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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.2024.1492138</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 genome survey of male and female <italic>Hapalogenys analis</italic>
</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>Kai</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2766414"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/visualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Qu</surname>
<given-names>Yin-Quan</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2091877"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Shi</surname>
<given-names>Hui-Lai</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ping</surname>
<given-names>Hong-Ling</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Gao</surname>
<given-names>Tian-Xiang</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/766262"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Fisheries College, Jimei University</institution>, <addr-line>Xiamen</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>State Key Laboratory of Mariculture Breeding, Fisheries College of Jimei University</institution>, <addr-line>Xiamen</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Fishery College, Zhejiang Ocean University</institution>, <addr-line>Zhoushan</addr-line>, <country>China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Zhejiang Province Key Lab of Mariculture and Enhancement, Zhejiang Marine Fisheries Research Institute</institution>, <addr-line>Zhoushan</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Yu Zhang, Shanghai Jiao Tong University, China</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Kai Liu, Hangzhou Academy of Agricultural Sciences, China</p>
<p>Khaled Mohammed Geba, Menoufia University, Egypt</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Tian-Xiang Gao, <email xlink:href="mailto:gaotianxiang0611@163.com">gaotianxiang0611@163.com</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>28</day>
<month>11</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>11</volume>
<elocation-id>1492138</elocation-id>
<history>
<date date-type="received">
<day>06</day>
<month>09</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>12</day>
<month>11</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Liu, Qu, Shi, Ping and Gao</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Liu, Qu, Shi, Ping and Gao</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>Effectively assessing the basic genomic information of a species is fundamental for conducting molecular research and provides a foundation for constructing whole-genome maps. <italic>Hapalogenys analis</italic> is a temperate and tropical nearshore marine fish in China&#x2019;s coastal waters, with significant economic value and high aquaculture potential. However, the genomic differences between male and female individuals of this species are not yet apparent. This study conducted whole-genome survey analyses on male and female <italic>H. analis</italic> to provide basic genomic information. According to K-mer analysis, the genome sizes of female and male fish were 436.24 Mb and 493.21 Mb. The heterozygosity rates were 0.58% for females and 0.23% for males. The proportion of repetitive sequences of female and male fish were 42.95% and 51.20%. The GC content of the genomes was 43.30% for female and 43.20% for male. The sizes of the assembled genomes were 589.18 Mb for female and 592.02 Mb for male, with N50 lengths of 3,135 bp and 3,041 bp, respectively. SSR screening results showed that 959,447 and 894,158 SSR sequences were detected in the genomes of female and male, respectively. The lengths of the assembled mitochondrial genome sequences were 19,755 bp for female and 19,754 bp for male, each containing 38 genes. Among these mitochondrial sequences, 13 protein-coding genes were identified, including 7 NADH dehydrogenase, 3 cytochrome c oxidase, 1 cytochrome b, and 2 ATP synthase genes. Both sequences contained 23 tRNA genes and 2 rRNA genes. This study provides a theoretical basis for constructing a high-quality whole genome of <italic>H. analis</italic> and valuable data for subsequent molecular breeding research.</p>
</abstract>
<kwd-group>
<kwd>
<italic>Hapalogenys analis</italic>
</kwd>
<kwd>genome survey</kwd>
<kwd>genomic characteristics</kwd>
<kwd>genome assembly</kwd>
<kwd>genomic comparison</kwd>
</kwd-group>
<counts>
<fig-count count="3"/>
<table-count count="5"/>
<equation-count count="0"/>
<ref-count count="40"/>
<page-count count="7"/>
