Usnic acid impacts energy production and iron metabolism in Mycobacterium tuberculosis H37Rv.

IF 4.6 2区 生物学 Q1 MICROBIOLOGY mSystems Pub Date : 2025-05-20 Epub Date: 2025-04-09 DOI:10.1128/msystems.00256-25
Rafał Sawicki, Anna Zabost, Grzegorz Jankowski, Ewa Augustynowicz-Kopeć, Wiesław Truszkiewicz, Elwira Sieniawska
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Abstract

Mycobacterium tuberculosis has developed a wide array of response mechanisms to various stress factors. Usnic acid has been demonstrated to be a potent antimycobacterial agent that induces stress responses and growth inhibition in many mycobacterial species. Previous studies have shown that it alters the expression of stress-responsive sigma factors, as well as the metabolites and lipid profile in M. tuberculosis H37Ra. This study was designed to examine potential differences in the strain-specific susceptibility of the virulent H37Rv strain to usnic acid. By combining lipidomic and transcriptomic analyses, we uncovered the impact of usnic acid on bacterial metabolism. The observed downregulation of key lipid classes suggested reduced metabolic activity. The simultaneous elevation of mycobactins-siderophores used by members of the genus Mycobacterium to transport free extracellular iron ions into the cytoplasm-indicated the involvement of iron in the stress response generated by usnic acid. The repressed tricarboxylic acid (TCA) cycle and oxidative phosphorylation were compensated by the upregulation of alternative energy production pathways, such as cytochrome P450 and the ferredoxin reductase system. This indicates that mycobacteria may switch to alternative electron transport mechanisms under usnic acid stress using iron-sulfur clusters to generate energy. From a therapeutic perspective, the study highlights iron metabolism as an essential drug target in mycobacteria. Simultaneously, the results confirm the strain-specific metabolic response of sister strains against the same stressing agent.

Importance: A previous study on the influence of usnic acid on the avirulent H37Ra strain revealed that the early bacterial response was associated with redox homeostasis, lipid synthesis, and nucleic acid repair. The response of bacteria to antimicrobials is specific to each species and strain. Given the genetic and phenotypic differences between the avirulent H37Ra strain and the virulent H37Rv strain, we combined lipidomics and global transcriptomics to uncover the mechanism of action of usnic acid against H37Rv. The study identified strain-specific differences between the virulent H37Rv and avirulent H37Ra. The H37Ra strain exhibited increased metabolic activity, while the H37Rv strain showed a reduction in basic metabolic processes and activated alternative iron-dependent energy production. These differences highlight the varying susceptibility of sister strains within the same species to the same antibacterial agent.

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鸟苷酸影响结核分枝杆菌 H37Rv 的能量生产和铁代谢。
结核分枝杆菌对各种应激因素形成了广泛的反应机制。Usnic酸已被证明是一种有效的抗真菌剂,在许多分枝杆菌种类中诱导应激反应和生长抑制。先前的研究表明,它改变了结核分枝杆菌H37Ra的应激反应sigma因子的表达,以及代谢产物和脂质谱。本研究旨在检测毒力强的H37Rv菌株对茴香酸的菌株特异性敏感性的潜在差异。通过结合脂质组学和转录组学分析,我们发现了usic酸对细菌代谢的影响。观察到的关键脂类下调表明代谢活性降低。分枝杆菌素(Mycobacterium属的成员用来将游离的胞外铁离子运输到细胞质中的铁载体)的同时升高表明铁参与了由usnic酸产生的应激反应。被抑制的三羧酸(TCA)循环和氧化磷酸化通过细胞色素P450和铁氧还蛋白还原酶系统等替代能量产生途径的上调来补偿。这表明在usnic酸胁迫下,分枝杆菌可能会转向利用铁硫团簇产生能量的替代电子传递机制。从治疗的角度来看,该研究强调了铁代谢作为分枝杆菌必不可少的药物靶点。同时,结果证实了姐妹菌株对同一胁迫剂的菌株特异性代谢反应。重要性:先前一项关于usic酸对无毒H37Ra菌株影响的研究表明,早期细菌反应与氧化还原稳态、脂质合成和核酸修复有关。细菌对抗菌剂的反应对每个物种和菌株都是特定的。鉴于H37Ra毒株和H37Rv毒株在遗传和表型上的差异,我们结合脂质组学和全球转录组学来揭示usic酸对H37Rv的作用机制。该研究确定了致病性H37Rv和致病性H37Ra之间的菌株特异性差异。H37Ra菌株的代谢活性增加,而H37Rv菌株的基本代谢过程减少,并激活了铁依赖性替代能量的产生。这些差异突出了同一物种内姊妹菌株对同一抗菌剂的不同敏感性。
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来源期刊
mSystems
mSystems Biochemistry, Genetics and Molecular Biology-Biochemistry
CiteScore
10.50
自引率
3.10%
发文量
308
审稿时长
13 weeks
期刊介绍: mSystems™ will publish preeminent work that stems from applying technologies for high-throughput analyses to achieve insights into the metabolic and regulatory systems at the scale of both the single cell and microbial communities. The scope of mSystems™ encompasses all important biological and biochemical findings drawn from analyses of large data sets, as well as new computational approaches for deriving these insights. mSystems™ will welcome submissions from researchers who focus on the microbiome, genomics, metagenomics, transcriptomics, metabolomics, proteomics, glycomics, bioinformatics, and computational microbiology. mSystems™ will provide streamlined decisions, while carrying on ASM''s tradition of rigorous peer review.
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