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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.2023.1185015</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Marine Science</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Divergent molecular responses of greater amberjack (<italic>Seriola dumerili</italic>) to acute salinity stress revealed by comparative transcriptome analysis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>Yuqi</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Yang</surname>
<given-names>Yuchen</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</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/1395584"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Qin</surname>
<given-names>Ruotong</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Peng</surname>
<given-names>Yuhao</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Huang</surname>
<given-names>Yang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhu</surname>
<given-names>Chunhua</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2083247"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Guangli</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1371464"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Jiang</surname>
<given-names>Dongneng</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Shi</surname>
<given-names>Hongjuan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1422997"/>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Guangdong Research Center on Reproductive Control and Breeding Technology of Indigenous Valuable Fish Species, Guangdong Provincial Key Laboratory of Aquatic Animal Disease Control and Healthy Culture, Fisheries College, Guangdong Ocean University</institution>, <addr-line>Zhanjiang, Guangdong</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>State Key Laboratory of Biocontrol, School of Ecology, Sun Yat-sen University, Shenzhen</institution>, <addr-line>Guangzhou</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Development and Research Center for Biological Marine Resources, Southern Marine Science and Engineering Guangdong Laboratory (Zhanjiang)</institution>, <addr-line>Zhanjiang, Guangdong</addr-line>, <country>China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Guangdong Provincial Key Laboratory of Marine Resources and Coastal Engineering, Guangzhou</institution>, <addr-line>Guangdong</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Melissa Diogo Faria, Leitat Technological Center, Spain</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Shaowu Yin, Nanjing Normal University, China; Chunyan Zhao, Qingdao Agricultural University, China</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Yuchen Yang, <email xlink:href="mailto:yangych68@mail.sysu.edu.cn">yangych68@mail.sysu.edu.cn</email>; Hongjuan Shi, <email xlink:href="mailto:shihj@gdou.edu.cn">shihj@gdou.edu.cn</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>25</day>
<month>07</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>10</volume>
<elocation-id>1185015</elocation-id>
<history>
<date date-type="received">
<day>13</day>
<month>03</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>20</day>
<month>06</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Liu, Yang, Qin, Peng, Huang, Zhu, Li, Jiang and Shi</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Liu, Yang, Qin, Peng, Huang, Zhu, Li, Jiang and Shi</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>Greater amberjack (<italic>Seriola dumerili</italic>) is an important commercial fish for its high growth rate and excellent flesh quality. However, its sensitivity to variations of water salinity poses challenges to the cage culture. In this study, the greater amberjack were reared in the optimum salinity (30 ppt, CK) and undesired regimes (10 and 40 ppt) for 72 hours. The molecular adaptive mechanisms to salinity stress were revealed by the comparative transcriptome analysis for the gills and kidneys. In gills, a total of 445 and 423 differentially expressed genes (DEGs) were identified in 10 and 40 ppt salinity stress groups, respectively. Those DEGs were involved in cartilage and skeletal development, ions transport, and immune response. The major ion secretion and osmoregulation transport proteins gene <italic>slc12a2</italic>/<italic>nkcc1</italic> and <italic>cftr</italic> expression levels were significantly down-regulated at 10 ppt, but slightly activated at 40 ppt, compared with the control group. The expression changes in response to the Na<sup>+</sup>, K<sup>+</sup> movement, and Cl<sup>-</sup> ion secretion reduced under the hypo-osmotic exposure and ion excretion boost upon hyper-salinity stress. Meanwhile, the cartilage and skeletal development were enhanced in the gills by hypo- or hyper-salinity stimuli, which is critical for maintaining gill structures and improving respiration and osmoregulation under salinity stress. In kidneys, 600 and 539 DEGs were identified in 10 and 40 ppt groups, respectively. Those DEGs were enriched in oxygen transport, pronephros development, regulation of growth, blood coagulation, ion transmembrane transport, and immune response. While the known renal Na<sup>+</sup>/Cl<sup>&#x2013;</sup> co-transporter gene <italic>slc12a3</italic>/<italic>ncc</italic> expression level was significantly down-regulated at 10 ppt, the organic cation transporter 2 gene <italic>slc22a2</italic>, ammonium transmembrane transport gene <italic>rhd</italic> and <italic>rhag</italic> expression levels were overexpressed under the hyper-salinity condition at 40 ppt, contributing to the salts secretion and ammonium transport regulation, to combat the osmotic influx of salts following the drink of seawater and elevated ammonia production upon high salinity stress. These findings advance our knowledge of adaptative mechanisms to the salinity stress and provide theoretical guidance for the optimal breeding mode for the aquaculture of greater amberjack.</p>
</abstract>
<kwd-group>
<kwd>salinity stress</kwd>
<kwd>osmoregulation</kwd>
<kwd>greater amberjack</kwd>
<kwd>gills</kwd>
<kwd>kidneys</kwd>
</kwd-group>
<counts>
<fig-count count="4"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="94"/>
<page-count count="14"/>
<word-count count="7107"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Aquatic Physiology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Fish is an important resource of protein and nutrient supply to humans. Environmental factors, such as temperature, salinity, and food availability, affect fish growth and survival, especially under artificial cultural conditions. Salinity is recognized as critical and substantial affect factor (<xref ref-type="bibr" rid="B30">Gonzalez, 2012</xref>). Teleost fishes grown in freshwater maintain a higher blood osmolality than the surrounding environment. They enhance ion uptake in gills, increase ion reabsorption, and produce diluted urine in the kidneys to compensate for ion loss (<xref ref-type="bibr" rid="B15">Chen et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B45">K&#xfc;ltz, 2012</xref>). In contrast, marine fish have a lower body salt concentration than seawater. To combat the challenges of hyperosmolarity, fish may excrete more salt through gills and reduce the glomerular filtration rates in the kidneys to maintain the fluid and ion balance (<xref ref-type="bibr" rid="B21">Evans, 2008</xref>; <xref ref-type="bibr" rid="B48">Laverty and Skadhauge, 2012</xref>; <xref ref-type="bibr" rid="B32">Gui et&#xa0;al., 2016</xref>).</p>
<p>Saline-alkali fluctuations beyond the osmoregulation capacity of fishes may pose adverse impacts on their growth and survival rates, metabolism, immunity, and reproduction (<xref ref-type="bibr" rid="B49">Lehtonen et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B33">Guo et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B27">Galkanda-Arachchige et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B57">Lu et&#xa0;al., 2022</xref>), and affect fish performance, flesh quality and production in aquaculture. Freshwater fish species, such as Nile tilapia (<italic>Oreochromis niloticus</italic>) (<xref ref-type="bibr" rid="B69">Pepe et&#xa0;al., 2022</xref>), grass carp (<italic>Ctenopharyngodon idella</italic>) (<xref ref-type="bibr" rid="B55">Liu et&#xa0;al., 2023</xref>), African catfish (<italic>Clarias gariepinus</italic>) (<xref ref-type="bibr" rid="B93">Zidan et&#xa0;al., 2022</xref>), and rohu (<italic>Labeo rohita</italic>) (<xref ref-type="bibr" rid="B73">Sarma et&#xa0;al., 2020</xref>) exhibit a higher growth rate and better physiological performance when reared under low salinity environment than that of high salinity, which is because of the resource allocation trade-off between the energy spent on osmoregulation for growth and development under the desirable ambient salinity. In contrast, the growth of marine fish species, including Brazilian flounder (<italic>Paralichthys orbignyanus</italic>) (<xref ref-type="bibr" rid="B72">Sampaio and Bianchini, 2002</xref>), black seabream (<italic>Acanthopagrus schlegelii</italic>) (<xref ref-type="bibr" rid="B51">Li et&#xa0;al., 2022</xref>), and yellowtail kingfish (<italic>Seriola lalandi</italic>) (<xref ref-type="bibr" rid="B64">Morgenroth et&#xa0;al., 2022</xref>) were suppressed when switched from seawater to freshwater. Deviating from ionic and osmotic homeostasis under unfavorable salinity conditions can interfere with fish energy supply and hormone production (<xref ref-type="bibr" rid="B82">Tsuzuki et&#xa0;al., 2007</xref>).</p>
