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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.2022.894821</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>Chromosome-Level Genome Assembly of <italic>Acanthogobius ommaturus</italic> Provides Insights Into Evolution and Lipid Metabolism</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Pan</surname>
<given-names>Yu</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1360128"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Sun</surname>
<given-names>Zhicheng</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1717653"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Gao</surname>
<given-names>Tianxiang</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/766262"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Zhao</surname>
<given-names>Linlin</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/1563822"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Song</surname>
<given-names>Na</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1432407"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>The Key Laboratory of Mariculture (Ocean University of China), Ministry of Education</institution>, <addr-line>Qingdao</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Fishery College, Zhejiang Ocean University</institution>, <addr-line>Zhoushan</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Key Laboratory of Marine Eco-Environmental Science and Technology, First Institute of Oceanography, Ministry of Natural Resources</institution>, <addr-line>Qingdao</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Taewoo Ryu, Okinawa Institute of Science and Technology Graduate University, Japan</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Xinhui Zhang, Beijing Genomics Institute (BGI), China; Qiong Shi, Beijing Genomics Institute (BGI), China</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Linlin Zhao, <email xlink:href="mailto:zhaolinlin@fio.org.cn">zhaolinlin@fio.org.cn</email>; Na Song, <email xlink:href="mailto:songna624@163.com">songna624@163.com</email>
</p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Marine Molecular Biology and Ecology, a section of the journal Frontiers in Marine Science</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>18</day>
<month>05</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>9</volume>
<elocation-id>894821</elocation-id>
<history>
<date date-type="received">
<day>12</day>
<month>03</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>14</day>
<month>04</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Pan, Sun, Gao, Zhao and Song</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Pan, Sun, Gao, Zhao and Song</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>
<italic>Acanthogobius ommaturus</italic> is a large, fast-growing annual fish widely distributed in coastal and estuarine areas. The adults will die after breeding, and its life cycle is only 1 year. The first chromosome-level genome assembly of <italic>A. ommaturus</italic> was obtained by PacBio and Hi-C sequencing in this study. The final genome assembly after Hi-C correction was 921.49 Mb, with contig N50 and scaffold N50 values of 15.70 Mb and 40.99 Mb, respectively. The assembled sequences were anchored to 22 chromosomes by using Hi-C data. A total of 18,752 protein-coding genes were predicted, 97.90% of which were successfully annotated. Benchmarking Universal Single-Copy Orthologs (BUSCO) assessment results for genome and gene annotations were 93.6% and 84.6%, respectively. <italic>A. ommaturus</italic> is phylogenetically closely related to <italic>Periophthalmodon magnuspinnatus</italic> and <italic>Boleophthalmus pectinirostris</italic>, diverging approximately 31.9 MYA with the two goby species. The <italic>A. ommaturus</italic> genome displayed 597 expanded and 3,094 contracted gene families compared with the common ancestor. A total of 1,155 positive selected genes (PSGs) (<italic>p</italic> &lt; 0.05) were identified. Based on comparative genomic analyses, we obtained several expanded genes such as <italic>acsbg2</italic>, <italic>lrp1</italic>, <italic>lrp6</italic>, and <italic>znf638</italic> involved in lipid metabolism. A total of twenty candidate genes were identified under positive selection, which associated with lifespan including <italic>ercc6</italic>, <italic>igf1</italic>, <italic>polg</italic>, and <italic>tert</italic>. Interspecific collinearity analysis showed a high genomic synteny between <italic>A. ommaturus</italic> and <italic>P. magnuspinnatus</italic>. The effective population size of <italic>A. ommaturus</italic> decreased drastically during 200&#x2013;100 Ka because of Guxiang ice age and then increased gradually following warm periods. This study provides pivotal genetic resources for in-depth biological and evolutionary studies, and underlies the molecular basis for lipid metabolism.</p>
</abstract>
<kwd-group>
<kwd>
<italic>Acanthogobius ommaturus</italic>
</kwd>
<kwd>genome sequencing</kwd>
<kwd>chromosomal assembly</kwd>
<kwd>comparative genomics</kwd>
<kwd>PSMC (pairwise sequentially Markovian coalescent) analysis</kwd>
</kwd-group>
<counts>
<fig-count count="4"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="102"/>
<page-count count="12"/>
<word-count count="6111"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>The Gobiidae is the largest family of marine fishes, which consists of more than 200 genera and nearly 2,000 species, and is characterized by wide distribution, high diversity, and strong adaptability (<xref ref-type="bibr" rid="B89">Tassell, 2011</xref>). <italic>Acanthogobius ommaturus</italic> is a large, demersal, and fast-growing annual fish in the family of Gobiidae, which is widely distributed in coastal waters or brackish waters of the Northwest Pacific Ocean surrounding China, Korea, Japan, and Indonesia (<xref ref-type="bibr" rid="B96">Wu and Zhong, 2008</xref>). Individuals of this species grow rapidly, and have a nearly linear growth curve in the first 6 months during the year of its life cycle, and then the growth rate slows down. The standard length and body weight will continue to increase for spawning by the next April, after which the parents die (<xref ref-type="bibr" rid="B92">Wang et&#xa0;al., 2011</xref>). Studies have shown that annual fish species usually have rapid growth and sexual maturation to maximize reproduction (<xref ref-type="bibr" rid="B52">Lan&#xe9;s et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B51">Lan&#xe9;s et&#xa0;al., 2016</xref>). Annual fish, whether male or female, need to invest a large amount of energy for reproduction (<xref ref-type="bibr" rid="B8">Berois et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B32">Godoy et&#xa0;al., 2019</xref>). The body weight of <italic>A. ommaturus</italic> can reach more than 450 g in 1 year (<xref ref-type="bibr" rid="B19">Chen, 1978</xref>), which is completely rare in annual fish (<xref ref-type="bibr" rid="B47">Jakub et&#xa0;al., 2021</xref>). This suggests that the species has a strong growth potential and energy storage capacity. In addition, as a demersal fish inhabiting coastal region and estuaries, <italic>A. ommaturus</italic> often faces environmental changes, such as light, temperature, salinity, and other factors. To cope with complex and changing living environments, <italic>A. ommaturus</italic> needs to store energy and allocate energy reasonably. However, the energy metabolism or storage of <italic>A. ommaturus</italic>, especially in molecular level, has not been well studied.</p>
