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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Mar. Sci.</journal-id>
<journal-title>Frontiers in Marine Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Mar. Sci.</abbrev-journal-title>
<issn pub-type="epub">2296-7745</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmars.2024.1404183</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>The identification of toll-like receptor genes in large yellow croaker (<italic>Larimichthys crocea</italic>): provides insights into its environmental adaptation to biological and abiotic stresses</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Yao</surname>
<given-names>Ting-Yan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2694022"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Miao</surname>
<given-names>Qing-Tao</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Sun</surname>
<given-names>Xuan-Yang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Rui</surname>
<given-names>Chen</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Xie</surname>
<given-names>Qing-Ping</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="author-notes" rid="fn001">
<sup>*</sup>
</xref>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Wang</surname>
<given-names>Xu-Bo</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1913353"/>
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</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Key Laboratory of Aquacultural Biotechnology, Ministry of Education, Ningbo University</institution>, <addr-line>Ningbo, Zhejiang</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Institute of Hydrobiology, Zhejiang Academy of Agricultural Sciences</institution>, <addr-line>Hangzhou</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>National Engineering Research Laboratory of Marine Biotechnology and Engineering, Ningbo University</institution>, <addr-line>Ningbo, Zhejiang</addr-line>, <country>China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Collaborative Innovation Center for Zhejiang Marine High-efficiency and Healthy Aquaculture, Ningbo University</institution>, <addr-line>Ningbo, Zhejiang</addr-line>, <country>China</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Key Laboratory of Green Mariculture (Co-construction by Ministry and Province), Ministry of Agriculture and Rural, Ningbo University</institution>, <addr-line>Ningbo, Zhejiang</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Yinnan Mu, Fujian Agriculture and Forestry University, China</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Liang Guo, Hunan Normal University, China</p>
<p>Yun Wang, Chinese Academy of Fishery Sciences (CAFS), China</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Xu-Bo Wang, <email xlink:href="mailto:wangxubo@nbu.edu.cn">wangxubo@nbu.edu.cn</email>; Qing-Ping Xie, <email xlink:href="mailto:xieqp@zaas.ac.cn">xieqp@zaas.ac.cn</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>20</day>
<month>06</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>11</volume>
<elocation-id>1404183</elocation-id>
<history>
<date date-type="received">
<day>20</day>
<month>03</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>06</day>
<month>06</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Yao, Miao, Sun, Rui, Xie and Wang</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Yao, Miao, Sun, Rui, Xie and Wang</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>Large yellow croaker (<italic>Larimichthys crocea</italic>), the most developing fish of China, suffering from both biotic and abiotic stressors. A genome-wide study was performed for the first time to investigate the roles of Toll-like receptor genes in large yellow croaker (<italic>LcTLRs</italic>) working in hypoxia response and <italic>Aeromonas hydrophila</italic> infection. 12 <italic>TLR</italic> genes were identified and annotated, and phylogenetic tree, analysis of structure and motifs demonstrated that <italic>TLRs</italic> were highly conserved. To further investigate the <italic>LcTLRs</italic> under environmental stress, expression pattern analysis of hypoxic response and <italic>Aeromonas hydrophila</italic> infection revealed that there were nine and six members of <italic>LcTLRs</italic> showing significant differential expression, indicating that they were concerned in hypoxia stress and disease responses. Meanwhile, their expression levels were validated utilizing qPCR. Taken together, a greater appreciation and understanding of <italic>TLRs</italic> function in the reaction to biotic and abiotic stress would ultimately lead to more efficiently environmental adaptation in large yellow croaker.</p>
</abstract>
<kwd-group>
<kwd>large yellow croaker</kwd>
<kwd>toll-like receptors genes</kwd>
<kwd>stress response</kwd>
<kwd>environmental adaptation</kwd>
<kwd>innate immune</kwd>
</kwd-group>
<counts>
<fig-count count="5"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="64"/>
<page-count count="11"/>
<word-count count="5007"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Marine Biology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Large yellow croaker (<italic>Larimichthys crocea</italic>), the native species of East Asia, has the highest aquaculture yield among marine fish in China (257,683 tons in 2022) (<xref ref-type="bibr" rid="B32">MOA, 2023</xref>). However, the intensive net-cage inshore cultivation model, the degrading farming environment, outbreaks of various abiotic and biotic stressors like hypoxia and <italic>Aeromonas hydrophila</italic> infection, and other factors, had caused significant economic losses to the aquaculture industry (<xref ref-type="bibr" rid="B9">Ding et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B62">Zhang et&#xa0;al., 2022</xref>). Many previous studies had confirmed that Toll-like receptor genes played a vital role in innate immunity (<xref ref-type="bibr" rid="B36">Ni et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B58">Yao et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B15">Gao et&#xa0;al., 2024</xref>), however, research on their role in environmental adaptability was still in its early stages. Therefore, the research of biotic and abiotic environmental factors was on the front-page of <italic>L.crocea</italic>&#x2019;s survival. This experiment would lay a foundation for the specific role of Toll-like receptor genes in the host environmental adaptation to resistance to hypoxic response and <italic>Aeromonas hydrophila</italic> infection.</p>
