ArticleScience advances2015
Genome-environment associations in sorghum landraces predict adaptive traits.
Article in Science advances, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 153 papers, 1 of them a synthesis that pooled it.
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Who cites it
153 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Meta-analysis identifies pleiotropic loci controlling phenotypic trade-offs in sorghum.Genetics · 2021Pooled it
- The MexMAGIC population reveals the genetic architecture of traits exhibiting clinal variation in Mexican native maize.The New phytologist · 2026Article
- Dissecting the genetic basis of climatic adaptation in wild relatives (Malus baccata) for climate-resilient apple breeding.Journal of integrative plant biology · 2026Article
- Harnessing artificial intelligence in plant breeding: innovations in digital phenotyping and breeding methodologies.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Review
- Functional genomic map of local adaptation in sorghum to guide allele mining.bioRxiv : the preprint server for biology · 2026Article
- A naturally synonymous mutation modulates an ERK-centered regulatory network to mediate thermotolerance divergence in Crassostrea oysters.Communications biology · 2026Article
- SorghumBase: a knowledgebase for sorghum genomics, phenomics, and stakeholder engagement.Genetics · 2026Article
- Population Genomic Structure of Sorghum Landraces Across Landscape, Environment and Culture.Molecular ecology · 2026Article
- A machine learning approach to genome-wide association mapping of disease resistance and geographic origin in sorghum.BMC plant biology · 2026Article
- Gramene 2025: expanded comparative genomics and pathway resources, integrated search, and pan-genome portals for crop research.Nucleic acids research · 2026Article
- Genetic enhancement of root, tuber and cereal crops via pangenomics, multi-omics integration and AI-driven prediction.Frontiers in plant science · 2026Review
- Population genomic structure of sorghum landraces across landscape, environment and culture.bioRxiv : the preprint server for biology · 2025Article
- RDAforest: Identifying Environmental Drivers of Polygenic Adaptation.Molecular ecology resources · 2025Article
- Ephemeral Speciation in a New Guinean Honeyeater Complex (Aves: Melidectes).Molecular ecology · 2025Article
- Genome-wide identification of QTNs and candidate genes in Ethiopian sorghum (Sorghum bicolor (L.) moench) landraces using SNP-based approaches.BMC genomic data · 2025Article
- MINE: maximally informative next experiment-toward a new GWAS experimental design and methodology.G3 (Bethesda, Md.) · 2025Article
- Using landscape genomics to infer genomic regions involved in environmental adaptation of soybean genebank accessions.BMC plant biology · 2025Article
- Climate change and plant genomic plasticity.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Review
- 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
- In silico prediction of variant effects: promises and limitations for precision plant breeding.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Review
93 more citing papers are in PubMed but not listed here.
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Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Improving environmental adaptation in crops is essential for food security under global change, but phenotyping adaptive traits remains a major bottleneck. If associations between single-nucleotide polymorphism (SNP) alleles and environment of origin in crop landraces reflect adaptation, then these could be used to predict phenotypic variation for adaptive traits. We tested this proposition in the global food crop Sorghum bicolor, characterizing 1943 georeferenced landraces at 404,627 SNPs and quantifying allelic associations with bioclimatic and soil gradients. Environment explained a substantial portion of SNP variation, independent of geographical distance, and genic SNPs were enriched for environmental associations. Further, environment-associated SNPs predicted genotype-by-environment interactions under experimental drought stress and aluminum toxicity. Our results suggest that genomic signatures of environmental adaptation may be useful for crop improvement, enhancing germplasm identification and marker-assisted selection. Together, genome-environment associations and phenotypic analyses may reveal the basis of environmental adaptation.
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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.