Chromosome-level genome assembly and annotation of the tropical sea cucumber Stichopus monotuberculatus.

IF 5.8 2区综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES

Scientific Data Pub Date : 2024-11-18 DOI:10.1038/s41597-024-03985-8

Ting Chen, Yun Yang, Xuan Wang, Zhou Qin, Zhenyu Xie, Dingding Fan, Chunhua Ren, Hongyan Sun, Peng Luo, Xiao Jiang, Hao Long, Chang Chen, Wenjie Pan, Zixuan E, Jiasheng Huang, Qianying Huang, Jianfeng Xu, Zepeng Zhang, Chuhang Cheng, Suzhong Yu, Yanhong Wang, Fajun Jiang, Aifen Yan, Chaoqun Hu

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Abstract

In this study, a chromosome-level genome of the tropical sea cucumber Stichopus monotuberculatus was generated by a combination of Nanopore long-read, Illumina short-read, and Hi-C sequencing technologies. The final assembly was 810.54 Mb in length, with contig N50 and scaffold N50 values of 10.15 Mb and 35.36 Mb, respectively. This assembly comprised 23 pseudo-chromosomes, covering 99.82% of the genome. Completeness analysis using BUSCO indicated that 97.8% of the metazoan conserved genes were presented in their entirety. A total of 29,596 protein-coding genes were predicted, with functional annotations available for 94.43% of these genes. The high-quality genome assembly produced in this study may provide an essential foundation for future researches on resource conservation and genetic breeding of S. monotuberculatus.

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热带海参Stichopus monotuberculatus的染色体级基因组组装和注释。

本研究结合Nanopore长读数、Illumina短读数和Hi-C测序技术，生成了热带海参Stichopus monotuberculatus的染色体级基因组。最终的组装体长度为 810.54 Mb，等位基因 N50 值和支架 N50 值分别为 10.15 Mb 和 35.36 Mb。该组装包括 23 个假染色体，覆盖了基因组的 99.82%。使用 BUSCO 进行的完整性分析表明，97.8% 的元古宙保守基因被完整地呈现出来。共预测出 29,596 个编码蛋白质的基因，其中 94.43% 的基因有功能注释。本研究中产生的高质量基因组组装可为未来单核细胞瘤鼠的资源保护和遗传育种研究提供重要基础。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

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.