<p>Dissolved oxygen (DO), or molecular oxygen dissolved in water, is the primary source of oxygen for a variety of aquatic organisms. As <italic>L. crocea</italic> cultures grow and their densities rise, the culture environment degrades and the water exchange capacity eventually drops, leaving large areas with low DO levels. Marine ecosystems are more vulnerable to hypoxic stress than terrestrial environments are (<xref ref-type="bibr" rid="B24">Lee et&#xa0;al., 2024</xref>). Low dissolved oxygen levels have a negative impact on fish physiological and biochemical processes, including apoptosis (<xref ref-type="bibr" rid="B27">Liu et&#xa0;al., 2022b</xref>), energy metabolism (<xref ref-type="bibr" rid="B20">Jaworski et&#xa0;al., 2019</xref>), and other processes, which can result in a variety of illnesses and injuries (<xref ref-type="bibr" rid="B45">Shun et&#xa0;al., 2024</xref>). Reactive oxygen species (ROS) are produced by the organism from part of the oxygen taken up by fish respiration. A tiny percentage of ROS control gene expression and cell activity through their involvement in cell signaling pathways (<xref ref-type="bibr" rid="B44">Shi et&#xa0;al., 2024</xref>). According to <xref ref-type="bibr" rid="B1">Abdel-Tawwab et&#xa0;al. (2019)</xref>, fish that experience oxidative stress due to excessive ROS production during hypoxia eventually undergo apoptosis and sustain tissue damage. Aquatic species&#x2019; growth, survival, behavior, immunity, and reproduction are all significantly impacted by such hypoxic environments. According to <xref ref-type="bibr" rid="B8">Ding et&#xa0;al. (2020)</xref>, hypoxia in <italic>L.crocea</italic> causes a rise in mortality and is now the primary barrier to the growth of its sustainable mariculture. On the other hand, the breeding of <italic>L.crocea</italic> was threatened by bacterial diseases (<xref ref-type="bibr" rid="B34">Mu et&#xa0;al., 2018</xref>). Previous studies had shown that the diseased <italic>L. crocea</italic> had suffered a variety of severe illness symptoms after Gram-negative bacteria <italic>A. hydrophila</italic> infection (<xref ref-type="bibr" rid="B6">Chen et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B33">Mu et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B62">Zhang et&#xa0;al., 2022</xref>), as well as the verification of <italic>TLRs</italic> differential expression following an <italic>A. hydrophila</italic> challenge in common carp (<xref ref-type="bibr" rid="B16">Gong et&#xa0;al., 2017</xref>). Therefore, in order to allow large yellow croak culture population, exploit a better ecological opportunity under the stress of environmental factors such as hypoxia and <italic>A. hydrophila</italic> infection, researchers were committed to exploring the molecular mechanism of resistance regulation of <italic>TLR</italic> genes.</p>
<p>To date, studies have shown that TLRs bear the responsibility of playing important roles in innate immunity in organisms (<xref ref-type="bibr" rid="B48">Verma et&#xa0;al., 2024</xref>). Innate immune cells, such as dendritic cells (DCs), are activated when the immune system detects microorganisms through a variety of receptors known as pattern recognition receptors (PRRs), which are encoded by germ-line genes and recognize a wide range of microbial structures (<xref ref-type="bibr" rid="B51">Wang et&#xa0;al., 2024</xref>). Up to now, many PRRs have been found, including C-type lectin receptors, scavenger receptors (SR), intracellular receptors, lipopolysaccharides (LPS) and <italic>&#x3b2;</italic>-1, toll-like receptors (TLRs), and Down syndrome cell adhesion molecules (Dscam) (<xref ref-type="bibr" rid="B47">Tran et&#xa0;al., 2019</xref>). Among these PRRs, the role of TLRs in innate immune responses during evolution is thought to be highly conserved, usually acting as transmembrane receptors that recognized different microbial components and directly activated immune cells. Exposure of immune cells to the ligands of receptors can activate intracellular signaling cascades, and then rapidly induce the expression of a variety of overlapping and unique genes involved in inflammation and immune responses. After pathogen infection, pathogen-associated molecular patterns (PAMPs) are recognized, myeloid differentiation factor 88 (MyD88) and adaptors containing TIR domains are recruited by TLRs to induce interferon-beta (IFN-<italic>&#x3b2;</italic>) level (<xref ref-type="bibr" rid="B7">Dias et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B42">Ryan and O&#x2019;Neill, 2023</xref>), thereby leading to the activation of protein 1 (AP-1) transcription factor and nuclear factor kappa-B (NF-&#x3ba;B) (<xref ref-type="bibr" rid="B52">Wang et&#xa0;al., 2017</xref>). This induces the production of pro-inflammatory cytokines, such as TNF-&#x3b1; and IL1b, to activate innate and adaptive immune responses (<xref ref-type="bibr" rid="B49">Vidya et&#xa0;al., 2018</xref>). Structurally, TLR consists of several domains, including N-terminal signaling domains, multiple extracellular leucine-rich repeat (LRRs) domains, transmembrane domains, and intracellular Toll/interleukin-1 receptor (TIR). The TIR domain functions as a protein scaffold, attracting downstream molecules and initiating signaling cascades that activate the expression of target genes, such as antimicrobial peptides, while the extracellular LRR domain recognizes the PAMP ligands of pathogenic microorganisms.</p>
<p>TLRs are a family of germline-encoded PRRs conserved in function. They are essential for recognizing PAMPs like flagellin, lipoprotein, nucleic acid, LPS, and lipoteichoic acid (<xref ref-type="bibr" rid="B47">Tran et&#xa0;al., 2019</xref>). For instance, bacterial flagellin stimulates TLR5, while double-stranded RNA (dsRNA) can activate TLR3 (<xref ref-type="bibr" rid="B2">Adams et&#xa0;al., 2024</xref>). Similar in location, structure, and function, TLR7 and TLR8 are recognized to detect single-stranded RNA (ssRNA) from viruses (<xref ref-type="bibr" rid="B50">Wallach et&#xa0;al., 2023</xref>). Furthermore, it has been discovered that TLR9 and TLR21 can both identify CpG DNA in fish and that they react preferentially to CpG DNA with distinct CpG (<xref ref-type="bibr" rid="B59">Yeh et&#xa0;al., 2013</xref>). Following ligand identification, TLR uses the Toll/Interleukin-1 receptor (TIR) domain and TIR-containing cohesive molecules, such Myd88 and other TIR-domain-containing convergent proteins, to initiate downstream signaling cascades and an immunological response (<xref ref-type="bibr" rid="B43">Sahoo et&#xa0;al., 2012</xref>). Activation of the TLR signaling pathway triggers the production of co-stimulatory molecules and inflammatory cytokines, which effectively trigger the host&#x2019;s antiviral or antimicrobial immune responses (<xref ref-type="bibr" rid="B26">Li et&#xa0;al., 2022</xref>).</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>Identification of TLR genes in large yellow croaker</title>
