土蜂（膜翅目，姬蜂科）的杂交基因组组装。

IF 2.5 2区生物学 Q2 EVOLUTIONARY BIOLOGY

Journal of Heredity Pub Date : 2025-06-20 DOI:10.1093/jhered/esaf041

Xiaoli Li, Ye Xiao, Qingsong Zhou, Mei Xiong, Xin Zhou

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引用次数: 0

摘要

挖蜂属代表了从掠食性膜翅目动物到蜜蜂的重要转变。在这里，我们提出了一个改进的Cerceris sabulosa基因组组装。使用牛津纳米孔平台对无人机标本进行测序，并通过Illumina配对末端reads进行抛光。组装的基因组大小为372.7 Mb，包含587个contigs (N50 = 6.6 Mb)，其中99.4%的BUSCO基因存在于组装中。共注释了12 425个蛋白质编码基因。此外，还鉴定出140.3 Mb的重复元件和938个非编码rna。基因组进化分析表明，许多与有机环化合物结合相关的基因经历了显著的扩增。我们的新基因组组装为深入研究Cerceris物种的进化适应和生活方式转变奠定了基础。

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A hybrid de novo genome assembly of the digger wasp Cerceris sabulosa (Hymenoptera, Crabronidae).

The digger wasp genus Cerceris represents an important transition from predacious hymenopterans to the bees. Here, we present a refined genome assembly of Cerceris sabulosa. A drone specimen was sequenced using the Oxford Nanopore platform, and polished by Illumina paired-end reads. The assembled genome size was 372.7 Mb including 587 contigs (N50 = 6.6 Mb), with 99.4% of BUSCO genes present in the assembly. A total of 12 425 protein-coding genes were annotated. In addition, 140.3 Mb of repeat elements and 938 noncoding RNAs were identified. Genome evolution analysis showed that many genes related to organic cyclic compound binding had experienced significant expansion. Our new genome assembly builds the foundation for in-depth research on evolutionary adaptation and life style transition in Cerceris species.

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来源期刊

Journal of Heredity 生物-遗传学

CiteScore

5.20

自引率

6.50%

发文量

审稿时长

6-12 weeks

期刊介绍： Over the last 100 years, the Journal of Heredity has established and maintained a tradition of scholarly excellence in the publication of genetics research. Virtually every major figure in the field has contributed to the journal. Established in 1903, Journal of Heredity covers organismal genetics across a wide range of disciplines and taxa. Articles include such rapidly advancing fields as conservation genetics of endangered species, population structure and phylogeography, molecular evolution and speciation, molecular genetics of disease resistance in plants and animals, genetic biodiversity and relevant computer programs.