Rapid adaptation of recombining populations on tunable fitness landscapes.

Li, Juan; Amado, André; Bank, Claudia (2024). Rapid adaptation of recombining populations on tunable fitness landscapes. Molecular ecology, 33(10), e16900. Wiley 10.1111/mec.16900

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How does standing genetic variation affect polygenic adaptation in recombining populations? Despite a large body of work in quantitative genetics, epistatic and weak additive fitness effects among simultaneously segregating genetic variants are difficult to capture experimentally or to predict theoretically. In this study, we simulated adaptation on fitness landscapes with tunable ruggedness driven by standing genetic variation in recombining populations. We confirmed that recombination hinders the movement of a population through a rugged fitness landscape. When surveying the effect of epistasis on the fixation of alleles, we found that the combined effects of high ruggedness and high recombination probabilities lead to preferential fixation of alleles that had a high initial frequency. This indicates that positively epistatic alleles escape from being broken down by recombination when they start at high frequency. We further extract direct selection coefficients and pairwise epistasis along the adaptive path. When taking the final fixed genotype as the reference genetic background, we observe that, along the adaptive path, beneficial direct selection appears stronger and pairwise epistasis weaker than in the underlying fitness landscape. Quantitatively, the ratio of epistasis and direct selection is smaller along the adaptive path (≈1) than expected. Thus, adaptation on a rugged fitness landscape may lead to spurious signals of direct selection generated through epistasis. Our study highlights how the interplay of epistasis and recombination constrains the adaptation of a diverse population to a new environment.

Item Type:

Journal Article (Original Article)

Division/Institute:

08 Faculty of Science > Department of Biology > Institute of Ecology and Evolution (IEE) > Population Genetics
08 Faculty of Science > Department of Biology > Institute of Ecology and Evolution (IEE)
08 Faculty of Science > Department of Biology > Institute of Ecology and Evolution (IEE) > Theoretical Ecology and Evolution

UniBE Contributor:

Li, Juan, da Conceição Amado, André, Bank, Claudia

Subjects:

500 Science > 570 Life sciences; biology

ISSN:

1365-294X

Publisher:

Wiley

Language:

English

Submitter:

Pubmed Import

Date Deposited:

06 Mar 2023 07:56

Last Modified:

08 May 2024 00:11

Publisher DOI:

10.1111/mec.16900

PubMed ID:

36855836

BORIS DOI:

10.48350/179396

URI:

https://boris.unibe.ch/id/eprint/179396

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