<p>Furthermore, salinity may directly impact the fish&#x2019;s immune systems (<xref ref-type="bibr" rid="B31">Gu et&#xa0;al., 2018</xref>). In pipefish (<italic>Syngnathus typhle</italic>), the elevated saline-alkali stress impaired the immune resistance upon infection and increased the risk of susceptibility (<xref ref-type="bibr" rid="B8">Birrer et&#xa0;al., 2012</xref>). The innate immunity of striped catfish (<italic>Pangasianodon hypophthalmus</italic>) has been demonstrated to be substantially affected by the changes in osmotic environments (<xref ref-type="bibr" rid="B34">Hieu et&#xa0;al., 2021</xref>). The activities of lysozyme and alternative complement pathway (ACP) were substantially elevated in mandarin fish (<italic>Siniperca chuatsi</italic>) (<xref ref-type="bibr" rid="B65">Ouyang et&#xa0;al., 2023</xref>), Asian seabass (<italic>Lates calcarifer</italic>) (<xref ref-type="bibr" rid="B5">Azodi et&#xa0;al., 2021</xref>) and Mozambique tilapia (<italic>Oreochromis mossambicus</italic>) (<xref ref-type="bibr" rid="B39">Jiang et&#xa0;al., 2008</xref>) when exposed to high salinity environments. In recent years, with the assistance of high-throughput sequencing technologies, many studies have unveiled the molecular mechanisms underlying the adaptive responses to salinity changes in teleost fish, such as spotted sea bass (<italic>Lateolabrax maculatus</italic>) (<xref ref-type="bibr" rid="B89">Zhang et&#xa0;al., 2017</xref>), half-smooth tongue sole (<italic>Cynoglossus semilaevis</italic>) (<xref ref-type="bibr" rid="B78">Si et&#xa0;al., 2018</xref>), silver pomfret (<italic>Pampus argenteus</italic>) (<xref ref-type="bibr" rid="B52">Li et&#xa0;al., 2020</xref>), Mozambique tilapia (<xref ref-type="bibr" rid="B41">Kammerer et&#xa0;al., 2009</xref>) and Atlantic salmon (<italic>Salmo salar</italic>) (<xref ref-type="bibr" rid="B29">Gjessing et&#xa0;al., 2020</xref>). Two novel nucleotide-binding and oligomerization domain (NOD)-like receptors (NLRs) were identified in grass carp, and NLRs can enhance their resistance to bacterial infection upon hyper-salinity stress (<xref ref-type="bibr" rid="B24">Fang et&#xa0;al., 2022</xref>). Although many studies have been performed in the common fish species, more efforts are still required in other fishes to broaden our understanding.</p>
<p>Greater amberjack (<italic>Seriola dumerili</italic>), the largest species in <italic>Seriola</italic>, is widely distributed across the Indo-Pacific Ocean, Mediterranean Sea, and Atlantic Ocean (<xref ref-type="bibr" rid="B94">Zupa et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B4">Araki et&#xa0;al., 2018</xref>). Due to its rapid growth and excellent flesh quality, greater amberjack exhibits a high commercial value, and more attention is dedicated to its marine cage culture (<xref ref-type="bibr" rid="B60">Mazzola et&#xa0;al., 2000</xref>). Greater amberjack inhabits the upper and middle layers of warm seas, and its reproduction and survival are dependent on the suitable water temperature and salinity (<xref ref-type="bibr" rid="B25">Fern&#xe1;ndez-Montero et&#xa0;al., 2018</xref>). The oscillation in water salinity can alter the energy metabolism, ion transport, and electrophysiological processes in greater amberjack (<xref ref-type="bibr" rid="B6">Barany et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B68">Peng et&#xa0;al., 2022</xref>). However, previous studies only focused on the responses in gills or livers. The kidneys are another important osmoregulatory organ in teleost fishes. In freshwater, fish kidneys up-regulates salt reabsorption to compensate for salt loss while enhancing the excretion of excess divalent ions and water conservation in seawater to maintain the proper blood osmolarity (<xref ref-type="bibr" rid="B15">Chen et&#xa0;al., 2009</xref>). A comprehensive study is required to understand the molecular mechanisms that respond to salinity fluctuations in the kidneys of greater amberjack, which brings new insights into the aquacultural strategy.</p>
<p>In this study, the transcriptomic dynamics in the gill and kidney tissues of greater amberjack juveniles reared under different salinity regimes were investigated. Our findings unravelled the adaptive mechanism involved in coping with the impacts of salinity stress on greater amberjack, which provide theoretical guidance for the optimal breeding mode for greater amberjack.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Ethics statement</title>
<p>All the experiments were implemented according to the guidelines and regulations of the Animal Research and Ethics Committee of Guangdong Ocean University (NIH Pub. No. 85-23, revised 1996) and the laws and regulations of China on biological research. No endangered or protected species were involved in this study.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Experimental fish and salinity stress</title>
<p>Greater amberjack juveniles (body weight: 6.94 &#xb1; 0.45&#xa0;g; body length: 8.40 &#xb1; 0.54&#xa0;cm) were reared in tanks at the temperature of 22 &#xb1; 1.0&#xb0;C in Donghai Island, Guangdong, China. All fish were fed on a commercial diet (Guangdong Yuequn Biotechnology Co., Ltd, Jieyang, China) twice daily. They were randomly divided into 12 cylindrical 1000 L tanks (10 individuals per tank) at different salinities: 40, 30, and 10 parts per thousand (ppt), where all the saline was prepared with commercial seawater salty crystal and aerated tap water. The fish reared in the water with a median salinity of 30 ppt, the natural seawater condition, were set as the control group (CK). The water was changed once a day (every 24&#xa0;h). All animal experiment protocols were authorized by the Institutional Animal Care and Use Committee of Guangdong Ocean University (Zhanjiang, China). At 72&#xa0;h treatment, six fish (biological replicates) were randomly selected from each group. All fish were anesthetized using 100 mg/L tricaine methane sulfonate (MS 222; Sigma-Aldrich, St. Louis, MO, USA) and then dissected. The mixed partial gill filament from each gill arch and whole kidney tissues were taken from each individual of each group, collected in centrifuge tubes containing 1 mL RNA stabilization reagent (Accurate Biology, Changsha, China) overnight, and stored at -80&#xb0;C for further experiments.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Total RNA extraction, library construction, and sequencing</title>
<p>For each individual, total RNA was extracted from the gill and kidney tissues of each collected individual using a Trizol reagent (Invitrogen, Carlsbad, CA, USA), following the manufacturer&#x2019;s instructions. The cleavage of tissue samples, RNA extraction, RNA purity, degradation, and contamination examinations were performed according to the previous study (<xref ref-type="bibr" rid="B75">Shi et&#xa0;al., 2022</xref>). The RNA integrity was examined using an Agilent 2100 bioanalyzer (Agilent Technologies, Santa Clara, CA, USA). Total RNA with an RNA integrity number (RIN) score &gt;7 was used for sequencing.</p>