<word-count count="3171"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Marine Molecular Biology and Ecology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>
<italic>Hapalogenys analis</italic> <xref ref-type="bibr" rid="B27">Richardson (1844)</xref>, belongs to the order Perciformes, the family Pomadasyidae, and the genus <italic>Hapalogenys</italic>. It is widely distributed in the coastal waters of China and is an economically important temperate and tropical nearshore marine fish (<xref ref-type="bibr" rid="B39">Zheng et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B30">Sun et&#xa0;al., 2023</xref>). This species prefers to inhabit rocky reef areas at a depth of 30-50 meters. It feeds on small fish, crustaceans, and mollusks. Its flesh is tender and flavorful, with high nutritional value, making it a species with great potential for aquaculture (<xref ref-type="bibr" rid="B20">Mohapatra et&#xa0;al., 2013</xref>). In recent years, due to the overexploitation of fishery resources and the intensification of environmental pollution, the wild populations of <italic>H. analis</italic> have sharply declined. Protecting and sustainably utilizing these resources have become urgent issues that must be addressed. The species&#x2019; euryhaline and cold-tolerant characteristics make it particularly suitable for artificial breeding and stock enhancement to restore resources. However, the genomic differences between male and female individuals of this species have not been systematically analyzed, severely hindering its artificial breeding development. Therefore, analyzing the genomic characteristics of male and female <italic>H. analis</italic> and gaining an in-depth understanding of their genetic structure and gender differences are crucial. This analysis can provide genomic resource data for molecular breeding efforts.</p>
<p>With the rapid development of molecular biology techniques, sequencing technologies have continuously advanced while costs have decreased. Whole-genome sequencing has become a standard method in biological research. Simplified genome sequencing based on second-generation sequencing technologies has been widely applied (<xref ref-type="bibr" rid="B25">Raffini et&#xa0;al., 2017</xref>). Genomic sequencing technology provides a powerful tool for uncovering the genetic background, sex differences, and adaptive evolution of species. Through genome survey sequencing, the genomic structure of a species can be analyzed, revealing functional genes and their regulatory mechanisms. This provides a crucial foundation for species conservation, breeding, and resource management (<xref ref-type="bibr" rid="B11">Goodwin et&#xa0;al., 2017</xref>). Research on genomic differences between male and female individuals is vital for understanding sex-related traits and reproductive mechanisms. The <italic>H. analis</italic> exhibits significant sexual dimorphism, with males and females showing notable differences in growth rate, body structure, and reproductive capacity. These sex differences are significant for biological research and provide new insights for aquaculture and management. However, there have been few reports on genomic research on <italic>H. analis</italic>. For example, <xref ref-type="bibr" rid="B39">Zheng et&#xa0;al. (2020)</xref> obtained the complete mitochondrial genome of this species using whole genome sequencing technology, and <xref ref-type="bibr" rid="B30">Sun et&#xa0;al. (2023)</xref> studied its population structure. This has somewhat deepened the understanding of the species at the genomic level.</p>
<p>Additionally, genome assembly based on next-generation sequencing (NGS) technology can significantly improve the integrity and continuity of the genome, facilitating more accurate analysis of genome structure and function (<xref ref-type="bibr" rid="B19">Miller et&#xa0;al., 2010</xref>). As an efficient molecular marker tool, the development and analysis of simple sequence repeat (SSR) markers are widely used in genetic diversity assessment, population structure analysis, and breeding research (<xref ref-type="bibr" rid="B32">Vieira et&#xa0;al., 2016</xref>). Meanwhile, the annotation and analysis of mitochondrial genomes also play an essential role in understanding species&#x2019; evolutionary history, phylogeny, and population dynamics (<xref ref-type="bibr" rid="B2">Boore, 1999</xref>). In recent years, remarkable progress has been made in the genomic sequencing of male and female fish. Researchers have utilized high-throughput sequencing technology to perform genomic sequencing on various economically important fish species and have analyzed their sex-related genes, including <italic>Nothobranchius furzeri</italic> (<xref ref-type="bibr" rid="B26">Reichwald et&#xa0;al., 2015</xref>), <italic>Danio rerio</italic> (<xref ref-type="bibr" rid="B34">Wilson et&#xa0;al., 2014</xref>), <italic>Salmo salar</italic> L. (<xref ref-type="bibr" rid="B31">Timmerhaus et&#xa0;al., 2011</xref>) and <italic>Thunnus alalunga</italic> (<xref ref-type="bibr" rid="B21">Montes et&#xa0;al., 2012</xref>). These studies provide important genomic data and analytical tools for understanding gender differences and evolution in fish.</p>
