi</surname> <given-names>D.</given-names></name><etal/></person-group> (<year>2020</year>). <article-title>Multi-omic profiling reveals associations between the gut mucosal microbiome, the metabolome, and host DNA methylation associated gene expression in patients with colorectal cancer.</article-title> <source><italic>BMC Microbiol.</italic></source> <volume>20</volume>:<issue>83</issue>. <pub-id pub-id-type="doi">10.1186/s12866-020-01762-2</pub-id> <pub-id pub-id-type="pmid">32321427</pub-id></citation></ref>
<ref id="B65"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname> <given-names>X.</given-names></name> <name><surname>Wu</surname> <given-names>F.</given-names></name> <name><surname>Wang</surname> <given-names>W.-X.</given-names></name></person-group> (<year>2017</year>). <article-title>In vivo mercury demethylation in a marine fish (<italic>Acanthopagrus schlegeli</italic>).</article-title> <source><italic>Environ. Sci. Technol.</italic></source> <volume>51</volume> <fpage>6441</fpage>&#x2013;<lpage>6451</lpage>. <pub-id pub-id-type="doi">10.1021/acs.est.7b00923</pub-id> <pub-id pub-id-type="pmid">28514845</pub-id></citation></ref>
<ref id="B66"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Whitman</surname> <given-names>W. B.</given-names></name> <name><surname>Oren</surname> <given-names>A.</given-names></name> <name><surname>Chuvochina</surname> <given-names>M.</given-names></name> <name><surname>da Costa</surname> <given-names>M. S.</given-names></name> <name><surname>Garrity</surname> <given-names>G. M.</given-names></name> <name><surname>Rainey</surname> <given-names>F. A.</given-names></name><etal/></person-group> (<year>2018</year>). <article-title>Proposal of the suffix -ota to denote phyla.</article-title> <source><italic>Int. J. Syst. Evol. Microbiol.</italic></source> <volume>68</volume> <fpage>967</fpage>&#x2013;<lpage>969</lpage>. <pub-id pub-id-type="doi">10.1099/ijsem.0.002593</pub-id> <pub-id pub-id-type="pmid">29458499</pub-id></citation></ref>
<ref id="B67"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wiersema</surname> <given-names>M. L.</given-names></name> <name><surname>Koester</surname> <given-names>L. R.</given-names></name> <name><surname>Schmiz-Esser</surname> <given-names>S.</given-names></name> <name><surname>Koltes</surname> <given-names>D. A.</given-names></name></person-group> (<year>2021</year>). <article-title>Comparison of intestinal permeability, morphology, and ileal microbial communities of commercial hens housed in conventional cages and cage-free housing systems.</article-title> <source><italic>Poult. Sci. J.</italic></source> <volume>100</volume> <fpage>1178</fpage>&#x2013;<lpage>1191</lpage>. <pub-id pub-id-type="doi">10.1016/j.psj.2020.10.052</pub-id> <pub-id pub-id-type="pmid">33518076</pub-id></citation></ref>
<ref id="B68"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zhang</surname> <given-names>B.-B.</given-names></name> <name><surname>Liu</surname> <given-names>Y.-M.</given-names></name> <name><surname>Hu</surname> <given-names>A.-L.</given-names></name> <name><surname>Xu</surname> <given-names>S.-F.</given-names></name> <name><surname>Fan</surname> <given-names>L.-D.</given-names></name> <name><surname>Cheng</surname> <given-names>M.-L.</given-names></name><etal/></person-group> (<year>2019</year>). <article-title>HgS and Zuotai differ from HgCl<sub>2</sub> and methyl mercury in intestinal Hg absorption, transporter expression and gut microbiome in mice.</article-title> <source><italic>Toxicol. Appl. Pharmacol.</italic></source> <volume>379</volume>:<issue>114615</issue>. <pub-id pub-id-type="doi">10.1016/j.taap.2019.114615</pub-id> <pub-id pub-id-type="pmid">31175882</pub-id></citation></ref>
</ref-list><fn-group>
<fn id="footnote1">
<label>1</label>
<p><ext-link ext-link-type="uri" xlink:href="https://www.protocols.io/view/earth-microbiome-project-emp-high-throughput-htp-d-pdmdi46">https://www.protocols.io/view/earth-microbiome-project-emp-high-throughput-htp-d-pdmdi46</ext-link>.</p></fn>
<fn id="footnote2">
<label>2</label>
<p><ext-link ext-link-type="uri" xlink:href="https://earthmicrobiome.org/protocols-and-standards/16s/">https://earthmicrobiome.org/protocols-and-standards/16s/</ext-link>.</p></fn>
</fn-group>
</back>
</article>