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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.2023.1201726</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>Identification and characterization of circRNAs from different body color leopard coral grouper (<italic>Plectropomus leopardus</italic>)</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Hao</surname><given-names>Ruijuan</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1154224"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhu</surname><given-names>Xiaowen</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1374561"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Tian</surname><given-names>Changxu</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1286826"/>
</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>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname><given-names>Guangli</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1371464"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<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="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn001"><sup>*</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1855288"/>
</contrib>
</contrib-group>    <aff id="aff1"><sup>1</sup><institution>Development and Research Center for Biological Marine Resources, Southern Marine Science and Engineering Guangdong Laboratory</institution>, <addr-line>Zhanjiang</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Fisheries College, Guangdong Ocean University</institution>, <addr-line>Zhanjiang</addr-line>, <country>China</country></aff>    <aff id="aff3"><sup>3</sup><institution>Guangdong Provincial Engineering Laboratory for Mariculture Organism Breeding, Guangdong Ocean University</institution>, <addr-line>Zhanjiang</addr-line>, <country>China</country></aff>
<aff id="aff4"><sup>4</sup><institution>Guangdong Research Center on Reproductive Control and Breeding Technology of Indigenous Valuable Fish Species, Guangdong Ocean University</institution>, <addr-line>Zhanjiang</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Adriana Muhlia, National Council of Science and Technology (CONACYT), Mexico</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Yong Zhang, Sun Yat-sen University, China; Carlos Alfonso Alvarez-Gonz&#xe1;lez, Universidad Ju&#xe1;rez Aut&#xf3;noma de Tabasco, Mexico</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Chunhua Zhu, <email xlink:href="mailto:chz416@163.com">chz416@163.com</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>25</day>
<month>05</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>10</volume>
<elocation-id>1201726</elocation-id>
<history>
<date date-type="received">
<day>11</day>
<month>04</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>10</day>
<month>05</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Hao, Zhu, Tian, Huang, Li and Zhu</copyright-statement>    <copyright-year>2023</copyright-year>
<copyright-holder>Hao, Zhu, Tian, Huang, Li and Zhu</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>Circular RNAs (circRNAs) play key roles in several biological processes in animals and their regulatory mechanism in body color formation or pigmentation in fish remains unclear. Here, circRNAs from black and red individuals of <italic>Plectropomus leopardus</italic> were identified to clarify the mechanism of circRNAs and the competing endogenous RNA (ceRNA) network (circRNA-microRNA (miRNA)-messenger RNA (mRNA)) in body color formation. We detected a total of 1,424 novel circRNAs. Expression analysis of circRNAs in black vs. red <italic>P. leopardus</italic> revealed 24 differentially expressed circRNAs (DECs), and 11 and 13 of these DECs were up-regulated and down-regulated in red individuals relative to black individuals, respectively (P&lt;0.05 and |log<sub>2</sub> Fold Change (FC)|&gt;1). We identified a total of 19 significant miRNA-circRNA-mRNA ceRNA networks through the analysis of DECs, differentially expressed miRNAs (DEMs) and differentially expressed genes (DEGs). Pathway enrichment analyses of the DEGs involved in the ceRNA network revealed that they were mainly involved in melanin metabolism and immune response. Our findings showed the possibility of the regulatory functions of circRNAs and the corresponding ceRNA network in the body color formation process and will aid the breeding selection process of <italic>P. leopardus</italic>.</p>
</abstract>
<kwd-group>
<kwd><italic>Plectropomus leopardus</italic>
</kwd>
<kwd>circRNA</kwd>
<kwd>ceRNA</kwd>
<kwd>body color</kwd>
<kwd>pigmentation</kwd>
</kwd-group>
<counts>
<fig-count count="6"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="64"/>
<page-count count="11"/>
<word-count count="4111"/>