<p>According to the manufacturer&#x2019;s instructions, a total of 1 &#xb5;g RNA was used for sequencing library construction using NEBNext UltraTM RNA Library Prep Kit for Illumina<sup>&#xae;</sup> (NEB, Ipswich, MA, USA). The messenger RNA (mRNA) was purified using poly-T oligo-attached magnetic beads (Illumina, San Diego, CA, USA) after treating the RNA samples with DNase I (NEB, Ipswich, MA, USA). A fragmentation buffer reagent (New England Biolabs (NEB), Ipswich, MA, USA) was used to fragment mRNA into short fragments. The library fragments were purified using the AMPure XP Reagent (Beckman Coulter, Beverly, USA). USER Enzyme (NEB, Ipswich, MA, USA) was applied to make the adaptor-ligated complementary DNA (cDNA) for the downstream PCR. Then, polymerase chain reaction (PCR) was carried out using Phusion High-Fidelity DNA polymerase (NEB, Ipswich, MA, USA), with universal PCR primers and index (X) primer. PCR products were purified using the AMPure XP system (NEB, Ipswich, MA, USA). The library quantity and quality were assessed on the Agilent Bioanalyzer 2100 system (Agilent Technologies, Palo Alto, CA, USA) and StepOnePlus Real-Time PCR System (Thermo Fisher Scientific, Santa Clara, CA, USA), respectively. The index-coded samples were clustered using the cBot Cluster Generation System with the TruSeq PE Cluster Kit v4-cBot-HS (Illumina, San Diego, CA, USA). All cDNA libraries were sequenced on the Illumina NovaSeq 6000 platform (Illumina, San Diego, CA, USA).</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Transcriptome assembly and functional gene annotation</title>
<p>All the generated raw sequencing data were deposited and submitted to Gene Expression Omnibus (GEO) of the National Center for Biotechnology Information (NCBI) with an accession number GSE220485 (GSM6805719-GSM6805730). The raw reads were pre-processed for each library, including removing adapter contamination and filtering out the reads containing ploy-N and the low-quality bases through in-house perl scripts. The Q20, Q30, GC-content, and sequence duplication levels of the clean data were assessed to illustrate the data quality after quality control. Then, the clean reads from each sample were mapped to the reference genome of <italic>S. dumerili</italic> using HISAT2 (<xref ref-type="bibr" rid="B43">Kim et&#xa0;al., 2019</xref>).</p>
<p>Gene functions were annotated against the NCBI&#x2019;s non-redundant (NR; <ext-link ext-link-type="uri" xlink:href="ftp://ftp.ncbi.nih.gov/blast/db/">ftp://ftp.ncbi.nih.gov/blast/db/</ext-link>), Swiss-Prot (<ext-link ext-link-type="uri" xlink:href="http://www.uniprot.org/">http://www.uniprot.org/</ext-link>), Kyoto Encyclopedia of Genes and Genomes (KEGG; <ext-link ext-link-type="uri" xlink:href="http://www.genome.jp/kegg/">http://www.genome.jp/kegg/</ext-link>) and Gene Ontology (GO; <ext-link ext-link-type="uri" xlink:href="http://www.geneontology.org/">http://www.geneontology.org/</ext-link>) databases, using the BLASTx (v. 2.2.26; <ext-link ext-link-type="uri" xlink:href="https://blast.ncbi.nlm.nih.gov/">https://blast.ncbi.nlm.nih.gov/</ext-link>) with an E-value cutoff of 1 &#xd7; e<sup>-5</sup>.</p>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Data structure and differential expression analysis</title>
<p>The gene expression level was inferred by the read abundance computed using featureCounts (<xref ref-type="bibr" rid="B53">Liao et&#xa0;al., 2014</xref>). The data structure was then assessed by principal component analysis (PCA) using the DESeq2 package (v. 1.38.3) (<xref ref-type="bibr" rid="B56">Love et&#xa0;al., 2014</xref>). The expression data were first log2 transformed and the genes were sorted based on their variance across samples. The top 500 genes with the largest variance were selected for PCA using the <italic>prcomp</italic> function. DESeq2 was used to identify differentially expressed genes (DEGs) under each of salinity stress conditions (10 or 40 ppt) against CK (30 ppt), where Wald test was employed to compute the <italic>p</italic>-value for each tested gene. Benjamini and Hochberg (BH) method was used to adjust the <italic>p</italic>-value to correct for multiple testing. Genes with adjusted <italic>p</italic>-value &lt; 0.05 and |log<sub>2</sub> fold change| &gt; 1.0 were significantly differentially expressed. DEGs showing higher or lower expression levels than CK for each stress condition were denoted as &#x201c;up-regulated&#x201d; or &#x201c;down-regulated&#x201d; genes, respectively. GO and KEGG pathway enrichment analyses were performed on up- and down-regulated DEGs using clusterProfiler (<xref ref-type="bibr" rid="B88">Yu et&#xa0;al., 2012</xref>). The statistical significance (<italic>p</italic>-value) was measured based on hypergeometric distribution, and the GO terms and KEGG pathways with <italic>p</italic>-value&#xa0;&lt; 0.05 were significantly over-represented.</p>
</sec>
<sec id="s2_6">
<label>2.6</label>
<title>Trend analysis across different salinity regimes</title>
<p>Trend analysis was carried out for the gills and kidneys across the salinity conditions (10, 30, and 40 ppt) using the Mfuzz package (<xref ref-type="bibr" rid="B26">Futschik and Carlisle, 2005</xref>; <xref ref-type="bibr" rid="B47">Kumar and Futschik, 2007</xref>). The gene expression level was normalized within each sample as transcripts per million (TPM). Genes of low variation among conditions were filtered out from the subsequent steps. The retained genes were clustered into six groups of different expression trends across different salinities using the Mfuzz function for each tissue (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S1, S2</bold>
</xref>). Fisher&#x2019;s exact test was used to assess the statistical significance of enrichment of each cluster following the strategy as described previously (<xref ref-type="bibr" rid="B71">Qian et&#xa0;al., 2020</xref>). Our null hypothesis is that there is no difference in gene numbers across all the trends. To test the hypothesis, all the tested genes were first randomly assigned into six clusters 10,000 times, and the median of the number of genes in each cluster was set as the background. For each cluster, the significance level of the over-representation was tested using one-tail Fisher&#x2019;s exact test. The clusters with <italic>p</italic>-value &lt; 0.05 were considered to have a significantly higher proportion of genes than the random assignment.</p>
</sec>
<sec id="s2_7">
<label>2.7</label>
<title>Real-time quantitative polymerase chain reaction (qRT-PCR) validation</title>
<p>To validate the DEGs from RNA sequencing (RNA-seq) data, a total of 10 DEGs were randomly selected (five for the gills and five for the kidneys), and their expression levels were assessed by qRT-PCR. The procedure of qRT-PCR is as follows: initial denaturation at 94&#xb0;C for 5&#xa0;min, followed by 35 cycles of 20 s denaturation at 94&#xb0;C, 20 s annealing at 55&#xb0;C and 20 s extension at 72&#xb0;C. The primers of all selected genes were designed by Primer Premier software v5.0 (Premier Biosoft International, Palo Alto, CA, USA) and listed in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S1</bold>
</xref>. A light CyclerTM96 (Roche, Indianapolis, IN, USA) was employed for qRT-PCR using SYBR Green Real-time PCR Master Mix (TaKaRa Biotechnology, Dalian, China). All samples were validated in triplicates. <italic>&#x3b2;</italic>-<italic>actin</italic> was used as the reference gene, which was identified to be stably expressed in greater amberjack (<xref ref-type="bibr" rid="B19">Djellata et&#xa0;al., 2021</xref>). The relative expression levels of DEGs were estimated using the 2<sup>-&#x394;&#x394;Ct</sup> method. Data were expressed as means &#xb1; standard error (SE) (n = 3). The statistical analysis was performed in the SPSS v. 16.0 (SPSS Inc., Chicago, IL, USA).</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Illumina sequencing and annotation</title>
<p>A total of 12 cDNA libraries (G10, G30, G40, K10, K30, and K40; <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>) were constructed to assess the transcriptional responses to salinity stress in the gill and kidney tissues of greater amberjack. After quality control, 134.02 and 136.21 million clean reads were retained for the downstream transcriptomic analyses of the gills and kidneys, respectively. The Q30 values of the clean reads were greater than 91% in all the samples, indicating good data quality. Summary statistics for all the 12 cDNA libraries, including the number of clean reads and bases, Q20 and Q30 values, and GC content, are listed in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Summary statistics for the RNA sequencing (RNA-seq) data of the gills and kidneys in greater amberjack.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Tissue</th>
<th valign="top" align="left">ppt</th>
<th valign="top" align="left">Group</th>
<th valign="top" align="left">Clean Reads</th>
<th valign="top" align="left">Clean Bases</th>
<th valign="top" align="left">Q20 (%)</th>
<th valign="top" align="left">Q30 (%)</th>
