肠道细菌耐药质粒转移基因数据库的建立

IF 2.8 Q2 MATHEMATICAL & COMPUTATIONAL BIOLOGY Frontiers in bioinformatics Pub Date : 2023-11-14 DOI:10.3389/fbinf.2023.1279359
Suad Algarni, Steven L. Foley, Hailin Tang, Shaohua Zhao, Dereje D. Gudeta, Bijay K. Khajanchi, Steven C. Ricke, Jing Han
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摘要

IV型分泌系统(t4ss)是肠道细菌结合过程的组成部分。这些分泌系统在质粒的转移(tra)区域内编码,包括那些含有抗菌素耐药性(AMR)基因的区域。耐药质粒的共轭转移可导致抗菌素耐药性在细菌群体中的传播。方法:为了便于结合相关基因的分析,鉴定了与AMR质粒关键组相关的转移相关基因,从GenBank中提取并用于生成质粒转移基因数据集,该数据集是FDA毒力和质粒转移因子数据库的一部分,作为比较共轭转移基因的计算工具的基础。为了评估转移基因数据库的遗传特征,在不同的质粒类型中比较相同名称的基因/蛋白质(例如,traI/ traI)或预测功能(VirD4 ATPase同源物),以评估序列多样性。开发了质粒转移因子谱评估和质粒转移因子比较两种分析工具,用于评估质粒上的转移基因,并便于对多个序列文件中的质粒进行比较。为了评估数据库和相关工具,我们从GenBank和实验室之前的WGS实验中提取质粒和全基因组测序(WGS)数据,并使用分析工具进行评估。结果:总体而言,质粒转移数据库和相关工具被证明对评估不同类型的质粒及其与t4ss的关系非常有用,并且增加了我们对结合质粒如何促进AMR基因传播的理解。
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Development of an antimicrobial resistance plasmid transfer gene database for enteric bacteria
Introduction: Type IV secretion systems (T4SSs) are integral parts of the conjugation process in enteric bacteria. These secretion systems are encoded within the transfer ( tra ) regions of plasmids, including those that harbor antimicrobial resistance (AMR) genes. The conjugal transfer of resistance plasmids can lead to the dissemination of AMR among bacterial populations. Methods: To facilitate the analyses of the conjugation-associated genes, transfer related genes associated with key groups of AMR plasmids were identified, extracted from GenBank and used to generate a plasmid transfer gene dataset that is part of the Virulence and Plasmid Transfer Factor Database at FDA, serving as the foundation for computational tools for the comparison of the conjugal transfer genes. To assess the genetic feature of the transfer gene database, genes/proteins of the same name (e.g., traI/ TraI) or predicted function (VirD4 ATPase homologs) were compared across the different plasmid types to assess sequence diversity. Two analyses tools, the Plasmid Transfer Factor Profile Assessment and Plasmid Transfer Factor Comparison tools, were developed to evaluate the transfer genes located on plasmids and to facilitate the comparison of plasmids from multiple sequence files. To assess the database and associated tools, plasmid, and whole genome sequencing (WGS) data were extracted from GenBank and previous WGS experiments in our lab and assessed using the analysis tools. Results: Overall, the plasmid transfer database and associated tools proved to be very useful for evaluating the different plasmid types, their association with T4SSs, and increased our understanding how conjugative plasmids contribute to the dissemination of AMR genes.
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