<p>This study aims to conduct genome survey sequencing of male and female individuals of <italic>H. analis</italic>, perform genome assembly using NGS technology, conduct SSR analysis, and annotate the mitochondrial genome. Specific objectives include constructing genomic drafts of male and female <italic>H. analis</italic> individuals, analyzing genome size, GC content, repetitive sequences, and genome integrity, providing a preliminary description of the genomic characteristics of male and female individuals. This study will establish foundational data for research on the genomic characteristics, genetic resource development, and conservation management of <italic>H. analis</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>Sample collection, DNA extraction and genome sequencing</title>
<p>The two <italic>H. analis</italic> samples (1 female and 1 male) used for genome survey sequencing were collected from the Zhoushan sea area in Zhejiang. Samples were cryopreserved and transported to the Marine Fishery Resource and Biodiversity Laboratory of Zhejiang Ocean University. Approximately 1&#xa0;g of muscle tissue was extracted from each sample for DNA extraction.</p>
<p>The phenol/Chloroform extraction method was used to extract the DNA from muscle tissue (<xref ref-type="bibr" rid="B28">Sambrook et&#xa0;al., 1982</xref>). The extracted DNA concentration was assessed using NanoDrop 2000 (Thermo Fisher Scientific Inc, USA) and verified through 1% agarose gel electrophoresis. After ultrasonic fragmentation, libraries were constructed with insert fragment sizes of approximately 350 bp for sequencing (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S1</bold>
</xref>). All libraries were sequenced on the Illumina NovaSeq 6000 platform according to the manufacturer&#x2032;s protocol.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Data quality control and genome survey analysis</title>
<p>We utilized FASTP (V0.23.2) (<xref ref-type="bibr" rid="B6">Chen et&#xa0;al., 2018</xref>) with default parameters for raw data filtering and quality control, resulting in the acquisition of clean data. Following the step, high-quality data of 82.26 Gb for female and 81.13 Gb for male (averaging 139.6&#xd7; and 137.0&#xd7; coverage of the genome for female and male, respectively) were retained for further analysis. Metrics such as quality values Q20 and Q30, along with GC content, were calculated to assess sequencing quality. GCE (V1.0.0) (<xref ref-type="bibr" rid="B16">Liu et&#xa0;al., 2013</xref>) was used to estimate each sample&#x2019;s genome characteristics, with a K-mer size of 17. The outcomes of the K-mer analysis were leveraged to estimate genome size, heterozygosity, and repeat ratio. The algorithm used for determining genome size is as follows: genome size = K-mer_num/peak_depth, where K-mer_num represents the total number of K-mers, and peak_depth is the expected value of the K-mer depth.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Genome assembly, evaluation and SSR identification</title>
<p>SOAPdenovo2 (Vr240) (<xref ref-type="bibr" rid="B17">Luo et&#xa0;al., 2012</xref>) was employed to assemble the clean reads into distinct contigs individually. The assembly genome sequences were evaluated by Quast (V5.0.2) (<xref ref-type="bibr" rid="B12">Gurevich et&#xa0;al., 2013</xref>). Simultaneously, the conserved gene sequences of each genome were identified. Potential microsatellite motifs were identified using the Perl script &#x201c;misa.pl&#x201d; from the MISA software (<xref ref-type="bibr" rid="B1">Beier et&#xa0;al., 2017</xref>). The minimum number of SSR repeats for dinucleotide, trinucleotide, tetranucleotide, pentanucleotide, and hexanucleotide microsatellite motifs with 6, 5, 5, 5, 5, respectively.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Genomic survey sequencing of male and female <italic>H. analis</italic>