<p>In order to carry out a thorough identification of the TLR family members in <italic>L. crocea</italic>, all TLR sequences of nine teleosts, including channel catfish (<italic>Ictalurus punctatus</italic>), fugu (<italic>Takifugu rubripes</italic>), grass carp (<italic>Ctenopharyngodon idella</italic>), Japanese flounder (<italic>Paralichthys olivaceus</italic>), medaka (<italic>Oryzias latipes</italic>), Nile tilapia (<italic>Oreochromis niloticus</italic>), rainbow trout (<italic>Oncorhynchus mykiss</italic>), spotted gar (<italic>Lepisosteus oculatus</italic>), spotted sea bass (<italic>Lateolabrax maculatus</italic>) and zebrafish (<italic>Danio rerio</italic>) were downloaded from NCBI (<ext-link ext-link-type="uri" xlink:href="http://www.ncbi.nlm.nih.gov">http://www.ncbi.nlm.nih.gov</ext-link>) and Ensembl (<ext-link ext-link-type="uri" xlink:href="http://www.ensembl.org">http://www.ensembl.org</ext-link>) databases (<xref ref-type="bibr" rid="B56">Yan et&#xa0;al., 2021</xref>). The non-redundant TLRs full-length coding sequences were utilized as queries to search against <italic>L. crocea</italic> genomic resources by TBLASTN and BLASTP, with an e-value threshold of e-value &lt; e<sup>&#x2212;10</sup> to acquire the candidates, after the redundant and incomplete sequences were manually removed (<xref ref-type="bibr" rid="B12">El-Gebali et&#xa0;al., 2019</xref>). The conserved TLR domain was then confirmed and verified by submitting the putative TLR sequences to the Pfam and SMART databases (<xref ref-type="bibr" rid="B25">Letunic and Bork, 2018</xref>). The ExPASy ProtParam tool (<ext-link ext-link-type="uri" xlink:href="http://web.expasy.org/protparam/">http://web.expasy.org/protparam/</ext-link>) was utilized to assess the molecular weight, theoretical isoelectric point, and amount of amino acids (<xref ref-type="bibr" rid="B10">Duvaud et&#xa0;al., 2021</xref>). Ultimately, every potential TLR gene extracted from the <italic>L. crocea</italic> genome was renamed based on their homology to TLRs found in zebrafish, and then added to the GenBank database.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Phylogenetic tree construction</title>
<p>A phylogenetic tree was created using all of the amino acid sequences of TLR from <italic>L. crocea</italic> and other teleosts. Multiple sequence alignment was performed by ClustalW with default settings (<xref ref-type="bibr" rid="B11">Edgar, 2004</xref>). Using the JTT (Jones-Taylor-Thornton) matrix-based model, phylogenetic analysis was carried out through the MEGA 7 program and the Maximum Likelihood approach (<xref ref-type="bibr" rid="B23">Kumar et&#xa0;al., 2016</xref>). The Evolview website (<ext-link ext-link-type="uri" xlink:href="https://evolgenius.info//evolview">https://evolgenius.info//evolview</ext-link>) was then used to show the phylogenetic tree (<xref ref-type="bibr" rid="B60">Zhang et&#xa0;al., 2012</xref>).</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Exon/intron organization and study of conserved motifs</title>
<p>Using the Gene Structure Display Server (GSDS, <ext-link ext-link-type="uri" xlink:href="http://gsds.cbi.pku.edu.cn">http://gsds.cbi.pku.edu.cn</ext-link>) online analysis tool, the exon/intron structures were visualized by aligning the coding sequences with the corresponding genomic DNA sequences. To display the gene structure of <italic>L. crocea</italic>, including the length and position of the introns and exons, the gff file was uploaded to the GSDS program (GenBank No. GCA_000972845.2). The conserved protein motif was analyzed using the MEME website (<ext-link ext-link-type="uri" xlink:href="http://meme-suite.org/tools/meme">http://meme-suite.org/tools/meme</ext-link>), with the motif number set to 10 and the other parameters left at default (<xref ref-type="bibr" rid="B3">Bailey et&#xa0;al., 2009</xref>). The TBtools program was then used to create the phylogenetic tree, conserved motifs, and gene structure (<xref ref-type="bibr" rid="B5">Chen et&#xa0;al., 2020</xref>).</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Hypoxia stress</title>
<p>A total of 300 healthy <italic>L. crocea</italic> were obtained and maintained in indoor tanks at the same conditions as the culture cages (25&#xb0;C, salinity: 23&#x2013;25, DO concentration: 7.8 &#xb1; 0.5 mg/L). The fish were fed compound feed twice a day, at 6:00 and 17:00, up until twelve hours before the trials began. Following a temporary raising period of 14 days, nitrogen gas was blasted into the tanks to conduct hypoxia-exposure studies. Using a DO meter (YSI, Canada), the appropriate concentration of dissolved oxygen was measured. In the control group, the DO concentration was 7.8 &#xb1; 0.5 mg/L. Over the course of ten minutes, the oxygen concentration in the tank was reduced in the experimental group from 7.8 &#xb1; 0.5 mg/L to 1.6 &#xb1; 0.2 mg/L. For the purpose of extracting RNA from the gills, heart, spleen, and head kidney at 0, 6, 24, and 48 hours following the hypoxic test, six subjects were chosen at random. To create templates for additional transcriptome analysis, equivalent molar ratios of RNA from two subjects were combined into one replicate at each time point, for a total of three repetitions. Raw sequencing read data had been deposited in the Sequence Read Archive (SRA) of NCBI under the BioProject accession numbers PRJNA574876 and PRJNA576086.</p>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Aeromonas hydrophila infection</title>
<p>A total of 300 healthy <italic>L. crocea</italic> were acclimated for 2 weeks, and feeding was stopped one day before the experiment. In a preliminary experiment (DO 7.5&#x2013;8.5 mg/L, 23 &#xb1; 0.5&#xb0;C), the experimental group was injected intraperitoneally into 60 fish, with three experimental replicates per group, at the 24-hour half-lethal dose (LD50) of <italic>A. hydrophila</italic>, which was found to be 8 &#xd7; 10<sup>6</sup> CFU&#xb7;mL<sup>&#x2212;1</sup> (0.5 mL). The control group was injected with 0.5 ml PBS. At 0, 3, 12, and 24 hours, the survival rates of <italic>L. crocea</italic> were 100.0%, 100.0%, 77.5% and 56.0%, respectively. Three individuals from each group were chosen randomly, and the head kidney tissues were taken for RNA sequencing. Fish were put down with 0.05% MS-222 (3-aminobenzoic acid ethyl ester methanesulfonate, Sigma, USA) before to sampling. The NCBI Sequence Read Archive received the raw data and assigned it the accession number PRJNA764439.</p>
</sec>
<sec id="s2_6">
<label>2.6</label>
<title>Validation of qRT-PCR</title>
<p>In order to corroborate the <italic>TLR</italic> gene expression patterns after both hypoxic and <italic>A. hydrophila</italic> infection stressors above, using primers created by Primer Premier 5.0 software for qRT-PCR and reported in <xref ref-type="supplementary-material" rid="ST1">
