The First Genome-Wide Survey of Shortbelly Eel (Dysomma anguillare Barnard, 1923) to Provide Genomic Characteristics, Microsatellite Markers and Complete Mitogenome Information

IF 2.1 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY Biochemical Genetics Pub Date : 2023-10-31 DOI:10.1007/s10528-023-10543-1
Tian-yan Yang, Zi-yan Zhu, Yu-ping Liu, Si-ge Wang
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Abstract

Dysomma anguillare is a demersal eel widespread distributing in tropical waters of the Indo-West Pacific and Atlantic. As an important component of the coastal fishery and marine ecosystem, the lack of genomic information for this species severely restricts the progress of relevant researches. In this study, the abecedarian genome-wide characteristics and phylogenetic relationships analyses were carried out based on next-generation sequencing (NGS) platform. The revised genome size was approximately 1 310 Mb, with the largest scaffold length reaching 23 878 bp through K-mer (K = 17) method. The heterozygosity, repetitive rate and average GC content were about 0.94%, 51.93% and 42.23%, respectively. A total of 1 160 104 microsatellite motifs were identified from the de novo assembled genome of D. anguillare, in which dinucleotide repeats accounted for the largest proportion (592 234, 51.05%), the highest occurrence frequency (14.58%) as well as the largest relative abundance (379.27/Mb). The high-polymorphic and moderate-polymorphic loci composed around 73% of the total single sequence repeats (SSRs), showing a latent capacity for subsequent population genetic structure and genetic diversity appraisal researches. Another byproduct of whole-genome sequencing, the double-stranded and circular mitogenome (16 690 bp) was assembled to investigate the evolutionary relationships of D. anguillare. The phylogenic tree constructed with maximum likelihood (ML) method showed that D. anguillare was closely related to Synaphobranchidae species, and the molecular systematic results further supported classical taxonomy status of D. anguillare.

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首次对短腹鳗进行全基因组调查(Dyomma anguillare Barnard,1923),以提供基因组特征、微卫星标记和完整的线粒体基因组信息。
鳗是一种广泛分布于印度-西太平洋和大西洋热带水域的底层鳗鱼。作为沿海渔业和海洋生态系统的重要组成部分,该物种基因组信息的缺乏严重制约了相关研究的进展。在本研究中,基于下一代测序(NGS)平台进行了初步的全基因组特征和系统发育关系分析。修正后的基因组大小约为1310Mb,通过K-mer(K = 17) 方法。杂合度、重复率和GC平均含量分别为0.94%、51.93%和42.23%。从新组装的沙蚕基因组中共鉴定出1 160 104个微卫星基序,其中二核苷酸重复序列占最大比例(592 234,51.05%),出现频率最高(14.58%),相对丰度最大(379.27/Mb)。高多态性和中等多态性位点占总单序列重复序列(SSRs)的73%左右,显示出对后续群体遗传结构和遗传多样性评价研究的潜在能力。全基因组测序的另一个副产品,双链和环状有丝分裂基因组(16990bp)被组装起来,以研究鳗的进化关系。利用最大似然(ML)方法构建的系统发育树表明,鳗目与Synaphobranchidae物种亲缘关系密切,分子系统结果进一步支持了鳗目的经典分类学地位。
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来源期刊
Biochemical Genetics
Biochemical Genetics 生物-生化与分子生物学
CiteScore
3.90
自引率
0.00%
发文量
133
审稿时长
4.8 months
期刊介绍: Biochemical Genetics welcomes original manuscripts that address and test clear scientific hypotheses, are directed to a broad scientific audience, and clearly contribute to the advancement of the field through the use of sound sampling or experimental design, reliable analytical methodologies and robust statistical analyses. Although studies focusing on particular regions and target organisms are welcome, it is not the journal’s goal to publish essentially descriptive studies that provide results with narrow applicability, or are based on very small samples or pseudoreplication. Rather, Biochemical Genetics welcomes review articles that go beyond summarizing previous publications and create added value through the systematic analysis and critique of the current state of knowledge or by conducting meta-analyses. Methodological articles are also within the scope of Biological Genetics, particularly when new laboratory techniques or computational approaches are fully described and thoroughly compared with the existing benchmark methods. Biochemical Genetics welcomes articles on the following topics: Genomics; Proteomics; Population genetics; Phylogenetics; Metagenomics; Microbial genetics; Genetics and evolution of wild and cultivated plants; Animal genetics and evolution; Human genetics and evolution; Genetic disorders; Genetic markers of diseases; Gene technology and therapy; Experimental and analytical methods; Statistical and computational methods.
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