</title>
<p>After quality control and filtering of raw data, sequencing data of 82.26 Gb and 81.13 Gb were obtained from the libraries of female and male <italic>H. analis</italic>, respectively. All samples&#x2019; Q20 and Q30 values were higher than 97.93% and 94.52%, respectively, indicating an exceptionally high overall sequencing quality (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). Then, we used the Basic Local Alignment Search Tool (BLAST), random 10,000 single-end reads from the libraries of male and female fish were compared with the Nucleotide Sequence Database of the National Center for Biotechnology Information (NCBI), revealing no significant exogenous contamination in the reads (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Tables S1</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>S2</bold>
</xref>).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Statistics of <italic>Hapalogenys analis</italic> genome survey sequencing data.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="center">Library Name</th>
<th valign="top" align="center">Read Number</th>
<th valign="top" align="center">Base Count (Gb)</th>
<th valign="middle" align="center">Q20 (%)</th>
<th valign="middle" align="center">Q30 (%)</th>
<th valign="top" align="center">GC Content (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">Female</td>
<td valign="middle" align="center">553,160,370</td>
<td valign="middle" align="center">82.26</td>
<td valign="middle" align="center">97.93</td>
<td valign="middle" align="center">94.52</td>
<td valign="middle" align="center">41.04</td>
</tr>
<tr>
<td valign="middle" align="center">Male</td>
<td valign="middle" align="center">546,251,002</td>
<td valign="middle" align="center">81.13</td>
<td valign="middle" align="center">97.94</td>
<td valign="middle" align="center">94.56</td>
<td valign="middle" align="center">41.20</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Genomic K-mer analysis</title>
<p>We conducted K-mer (K=17) analysis on the sequencing data to evaluate the genome size, heterozygosity, and proportion of repetitive sequences in different samples. The genome survey results showed a main peak for females at a depth of 50 (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1A</bold>
</xref>) and for males at 73 (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1B</bold>
</xref>). After excluding K-mers with abnormal depths, there were a total of 36,208,181,592 K-mers used to estimate the genome length of females, and a total of 36,004,575,975 K-mers used to estimate the genome length of males. All samples were diploid, with the genome size of female dotted gudgeon was 436.24 Mb, heterozygosity was 0.58%, and proportion of repetitive sequence was 42.95%. The genome survey results for male showed that after excluding K-mers with abnormal depths, the genome size of male dotted gudgeon was 493.21 Mb, heterozygosity was 0.23%, and proportion of repetitive sequence was 51.20% (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). This implies significant diversity in adequate population size among these fish under natural conditions.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Distribution of K-mer (K=17) depth and frequency of female and male <italic>Hapalogenys analis</italic>: <bold>(A)</bold> Female <italic>Hapalogenys analis</italic>; <bold>(B)</bold> Male <italic>Hapalogenys analis</italic>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-11-1492138-g001.tif"/>
</fig>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>The statistical information of K-mer-based genome survey result.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Sample</th>
<th valign="middle" align="center">K-mer Number</th>
<th valign="middle" align="center">K-mer Depth</th>
<th valign="middle" align="center">Genome Size (bp)</th>
<th valign="middle" align="center">Revised Genome Size (bp)</th>
<th valign="middle" align="center">Heterozygous Ratio (%)</th>
<th valign="middle" align="center">Repeat (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">Female</td>
<td valign="middle" align="center">36,208,181,592</td>
<td valign="middle" align="center">83</td>
<td valign="middle" align="center">436,243,164</td>
<td valign="middle" align="center">428,635,353</td>
<td valign="middle" align="center">0.58</td>
<td valign="middle" align="center">42.95</td>
</tr>
<tr>
<td valign="middle" align="center">Male</td>
<td valign="middle" align="center">36,004,575,975</td>
<td valign="middle" align="center">73</td>
<td valign="middle" align="center">493,213,370</td>