<th valign="top" align="left">GC Contents (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" rowspan="6" align="left">Gills</td>
<td valign="top" rowspan="2" align="left">10</td>
<td valign="middle" align="left">G10-1</td>
<td valign="middle" align="left">26,059,952</td>
<td valign="middle" align="left">7,803,405,060</td>
<td valign="middle" align="left">97.74</td>
<td valign="middle" align="left">93.58</td>
<td valign="middle" align="left">49.48</td>
</tr>
<tr>
<td valign="middle" align="left">G10-2</td>
<td valign="middle" align="left">23,215,995</td>
<td valign="middle" align="left">6,952,281,632</td>
<td valign="middle" align="left">97.87</td>
<td valign="middle" align="left">93.83</td>
<td valign="middle" align="left">49.62</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">30</td>
<td valign="middle" align="left">G30-1</td>
<td valign="middle" align="left">23,474,603</td>
<td valign="middle" align="left">7,027,887,650</td>
<td valign="middle" align="left">97.56</td>
<td valign="middle" align="left">93.17</td>
<td valign="middle" align="left">49.66</td>
</tr>
<tr>
<td valign="middle" align="left">G30-2</td>
<td valign="middle" align="left">20,061,232</td>
<td valign="middle" align="left">6,003,893,940</td>
<td valign="middle" align="left">97.87</td>
<td valign="middle" align="left">93.87</td>
<td valign="middle" align="left">49.57</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="left">40</td>
<td valign="middle" align="left">G40-1</td>
<td valign="middle" align="left">20,076,407</td>
<td valign="middle" align="left">6,011,821,382</td>
<td valign="middle" align="left">97.8</td>
<td valign="middle" align="left">93.74</td>
<td valign="middle" align="left">49.6</td>
</tr>
<tr>
<td valign="middle" align="left">G40-2</td>
<td valign="middle" align="left">23,061,892</td>
<td valign="middle" align="left">6,906,477,408</td>
<td valign="middle" align="left">97.65</td>
<td valign="middle" align="left">93.39</td>
<td valign="middle" align="left">49.83</td>
</tr>
<tr>
<td valign="middle" rowspan="6" align="left">Kidneys</td>
<td valign="middle" rowspan="2" align="left">10</td>
<td valign="top" align="left">K10-1</td>
<td valign="top" align="left">24,232,415</td>
<td valign="top" align="left">7,253,677,772</td>
<td valign="top" align="left">97.81</td>
<td valign="top" align="left">93.73</td>
<td valign="top" align="left">49.55</td>
</tr>
<tr>
<td valign="top" align="left">K10-3</td>
<td valign="top" align="left">20,159,390</td>
<td valign="top" align="left">6,036,768,144</td>
<td valign="top" align="left">97.72</td>
<td valign="top" align="left">93.47</td>
<td valign="top" align="left">49.38</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="left">30</td>
<td valign="top" align="left">K30-1</td>
<td valign="top" align="left">22,511,913</td>
<td valign="top" align="left">6,741,501,954</td>
<td valign="top" align="left">97.27</td>
<td valign="top" align="left">92.51</td>
<td valign="top" align="left">49.61</td>
</tr>
<tr>
<td valign="top" align="left">K30-2</td>
<td valign="top" align="left">22,542,672</td>
<td valign="top" align="left">6,746,082,390</td>
<td valign="top" align="left">97.88</td>
<td valign="top" align="left">93.92</td>
<td valign="top" align="left">49.74</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="left">40</td>
<td valign="middle" align="left">K40-1</td>
<td valign="middle" align="left">24,346,164</td>
<td valign="middle" align="left">7,290,992,398</td>
<td valign="middle" align="left">96.93</td>
<td valign="middle" align="left">91.83</td>
<td valign="middle" align="left">49.44</td>
</tr>
<tr>
<td valign="middle" align="left">K40-2</td>
<td valign="middle" align="left">22,225,177</td>
<td valign="middle" align="left">6,652,244,202</td>
<td valign="middle" align="left">97.72</td>
<td valign="middle" align="left">93.47</td>
<td valign="middle" align="left">49.83</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Transcriptional dynamics in response to salinity alterations in gills of greater amberjack</title>
<p>PCA was conducted to explore the consistency in gene expression profiles between samples of each treatment. All the biological replicates were aggregated, and different treatments were substantially distinct from each other (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1A</bold>
</xref>), where 35% and 23% of the variations were explained by the first and second principal components (PCs), respectively. In the gills, 445 DEGs were identified under 10 ppt salinity stress, including 309 up-regulated and 136 down-regulated genes, compared to the CK (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1B</bold>
</xref>; <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S3A</bold>
</xref>). In the 40 ppt saline treatment group, a total of 320 up-regulated and 103 down-regulated genes were detected (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1B</bold>
</xref>; <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S3B</bold>
</xref>). GO enrichment analysis showed that the down-regulated DEGs were enriched in the lipoprotein metabolic process, inorganic anion transport, chloride, and ammonium transmembrane transport (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1C</bold>
</xref>). The up-regulated DEGs under 10 ppt saline were overexpressed in the biological processes involved in cartilage development, oxygen transport, canonical Wnt signaling pathway, transport and microtubule-based process (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1D</bold>
</xref>). Under the salinity stress of 40 ppt, the DEGs, involved in the immune response processes, regulation of anion transmembrane transport, and stress response, were substantially inhibited (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1E</bold>
</xref>). The up-regulated DEGs were found to participate in extracellular matrix organization, skeletal system development, inorganic anion transport, cartilage development, and oxygen transport (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1F</bold>
</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Summary of differentially expressed genes (DEGs) in the gills under different salinity stress. <bold>(A)</bold> Principal component analysis (PCA). <bold>(B)</bold> The number of up- and down-regulated DEGs for each comparison in gills. <bold>(C, D)</bold> Featured GO terms enriched for the down-regulated DEGs <bold>(C)</bold> and up-regulated DEGs <bold>(D)</bold> under 10 ppt condition compared to 30 ppt. <bold>(E, F)</bold> Featured GO terms enriched for the down-regulated DEGs <bold>(E)</bold> and up-regulated DEGs <bold>(F)</bold> under 40 ppt condition compared to 30 ppt.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1185015-g001.tif"/>
</fig>
<p>Compared to the CK, the expression levels of 185 DEGs were enhanced in both 10 and 40 ppt salinity groups, which indicates that these genes participate in the responses to both hypo- and hyper-salinity stress (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>). Of these, the expression levels of 135 and 124 DEGs were specifically induced in 40 and 10 ppt treatment groups, respectively. The significant candidate genes in response to salinity stress in gills are listed in the heatmap, including <italic>slc9a3</italic>, <italic>loxa</italic>, <italic>mmp14b</italic>, <italic>col4a5</italic>, and so on (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>). To investigate the transcriptional dynamics across different salinities, we grouped the genes into six clusters according to the similarities in their expression profiles. Of these, three clusters (1, 3, and 6) were statistically significant (<italic>p</italic>-value = 8.55e-06, 4.12e-07, and 6.21e-14; <xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2C&#x2013;E</bold>
</xref>). In cluster 1, gene expression was increased when the salinity varied from 10 to 30 ppt but reduced as the salinity increased from 30 to 40 ppt. GO enrichment analysis suggested that genes in cluster 1 were involved in lipid metabolism and transport, Golgi organization, and response to hypoxia (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2C</bold>
</xref>). In contrast, the expression levels of genes in cluster 3 were enhanced when the salinity altered from 30 ppt to either 10 or 40 ppt. These genes were significantly enriched in the immune response, cartilage development, extracellular matrix organization, skeletal system development, and actin cytoskeleton organization (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2D</bold>
