Transcriptomic analysis reveals pathways underlying the multi-antibiotic resistance of Klebsiella pneumoniae.

IF 1.9 4区 生物学 Q4 CELL BIOLOGY
Ying Liu, Zhihui Niu, Rile Wu, Dezhi Yang, Jun Chen, Guoqing Liu, Jun Zhao
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Abstract

Klebsiella pneumoniae, an opportunistic pathogen, is pervasively distributed across the world. Its escalating antibiotic resistance poses a serious threat to global public health. The mechanisms behind this resistance remain largely elusive. In this study, we performed antibiotic susceptibility testing on several clinical isolates of Klebsiella pneumoniae, and a reference strain ATCC13883, and then analysed their transcriptomic profiles to identify genes and pathways associated with antibiotic resistance. Our results showed that a clinical isolate DY16KPN may counteract antibiotics by enhancing the biosynthesis of building blocks of bacterial cell, such as fatty acids, proteins, and DNA, and reducing transmembrane transport. Increased butanoate metabolism and lipopolysaccharide biosynthesis may also contribute to the drug-resistance of Klebsiella pneumoniae. Additionally, we identified resistance-promoting mutations in gene promoter regions, which regulate the activity of downstream drug-resistant genes and pathways. Our results also demonstrated that DY16KPN counterbalances the trimethoprim/sulfamethoxazole-mediated inhibitory effect on the synthesis of tetrahydrofolates and DNA by up-regulating the expression of targeted enzymes of trimethoprim/sulfamethoxazole, dihydrofolate reductase and dihydropteroate synthase.

转录组学分析揭示了肺炎克雷伯菌多重抗生素耐药性的潜在途径。
肺炎克雷伯菌是一种机会性病原体,在世界各地普遍分布。其不断升级的抗生素耐药性对全球公共卫生构成严重威胁。这种抵抗背后的机制在很大程度上仍然难以捉摸。在这项研究中,我们对几个临床分离的肺炎克雷伯菌和一株参考菌株ATCC13883进行了抗生素敏感性测试,然后分析了它们的转录组学特征,以确定与抗生素耐药性相关的基因和途径。我们的研究结果表明,临床分离物DY16KPN可能通过增强细菌细胞组成部分(如脂肪酸、蛋白质和DNA)的生物合成,并减少跨膜运输来抵消抗生素。丁酸代谢和脂多糖生物合成的增加也可能有助于肺炎克雷伯菌的耐药。此外,我们在基因启动子区域发现了促进耐药的突变,该区域调节下游耐药基因和途径的活性。我们的研究结果还表明,DY16KPN通过上调甲氧苄啶/磺胺甲恶唑、二氢叶酸还原酶和二氢叶酸合酶的目标酶的表达,抵消了甲氧苄啶/磺胺甲恶唑介导的对四氢叶酸和DNA合成的抑制作用。
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
IET Systems Biology
IET Systems Biology 生物-数学与计算生物学
CiteScore
4.20
自引率
4.30%
发文量
17
审稿时长
>12 weeks
期刊介绍: IET Systems Biology covers intra- and inter-cellular dynamics, using systems- and signal-oriented approaches. Papers that analyse genomic data in order to identify variables and basic relationships between them are considered if the results provide a basis for mathematical modelling and simulation of cellular dynamics. Manuscripts on molecular and cell biological studies are encouraged if the aim is a systems approach to dynamic interactions within and between cells. The scope includes the following topics: Genomics, transcriptomics, proteomics, metabolomics, cells, tissue and the physiome; molecular and cellular interaction, gene, cell and protein function; networks and pathways; metabolism and cell signalling; dynamics, regulation and control; systems, signals, and information; experimental data analysis; mathematical modelling, simulation and theoretical analysis; biological modelling, simulation, prediction and control; methodologies, databases, tools and algorithms for modelling and simulation; modelling, analysis and control of biological networks; synthetic biology and bioengineering based on systems biology.
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