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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Mar. Sci.</journal-id>
<journal-title>Frontiers in Marine Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Mar. Sci.</abbrev-journal-title>
<issn pub-type="epub">2296-7745</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmars.2023.1247344</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Marine Science</subject>
<subj-group>
<subject>Brief Research Report</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Dysregulation of microRNAs may contribute to neurosensory impairment in Arctic cod (<italic>Boreogadus saida</italic>) following CO<sub>2</sub> exposure</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Schweitzer</surname>
<given-names>Cara C.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2357813"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Bonin</surname>
<given-names>Carolina A.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1555611"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Magel</surname>
<given-names>Christopher</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Hurst</surname>
<given-names>Thomas P.</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/907460"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Horodysky</surname>
<given-names>Andrij Z.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2402330"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Hampton University, Department of Marine and Environmental Science</institution>, <addr-line>Hampton, VA</addr-line>, <country>United States</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Habitat Conservation, Habitat Protection, National Oceanic and Atmospheric Administration (NOAA) National Marine Fisheries Service (NMFS)</institution>, <addr-line>Silver Spring, MD</addr-line>, <country>United States</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Fisheries Behavioral Ecology Program, Resource Assessment and Conservation Engineering Division, Alaska Fisheries Science Center, National Oceanic and Atmospheric Administration (NOAA), National Marine Fisheries Service (NMFS), Hatfield Marine Science Center</institution>, <addr-line>Newport, OR</addr-line>, <country>United States</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>James J. Howard Laboratory, Northeast Fisheries Science Center, National Oceanic and Atmospheric Administration (NOAA) National Marine Fisheries Service (NMFS)</institution>, <addr-line>Highlands, NJ</addr-line>, <country>United States</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Asaduzzaman Md, Chattogram Veterinary and Animal Sciences University, Bangladesh</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Cristian Gallardo-Esc&#xe1;rate, University of Concepcion, Chile; Valeria Di Dato, Anton Dohrn Zoological Station Naples, Italy</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Andrij Z. Horodysky, <email xlink:href="mailto:andrij.horodysky@noaa.gov">andrij.horodysky@noaa.gov</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>05</day>
<month>10</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>10</volume>
<elocation-id>1247344</elocation-id>
<history>
<date date-type="received">
<day>25</day>
<month>06</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>28</day>
<month>08</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Schweitzer, Bonin, Magel, Hurst and Horodysky</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Schweitzer, Bonin, Magel, Hurst and Horodysky</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>MicroRNAs (miRNAs) are epigenetic markers with a key role in post-transcriptional gene regulation. Several studies have described the dysregulation of miRNAs in temperature and hypoxic stress responses of marine organisms, but their role in the response to acidification conditions has remained relatively underexplored. We investigated the differential expression of miRNAs in whole brain tissue of Arctic cod (<italic>Boregogadus</italic> saida) exposed to elevated aqueous CO<sub>2</sub> levels representative of future climate change predictions. We detected the expression of 17 miRNAs of interest that are either directly or indirectly associated with reduced auditory performance; 12 of the 17 miRNAs showed significant differential expression in high treatment vs. low (control) aqueous CO<sub>2</sub> conditions. Target gene predictions indicated that these miRNAs are likely involved with inner ear maintenance, hair cell degradation, age-related hearing loss, neural inflammation, and injury. The highest differential expression was observed in mir-135b, which is linked with increased neural inflammation and injury that may be associated with neurosensory dysfunction. Collectively, these results elucidate the contributions of miRNA mechanisms underlying CO<sub>2</sub>-induced sensory deficits in fishes facing abiotic environmental change and suggest strong potential for this approach to yield novel insights into the mechanistic effects of climate change on marine organisms.</p>
</abstract>
<kwd-group>
<kwd>microRNA</kwd>
<kwd>ocean acidification</kwd>
<kwd>environmental stressors</kwd>
<kwd>climate change</kwd>
<kwd>hearing loss</kwd>
<kwd>fish</kwd>
<kwd>neurosensory</kwd>
</kwd-group>
<contract-sponsor id="cn001">National Science Foundation<named-content content-type="fundref-id">10.13039/100000001</named-content>
</contract-sponsor>
<contract-sponsor id="cn002">National Science Foundation<named-content content-type="fundref-id">10.13039/100000001</named-content>
</contract-sponsor>
<contract-sponsor id="cn003">National Science Foundation<named-content content-type="fundref-id">10.13039/100000001</named-content>