</xref>). Genes in cluster 6 were substantially down-regulated following the salinity change from 10 to 30 ppt and retained a similar level between 30 and 40 ppt salinity. These genes participated in the mitogen-activated protein kinase (MAPK) cascade, response to stimulus, retrograde transport, endosome to Golgi, cellular iron ion homeostasis, and cytoskeleton organization (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2E</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Transcriptome dynamics across different salinity in the gills. <bold>(A)</bold> Overlap of differentially expressed genes (DEGs) up-regulated under 10 ppt treatment and 40 ppt treatment. <bold>(B)</bold> Heatmap showing gene expression profiles of DEGs under three salinity concentrations (10, 30, and 40 ppt). <bold>(C&#x2013;E)</bold> Significantly enriched clusters of genes with similar expression profiles across three salinity concentrations (10, 30, and 40 ppt). For each cluster, the expression trend of each gene was represented by one line, and the density of lines was highlighted by the intensity of colors (the denser, the more red). Featured GO terms enriched for the genes of each cluster are shown below.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1185015-g002.tif"/>
</fig>
<p>We further compared the gene expression levels between 10 and 40 ppt salinity groups. A total of 118 DEGs were significantly overexpressed in the gills under 40 ppt treatment compared to that of the 10 ppt group (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S4A</bold>
</xref>). Functional enrichment analysis showed that the up-regulated DEGs were enriched in fatty acid metabolism, inorganic anion transport, and lipoprotein metabolic process (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S4B</bold>
</xref>). The down-regulated DEGs were associated with extracellular matri (ECM)-receptor interaction, chloride transmembrane transport, and nucleoside metabolic process (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S4C</bold>
</xref>).</p>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Transcriptional dynamics induced by salinity changes in the kidneys of greater amberjack</title>
<p>In the kidneys of greater amberjack, a total of 600 (206 up- and 394 down-regulated) and 539 (312 up-regulated and 227 down-regulated) DEGs were detected under the salinity stress of 10 and 40 ppt, respectively (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>; <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figures S3C, D</bold>
</xref>). The representative DEGs involved in salinity stress resistance in the kidneys are highlighted in the heatmap, such as <italic>hbae5</italic>, <italic>c5</italic>, <italic>c4b</italic>, <italic>itih2</italic>, and so on (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3B</bold>
</xref>). GO enrichment analysis identified 23 significantly enriched GO terms in 10 ppt saline, where the up-regulated DEGs were involved in oxygen transport and transmembrane transport, while the down-regulated DEGs were highly represented in immune response, negative regulation of endopeptidase activity and lipid transport (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3C</bold>
</xref>). Under the salinity stress of 40 ppt, the up-regulated genes were enriched in 16 GO terms, including those related to the regulation of cell growth, microtubule cytoskeleton organization, and ammonium transmembrane transport. In contrast, blood coagulation, lipid metabolic process, and cellular iron ion homeostasis were enriched for the down-regulated DEGs (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3D</bold>
</xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Transcriptomic alterations in the kidneys under different salinity stress. <bold>(A)</bold> The number of up- and down-regulated differentially expressed genes (DEGs) for each comparison in the kidneys. <bold>(B)</bold> Heatmap showing gene expression profiles of DEGs under three salinity concentrations (10, 30, and 40 ppt). <bold>(C, D)</bold> Featured GO terms enriched for the up- and down-regulated DEGs under 10 ppt <bold>(C)</bold> and 40 ppt conditions <bold>(D)</bold> compared to 30 ppt. Bubble plot showing the featured GO terms enriched for the DEGs induced by 10 <bold>(C)</bold> and 40 ppt <bold>(D)</bold> salinity treatments. <bold>(E-G)</bold> Significantly enriched clusters of genes with similar expression profiles across three salinity concentrations (10, 30, and 40 ppt). For each cluster, the expression trend of each gene was represented by one line, and the density of lines was highlighted by the intensity of colors (the denser, the more red). Featured GO terms enriched for the genes of each cluster are shown below.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1185015-g003.tif"/>
</fig>
<p>In the kidneys, genes exhibited three major trends of expression profiles across different salinities (<italic>p</italic>-value &lt; 0.05; <xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3E-G</bold>
</xref>). In cluster 1 (<italic>p</italic>-value = 0.016), gene expression was increased when switched from 30 ppt to 10 or 40 ppt salinity, and these genes participate in oxygen transport, pronephros development, and extracellular matrix organization (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3E</bold>
</xref>). For cluster 5 (<italic>p</italic>-value = 4.56e-07), the expression levels of genes showed no apparent difference between 10 and 30 ppt salinities, while they were induced by the increased salinity from 30 to 40 ppt. These genes were significantly enriched in ion transmembrane transport, ionotropic glutamate receptor signaling pathway, lipid metabolic process, and microtubule-based movement (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3F</bold>
</xref>). Genes in cluster 6 (<italic>p</italic>-value = 5.20e-09) exhibited the up-regulated gene expression levels from 10 to 30 ppt salinity, while these were down-regulated from 30 to 40 ppt. GO enrichment analysis displayed that these genes were involved in adenosine triphosphate (ATP) synthesis coupled proton transport, negative regulation of endopeptidase activity, steroid hormone-mediated signaling pathway, and blood coagulation (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3G</bold>
</xref>).</p>
<p>In the kidneys, 196 DEGs were detected under hyper-salinity condition (40 ppt) over hypo-salinity scenario (10 ppt) (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S4D</bold>
</xref>). Functional enrichment analysis revealed that the up-regulated DEGs were significantly enriched in the MAPK signaling pathway, Herpes simplex infection, cell growth regulation, and intracellular receptor signaling pathway (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S4E</bold>
</xref>). On the other hand, the down-regulated DEGs were enriched in the cysteine and methionine metabolism, PPAR (peroxisome proliferators-activated receptors) signaling pathway, glycine, serine and threonine metabolism, and lipoprotein metabolic process (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S4F</bold>
</xref>).</p>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Comparative transcriptome analysis between gills and kidneys of greater amberjack under the hypo- and hyper-salinity</title>
<p>To explore the similarity and specificity in stress-response and resistance mechanisms between the different tissues, gills and kidneys, a comparative transcriptome analysis was carried out. When exposed to 10 ppt saline, 24 up-regulated DEGs were overexpressed in both gills and kidneys, which were significantly enriched in oxygen transport, blood vessel development and growth regulatory process (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S5A</bold>
</xref>). A total of 285 and 182 DEGs were up-regulated in gills or kidneys, respectively, mirroring the substantial difference between different tissues. The gill-specific DEGs were enriched in cartilage development, focal adhesion and canonical Wnt signaling pathway, while those specifically up-regulated in kidneys were over-represented in pronephros development, transmembrane transport and nervous system development (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S5A</bold>
</xref>). Similarly, 363 and 105 down-regulated DEGs were specific to gills or kidneys, and only 31 DEGs were overexpressed in both of tissues (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S5B</bold>