<td valign="middle" align="center">484,473,440</td>
<td valign="middle" align="center">0.23</td>
<td valign="middle" align="center">51.20</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Genomic assembly and estimation</title>
<p>We used SOAPdenovo2 software to perform <italic>de novo</italic> genome assembly on the NGS data of male and female <italic>H. analis</italic>. The total length of contigs for females was 589.18 Mb, with a contig N50 of 3,135 bp, a maximum sequence length of 49,858 bp, and a genome GC content of 43.30%. The total length of contigs for males was 592.02 Mb, with a contig N50 of 3,041 bp, a maximum sequence length of 56,240 bp, and a genome GC content of 43.20% (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>).</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Features of assembled <italic>Hapalogenys analis</italic> genomes.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Sex</th>
<th valign="middle" align="center">Total Length (bp)</th>
<th valign="middle" align="center">Total Nnumber</th>
<th valign="middle" align="center">Total Number<break/>(&gt;= 2 kb)</th>
<th valign="middle" align="center">Max<break/>Length(bp)</th>
<th valign="middle" align="center">N50 (bp)</th>
<th valign="middle" align="center">N90 (bp)</th>
<th valign="middle" align="center">GC Content (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">Female</td>
<td valign="middle" align="center">589,180,756</td>
<td valign="middle" align="center">1,263,020</td>
<td valign="middle" align="center">80,530</td>
<td valign="middle" align="center">49,858</td>
<td valign="middle" align="center">3,135</td>
<td valign="middle" align="center">154</td>
<td valign="middle" align="center">43.30</td>
</tr>
<tr>
<td valign="middle" align="center">Male</td>
<td valign="middle" align="center">592,021,119</td>
<td valign="middle" align="center">1,215,993</td>
<td valign="middle" align="center">80,395</td>
<td valign="middle" align="center">56,240</td>
<td valign="middle" align="center">3,041</td>
<td valign="middle" align="center">159</td>
<td valign="middle" align="center">43.20</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Identification and statistics of SSR molecular markers</title>
<p>Utilizing the assembled genome, we used the MISA software (<xref ref-type="bibr" rid="B1">Beier et&#xa0;al., 2017</xref>) to predict simple sequence repeats (SSRs). The predicted SSR counts for male and female <italic>H. analis</italic> were very close, with 959,447 and 894,158 SSRs, respectively (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>); the SSR distribution density showed extreme similarity between sexes, with 1628.44 Mb SSRs for females genome sequence, while for males it was 1510.35 Mb SSRs. In the SSR sequences of female fish, dinucleotide repeats were the most abundant (55.56%), followed by mononucleotide repeats (11.30%) (excluding complex repeat types, <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>). In the SSR sequences of male fish, dinucleotide repeats were the most abundant (54.94%), followed by mononucleotide repeats (12.14%) (excluding complex repeat types, <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>).</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Statistics of microsatellite recognition results.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Characteristics</th>
<th valign="middle" align="center">Female <italic>H. analis</italic>
</th>
<th valign="middle" align="center">Male <italic>H. analis</italic>
</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">Total number of sequences examined</td>
<td valign="middle" align="center">1,263,020</td>
<td valign="middle" align="center">1,215,993</td>
</tr>
<tr>
<td valign="middle" align="center">Total size of examined sequences (bp)</td>
<td valign="middle" align="center">589,180,756</td>
<td valign="middle" align="center">592,021,119</td>
</tr>
<tr>
<td valign="middle" align="center">Total number of identified SSRs</td>
<td valign="middle" align="center">959,447</td>
<td valign="middle" align="center">894,158</td>
</tr>
<tr>
<td valign="middle" align="center">Number of SSR containing sequences</td>
<td valign="middle" align="center">561,383</td>
<td valign="middle" align="center">513,498</td>
</tr>
<tr>
<td valign="middle" align="center">Number of sequences containing more than 1 SSR</td>
<td valign="middle" align="center">203,632</td>
<td valign="middle" align="center">190,948</td>
</tr>
<tr>
<td valign="middle" align="center">Number of SSRs present in compound formation</td>