<p>Lipids with their constituent fatty acids (FAs) and proteins are the major organic constituents in fish, while carbohydrates are much less abundant in fish. Actually, the protein content is much less than the lipid content, which reflects that lipids are usually the major source of metabolism energy in fish for growth, reproduction, and movement (<xref ref-type="bibr" rid="B90">Tocher, 2003</xref>). Notably, FAs are an important composition of lipids, participating in a wide variety of metabolic pathways (<xref ref-type="bibr" rid="B95">Watkins et&#xa0;al., 2007</xref>). NADPH (nicotinamide adenine dinucleotide phosphate) produced by the FA oxidation can provide metabolism energy in the form of ATP through the oxidation phosphorylation process (<xref ref-type="bibr" rid="B29">FrOyland, 2015</xref>). The capelin, herring, and salmonids prove that FAs are the preferred source of metabolic energy (<xref ref-type="bibr" rid="B40">Henderson et&#xa0;al., 1984a</xref>; <xref ref-type="bibr" rid="B41">Henderson et&#xa0;al., 1984b</xref>; <xref ref-type="bibr" rid="B39">Henderson and Almatar, 1989</xref>; <xref ref-type="bibr" rid="B90">Tocher, 2003</xref>). Lipid homeostasis is the balance between lipid uptake, storage, biosynthesis, transportation, metabolism, and catabolism (<xref ref-type="bibr" rid="B90">Tocher, 2003</xref>), which plays an important role in maintaining normal life activities of fish. The lipids are only stored in the liver in the majority of gobiids (<xref ref-type="bibr" rid="B1">Akiyoshi and Inoue, 2004</xref>; <xref ref-type="bibr" rid="B23">Cuevas et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B63">Louiz et&#xa0;al., 2018</xref>), and gobies can maintain a lifelong high level of fat storage without pathological changes caused by abnormal lipid metabolism, suggesting that there may be a special mechanism to maintain lipid homeostasis in these fishes. Hence, elucidating the lipid metabolism of <italic>A. ommaturus</italic> is of great value for understanding the evolution of energy metabolism in teleost and the pathogenesis of abnormal lipid metabolism.</p>
<p>A high-quality, complete, and contiguous genome is essential to analyze the biological characteristics of ecology and evolution (<xref ref-type="bibr" rid="B76">Ravi and Venkatesh, 2018</xref>; <xref ref-type="bibr" rid="B10">Bian et&#xa0;al., 2019</xref>). Examples are sex-determination mechanisms (<xref ref-type="bibr" rid="B17">Cai et&#xa0;al., 2021</xref>), loss of pelvic fin (<xref ref-type="bibr" rid="B58">Lin et&#xa0;al., 2016</xref>), loss of adaptive immunity (<xref ref-type="bibr" rid="B82">Star et&#xa0;al., 2011</xref>), and genome compaction (<xref ref-type="bibr" rid="B3">Aparicio et&#xa0;al., 2002</xref>). Although many fish genome data were previously released at NCBI, most of them were assembled based on short reads with limited contiguity and quality. Compared to second-generation sequencing technologies, third-generation sequencing technologies, such as PacBio (Pacific Biosciences, Menlo Park, CA, USA) and Nanopore (ONT, Oxford, UK), can produce long reads and avoid many gaps (<xref ref-type="bibr" rid="B30">Ge et&#xa0;al., 2019</xref>). These long-read assembly approaches can improve contiguity and span repetitive regions, which provides a path forward for genome assembly at a high level (<xref ref-type="bibr" rid="B34">Gordon et&#xa0;al., 2016</xref>). Additionally, the high-throughput chromosome conformation capture (Hi-C)-assisted genome assembly technique has been used to assemble chromosome-level genome for many fishes, such as <italic>Epinephelus lanceolatus</italic> (<xref ref-type="bibr" rid="B102">Zhou et&#xa0;al., 2019</xref>), <italic>Oplegnathus fasciatus</italic> (<xref ref-type="bibr" rid="B97">Xiao et&#xa0;al., 2019</xref>), <italic>Lota lota</italic> (<xref ref-type="bibr" rid="B36">Han et&#xa0;al., 2021</xref>), <italic>Micropterus salmoides</italic> (<xref ref-type="bibr" rid="B84">Sun C. et al., 2021</xref>), and <italic>Mugilogobius chulae</italic> (<xref ref-type="bibr" rid="B17">Cai et&#xa0;al., 2021</xref>).</p>
<p>The high-quality complete genomes of fish have proliferated in recent years. Gobies are an important group in the ecosystem as the bait of many fish, and are one of the most diverse families of vertebrates on earth (<xref ref-type="bibr" rid="B89">Tassell, 2011</xref>). Unfortunately, little genomic information on gobies is available, and only a few goby genomes reach chromosomal level. In this study, the chromosome-level genome assembly of <italic>A. ommaturus</italic> was constructed by combining Illumina short reads, Pacbio long reads, and Hi-C sequencing data, and its phylogenic relationships with other fishes were elucidated by comparative genome analysis. Based on genome data, we aimed to identify the lipid metabolism and candidate aging genes. This work may provide important resources to study the mapping of traits with economic importance, evolutionary position, and it provides an accurate reference sequence for related species.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec id="s2_1">
<title>Ethics Statement</title>
<p>All animal experiments were conducted in accordance with the guidelines and approval of the respective Animal Research and Ethics Committees of Ocean University of China. In addition, frost anesthesia was used to minimize the suffering of <italic>A. ommaturus</italic> specimens.</p>
</sec>
<sec id="s2_2">
<title>Genomic DNA Extraction</title>
<p>One male <italic>A. ommaturus</italic> fish (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1A</bold>
</xref>) was sampled in October 2020 from offshore of Qingdao, China with a body weight of 142.10 g and a body length of 26.70 cm. Fresh muscle was collected and quickly frozen in liquid nitrogen before storage at &#x2212;80&#xb0;. Total genomic DNA was extracted from fresh muscle of <italic>A. ommaturus</italic> with the standard phenol/chloroform method (Sambrock and Russel, 2001). The extracted DNA was measured using a Nanodrop 2000 (Thermo Scientific, USA) and a Qubit 2.0 (Invitrogen, USA) bioanalyzer system.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>The genome assembly and circos atlas of <italic>A. ommaturus</italic>. <bold>(A)</bold> The figure of <italic>A. ommaturus</italic>. <bold>(B)</bold> BUSCO analysis result of the <italic>A. ommaturus</italic> genome. <bold>(C)</bold> Statistics of the Hi-C assembly of the <italic>A. ommaturus</italic> genome. <bold>(D)</bold> Genome characteristics of <italic>A. ommaturus</italic>. From the outer circle to the inner circle: (a) chromosome length; (b) distribution of gene density; (c) distribution of repetitive elements; (d) distribution of genomic GC content. The innermost syntenic blocks are connected with blue lines.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-09-894821-g001.tif"/>
</fig>
</sec>
<sec id="s2_3">
<title>Library Construction and Sequencing</title>
<p>The Illumina sequencing libraries were prepared to estimate the genome size and correct the genome assembly. The paired-end library with an insert size of 350 was prepared using the Illumina Truseq Nano DNA Library Prep Kit (Illumina, United States) and then sequenced by the Illumina NovaSeq-6000 platform using 2 &#xd7; 150 bp in paired-end mode. To obtain the clean reads, the reads with more than 10% N bases or low-quality bases &#x2264; 5, adapter sequences, and duplicated sequences were discarded. The clean reads were used for subsequent analysis.</p>
