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Published on: January 7, 2013
Selection against demographic stochasticity in age-structured populations
1Department of Biological Sciences, University of Texas, El Paso, Texas 79968, USA. mshpak@utep.edu
Genetics
|October 20, 2007
Summary
Genotypes with lower variance in offspring number can invade populations, even with lower average fitness. This study extends this to age-structured populations, showing selection favors lower demographic variance.
Area of Science:
- Population Genetics
- Evolutionary Biology
- Mathematical Biology
Background:
- Fecundity variance influences genotype invasion probability in finite populations.
- Lower variance in offspring number can be advantageous even with lower mean fitness.
- Previous work by Gillespie and Engen provides foundational concepts.
Purpose of the Study:
- Extend Gillespie's fecundity variance findings to age-structured populations.
- Utilize demographic variance as a generalized measure for allele frequency dynamics.
- Investigate the interplay of deterministic selection and random genetic drift.
Main Methods:
- Calculated demographic variance from life-history parameters (age-specific survival and fertility).
- Derived a diffusion approximation for selection and drift in age-structured populations.
- Validated the model using individual-based simulations for two genotypes.
Main Results:
- Selection against demographic variance favors genotypes with lower stochasticity in life-history rates.
- The derived diffusion approximation aligns with simulation results.
- Perturbation analyses of mean and variance in growth rate are crucial for fitness sensitivity.
Conclusions:
- Demographic variance is a key factor in genotype invasion and evolution in age-structured populations.
- Selection can favor reduced stochasticity in life-history traits.
- Understanding both mean and variance of growth rate is essential for predicting evolutionary trajectories.
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