</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>Fisheries and aquaculture provide important sources of food and income, and their importance continues to grow as wild fish stocks decline (<xref ref-type="bibr" rid="B27">Jennings et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B2">Belton et&#xa0;al., 2018</xref>). Body color is an essential phenotypic trait that has implications for predator avoidance and thermoregulation in animals (<xref ref-type="bibr" rid="B34">Leclercq et&#xa0;al., 2010</xref>). In fish, body color can be an indicator of the quality and economic value of fish, as fish with brighter, more vibrant colors are generally preferred by consumers (<xref ref-type="bibr" rid="B49">Vissio et&#xa0;al., 2021</xref>). Several genes, miRNAs, and metabolites that affect body color have been identified in previous studies (<xref ref-type="bibr" rid="B7">Curran et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B60">Zhu et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B17">Hao et&#xa0;al., 2022a</xref>). For example, Forkhead box D3 (Foxd3) controls melanophore specification in the zebrafish neural crest by regulation of microphthalmia transcription factor (Mitf) which upstream of multiple genes necessary for melanin production (<xref ref-type="bibr" rid="B7">Curran et&#xa0;al., 2009</xref>). <xref ref-type="bibr" rid="B60">Zhu et&#xa0;al. (2021)</xref> reported that low-density lipoproteins receptor adapter 1, guanosine triphosphatase, and regulator of G-protein signaling genes and metabolites including tyrosine, lecithin, prostacyclin may contribute to skin color differences in <italic>P. leopardus</italic>. A total of 158 differentially expressed miRNAs were identified in the skin color differentiation of red tilapia and among them, miR-138-5p and miR-722 were predicted to play important roles in regulating the pigmentation process (<xref ref-type="bibr" rid="B50">Wang et&#xa0;al., 2018a</xref>). However, the molecular regulatory mechanisms of these genes have not yet been clarified (<xref ref-type="bibr" rid="B3">Bertolini et&#xa0;al., 2020</xref>).</p>
<p>Circular RNAs (circRNAs) are a large class of non-coding RNAs with covalent bonds that link the 3&#xb4; and 5&#xb4; ends by back splicing; they are involved in the regulation of various biological processes in eukaryotic cells (<xref ref-type="bibr" rid="B57">Zhang et&#xa0;al., 2014</xref>). CircRNAs are highly stable and resistant to degradation by ribonucleases because they lack free 3&#x2032; or 5&#xb4; ends (<xref ref-type="bibr" rid="B33">Lasda and Parker, 2016</xref>). CircRNAs perform their functions in various biological processes by binding to their source genes via the formation of an R-loop, which results in the cessation of transcription and even changes in phenotype (<xref ref-type="bibr" rid="B53">Xu et&#xa0;al., 2020</xref>). CircRNAs might also function as microRNA (miRNA) sponges and hinder miRNA-mediated gene inhibition or silencing through competing endogenous RNA (ceRNA) networks (<xref ref-type="bibr" rid="B46">Salmena et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B41">Memczak et&#xa0;al., 2013</xref>). Ribonucleoprotein complexes can be formed by the binding of circRNAs to transcription factors and RNA-binding proteins (<xref ref-type="bibr" rid="B1">Aktas et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B43">Quan et&#xa0;al., 2021</xref>). Several studies have reported that circRNAs function in muscle development (<xref ref-type="bibr" rid="B32">Kotb et&#xa0;al., 2015</xref>), transcriptional regulation (<xref ref-type="bibr" rid="B58">Zhang et&#xa0;al., 2013</xref>), as well as cellular communication and signal transduction (<xref ref-type="bibr" rid="B36">Li et&#xa0;al., 2015</xref>). Studies of circRNAs in fish have mainly examined the roles of circRNAs in the pathogenesis of various diseases in grass carp (<italic>Ctenopharyngodon idellus</italic>) (<xref ref-type="bibr" rid="B19">He et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B37">Liu et&#xa0;al., 2019</xref>), flounder (<italic>Paralichthys olivaceus</italic>) (<xref ref-type="bibr" rid="B52">Xiu et&#xa0;al., 2019</xref>), and Nile tilapia (<italic>Oreochromis niloticus</italic>) (<xref ref-type="bibr" rid="B12">Fan et&#xa0;al., 2019</xref>). However, few studies have examined the function of circRNAs in body color formation.</p>
<p>Several miRNAs involved in body color formation have been documented in fish (<xref ref-type="bibr" rid="B50">Wang et&#xa0;al., 2018a</xref>; <xref ref-type="bibr" rid="B9">Dong et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B30">Kennell et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B8">Dong et&#xa0;al., 2020</xref>). Multiple miRNAs in red tilapia and common carp have been reported to regulate the expression of body color formation related genes (<xref ref-type="bibr" rid="B50">Wang et&#xa0;al., 2018a</xref>; <xref ref-type="bibr" rid="B54">Yan et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B39">Luo et&#xa0;al., 2018</xref>). Recent studies have shown that messenger RNAs (mRNAs) are not the only molecules regulated by miRNAs (<xref ref-type="bibr" rid="B42">Poliseno et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B44">Quinn and Chang, 2016</xref>). CircRNAs can mediate decreases in the expression of miRNAs via ceRNA networks by acting as miRNA sponges, and this can have downstream regulatory effects on the expression of target mRNAs (<xref ref-type="bibr" rid="B28">Jiang et&#xa0;al., 2020</xref>).</p>
