Decoding the Complex Genetic Network of Antimicrobial Resistance in Campylobacter jejuni using Advanced Gene Network Analysis

Abstract

Abstract One of the biggest threats to public health in the 21st century is antimicrobial resistance (AMR), which happens when bacteria change and make antibiotics that treat infections less effective. Understanding the AMR genes that impart the resistance to multidrug resistance is vital to comprehend the issue. Campylobacter jejuni, which has AMR genes, is the focus of our study. For the evolutionary examination of the genes and their variations, phylogenetic analysis has been conducted. To further our insight, The construction and analysis of a gene interaction network with 39 functional relationships. The clustering analysis revealed two interconnected clusters (C1, C2) that are associated with AMR processes. In functional enrichment analysis, Cellular components (CCs), Molecular Functions (MFs), and Biological Processes (BPs) were observed to have massive involvement. Resistance is inherited by Gram-positive bacteria via mutations in the rpl genes, which code for ribosomal proteins. The gene network analysis revealed genes rplE, rplV, rplG, rplK, rplA, rplJ, rpsE, rplB, rpsL, and rpmA interacting with their functional counterparts as frequently as feasible and can be considered as hub genes. Understanding the molecular mechanisms of AMR can be achieved by analyzing the ribosome pathway’s enriched KEGG pathway is essential for comprehending antibiotic resistance.A further benefit of the study is that it may help researchers create new drug-resistant strains of bacteria treatments for C. jejuni.