» Articles » PMID: 39143223

Continuously Fluctuating Selection Reveals Fine Granularity of Adaptation

Overview
Journal Nature
Specialty Science
Date 2024 Aug 14
PMID 39143223
Authors
Affiliations
Soon will be listed here.
Abstract

Temporally fluctuating environmental conditions are a ubiquitous feature of natural habitats. Yet, how finely natural populations adaptively track fluctuating selection pressures via shifts in standing genetic variation is unknown. Here we generated genome-wide allele frequency data every 1-2 generations from a genetically diverse population of Drosophila melanogaster in extensively replicated field mesocosms from late June to mid-December (a period of approximately 12 total generations). Adaptation throughout the fundamental ecological phases of population expansion, peak density and collapse was underpinned by extremely rapid, parallel changes in genomic variation across replicates. Yet, the dominant direction of selection fluctuated repeatedly, even within each of these ecological phases. Comparing patterns of change in allele frequency to an independent dataset procured from the same experimental system demonstrated that the targets of selection are predictable across years. In concert, our results reveal a fitness relevance of standing variation that is likely to be masked by inference approaches based on static population sampling or insufficiently resolved time-series data. We propose that such fine-scaled, temporally fluctuating selection may be an important force contributing to the maintenance of functional genetic variation in natural populations and an important stochastic force impacting genome-wide patterns of diversity at linked neutral sites, akin to genetic draft.

Citing Articles

Pervasive fitness trade-offs revealed by rapid adaptation in large experimental populations of .

Bitter M, Greenblum S, Rajpurohit S, Bergland A, Hemker J, Betancourt N bioRxiv. 2024; .

PMID: 39554054 PMC: 11565731. DOI: 10.1101/2024.10.28.620721.

References
1.
Bitter M, Wong J, Dam H, Donelan S, Kenkel C, Komoroske L . Fluctuating selection and global change: a synthesis and review on disentangling the roles of climate amplitude, predictability and novelty. Proc Biol Sci. 2021; 288(1957):20210727. PMC: 8385344. DOI: 10.1098/rspb.2021.0727. View

2.
Botero C, Weissing F, Wright J, Rubenstein D . Evolutionary tipping points in the capacity to adapt to environmental change. Proc Natl Acad Sci U S A. 2014; 112(1):184-9. PMC: 4291647. DOI: 10.1073/pnas.1408589111. View

3.
Chevin L, Lande R, Mace G . Adaptation, plasticity, and extinction in a changing environment: towards a predictive theory. PLoS Biol. 2010; 8(4):e1000357. PMC: 2864732. DOI: 10.1371/journal.pbio.1000357. View

4.
Buffalo V, Coop G . Estimating the genome-wide contribution of selection to temporal allele frequency change. Proc Natl Acad Sci U S A. 2020; 117(34):20672-20680. PMC: 7456072. DOI: 10.1073/pnas.1919039117. View

5.
Clark A, Edison R, Esvelt K, Kamau S, Dutoit L, Champer J . A framework for identifying fertility gene targets for mammalian pest control. Mol Ecol Resour. 2023; 24(2):e13901. PMC: 10860713. DOI: 10.1111/1755-0998.13901. View