Jeong Hyeonsoo, Nasir Arshan
Department of Animal Sciences, University of Illinois at Urbana-ChampaignUrbana, IL, United States.
Department of Biosciences, COMSATS Institute of Information TechnologyIslamabad, Pakistan.
Front Genet. 2017 Aug 28;8:112. doi: 10.3389/fgene.2017.00112. eCollection 2017.
Genome-wide global detection of genes involved in horizontal gene transfer (HGT) remains an active area of research in medical microbiology and evolutionary genomics. Utilizing the explicit evolutionary method of comparing topologies of a total of 154,805 orthologous gene trees against corresponding 16S rRNA "reference" trees, we previously detected a total of 660,894 candidate HGT events in 2,472 completely-sequenced prokaryotic genomes. Here, we report an HGT-index for each individual gene-reference tree pair reconciliation, representing the total number of detected HGT events on the gene tree divided by the total number of genomes (taxa) member of that tree. HGT-index is thus a simple measure indicating the sensitivity of prokaryotic genes to participate (or not participate) in HGT. Our preliminary list provides HGT-indices for a total of 69,365 genes (detected in >10 and <50% available prokaryotic genomes) that are involved in a wide range of biological processes such as metabolism, information, and bacterial response to environment. Identification of horizontally-derived genes is important to combat antibiotic resistance and is a step forward toward reconstructions of improved phylogenies describing the history of life. Our effort is thus expected to benefit ongoing research in the fields of clinical microbiology and evolutionary biology.
全基因组范围内对参与水平基因转移(HGT)的基因进行全面检测,仍然是医学微生物学和进化基因组学中一个活跃的研究领域。利用将总共154,805个直系同源基因树的拓扑结构与相应的16S rRNA“参考”树进行比较的明确进化方法,我们之前在2472个全测序原核生物基因组中总共检测到660,894个候选HGT事件。在此,我们报告了每个基因-参考树对比对的HGT指数,它表示基因树上检测到的HGT事件总数除以该树的基因组(分类单元)成员总数。因此,HGT指数是一种简单的度量,表明原核基因参与(或不参与)HGT的敏感性。我们的初步列表提供了总共69365个基因的HGT指数(在超过10%且小于50%的可用原核生物基因组中检测到),这些基因参与了广泛的生物过程,如代谢、信息传递以及细菌对环境的反应。鉴定水平获得的基因对抗击抗生素耐药性很重要,并且是朝着重建描述生命历史的改进系统发育迈出的一步。因此,我们的工作有望使临床微生物学和进化生物学领域正在进行的研究受益。