<p><italic>P. leopardus</italic> is an important tropical and subtropical fish that varies in body color (<xref ref-type="bibr" rid="B60">Zhu et&#xa0;al., 2021</xref>). Several body color-related genes of <italic>P. leopardus</italic> have been identified in previous transcriptome analyses (<xref ref-type="bibr" rid="B60">Zhu et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B18">Hao et&#xa0;al., 2022b</xref>; <xref ref-type="bibr" rid="B55">Yang et&#xa0;al., 2020a</xref>). However, the specific regulatory mechanism of these genes has not yet been clarified. Here, we identified several circRNAs in black and red <italic>P. leopardus</italic> to clarify the molecular mechanism by which circRNAs, via their corresponding ceRNAs, regulate the expression of mRNAs involved in body color formation in <italic>P. leopardus</italic>.</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>Experimental animals</title>
<p>Black and red <italic>P. leopardus</italic> fish (four months old) were obtained and fed with Dongwan grouper feed (Guangdong Yuequn Biotechnology Co., Ltd., China) twice per day (10&#xa0;a.m. and 4 p.m.). Six red-colored and six black-colored individuals were utilized for this experiment. Both the red-colored and black-colored groups were obtained from base stock established with the breeders collected from Hainan and Taiwan provinces of China, Australia and Philippines. They were reared in the same conditions with studies of <xref ref-type="bibr" rid="B60">Zhu et&#xa0;al. (2021)</xref> and <xref ref-type="bibr" rid="B17">Hao et&#xa0;al. (2022a)</xref>. After temporary rearing for one week, eugenol was used to anesthetize fish; fish were then sacrificed, and skin tissue samples were taken. All animal experiments were conducted in accordance with the guidelines and approval of the respective Animal Care and Use Committee of Guangdong Ocean University, China.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Sequencing of circRNAs and bioinformatics analysis</title>
<p>Total RNA was extracted from skin tissue samples, and linear RNAs were removed via treatment with RNase R. A strand-specific library of the present study was constructed and sequenced using an Illumina NovaSeq_6000 platform with the purified RNAs. The sequenced data were then filtered by fastp (version 0.18.0) (<xref ref-type="bibr" rid="B6">Chen et&#xa0;al., 2018</xref>). TopHat2 (version 2. 1.1) (<xref ref-type="bibr" rid="B31">Kim et&#xa0;al., 2013</xref>) was used to map these filtered reads to the reference genome (<xref ref-type="bibr" rid="B59">Zhou et&#xa0;al., 2020</xref>). The software find_circ (version 1) (<xref ref-type="bibr" rid="B41">Memczak et&#xa0;al., 2013</xref>) was used to identify circRNAs. Types of circRNAs, their distribution on chromosomes, and their length distribution were analyzed; circBase (<xref ref-type="bibr" rid="B14">Gla&#x17e;ar et&#xa0;al., 2014</xref>) annotations of the circRNAs were obtained via BLAST searches. Novel circRNAs were circRNAs that could not be annotated.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Quantification of circRNA abundance</title>
<p>Reads per million mapped reads of circRNAs were calculated using edgeR package (version 3.12.1) (<ext-link ext-link-type="uri" xlink:href="http://www.r-project.org/">http://www.r-project.org/</ext-link>) to quantify the abundance of circRNAs. DECs were identified (|log<sub>2</sub>FC|&gt;1 and P &lt; 0.05). The genes from which circRNAs were derived were referred to as source genes. Gene ontology (GO) and Kyoto Encylopaedia of Genes and Genomes (KEGG) enrichment analyses of DECs source genes were conducted to clarify the role of identified circRNAs.</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>CeRNA network analysis</title>
<p>The ceRNA network was constructed via analysis of DEGs (|log<sub>2</sub>FC|&gt;1 and false discovery rate (FDR) &lt; 0.05), DECs (|log<sub>2</sub>FC|&gt;1 and P &lt; 0.05), and DEMs (|log<sub>2</sub>FC|&gt;1 and P &lt; 0.05) between black and red fish. miRNAs target genes were predicted using Mireap, Miranda (version 3.3a), and TargetScan (version 7.0). The ceRNA network was constructed using the following rules: regulator&#x2013;target relationships must exist between miRNAs and ceRNAs, and their expression must be negatively correlated; there are only positive correlations in the expression of ceRNAs; and there is competition among ceRNAs for binding to the same miRNA. Significant correlations between mRNAs and miRNAs, between circRNAs and miRNAs, and between circRNAs and mRNAs were identified (Spearman Rank correlation coefficient (SCC) &lt; -0.7 and Pearson correlation coefficient &gt; 0.9). The significance of the common miRNA sponges between two genes was evaluated using a hypergeometric cumulative distribution function test (P &lt; 0.05). DEGs from the ceRNAs were analyzed via GO and KEGG pathway enrichment analyses.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Identification of circRNAs</title>
