ArticleNature ecology & evolution2020
Ecology shapes epistasis in a genotype-phenotype-fitness map for stick insect colour.
Article in Nature ecology & evolution, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 38 citations in OpenAlex.
- The Evolution of Locally Adaptive Chromosome Inversions in Mimulus guttatus.Molecular ecology · 2025Article
- The Ecology of Hybrid Incompatibilities.Cold Spring Harbor perspectives in biology · 2024Review
- Whole-Genome Resequencing-Based Qualitative Trait Locus Mapping CorrelatedAnimals : an open access journal from MDPI · 2024Article
- Complex evolutionary processes maintain an ancient chromosomal inversion.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Disruptive selection and the evolution of discrete color morphs inScience advances · 2023Article
- Shell color polymorphism in marine gastropods.Evolutionary applications · 2023Review
- Climatic similarity and genomic background shape the extent of parallel adaptation in Timema stick insects.Nature ecology & evolution · 2022Article
- A possible genomic footprint of polygenic adaptation on population divergence in seed beetles?Ecology and evolution · 2022Article
- Testing for fitness epistasis in a transplant experiment identifies a candidate adaptive locus inPhilosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022Article
- A method to predict the response to directional selection using a Kalman filter.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Further evidence from common garden rearing experiments of heritable traits separating lean and siscowet lake charr (Salvelinus namaycush) ecotypes.Molecular ecology · 2022Article
- Article
- Heterosis counteracts hybrid breakdown to forestall speciation by parallel natural selection.Proceedings. Biological sciences · 2022Article
- Disparate genetic variants associated with distinct components of cowpea resistance to the seed beetle Callosobruchus maculatus.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021Article
- Article
- Broad geographic sampling reveals the shared basis and environmental correlates of seasonal adaptation ineLife · 2021Article
- Increasing our ability to predict contemporary evolution.Nature communications · 2020Article
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Authors and funding
6 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Genetic interactions such as epistasis are widespread in nature and can shape evolutionary dynamics. Epistasis occurs due to nonlinearity in biological systems, which can arise via cellular processes that convert genotype to phenotype and via selective processes that connect phenotype to fitness. Few studies in nature have connected genotype to phenotype to fitness for multiple potentially interacting genetic variants. Thus, the causes of epistasis in the wild remain poorly understood. Here, we show that epistasis for fitness is an emergent and predictable property of nonlinear selective processes. We do so by measuring the genetic basis of cryptic colouration and survival in a field experiment with stick insects. We find that colouration shows a largely additive genetic basis but with some effects of epistasis that enhance differentiation between colour morphs. In terms of fitness, different combinations of loci affecting colouration confer high survival in one host-plant treatment. Specifically, nonlinear correlational selection for specific combinations of colour traits in this treatment drives the emergence of pairwise and higher-order epistasis for fitness at loci underlying colour. In turn, this results in a rugged fitness landscape for genotypes. In contrast, fitness epistasis was dampened in another treatment, where selection was weaker. Patterns of epistasis that are shaped by ecologically based selection could be common and central to understanding fitness landscapes, the dynamics of evolution and potentially other complex systems.
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