ArticleThe Plant cell2023
Genotype-environment associations to reveal the molecular basis of environmental adaptation.
Article in The Plant cell, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
62 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Climate Extremes, Genomic Coverage, and Taxonomy Shape the Detection of Adaptation: A Systematic Review of GEA Studies for the Kingdom Animalia.Molecular ecology · 2026Pooled it
- The MexMAGIC population reveals the genetic architecture of traits exhibiting clinal variation in Mexican native maize.The New phytologist · 2026Article
- Problems With GO Enrichment as an Endpoint for Ecological Omics Interpretation.Molecular ecology · 2026Article
- Predictive models of the genetic bases underlying budding yeast fitness in multiple environments.NAR genomics and bioinformatics · 2026Article
- Putatively Adaptive and Genome-Wide Genetic Variation Often Rank Populations as Similarly Distinctive.Molecular ecology · 2026Article
- Using herbarium collections to study genetic responses to global change.The New phytologist · 2026Review
- Incorporating Population Genomic Perspectives Into Kelp Conservation and Aquaculture in the Pacific Northwest.Evolutionary applications · 2026Article
- Functional genomic map of local adaptation in sorghum to guide allele mining.bioRxiv : the preprint server for biology · 2026Article
- Leveraging Genetic Diversity for Abiotic Stress Tolerance.International journal of molecular sciences · 2026Article
- Bringing environment back into human evolution: why human genetics needs genome-environment association studies.Human genetics · 2026Review
- Historical and contemporary genomes of an endangered rodent reveal shifts in environmentally associated genes.Science advances · 2026Article
- CartograPlant: bridging genomic, phenotypic, and environmental data to advance plant resilience and eco-evolutionary insight.Genetics · 2026Article
- Identification of Genetic Variation Associated With Heat Tolerance in Cowpea (Vigna unguiculata L. Walp.).Molecular ecology · 2026Article
- Genomic Diversity of Avocado in the Morogoro Region and Southern Highlands of Tanzania.International journal of molecular sciences · 2026Article
- Coral Genetic Structure in the Western Indian Ocean Mirrors Ocean Circulation and Thermal Stress History.Evolutionary applications · 2026Article
- From individuals to communities: How genomics is transforming biodiversity conservation.Genetics and molecular biology · 2026Article
- Harnessing the untapped genetic diversity of local landraces: omics technologies as a gateway to horticultural breeding.Frontiers in plant science · 2026Review
- Conservation Genomics ofEvolutionary applications · 2026Article
- Genomics-Driven Monitoring of Fraxinus latifolia (Oregon Ash) to Inform Conservation and EAB-Resistance Breeding.Molecular ecology · 2025Article
- Experimental Validation of Genome-Environment Associations in Arabidopsis.Molecular ecology · 2025Article
2 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
A fundamental goal in plant biology is to identify and understand the variation underlying plants' adaptation to their environment. Climate change has given new urgency to this goal, as society aims to accelerate adaptation of ecologically important plant species, endangered plant species, and crops to hotter, less predictable climates. In the pre-genomic era, identifying adaptive alleles was painstaking work, leveraging genetics, molecular biology, physiology, and ecology. Now, the rise of genomics and new computational approaches may facilitate this research. Genotype-environment associations (GEAs) use statistical associations between allele frequency and environment of origin to test the hypothesis that allelic variation at a given gene is adapted to local environments. Researchers may scan the genome for GEAs to generate hypotheses on adaptive genetic variants (environmental genome-wide association studies). Despite the rapid adoption of these methods, many important questions remain about the interpretation of GEA findings, which arise from fundamental unanswered questions on the genetic architecture of adaptation and limitations inherent to association-based analyses. We outline strategies to ground GEAs in the underlying hypotheses of genetic architecture and better test GEA-generated hypotheses using genetics and ecophysiology. We provide recommendations for new users who seek to learn about the molecular basis of adaptation. When combined with a rigorous hypothesis testing framework, GEAs may facilitate our understanding of the molecular basis of climate adaptation for plant improvement.
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Registered trials
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