<p>The skin tissues of black and red <italic>P. leopardus</italic> were used to construct circRNA libraries. A total of 75,683,350 and 76,705,950 reads were obtained from skin tissues of black and red fish, and the number of clean reads for black and red fish samples was 75,560,371 and 76,569,781, respectively (<xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>). The raw data presented in the study are deposited in the Sequence Read Archive of the NCBI (SRR22522288, SRR22522289, SRR22522290, SRR22522291, SRR22522292, SRR22522293). The accession number is PRJNA908242. The Q30 (the accuracy of each base is 99.9%) values for the black and red fish were 94.4% and 94.6%, respectively, which suggests that the data were sufficiently robust for subsequent analysis. We identified a total of 1,424 circRNAs, including 1,086 and 1,084 in the black and red group, respectively. Analysis of the spliced lengths of the candidate circRNAs (which ranged from 89 nucleotides (nt) to 72,726 nt) revealed that approximately 90.9% and 49.0% of circRNAs had spliced lengths less than 2,000 nt and between 201 and 500 nt, respectively (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1A</bold></xref>). Analysis of the genes from which circRNAs were derived revealed that most circRNAs (55.76%, 794 circRNAs) were spliced from annot_exons, and only 1.69% of circRNAs (24 circRNAs) were intronic circRNAs (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1B</bold></xref>). Analysis of the chromosomal distribution of circRNAs revealed that they were present on every chromosome (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1C</bold></xref>).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Sequencing data analysis of circRNA.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Sample</th>
<th valign="middle" align="center">Raw Reads</th>
<th valign="middle" align="center">Clean Reads (%)</th>
<th valign="middle" align="center">Q30 (%)</th>
<th valign="middle" align="center">GC content (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">B-1</td>
<td valign="middle" align="left">75863170</td>
<td valign="middle" align="left">75747414 (99.85%)</td>
<td valign="middle" align="left">94.46%</td>
<td valign="middle" align="left">52.39%</td>
</tr>
<tr>
<td valign="middle" align="left">B-2</td>
<td valign="middle" align="left">77295838</td>
<td valign="middle" align="left">77182800 (99.85%)</td>
<td valign="middle" align="left">94.54%</td>
<td valign="middle" align="left">52.82%</td>
</tr>
<tr>
<td valign="middle" align="left">B-3</td>
<td valign="middle" align="left">73891042</td>
<td valign="middle" align="left">73750900 (99.81%)</td>
<td valign="middle" align="left">94.13%</td>
<td valign="middle" align="left">52.38%</td>
</tr>
<tr>
<td valign="middle" align="left">R-1</td>
<td valign="middle" align="left">75358516</td>
<td valign="middle" align="left">75231890 (99.83%)</td>
<td valign="middle" align="left">94.77%</td>
<td valign="middle" align="left">53.06%</td>
</tr>
<tr>
<td valign="middle" align="left">R-2</td>
<td valign="middle" align="left">78443422</td>
<td valign="middle" align="left">78294144 (99.81%)</td>
<td valign="middle" align="left">94.44%</td>
<td valign="middle" align="left">53.83%</td>
</tr>
<tr>
<td valign="middle" align="left">R-3</td>
<td valign="middle" align="left">76315912</td>
<td valign="middle" align="left">76183310 (99.83%)</td>
<td valign="middle" align="left">94.57%</td>
<td valign="middle" align="left">52.97%</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>&#x201c;B&#x201d; and &#x201c;R&#x201d; represented black-colored and red-colored group, respectively.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Analysis of the circRNAs identified in <italic>P. leopardus</italic>. <bold>(A)</bold> Length distribution of circRNAs. The column represents the frequency of length (left longitudinal axis), and the curve represents the percentage of length (right longitudinal axis) <bold>(B)</bold> Categories of circRNAs including annot_exons, antisense, exon_intron, intergenic, intronic and one_exon. <bold>(C)</bold> The chromosomal locations of circRNAs which showed that cirRNAs were present on every chromosome.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1201726-g001.tif"/>
</fig>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Expression analysis of circRNAs</title>
