An omics-based framework for investigating the emerging antibiotic resistance gene: The case of estT

IF 8.5 1区 生物学 Q1 MICROBIOLOGY
Microbiological research Pub Date : 2026-02-01 Epub Date: 2025-10-24 DOI:10.1016/j.micres.2025.128377
Xueqiang Xin , Kai Peng , Qiaojun Wang , Mashkoor Mohsin , Antonio Ruzzini , Zhiqiang Wang , Ruichao Li
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引用次数: 0

Abstract

The escalating prevalence of antimicrobial resistance (AMR) constitutes a global public health crisis. This is exacerbated by the continuous emergence of new variants and the discovery of previously unrecognized antibiotic resistance genes (ARGs). While advanced AMR surveillance efforts include time-consuming epidemiological investigations and retrospective analyses, critical gaps often remain towards our understanding of the sources of newly identified ARGs. Here, we established a framework integrating omics-based epidemiological investigations, genomic feature analysis of ARGs-carrying bacteria and evolution analysis of novel ARGs. We took the novel resistance gene estT as an example and analyzed it following this framework. Our study revealed that the estT gene was widely prevalent, capable of cross-phyla transmission, and predominantly present in human- and animal-derived bacteria. We explored the genomic characteristics of estT-positive Escherichia coli, Bacillus spp., Mannheimia haemolytica, and Riemerella anatipestifer, uncovering their public health risks. Evolution analysis of estT homologs found historical connections between estTs and tet(X)s. This study provides a systematic strategy for the proactive surveillance of emerging ARGs, enabling omics-data-driven monitoring of ARG evolution and dissemination to mitigate the escalating crisis of AMR.
基于组学的研究新出现的抗生素耐药基因的框架:以est为例。
抗菌素耐药性(AMR)的日益流行构成了一场全球公共卫生危机。新变种的不断出现和以前未被识别的抗生素耐药基因(ARGs)的发现加剧了这种情况。虽然先进的抗菌素耐药性监测工作包括耗时的流行病学调查和回顾性分析,但我们对新发现的ARGs来源的理解往往存在重大差距。在此,我们建立了一个整合基于组学的流行病学调查、携带ARGs细菌的基因组特征分析和新型ARGs进化分析的框架。本文以新型耐药基因estT为例,在此框架下进行了分析。我们的研究表明,estT基因广泛存在,能够跨门传播,主要存在于人类和动物来源的细菌中。我们研究了est阳性的大肠杆菌、芽孢杆菌、溶血性曼海默氏菌和鸭疫里默氏菌的基因组特征,揭示了它们的公共卫生风险。对est同源物的进化分析发现,est与tet(X)s之间存在历史联系。本研究为主动监测新出现的ARG提供了系统策略,使组学数据驱动的ARG演变和传播监测能够缓解不断升级的抗菌素耐药性危机。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Microbiological research
Microbiological research 生物-微生物学
CiteScore
10.90
自引率
6.00%
发文量
249
审稿时长
29 days
期刊介绍: Microbiological Research is devoted to publishing reports on prokaryotic and eukaryotic microorganisms such as yeasts, fungi, bacteria, archaea, and protozoa. Research on interactions between pathogenic microorganisms and their environment or hosts are also covered.
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