<p>An SMRTbell library with a fragment size of 20 kb was constructed for long-read sequencing by an SMRTbell Express Template Prep Kit (PacBio). PacBio Sequel II system was used to sequence the library to generate the data from the SMRT cell.</p>
<p>To obtain a chromosome-level genome assembly, the muscle tissue of <italic>A. ommaturus</italic> was used for Hi-C library construction. The method of <xref ref-type="bibr" rid="B75">Rao et&#xa0;al. (2014)</xref> was followed for library preparation. High-quality Hi-C fragment libraries were sequenced for the Illumina NovaSeq-6000 platform.</p>
</sec>
<sec id="s2_4">
<title>Genome Size Estimation and Genome Assembling</title>
<p>K-mer analysis was used to estimate the genome size, heterozygosity, and repeat content of <italic>A. ommaturus</italic>. The&#xa0;Jellyfish approach (<xref ref-type="bibr" rid="B67">Mar&#xe7;ais and Kingsford, 2011</xref>) was used to obtain the k-mer depth distribution and the peak depth from the distribution from Jellyfish. The genome size estimation formula was applied: G = k-mer_number/k-mer_depth, where G is genome size, k-mer_number is total numbers of k-mers, and kmer_depth is peak depth. SOAPdenovo (<xref ref-type="bibr" rid="B57">Li et&#xa0;al., 2009</xref>) was applied for <italic>de novo</italic> pre-assembly of the <italic>A. ommaturus</italic> genome. The <italic>A. ommaturus</italic> genome was assembled by Next Denove package v2.3.1 (<uri xlink:href="https://github.com/Nextomics/NextDenovo">https://github.com/Nextomics/NextDenovo</uri>) with PacBio long reads. After the primary assembly, we applied the Illumina paired-end reads to polish the assembled genome by operating NextPolish v1.5 (<xref ref-type="bibr" rid="B45">Hu et&#xa0;al., 2020</xref>).</p>
</sec>
<sec id="s2_5">
<title>Hi-C Analysis and Chromosome Assembly</title>
<p>Hi-C clean reads were mapped to the draft genome with BWA v0.7.8 (<xref ref-type="bibr" rid="B55">Li and Durbin, 2009</xref>). ALLHIC v0.9.8 (<xref ref-type="bibr" rid="B101">Zhang et&#xa0;al., 2019</xref>) was applied to obtain the chromosomal-level genome assembly by using the corrected contigs. Genome completeness was estimated using Benchmarking Universal Single-Copy Orthologs (BUSCO v4.1.2, <xref ref-type="bibr" rid="B66">Manni et&#xa0;al., 2021</xref>) and Core Eukaryotic Genes Mapping Approach (CEGMA v2.5, <xref ref-type="bibr" rid="B73">Parra et&#xa0;al., 2007</xref>). Small fragment library reads were selected and compared to assembling genomes using BWA v0.7.8 (<xref ref-type="bibr" rid="B55">Li and Durbin, 2009</xref>), and the comparison rate of reads, the extent of genome coverage, and the distribution of depth were counted to evaluate assembly integrity and sequencing uniformity. Samtools v0.1.19 (<xref ref-type="bibr" rid="B57">Li et&#xa0;al., 2009</xref>) was used to process BWA results by chromosome coordinate sequencing and removing repetitive reads and then calculating the genome heterozygous and homologous SNP ratio.</p>
</sec>
<sec id="s2_6">
<title>Repeat Annotation</title>
<p>Repeated sequence annotation was obtained based on homology alignment and <italic>de novo</italic> prediction approaches. Tandem repeat was extracted using TRF v4.07b (<xref ref-type="bibr" rid="B7">Benson, 1999</xref>) by <italic>ab initio</italic> prediction. The homolog prediction used the Repbase (<xref ref-type="bibr" rid="B6">Bao et&#xa0;al., 2015</xref>) database employing RepeatMasker v4.0.5 (<xref ref-type="bibr" rid="B20">Chen, 2004</xref>) and RepeatProteinMask v4.0.5 (<xref ref-type="bibr" rid="B88">Tarailo-Graovac and Chen, 2009</xref>) to extract repeat regions. RepeatModeler v1.0.8 (<xref ref-type="bibr" rid="B88">Tarailo-Graovac and Chen, 2009</xref>), RepeatScout v1.0.5 (<uri xlink:href="http://www.repeatmasker.org/">http://www.repeatmasker.org/</uri>), and LTR_Finder v1.0.7 (<xref ref-type="bibr" rid="B98">Xu and Wang, 2007</xref>) were used for <italic>de novo</italic> identification of transposable elements (TEs). All TEs and repeats were combined into a repeat library, which was supplied for DNA-level repeat identification in the <italic>A. ommaturus</italic> genome.</p>
</sec>
<sec id="s2_7">
<title>Gene Prediction and Annotation</title>
<p>Gene structure prediction used a combination of <italic>de novo</italic> prediction, homology-based prediction, and transcriptome-based strategy (transcriptome data were downloaded from NCBI databases with accession numbers PRJNA725985, PRJNA628563, and PRJNA725983; the detailed information is shown in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;1</bold>
</xref>). Firstly, Augustus v3.2.3 (<xref ref-type="bibr" rid="B81">Stanke et&#xa0;al., 2006</xref>), GlimmerHMM v3.0.4 (<xref ref-type="bibr" rid="B65">Majoros et&#xa0;al., 2004</xref>), SNAP 2013-11-29 (<uri xlink:href="http://korflab.ucdavis.edu/software.html">http://korflab.ucdavis.edu/software.html</uri>), Geneid v1.4 (<xref ref-type="bibr" rid="B11">Blanco et&#xa0;al., 2007</xref>), and Genscan v1.0 (<xref ref-type="bibr" rid="B15">Burge and Karlin, 1997</xref>) were used for <italic>de novo</italic> predictions of genes. Secondly, TBLASTN (E-value &#x2264; 1e&#x2212;5) was used to align protein sequences from <italic>Boleophthalmus pectinirostris, Periophthalmus magnuspinnatus, Larimichthys crocea, Collichthys lucidus, Gasterosteus aculeatus</italic>, and <italic>Danio rerio</italic> (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;2</bold>
</xref>) to the assembled genome for homology-based prediction. Thirdly, transcriptomic data were aligned to the assembled genome sequences using TopHat v2.0.11 (<xref ref-type="bibr" rid="B49">Kim et&#xa0;al., 2013</xref>) to identify exon regions and splice positions. The alignment results were then used as input for Cufflinks v2.2.1 (<xref ref-type="bibr" rid="B31">Ghosh and Chan, 2016</xref>) for genome-based transcript assembly. The non-redundant reference gene set was generated by merging genes predicted by three methods with EVM v1.1.1 (<xref ref-type="bibr" rid="B35">Haas et&#xa0;al., 2008</xref>) using PASA (Program to Assemble Spliced Alignment) terminal exon support and including masked transposable elements as input into gene prediction.</p>
<p>The Gene Ontology (GO) IDs were assigned according to the corresponding InterPro entry. The Nr, Swissprot, Pfamily, and KEGG were used for the functional annotation and pathway information of protein-coding genes by using BLASTP v2.2.28 (E-value &#x2264; 1e-5) (<xref ref-type="bibr" rid="B68">McGinnis and Madden, 2004</xref>).</p>
<p>For non-coding RNA annotation, tRNAs were predicted using the program tRNAscan-SE v1.3.1 (<xref ref-type="bibr" rid="B64">Lowe and Chan, 2016</xref>) and rRNAs were predicted using Blast relative to the species&#x2019; rRNA sequence. Other ncRNAs, including miRNAs and snRNAs, were identified by searching against the Rfam database using the INFERNAL v1.1rc4 (<xref ref-type="bibr" rid="B72">Nawrocki and Eddy, 2013</xref>).</p>
</sec>
<sec id="s2_8">
<title>Comparative Genomic Analyses</title>
<p>The protein sequences of 14 species of teleost fish (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;2</bold>
