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Testing the Role of Multicopy Plasmids in the Evolution of Antibiotic Resistance
Published on: May 2, 2018
Global epistasis in plasmid-mediated antimicrobial resistance
Javier DelaFuente1, Juan Diaz-Colunga1,2, Alvaro Sanchez3,4
1Centro Nacional de Biotecnología (CNB-CSIC), Madrid, Spain.
Abstract:
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.
Insights
Global epistasis patterns can predict successful antimicrobial resistance (AMR) plasmid-bacteria associations. This research explores these patterns to forecast future AMR gene spread and inform public health strategies.
Area of Science:
- Microbiology
- Genetics
- Epidemiology
Background:
- Antimicrobial resistance (AMR) is a significant global health challenge.
- Conjugative plasmids are key drivers in the spread of AMR genes among bacterial pathogens.
- Predicting successful plasmid-bacteria associations is crucial for public health but remains challenging.
Purpose of the Study:
- To explore the potential of global epistasis patterns in predicting plasmid-bacteria associations.
- To identify global epistasis patterns in clinically relevant plasmid-bacteria associations.
- To generate hypotheses on mechanisms driving successful plasmid-bacteria associations.
Main Methods:
- Analysis of previously published data on plasmid-bacteria associations.
- Identification of global epistasis patterns within these datasets.
- Application of simple mechanistic models of antibiotic resistance.
Main Results:
- Global epistasis patterns were identified in clinically relevant plasmid-bacteria associations.
- These patterns suggest predictability in plasmid-bacteria interactions.
- Mechanistic models illustrated how epistasis can explain successful associations.
Conclusions:
- Global epistasis offers a framework for predicting future antimicrobial resistance plasmid-bacteria associations.
- Understanding these patterns is vital for controlling the spread of AMR.
- Further research into global epistasis in plasmid biology is warranted.
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