<p>Expression of circRNAs in skin tissues of black and red <italic>P. leopardus</italic> were analyzed. Principal component analysis (PCA) revealed clear differences in circRNA expression between black and red fish (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2A</bold></xref>). The numbers and distribution of circRNAs are shown in a volcano plot (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2B</bold></xref>). We identified a total of 24 circRNAs (P &lt; 0.05 and |log<sub>2</sub> FC| &gt; 1) (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplemental Table&#xa0;1</bold></xref>; <xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2C</bold></xref>). The expression of 11 and 13 DECs was up-regulated and down-regulated in red fish compared with black fish, respectively. A heatmap was made to visualize the expression profiles of these DECs (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2D</bold></xref>). The heatmap revealed that the expression profiles of DECs differed in black and red fish.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Analysis of the expression of circRNAs. <bold>(A)</bold> Results of a PCA of the expression levels of circRNAs in black and red <italic>P. leopardus</italic>. <bold>(B)</bold> Volcano plot of circRNAs. Red and blue dot represented up-regulated and down-regulated genes in the red-colored group compared with black-colored group, respectively. <bold>(C)</bold> Analysis of DEGs in black and red <italic>P. leopardus</italic>. Red and blue columns represented the number of up-regulated and down-regulated genes in the red-colored group compared with black-colored group, respectively. <bold>(D)</bold> Heatmap of the expression profiles of circRNAs. Red and blue represented high expression and low expression, respectively. &#x201c;B&#x201d; and &#x201c;R&#x201d; represented black-colored and red-colored group, respectively.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1201726-g002.tif"/>
</fig>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Pathway analysis of DEC source genes</title>
<p>A total of four DECs of the 24 DECs identified were circular intronic RNAs with no source gene; the remaining 20 DECs were circular exonic circRNAs and exon-intron circRNAs derived from 20 source genes. GO analysis showed that DEC source genes were mainly involved in cellular component, molecular function, and biological process (P &lt; 0.5) and enriched in Golgi related pathway including Golgi apparatus part, Golgi membrane, and Golgi apparatus (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3A</bold></xref>; <xref ref-type="supplementary-material" rid="SM1"><bold>Supplemental Table&#xa0;2</bold></xref>). KEGG pathway enrichment of DEC source genes indicated that they were enriched in several pathways, including bacterial invasion of epithelial cells, chemokine signaling pathway, cellular senescence, and ubiquitin-mediated proteolysis (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3B</bold></xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Enrichment analysis of circRNA source genes. <bold>(A)</bold> GO terms analysis of circRNA source genes. Red, green and blue represented the biological process, cellular component, and molecular function terms, respectively. <bold>(B)</bold> KEGG pathway enrichment analysis of circRNA source genes. The length of column showed the number and percent of pathway, and the depth of color showed q-value of pathway.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1201726-g003.tif"/>
</fig>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Integrated analysis of DEMs with DEGs and DECs</title>
<p>The DEG, DEM, and DEC datasets for red and black <italic>P. leopardus</italic> were used to conduct an integrated analysis of DEMs with DECs and DEGs. A total of 489 DEGs (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplemental Table&#xa0;3</bold></xref>, |log<sub>2</sub>FC|&gt;1 and FDR &lt; 0.05), 60 DEMs (<xref ref-type="bibr" rid="B17">Hao et&#xa0;al., 2022a</xref>, |log<sub>2</sub>FC|&gt;1 and P &lt; 0.05), and 24 DECs (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplemental Table&#xa0;1</bold></xref>, |log<sub>2</sub>FC|&gt;1 and P &lt; 0.05) were analyzed. A total of 2,173 mRNA&#x2013;miRNA pairs, including 379 DEGs and 59 DEMs, and 104 circRNA-miRNA pairs, including 21 DECs and 53 DEMs, were identified in red and black <italic>P. leopardus</italic>. SCC was less than -0.7 for 605 miRNA-mRNA pairs and 31 miRNA-circRNA pairs, and network analysis was conducted using these miRNA-mRNA and miRNA-circRNA pairs (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplemental Tables&#xa0;4, 5</bold></xref>).</p>
</sec>
<sec id="s3_5">
<label>3.5</label>
<title>Analysis of the regulatory ceRNA network (DECs-DEMs-DEGs)</title>