</xref>) were downloaded from NCBI or Ensemble. The longest coding region transcript was selected from each gene locus. The genes that encode proteins with fewer than 50 amino acids were excluded. OrthoMCL v1.4 (<xref ref-type="bibr" rid="B59">Li et&#xa0;al., 2003</xref>) was used to construct the orthologous groups. The single-copy orthologous genes shared by all 15 species were aligned using MUSCLE v3.8.31 (<xref ref-type="bibr" rid="B27">Edgar, 2004</xref>), and alignment results were combined to form a super alignment matrix. We used RAXML v8.2.12 (<xref ref-type="bibr" rid="B80">Stamatakis, 2014</xref>) to construct a phylogenetic tree based on CDS (method: ML TREE; model: GTRGAMMA). The divergence time was estimated using memctree v4.9 of the PAML software package (<xref ref-type="bibr" rid="B99">Xu and Yang, 2013</xref>) and r8s v1.81 (<xref ref-type="bibr" rid="B78">Sanderson, 2003</xref>); the calibration time was selected from the TimeTree database (<xref ref-type="bibr" rid="B50">Kumar et&#xa0;al., 2017</xref>) and published articles. CAF&#xc9; v3.1 was used in gene family expansion and contraction analyses (<xref ref-type="bibr" rid="B25">De Bie et&#xa0;al., 2006</xref>); <italic>p</italic> &lt; 0.05 was used to screen out the significantly changed gene families. GO and KEGG were used to perform the enrichment of expanded and contracted gene families.</p>
<p>Positively selected genes (PSGs) in the <italic>A. ommaturus</italic> genome were detected using single-copy orthologous genes, in which <italic>A. ommaturus</italic> was used as a foreground branch, and <italic>D. rerio, Xiphias gladius, Seriola dorsalis</italic>, and <italic>Seriola dumerili</italic> were used as background branches. Muscle v3.8.31 (<xref ref-type="bibr" rid="B27">Edgar, 2004</xref>) was applied to perform multiple sequence alignment in positive selection analysis, and Gblocks (<xref ref-type="bibr" rid="B18">Castresana, 2000</xref>) was used to polish alignments. The branch-site model of the codeml program in PAML v4.9 (<xref ref-type="bibr" rid="B99">Xu and Yang, 2013</xref>) was applied to detect PSGs. The two-hypothesis likelihood ratio test was used to determine whether there was positive selection, rather than simply searching for genes with Ka/Ks &gt; 1. <italic>p-</italic>values were adjusted for multiple testing using the false discovery rate (FDR) method. Genes with FDR &lt; 0.05 were PSGs. Then, GO and KEGG enrichment were performed using Fisher&#x2019;s exact test with FDR &lt; 0.05. In addition, the candidate aging-related genes were identified by human and model organisms from GenAge and LongevityMap databases (<xref ref-type="bibr" rid="B26">de Magalh&#xe3;es et&#xa0;al., 2005</xref>). The <italic>tert</italic> gene associated with aging was selected for further analysis. The sequences of <italic>A. ommaturus</italic> (Ao), <italic>D. rerio</italic> (Dr), <italic>X. gladius</italic> (Xg), <italic>S. dorsalis</italic> (Sl), and <italic>S. dumerili</italic> (Sd) were obtained from this study. The sequences of <italic>Oryzias melastigma</italic> (Om, DQ286654), <italic>Oryzias latipes</italic> (Ol, DQ870623), and <italic>Epinephelus coioides</italic> (Ec, DQ317442) were downloaded from the NCBI database. The multiple sequences were aligned by ClustalX, and the conserved motif and domain regions were determined by MEME (<uri xlink:href="https://meme-suite.org/meme/">https://meme-suite.org/meme/</uri>) and SMART (<uri xlink:href="http://smart.embl-heidelberg.de/">http://smart.embl-heidelberg.de/</uri>), respectively. Prediction of the functional impact of <italic>tert</italic> gene variants was analyzed by PROVEAN (<uri xlink:href="http://provean.jcvi.org/seq_submit.php">http://provean.jcvi.org/seq_submit.php</uri>). The query sequence was obtained from the above comparison of multiple sequences.</p>
<p>To investigate the genomic collinearity of <italic>A. ommaturus</italic> with relative species, JCVI (<xref ref-type="bibr" rid="B87">Tang et&#xa0;al., 2015</xref>) was used to carry out the collinearity of <italic>A. ommaturus</italic> and <italic>P. magnuspinnatus.</italic>
</p>
</sec>
<sec id="s2_9">
<title>Analysis of Population History of <italic>A. ommaturus</italic>
</title>
<p>A total of 50.50 Gb data (Coverage 54&#xd7;) (<xref ref-type="bibr" rid="B21">Chen et&#xa0;al., 2020</xref>) about <italic>A. ommaturus</italic> genome survey sequencing were downloaded from NCBI (PRJNA658176). The Q20 and Q30 values of these data were over 96% and 90%, respectively. The sequencing quality is good and can be used for PSMC (pairwise sequentially Markovian coalescent) analysis. Therefore, these data were used to generate diploid consensus by bcftools v0.1.19 (<xref ref-type="bibr" rid="B24">Danecek et&#xa0;al., 2021</xref>). To obtain the input file for PSMC modeling, the &#x201c;fq2pamcfa&#x201d; and &#x201c;splitfa&#x201d; from the PSMC package (<xref ref-type="bibr" rid="B56">Li and Durbin, 2011</xref>) were used for analysis. Then, the parameter code was as follows: &#x201c;seq 100 | xargs -i echo psmc -N25 -t15 -r5 -b -p &#x201c;4+25*2+4+6&#x201d; -o round-{}.psmc split.fa | sh &#x201c;. The maturing age of <italic>A. ommaturus</italic> was set as 1 year, and the substitution rate was set as 2.5 &#xd7; 10<sup>-8</sup> per year for PSMC analysis.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Genome Size Estimation and Initial Characterization of the Genome</title>
<p>In this study, a total of 63 Gb of filtered short-read sequencing data were obtained from the Illumina library, representing the 64.15-fold coverage of <italic>A. ommaturus</italic> (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Tables&#xa0;3</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>4</bold>
</xref>). The size of the <italic>A. ommaturus</italic> genome was estimated to be about 982.02 Mb with a heterozygosity of 0.32% and a repeat content of 51.02%. The depth of k-mers peak was 47, and the total number of k-mers was 46,869,592,867 (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;1</bold>
</xref> and <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;5</bold>
</xref>).</p>
</sec>
<sec id="s3_2">
<title>Genome Assembly and Completeness of the Assembled Genome</title>
<p>A total of 210 Gb of high-quality data were generated from the PacBio Sequel II platform, covering 213.85-fold of genome assembly (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;3</bold>
</xref>). The size of the assembled genome was 921.47Mb with a contig N50 of 17.37 Mb (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). This result was consistent with k-mer analysis. To evaluate the quality of initial genome assembly, the Illumina short reads and PacBio long reads were aligned to the <italic>A. ommaturus</italic> assembly. A total of 99.36% of Illumina reads and 95.89% of PacBio long reads were successfully mapped to the assembled genome (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Tables&#xa0;6</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>7</bold>
</xref>).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Summary of the assembled genome.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Title</th>
<th valign="top" align="center">Total length</th>
<th valign="top" align="center">Total number</th>
<th valign="top" align="center">Average length</th>
<th valign="top" align="center">Max_length (bp)</th>
<th valign="top" align="center">Min_length (bp)</th>