</contract-sponsor>
<counts>
<fig-count count="1"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="67"/>
<page-count count="9"/>
<word-count count="3857"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Marine Molecular Biology and Ecology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>The multifocal effects of climate change on marine organisms have received considerable concern and attention from the scientific community over the past few decades (<xref ref-type="bibr" rid="B9">Brierley and Kingsford, 2009</xref>; <xref ref-type="bibr" rid="B26">Heuer and Grosell, 2014</xref>; <xref ref-type="bibr" rid="B60">Sumby et&#xa0;al., 2021</xref>). Marine organisms are affected both by the increasing temperatures of the ocean and also by CO<sub>2</sub>-induced ocean acidification. The oceans have been acting as a CO<sub>2</sub> sink, absorbing nearly 30% of atmospheric CO<sub>2</sub> that has been rising for the past few centuries (<xref ref-type="bibr" rid="B15">Doney et&#xa0;al., 2009</xref>). Elevated aqueous CO<sub>2</sub> thus results in a set of chemical reactions in the seawater that reduce pH, carbonate ion (CO<sub>3</sub>
<sup>2-</sup>) concentrations, and saturation states of calcium carbonate minerals (CaCO<sub>3</sub>). Since the Industrial Revolution, ocean pH has declined by approximately 0.1, and is projected to decline an additional 0.1 &#x2013; 0.4 units by the end of the century (<xref ref-type="bibr" rid="B21">Garcia-Soto et&#xa0;al., 2021</xref>).</p>
<p>Fishes exposed to elevated environmental CO<sub>2</sub> can experience acute hypercapnia and acidosis followed by an influx in plasma HCO<sub>3</sub>
<sup>-</sup> to either compensate for or neutralize the acidosis (<xref ref-type="bibr" rid="B26">Heuer and Grosell, 2014</xref>). The consequences of fish being in a chronic state of balancing has yet to be elucidated. However, studies collectively show that CO<sub>2</sub> exposure affects sensory performance in fishes, e.g. altering taste preferences (<xref ref-type="bibr" rid="B53">Rong et&#xa0;al., 2020</xref>), impairing olfaction (<xref ref-type="bibr" rid="B63">Williams et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B47">Porteus et&#xa0;al., 2021</xref>), slowing retinal function (<xref ref-type="bibr" rid="B13">Chung et&#xa0;al., 2014</xref>), and reducing auditory sensitivity (<xref ref-type="bibr" rid="B49">Radford et&#xa0;al., 2021</xref>).</p>
<p>Previous studies suggest that neurosensory cues strongly influence fish behavior, interspecific interactions, and even habitat selection (<xref ref-type="bibr" rid="B44">Nagelkerken et&#xa0;al., 2019</xref>). This is especially true of olfactory and auditory cues that are used by larval fishes for orientation as well as locating and settling on quality nondegraded habitat (<xref ref-type="bibr" rid="B33">Kaplan and Mooney, 2016</xref>; <xref ref-type="bibr" rid="B23">Gordon et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B5">Bilodeau and Hay, 2022</xref>; <xref ref-type="bibr" rid="B30">Hu et&#xa0;al., 2022</xref>). Furthermore, sound can play a critical role in predator-prey interactions, territorial defense, and reproductive behavior (<xref ref-type="bibr" rid="B41">Looby et&#xa0;al., 2022</xref>). Auditory impairment could be especially detrimental for soniferous fishes, such as croakers and drums (Sciaenidae) or Arctic cod (Gadidae; <italic>Boreogadus saida</italic>) that vocalize to locate and aggregate with conspecifics as an intrinsic part of their reproductive behavior (<xref ref-type="bibr" rid="B50">Ramcharitar et&#xa0;al., 2006</xref>; <xref ref-type="bibr" rid="B28">Horodysky et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B40">Lindseth and Lobel, 2018</xref>; <xref ref-type="bibr" rid="B52">Riera et&#xa0;al., 2018</xref>). Therefore, the disruption of sensory functions by abiotic environmental and/or anthropogenic change could alter life histories both in single species contexts and across species interactions, resulting in potentially large-scale ecological and ecosystem consequences (<xref ref-type="bibr" rid="B29">Horodysky et&#xa0;al., 2022</xref>).</p>
<p>The specific mechanisms through which CO<sub>2</sub>-induced ocean acidification hinders auditory performance remain inferred but as yet undemonstrated. Currently, a leading mechanistic hypothesis for observed CO<sub>2</sub>-induced auditory deficits centers on the hypertrophy and/or asymmetric growth of otolithic auditory end organs (<xref ref-type="bibr" rid="B4">Bignami et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B27">Holmberg et&#xa0;al., 2019</xref>) in fish reared under high levels of CO<sub>2</sub> exposure that are consistent with projected future levels of ocean acidification (<xref ref-type="bibr" rid="B49">Radford et&#xa0;al., 2021</xref>). However, significant reduction in auditory performance has also been observed in fish exposed to elevated CO<sub>2</sub> conditions in the absence of changes in otolith morphology (Horodysky, <italic>in preparation</italic>). This suggests strongly that morphology alone may not be the sole or proximate mechanism hindering auditory performance, and that underlying neurological mechanisms are likely (sensu <xref ref-type="bibr" rid="B45">Nilsson et&#xa0;al., 2012</xref>). One feasible way to elucidate the molecular underpinnings of this process is to investigate environmentally-induced epigenetic disruption of gene expression associated with neurosensory performance (<xref ref-type="bibr" rid="B22">Gemenetzi and Lotery, 2014</xref>; <xref ref-type="bibr" rid="B67">Zhao et&#xa0;al., 2019</xref>).</p>
