基因组组装和对全球入侵红气孔球(Pycnonotus cafer)的认识。

IF 2.9 2区 生物学 Q1 GENETICS & HEREDITY
Martin Abraham Puthumana, Manohar S Bisht, Mitali Singh, Vineet K Sharma
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引用次数: 0

摘要

红头鹎(Pycnonotus cafer)是热带雀形目鸟类中最具入侵性的一种。我们完成了P. cafer的基因组和转录组测序,以探索其侵袭性的基因组基础,并组装了1.03 Gb和15,533个蛋白质编码基因,N50为3.04 Mb, BUSCO完整性为97.2%。本研究首次构建了黄颡鱼有丝分裂基因组和18S rRNA标记基因。此外,我们调查了种群历史,并确定了该物种最近经历的遗传瓶颈。我们建立了黄颡鱼的系统发育位置,并对其基因家族进化和同源基因聚类进行了研究,以期为了解黄颡鱼的入侵特征提供线索。因此,我们的研究为未来入侵基因组学研究和外来范围鸟类的可能管理提供了重要的资源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Genome Assembly and Insights into Globally Invasive Red-vented Bulbul (Pycnonotus cafer).

The Red-vented Bulbul (Pycnonotus cafer) of the Pycnonotidae family is one of the most invasive tropical passerine bird species. We accomplished the genome and transcriptome sequencing of P. cafer to explore the genomic basis of invasiveness and assembled the genome size of 1.03 Gb and 15,533 protein-coding genes with an N50 of 3.04 Mb and 97.2% BUSCO completeness. Our study constructed the mitogenome and 18S rRNA marker gene of P. cafer for the first time. Further, we investigated the demographic history and identified recent genetic bottlenecks the species experienced. We established the phylogenetic position of P. cafer and examined the gene family evolution along with orthologous gene clustering to provide clues on the invasive characteristics of P. cafer. Our study thus serves as a significant resource for future studies in invasion genomics and the possible management of this bird species in alien ranges.

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来源期刊
DNA Research
DNA Research 生物-遗传学
CiteScore
6.00
自引率
4.90%
发文量
39
审稿时长
4.5 months
期刊介绍: DNA Research is an internationally peer-reviewed journal which aims at publishing papers of highest quality in broad aspects of DNA and genome-related research. Emphasis will be made on the following subjects: 1) Sequencing and characterization of genomes/important genomic regions, 2) Comprehensive analysis of the functions of genes, gene families and genomes, 3) Techniques and equipments useful for structural and functional analysis of genes, gene families and genomes, 4) Computer algorithms and/or their applications relevant to structural and functional analysis of genes and genomes. The journal also welcomes novel findings in other scientific disciplines related to genomes.
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