<th valign="top" align="center">N50 length (bp)</th>
<th valign="top" align="center">N90 length (bp)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Contig</td>
<td valign="top" align="center">921,468,260</td>
<td valign="top" align="center">230</td>
<td valign="top" align="center">17,370,448</td>
<td valign="top" align="center">41,968,829</td>
<td valign="top" align="center">31,043</td>
<td valign="top" align="center">17,370,448</td>
<td valign="top" align="center">2,205,592</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>The BUSCO analysis is based on actinopterygii_odb10. A total of 93.6% (3,407/3,640) of the complete BUSCO were found in the genome assembly (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1B</bold>
</xref>). There were 243 CEGMA-identified core genes with 94.35% completeness (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;8</bold>
</xref>) and a 0.1964% heterozygous SNP rate and a 0.0018% homologous SNP rate (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;9</bold>
</xref>).</p>
<p>A total of ~98 Gb with 99.80&#xd7; coverage (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;10</bold>
</xref>) clean reads were obtained from the Hi-C library. The Q20 and Q30 of Hi-C data were 96.95% and 92.12%, respectively. The sequencing quality is good and can be used for subsequent analysis. Hi-C scaffolding approach was used to anchor and orient the draft assembly contigs into a chromosomal-scale assembly. A total of 90 assembled scaffolds were used for chromosomal-scale assembly, of which 22 assembled scaffolds were placed to chromosomes. The total length of placed scaffolds is 906.51 Mb; 98.38% of the assembled sequences were successfully clustered into 22 chromosome groups with chromosome lengths ranging from 31.13 Mb to 52.27 Mb (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;11</bold>
</xref>, <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1C</bold>
</xref>). The final genome assembly was 921.49 Mb in chromosomal scale, with contig N50 and scaffold N50 values of 15.70 Mb and 40.99 Mb, respectively (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Statistics of the Hi-C assembly of the <italic>A. ommaturus</italic> genome.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Genome size (Mb)</th>
<th valign="top" align="center">Percent assembled</th>
<th valign="top" align="center">Contig number</th>
<th valign="top" align="center">Contig N50 (Mb)</th>
<th valign="top" align="center">Scaffold number</th>
<th valign="top" align="center">Scaffold N50 (Mb)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">921.49</td>
<td valign="top" align="center">98.38%</td>
<td valign="top" align="center">266</td>
<td valign="top" align="center">15.70</td>
<td valign="top" align="center">90</td>
<td valign="top" align="center">40.99</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3_3">
<title>Genome Annotation</title>
<p>In this study, the size of repeat sequences was 418.38 Mb, accounting for 45.40% of the assembly genome (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>). The transposable elements mainly consisted of the long terminal repeats (LTR) (371.56 Mb; 40.32%), long interspersed elements (LINE) (64.28 Mb; 6.98%), and DNA transposable elements (DNA TE) in 4.70 Mb (0.51%) (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;12</bold>
</xref>).</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Statistics of repetitive sequences in <italic>A. ommaturus</italic> genome.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Type</th>
<th valign="top" align="center">Repeat size (bp)</th>
<th valign="top" align="center">Percentage of genome (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Trf</td>
<td valign="top" align="center">90,477,133</td>
<td valign="top" align="center">9.82</td>
</tr>
<tr>
<td valign="top" align="left">Repeatmasker</td>
<td valign="top" align="center">389,197,653</td>
<td valign="top" align="center">42.24</td>
</tr>
<tr>
<td valign="top" align="left">Proteinmask</td>
<td valign="top" align="center">77,624,827</td>
<td valign="top" align="center">8.42</td>
</tr>
<tr>
<td valign="top" align="left">Total</td>
<td valign="top" align="center">418,377,037</td>
<td valign="top" align="center">45.40</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>A total of 18,752 protein-coding genes were predicted in this study. The average transcript length and average CDS length was 19,348.84 bp and 1,747.18, respectively. The average exon length and average intro length was 167.09 bp and 1,861.37 bp, respectively (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;13</bold>
</xref>). Six other teleost species were used to compare with <italic>A. ommaturus</italic> to obtain the statistics of the predicted gene model, showing similar distribution patterns in CDS length, exon length, exon number, gene length, and intro length (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;2</bold>
</xref>). The summary of the genome characteristics of <italic>A. ommaturus</italic> is shown in <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1D</bold>
</xref>. A total of 18,350 genes (97.90%) were successfully annotated by alignment to the nucleotide, protein, and annotation databases (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>). The statistics of the noncoding RNA of <italic>A. ommaturus</italic> is shown in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;14</bold>
</xref>. Based on actinopterygii_odb10, BUSCO analysis showed that 84.6% (3,078/3,640) of the complete BUSCO were found in genome annotation (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;15</bold>
</xref>).</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Summary of functional annotations for predicted genes.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center">Number</th>
<th valign="top" align="center">Percentage (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Total</td>
<td valign="top" align="center">18,752</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">SwissProt</td>
<td valign="top" align="center">17,229</td>
<td valign="top" align="center">91.90</td>
</tr>
<tr>
<td valign="top" align="left">Nr</td>
<td valign="top" align="center">18,007</td>
<td valign="top" align="center">96.00</td>
</tr>
<tr>
<td valign="top" align="left">KEGG</td>
<td valign="top" align="center">15,864</td>
<td valign="top" align="center">84.60</td>
</tr>
<tr>
<td valign="top" align="left">InterPro</td>
<td valign="top" align="center">18,659</td>
<td valign="top" align="center">99.50</td>
</tr>
<tr>
<td valign="top" align="left">GO</td>
<td valign="top" align="center">17,549</td>
<td valign="top" align="center">93.60</td>
</tr>
<tr>
<td valign="top" align="left">Pfam</td>
<td valign="top" align="center">159,54</td>
<td valign="top" align="center">85.10</td>
</tr>
<tr>
<td valign="top" align="left">Annotated</td>
<td valign="top" align="center">18,350</td>
<td valign="top" align="center">97.90</td>
</tr>
<tr>
<td valign="top" align="left">Unannotated</td>
<td valign="top" align="center">402</td>
<td valign="top" align="center">2.10</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3_4">
<title>Comparative Genome Analysis of <italic>A. ommaturus</italic>
</title>
<sec id="s3_4_1">
<title>Phylogenetic Relationships of <italic>A. ommaturus</italic>
</title>