</xref>). Functional enrichment analyses illustrated that the DEGs specific to gills were associated with chloride transmembrane transport, ammonium transmembrane transport, and inorganic anion transport, whereas those in the kidneys were enriched in amino acid transmembrane transport, response to stress, and cellular iron ion homeostasis. Those co-expressed DEGs were involved in immune response, cell chemotaxis, and metal ion transport (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S5B</bold>
</xref>).</p>
<p>Under 40 ppt salinity stress, 80 up- and 14 down-regulated DEGs were overlapped in gills and kidneys, while 21 - 73% of the DEGs were identified in the two tissues (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S5C, D</bold>
</xref>). The commonly overexpressed DEGs were enriched in oxygen transport, ECM-receptor interaction, and transport (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S5C</bold>
</xref>), while those of down-regulation were over-represented in immune response, antigen processing, and presentation of peptide antigen <italic>via</italic> MHC class I and response to stimulus (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S5D</bold>
</xref>). The gill-specific up-regulated DEGs were involved in skeletal system development, inorganic anion transport, and hydrogen ion transmembrane transport, whereas those specific to the kidneys were highly represented in microtubule cytoskeleton organization, microtubule-based process, and AGE-RAGE (advanced glycation end product (AGE)-receptor for AGE (RAGE) signaling) signaling pathway in diabetic complications (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S5C</bold>
</xref>). The gill-specific down-regulated DEGs were enriched in blood coagulation, cellular iron ion homeostasis, and primary bile acid biosynthesis, while those DEGs in kidneys were involved in the regulation of anion transmembrane transport, response to stress and toll-like receptor (TLR) signaling pathway (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S5D</bold>
</xref>).</p>
</sec>
<sec id="s3_5">
<label>3.5</label>
<title>Validation by qRT-PCR</title>
<p>The expression levels of five randomly selected DEGs were validated in the gills (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4A</bold>
</xref>) and kidneys (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4B</bold>
</xref>), respectively, by qRT-PCR. In both tissues, the fold changes of the 10 DEGs under the stress of hypo- (10 ppt) and hyper-salinity (40 ppt) were of high consistency between RNA-seq and qRT-PCR (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>), which suggests the reliability of our RNA-seq results.</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Comparison of gene expression alterations under salinity stress between RNA sequencing (RNA-seq) and quantitative polymerase chain reaction (qRT-PCR) in the gills <bold>(A)</bold> and kidneys <bold>(B)</bold>, respectively. The relative expression level of messenger RNA (mRNA) transcripts was detected using qRT-PCR <italic>via</italic> the 2<sup>&#x2212;&#x394;&#x394;Ct</sup> method. Data are expressed as means &#xb1; standard error (SE) (n = 3). <italic>&#x3b2;</italic>-<italic>actin</italic> was used as the reference gene.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1185015-g004.tif"/>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>Salinity stress poses various consequences on fish, including growth, metabolism, and nutrition (<xref ref-type="bibr" rid="B66">Paital and Chainy, 2010</xref>; <xref ref-type="bibr" rid="B46">K&#xfc;ltz, 2015</xref>). In the current study, we described the global transcriptional responses in greater amberjack to the hypo-and hyper-salinity stress and provided new insights into the regulatory mechanisms of the gill and kidney tissues in cell growth and development, ion transport and osmoregulation, and immunity.</p>
<sec id="s4_1">
<label>4.1</label>
<title>Cell growth and development</title>
<p>Insulin-like growth factors (IGFs) signal functions in regulating the cell cycle and cellular repair is essential for surviving salinity stress (<xref ref-type="bibr" rid="B22">Evans and K&#xfc;ltz, 2020</xref>). It also plays a key role in cortisol-mediated cell differentiation into mitochondria-rich cells (MRCs) (<xref ref-type="bibr" rid="B30">Gonzalez, 2012</xref>). In half-smooth tongue sole, gill <italic>igfbp5</italic> (insulin-like growth factors binding protein 5) and <italic>igfbp2</italic> were significantly up-regulated under the high and low salinity, responsible for the up-regulation of <italic>igf1</italic> expression and regulation of cell growth and proliferation (<xref ref-type="bibr" rid="B91">Zhao et&#xa0;al., 2022</xref>). Meanwhile, MRCs were enriched in gills under the high salinity stress. The boosting MRCs would make an important contribution to the osmotic adjustment in teleost fishes upon the increased ambient salinity (<xref ref-type="bibr" rid="B83">Varsamos et&#xa0;al., 2005</xref>) by multiple ion channels anchored on the surface. In goby fish (<italic>Gillichthys mirabilis</italic>), gill <italic>igfbp1</italic> mRNA expression is increased in response to the hyper-osmotically (<xref ref-type="bibr" rid="B23">Evans and Somero, 2008</xref>). In this study, when exposed to a higher salinity condition (40 ppt), the mRNA abundance of <italic>igfbp2</italic> and <italic>ifgbp5</italic> showed no change in gills, while <italic>ifgbp5</italic> and <italic>igfbp6</italic> expression levels were substantially up-regulated in the kidneys. The enhanced expression of Igfbps facilitates cell growth, proliferation, and migration, and increases cellular tolerance to rising ambient salinity (<xref ref-type="bibr" rid="B80">Tipsmark et&#xa0;al., 2007</xref>; <xref ref-type="bibr" rid="B74">Seale et&#xa0;al., 2020</xref>). In this study, the growth-related processes, cartilage development, skeletal system development and extracellular matrix organization in greater amberjack gills were activated in response to salinity alterations. The cartilage and skeletal development were induced in the gills of greater amberjack by hypo- or hyper-salinity stimuli. The enhanced development of the gill skeletal system may play a key role in maintaining gill structures and improving respiration and osmoregulation under salinity stress, similar to the associations between gill development and the tolerance capacity to hyper-salinity in Persian sturgeon (<italic>Acipenser persicus</italic>) (<xref ref-type="bibr" rid="B77">Shirangi et&#xa0;al., 2016</xref>).</p>
<p>In the kidneys, pronephros development was induced by lower salinity (10 ppt) compared to the optimum growth condition (30 ppt). Pronephros, which is also known as the primordial kidneys, mainly functions in ultrafiltration and urine production before being taken over by the definitive kidneys, and plays a crucial role in osmoregulation throughout the early development stages of fishes (<xref ref-type="bibr" rid="B83">Varsamos et&#xa0;al., 2005</xref>). In addition, the expression level of <italic>cep70</italic> (centrosomal protein 70) mRNA was significantly increased in response to salinity reduction. Cep70 is involved in cilia assembly and essential for kidney development and homeostasis (<xref ref-type="bibr" rid="B76">Shi et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B58">Marra et&#xa0;al., 2016</xref>). The expression of <italic>ccn2</italic> (cellular communication network factor 2) mRNA was significantly up-regulated in response to the increased salinity. It also known as the connective tissue growth factor that mediates the proliferation and adhesion of vascular endothelial cells. Thus, its enhancement can encourage the growth of blood vessels and reduce tissue damage caused by salinity (<xref ref-type="bibr" rid="B67">Pan et&#xa0;al., 2019</xref>). The expression level of <italic>mfap2</italic> (microfibril-associated protein 2), a gene associated with blood vessel development, was overexpressed in both gills and kidneys under hypo-salinity stress, indicative of a similar regulatory route for the growth of blood vessels in both tissues. These results indicate that the undesired salinity impacts on the normal kidneys development for adaption to the salinity stress.</p>
</sec>
<sec id="s4_2">
<label>4.2</label>