<td valign="middle" align="center">192,950</td>
<td valign="middle" align="center">178,413</td>
</tr>
<tr>
<td valign="middle" align="center">Total number of sequences examined</td>
<td valign="middle" align="center">1,263,020</td>
<td valign="middle" align="center">1,215,993</td>
</tr>
<tr>
<td valign="middle" align="center">Total size of examined sequences (bp)</td>
<td valign="middle" align="center">589,180,756</td>
<td valign="middle" align="center">592,021,119</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>The frequency of simple sequence repeat (SSR) types in the female and male <italic>Hapalogenys analis</italic> genome survey. <bold>(A)</bold> Female <italic>Hapalogenys analis</italic>; <bold>(B)</bold> Male <italic>Hapalogenys analis</italic>. Note: P1 to P6 are SSRs with repeat unit lengths ranging from 1 to 6; c and c* are complex repeat types formed by mixing SSRs from P1 to P6.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-11-1492138-g002.tif"/>
</fig>
</sec>
<sec id="s3_5">
<label>3.5</label>
<title>Assembly and annotation of mitochondrial DNA genome</title>
<p>We used mitoz software (<xref ref-type="bibr" rid="B18">Meng et&#xa0;al., 2019</xref>) for the assembly and annotation of mitochondrial sequences. The assembled mitochondrial genome sequences of male and female <italic>H. analis</italic> were 19,755 and 19,754 bp in length, respectively. The mitochondrial genome contains 38 genes for each sex. Meanwhile, in these mitochondrial sequences, we identified 13 protein-coding genes comprising 7 NADH dehydrogenases, 3 cytochrome c oxidases, 1 cytochrome b, and 2 ATP synthases. The number of transfer RNA (tRNA) and ribosomal RNA (rRNA) genes were consistent in number in both sequences, with both sexes having 23 tRNA genes and 2 rRNA genes (<xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref>). The results of mitochondrial annotation circularization are shown in <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>.</p>
<table-wrap id="T5" position="float">
<label>Table&#xa0;5</label>
<caption>
<p>Statistics of mitochondrial genome assembly and annotations.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">sex</th>
<th valign="middle" align="center">Genome Length (bp)</th>
<th valign="middle" align="center">Contig Number</th>
<th valign="middle" align="center">Total Gene Number</th>
<th valign="middle" align="center">NADH<break/>Dehydrogenase</th>
<th valign="middle" align="center">Cytochrome<break/>C Oxidase</th>
<th valign="middle" align="center">Cytochrome<break/>B</th>
<th valign="middle" align="center">ATP<break/>Synthase</th>
<th valign="middle" align="center">Transfer<break/>RNAs</th>
<th valign="middle" align="center">Ribosomal<break/>RNAs</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">Female</td>
<td valign="middle" align="center">19,755</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">38</td>
<td valign="middle" align="center">7</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">23</td>
<td valign="middle" align="center">2</td>
</tr>
<tr>
<td valign="middle" align="center">Male</td>
<td valign="middle" align="center">19,754</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">38</td>
<td valign="middle" align="center">7</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">23</td>
<td valign="middle" align="center">2</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>The mitochondrial annotation circular map of female and male <italic>Hapalogenys analis</italic>. <bold>(A)</bold> Female <italic>Hapalogenys analis</italic>; <bold>(B)</bold> Male <italic>Hapalogenys analis</italic>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-11-1492138-g003.tif"/>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>This study utilized NGS technology to conduct a genome survey analysis of <italic>H. analis</italic>, obtaining data on genome size, heterozygosity, proportion of repetitive sequences, GC content, and mitochondrial genome assembly and annotation for both male and female. The study comprehensively understood the genomic differences between male and female <italic>H. analis</italic> through comparative analysis. There have been few reports on genomic studies of the genus <italic>Hapalogenys</italic>. For instance, <xref ref-type="bibr" rid="B15">Liang et&#xa0;al. (2012)</xref> and <xref ref-type="bibr" rid="B39">Zheng et&#xa0;al. (2020)</xref> conducted genomic sequencing analyses at the chromosomal level for <italic>H. nigripinnis</italic> and <italic>H. analis</italic>, respectively. Additionally, <xref ref-type="bibr" rid="B38">Zhang