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Published on: October 5, 2018
Limits to Adaptation in Partially Selfing Species.
Matthew Hartfield1, Sylvain Glémin2
1Laboratoire MIVEGEC (UMR Centre National de la Recherche Scientifique 5290, IRD 224, UM1, UM2), 34394 Montpellier Cedex 5, France Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, Ontario M5S 3B2, Canada Bioinformatics Research Centre, University of Aarhus, 8000C Aarhus, Denmark matthew.hartfield@utoronto.ca.
Selfing organisms can fix recessive beneficial alleles but may struggle with adaptation due to reduced recombination. Outcrossing populations better fix weak beneficial mutations, regardless of dominance, especially with linked mutations.
Area of Science:
- Evolutionary biology
- Population genetics
Background:
- Haldane's sieve predicts recessive beneficial alleles fix less often in outcrossing populations.
- Selfing organisms bypass Haldane's sieve, favoring recessive allele fixation via rapid homozygosity.
Purpose of the Study:
- Investigate how selfing and outcrossing affect fixation probabilities of beneficial alleles under linked selection.
- Determine the impact of recombination and selective sweeps on adaptation rates in varying selfing rates.
Main Methods:
- Mathematical modeling of allele fixation probabilities.
- Analysis of selective sweeps and linked mutations.
- Comparison of adaptation rates in selfing versus outcrossing populations.
Main Results:
- Loss of weaker adaptive alleles during initial sweeps significantly hinders fixation in highly selfing organisms.
- Selective interference in selfing populations can negate the advantage of not facing Haldane's sieve.
- Outcrossing populations show a greater ability to fix weak beneficial mutations across dominance types.
Conclusions:
- Reduced recombination in selfing organisms can significantly limit adaptation.
- The interplay between selfing, linked selection, and mutation dominance shapes evolutionary trajectories.
- Outcrossing may offer advantages in fixing beneficial mutations, particularly under high mutation rates.
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