<title>Ion transport and osmoregulation</title>    <p>Ion transport is important for osmoregulation, which plays a critical role in the adaptive response to changes in external salinity (<xref ref-type="bibr" rid="B18">Deane and Woo, 2006</xref>; <xref ref-type="bibr" rid="B81">Tomy et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B44">Knowles et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B84">Vij et&#xa0;al., 2020</xref>). Gills are the main osmotic organs, which face directly to the external aqueous environment, responsible for maintaining the ion-osmotic balance of fish (<xref ref-type="bibr" rid="B1">Alkan and O&#x11f;uz, 2021</xref>; <xref ref-type="bibr" rid="B90">Zhang et&#xa0;al., 2021</xref>). In teleosts, Nkcc1 (Na-K-Cl cotransporter-1, encoded by the gene <italic>slc12a2</italic>), Nka (Na<sup>+</sup>/K<sup>+</sup>-ATPase), and Cftr (cystic fibrosis transmembrane conductance regulator) are the major ion transport proteins participated in ion secretion and osmoregulation in gills. Nkcc1 is crucial for inward movements of Na<sup>+</sup>, K<sup>+</sup>, and transcellular secretion of Cl<sup>&#x2212;</sup> in teleosts (<xref ref-type="bibr" rid="B79">Takvam et&#xa0;al., 2021</xref>). Nka is used for the active uptake of K<sup>+</sup> and extrusion of Na<sup>+</sup> in cells through protein conformational changes fueled by ATP (<xref ref-type="bibr" rid="B63">Mobasheri et&#xa0;al., 2000</xref>; <xref ref-type="bibr" rid="B70">Pierre and Blanco, 2021</xref>). Cftr contributes to the across-membrane conduction of Cl<sup>-</sup> efflux from the epithelial cell (<xref ref-type="bibr" rid="B62">McCormick et&#xa0;al., 2013</xref>). In our study, gill <italic>slc12a2</italic>/<italic>nkcc1</italic> and <italic>cftr</italic> mRNA expression levels were significantly down-regulated under the hypo-salinity stress at 10 ppt, while these levels were substantially activated in response to the elevated salinity from 30 to 40 ppt at 72 hours in great amberjack, except for the <italic>nka</italic> gene. The above results suggested that the lower gill permeability to reduce the Na<sup>+</sup>, K<sup>+</sup> movement and Cl<sup>-</sup> ion secretion was induced by hypo-osmotic exposure, while ion excretion upon hyper-salinity stress was boosted and a comparatively steady blood osmolality was maintained (<xref ref-type="bibr" rid="B11">Cao et&#xa0;al., 2022</xref>), through Nkcc1 and Cftr ion transport proteins in great amberjack, coincided with Mozambique tilapia gill ion regulation mechanism (<xref ref-type="bibr" rid="B36">Hiroi et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B35">Hiroi and McCormick, 2012</xref>). In half-smooth tongue sole, gill <italic>cftr</italic> expression was significantly down-regulated under low salinity but up-regulated under high salinity for 10 days. Gill <italic>nkcc</italic> and <italic>nkain</italic> (Na<sup>+</sup>/K<sup>+</sup> transporting ATPase interacting) mRNA expression showed no significant changes. The results indicate that Cftr is the major ion transporter protein for regulating Cl<sup>&#x2212;</sup>, Na<sup>+</sup>, and K<sup>+</sup> ions transport and osmolality balance under the hypo- and hyper-salinity stress (<xref ref-type="bibr" rid="B91">Zhao et&#xa0;al., 2022</xref>). Similarly, in freshwater climbing perch (<italic>Anabas testudineus</italic>), the expression of gill <italic>cftr</italic> mRNA was up-regulated after exposure to seawater for 6 days (<xref ref-type="bibr" rid="B14">Chen et&#xa0;al., 2018</xref>). In European seabass (<italic>Dicentrarchus labrax</italic>), gill <italic>cftr</italic> and <italic>nkcc1</italic> mRNA expression levels were decreased, while <italic>nka</italic> mRNA expression level was increased within 4 days post-acute transfer from seawater to freshwater (<xref ref-type="bibr" rid="B59">Maugars et&#xa0;al., 2018</xref>), suggesting that Cftr and Nkcc1 were mainly responsible for preventing the ions loses and osmolality out-of-balance under the low-salinity condition. Taken together, gills play a dominant role in osmotic and ionic regulation, but the molecular mechanism was divergent to some degree in different fish species.</p>
<p>Fish kidneys function as the main osmoregulatory organ in integrating ion and water transport to maintain internal homeostasis in osmotic environments. The renal transporters include Nka enzymes, monovalent ion transporters, water transport proteins, and divalent ion transporters. Na<sup>+</sup>/Cl<sup>&#x2013;</sup> co-transporter (Ncc, encoded by the gene <italic>slc12a3</italic>), is a monovalent ion-absorptive co-transporter, expressed in the kidneys, especially in the mammalian distal convoluted tubule and teleost fish distal nephrons (<xref ref-type="bibr" rid="B28">Gamba, 2005</xref>; <xref ref-type="bibr" rid="B36">Hiroi et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B37">Hsu et&#xa0;al., 2014</xref>). Ncc is essential in producing hypotonic urine in teleost fishes when grown in a hypoosmotic external environment (<xref ref-type="bibr" rid="B79">Takvam et&#xa0;al., 2021</xref>). In bull shark (<italic>Carcharhinus leucas</italic>), kidney <italic>ncc</italic> mRNA expression in freshwater sharks is higher than in seawater sharks, contributing to NaCl reabsorption from the urine and tolerance to the freshwater environment (<xref ref-type="bibr" rid="B38">Imaseki et&#xa0;al., 2019</xref>). In pufferfish (<italic>Tetradon nigroviridis</italic>) and European eel (<italic>Anguilla anguilla</italic>), <italic>ncc</italic> mRNA expression levels and apical location of the Ncc protein in the kidneys were significantly decreased following acclimation to seawater, which demonstrated the essential roles of Ncc in production of hypotonic urine and reabsorbed salts, responded to the freshwater environment (<xref ref-type="bibr" rid="B17">Cutler and Cramb, 2008</xref>; <xref ref-type="bibr" rid="B42">Kato et&#xa0;al., 2011</xref>). However, in this study, the gene expression level of <italic>slc12a3</italic>/<italic>ncc</italic> was significantly down-regulated in the kidneys under the hypo-salinity condition at 10 ppt in great amberjack. We speculated whether some other factors in kidneys were compensable for regulating the water and salt balance under the decreased salinity. Oct2 (organic cation transporter 2, encoded by the gene <italic>slc22a2</italic>) mediates in the initiation of the renal secretion of organic cations. In great amberjack, <italic>slc22a2</italic> was overexpressed at 40 ppt, suggesting an induced secretion of organic cations might be response to the hyper-osmoregulation, to combat the osmotic influx of salts following the drink of seawater upon high salinity stress. When grown in 40 ppt saline, the increased external salinity largely induced the ammonium transmembrane transport gene <italic>rhd</italic> (Rh blood group, D antigen) and <italic>rhag</italic> (Rhesus-associated glycoprotein) expression in the kidneys. The up-regulated ammonium transport may mirror an elevated amount of produced ammonia (<xref ref-type="bibr" rid="B86">Wood and Nawata, 2011</xref>; <xref ref-type="bibr" rid="B10">Bucking, 2017</xref>). It is further supported by the overexpression of the genes encoding solute transport proteins (<italic>slc4a3</italic>, <italic>slc4a5</italic>, <italic>slc24a2</italic>, and <italic>slc22a2</italic>) under the treatment of 40 ppt saline, which may promote the transmembrane transport of amino acids and other substances. The metabolism of amino acids is specifically enhanced in the kidneys to provide more energy for coping with hyper-salinity stress and function as osmolytes for cell volume regulation (<xref ref-type="bibr" rid="B3">Arag&#xe3;o et&#xa0;al., 2010</xref>). Previous studies have demonstrated that amino acid levels are positively correlated with salinity (<xref ref-type="bibr" rid="B3">Arag&#xe3;o et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B16">Cheng et&#xa0;al., 2022</xref>). Together, our findings offer a molecular insight into the osmoregulatory mechanisms of greater amberjack kidneys against the adverse impacts of ambient salinity alterations.</p>
<p>Major osmotic organs, including gills and kidneys, play critical roles in regulating ion and water transport to maintain internal homeostasis and adapt to the external environment salinity changes. The molecular mechanisms in the gills and kidneys were interconnecting and distinguishing from each other, demonstrated by the expression pattern of the same transporters in different tissues or the different functional transporters, response to the hyper- and hypo-salinity stress.</p>
</sec>
<sec id="s4_3">
<label>4.3</label>
<title>Immune response</title>
