eprintid: 8845
rev_number: 14
eprint_status: archive
userid: 1305
dir: disk0/00/00/88/45
datestamp: 2015-07-09 08:57:52
lastmod: 2017-09-07 10:05:08
status_changed: 2015-07-09 08:57:52
type: article
metadata_visibility: show
creators_name: Lasky, J R
creators_name: Upadhyaya, H D
creators_name: Ramu, P
creators_name: Deshpande, S P
creators_name: Hash, C T
creators_name: Bonnette, J
creators_name: Juenger, T E
creators_name: Hyma, K
creators_name: Acharya, C
creators_name: Mitchell, S E
creators_name: Buckler, E S
creators_name: Brenton, Z
creators_name: Kresovich, S
creators_name: Morris, G P
icrisatcreators_name: Upadhyaya, H D
icrisatcreators_name: Ramu, P
icrisatcreators_name: Deshpande, S P
icrisatcreators_name: Hash, C T
affiliation: Earth Institute, and Department of Ecology, Evolution, and Environmental Biology, Columbia University (New York)
affiliation: ICRISAT (Patancheru)
affiliation: Department of Agronomy, Kansas State University (Manhattan)
affiliation: UWA Institute of Agriculture, University of Western Australia (Crawley)
affiliation: Institute for Genomic Diversity, Cornell University (Ithaca)
affiliation: ICRISAT (Niamey)
affiliation: Department of Integrative Biology, Institute for Cellular and Molecular Biology, and Brackenridge Field Laboratory, University of Texas at Austin (Austin)
affiliation: Genomic Diversity Facility, Institute of Biotechnology, Cornell University (Ithaca)
affiliation: U.S. Department of Agriculture–Agricultural Research Service (Ithaca)
country: USA
country: India
country: Australia
country: Niger
title: Genome-environment associations in sorghum landraces predict adaptive traits
ispublished: pub
subjects: s1.4
divisions: D4
crps: crp1.4
full_text_status: public
keywords: Plant breeding; Plasticity; Quantitative trait loci; Genotyping-by-sequencing; Domestication; Genomic selection; Water stress; Local adaptation; Genome scan; Climate
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.
date: 2015
date_type: published
publication: Science Advances
volume: 1
number: 6
publisher: American Association for the Advancement of Science
pagerange: 1-13
id_number: 10.1126/sciadv.1400218
refereed: TRUE
issn: 2375-2548
official_url: http://dx.doi.org/10.1126/sciadv.1400218
related_url_url: https://scholar.google.co.in/scholar?hl=en&q=Genome-environment+associations+in+sorghum+landraces+predict+adaptive+traits&btnG=
related_url_type: pub
citation:   Lasky, J R and Upadhyaya, H D and Ramu, P and Deshpande, S P and Hash, C T and Bonnette, J and Juenger, T E and Hyma, K and Acharya, C and Mitchell, S E and Buckler, E S and Brenton, Z and Kresovich, S and Morris, G P  (2015) Genome-environment associations in sorghum landraces predict adaptive traits.  Science Advances, 1 (6).  pp. 1-13.  ISSN 2375-2548     
document_url: http://oar.icrisat.org/8845/1/e1400218.full.pdf