<p>MicroRNAs (miRNA) are epigenetic regulators (<xref ref-type="bibr" rid="B64">Yao et&#xa0;al., 2019</xref>), which alter gene expression by promoting messenger RNA (mRNA) degradation or translational inhibition. They consist of short non-coding RNA sequences and their expression levels may be influenced by environmental surroundings, especially environmental stressors (<xref ref-type="bibr" rid="B7">Bonin et&#xa0;al., 2019</xref>). The interaction of environment &#x2013; miRNA &#x2013; gene expression makes miRNAs integral components of an organism&#x2019;s ability to adapt to environmental changes. While the effects of some abiotic environmental stressors (e.g. temperature and salinity) on miRNA expression in fishes have been documented (<xref ref-type="bibr" rid="B6">Bizuayehu et&#xa0;al., 2015</xref>), the effect of CO<sub>2</sub> &#x2013;induced ocean acidification on miRNA expression remains relatively unexplored.</p>
<p>The purpose of this preliminary study was to determine if exposure to elevated aqueous CO<sub>2</sub> affects miRNA expression in whole brain tissue of Arctic cod (<italic>Boreogadus saida</italic>) juveniles. This study focused on miRNAs with potential mRNA targets associated with the auditory system either directly or indirectly.</p>
</sec>
<sec id="s2">
<title>Methods</title>
<sec id="s2_1">
<title>Fish husbandry</title>
<p>Wild arctic cod broodstock were collected from the Beaufort Sea and transferred to the NOAA Alaska Fisheries Science Center, Hatfield Marine Science Center, Newport, Oregon, USA. Broodstock were spawned in captivity and fry were raised on a diet of rotifers, enriched artemia, Otohime dry food, and chopped capelin and gel feed to the early juvenile stage in a 3025 L tank of filtered, temperature-controlled (5&#xb0;C &#xb1; 1) seawater.</p>
</sec>
<sec id="s2_2">
<title>Treatment exposure</title>
<p>Juvenile Arctic cod were then transferred to 110 L circular experimental tanks at a stocking density of 4 individuals/tank and exposed to either acidified or control (i.e. ambient conditions) for four months to determine the effects of CO<sub>2</sub> exposure on auditory electrophysiological performance (Horodysky, <italic>in preparation</italic>). Honeywell Durafet III probes continuously monitored pH in one conditioning tank for each treatment with automated injection of CO<sub>2</sub> into the seawater to maintain treatment pH of 7.26 &#xb1; 0.04 (low pH treatment) and 7.85 &#xb1; 0.06 (control pH treatment that emulated the ambient pH at which fish were reared). Both treatments were maintained at 5.5&#xb0;C &#xb1; 0.78. All husbandry and experiments were approved by the Hampton University Institutional Animal Care and Use Committee (protocol# 2019-0201-001C2) and followed all relevant laws of the United States. Weekly water samples were drawn and fixed with mercuric chloride, then later analyzed for dissolved inorganic carbon (DIC) and total alkalinity (TA) at the Ocean Acidification Research Center at University of Alaska at Fairbanks (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). For further details regarding the experimental system and water sampling protocols see <xref ref-type="bibr" rid="B2">Andrade et&#xa0;al., 2018</xref> and <xref ref-type="bibr" rid="B32">Hurst et&#xa0;al., 2019</xref>.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Carbonate system parameters measured weekly during experimental exposures of Arctic cod (<italic>Boreogadus saida</italic>) to projected levels of ocean acidification.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="left">Temperature (&#xb0;C)</th>
<th valign="top" align="left">pH</th>
<th valign="top" align="left">pCO<sub>2</sub> (&#x3bc;atm)</th>
<th valign="top" align="left">TA (&#x3bc;mol kg<sup>-1</sup>)</th>
<th valign="top" align="left">DIC (&#x3bc;mol kg<sup>-1</sup>)</th>
<th valign="top" align="left">&#x3a9;<sub>Aragonite</sub>
</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Control</td>
<td valign="top" align="left">5.50 &#xb1; 0.42</td>
<td valign="top" align="left">7.85 &#xb1; 0.06</td>
<td valign="top" align="left">616.25 &#xb1; 106.61</td>
<td valign="top" align="left">2164.45 &#xb1; 75.21</td>
<td valign="top" align="left">2092.64 &#xb1; 81.04</td>
<td valign="top" align="left">1.03 &#xb1; 0.09</td>
</tr>
<tr>
<td valign="top" align="left">Treatment</td>
<td valign="top" align="left">5.51 &#xb1; 0.36</td>
<td valign="top" align="left">7.26 &#xb1; 0.04</td>
<td valign="top" align="left">2565.33 &#xb1; 288.99</td>
<td valign="top" align="left">2196.66 &#xb1; 53.05</td>
<td valign="top" align="left">2303.10 &#xb1; 58.52</td>
<td valign="top" align="left">0.29 &#xb1; 0.03</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s2_3">
<title>Sample collection and analysis</title>
<p>Compared to the pH 7.9 ambient controls, fish held at pH 7.2 exhibited a significant reduction in auditory performance (Horodysky, <italic>in preparation</italic>). Following auditory testing, fish were euthanized with an overdose of benzocaine (&gt;300 mg/L), whole brain tissue was extracted, placed in RNAlater<sup>&#xae;</sup>, then held in -20&#xb0;C until processed. MiRNAs were extracted and purified from the brain tissue following the mirVana purification kit protocol (Invitrogen), including enrichment for small RNAs. A total of six samples, three from pH 7.2 and three from pH 7.9, were sent to Genewiz (South Plainfield, NJ) for small RNA sequencing. Illumina TrueSeq Small RNA library Prep Kits (Illumina, San Diego, CA) were used to prepare small RNA sequencing libraries according to the manufacturer&#x2019;s protocol. The sequencing library was validated on the Agilent TapeStation 4200 (Agilent Technologies) and quantified by using a Qubit 