<p>In the current study, we also found that changes in external salinity would down-regulated the immune function in both the gills and kidneys of greater amberjack juveniles, which is consistent with the previous observations in other marine fishes, spotted scat (<italic>Scatophagus argus</italic>) (<xref ref-type="bibr" rid="B92">Zhong et&#xa0;al., 2021</xref>) and striped eel catfish (<italic>Plotosus lineatus</italic>) (<xref ref-type="bibr" rid="B34">Hieu et&#xa0;al., 2021</xref>). In particular, in the kidneys, the genes involved in immunological responses and blood coagulation were substantially suppressed by hypo- and hyper-salinity stress. In particular, the expression of <italic>mhc1</italic> (the major histocompatibility complex (MHC) class I) mRNA, which mainly mediates antigen presentation, was suppressed in the kidneys under 10 or 40 ppt condition at 72&#xa0;h, suggesting the down-regulated recognition of intracellular pathogen infection and activation of the downstream immune cascade under hypo- and hyper-salinity stress (<xref ref-type="bibr" rid="B40">Jiang et&#xa0;al., 2015</xref>). It was different from the observation of Nile tilapia (<xref ref-type="bibr" rid="B20">El-Leithy et&#xa0;al., 2019</xref>). High immune-related genes expression levels have indicated the fish is vulnerable to infect agents owing to the immune suppression under hyper-salinity stress (<xref ref-type="bibr" rid="B9">Bowden, 2008</xref>). Moreover, the expression levels of genes within or around the complement system, such as those encoding complement component 3 (<italic>c3</italic>) and vitronectin b (<italic>vtnb</italic>), were also significantly inhibited in greater amberjack by either decreased or increased ambient salinity at 72&#xa0;h, indicating the repression of the inflammatory response, impede pathogen clearance, and disrupt cellular homeostasis (<xref ref-type="bibr" rid="B54">Liu et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B85">Wang et&#xa0;al., 2019</xref>). In puffer (<italic>Takifugu fasciatus</italic>), the expression of <italic>c3</italic> in the gills and kidneys is negatively correlated with salinity (<xref ref-type="bibr" rid="B85">Wang et&#xa0;al., 2019</xref>). In this study, the mRNA expression of several genes participating in blood coagulation, such as coagulation factor II (<italic>f2</italic>) and hemopexin (<italic>hpx</italic>), were depressed in the greater amberjack when exposed to hyper-salinity stress, which is consistent with the observation in Nile tilapia (<xref ref-type="bibr" rid="B87">Xu et&#xa0;al., 2018</xref>). Because of the direct crosstalk between the coagulation and the immune system, the activation of blood coagulation positively contributes to pathogen clearance during infections (<xref ref-type="bibr" rid="B2">Antoniak, 2018</xref>). The gene expression of <italic>zap70</italic>, encoding an enzyme belonging to the protein tyrosine kinase family, was down-regulated in the kidneys of greater amberjack under the hypo-salinity situation. Similarly, in marbled eel (<italic>Anguilla marmorata</italic>), gill <italic>zap70</italic> expression was decreased following the salinity (<xref ref-type="bibr" rid="B13">Chan et&#xa0;al., 1992</xref>; <xref ref-type="bibr" rid="B12">Cao et&#xa0;al., 2021</xref>). The repression of Zap60 perhaps leads to a disruption in T cell development and lymphocyte activation (<xref ref-type="bibr" rid="B13">Chan et&#xa0;al., 1992</xref>; <xref ref-type="bibr" rid="B12">Cao et&#xa0;al., 2021</xref>). It is worth noting that the gene <italic>fabp4</italic> expression (fatty acid-binding protein-4) was induced in the gills of greater amberjack when exposed to 10 or 40 ppt saline. In fish, Fabp4 can bind to the marine environmental toxins perfluoroalkyl acids (PFAAs), trigger the undesirable uptake and accumulation (<xref ref-type="bibr" rid="B50">Lei et&#xa0;al., 2022</xref>), which has been demonstrated to suppress lysozyme activity in marine organisms, then interrupt their resistance to bacterial infection (<xref ref-type="bibr" rid="B7">Betts, 2007</xref>). Furthermore, PFAA can easily enter human bodies <italic>via</italic> the food chain and disturb human hormonal signaling, which poses potential risks to food safety and public health (<xref ref-type="bibr" rid="B7">Betts, 2007</xref>; <xref ref-type="bibr" rid="B61">McComb et&#xa0;al., 2020</xref>), which highlights the importance of a well-controlled rearing condition during the aquaculture to ensure the food safety of greater amberjack. The immune related genes in teleost gills or/and kidneys were influenced by the environmental salinity, which may impact the immune function, increase the risk of pathogen infection, and reduce the fresh security and yield of greater amberjack. These results help understand the mechanisms of the adaptive immunology response to the environmental salinity stress.</p>
</sec>
</sec>
<sec id="s5" sec-type="conclusion">
<label>5</label>
<title>Conclusion</title>
<p>In this study, we performed comparative transcriptome analysis for gills and kidneys in greater amberjack between the optimum salinity (30 ppt) and undesired regimes (10 and 40 ppt). In gills, The identified DEGs were involved in cartilage and skeletal development, ions transport, and immune response. The down-regulation of <italic>slc12a2/nkcc1</italic> and <italic>cftr</italic> expression levels in response the reduced Na<sup>+</sup>, K<sup>+</sup> movement, and Cl<sup>-</sup> ion secretion under the hypo-osmotic exposure and ion excretion boost upon hyper-salinity stress. Meanwhile, the cartilage and skeletal development were enhanced in the gills by hypo- or hyper-salinity stimuli, which is critical for maintaining gill structures and improving respiration and osmoregulation under salinity stress. In kidneys, the DEGs were enriched in oxygen transport, pronephros development, regulation of growth, blood coagulation, ion transmembrane transport, and immune response. The expression levels of <italic>slc22a2</italic>, <italic>rhd</italic> and <italic>rhag</italic> mRNA was overexpressed under the hyper-salinity condition at 40 ppt, mainly contributing to the salt secretion and ammonium transport regulation, to combat the osmotic influx of salts following the drink of seawater and elevated ammonia production upon high salinity stress. These novel findings advance our knowledge of adaptative mechanisms to salinity stress and provide theoretical guidance for the optimal breeding mode for the aquaculture of greater amberjack.</p>
</sec>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found below: <ext-link ext-link-type="uri" xlink:href="https://www.ncbi.nlm.nih.gov/search/all/?term=GSE220485">https://www.ncbi.nlm.nih.gov/search/all/?term=GSE220485</ext-link>.</p>
</sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The animal study was reviewed and approved by the Animal Research and Ethics Committee of Guangdong Ocean University (NIH Pub. No. 85-23, revised 1996).</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>Conceptualization: YL, HS and GL. Methodology: YP, RQ and YL. Data processing and figure preparation: YL, YP, HS and YY. Funding acquisition: GL. Experimental fish culture: YH and CZ. Writing-original draft: YL, HS, DJ and YY. Writing-review and editing: YL, HS, YY and DJ. All authors contributed to the article and approved the submitted version.</p>
</sec>
</body>
<back>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>This research was financed by grants from the National Natural Science Foundation of China (32002367 and 32201420), the Natural Science Foundation of Guangdong Province (2023A1515010890), the Fund of Southern Marine Science and Engineering Guangdong Laboratory (Zhanjiang) (ZJW-2019-06), Key Project of &#x2018;Blue Granary Science and Technology Innovation&#x201d; of the Ministry of Science and Technology (2018YFD0901203). The Provincial College Students Innovation and Entrepreneurship Training Program (S202110566008).</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>We thank the Guangdong Research Center on Reproductive Control and Breeding Technology of Indigenous Valuable Fish Species, Fisheries College, Guangdong Ocean University, State Key Laboratory of Biocontrol, School of Ecology, Sun Yat-sen University for the technical support. We also thank Southern Marine Science and Engineering Guangdong Laboratory-Zhanjiang, for the experimental animals breeding.</p>
</ack>
<sec id="s10" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s11" 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="s12" 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.2023.1185015/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fmars.2023.1185015/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet_1.pdf" id="SM1" mimetype="application/pdf"/>
</sec>
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