ArticleGenetics2024
Estimating scale-specific and localized spatial patterns in allele frequency.
Article in Genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Genomic history and ecology of local adaptation in sky-islandbioRxiv : the preprint server for biology · 2026Article
- Functional genomic map of local adaptation in sorghum to guide allele mining.bioRxiv : the preprint server for biology · 2026Article
- Article
- Does genetic variation in controlled experiments predict phenology of wild plants?Journal of evolutionary biology · 2026Article
- Population Genomic Structure of Sorghum Landraces Across Landscape, Environment and Culture.Molecular ecology · 2026Article
- Population genomic structure of sorghum landraces across landscape, environment and culture.bioRxiv : the preprint server for biology · 2025Article
- Museum Genomics Reveals Temporal Genetic Stasis and Global Genetic Diversity in Arabidopsis thaliana.Molecular ecology · 2025Article
- Does genetic variation in controlled experiments predict phenology of wild plants?bioRxiv : the preprint server for biology · 2025Article
- Environmental data provide marginal benefit for predicting climate adaptation.PLoS genetics · 2025Article
- It's all in the timing: vegetative phase change alters selection under drought and contributes to local adaptation.bioRxiv : the preprint server for biology · 2025Article
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Authors and funding
4 authors.
Funding
Abstract
Characterizing spatial patterns in allele frequencies is fundamental to evolutionary biology because these patterns contain evidence of underlying processes. However, the spatial scales at which gene flow, changing selection, and drift act are often unknown. Many of these processes can operate inconsistently across space, causing nonstationary patterns. We present a wavelet approach to characterize spatial pattern in allele frequency that helps solve these problems. We show how our approach can characterize spatial patterns in relatedness at multiple spatial scales, i.e. a multilocus wavelet genetic dissimilarity. We also develop wavelet tests of spatial differentiation in allele frequency and quantitative trait loci (QTL). With simulation, we illustrate these methods under different scenarios. We also apply our approach to natural populations of Arabidopsis thaliana to characterize population structure and identify locally adapted loci across scales. We find, for example, that Arabidopsis flowering time QTL show significantly elevated genetic differentiation at 300-1,300 km scales. Wavelet transforms of allele frequencies offer a flexible way to reveal geographic patterns and underlying evolutionary processes.
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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 OpenQuestion graph.