2.0 Fluorometer (Invitrogen, Carlsbad, CA). The libraries were multiplexed, clustered on a single lane of a flowcell and loaded on the Illumina HiSeq 4000. The samples were sequenced as 2x150bp Paired End (PE). Raw sequence data (.bcl files) generated from Illumina HiSeq were converted into fastq files and demultiplexed using Illumina&#x2019;s bcl2fastq 2.17 software. One mismatch was allowed for index sequence identification. The raw sequence reads had adapters removed and were trimmed using CLC Genomics Server 10 (Qiagen). Only reads with lengths 15 to 31 bp were retained. These reads were then compared and annotated using miRbase v. 22 (<xref ref-type="bibr" rid="B24">Griffiths-Jones, 2004</xref>). Due to the lack of an annotated genome for Arctic cod, miRNAs were identified in miRbase and literature via blast searches to known miRNAs from model species (e.g. Atlantic cod, <italic>Gadus morhua</italic> (gmo), Japanese rice fish, <italic>Oryzias latipes</italic> (ola), zebrafish <italic>Danio rerio</italic> (dre), and mouse <italic>Mus musculus</italic> (mmu). Mature sequence hit counts against each miRNA (expression values) were quantile normalized and Baggerly&#x2019;s exact tests were performed (accounts for the proportion of read counts across treatments; <xref ref-type="bibr" rid="B3">Baggerly et&#xa0;al., 2003</xref>) in CLC Genomics Server 10. Significant differential miRNA expression (DE) was considered at FDR- p &lt; 0.05.</p>
<p>Importantly, we conservatively opted to only analyze miRNAs that are highly conserved across several metazoan taxa, which have had an associated phenotype with hearing loss, neurosensory dysfunction, or neurological impairment according to miRBase v.22 and additional literature searches.</p>
<p>The conservation of the identified miRNA sequences against the associated phenotype model organisms was estimated by obtaining the E-value from Mirbase.org, percent query sequence coverage. The percent target coverage is the percent of the query sequence length included in the alignment. Sequence alignments were conducted in Jalview 2.11.2.4 (<xref ref-type="bibr" rid="B62">Waterhouse et&#xa0;al., 2009</xref>) and rfam (<ext-link ext-link-type="uri" xlink:href="http://rfam.xfam.org">http://rfam.xfam.org</ext-link>).</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<p>We obtained an average of ~ 45 million raw reads per sample (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S1</bold>
</xref>). From these, 35,668 mature miRNA sequences were obtained from Arctic cod brain tissues. The vast majority (34,818 sequences) were unannotated, and 870 sequences were identified from known sources in miRbase (annotated; <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Summary of mature miRNA reads of known and unknown sequences for each sample of whole brain tissue of Arctic cod (<italic>B. saida</italic>).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Sample ID</th>
<th valign="top" align="left">113</th>
<th valign="top" align="left">135</th>
<th valign="top" align="left">131</th>
<th valign="top" align="left">137</th>
<th valign="top" align="left">106</th>
<th valign="top" align="left">136</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="right">
<bold>Known</bold>
</td>
<td valign="top" align="left">586</td>
<td valign="top" align="left">615</td>
<td valign="top" align="left">590</td>
<td valign="top" align="left">536</td>
<td valign="top" align="left">868</td>
<td valign="top" align="left">582</td>
</tr>
<tr>
<td valign="top" align="right">
<bold>Unknown</bold>
</td>
<td valign="top" align="left">6576</td>
<td valign="top" align="left">6198</td>
<td valign="top" align="left">6572</td>
<td valign="top" align="left">11290</td>
<td valign="top" align="left">28318</td>
<td valign="top" align="left">9729</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>This is not surprising due to the lack of an annotated genome for the Arctic cod, which also does not have mature miRNA sequences in miRbase. However, the majority (76%) of the identified mature miRNA of interest showed substantial homogeneity (containing an E-value of &#x2264; 0.006) when aligned to the mature sequence of the reference organism. Considering all of the data, approximately 70% of annotated mature miRNAs identified overlapped between control and treatment samples (normalized expression values for each mature sequence are available in <xref ref-type="supplementary-material" rid="SM2">
<bold>Supplementary Table S2</bold>
</xref>).</p>
<p>Our dataset was further reduced by removing miRNAs that exhibited a normalized expression value level below 175 in either treatment. Among the total annotated mature miRNA sequences, 17 miRNAs of interest were identified by our phenotypic association analysis conducted in miRBase and additional literature. These miRNAs were either directly or indirectly associated with hearing loss in a model organism (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>). However, among the total miRNAs of interest, 12 miRNAs were significantly differentially expressed (DE) between the control and low pH treatments (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>).</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Overview of identified mature miRNA sequences of whole brain tissue of Arctic cod (<italic>B. saida</italic>) that are hypothesized to be associated with auditory deficit.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Identified miRNA</th>
<th valign="top" align="left">Mature Sequence</th>
<th valign="top" align="left">Fold Change</th>
<th valign="top" align="left">P Value</th>
<th valign="top" align="left">Reference Organism</th>
