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Published on: March 24, 2023
Plasmid-bacteria associations in the clinical context
Laura Toribio-Celestino1, Alvaro San Millan2
1Centro Nacional de Biotecnología (CNB-CSIC), Madrid, Spain.
Abstract:
Antimicrobial resistance (AMR) is one of the most pressing global health problems, with plasmids playing a central role in its evolution and dissemination. Over the past decades, many studies have investigated the ecoevolutionary dynamics between plasmids and their bacterial hosts. However, what drives the epidemiological success of certain plasmid-bacterium associations remains unclear. In this opinion article, we review which factors influence these associations and underline that studying plasmid-host interactions of clinical relevance is critical for understanding the evolution and spread of AMR. We also highlight the increasing importance of integrating experimental research with bioinformatics and machine learning tools to study plasmid-bacteria dynamics. This combined approach will assist researchers to dissect the molecular mechanisms underlying successful plasmid-host associations and to design strategies to prevent and predict future high-risk associations.
Insights
Antimicrobial resistance (AMR) is a major global health threat. Understanding plasmid-host interactions is key to controlling AMR spread, requiring integrated experimental and computational approaches.
Area of Science:
- Microbiology
- Evolutionary Biology
- Public Health
Background:
- Antimicrobial resistance (AMR) poses a significant global health challenge.
- Plasmids are key drivers in the evolution and spread of AMR.
- Factors determining the epidemiological success of plasmid-bacterium associations are not fully understood.
Purpose of the Study:
- To review factors influencing plasmid-host associations in AMR.
- To emphasize the importance of studying clinically relevant plasmid-host interactions.
- To highlight the integration of experimental and computational methods for studying AMR dynamics.
Main Methods:
- Review of existing literature on plasmid-host dynamics and AMR.
- Discussion of factors influencing the epidemiological success of plasmid-bacterium associations.
- Emphasis on integrating experimental research with bioinformatics and machine learning.
Main Results:
- Certain plasmid-bacterium associations exhibit epidemiological success due to various influencing factors.
- Studying plasmid-host interactions is critical for understanding AMR evolution and spread.
- Integrated approaches combining experimental and computational tools are increasingly important.
Conclusions:
- Understanding the drivers of successful plasmid-host associations is crucial for combating AMR.
- Integrated research strategies are essential for dissecting molecular mechanisms and predicting future AMR trends.
- This approach will aid in developing effective strategies to prevent and predict high-risk AMR associations.
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