The ecology of plasmid-coded antibiotic resistance: a basic framework for experimental research and modeling

Area of Science:

• Microbial Ecology
• Genetics
• Environmental Science

Background:

• Antibiotic resistance genes (ARGs) are frequently located on plasmids, which are mobile genetic elements.
• The ecological success and propagation of plasmids depend on various mechanisms, including conjugation and coevolutionary adaptations, not solely environmental selection.
• Interactions with other bacterial species and plasmid types in complex communities influence plasmid dynamics.

Purpose of the Study:

• To summarize key plasmid properties and ecological principles relevant to the persistence of plasmid-coded antibiotic resistance in aquatic environments.
• To introduce simulation models, such as ordinary differential equations and individual-based models, as tools for studying complex plasmid-host-environment systems.
• To provide an ecological perspective for better understanding the dynamics, diversity, and persistence of plasmids and associated ARGs.

Main Methods:

• Review of basic plasmid properties and ecological principles.
• Discussion of plasmid transfer mechanisms like conjugation and their regulation.
• Introduction to simulation modeling approaches (ordinary differential equations, individual-based models) with examples.

Main Results:

• Plasmids employ diverse mechanisms for propagation, including conjugation and coevolutionary genetic adaptations.
• Environmental selection is not the sole driver; plasmid costs and transfer efficiency significantly impact their ecological success.
• Complex microbial communities introduce intricate interactions affecting plasmid dynamics and ARG persistence.

Conclusions:

• An ecological perspective is essential for comprehending the persistence and spread of antibiotic resistance.
• Simulation models offer valuable insights into the complex dynamics of plasmids and ARGs in microbial communities.
• Further research integrating ecological principles and modeling is needed to effectively manage antibiotic resistance in aquatic ecosystems.