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Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
Published on: December 9, 2012
Adaptive walks toward a moving optimum
Sinéad Collins1, Juliette de Meaux, Claudia Acquisti
1Max Planck Institute for Plant Breeding Research, Cologne 50829, Germany. collins@mpiz-koeln.mpg.de
Environmental change speed impacts natural selection. Slower changes lead to more fit organisms but fewer possible outcomes, suggesting gradual environmental shifts differ from sudden ones in evolutionary studies.
Area of Science:
- Evolutionary biology
- Genetics
- Biophysics
Background:
- Natural selection drives adaptation.
- Environmental changes can be gradual or sudden.
- Understanding adaptation dynamics is crucial for predicting evolutionary trajectories.
Purpose of the Study:
- To investigate how environmental change speed affects adaptation dynamics and outcomes.
- To model adaptive walks using RNA sequences under varying temperature changes.
- To compare evolutionary responses to gradual versus sudden environmental shifts.
Main Methods:
- Simulated adaptive walks in monomorphic lineages.
- Used short RNA sequences selected for stability and structure conservation.
- Varied the speed of environmental change (increasing temperature).
Main Results:
- Slower environmental change reduced the fitness effect of beneficial mutations.
- Adaptation to slower change led to fitter endpoints with fewer possible phenotypes.
- The timing of major evolutionary substitutions shifted with change speed.
Conclusions:
- Gradual environmental changes yield different adaptive outcomes than sudden changes.
- Predictions from sudden environmental change experiments may not apply to gradual changes.
- Environmental stability is a key factor influencing the speed and direction of evolution.
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