et&#xa0;al. (2024)</xref> explored the genetic evolution mechanisms of <italic>H. analis</italic> using double-digest restriction site-associated DNA sequencing (dd-RAD). Therefore, the present study is significant for the whole-genome assembly and analysis and the development of genetic breeding technologies for <italic>H. analis</italic>. Based on the K-mer analysis results, the genome sizes of female and male fish were 436.24 Mb and 493.21 Mb. Some polyploid fishes have undergone genome doubling or polyploid events, resulting in larger genomes and enhanced adaptability to their environments, such as <italic>Cyprinus carpio</italic>, its genome size was about 1.7 Gb (<xref ref-type="bibr" rid="B36">Xu et&#xa0;al., 2014</xref>). Researchers also have performed whole genome sequencing and comparative analyses of three species in the cyprinid genus <italic>Sinocyclocheilus</italic>, a cavefish model, the assembled genome sizes of <italic>S. grahami</italic>, <italic>S. rhinoce-rous</italic>, and <italic>S. anshuie-nsis</italic> were 1.75 Gb, 1.73 Gb, and 1.68 Gb, respectively (<xref ref-type="bibr" rid="B37">Yang et&#xa0;al., 2016</xref>). However, most reported fish genome sizes are less than 1.0 Gb. For instance, a species of the family Haemulidae, <italic>Haemulon aurolineatum</italic>, has been recorded that its assembled genome size was 954.6 Mb (<xref ref-type="bibr" rid="B24">Pedraza et&#xa0;al., 2024</xref>). Meanwhile, the genome sizes of <italic>Cynoglossus semilaevis</italic> (<xref ref-type="bibr" rid="B5">Chen et&#xa0;al., 2014</xref>) and <italic>Larimichthys crocea</italic> (<xref ref-type="bibr" rid="B35">Wu et&#xa0;al., 2014</xref>) were reported as 520.0 Mb and 728.0 Mb, respectively. All samples in this study aligned with this pattern. Meanwhile, the heterozygosity rates were 0.58% for females and 0.23% for males, the proportion of repetitive sequences of female and male fish were 42.95% and 51.20%. The higher heterozygosity in female fish genomes highlights the complex evolutionary mechanisms influenced by reproductive strategies, environmental adaptability, and selective pressures. In some fish species, the mechanisms of sex determination may affect genomic heterozygosity. For example, in species with temperature-dependent sex determination, females might need to exhibit greater adaptability to environmental changes, resulting in increased genomic heterozygosity (<xref ref-type="bibr" rid="B33">Wang, 2005</xref>). Additionally, females always experience stronger selective pressures, particularly regarding mate choice and competition within populations, which may further enhance the diversity of their genomes (<xref ref-type="bibr" rid="B22">Mousseau and Roff, 1987</xref>). This finding deepens our understanding of <italic>H. analis</italic> genomic evolution and provides a crucial theoretical foundation for future research in this area. GC content is a crucial sequencing metric that significantly impacts genome randomness (<xref ref-type="bibr" rid="B36">Xu et&#xa0;al., 2014</xref>). Another species of genus <italic>Hapalogenys</italic>, <italic>H. nigripinnis</italic> was reported that its GC content was about 43.84%, similar with our results (<xref ref-type="bibr" rid="B13">Ji et&#xa0;al., 2020</xref>). The GC content in male and female <italic>H. analis</italic> was 43.20% and 43.30%, respectively, indicating a moderate level within the normal range (<xref ref-type="bibr" rid="B40">Zhou et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B4">Chen et&#xa0;al., 2020</xref>). Overall, considering the genome size, heterozygosity, repetitive sequence proportion, and GC content, the genome of <italic>H. analis</italic> is relatively simple, making it suitable for comprehensive whole-genome sequencing studies.</p>
<p>A large body of research shows that SSR are widely distributed in eukaryotic genomes and can exhibit polymorphism at both individual and population levels (<xref ref-type="bibr" rid="B14">Li et&#xa0;al., 2002</xref>; <xref ref-type="bibr" rid="B8">Ellegren, 2004</xref>; <xref ref-type="bibr" rid="B10">Gadgil et&#xa0;al., 2017</xref>). Short nucleotide repeat sequences are more abundant in most genomes than long ones. In this study, as the number of nucleotide repeat sequences increased, the quantity of all SSR sequences rapidly decreased. Among them, dinucleotide repeat sequences were the most abundant (female 719,060, male 662,242), while hexanucleotide repeat sequences were the least abundant (female 8,106, male 7,776). We speculate that this phenomenon may be