卷叶虫的染色体尺度基因组组装。鳞翅目:皮蛾科。

IF 6.9 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Shu-Zhen Wang, Jun-Ran Zhao, Yu-Mei Dong, Wei Zhang, Yue Ying, Jin-Ping Shu, Jin-Ming Zhang, Peng-Jun Zhang
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引用次数: 0

摘要

卷叶螟(Eumorphobotys obscuralis)是一种极具破坏性的害虫,它会造成严重的落叶,最终降低植物活力,导致植株死亡,并造成重大的经济和生态损失。尽管其影响巨大,但仍然缺乏有效的预防和控制策略,进一步加剧了该物种造成的损害。为了解决基因组资源的关键缺口,我们使用Illumina短序列、PacBio HiFi长序列和Hi-C染色质相互作用数据的组合,生成了一个高质量的隐毛线虫染色体尺度的基因组组装。最终组装全长701.9 Mb,横跨31条染色体,包括单性染色体z。关键组装指标包括contig N50为1.73 Mb, scaffold N50为23.70 Mb,估计基因组完整性为96.7%。基因组注释鉴定了15855个蛋白质编码基因,发现重复序列占基因组的58.9%。该基因组资源为探索害虫生物学和适应性的遗传机制奠定了坚实的基础,并为制定有针对性的害虫管理策略提供了有价值的参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A chromosome-scale genome assembly of the leaf roller, Eumorphobotys obscuralis (Lepidoptera: Pyralidae).

A chromosome-scale genome assembly of the leaf roller, Eumorphobotys obscuralis (Lepidoptera: Pyralidae).

A chromosome-scale genome assembly of the leaf roller, Eumorphobotys obscuralis (Lepidoptera: Pyralidae).

The leaf roller, Eumorphobotys obscuralis, is a highly destructive pest that causes severe defoliation, ultimately reducing plant vigor, leading to culm death, and resulting in significant economic and ecological losses. Despite its substantial impact, effective prevention and control strategies remain lacking, further exacerbating the damage caused by this species. To address the critical gap in genomic resources, we generated a high-quality chromosome-scale genome assembly for E. obscuralis using a combination of Illumina short reads, PacBio HiFi long reads, and Hi-C chromatin interaction data. The final assembly spans 701.9 Mb across 31 chromosomes, including the single sex chromosome Z. Key assembly metrics include a contig N50 of 1.73 Mb and a scaffold N50 of 23.70 Mb, with an estimated genome completeness of 96.7%. Genome annotation identified 15,855 protein-coding genes and revealed that repetitive sequences account for 58.9% of the genome. This genomic resource lays a solid foundation for exploring the genetic mechanisms underlying the pest's biology and adaptation, and serves as a valuable reference for the development of targeted pest management strategies.

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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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