<p>The network analysis revealed 357 circRNA-mRNA pairs, containing eight circRNAs and 272 mRNAs with an SCC greater than 0.9. The final ceRNA network containing 19 miRNA-circRNA and miRNA-mRNA pairs (six circRNAs, 16 miRNAs, and 18 mRNAs) was generated by conducting hypergeometric cumulative distribution function tests (P &lt; 0.05, <xref ref-type="supplementary-material" rid="SM1"><bold>Supplemental Table&#xa0;6</bold></xref>). Connectivity analysis was conducted on the hub genes of the net-work with important functions. In the ceRNA network, APC membrane recruitment 2 (Dxb_GLEAN_10011350) was regulated by five miRNAs (miR-192-z, miR-466-x, miR-625-x, novel-m0120-5p, and novel-m0121-3p) and one circRNA (novel_circ_000127) (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4</bold></xref>). The tyrosine family member genes tyrosinase related protein 1 (TYRP1) (Dxb_GLEAN_10020133; Dxb_GLEAN_10003424) and tyrosinase related protein 2 (TYRP2) (Dxb_GLEAN_10014015) were regulated by one circRNA (novel_circ_000495) and one miRNA (novel-m0095-3p).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>ceRNA network connectivity analysis. The first, second, and third column showed the DECs, DEMs, and DEGs, respectively. In the first and third column, the same color showed the same DECs and DEGs network, respectively.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1201726-g004.tif"/>
</fig>
</sec>
<sec id="s3_6">
<label>3.6</label>
<title>GO analysis of ceRNA network DEGs</title>
<p>GO analysis revealed that DEGs of the ceRNA network were significantly enriched in 71 GO terms (P &lt; 0.05; <xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5</bold></xref>). These 71 GO terms included pigment-related terms (melanin metabolic process, tyrosine metabolic process, pigment metabolic process, pigment granule, pigmentation, pigment granule organization, cellular pigmentation, pigment cell differentiation, and developmental pigmentation), as well as immune-related terms or stress response terms containing cellular response to glucocorticoid stimulus, response to ammoniumion, cellular response to corticosteroid stimulus, and response to glucagon.</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>GO analysis of DEGs from the ceRNA network. <bold>(A)</bold> Analysis of the GO terms enrichment of DEGs from the ceRNA network. The first circle: the top 20 GO terms in the enrichment analysis, and the outside circle is the coordinate scale for the number of DEGs. Different colors represent different Ontology; Circle 2: The DEGs number and Q value of the GO term in background. The more the number of DEGs, the longer the bars, and the smaller the Q value, the redder the color; Circle 3: The number of DEGs in the GO term; Circle 4: RichFactor value of each GO term. <bold>(B)</bold> GO terms analysis of DEGs from the ceRNA network. Red, green and blue represented the biological process, cellular component, and molecular function terms, respectively.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1201726-g005.tif"/>
</fig>
</sec>
<sec id="s3_7">
<label>3.7</label>
<title>KEGG pathway analysis of ceRNA network DEGs</title>
<p>A total of 24 enriched pathways, including pigmentation-related pathways (tyrosine metabolism and melanogenesis) and immune system pathways (C-type lectin receptor signaling pathway, nucleotide-binding, oligomerization domain (NOD)-like receptor signaling pathway, and chemokine signaling pathway) (<xref ref-type="fig" rid="f6"><bold>Figure&#xa0;6</bold></xref>) were detected in the KEGG pathway analysis of ceRNA network DEGs. Infectious disease-related pathways such as pertussis, Yersinia infection, and Salmonella infection were also enriched.</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>KEGG pathway analysis of DEGs from the ceRNA network. <bold>(A)</bold> KEGG pathway enrichment analysis of DEGs from the ceRNA network. The length of column showed the number and percent of pathway, and the depth of color showed q-value of pathway. <bold>(B)</bold> Analysis of the KO enrichment of DEGs from the ceRNA network. The first circle: the top 20 pathway in the enrichment analysis, and the outside circle is the coordinate scale for the number of DEGs. Different colors represent different class; Circle 2: The DEGs number and Q value of the pathway in background. The more the number of DEGs, the longer the bars, and the smaller the Q value, the redder the color; Circle 3: The number of DEGs in the pathway; Circle 4: RichFactor value of each pathway.