<th valign="top" align="left" colspan="2">E-value</th>
<th valign="top" align="left">Query <break/>Coverage %</th>
<th valign="top" align="left">Associated <break/>phenotype</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">
<bold>ola-mir-101a</bold>
</td>
<td valign="top" align="left">UCAGUUAUCACAGUGCUGAUGC</td>
<td valign="top" align="left">1.7</td>
<td valign="top" align="left">0.01</td>
<td valign="top" align="left">rat</td>
<td valign="top" colspan="2" align="left">0.006</td>
<td valign="top" align="left">100%</td>
<td valign="top" align="left">Dysregulated under chronic stress conditions (<xref ref-type="bibr" rid="B54">Schell et&#xa0;al., 2022</xref>), and linked to anxiety-like behavior (<xref ref-type="bibr" rid="B14">Cohen, 2017</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>ola-mir-128</bold>
</td>
<td valign="top" align="left">UCACAGUGAACCGGUCUCUU<bold>&#x2010;&#x2010;</bold>
</td>
<td valign="top" align="left">1.27</td>
<td valign="top" align="left">0.02</td>
<td valign="top" align="left">zebrafish</td>
<td valign="top" colspan="2" align="left">0.006</td>
<td valign="top" align="left">90.5%</td>
<td valign="top" align="left">Dysregulation associated with sudden sensorineural hearing loss (<xref ref-type="bibr" rid="B46">Nunez et&#xa0;al., 2020</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>ola-mir-135b</bold>
</td>
<td valign="top" align="left">UAUGGCUUUU<bold>U</bold>AUUCCUA<bold>C&#x2010;&#x2010;&#x2010;&#x2010;</bold>
</td>
<td valign="top" align="left">2.51</td>
<td valign="top" align="left">&lt; 0.01</td>
<td valign="top" align="left">mouse</td>
<td valign="top" colspan="2" align="left">0.20</td>
<td valign="top" align="left">73.9%</td>
<td valign="top" align="left">Upregulated during neuronal injury, inflammation, and oxidative stress (<xref ref-type="bibr" rid="B19">Duan et&#xa0;al., 2018</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>mze-mir-140-3p</bold>
</td>
<td valign="top" align="left">-ACCACAGGGUAGAACCACGG<bold>AC</bold>
</td>
<td valign="top" align="left">-1.38</td>
<td valign="top" align="left">0.02</td>
<td valign="top" align="left">human</td>
<td valign="top" colspan="2" align="left">0.006</td>
<td valign="top" align="left">95.2%</td>
<td valign="top" align="left">Downregulation associated with sudden sensorineural hearing loss (<xref ref-type="bibr" rid="B46">Nunez et&#xa0;al., 2020</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>dre-mir-144-3p</bold>
</td>
<td valign="top" align="left">UACAGUAUAGAUGAUGUACU</td>
<td valign="top" align="left">2.05</td>
<td valign="top" align="left">&lt; 0.01</td>
<td valign="top" align="left">zebrafish</td>
<td valign="top" colspan="2" align="left">0.006</td>
<td valign="top" align="left">100%</td>
<td valign="top" align="left">GABA receptor dysfunction (<xref ref-type="bibr" rid="B42">Ma et&#xa0;al., 2019</xref>); severely affected hair cell development and upregulation associated with neurotoxicity (<xref ref-type="bibr" rid="B16">Diao et&#xa0;al., 2022</xref>), and neuronal injury (<xref ref-type="bibr" rid="B39">Li et&#xa0;al., 2018</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>gmo-mir-181c-3p</bold>
</td>
<td valign="top" align="left">
<bold>-UUGC</bold>CG<bold>GA</bold>CG<bold>C</bold>UGA<bold>A</bold>UG<bold>-</bold>UCA</td>
<td valign="top" align="left">1.81</td>
<td valign="top" align="left">0.01</td>
<td valign="top" align="left">mouse</td>
<td valign="top" colspan="2" align="left">NA</td>
<td valign="top" align="left">NA</td>
<td valign="top" align="left">The mir-181 family down regulation is associated with aging and age related hearing loss (<xref ref-type="bibr" rid="B65">Zhang et&#xa0;al., 2013</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>mmu-miR-182</bold>
</td>
<td valign="top" align="left">UUUGGCAAUGGUAGAACUCACACCG</td>
<td valign="top" align="left">-1.91</td>
<td valign="top" align="left">0.02</td>
<td valign="top" align="left">rat</td>
<td valign="top" colspan="2" align="left">&lt; 0.001</td>
<td valign="top" align="left">100%</td>
<td valign="top" align="left">Protects against ototoxicity and hearing loss (<xref ref-type="bibr" rid="B11">Chen et&#xa0;al., 2020</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>ipu-mir-183</bold>
</td>
<td valign="top" align="left">
<bold>-</bold>AUGGCACUGGUAGAAUUCACUG</td>
<td valign="top" align="left">-1.18</td>
<td valign="top" align="left">0.73</td>
<td valign="top" align="left">zebrafish</td>
<td valign="top" colspan="2" align="left">&lt; 0.001</td>
<td valign="top" align="left">95.7%</td>
<td valign="top" align="left">Hair cell regeneration and part of the auditory associated miRNA family mir-96, 183, 182 (<xref ref-type="bibr" rid="B34">Kim et&#xa0;al., 2018</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>ola-mir-204</bold>
</td>
<td valign="top" align="left">UUCCCUUUGUCAUCCUAUGC<bold>&#x2010;&#x2010;</bold>
</td>
<td valign="top" align="left">1.18</td>
<td valign="top" align="left">0.076</td>
<td valign="top" align="left">mouse</td>
<td valign="top" colspan="2" align="left">0.006</td>
<td valign="top" align="left">86.36</td>
<td valign="top" align="left">Associated with sensorineural hearing loss (<xref ref-type="bibr" rid="B48">Prasad and Bondy, 2017</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>dre-mir-218b</bold>
</td>
<td valign="top" align="left">UUGUGCUUGAUCUAACCAUGCA</td>
<td valign="top" align="left">1.9</td>
<td valign="top" align="left">&lt; 0.01</td>
<td valign="top" align="left">rat</td>
<td valign="top" colspan="2" align="left">0.006</td>
<td valign="top" align="left">86.4%</td>
<td valign="top" align="left">Dysregulated under chronic stress conditions (<xref ref-type="bibr" rid="B54">Schell et&#xa0;al., 2022</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>ola-mir-210</bold>
