利用纳米孔和Hi-C技术组装青鱼的染色体水平基因组。

IF 6.9 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Yuxuan Zhang, Yanwen Shao, Xudong Liu, Liang Zhong, Zhaoyan Zhong, Weiwei Zeng, Jiping Zhang, Wenlong Cai, Runsheng Li
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引用次数: 0

摘要

青鱼(Mylopharyngodon piceus)是中国“四大名家鱼”之一,是淡水养殖中重要的经济鱼类。高质量的基因组对于推进该物种未来的生物学研究和育种计划至关重要。在这项研究中,我们旨在利用纳米孔和Hi-C技术产生高质量的黑鱼染色体水平基因组组装。最终基因组组装全长848.70 Mb, contig N50为3.37 Mb, scaffold N50为34.13 Mb。通过Hi-C技术将基因组固定在24条染色体上。与Actinopterygii_odb10数据库相比,基因组组装的BUSCO (Benchmarking Universal Single-Copy Orthologs)完整性评分为97.6%。在基因组组装中共预测到203.54 Mb的重复序列和37418个蛋白质编码基因。总之,我们的研究提供了染色体水平的基因组组装,可以作为宝贵的遗传资源,支持进一步的生物学研究和育种工作。
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 of black carp Mylopharyngodon piceus using Nanopore and Hi-C technologies.

Chromosome-level genome assembly of black carp Mylopharyngodon piceus using Nanopore and Hi-C technologies.

Chromosome-level genome assembly of black carp Mylopharyngodon piceus using Nanopore and Hi-C technologies.

Black carp (Mylopharyngodon piceus) is one of the "four famous domestic fishes" in China and an important economic fish in freshwater aquaculture. A high-quality genome is essential for advancing future biological research and breeding programs for this species. In this study, we aimed to generate a high-quality chromosome-level genome assembly of black carp using Nanopore and Hi-C technologies. The final genome assembly was 848.70 Mb in length, with a contig N50 of 3.37 Mb and a scaffold N50 of 34.13 Mb. The genome was anchored onto 24 chromosomes by Hi-C technology. The BUSCO (Benchmarking Universal Single-Copy Orthologs) completeness score of the genome assembly is 97.6% when compared to the Actinopterygii_odb10 database. In total, 203.54 Mb of repeat sequences and 37,418 protein-coding genes were predicted in the genome assembly. Taken together, our study provides a chromosome-level genome assembly, which can serve as a valuable genetic resource to support further biological studies and breeding efforts of black carp.

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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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