Fields Francisco R, Lee Shaun W, McConnell Michael J
Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, United States.
Biomedical Institute of Seville, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Sevilla, Spain.
Biochem Pharmacol. 2017 Jun 15;134:74-86. doi: 10.1016/j.bcp.2016.12.002. Epub 2016 Dec 8.
The shrinking antibiotic development pipeline together with the global increase in antibiotic resistant infections requires that new molecules with antimicrobial activity are developed. Traditional empirical screening approaches of natural and non-natural compounds have identified the majority of antibiotics that are currently available, however this approach has produced relatively few new antibiotics over the last few decades. The vast amount of bacterial genome sequence information that has become available since the sequencing of the first bacterial genome more than 20years ago holds potential for contributing to the discovery of novel antimicrobial compounds. Comparative genomic approaches can identify genes that are highly conserved within and between bacterial species, and thus may represent genes that participate in key bacterial processes. Whole genome mutagenesis studies can also identify genes necessary for bacterial growth and survival under different environmental conditions, making them attractive targets for the development of novel inhibitory compounds. In addition, transcriptomic and proteomic approaches can be used to characterize RNA and protein levels on a cellular scale, providing information on bacterial physiology that can be applied to antibiotic target identification. Finally, bacterial genomes can be mined to identify biosynthetic pathways that produce many intrinsic antimicrobial compounds and peptides. In this review, we provide an overview of past and current efforts aimed at using bacterial genomic data in the discovery and development of novel antibiotics.
抗生素研发渠道的萎缩,以及全球抗生素耐药性感染的增加,都需要研发具有抗菌活性的新分子。传统的对天然和非天然化合物进行经验性筛选的方法,已经确定了目前可用的大多数抗生素,然而在过去几十年里,这种方法产生的新抗生素相对较少。自20多年前第一个细菌基因组测序以来,大量可获得的细菌基因组序列信息,为发现新型抗菌化合物提供了潜力。比较基因组学方法可以识别细菌物种内部和之间高度保守的基因,因此这些基因可能代表参与关键细菌过程的基因。全基因组诱变研究还可以识别细菌在不同环境条件下生长和存活所必需的基因,使其成为新型抑制性化合物开发的有吸引力的靶点。此外,转录组学和蛋白质组学方法可用于在细胞水平上表征RNA和蛋白质水平,提供可应用于抗生素靶点识别的细菌生理学信息。最后,可以挖掘细菌基因组以识别产生许多内在抗菌化合物和肽的生物合成途径。在这篇综述中,我们概述了过去和当前旨在利用细菌基因组数据发现和开发新型抗生素的努力。