野生小麦亲缘系绿麦豆的染色体尺度组装与注释。

IF 6.9 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Hongna Li, Shams Ur Rehman, Rui Song, Liang Qiao, Xiaohua Hao, Jing Zhang, Kairong Li, Lifeng Hou, Wanyi Hu, Le Wang, Shisheng Chen
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引用次数: 0

摘要

小麦野生近缘系是提高普通小麦遗传多样性的宝贵资源。高粱是一种一年生二倍体植物,具有MM基因组结构,具有许多有价值的农艺性状,可用于小麦改良。在这项研究中,我们报道了伊蚊的染色体水平基因组组装。comosa accession PI 551049,使用PacBio高保真(HiFi) reads和高通量染色体构象捕获(Hi-C)数据生成。该组件的容量为4.47 Gb,其中contig N50为23.59 Mb, scaffold N50为619.05 Mb。通过同源蛋白、Iso-seq和RNA-seq数据的组合,共注释了39,057个基因模型。比较基因组分析显示,伊蚊2号染色体M染色体末端染色体内易位。comosa。这一新构建的伊蚊参考基因组。Comosa将成为比较基因组研究和克隆农业上重要基因的重要基因组资源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Chromosome-scale assembly and annotation of the wild wheat relative Aegilops comosa.

Wild relatives of wheat are valuable sources for enhancing the genetic diversity of common wheat. Aegilops comosa, an annual diploid species with an MM genome constitution, possesses numerous agronomically valuable traits that can be exploited for wheat improvement. In this study, we report a chromosome-level genome assembly of Ae. comosa accession PI 551049, generated using PacBio high-fidelity (HiFi) reads and high-throughput chromosome conformation capture (Hi-C) data. The assembly spans 4.47 Gb, featuring a contig N50 of 23.59 Mb and a scaffold N50 of 619.05 Mb. A total of 39,057 gene models were annotated through a combination of homoeologous proteins, Iso-seq, and RNA-seq data. Comparative genome analysis revealed a terminal intrachromosomal translocation on chromosome 2 M in Ae. comosa. This newly constructed reference genome of Ae. comosa will serve as an important genomic resource for comparative genomic studies and the cloning of agriculturally important genes.

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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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