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耐药性的遗传学见解:探索抗菌药物耐药基因与分子相互作用

Genetic insights into resistance: exploring AMR genes and molecular interactions.

作者信息

Selvam Prasanna Kumar, Mudipalli Elavarasu Santhosh, C George Priya Doss, Vasudevan Karthick

机构信息

Manipal Academy of Higher Education (MAHE), Manipal, India.

Institute of Bioinformatics, International Technology Park, Bangalore, India.

出版信息

Pathog Glob Health. 2025 May-Jun;119(3-4):87-98. doi: 10.1080/20477724.2025.2477337. Epub 2025 Mar 13.

DOI:10.1080/20477724.2025.2477337
PMID:40079538
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12086908/
Abstract

Antimicrobial resistance (AMR) among microorganisms remains a significant global concern in this century, posing an ongoing challenge for humanity. To solve this issue effectively, it is crucial to understand the genes responsible for AMR and how they create resistance. , which has AMR genes imparting resistance against numerous antibiotics, was the main subject of our investigation. We conducted a phylogenetic investigation to explore the evolutionary history of the gene network comprising , , , and , providing insights into their genetic relationships and evolutionary connections. A gene interaction network with 46 functional partners was built and examined from the STRING Database and Cytoscape to increase our understanding. According to Cluego's enrichment analysis, 20 genes are significantly involved in biological processes, as are 14 genes in cellular components and 16 genes in molecular functions. , and had the most interactions by Cytohubba when the degree and closeness of the network were studied, according to the gene interaction network analysis. Understanding the molecular basis of AMR requires analysis of the enriched pathways and Gene Ontologies (GO). The proposed study may also help researchers find new ways to battle the multidrug resistance of .

摘要

微生物中的抗菌耐药性(AMR)在本世纪仍然是一个重大的全球问题,给人类带来持续挑战。为有效解决这一问题,了解导致AMR的基因及其产生耐药性的方式至关重要。具有赋予对多种抗生素耐药性的AMR基因的[具体对象未提及]是我们研究的主要对象。我们进行了系统发育研究,以探索由[具体基因未提及]、[具体基因未提及]、[具体基因未提及]和[具体基因未提及]组成的基因网络的进化历史,深入了解它们的遗传关系和进化联系。从STRING数据库和Cytoscape构建并检查了一个具有46个功能伙伴的基因相互作用网络,以增进我们的理解。根据Cluego的富集分析,20个基因显著参与生物过程,14个基因参与细胞成分,16个基因参与分子功能。根据基因相互作用网络分析,在研究网络的度和接近度时,[具体基因未提及]、[具体基因未提及]和[具体基因未提及]通过Cytohubba具有最多的相互作用。了解AMR的分子基础需要分析富集的途径和基因本体(GO)。本研究还可能帮助研究人员找到对抗[具体对象未提及]多药耐药性的新方法。

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