Barbel chub Squaliobarbus课程的染色体水平基因组组装与注释。

IF 6.9 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Qingmei Zheng, Feng Huang, Haiyan Zheng, Hui Zhang, Rushu Wen, Chao Li
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引用次数: 0

摘要

棘鱼是中国重要的淡水鱼种。野生种群的渔业产量急剧下降,迫切需要发展水产养殖。然而,高质量基因组的缺乏阻碍了其人工育种和遗传育种。在此,我们通过结合HiFi测序、Hi-C测序、Iso-seq和短读RNA-seq数据,提出了S.课程的染色体水平基因组组装。该片段大小为910.27 Mb, N50序列长度为34.70 Mb。经Hi-C接触图谱支持,99.50%的组装序列被放置在24条染色体上。利用Iso-seq和short-reads RNA-seq数据,我们基于三种预测方法鉴定了28,329个蛋白质编码基因。其中,27,207个基因(96.04%)至少被功能注释到6个常用数据库中的一个。此外,我们在美国课程基因组中注释了2,041个mirna, 16,426个trna, 5,488个rnas和1,536个snrna。综上所述,该染色体水平基因组将为今后的遗传育种、群体基因组学、性别相关标记鉴定等研究提供宝贵的基因组资源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Chromosome-level genome assembly and annotation of Barbel chub Squaliobarbus curriculus.

Chromosome-level genome assembly and annotation of Barbel chub Squaliobarbus curriculus.

Chromosome-level genome assembly and annotation of Barbel chub Squaliobarbus curriculus.

Chromosome-level genome assembly and annotation of Barbel chub Squaliobarbus curriculus.

The barbel chub Squaliobarbus curriculus, is an economically important freshwater fish in China. The fishery production of the wild populations has declined dramatically, making the development of aquaculture urgently needed. However, the lack of high-quality genome has impeded its artificial breeding and genetic breeding. Herein, we present a chromosome-level genome assembly for S. curriculus by combining HiFi sequencing, Hi-C sequencing, Iso-seq and short-reads RNA-seq data. This assembly was 910.27 Mb in size, with a contig N50 length of 34.70 Mb. 99.50% of the assembled sequences were placed onto 24 chromosomes supported by Hi-C contact map. Using Iso-seq and short-reads RNA-seq data, we identified 28,329 protein-coding genes based on three prediction methods. Of these genes, 27,207 genes (96.04%) were functionally annotated to at least one of the six commonly used databases. Additionally, we annotated 2,041 miRNAs, 16,426 tRNAs, 5,488 rRNAs and 1,536 snRNAs in the S. curriculus genome. Overall, the chromosome-level genome of S. curriculus will provide valuable genomic resources for genetic breeding, population genomics, sex-related marker identifications, and other future studies.

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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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