related to the specific structure and function of the genome. Dinucleotide repeat sequences (such as AT/TA, AG/CT) are generally more common, possibly because they occur relatively easily in the genome and may not significantly affect gene function, thus they are more abundant in quantity (<xref ref-type="bibr" rid="B23">Neff and Gross, 2001</xref>). In contrast, hexanucleotide repeat sequences (such as ATAGAT, AGATCT) may be less abundant due to their longer length, making them more prone to mutations or selectively reduced in the genome. Specific reasons may also involve genome structural stability, mismatch repair mechanisms during replication, and the role of natural selection. Genetic diversity and adaptability among different fish populations may also influence the abundance and distribution of different nucleotide repeat sequences. Overall, male and female <italic>H. analis</italic> genomes show high similarity in SSR types and quantities.</p>
<p>
<xref ref-type="bibr" rid="B39">Zheng et&#xa0;al. (2020)</xref> obtained the complete mitochondrial genome of <italic>H. analis</italic>, excluding the control region, using whole-genome sequencing technology. This study identified 2 additional tRNA genes in both male and female in the newly assembled sequences. The evolution of fish in various ecological environments may induce changes in the number of tRNA genes, allowing them to adapt to specific physiological needs and metabolic processes. For instance, certain fish may need higher translation efficiency in their environments, driving the expansion of tRNA genes (<xref ref-type="bibr" rid="B9">Fiteha and Magdy, 2022</xref>). Additionally, gene duplication or loss can also contribute to variations in gene numbers. These phenomena may stem from genomic instability or selective pressures associated with adaptation (<xref ref-type="bibr" rid="B29">Santos and Del-Bem, 2022</xref>). Furthermore, mitochondrial annotation further refined the functional gene and provided insights into the genomic structure of this species. These findings establish a molecular research foundation for the evolution, breeding, and taxonomy studies of <italic>H. analis</italic> and related species.</p>
</sec>
<sec id="s5" sec-type="conclusion">
<label>5</label>
<title>Conclusion</title>
<p>In summary, we conducted a genome survey analysis of <italic>H. analis</italic>, obtaining data on genome size, heterozygosity, proportion of repetitive sequences, GC content, and mitochondrial genome assembly and annotation for both male and female. These results are conducive to subsequent high-quality genome assembly, providing necessary genomic resources for <italic>H. analis</italic> research.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The raw sequence data reported in this paper have been deposited in the Genome Sequence Archive (<xref ref-type="bibr" rid="B3">Chen et&#xa0;al., 2021</xref>) of the National Genomics Data Center (<xref ref-type="bibr" rid="B7">CNCB-NGDC Members and Partners, 2023</xref>), China National Center for Bioinformation/Beijing Institute of Genomics, Chinese Academy of Sciences (GSA: CRA020131) that are publicly accessible at <uri xlink:href="https://ngdc.cncb.ac.cn/gsa">https://ngdc.cncb.ac.cn/gsa</uri>.</p>
</sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The animal study was approved by Animal Care and Use Ethics policies of Zhejiang Ocean 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>KL: Data curation, Formal Analysis, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. Y-QQ: Writing &#x2013; review &amp; editing. H-LS: Writing &#x2013; review &amp; editing. H-LP: Writing &#x2013; review &amp; editing. T-XG: Conceptualization, Funding acquisition, Methodology, Writing &#x2013; review &amp; editing.</p>
</sec>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This research was funded by grants from the National Key Research and Development Program of China (2023YFD2401903), the Zhejiang Provincial Natural Science Foundation of China (LTGN24C190010).</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>We sincerely thank the reviewers for their insightful comments to improve the manuscript.</p>
</ack>
<sec id="s10" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s11" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s12" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fmars.2024.1492138/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fmars.2024.1492138/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
</sec>
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