秋海棠(海棠科)染色体水平的基因组组装。

IF 6.9 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Tian-Wen Xiao, Zheng-Feng Wang, Hai-Fei Yan
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引用次数: 0

摘要

海棠属珍贵药用植物,属广东省自然资源保护植物。在这项研究中,我们提出了一个染色体水平的基因组组装,旨在促进其保护和利用。基因组是使用牛津纳米孔长读数据和Illumina短读数据组合而成的。B. fibritipula的基因组大小为462.11 Mb,支架N50为38.22 Mb。利用Hi-C技术将91.96% (424.94 Mb)的序列固定在11条假染色体上。基因组组装的BUSCO完整性为90.3%,LTR组装指数(LAI)为17.73。基因组注释显示25,563个蛋白质编码基因和274个tRNA基因。高质量的染色体水平组装和注释为深入了解黄颡鱼基因组特征提供了有价值的信息,从而为其保护和经济利用提供了重要的资源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A chromosomal-level genome assembly of Begonia fimbristipula (Begoniaceae).

A chromosomal-level genome assembly of Begonia fimbristipula (Begoniaceae).

A chromosomal-level genome assembly of Begonia fimbristipula (Begoniaceae).

A chromosomal-level genome assembly of Begonia fimbristipula (Begoniaceae).

Begonia fimbristipula Hance (Begoniaceae) is a valuable medicinal herb that is classified as a protected species in Guangdong Province, China. In this study, we present a chromosome-level genome assembly of B. fimbristipula, aiming to facilitate its conservation and utilization. The genome was assembled using a combination of Oxford Nanopore long-read data and Illumina short-read data. The assembled genome size of B. fimbristipula is 462.11 Mb, with a scaffold N50 of 38.22 Mb. A total of 91.96% (424.94 Mb) of the sequences were anchored to 11 pseudochromosomes using Hi-C technology. The genome assembly exhibits a BUSCO completeness of 90.3% and an LTR Assembly Index (LAI) of 17.73. Genome annotation revealed 25,563 protein-coding genes and 274 tRNA genes. The high-quality chromosome-level assembly and annotation provide valuable insights into the genomic characteristics of B. fimbristipula, thereby offering essential resources for its conservation and economic utilization.

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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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