<p>In this study, gene family was identified among 15 selected species. A total of 14,371 gene families were identified in <italic>A. ommaturus</italic>, including 167 unique gene families (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;16</bold>
</xref>). On the basis of single-copy genes, the ML phylogenetic tree was constructed to investigate the phylogenetic evolutionary relationships of <italic>A. ommaturus</italic> with other species. <italic>A. ommaturus</italic> is phylogenetically closely related to <italic>P. magnuspinnatus</italic> and <italic>B. pectinirostris</italic>, diverging ~31.9 MYA with two goby species (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Phylogenetic analysis and divergence time tree of <italic>A. ommaturus</italic> with 14 other fish species. Each branch site shows the estimated species divergence time (million years ago). Each branch shows the number of expanded (+, green) and contracted (&#x2212;, red) gene families. The source of species images were shown in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table 2</bold>
</xref>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-09-894821-g002.tif"/>
</fig>
</sec>
<sec id="s3_4_2">
<title>Gene Family Expansion and Contraction</title>
<p>The <italic>A. ommaturus</italic> genome displayed 597 expanded and 3,094 contracted gene families compared with a common ancestor (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). Among these families, 64 expanded and 68 contracted gene families were significantly (<italic>p</italic> &lt; 0.05) changed (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;3</bold>
</xref>). Notably, <italic>A. ommaturus</italic> exhibited the expansion of genes related to FA biosynthesis (ko00061), FA degradation (ko00071), FA metabolism (ko01212), PPAR signaling pathway (ko03320), and adipocytokine signaling pathway (ko04920) (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;4</bold>
</xref>). There were eight copies of the Acyl-CoA synthetase bubblegum family member 2 (<italic>acsbg2</italic>) gene (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;17</bold>
</xref>). Eight <italic>acsbg2</italic> genes were localized on two chromosomes (Chr9 and Chr11) (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>). The low-density lipoprotein receptor (<italic>ldlr</italic>) gene family and Zinc finger protein 638 (<italic>znf638</italic>) gene were expanded. The KEGG enrichment analysis of contracted gene families is shown in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;5</bold>
</xref>.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>
<bold>(A)</bold> The location of expanded genes related to lipid metabolism in <italic>A. ommaturus</italic> chromosomes. <bold>(B)</bold> Candidate aging-related genes under positive selection in <italic>A. ommaturus</italic>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-09-894821-g003.tif"/>
</fig>
</sec>
<sec id="s3_4_3">
<title>Positive Selection Analysis</title>
<p>Using <italic>A. ommaturus</italic> as the foreground branch and <italic>D. rerio, X. gladius, S. dorsalis</italic>, and <italic>S. dumerili</italic> as the background branches, we incorporated the branch-site model of PAML package to detect positively selected genes (PSGs). A total of 1,155 PSGs (<italic>p</italic> &lt; 0.05) were identified in <italic>A. ommaturus</italic>, which were related to autophagy&#x2013;animal (ko04140), p53 signaling pathway (ko04115), cellular senescence (ko04218), cell cycle (ko04110), and apoptosis (ko04210) (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;6</bold>
</xref>). Nine PSGs (<italic>acsl6</italic>, <italic>acsf3</italic>, <italic>hrasls</italic>, <italic>stard3</italic>, <italic>fads2</italic>, <italic>fabp6</italic>, <italic>ppar&#x3b3;, acat1</italic>, and <italic>apoe</italic>) were related to lipid metabolism. Based on the GenAge and LongevityMap databases, 20 PSGs were identified as being associated with aging (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3B</bold>
</xref>). The multiple sequence alignments of <italic>tert</italic> are shown in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;7</bold>
</xref>. The conserved motif and domain results are shown in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figures&#xa0;8</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>9</bold>
</xref>. The prediction of the functional impact of <italic>tert</italic> gene variants is shown in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;19</bold>
</xref>.</p>
</sec>
<sec id="s3_4_4">
<title>Interspecific Collinearity Analysis</title>
<p>Interspecific collinearity analysis showed that there were high collinearity in <italic>A. ommaturus</italic> and <italic>P. magnuspinnatus</italic> (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4A</bold>
</xref>). Compared with <italic>P. magnuspinnatus, A. ommaturus</italic> has 22 chromosomes. The Chr6 of <italic>A. ommaturus</italic> corresponds to two chromosomes Chr12 and Chr23 of <italic>P. magnuspinnatus</italic>, and Chr22 corresponds to Chr2 and Chr24 as shown in <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4A</bold>
</xref>.</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Genome synteny between <italic>A. ommaturus</italic> and <italic>P. magnuspinnatus</italic> and population history of <italic>A. ommaturus</italic>. <bold>(A)</bold> Chromosomal syntenic relationships between <italic>A. ommaturus</italic> and <italic>P. magnuspinnatus</italic>. <bold>(B)</bold> The effective population size of <italic>A. ommaturus</italic>. <bold>(C)</bold> Central role of acyl-CoAs in cell metabolism. Adapted from <xref ref-type="bibr" rid="B22">Coleman et&#xa0;al. (2002)</xref>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-09-894821-g004.tif"/>
</fig>
</sec>
<sec id="s3_4_5">
<title>Population History of <italic>A. ommaturus</italic>
</title>
<p>The effective population size (<italic>N</italic>
<sub>e</sub>) of <italic>A. ommaturus</italic> varied in the range of ~1.75&#xd7;10<sup>4</sup>&#x2013;3.6&#xd7;10<sup>4</sup> from 400 to 10 Ka. The effective population size of <italic>A. ommaturus</italic> experienced a bottleneck event from 200 to 100 Ka (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4B</bold>
</xref>).</p>
</sec>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>In the present study, the whole genome of <italic>A. ommaturus</italic> was generated by PacBio sequencing combined with the Hi-C approach, yielding high-quality genome annotations and a chromosome-level genome for this economically important species. A total of 33 million Hi-C raw reads were finally clustered into 22 chromosomes, which is consistent with a previous karyotype study of <italic>A. ommaturus</italic> (<xref ref-type="bibr" rid="B93">Wang and Zhao, 1993</xref>). In addition, we sorted out the chromosome number of some fishes in Gobiidae based on literature, the NCBI database, and the Fish Karyome database. The chromosome number of Gobiidae fish varies from 22 to 38 (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;20</bold>
