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利用比较基因组学揭示细菌基因组中的外来基因。

Leveraging comparative genomics to uncover alien genes in bacterial genomes.

机构信息

Department of Biological Sciences and BioDiscovery Institute, University of North Texas, Denton, Texas, 76203, USA.

Department of Mathematics, University of North Texas, Denton, Texas, 76203, USA.

出版信息

Microb Genom. 2023 Jan;9(1). doi: 10.1099/mgen.0.000939.

Abstract

A significant challenge in bacterial genomics is to catalogue genes acquired through the evolutionary process of horizontal gene transfer (HGT). Both comparative genomics and sequence composition-based methods have often been invoked to quantify horizontally acquired genes in bacterial genomes. Comparative genomics methods rely on completely sequenced genomes and therefore the confidence in their predictions increases as the databases become more enriched in completely sequenced genomes. Recent developments including in microbial genome sequencing call for reassessment of alien genes based on information-rich resources currently available. We revisited the comparative genomics approach and developed a new algorithm for alien gene detection. Our algorithm compared favourably with the existing comparative genomics-based methods and is capable of detecting both recent and ancient transfers. It can be used as a standalone tool or in concert with other complementary algorithms for comprehensively cataloguing alien genes in bacterial genomes.

摘要

在细菌基因组学中,一个重大的挑战是对通过水平基因转移(HGT)进化过程获得的基因进行编目。比较基因组学和基于序列组成的方法经常被用来量化细菌基因组中水平获得的基因。比较基因组学方法依赖于完全测序的基因组,因此随着数据库中完全测序的基因组越来越丰富,它们的预测置信度也会提高。最近的发展,包括微生物基因组测序的发展,需要根据当前可用的信息丰富资源重新评估基于外来基因的信息。我们重新审视了比较基因组学方法,并开发了一种用于检测外来基因的新算法。我们的算法与现有的基于比较基因组学的方法相比具有优势,并且能够检测到近期和远古的转移。它可以作为一个独立的工具,也可以与其他互补算法一起用于全面编目细菌基因组中的外来基因。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3462/9973850/3f4fb09afcca/mgen-9-939-g001.jpg

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