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1201726-g006.tif"/>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>Body color is an essential phenotypic trait that affects the adaptation of <italic>P. leopardus</italic> to its environment (<xref ref-type="bibr" rid="B5">Chen et&#xa0;al., 2019</xref>). An increasing number of studies have examined the regulatory roles of circRNAs in body color formation (<xref ref-type="bibr" rid="B62">Zhu et&#xa0;al., 2020</xref>). However, the special mechanism by which circRNAs regulate body color formation in marine animals has not been extensively studied. We identified circRNAs involved in body color formation and constructed circRNA-miRNA-mRNA networks in <italic>P. leopardus</italic>. Pathway enrichment analyses were clarified to show the functions of circRNAs in body color formation; the results of these analyses provide data that could be used in future studies of the regulatory mechanism by which circRNAs participate in marine animal body color formation. The potential for miRNAs and mRNAs to be used to alter the body color of fish is low given that their half-lives in cells and tissues are short. The potential for circRNAs to be used for this purpose through targeted miRNA silencing is higher than that of linear RNAs given that circRNAs are more chemically stable than linear RNAs (<xref ref-type="bibr" rid="B23">Holdt et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B45">Rbbani et&#xa0;al., 2021</xref>).</p>
<p>We identified circRNAs in individuals of <italic>P. leopardus</italic> varying in body color; these circRNAs were classified as exonic circRNAs (one_exon, annot_exon, and exon_intron), intronic circRNAs, and intergenic circRNAs. Exonic circRNAs were the most common, and these findings are consistent with the results of previous studies of tilapia and mice (<xref ref-type="bibr" rid="B26">Jeck et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B12">Fan et&#xa0;al., 2019</xref>). In tilapia, multiple circRNAs can be derived from a single gene (<xref ref-type="bibr" rid="B12">Fan et&#xa0;al., 2019</xref>). In our study, one source gene could generate multiple circRNA isoforms in <italic>P. leopardus</italic>, and this was associated with alternative back splicing.</p>
<p>CircRNAs are synthesized by back splicing, which differs from the traditional splicing mechanism of linear mRNAs; study of the function of the source mRNAs can provide insights into the functions of circRNAs. A total of 24 DECs were identified via analysis of the expression of DECs between black and red <italic>P. leopardus</italic>. CircRNAs can be co-expressed with their source genes in the same locus (<xref ref-type="bibr" rid="B25">Huang et&#xa0;al., 2017</xref>), and they can play a role in regulating the expression of their source genes by mediating decreases in the quantity of pre-mRNA for canonical splicing (<xref ref-type="bibr" rid="B47">Salzman et&#xa0;al., 2012</xref>). In addition, the linear transcripts of the source gene might regulate the expression of circRNAs. The novel_circ_001296 DEC was transcribed from the foxp1b (Dxb_GLEAN_10021390) gene. Previous studies have shown that miR-429 silencing can lead to an increase in Foxd3 expression <italic>in vivo</italic> and inhibit MITF expression, which leads to decreases in the expression of downstream genes, including the melanin synthesis-related genes tyrosinase (TYR), TYRP1, and TYRP2 (<xref ref-type="bibr" rid="B54">Yan et&#xa0;al., 2013</xref>). The novel_circ_000160 DEC was transcribed from the SLC9A7 (Dxb_GLEAN_10021160) gene. Solute carriers (SLCs) play a role in skin pigmentation or body color formation, and many SLC genes are differentially expressed in chicken, tilapia, and leopard grouper individuals varying in color (<xref ref-type="bibr" rid="B18">Hao et&#xa0;al., 2022b</xref>; <xref ref-type="bibr" rid="B22">Hoglund et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B63">Zhu et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B4">Chen et&#xa0;al., 2020</xref>). The source genes of the DECs are also involved in protein ubiquitination. E3 ubiquitin-protein ligase CBL (Dxb_GLEAN_10018739) is involved in the process of ubiquitin-mediated protein degradation (<xref ref-type="bibr" rid="B21">Hochrainer et&#xa0;al., 2005</xref>), and the up-regulation of the gene encoding this protein in black fish relative to red fish suggests that protein degradation has occurred. However, additional studies are needed to clarify the relationships between source genes and circRNAs.</p>
<p>The activity and expression of miRNAs can be inhibited by circRNAs, and this can alter the expression of the target genes of miRNAs (<xref ref-type="bibr" rid="B16">Hansen et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B15">Hansen et&#xa0;al., 2013</xref>). Genetics plays a role in trait inheritances and the SNP detection of trait-related genes or regulatory molecules to obtain potential markers for phenotype in breeding has been widely used in aquaculture (<xref ref-type="bibr" rid="B13">Fan et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B35">Lei et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B56">Yang et&#xa0;al., 2020b</xref>). In the present study, differential expression of circRNAs and genes in the two phenotypes is evident, which may suggest a direction for the SNPs detection which were associated with body color formation. Color phenotype is determined by