<bold>Supplementary Table&#xa0;1</bold>
</xref>, we identified genes that were differentially expressed. Utilizing <italic>&#x3b2;-actin</italic> as the internal control, we computed the relative expression level using the 2<sup>-&#x25b3;&#x25b3;CT</sup> technique (n = 3). Tukey&#x2019;s multiple range test and one-way ANOVA were used for the statistical analysis (SPSS, version 22.0).</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>
<italic>TLR</italic> gene identification and annotation</title>
<p>Following the <italic>TLR</italic> gene screening and validation in channel catfish, fugu, grass carp, Japanese flounder, medaka, Nile tilapia, rainbow trout, spotted gar, spotted sea bass and zebrafish, 12 <italic>TLR</italic> genes in <italic>L. crocea</italic> (<italic>LcTLRs</italic>) were identified. <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref> displayed the <italic>TLR</italic> gene copy counts for eleven different teleost species. The probable molecular weights of the proteins ranged from 50,904 kDa (<italic>LcTLR2b</italic>) to 121,457 kDa (<italic>LcTLR9</italic>), and their theoretical isoelectric points (pI) varied from 5.98 (<italic>LcTLR2b</italic>) to 8.94 (<italic>LcTLR5</italic>). The proteins&#x2019; lengths varied from 439 (<italic>LcTLR2b</italic>) to 1056 (<italic>LcTLR9</italic>) amino acids. <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref> provided specific information on 12 <italic>LcTLRs</italic>.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>The <italic>TLR</italic> gene copy numbers in representative species.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Gene<break/>/species</th>
<th valign="middle" align="left">
<italic>C. idella</italic>
</th>
<th valign="middle" align="left">
<italic>D. rerio</italic>
</th>
<th valign="middle" align="left">
<italic>I. punctatus</italic>
</th>
<th valign="middle" align="left">
<italic>L. maculatus</italic>
</th>
<th valign="middle" align="left">
<italic>L. oculatus</italic>
</th>
<th valign="middle" align="left">
<italic>O. latipes</italic>
</th>
<th valign="middle" align="left">
<italic>O. mykiss</italic>
</th>
<th valign="middle" align="left">
<italic>O. niloticus</italic>
</th>
<th valign="middle" align="left">
<italic>T. rubripes</italic>
</th>
<th valign="middle" align="left">
<italic>P. olivaceus</italic>
</th>
<th valign="middle" align="left">
<italic>L. crocea</italic>
</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">
<italic>TLR1</italic>
</td>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">1</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>TLR2</italic>
</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">2</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>TLR3</italic>
</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">1</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>TLR4</italic>
</td>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">0</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">0</td>
<td valign="middle" align="left">0</td>
<td valign="middle" align="left">0</td>
<td valign="middle" align="left">0</td>
<td valign="middle" align="left">0</td>
<td valign="middle" align="left">0</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>TLR5</italic>
</td>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">1</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>TLR7</italic>
</td>
<td valign="middle" align="left">0</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">1</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>TLR8</italic>
</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">1</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>TLR9</italic>
</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">1</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>TLR13</italic>
</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">0</td>
<td valign="middle" align="left">0</td>
<td valign="middle" align="left">0</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">0</td>
<td valign="middle" align="left">0</td>
<td valign="middle" align="left">0</td>
<td valign="middle" align="left">0</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>TLR14</italic>
</td>
<td valign="middle" align="left">0</td>
<td valign="middle" align="left">0</td>
<td valign="middle" align="left">0</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">0</td>
<td valign="middle" align="left">0</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">1</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>TLR18</italic>
</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">0</td>
<td valign="middle" align="left">0</td>
<td valign="middle" align="left">0</td>
<td valign="middle" align="left">0</td>
<td valign="middle" align="left">0</td>
<td valign="middle" align="left">0</td>
<td valign="middle" align="left">0</td>
<td valign="middle" align="left">0</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>TLR19</italic>
</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">0</td>
<td valign="middle" align="left">0</td>
<td valign="middle" align="left">0</td>
<td valign="middle" align="left">0</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">0</td>
<td valign="middle" align="left">0</td>
<td valign="middle" align="left">0</td>
<td valign="middle" align="left">0</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>TLR21</italic>
</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">0</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">0</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">1</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>TLR22</italic>
</td>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">1</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>TLR23</italic>
</td>
<td valign="middle" align="left">0</td>
<td valign="middle" align="left">0</td>
<td valign="middle" align="left">0</td>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">0</td>
<td valign="middle" align="left">0</td>
<td valign="middle" align="left">0</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">0</td>
<td valign="middle" align="left">1</td>
</tr>
<tr>
<td valign="middle" align="left">All</td>
<td valign="middle" align="left">16</td>
<td valign="middle" align="left">15</td>
<td valign="middle" align="left">13</td>
<td valign="middle" align="left">14</td>
<td valign="middle" align="left">13</td>
<td valign="middle" align="left">12</td>
<td valign="middle" align="left">11</td>
<td valign="middle" align="left">10</td>
<td valign="middle" align="left">12</td>
<td valign="middle" align="left">11</td>
<td valign="middle" align="left">12</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>TLR mRNA (complete cds) summary features in the genome of <italic>L. crocea</italic>.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Gene name</th>
