定量蛋白质组学研究嗜水气单胞菌对链霉素的内在适应机制

IF 3.4 4区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS Proteomics Pub Date : 2024-05-03 DOI:10.1002/pmic.202300383
Shuangziying Zhang, Wenxiao Yang, Yuyue Xie, Xinrui Zhao, Haoyu Chen, Lishan Zhang, Xiangmin Lin
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引用次数: 0

摘要

嗜水气单胞菌(Aeromonas hydrophila)是水产养殖业中的一种常见病原体,其耐药菌株带来了巨大挑战。此外,在水产养殖环境中广泛使用的链霉素等抗生素的残留会推动细菌的选择性进化,从而导致对这种药剂产生抗药性。然而,其对抗生素内在适应性的潜在机制仍然难以捉摸。在此,我们采用定量蛋白质组学方法研究了链霉素(SM)应激条件下和非应激条件下嗜水蝇蛋白质表达的差异。值得注意的是,生物信息学分析揭示了金属通路的潜在参与,包括金属簇结合、铁硫簇结合和过渡金属离子结合,这些通路影响了嗜水蝇对链霉素的耐药性。此外,我们还评估了八个基因缺失菌株对链霉素的敏感性,并观察了 petA 和 AHA_4705 在 SM 抗性中的潜在作用。总之,我们的研究结果加深了人们对嗜水蝇对链霉素应激反应行为的理解,并揭示了其内在的适应机制。
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Quantitative proteomics investigating the intrinsic adaptation mechanism of Aeromonas hydrophila to streptomycin
Aeromonas hydrophila, a prevalent pathogen in the aquaculture industry, poses significant challenges due to its drug‐resistant strains. Moreover, residues of antibiotics like streptomycin, extensively employed in aquaculture settings, drive selective bacterial evolution, leading to the progressive development of resistance to this agent. However, the underlying mechanism of its intrinsic adaptation to antibiotics remains elusive. Here, we employed a quantitative proteomics approach to investigate the differences in protein expression between A. hydrophila under streptomycin (SM) stress and nonstress conditions. Notably, bioinformatics analysis unveiled the potential involvement of metal pathways, including metal cluster binding, iron‐sulfur cluster binding, and transition metal ion binding, in influencing A. hydrophilas resistance to SM. Furthermore, we evaluated the sensitivity of eight gene deletion strains related to streptomycin and observed the potential roles of petA and AHA_4705 in SM resistance. Collectively, our findings enhance the understanding of A. hydrophilas response behavior to streptomycin stress and shed light on its intrinsic adaptation mechanism.
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来源期刊
Proteomics
Proteomics 生物-生化研究方法
CiteScore
6.30
自引率
5.90%
发文量
193
审稿时长
3 months
期刊介绍: PROTEOMICS is the premier international source for information on all aspects of applications and technologies, including software, in proteomics and other "omics". The journal includes but is not limited to proteomics, genomics, transcriptomics, metabolomics and lipidomics, and systems biology approaches. Papers describing novel applications of proteomics and integration of multi-omics data and approaches are especially welcome.
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