</td>
<td valign="top" align="left">AGCC<bold>A</bold>CUG<bold>A</bold>C<bold>U</bold>A<bold>A</bold>CGCACA<bold>U</bold>UG</td>
<td valign="top" align="left">1.39</td>
<td valign="top" align="left">0.04</td>
<td valign="top" align="left">human</td>
<td valign="top" colspan="2" align="left">4.8</td>
<td valign="top" align="left">72.7%</td>
<td valign="top" align="left">Upregulation associated with sudden sensory neural hearing loss (<xref ref-type="bibr" rid="B25">Ha et&#xa0;al., 2020</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>fru-mir-24-1</bold>
</td>
<td valign="top" align="left">
<bold>-</bold>GUGCCUACUGA<bold>A</bold>CUG<bold>G</bold>UAUCAGU</td>
<td valign="top" align="left">1.68</td>
<td valign="top" align="left">0.03</td>
<td valign="top" align="left">human</td>
<td valign="top" colspan="2" align="left">0.025</td>
<td valign="top" align="left">95.5%</td>
<td valign="top" align="left">Upregulation associated with sudden sensory neural hearing loss (<xref ref-type="bibr" rid="B38">Li et&#xa0;al., 2017</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>mmu-miR-29a</bold>
</td>
<td valign="top" align="left">UAGCACCAUCUGAAAUCGGUUA</td>
<td valign="top" align="left">1.72</td>
<td valign="top" align="left">0.28</td>
<td valign="top" align="left">mouse</td>
<td valign="top" colspan="2" align="left">&lt; 0.001</td>
<td valign="top" align="left">100%</td>
<td valign="top" align="left">Upregulation associated with age-related hearing loss (<xref ref-type="bibr" rid="B65">Zhang et&#xa0;al., 2013</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>abu-mir-451</bold>
</td>    <td valign="top" align="left">AAACCGUUACCAUUACUGAG<bold>&#x2010;&#x2010;</bold>
</td>
<td valign="top" align="left">2.18</td>
<td valign="top" align="left">0.69</td>
<td valign="top" align="left">human</td>
<td valign="top" colspan="2" align="left">0.006</td>
<td valign="top" align="left">95.2%</td>
<td valign="top" align="left">Upregulated post noise induced hearing loss (<xref ref-type="bibr" rid="B17">Ding et&#xa0;al., 2016</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>gmo-mir-460</bold>
</td>
<td valign="top" align="left">CCUGCAUUGUACACACUGUGC<bold>A</bold>
</td>
<td valign="top" align="left">1.6</td>
<td valign="top" align="left">0.02</td>
<td valign="top" align="left">zebrafish</td>
<td valign="top" colspan="2" align="left">0.002</td>
<td valign="top" align="left">95.5%</td>
<td valign="top" align="left">Nervous tissue regeneration (<xref ref-type="bibr" rid="B51">Ribeiro et&#xa0;al., 2022</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>cca-mir-9-1</bold>
</td>
<td valign="top" align="left">
<bold>-</bold>UAAAGCUAGAUAACCGAAAGUA<bold>-</bold>
</td>
<td valign="top" align="left">1.79</td>
<td valign="top" align="left">&lt; 0.01</td>
<td valign="top" align="left">Human</td>
<td valign="top" colspan="2" align="left">0.002</td>
<td valign="top" align="left">91.3%</td>
<td valign="top" align="left">Hypothesized to be associated with damage to the central hearing pathways (<xref ref-type="bibr" rid="B18">Di Stadio et&#xa0;al., 2018</xref>), and upregulation is associated with neural inflammation (<xref ref-type="bibr" rid="B66">Zhao et&#xa0;al., 2015</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>cca-mir-96</bold>
</td>
<td valign="top" align="left">UUUGGCACUAGCACAUUUUUGCU</td>
<td valign="top" align="left">2.01</td>
<td valign="top" align="left">0.89</td>
<td valign="top" align="left">mouse</td>
<td valign="top" colspan="2" align="left">&lt; 0.001</td>
<td valign="top" align="left">100%</td>
<td valign="top" align="left">Master regulator for hair cell differentiation (<xref ref-type="bibr" rid="B36">Lewis et&#xa0;al., 2016</xref>, <xref ref-type="bibr" rid="B37">Lewis et&#xa0;al., 2009</xref>)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Mature miRNA sequences listed with bold nucleotides are non-conserved regions; dashes represent gaps within in the annotated sequence when aligned to the model organism.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Heatmap of the differential miRNA expression in juvenile Arctic cod (<italic>B. saida</italic>) brain tissue following a 4 month exposure to pH 7.2 and pH 7.9. Color indicates z-score from low/downregulated (blue) to high/upregulated (red).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1247344-g001.tif"/>
</fig>
<p>Inter-individual variance was observed in the expression levels of the 17 miRNA in the two pH treatments (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). However, mir-135b, mir-144-3p, mir-140-3p, mir-218b, mir-460, and mir-9-1 were significantly DE across all three individuals within the pH 7.2 treatment. Mir-135b had the highest fold change between treatments (2.51; <xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>).</p>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>MiRNAs are integral components of organismal stress responses, but little is known of their role in maintaining neurosensory function under elevated CO<sub>2</sub> conditions. Using Arctic cod whole brain tissues, our study uncovered the significant differential expression of 12 miRNAs following exposure to acidified conditions. Our analytical focus on highly conserved miRNAs with known neurosensory roles in model organisms revealed several miRNAs of interest for future functional studies and charts a path forward for miRNA investigations of organisms without an annotated genome.</p>