<th valign="middle" align="center">NCBI accession number</th>
<th valign="middle" align="center">Number of amino acids</th>
<th valign="middle" align="center">Molecular weight</th>
<th valign="middle" align="center">Theoretical pI</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">
<italic>LcTLR1</italic>
</td>
<td valign="top" align="left">OR669624</td>
<td valign="top" align="left">534</td>
<td valign="top" align="left">61083.55</td>
<td valign="top" align="left">8.53</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>LcTLR2a</italic>
</td>
<td valign="top" align="left">OR669625</td>
<td valign="top" align="left">816</td>
<td valign="top" align="left">93350.30</td>
<td valign="top" align="left">5.98</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>LcTLR2b</italic>
</td>
<td valign="top" align="left">OR669626</td>
<td valign="top" align="left">439</td>
<td valign="top" align="left">50904.72</td>
<td valign="top" align="left">6.83</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>LcTLR3</italic>
</td>
<td valign="top" align="left">OR669627</td>
<td valign="top" align="left">919</td>
<td valign="top" align="left">103369.33</td>
<td valign="top" align="left">8.78</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>LcTLR5</italic>
</td>
<td valign="top" align="left">OR669628</td>
<td valign="top" align="left">641</td>
<td valign="top" align="left">71612.32</td>
<td valign="top" align="left">8.94</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>LcTLR7</italic>
</td>
<td valign="top" align="left">OR669629</td>
<td valign="top" align="left">1053</td>
<td valign="top" align="left">121440.16</td>
<td valign="top" align="left">8.53</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>LcTLR8</italic>
</td>
<td valign="top" align="left">OR669630</td>
<td valign="top" align="left">1030</td>
<td valign="top" align="left">118782.44</td>
<td valign="top" align="left">8.72</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>LcTLR9</italic>
</td>
<td valign="top" align="left">OR669631</td>
<td valign="top" align="left">1056</td>
<td valign="top" align="left">121457.68</td>
<td valign="top" align="left">6.46</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>LcTLR14</italic>
</td>
<td valign="top" align="left">OR669632</td>
<td valign="top" align="left">876</td>
<td valign="top" align="left">100583.29</td>
<td valign="top" align="left">6.53</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>LcTLR21</italic>
</td>
<td valign="top" align="left">OR669633</td>
<td valign="top" align="left">981</td>
<td valign="top" align="left">113751.71</td>
<td valign="top" align="left">8.58</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>LcTLR22</italic>
</td>
<td valign="top" align="left">OR669634</td>
<td valign="top" align="left">967</td>
<td valign="top" align="left">111214.55</td>
<td valign="top" align="left">8.92</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>LcTLR23</italic>
</td>
<td valign="top" align="left">OR669635</td>
<td valign="top" align="left">950</td>
<td valign="top" align="left">108746.23</td>
<td valign="top" align="left">6.20</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Phylogenetic analysis of the <italic>LcTLR</italic> genes</title>
<p>139 full protein sequences from the teleosts mentioned above were used to create a phylogenetic tree and examine the evolutionary relationships between the eleven teleost <italic>TLR</italic> genes. <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref> illustrated the similar genes from these species grouped together, demonstrating the relative conservation of <italic>TLR</italic> genes. <italic>LcTLR3</italic>, <italic>LcTLR5</italic>, <italic>LcTLR21</italic>, <italic>LcTLR22</italic>, and <italic>LcTLR23</italic> were clustered into a branch; <italic>LcTLR1</italic>, <italic>LcTLR2</italic>, and <italic>LcTLR14</italic> were grouped together; <italic>LcTLR7</italic>, <italic>LcTLR8</italic>, and <italic>LcTLR9</italic> were clustered into a branch.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Phylogenetic tree of eleven teleost species&#x2019; <italic>TLR</italic> gene families. A red asterisk was used to identify the <italic>LcTLRs</italic>. The Ip, <italic>Ictalurus punetaus</italic>, Tr, <italic>Takifugu rubripes</italic>; Ci, <italic>Ctenopharyngodon idella</italic>; Po, <italic>Paralichthys olivaceus</italic>; On, <italic>Oreochromis niloticus</italic>; Om, <italic>Oncorhynchus mykiss</italic>; Ol, <italic>Oryzias latipes</italic>; Lo, <italic>Lepisosteus oculatus</italic>; Lm, <italic>Lateolabrax maculatus</italic>; Dr, <italic>Danio rerio</italic> and Lc, <italic>Larimichthys crocea</italic>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-11-1404183-g001.tif"/>
</fig>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>
<italic>LcTLR</italic> gene motif and CDS structure analysis</title>
<p>We examined the CDS structure and conserved motifs of the TLR family to gain a deeper understanding of the structural conservation of the TLR gene family. Ten conserved motifs were predicted from the <italic>TLR</italic>s of <italic>L. crocea</italic>, as <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref> illustrated. The numbers and placements of these motifs were more similar in proteins that were closer in relationship. There were more motifs in <italic>LcTLR7</italic>, <italic>LcTLR8</italic>, and <italic>LcTLR9</italic> than in <italic>LcTLR5</italic>, which has the fewest motifs. Motifs 4, 8, and 9 were present in all 12 <italic>LcTLRs</italic>, and motif 5 was present in most <italic>LcTLRs</italic>. Of all the <italic>LcTLRs</italic>, <italic>LcTLR2a</italic> had the most introns, and <italic>LcTLR14</italic> had the longest length of introns.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>The arrangement of 12 <italic>LcTLRs&#x2019;</italic> conserved motif, gene structure, and evolutionary relationship. The phylogenetic relationships are displayed in the figure on the left. The distribution of conserved motifs is depicted by the middle picture, and each colored rectangular box represents a motif. Rectangular boxes with yellow backgrounds stand for CDSs, whereas green backgrounds stand for UTRs. The scale can be used to infer the length of the exons.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-11-1404183-g002.tif"/>
</fig>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Gene expression profiling of <italic>LcTLRs</italic> under hypoxic stress</title>
