掠食性棘鱼的染色体水平基因组组装。

IF 6.9 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Jingdong Cao, Rentao Liao, Guorun Fu, Yunbin Li, Jiaxin Zhang, Yunxia Chai, Gang Chen, Zichao Mao
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引用次数: 0

摘要

Eocanthecona furcellata (Wolff, 1811)(半翅目:蝽科:刺蝽科)是一种捕食性臭虫,捕食多种臭名昭著的害虫,是农林生态系统中重要的生物防治剂,具有很大的区域应用和推广潜力。我们利用PacBio HiFi长读测序技术和Hi-C支架技术对E. furcellata进行了染色体水平的基因组组装。最终的基因组全长1.03 Gb,序列N50为2.35 Mb,支架N50为135.69 Mb,与Hemiptera_odb10谱系数据集的BUSCO完整性达到97.0%。Hi-C数据将组装分解为7条假染色体,代表完整的核型。重复元件占基因组的52.07%(约520.07 Mb)。我们注释了15802个蛋白质编码基因,其中90.72%是信息分配的。这个高质量的基因组为推进捕食性昆虫生物学的研究提供了基础资源,包括消化的遗传适应、猎物检测的分子机制以及通过功能基因组学优化生物防治。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Chromosome-level genome assembly of predatory Eocanthecona furcellata.

Eocanthecona furcellata (Wolff, 1811) (Hemiptera: Pentatomidae: Asopinae), a predatory stinkbug, preys on diverse notorious insect pests, positioning it as a critical biocontrol agent in agricultural and forestry ecosystems with substantial regional application and promotion potential. We present a chromosome-level genome assembly of E. furcellata using PacBio HiFi long-read sequencing and Hi-C scaffolding technologies. The final genome spans 1.03 Gb, with a contig N50 of 2.35 Mb and a scaffold N50 of 135.69 Mb, achieving 97.0% BUSCO completeness with the Hemiptera_odb10 lineage dataset. Hi-C data resolved the assembly into 7 pseudochromosomes, representing the full karyotype. Repeat elements constitute 52.07% of the genome (approximately 520.07 Mb). We annotated 15,802 protein-coding genes, of which 90.72% were informatively assigned. This high-quality genome provides a foundational resource for advancing research on predatory bug biology, including genetic adaptations for digestion, molecular mechanisms of prey detection, and biocontrol optimization through functional genomics.

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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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