<p>The select group of 17 miRNAs identified in this study have been directly or indirectly associated with hair cell damage and hearing loss in model organisms, and 12 of those were significantly DE. Cod exposed to ocean acidification conditions demonstrated significant upregulation of mir-101a and mir-218b, which can be demonstrative of chronic stress and indirectly associated with sudden sensory neural hearing loss (<xref ref-type="bibr" rid="B43">Masuda and Kanzaki, 2013</xref>). Significant DEs of mir-140-3p, mir-210, mir-24-1, mir-181c-3p, and mir-9-1 are directly associated with sudden sensory neural hearing loss in model organisms (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>). We caution that mir-181c-3p is not a highly conserved miRNA, so we were unable to acquire the E-value or the percentage of query coverage; this miRNA needs validation in future experiments. Perhaps most interesting was the significant upregulation of mir-144-3p under low pH conditions. The upregulation of this miRNA has been correlated with GABAergic dysfunction (following <xref ref-type="bibr" rid="B45">Nilsson et&#xa0;al., 2012</xref>), which is hypothesized to play a role in CO<sub>2</sub>-induced sensory impairment and is further associated with neurotoxicity and neural injury.</p>
<p>Strikingly, mir-135b showed the highest fold increase (2.51) in fish exposed to low pH. When upregulated, this miRNA helps protect against neuroinflammation and oxidative stress (<xref ref-type="bibr" rid="B54">Schell et&#xa0;al., 2022</xref>); the latter stressors have been correlated with hair cell degradation and hearing loss in zebrafish, mice, and humans (<xref ref-type="bibr" rid="B31">Huang et&#xa0;al., 2000</xref>; <xref ref-type="bibr" rid="B10">Canlon et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B12">Chen et&#xa0;al., 2022</xref>). Interestingly, mir-135b is hypothesized to play a role in inner ear development, maintenance, and protection, suggesting its importance in early life history. Yet this miRNA has also been highlighted in studies of elderly human subjects with and without hearing loss, suggesting the importance of its role as a protectant (<xref ref-type="bibr" rid="B58">Sekine et&#xa0;al., 2017</xref>). It is therefore possible that environmental exposure to high CO<sub>2</sub>/low pH induces both neural tissue and hair cell damage in fishes, and that the upregulation of mir-135b evidences a strong compensatory physiological protective response.</p>
<p>There is ample evidence of auditory recovery in fishes following exposure to stressors (<xref ref-type="bibr" rid="B55">Scholik and Yan, 2001</xref>; <xref ref-type="bibr" rid="B1">Amoser and Ladich, 2003</xref>; <xref ref-type="bibr" rid="B8">Breitzler et&#xa0;al., 2020</xref>). <xref ref-type="bibr" rid="B59">Smith et&#xa0;al. (2004)</xref> demonstrated partial recovery of hair cells 8 days after acoustic trauma in goldfish (<italic>Carrasius auratus)</italic>, with full recovery of auditory function in 14 days. Collectively, this raises an interesting question of whether environmentally-induced dysregulation of miRNAs associated with auditory performance would impede the potential for hair cell regeneration and auditory recovery in fishes. There remain interesting open questions about the deleterious effects of intensity and duration of CO<sub>2</sub> exposure on neurosensory system change and resulting impacts on recovery times from environmental stress. Concerns about auditory performance and recovery in marine organisms are magnified given the rapid increases in anthrophony and other marine noise over the past century as global oceans become louder and auditory cuescapes more complex (<xref ref-type="bibr" rid="B20">Duarte et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B29">Horodysky et&#xa0;al., 2022</xref>).</p>
<p>While several promising miRNAs associated with audition were detected in our study, our inferences were admittedly limited by a high degree of individual variation across small sample sizes. The individual variation in miRNA expression may be due to considerable intraspecific variation in auditory performance and/or differential resilience to environmental change (<xref ref-type="bibr" rid="B35">Ladich and Fay, 2013</xref>; <xref ref-type="bibr" rid="B57">Schunter et&#xa0;al., 2016</xref>; Horodysky, <italic>in preparation</italic>); individual trait diversity must be understood to predict ecological resilience to climate change (<xref ref-type="bibr" rid="B61">Ward et&#xa0;al., 2016</xref>). In fact, we suggest such individual variance in miRNA expression could actually be harnessed in future studies to provide insight into differential adaptation to environmental change. Some individuals may be more resilient to certain environmental stressors, with adaptive potential for positive transgenerational outcomes; conversely, transgenerational effects of ocean acidification may have adverse epigenetic consequences for poorly adapted lineages, reducing fitness of offspring (<xref ref-type="bibr" rid="B56">Schunter et&#xa0;al., 2019</xref>).</p>