<p>Based on RNA-seq data, the expression profile of <italic>LcTLRs</italic> in four hypoxia stress-affected tissues (the gill, heart, kidney and spleen) was examined to learn more about the function of the <italic>LcTLRs</italic> gene in the hypoxic response. Eight <italic>LcTLR</italic> genes were involved in gill (<italic>P</italic>&lt;0.05, |log<sub>2</sub> fold change|&gt;1), as <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref> illustrates. There was a considerable up-regulation of <italic>LcTLR1</italic> at 48 h and a noticeable up-regulation of <italic>LcTLR5</italic> at 24 h. The expression level of <italic>LcTLR2a</italic>, <italic>LcTLR3</italic>, <italic>LcTLR14</italic> and <italic>LcTLR22</italic> showed a decreasing trend at different time points, while <italic>LcTLR9</italic> and <italic>LcTLR21</italic> were increased.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Heatmap of <italic>LcTLRs</italic> expression under hypoxia stress. Every cell in the heatmap represents an expression level that has been log<sub>10</sub> (FPKM+1) normalized. G stands for gill, H for heart, K for kidney and S for spleen. 0 h as control groups, 6 h, 24 h and 48 h represent after infection treatment 6, 24 and 48 hours. There are three biological replications: X-1, X-2, and X-3.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-11-1404183-g003.tif"/>
</fig>
<p>Eight <italic>LcTLR</italic> genes exerted actions in the heart under hypoxia challenge. The results of the examination showed that whereas <italic>LcTLR5</italic> was dramatically up-regulated at 6 h, <italic>LcTLR2a</italic>, <italic>LcTLR3</italic>, and <italic>LcTLR9</italic> were remarkably down-regulated. It is noteworthy that there was a considerable up-regulation of <italic>LcTLR8</italic> expression at 24 hours, but a decrease at 6 hours.</p>
<p>During hypoxic stress, nine <italic>LcTLRs</italic> took involved in the kidney&#x2019;s immunological response. Following a 6-hour drop, <italic>LcTLR2a</italic> increased till 48 hours later. The expression of <italic>LcTLR3, LcTLR5, LcTLR7, LcTLR8</italic> and <italic>LcTLR9</italic> increased persistently, and there was a discernible rise in <italic>LcTLR7</italic> and <italic>LcTLR8</italic> at 48 hours. After 6 hours, <italic>LcTLR14</italic> was down-regulated and continued to decline.</p>
<p>The spleen regulated nine out of the <italic>LcTLR</italic> genes. At 6 h, there was a noticeable drop in <italic>LcTLR2a</italic>, <italic>LcTLR7</italic>, and <italic>LcTLR8</italic> and then showed an increasing trend step by step. <italic>LcTLR5</italic> and <italic>LcTLR14</italic> were signally down-regulated at both 24 h and 48 h. <xref ref-type="supplementary-material" rid="ST1">
<bold>Supplementary Table&#xa0;2</bold>
</xref> revealed the <italic>P</italic>-value and log<sub>2</sub> fold change.</p>
</sec>
<sec id="s3_5">
<label>3.5</label>
<title>Expression patterns of <italic>LcTLRs</italic> in the kidney after <italic>Aeromonas hydrophila</italic> infection</title>
<p>Using <italic>A. hydrophila</italic> infection transcriptome sequencing data in <italic>L. crocea</italic>, the involvement of <italic>TLR</italic> genes in the kidney was visualized in <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>. <xref ref-type="supplementary-material" rid="ST1">
<bold>Supplementary Table&#xa0;3</bold>
</xref> displayed <italic>P</italic>-value and log<sub>2</sub> fold change values. The majority of <italic>TLR</italic> genes were markedly down-regulated (<italic>P</italic> &lt; 0.05, |log<sub>2</sub> fold change|&gt;1) in bacterial infections. At 3 h after bacterial infection, <italic>LcTLR3</italic>, <italic>LcTLR7</italic>, <italic>LcTLR8</italic>, <italic>LcTLR9</italic> and <italic>LcTLR14</italic> were remarkedly down-regulated; At 12 h after bacterial infection, <italic>LcTLR3</italic>, <italic>LcTLR7</italic>, <italic>LcTLR9</italic> and <italic>LcTLR14</italic> were significantly down-regulated. At 24 h after bacterial infection, the expressions of <italic>LcTLR3</italic>, <italic>LcTLR7</italic>, <italic>LcTLR9</italic> and <italic>LcTLR14</italic> showed similar downward trends like above two-time points. Interestingly, only <italic>LcTLR5</italic> was visibly elevated at 3 h and then started a decreasing trend until it returned to normal at 24 h. Notably, <italic>LcTLR2b</italic> did not participate in immune inflammatory response from beginning to end.</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Heatmap illustrating the expression of <italic>LcTLRs</italic> following infection with <italic>Aeromonas hydrophila</italic>. Every cell in the heatmap represents an expression level that has been log<sub>10</sub> (FPKM+1) normalized. K is kidney. K0h as control groups, K3, K12 and K24 represent after infection treatment 3, 12 and 24 hours, X1, X2 and X3 are the three biological replications.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-11-1404183-g004.tif"/>
</fig>
</sec>
<sec id="s3_6">
<label>3.6</label>
<title>qRT-PCR validation of RNA-Seq data following <italic>A. hydrophila</italic> infection and hypoxic stress</title>
<p>After <italic>A. hydrophila</italic> infection and hypoxic stress, expression profiles of <italic>LcTLR2a</italic>, <italic>LcTLR3</italic>, <italic>LcTLR5</italic>, <italic>LcTLR8</italic>, <italic>LcTLR9</italic>, and <italic>LcTLR22</italic> were created using qRT-PCR to confirm the differentially expressed <italic>TLR</italic> genes. The expression trends of the qRT-PCR data were essentially in line with the RNA-Seq findings, as illustrated in <xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>. In general, the qPCR findings proved that the results of RNA-seq analysis were accurate and reliable.</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Validation of the expression levels of <italic>LcTLRs</italic> after <italic>A. hydrophila</italic> infection and hypoxic stress. <bold>(A&#x2013;D)</bold> stands for four groups. Group A represents <italic>A. hydrophila</italic> infection, the remaining three groups represent gill, kidney and spleen after hypoxia stress, respectively.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-11-1404183-g005.tif"/>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>It is now evident that TLRs promote and regulate the quality of the adaptive immune response in addition to playing a critical role in the innate identification of microorganisms (<xref ref-type="bibr" rid="B30">Manicassamy and Pulendran, 2009</xref>). The discovery of 21 distinct TLR types in a range of fish species in recent years has spurred interest in investigating TLRs&#x2019; potential as targets for increasing fish immunity and disease resistance (<xref ref-type="bibr" rid="B29">Mahapatra et&#xa0;al., 2023</xref>). Twelve TLRs in all were found in the <italic>L. crocea</italic> examined in this investigation. The number was the same as the closely related species <italic>T. rubripes</italic> and <italic>O. latipes</italic> (<xref ref-type="bibr" rid="B54">Xie et&#xa0;al., 2023</xref>). The majority of genes were carried by <italic>L. crocea</italic>, which reached a high level of evolutionary conservativeness. Besides, four &#x201c;fish-specific&#x201d; family members (<xref ref-type="bibr" rid="B39">Rebl et&#xa0;al., 2010</xref>) of <italic>TLRs</italic> were identified in <italic>L. crocea</italic>, including <italic>TLR21</italic>, <italic>22</italic>, <italic>23</italic>. These findings corroborated those of earlier research, which revealed that fish TLRs had a great deal of diversity and distinctive traits, most likely due to their varied evolutionary histories and the varied settings they live in (<xref ref-type="bibr" rid="B37">Palti, 2011</xref>).</p>
