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Feedback between environment and traits under selection in a seasonal environment: consequences for experimental
Dorian Collot1, Thibault Nidelet2, Johan Ramsayer1,2
1GQE-Le Moulon, INRA, Univ. Paris-Sud, CNRS, AgroParisTech, Université Paris-Saclay, 91190 Gif-sur-Yvette, France.
Experimental evolution in batch cultures reveals that yeast adaptation involves selection on life-history and transition traits. Eco-evolutionary feedbacks influence selection strength and season length in these seasonal environments.
Area of Science:
- Evolutionary biology
- Microbial ecology
- Mathematical modeling
Background:
- Batch cultures are common for studying adaptation in experimental evolution.
- Selection in batch cultures can extend beyond growth rate to other fitness components.
- Recurrent batch cultures create seasonal environments with fluctuating selection pressures.
Purpose of the Study:
- To investigate which traits are selected for in yeast (Saccharomyces cerevisiae) adapting in seasonal batch cultures.
- To understand the impact of environmental conditions and eco-evolutionary feedbacks on trait selection.
- To develop a mathematical model for analyzing adaptation dynamics in batch culture systems.
Main Methods:
- Utilized data from an experimental evolution study on Saccharomyces cerevisiae.
- Developed a mathematical model to analyze selection pressures and trait evolution.
- Examined the influence of season length on selection for different traits.
Main Results:
- Identified two key types of selected traits: life-history traits (growth, mortality) and transition traits (environmental response).
- Demonstrated that season length in batch cultures dictates the strength of selection on associated traits.
- Showed that phenotypes influence season length, leading to emergent eco-evolutionary feedbacks.
Conclusions:
- Adaptation in seasonal batch cultures involves complex interactions between organisms and their environment.
- Eco-evolutionary feedbacks significantly shape the evolutionary trajectory by altering selection strengths and environmental dynamics.
- The study highlights the importance of considering environmental context and feedback loops in experimental evolution research.
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