</xref>). The chromosome number of <italic>A. ommaturus</italic> is the same as its relative species, <italic>Acanthogobius flavimanus.</italic> The genome size of 921.49 Mb of <italic>A. ommaturus</italic> was in the middle of the genome size of its relative species (<italic>M. chulae</italic>: 1.002 Gb, <italic>Neogobius melanostomus</italic>: 1.00 Gb, <italic>B. pectinirostris</italic>: 955.75 Mb, <italic>Rhinogobius similis</italic>: 890.10 Mb). We identified 18,752 protein-coding genes in <italic>A. ommaturus</italic>, which was similar to those in <italic>Scartelaos histophorus</italic> (18,156) (<xref ref-type="bibr" rid="B100">You et&#xa0;al., 2014</xref>) and <italic>Lepisosteus oculatus</italic> (18,328) (<xref ref-type="bibr" rid="B13">Braasch et&#xa0;al., 2016</xref>), but lower than those in <italic>M. chulae</italic> (20,531) (<xref ref-type="bibr" rid="B17">Cai et&#xa0;al., 2021</xref>), <italic>B. pectinirostris</italic> (20,798) (<xref ref-type="bibr" rid="B100">You et&#xa0;al., 2014</xref>), and <italic>D. rerio</italic> (26,260) (<xref ref-type="bibr" rid="B42">Howe et&#xa0;al., 2013</xref>). The annotation data of relative species in databases were less, which may affect the homology prediction results. Moreover, the gene copy number of this species may decrease during evolution. A previous study has shown that the functions of genes are redundant after gene and genome duplications during evolution. Therefore, a single-copy gene is sufficient to perform its function, while the sub-copies of gene may accumulate harmful mutations and loss (<xref ref-type="bibr" rid="B70">Meyer and Schartl, 1999</xref>). Notably, the functionality and number of genes have to be further confirmed, and the current finding could only be the first preliminary step towards identifying key genes.</p>
<p>We discovered that the effective population size of <italic>A. ommaturus</italic> experienced a bottleneck event from 200 to 100 Ka, which may be related to the Guxiang Glacial Stage (<xref ref-type="bibr" rid="B79">ShangZhe et&#xa0;al., 2007</xref>). Glacial stage can affect atmospheric circulation, monsoon strength, animal and plant changes, soil development, and sea level rise and fall, resulting in a decline in population size. The population size of <italic>A. ommaturus</italic> gradually increased from 70 to 30 Ka, which may have something to do with several warm periods during this time and the influence of the Kuroshio (<xref ref-type="bibr" rid="B46">Hu et&#xa0;al., 2021</xref>).</p>
<p>Annual fish often demand great energy for rapid growth and sexual maturity in the juvenile stage. <italic>A. ommaturus</italic> feeds on a variety of shrimps in the juvenile stage (<xref ref-type="bibr" rid="B83">Sun et&#xa0;al., 1996</xref>), which may be associated with energy requirements. Previous studies have shown that <italic>A. ommaturus</italic> enhanced energy metabolism to increase their ability to survive in salinity changes (<xref ref-type="bibr" rid="B85">Sun et&#xa0;al., 2020</xref>), and the energy-related pathways were significantly enriched in response to temperature changes (<xref ref-type="bibr" rid="B86">Sun Z. et&#xa0;al., 2021</xref>). To facilitate rapid energy mobilization, <italic>A. ommaturus</italic> may have evolved a regulatory mechanism. In the <italic>A. ommaturus</italic> genome, <italic>acsbg2</italic>, <italic>znf638</italic>, and the <italic>ldlr</italic> gene family were expanded compared to 14 other fishes, and there were eight copies of the <italic>acsbg2</italic> gene. Nine genes (<italic>acsl6</italic>, <italic>acsf3</italic>, <italic>hrasls</italic>, <italic>stard3</italic>, <italic>fads2</italic>, <italic>fabp6</italic>, <italic>ppar&#x3b3;</italic>, <italic>acat1</italic>, and <italic>apoe</italic>) with essential roles in lipid metabolism were identified as PSGs.</p>
<p>Lipids play important roles in numerous biological processes, such as inflammation response, biofilms, reproduction, and energy source and storage (<xref ref-type="bibr" rid="B61">Lopes-Marques et&#xa0;al., 2018</xref>). FAs are important components of many lipids, including structural lipids, storage molecules, and signaling molecules. By now, FA catabolism is the main energy source of many fish (<xref ref-type="bibr" rid="B90">Tocher, 2003</xref>). They can be degraded for energy production to serve many essential functions in living organisms (<xref ref-type="bibr" rid="B95">Watkins et&#xa0;al., 2007</xref>). Notably, any anabolic and catabolic process of FA participation has a critical initial step, the &#x201c;activation&#x201d; of FAs. The activation reaction is catalyzed by ACS to produce a thioester with CoA (<xref ref-type="bibr" rid="B94">Watkins, 1997</xref>). The ACS is essential to lipid metabolism (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4C</bold>
</xref>). The <italic>acsbg2</italic> gene has been demonstrated to convert FAs to active Acyl-CoA using C18:1 and C18:2 as substrates (<xref ref-type="bibr" rid="B74">Pei et&#xa0;al., 2006</xref>). <italic>acsls</italic> typically activate C16:0 and C18:1 (<xref ref-type="bibr" rid="B94">Watkins, 1997</xref>). <xref ref-type="bibr" rid="B44">Huang et&#xa0;al. (2014)</xref> have researched the FAs in the muscle of <italic>A. ommaturus</italic>, and the results showed that the FAs were mainly C22:6 (~24.77%), C16:0 (~20.62%), C18:1 (~17.31%), C20:5 (~14.78%), C18:0 (~7.74%), and C18:2 (~3.84%) (<xref ref-type="bibr" rid="B44">Huang et&#xa0;al., 2014</xref>). The total content of these six FAs is up to 90%, which shows that the <italic>acsbg2</italic> and <italic>acsl6</italic> genes play an important role in <italic>A. ommaturus</italic> FA metabolism and synthesis.</p>
<p>The most important simple lipid is cholesterol (<xref ref-type="bibr" rid="B90">Tocher, 2003</xref>). <italic>ldlr</italic> is a kind of lipoprotein-carrying cholesterol, which plays a role for essential energy production, cell membrane, and cholesterol homeostasis (<xref ref-type="bibr" rid="B14">Brown and Goldstein, 1986</xref>; <xref ref-type="bibr" rid="B33">Go and Mani, 2012</xref>). <italic>ldlr</italic> gene variants with impaired function result in early-onset atherosclerosis known as familial hypercholesterolemia (FH) (<xref ref-type="bibr" rid="B33">Go and Mani, 2012</xref>). The <italic>ldlr</italic> gene knockout zebrafish showed moderate hypercholesterolemia when fed a normal diet (<xref ref-type="bibr" rid="B60">Liu et&#xa0;al., 2017</xref>). The <italic>ldlr</italic> gene family including <italic>lrp1</italic>, <italic>lrp2</italic>, <italic>lrp4</italic>, and <italic>lrp6</italic> were expanded in <italic>A. ommaturus</italic>. <italic>lrp1</italic> is involved in FA uptake, and <italic>lrp6</italic> is involved in the synthesis of TG and FAs, which both suggested that this species has a strong ability to regulate lipid homeostasis. In addition, <italic>znf638</italic> is a key regulator of adipogenic differentiation (<xref ref-type="bibr" rid="B69">Meruvu et&#xa0;al., 2011</xref>). <italic>Ppar&#x3b3;</italic> and <italic>apoe</italic> are also essential to lipid metabolism (<xref ref-type="bibr" rid="B77">Ren et&#xa0;al., 2002</xref>; <xref ref-type="bibr" rid="B43">Huang and Mahley, 2014</xref>). The expansion of lipid metabolism genes in <italic>A. ommaturus</italic> may help it to adapt to the complex environment, for instance, by allocating energy properly to respond to changes in external environmental factors.</p>