<p>Members of the TLR family in teleosts were divided into six clades based on sequence homology comparison (<xref ref-type="bibr" rid="B37">Palti, 2011</xref>; <xref ref-type="bibr" rid="B13">Fan et&#xa0;al., 2019</xref>). Additionally, TLRs 18&#x2013;20 and 22&#x2013;28 are thought to be special to fish (<xref ref-type="bibr" rid="B37">Palti, 2011</xref>). While the majority of fish TLRs have not been documented to recognize comparable PAMPs, the fish TLRs have unique characteristics resulting from their varied evolutionary backgrounds and intricate aquatic environments. Notably, even though <italic>L. crocea</italic> contained most <italic>TLR</italic> genes, we found that the large yellow croaker&#x2019;s genome lacked the <italic>TLR4</italic> and <italic>TLR13</italic> genes, and we also noticed the similar situation in the genome of <italic>D. rerio</italic>, <italic>P. olivaceus</italic> and <italic>O. niloticus</italic> etc., indicating that gene gain and loss events might occur frequently in fish.</p>
<p>The phylogeny of gene families may be further explained by structural analysis. Here, we found that <italic>LcTLR14</italic> had a longer intron structure while others had shorter introns. Besides, it was discovered that the majority of the TLR genes in <italic>Cyprinus carpio</italic> and <italic>Patinopecten yessoensis</italic> have intron-less architectures (<xref ref-type="bibr" rid="B16">Gong et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B55">Xing et&#xa0;al., 2017</xref>). The splicing process of post-transcriptional modification will take longer for gene architectures with longer or more introns (<xref ref-type="bibr" rid="B21">Jeffares et&#xa0;al., 2008</xref>), which is not good for the efficient regulation of genes. It was discovered that under stress, genes with short or no introns might express themselves quickly (<xref ref-type="bibr" rid="B17">Guo et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B28">Liu et&#xa0;al., 2022a</xref>). These findings implied that the TLR gene family might have evolved in a significant way toward gene structural simplification as a result of environmental adaption.</p>
<p>Studies have shown that environmental stressors just like hypoxia stress and bacterial infection could affect TLR expression. In the kidneys, spleen, brain, and fish gills, hypoxia typically results in cell necrosis, apoptosis, and inflammation while also encouraging the growth of new blood vessels (<xref ref-type="bibr" rid="B18">Harper and Wolf, 2009</xref>). However, little is known about how TLRs function in fish in response to hypoxia. Prior research has demonstrated that in both human and mouse dendritic cells (DCs), hypoxia preferentially upregulated the expressions of TLR2 and TLR6 (<xref ref-type="bibr" rid="B22">Kuhlicke et&#xa0;al., 2007</xref>). According to <xref ref-type="bibr" rid="B46">Stridh et&#xa0;al. (2011)</xref>, hypoxia in neonatal mice led to an increase in TLR1 and TLR2 expression in the brain. Additionally, research on Tibetan schizothoracine fish (<italic>Gymnocypris eckloni</italic>) revealed that while <italic>TLR2</italic> and <italic>TLR3</italic> expressions increased in the head kidney, <italic>TLR8a</italic>, <italic>TLR12</italic> and <italic>TLR19</italic> in the spleen, and <italic>TLR1</italic> expressions increased in the gill, the majority of TLRs&#x2019; mRNA expressions either significantly decreased or remained unchanged under acute hypoxia (<xref ref-type="bibr" rid="B38">Qi et&#xa0;al., 2017</xref>). In this study, the expression of <italic>LcTLR1</italic>, <italic>LcTLR9</italic>, and <italic>LcTLR21</italic> in gill, <italic>LcTLR5</italic> in heart, <italic>LcTLR3, LcTLR5, LcTLR7, LcTLR8</italic> and <italic>LcTLR9</italic> in kidney, and <italic>LcTLR2a</italic>, <italic>LcTLR7</italic>, <italic>LcTLR8</italic> in spleen were significantly up-regulated, whereas the expressions of other <italic>TLRs</italic> in the gill, heart, kidney and spleen declined dramatically or remained unchanged in a severe hypoxic environment. This result was consistent with Tibetan schizothoracine fish <italic>TLRs</italic> expression in response to acute hypoxia. The cessation of the energy-saving mechanism of TLR protein synthesis leads to the reduction of <italic>TLR</italic> mRNA (<xref ref-type="bibr" rid="B41">Roesner et&#xa0;al., 2006</xref>), and TLRs are normally involved in innate immune responses regulated by the expression of damage-associated molecular patterns (DAMP), which are secreted by necrotic or damaged cells (<xref ref-type="bibr" rid="B31">Mkaddem et&#xa0;al., 2010</xref>). Thus, the unique function of <italic>TLRs</italic> in mediating the innate immune response to host defense against hypoxia-induced tissue damage might be connected to tissue-specific TLR expression under hypoxic settings. TLRs offer a great model for examining the natural selection imposed by pathogenic microorganisms on the organism genome because of their direct placement at the host&#x2013;environment interface and potential for coevolutionary dynamics with their pathogenic counterparts (<xref ref-type="bibr" rid="B4">Barreiro et&#xa0;al., 2009</xref>).</p>
