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Effect of the Seed Bank on Evolutionary Rescue in Small Populations: Univariate and Multivariate Demogenetic Dynamics
The American Naturalist
|August 23, 2024
Summary
Seed banks can help small plant populations persist longer during global change by buffering against losses, but may initially slow adaptation. However, they can reshape genetic architecture, potentially accelerating adaptation under certain conditions.
Area of Science:
- Ecology and Evolutionary Biology
- Population Genetics
- Conservation Biology
Background:
- Seed banks play an uncertain role in evolutionary rescue under global change.
- They buffer populations from random events but can harbor maladapted genes and slow generational turnover.
Purpose of the Study:
- To predict the effect of seed banks on the persistence of annual plant populations facing directional environmental change.
- To investigate how seed banks influence evolutionary adaptation and genetic dynamics under global change scenarios.
Main Methods:
- Developed analytical and individual-based models to simulate demogenetic dynamics.
- Analyzed univariate and multivariate trait optima changes under abrupt and sustained directional shifts.
- Incorporated factors like optimum fluctuation magnitude, change type, selection strength, and vital rates.
Main Results:
- Seed banks generally increase adaptation lag but enhance population persistence (200-250 years) by absorbing demographic losses.
- Seed banks had minimal impact on genetic skew, though this may depend on the fitness component under selection.
- Multivariate models showed seed banks can reshape the genetic (G) matrix, reducing mutational correlation impacts and potentially accelerating adaptation.
Conclusions:
- Seed banks can be crucial for long-term population persistence under environmental change, despite initial adaptation delays.
- The genetic architecture modification by seed banks can facilitate adaptation, especially under antagonistic pleiotropy.
- Environmental fluctuation magnitude is key; large fluctuations can make past gene pools adaptive stepping stones.
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