<p>Aging is broadly defined as the time-dependent irreversible physiological decline that affects most organisms, which has been demonstrated into nine hallmarks. These hallmarks are as follows: loss of proteostasis, telomere attrition, stem cell exhaustion, epigenetic alterations, mitochondrial dysfunction, cellular senescence, genomic instability, deregulated nutrient sensing, and altered intercellular communication (<xref ref-type="bibr" rid="B62">L&#xf3;pez-Ot&#xed;n et&#xa0;al., 2013</xref>). <italic>A. ommaturus</italic> that has a life span of 1 year may be a good model for aging studies. Analysis of positive selection in the genome of <italic>A. ommaturus</italic> identified 20 genes associated with aging, such as <italic>ercc6</italic>, <italic>hspd1</italic>, <italic>igf1</italic>, <italic>polg</italic>, <italic>taf1</italic>, and <italic>tert</italic>. These genes can be mainly divided into two categories based on the characteristics of aging.</p>
<p>(I) Genomic instability. The accumulation of various types of genetic damage throughout lifetime is the common feature of aging (<xref ref-type="bibr" rid="B71">Moskalev et&#xa0;al., 2013</xref>). Cells may undergo a series of phenotypic changes, from cell cycle arrest, cellular senescence, to malignant transformation when DNA damage reaches a certain level (<xref ref-type="bibr" rid="B28">Erol, 2011</xref>). Progeria aging syndromes are often the result of increasing DNA damage accumulation (<xref ref-type="bibr" rid="B16">Burtner and Kennedy, 2010</xref>). <italic>ercc6</italic>, known as CSB, is involved in DNA unwinding and DNA repair (<xref ref-type="bibr" rid="B54">Licht et&#xa0;al., 2003</xref>). A previous study showed that <italic>ercc6</italic> and <italic>xpa</italic> mutant mice die before weaning and display some premature aging phenotypes, such as attenuated growth, retinal degeneration, kyphosis, progressive neurological dysfunction, and cachexia (<xref ref-type="bibr" rid="B91">Van et&#xa0;al., 2007</xref>). Cockayne syndrome (CS) is a rare progeroid syndrome caused by mutations of <italic>ercc6</italic> (CSB) genes (<xref ref-type="bibr" rid="B48">Karikkineth et&#xa0;al., 2017</xref>), which has characteristics of normal aging including vision and hearing loss, early-onset neurodegeneration, and impaired mitophagy in early life, ultimately leading to premature death (<xref ref-type="bibr" rid="B53">Lee et&#xa0;al., 2019</xref>). Thus, the <italic>ercc6</italic> (FDR = 0.032) under positive selection may be a candidate aging gene in <italic>A. ommaturus</italic>.</p>
<p>(II) Telomere attrition. Telomerase consists of the protein component <italic>tert</italic> and the RNA component <italic>terc</italic>, which prolong telomeres after replication to maintain the telomere length (<xref ref-type="bibr" rid="B37">Harel et&#xa0;al., 2015</xref>). Telomeres are considered as a good biomarker in age research (<xref ref-type="bibr" rid="B12">Boonekamp et&#xa0;al., 2013</xref>), because they shorten during vertebrate aging, including <italic>Nothobranchius furzeri</italic> (<xref ref-type="bibr" rid="B38">Hartmann et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B5">Artandi and DePinho, 2010</xref>). The syndromes of telomere shortening, such as dyskeratosis, were caused by mutations in <italic>tert</italic> or other genes in the telomere-protecting complex (<xref ref-type="bibr" rid="B4">Armanios, 2009</xref>). The clinical presentations of dyskeratosis congenita are characterized by premature aging, such as pulmonary fibrosis, marrow failure (<xref ref-type="bibr" rid="B4">Armanios, 2009</xref>), reduced fertility (<xref ref-type="bibr" rid="B9">Bessler et&#xa0;al., 2010</xref>), and several cancers (<xref ref-type="bibr" rid="B2">Alter et&#xa0;al., 2009</xref>). A previous study produced <italic>tert</italic>-deficient fish by CRISPR/Cas9 technology, and the results showed that <italic>tert</italic>-deficient fish exhibit the loss of telomerase function, reduced fertility, and defects in highly proliferative tissues, and have genetic ability (<xref ref-type="bibr" rid="B37">Harel et&#xa0;al., 2015</xref>). Thus, mutations in <italic>tert</italic> could lead to a series of premature aging in fish. In this study, the variants of F to S in the telomerase RNA binding domain might have consequences in lifespan regulation. We speculated that <italic>tert</italic> under positive selection may be associated with the short lifespan of <italic>A. ommaturus</italic>. In addition, there are other candidate genes in <italic>A. ommaturus</italic> PSGs within the hallmarks of aging pathways (<xref ref-type="bibr" rid="B62">L&#xf3;pez-Ot&#xed;n et&#xa0;al., 2013</xref>), including mitochondrial dysfunction (<italic>polg</italic> and <italic>ppargc1a</italic>), deregulated nutrient sensing (<italic>igf1</italic>), loss of proteostasis (<italic>hsdpd1</italic>), and cellular senescence (<italic>taf1</italic>). In summary, <italic>A. ommaturus</italic> is an annual fish with a high-quality genome in the chromosomal level, which will be valuable for the identification of conserved genes important for lifespan, and the candidate genes related to aging can provide insight into the evolutionary power of lifespan strategies.</p>
</sec>
<sec id="s5">
<title>Conclusion</title>
<p>In this study, we presented a high-quality chromosome-level genome assembly of <italic>A. ommaturus</italic>. The final size of the <italic>A. ommaturus</italic> genome assembly was 921.49 Mb, with a contig N50 size of 15.70 Mb. The assembled sequences were clustered into 22 chromosomes by using Hi-C data. A total of 18,752 protein-coding genes were predicted. Phylogenetic analysis showed that <italic>A. ommaturus</italic> is closely related to <italic>P. magnuspinnatus</italic> and <italic>B. pectinirostris</italic>; the divergence time was appropriately 31.9 MYA. Several genes related to lipid metabolism such as <italic>acsbg2</italic>, <italic>znf638</italic>, and the <italic>ldlr</italic> gene family were expanded in comparative genomic analyses. Several candidate genes involved in aging were identified in positive selection of <italic>A. ommaturus</italic>. The high-quality genome assembly and annotation information supplied important genomic data to further investigate the evolution of <italic>A. ommaturus</italic> with other species, and it will be important for conservation applications and determining the location of important traits in this fish.</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 at: <uri xlink:href="https://www.ncbi.nlm.nih.gov/">https://www.ncbi.nlm.nih.gov/</uri>, PRJNA795319; <uri xlink:href="https://ngdc.cncb.ac.cn/">https://ngdc.cncb.ac.cn/</uri>, GWHBHRM00000000.</p>
</sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics Statement</title>
<p>The animal study was reviewed and approved by the Ocean University of China Academic Committee.</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author Contributions</title>
<p>NS conceived and managed the project. YP and ZS collected the sequencing samples. YP and LZ performed the experiment and analysis. YP wrote the manuscript, and TG, NS, and LZ revised the manuscript. All authors reviewed and approved the final manuscript. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>This work was supported by the National Key R&amp;D Program of China (2018YFD0900905) and the National Natural Science Foundation of China (No.U20A2087).</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>
</body>
<back>
<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.2022.894821/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fmars.2022.894821/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet_1.zip" id="SM1" mimetype="application/zip"/>
</sec>
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