Chromosome-level genome assembly of the smallscale yellowfin (Plagiognathops microlepis).

IF 5.8 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Yangyang Liang, Huijuan Liu, Wenxuan Lu, Jing Li, Ting Fang, Na Gao, Cheng Chen, Xiuxia Zhao, Kun Yang, Haiyang Liu
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引用次数: 0

Abstract

The small-scale yellowfin (Plagiognathops microlepis) is a highly valued species in East Asian aquaculture due to its adaptability and high yield. However, the lack of genomic data has impeded genetic research and breeding efforts. In this study, we utilize PacBio Hifi long-read sequencing and Hi-C technologies to construct a highly detailed genome of P. microlepis at the chromosomal level. The assembly encompasses 976.41 Mb, with an exceptional 99.84% distribution across 24 chromosomes. Notably, the contig N50 was 34.41 Mb and scaffold N50 was 38.38 Mb. The completeness of the P. microlepis genome assembly is underscored by a BUSCO score of 98.08%. A total of 25,389 protein-coding genes were identified, with a BUSCO score of 96.98%, and 99.85% of these genes were functionally annotated. Synteny relationships at the chromosome level with Danio rerio and Chanodichthys erythropterus genomes uncover small-scale chromosomal rearrangements. This high-fidelity genome assembly serves as a pivotal resource for forthcoming endeavors such as the genome structure, functional elements, comparative genomics, and evolutionary characteristics of P. microlepis and its relative species.

小鳞黄鳍鱼(Plagiognathops microlepis)染色体级基因组组装。
小型黄鳍鱼(Plagiognathops microlepis)因其适应性强、产量高而成为东亚水产养殖业中的高价值鱼种。然而,基因组数据的缺乏阻碍了遗传研究和育种工作。在本研究中,我们利用 PacBio Hifi 长线程测序技术和 Hi-C 技术构建了小尾寒羊染色体水平的高精细基因组。该基因组包含 976.41 Mb,在 24 条染色体上的分布率高达 99.84%。值得注意的是,等位基因 N50 为 34.41 Mb,支架 N50 为 38.38 Mb。P. microlepis基因组组装的完整性得到了98.08%的BUSCO评分。共鉴定出 25,389 个编码蛋白质的基因,BUSCO 得分为 96.98%,其中 99.85% 的基因得到了功能注释。在染色体水平上,与Danio rerio和Chanodichthys erythropterus基因组的合成关系发现了小规模的染色体重排。这一高保真基因组组装是今后研究小尾寒羊及其近缘种的基因组结构、功能元件、比较基因组学和进化特征的重要资源。
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来源期刊
Scientific Data
Scientific Data Social Sciences-Education
CiteScore
11.20
自引率
4.10%
发文量
689
审稿时长
16 weeks
期刊介绍: Scientific Data is an open-access journal focused on data, publishing descriptions of research datasets and articles on data sharing across natural sciences, medicine, engineering, and social sciences. Its goal is to enhance the sharing and reuse of scientific data, encourage broader data sharing, and acknowledge those who share their data. The journal primarily publishes Data Descriptors, which offer detailed descriptions of research datasets, including data collection methods and technical analyses validating data quality. These descriptors aim to facilitate data reuse rather than testing hypotheses or presenting new interpretations, methods, or in-depth analyses.
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