Javier DelaFuente, Juan Diaz-Colunga, Alvaro Sanchez, Alvaro San Millan
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引用次数: 0
摘要
细菌的抗菌药耐药性(AMR)是一个重大的公共卫生威胁,而共轭质粒在细菌病原体之间传播 AMR 基因方面起着关键作用。有趣的是,AMR 质粒与病原体之间的关联并不是随机的,某些关联会在全球范围内成功传播。基因组测序的突飞猛进提高了流行病学计划的分辨率,扩大了我们对细菌种群中质粒分布的了解。尽管这些研究价值巨大,但我们预测未来质粒-细菌关联的能力仍然有限。最近,许多实证研究报告了遗传相互作用的系统模式,这种模式具有可预测性,即所谓的全局外显现象。从这个角度来看,我们认为全局外显率模式有可能预测质粒和细菌基因组之间的相互作用,从而促进对未来成功关联的预测。为了评估这一观点的正确性,我们利用以前发表的数据来确定临床相关质粒-细菌关联中的全局外显率模式。此外,我们还利用简单的抗生素耐药性机理模型,说明全局表观遗传模式如何让我们对质粒-细菌成功结合的相关机理提出新的假设。总之,我们旨在说明在质粒生物学背景下探索全局表观性的意义。
Global epistasis in plasmid-mediated antimicrobial resistance.
Antimicrobial resistance (AMR) in bacteria is a major public health threat and conjugative plasmids play a key role in the dissemination of AMR genes among bacterial pathogens. Interestingly, the association between AMR plasmids and pathogens is not random and certain associations spread successfully at a global scale. The burst of genome sequencing has increased the resolution of epidemiological programs, broadening our understanding of plasmid distribution in bacterial populations. Despite the immense value of these studies, our ability to predict future plasmid-bacteria associations remains limited. Numerous empirical studies have recently reported systematic patterns in genetic interactions that enable predictability, in a phenomenon known as global epistasis. In this perspective, we argue that global epistasis patterns hold the potential to predict interactions between plasmids and bacterial genomes, thereby facilitating the prediction of future successful associations. To assess the validity of this idea, we use previously published data to identify global epistasis patterns in clinically relevant plasmid-bacteria associations. Furthermore, using simple mechanistic models of antibiotic resistance, we illustrate how global epistasis patterns may allow us to generate new hypotheses on the mechanisms associated with successful plasmid-bacteria associations. Collectively, we aim at illustrating the relevance of exploring global epistasis in the context of plasmid biology.
期刊介绍:
Systems biology is a field that aims to understand complex biological systems by studying their components and how they interact. It is an integrative discipline that seeks to explain the properties and behavior of these systems.
Molecular Systems Biology is a scholarly journal that publishes top-notch research in the areas of systems biology, synthetic biology, and systems medicine. It is an open access journal, meaning that its content is freely available to readers, and it is peer-reviewed to ensure the quality of the published work.