ArticleProceedings of the National Academy of Sciences of the United States of America2023
The paradox of adaptive trait clines with nonclinal patterns in the underlying genes.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 1 of them a synthesis that pooled it.
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Who cites it
43 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A cosmopolitan inversion facilitates seasonal adaptation in overwintering Drosophila.Genetics · 2024Pooled it
- The MexMAGIC population reveals the genetic architecture of traits exhibiting clinal variation in Mexican native maize.The New phytologist · 2026Article
- Identifying adaptive variation in spatially structured populations using low-coverage whole-genome sequencing data.Molecular biology and evolution · 2026Article
- Dissecting the genetic basis of climatic adaptation in wild relatives (Malus baccata) for climate-resilient apple breeding.Journal of integrative plant biology · 2026Article
- What has population genomics told us about the dynamics of selection and plant adaptation?Molecular biology and evolution · 2026Review
- Evolution of species' range and niche in changing environments.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Dams and Introduced Species Drive Patterns of Environmental Adaptation in an Iconic but Imperiled Coldwater Fish (Brook Trout,Evolutionary applications · 2026Article
- Identification of Genetic Variation Associated With Heat Tolerance in Cowpea (Vigna unguiculata L. Walp.).Molecular ecology · 2026Article
- Rapid adaptation and extinction in synchronized outdoor evolution experiments ofScience (New York, N.Y.) · 2026Article
- Coral Genetic Structure in the Western Indian Ocean Mirrors Ocean Circulation and Thermal Stress History.Evolutionary applications · 2026Article
- Experimental Validation of Genome-Environment Associations in Arabidopsis.Molecular ecology · 2025Article
- Applying Genomic Offsets to Breeding Programmes: Bridging Evolutionary Insights With Practical Applications.Evolutionary applications · 2025Article
- Genomic Basis and Climate Change Vulnerability of Migration Timing in Atlantic Salmon (Evolutionary applications · 2025Article
- Local Adaptation Drives Leaf Thermoregulation in Tropical Rainforest Trees.Global change biology · 2025Article
- Range-wide climate risk and adaptive potential in a cold-water fish species.Nature communications · 2025Article
- Effects of using deep learning to predict the geographic origin of barley genebank accessions on genome-environment association studies.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Suturing fragmented landscapes: Mosaic hybrid zones in plants may facilitate ecosystem resiliency.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Article
- Integrating population genomics and environmental data to predict adaptation to climate change in post-bottleneck Tibetan macaques.Science advances · 2025Article
- Individual-based landscape genomics for conservation: An analysis pipeline.Molecular ecology resources · 2025Article
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Abstract
Multivariate climate change presents an urgent need to understand how species adapt to complex environments. Population genetic theory predicts that loci under selection will form monotonic allele frequency clines with their selective environment, which has led to the wide use of genotype-environment associations (GEAs). This study used a set of simulations to elucidate the conditions under which allele frequency clines are more or less likely to evolve as multiple quantitative traits adapt to multivariate environments. Phenotypic clines evolved with nonmonotonic (i.e., nonclinal) patterns in allele frequencies under conditions that promoted unique combinations of mutations to achieve the multivariate optimum in different parts of the landscape. Such conditions resulted from interactions among landscape, demography, pleiotropy, and genetic architecture. GEA methods failed to accurately infer the genetic basis of adaptation under a range of scenarios due to first principles (clinal patterns did not evolve) or statistical issues (clinal patterns evolved but were not detected due to overcorrection for structure). Despite the limitations of GEAs, this study shows that a back-transformation of multivariate ordination can accurately predict individual multivariate traits from genotype and environmental data regardless of whether inference from GEAs was accurate. In addition, frameworks are introduced that can be used by empiricists to quantify the importance of clinal alleles in adaptation. This research highlights that multivariate trait prediction from genotype and environmental data can lead to accurate inference regardless of whether the underlying loci display clinal or nonmonotonic patterns.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.