红豆(Vigna angularis)的染色体基因组组装和注释。

IF 5.8 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Wan Li, Fanglei He, Xueyang Wang, Qi Liu, Xiaoqing Zhang, Zhiquan Yang, Chao Fang, Hongtao Xiang
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引用次数: 0

摘要

红豆(Vigna angularis)是一种重要的膳食豆类作物,在东亚地区非常普遍。它在中国也具有重要的传统药用价值。在这项研究中,我们报告了利用 Illumina 短线程测序、PacBio 长线程测序和 Hi-C 技术获得的高质量染色体组水平的红豆基因组组装。该基因组序列跨度为 447.8 Mb,涵盖了估计基因组的 96.32%,等位基因和支架 N50 值分别为 16.5 Mb 和 41.0 Mb。在 1,614 个 BUSCO 基因中,超过 98.2% 的基因得到了完全鉴定,25,939 个基因得到了注释,其中 98.23% 的基因可进行功能鉴定。据估计,Vigna angularis 是在大约 1530 万年前和 870 万年前分别从 Vigna unguiculata 和 Vigna radiata 演化而来的。这个角豆染色体级参考基因组为探索角豆的功能基因组学和基因组进化奠定了坚实的基础,从而促进了角豆分子育种的进步。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Chromosome genome assembly and annotation of Adzuki Bean (Vigna angularis).

Adzuki bean (Vigna angularis) is a significant dietary legume crop that is prevalent in East Asia. It also holds traditional medicinal importance in China. In this study, we report a high-quality, chromosome-level genome assembly of adzuki bean obtained by employing Illumina short-read sequencing, PacBio long-read sequencing, and Hi-C technology. The assembly spans 447.8 Mb, encompassing 96.32% of the estimated genome, with contig and scaffold N50 values of 16.5 and 41.0 Mb, respectively. More than 98.2% of the 1,614 BUSCO genes were fully identified, and 25,939 genes were annotated, with 98.23% of them being functionally identifiable. Vigna angularis was estimated to diverge successively from Vigna unguiculata and Vigna radiata about 15.3 and 8.7 million years ago (Ma), respectively. This chromosome-level reference genome of Vigna angularis provides a robust foundation for exploring the functional genomics and genome evolution of adzuki bean, thereby facilitating advancements in molecular breeding of adzuki bean.

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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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