the combination of genetics and environmental factors, and changes in environmental factors can also trigger variations in hormone and neuron secretion, resulting in different skin color responses (<xref ref-type="bibr" rid="B38">Luo et&#xa0;al., 2021</xref>). For example, background color signals are transmitted to the brain via vision, and are processed by the central nervous system to act on skin pigment cells to adjust the body color to the background color (<xref ref-type="bibr" rid="B64">Zimmermann et&#xa0;al., 2018</xref>). Dietary Cys and Tyr could affect the melanin synthesis pathway in the red tilapia and participate in the skin color differentiation (<xref ref-type="bibr" rid="B51">Wang et&#xa0;al., 2018b</xref>). Therefore, it is reasonable to hypothesize that body color changes triggered by environmental factor is partially related to the expression level changes in molecules including circRNAs, miRNAs and mRNAs through participating in or regulating pigmentation related pathway.</p>
<p>GO analysis of DEC source genes revealed that genes related to body color variation were involved in Golgi apparatus part, Golgi membrane, and Golgi apparatus. Tyrosinase family proteins involved in melanin biosynthesis might be trafficked through the Golgi apparatus and then to type II melanosomes, where they promote melanin deposition (<xref ref-type="bibr" rid="B10">Dooley et&#xa0;al., 2013</xref>). Therefore, novel_circ_001363 might regulate the expression of its source gene to modify the transport of TYR and TYRP1 through the Golgi apparatus (<xref ref-type="bibr" rid="B24">Hu et&#xa0;al., 2022</xref>). Black body color is highly associated with melanin synthesis (<xref ref-type="bibr" rid="B20">Henning et&#xa0;al., 2013</xref>); in our study, DEGs in the ceRNA network were enriched in melanin synthesis-related pathways, including melanogenesis and tyrosine metabolism (<xref ref-type="bibr" rid="B29">Kelsh, 2004</xref>).</p>
<p>RNAs with the same miRNA-binding site may compete with each other for miRNA binding and function as ceRNAs. Previous studies have shown that circRNAs play a regulatory role in determining the color of the hair on the skin of mice via the circRNA-miRNA-mRNA ceRNA network (<xref ref-type="bibr" rid="B61">Zhu et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B62">Zhu et&#xa0;al., 2020</xref>). In our study, the ceRNA network was constructed, and related DEGs were enriched in several immune pathways, indicating that circRNAs might regulate the immunity of fish varying in body color. Higher levels of melanin promote immune defense and wound healing in <italic>Amphiprion percula</italic> (<xref ref-type="bibr" rid="B48">Smith et&#xa0;al., 2018</xref>). Darker eumelanic individuals show higher immune activity than lighter individuals (<xref ref-type="bibr" rid="B40">McGraw, 2005</xref>; <xref ref-type="bibr" rid="B11">Ducrest et&#xa0;al., 2008</xref>). However, additional studies are necessary to determine whether these genes are targeted by circRNAs or whether they affect the body color of <italic>P. leopardus</italic>.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusions</title>
<p>A total of 1,424 novel circRNAs were identified in black and red <italic>P. leopardus</italic>. A total of 24 circRNAs were detected as DECs. Integrated analysis of DECs, DEMs, and DEGs yielded a ceRNA network with 19 significant miRNA-circRNA and miRNA-mRNA pairs. Pathway enrichment of ceRNA network DEGs revealed that they may participate in the regulation of the immune response and melanin-related metabolism. The results indicated the potential functions of circRNAs and the ceRNA network in body color formation and will aid future efforts to breed <italic>P. leopardus</italic> individuals with colors.</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="SM1"><bold>Supplementary Material</bold></xref>.</p>
</sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The animal study was reviewed and approved by the respective Animal Care and Use Committee of Guangdong Ocean University.</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>CZ designed and supervised the research. RH conducted the research, analyzed the data and wrote the manuscript. XZ, CT, YH nd GL contributed to the final writing of the manuscript. 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 work was supported by National Nature Science Foundation of China (Grant No. 32102766); Southern Marine Science and Engineering Guangdong Laboratory (Zhanjiang) (Grant No. ZJW-2019-06); Jieyang City Science and Technology Plan Project (Grant No. 2019066).</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.2023.1201726/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fmars.2023.1201726/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Table_1.xlsx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"/>
</sec>
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