Chromosome-level genome assembly and annotation of Clanis bilineata tsingtauica Mell (Lepidoptera: Sphingidae).

IF 5.8 2区综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Scientific Data Pub Date : 2024-09-30 DOI:10.1038/s41597-024-03853-5

Yulu Yan, Ke Zhao, Longwei Yang, Nan Liu, Yufei Xu, Junyi Gai, Guangnan Xing

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Abstract

The soybean hawkmoth Clanis bilineata tsingtauica Mell (Lepidoptera, Sphingidae; CBT), as one of the main leaf-chewing pests of soybeans, has gained popularity as an edible insect in China recently due to its high nutritional value. However, high-quality genome of CBT remains unclear, which greatly limits further research. In the present study, we assembled a high-quality chromosome-level genome of CBT using PacBio HiFi reads and Hi-C technologies for the first time. The size of the assembled genome is 477.45 Mb with a contig N50 length of 17.43 Mb. After Hi-C scaffolding, the contigs were anchored to 29 chromosomes with a mapping rate of 99.61%. Benchmarking Universal Single-Copy Orthologues (BUSCO) completeness value is 99.49%. The genome contains 252.16 Mb of repeat elements and 14,214 protein-coding genes. In addition, chromosomal synteny analysis showed that the genome of CBT has a strong synteny with that of Manduca sexta. In conclusion, this high-quality genome provides an important resource for future studies of CBT and contributes to the development of integrated pest management strategies.

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Chromosome-level genome assembly and annotation of Clanis bilineata tsingtauica Mell (Lepidoptera: Sphingidae).

大豆鹰嘴夜蛾（Clanis bilineata tsingtauica Mell，鳞翅目，鞘翅目；CBT）是大豆的主要啃叶害虫之一，由于其营养价值高，近年来在中国作为食用昆虫受到人们的青睐。然而，CBT的高质量基因组仍然不清楚，这极大地限制了进一步的研究。在本研究中，我们首次利用 PacBio HiFi reads 和 Hi-C 技术组装了高质量的 CBT 染色体级基因组。组装的基因组大小为 477.45 Mb，等位基因 N50 长度为 17.43 Mb。经过Hi-C脚手架处理后，等位基因被锚定到29条染色体上，映射率为99.61%。基准通用单拷贝同源物（BUSCO）完整性值为 99.49%。基因组包含 252.16 Mb 的重复元件和 14,214 个编码蛋白质的基因。此外，染色体同源分析表明，CBT 的基因组与六芒星的基因组有很强的同源关系。总之，这个高质量的基因组为未来的 CBT 研究提供了重要资源，并有助于害虫综合治理策略的开发。

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.