Chromosome-level genome assembly for three geographical stocks of large yellow croaker (Larimichthys crocea).

IF 5.8 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Xintong Chen, Lingwei Miao, Qian He, Qiaozhen Ke, Fei Pu, Ning Li, Tao Zhou, Peng Xu
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引用次数: 0

Abstract

Large yellow croaker (Larimichthys crocea) has been demonstrated to be divided into three geographical stocks from south to north along the coast of China, including Nanhai, Mindong, and Daiqu. Although multiple versions of L. crocea have been published, no high-quality Nanhai and Daiqu genomes have been assembled, hampering the assessment of the fine-scale genetic structure and adversely affecting wild stock conservation, fishery management, and germplasm exploitation of large yellow croaker. To fill the gap, we sequenced the genomes of three L. crocea stocks using a combination of PacBio and Hi-C technologies. We assembled each genome (~712 Mb) into 24 chromosomes with a contig N50 of 19.46-29.71 Mb and an integration efficiency of 88.13-92.80%. Furthermore, 26,851-28,133 protein-coding genes were predicted. The reference genomes of three geographical stocks of L. crocea provide vital resources for future research on the conservation and utilization of genetic diversity.

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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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