ArticleEvolution letters2019
On the importance of time scales when studying adaptive evolution.
Article in Evolution letters, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed.
- Brown trout (Salmo trutta) originating from warmer streams in Iceland exhibit increased energetic efficiency.Communications biology · 2026Article
- Urban Life Shapes Genetic Diversity in the Green Anole, Anolis carolinensis.Molecular ecology · 2025Article
- Article
- Hierarchical genetic structure in an evolving species complex: Insights from genome wide ddRAD data in Sebastes mentella.PloS one · 2021Article
- Demographic history and genomics of local adaptation in blue tit populations.Evolutionary applications · 2020Article
- Response to Perrier and Charmantier: On the importance of time scales when studying adaptive evolution.Evolution letters · 2019Article
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2 authors.
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Abstract
Long-term field studies coupled with quantitative genomics offer a powerful means to understand the genetic bases underlying quantitative traits and their evolutionary changes. However, analyzing and interpreting the time scales at which adaptive evolution occurs is challenging. First, while evolution is predictable in the short term, with strikingly rapid phenotypic changes in data series, it remains unpredictable in the long term. Second, while the temporal dynamics of some loci with large effects on phenotypic variation and fitness have been characterized, this task can be complicated in cases of highly polygenic trait architecture implicating numerous small effect size loci, or when statistical tests are sensitive to the heterogeneity of some key characteristics of the genome, like variation in recombination rate along the chromosomes. After introducing these aforementioned challenges, we discuss a recent investigation of the genomic architecture and spatio-temporal variation in great tit bill length, which was related to the recent use of bird feeders. We discuss how this case study illustrates the importance of considering different temporal scales and evolutionary mechanisms both while analyzing trait temporal trends and when searching for and interpreting the signals of putative genomic footprints of selection. More generally this commentary discusses interesting challenges for unraveling the time scale at which adaptive traits evolve and their genomic bases.
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