<p>Other caveats of our approach bear consideration, yet we collectively believe that this technique provides an exciting new tool for studies of physiological performance of fisheries resources in the Anthropocene. The use of whole brain in our miRNA extractions may have contributed to within-treatment variance, and a finer dissection of brain structures could reduce potential for cross-contamination of tissue surrounding or encapsulated in the brain and adjacent otoliths (e.g., blood and endolymph). Whole brain samples may dilute region-specific concentrations of specialized miRNAs that are highly DE in very defined locations of the brain. Finer-scale brain-tissue expression profiles can also reveal more specific miRNA roles in the auditory process, while simultaneously identifying other neurosensory processes and potential impairments. To that end, we observed DE of miRNAs associated with olfactory (mi-140 and mir-214), reproductive (mir-29), and visual (retinal degeneration; mir-183, mir-182, mir-96, mir-7, mir-124) impairment. However, DE in the whole brain alone may not be sufficiently indicative to characterize visual or reproductive impairment; we strongly recommend also assaying additional tissues from relevant organ systems (i.e. retinas and/or gonads, in this example) in the future. Although beyond the scope of the present Brief Research Report, transcriptomics would allow researchers to connect the regulome with functional consequences, allowing far more explicit prediction/identification of novel miRNAs and their target genes that may be affected by CO<sub>2</sub>-induced ocean acidification. Such an approach requires a genome assembly for the study species, which does not exist at present for <italic>B. saida</italic>; we suggest that this is a worthwhile undertaking to advance mechanistic understanding. Finally, and perhaps most excitingly, this miRNA approach can efficiently survey a study system or exposure protocol to generate mechanistic hypotheses across a myriad of physiological systems. Such an approach may be ideal to guide future experiments and extends well to studies of stressors resulting from climate change, ocean acidification, pollutants, and other human activities.</p>
<p>In this study, we identified 12 significantly DE miRNAs between low and high CO<sub>2</sub> exposures, which are either directly or indirectly associated with reduced auditory performance in Arctic cod. We suggest that CO<sub>2</sub> exposure induces miRNA dysregulation that can lead to or exacerbate hair cell damage, hinder recovery, and promote neuroinflammation; conjointly these may mechanistically drive or magnify the observed reductions in auditory performance in fish hearing studies. In species with observed otolith hypertrophy or asymmetry following exposure to ocean acidification, CO<sub>2</sub>-induced miRNA dysregulation may be synergistic in causing observed auditory deficits. But more importantly, this neurological mechanism may be the proximal cause of auditory deficits in species with unaltered otolith morphology following CO<sub>2</sub> exposure. We contend that many neurological processes in fishes may be generally affected by elevated CO<sub>2</sub>, however, the exact mechanistic underpinnings, as well as the extent and duration of this impairment may be species and/or life stage specific, warranting careful investigation. Collectively, we conclude that miRNA sequencing provides a promising approach to guide future physiological and behavioral studies of the effects of abiotic and anthropogenic change on organismal sensory structure and function, particularly when paired with physiological performance assays and miRNA functional studies.</p>
</sec>
<sec id="s5" sec-type="data-availability">
<title>Data availability statement</title>
<p>The data presented in the study are deposited in the NIH SRA repository, BioProject accession PRJNA1007783; sample accession #s: SRX21439117-SRX21439122 and are accessible at: <uri xlink:href="https://www.ncbi.nlm.nih.gov/sra/PRJNA1007783">https://www.ncbi.nlm.nih.gov/sra/PRJNA1007783</uri>.</p>
</sec>
<sec id="s6" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The animal study was approved by Hampton University Institutional Animal Care and Use Committee (IACUC). The study was conducted in accordance with the local legislation and institutional requirements.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>CS analyzed the data, created figures, and wrote the manuscript.  CB funded microRNA extraction and analysis, assisted with data analysis, and edited the manuscript. CM conducted fish husbandry, collected seawater carbonate chemistry samples, and edited the manuscript. TH funded and oversaw all fish husbandry components and CO<sub>2</sub> exposures, and edited the manuscript. AH planned experiments and logistics, selected and dissected fish, funded microRNA analysis, and assisted in manuscript writing and editing. All authors contributed to the article and approved the submitted version.</p>
</sec>
</body>
<back>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>AH and CS were supported by NSF-CAREER #1846004 while at Hampton University. CB was supported by NSF HRD# 2000211. Arctic cod exposures, dissections, and molecular procedures were also supported by NSF HRD #1600691 (to AH at Hampton University) and by a grant to TH from NOAA&#x2019;s Ocean Acidification Program.</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>The authors thank two reviewers for comments that strengthened this manuscript, and J. Andrade, S. Haines, P. Iseri, and M. Ottmar for assistance with laboratory culture and fish sampling. N. Monacci performed seawater chemical analyses. L. Spencer provided valuable comments on an earlier version of this manuscript.</p>
</ack>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
<p>The author AH declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.</p>
</sec>
<sec id="s10" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s11" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fmars.2023.1247344/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fmars.2023.1247344/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Table_1.pdf" id="SM1" mimetype="application/pdf"/>
<supplementary-material xlink:href="Table_2.xlsx" id="SM2" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"/>
</sec>
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