<p>There had suggested an idea called TLR/TLR cross-talk, which means that, in comparison to DCs stimulated with individual TLR4 ligand and TLR7 ligand, TLR/TLR synergy, such as simultaneous stimulation of human monocyte-derived DCs with LPS (TLR4 agonist) and R484 (TLR7 agonist), leads in a synergistic rise in anti-inflammatory cytokine IL-10 (<xref ref-type="bibr" rid="B35">Napolitani et&#xa0;al., 2005</xref>; <xref ref-type="bibr" rid="B30">Manicassamy and Pulendran, 2009</xref>). In this study, <italic>A. hydrophila</italic> infection was performed to evaluate <italic>L. crocea TLR</italic> gene alterations, and our results were similar to a research of <italic>L. crocea</italic> in response to <italic>Cryptocaryon irritans</italic> infection, demonstrating that <italic>TLR5</italic> was distinctly up-regulated following infection (<xref ref-type="bibr" rid="B64">Zhang et&#xa0;al., 2020</xref>). This might due to the function of <italic>TLR5</italic> responding to PAMP, such as lipids and bacterial proteins (<xref ref-type="bibr" rid="B57">Yang et&#xa0;al., 1999</xref>). <italic>TLR</italic> genes that were up-regulated during the bacterial infection were generally thought to be crucial for identifying bacterial ligands (<xref ref-type="bibr" rid="B63">Zhang et&#xa0;al., 2017</xref>). Besides, <italic>LcTLR3</italic>, <italic>LcTLR7</italic>, <italic>LcTLR9</italic> and <italic>LcTLR14</italic> were remarkedly down-regulated after 12 h in our study. The role of <italic>TLR3</italic> in immune responses was complex and differed between species. <italic>TLR3</italic> in the spleen did not significantly alter following injection of <italic>Vibrio parahaemolyticus</italic> in the prior research of <italic>Pseudosciaena crocea</italic>, suggesting that bacterial infection of the spleen might not be the initial cause of the <italic>PcTLR3</italic> response (<xref ref-type="bibr" rid="B19">Huang et&#xa0;al., 2011</xref>). After bath challenge with a Gram-negative bacterium, rainbow trout&#x2019;s spleen showed a similar outcome (<xref ref-type="bibr" rid="B40">Rodriguez et&#xa0;al., 2005</xref>). However, <italic>TLR3</italic> was shown to be significantly down-regulated in the kidney of channel catfish following an infection with <italic>Edwardsiella tarda</italic>. This finding, along with our results, suggested that this protein might be the most susceptible to bacterial infection, as the subpopulation of phagocytes expressing these genes might quickly migrate from the kidney to the infection sites (<xref ref-type="bibr" rid="B61">Zhang et&#xa0;al., 2013</xref>). This variation in expression changes of <italic>TLR3</italic> might be due to differences in TLR3-mediated inflammatory responses among different immune organs, further hinting that apart from their recognition of dsRNA, <italic>TLR3</italic> was also engaged in fish immune responses to bacterial infections. <italic>SmTLR7</italic> was markedly down-regulated in the gill and intestine of turbot (<italic>Scophthalmus maximus</italic>) following infection with both <italic>E. tarda</italic> and <italic>Vibrio anguillarum</italic> (<xref ref-type="bibr" rid="B53">Wang et&#xa0;al., 2022</xref>). After <italic>A. hydrophila</italic> infection, the expression level of <italic>MaTLR14</italic> was up-regulated in the liver, spleen, foregut, and hindgut of Asian swamp eels (<italic>Monopterus albus</italic>) (<xref ref-type="bibr" rid="B27">Liu et&#xa0;al., 2022b</xref>). All of these findings revealed that different Gram-negative bacterial components regulated <italic>TLRs</italic>, suggesting that the immune response to bacterial infection might involve numerous TLR-mediated signaling cascades at the same time. Notably, <italic>LcTLR2</italic> had no significant change throughout the process, which was inconsistent with the previous study showing that the <italic>LcTLR2</italic> transcripts increased significantly after <italic>Vibrio parahaemolyticus</italic>, Polyinosinic-polycytidylic acid (Poly(I:C)) and LPS immune challenges (<italic>p</italic> &lt; 0.05) in the spleen, liver and head-kidney (<xref ref-type="bibr" rid="B14">Fan et&#xa0;al., 2015</xref>). This might be due to differences in immune response induced by <italic>A. hydrophila</italic> and <italic>V. parahaemolyticus</italic>.</p>
<p>Together with <italic>A. hydrophila</italic> infection and hypoxic stress, this study revealed that there were six and nine members of <italic>LcTLRs</italic> showing significant differential expression in immune responses, respectively. These results provided insights into <italic>TLRs</italic> regulation to biological and abiotic stresses, implying that TLR expressions specific to particular tissues mediated innate immune responses for host defense against tissue damage or physiological changes brought on by bacterial infection and hypoxic stress.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusion</title>
<p>The larger yellow croaker (<italic>Larimichthys crocea</italic>) was found to harbor a total of 12 <italic>TLR</italic> genes in this study. Analysis of the <italic>TLR</italic> genes&#x2019; phylogenetic relationships, gene structures, and motif compositions revealed that these genes were highly conserved among different species. Expression pattern analysis and qPCR validation of <italic>A. hydrophila</italic> infection and hypoxic stress revealed that there were six and nine members of <italic>LcTLRs</italic> showing significant differential expression in immune responses, respectively. Notably, <italic>LcTLR5</italic> was significantly expressed under both biological and abiotic stresses, suggesting that it might play a significant role in the effort to combat environmental stressors. In summary, the identification of TLRs and their roles would advance our knowledge of fish disease resistance mechanisms and open up new avenues for therapeutic intervention to control immune responses.</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 in the article/<xref ref-type="supplementary-material" rid="ST1">
<bold>Supplementary Material</bold>
</xref>.</p>
</sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The animal study was approved by the Institutional Animal Care and Use Committee at the Zhejiang Laboratory Animal Research Center and Ningbo University. The study was conducted in accordance with the local legislation and institutional requirements.</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>T-YY: Writing &#x2013; original draft, Methodology, Formal analysis. Q-TM: Writing &#x2013; original draft, Investigation. X-YS: Writing &#x2013; original draft, Conceptualization. CR: Writing &#x2013; original draft, Data curation. Q-PX: Writing &#x2013; original draft, Formal analysis. X-BW: Writing &#x2013; review &amp; editing, Supervision, Project administration, Funding acquisition.</p>
</sec>
</body>
<back>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article. The work was supported by the Natural Science Foundation of Shandong Province (No. ZR2022MD064) and the Scientific Research Foundation for Introduced Talents of Ningbo University (ZX2022000602).</p>
</sec>
<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.2024.1404183/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fmars.2024.1404183/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Table_1.docx" id="ST1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
<supplementary-material xlink:href="Table_2.docx" id="ST2" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
<supplementary-material xlink:href="Table_3.docx" id="ST3" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
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