Genome-wide comparative diversity uncovers multiple targets of selection for improvement in hexaploid wheat landraces and cultivars

Colin Cavanagh(Plant Industry), Shiaoman Chao(Agricultural Research Service), Shichen Wang(Kansas State University), Bevan E. Huang(Health Sciences and Nutrition), Stuart Stephen(Plant Industry), S. Poormohammad Kiani(Kansas State University), Kerrie Forrest(Agriculture Victoria), Cyrille Saintenac(Kansas State University), Gina Brown‐Guedira(Agricultural Research Service), Alina Akhunova(Kansas State University), Deven R. See(Western Regional Research Center), Guihua Bai(Agricultural Research Service), Michael Pumphrey(Washington State University), Luxmi Tomar(Chaudhary Charan Singh Haryana Agricultural University), Debbie Wong(Agriculture Victoria), Stephan Kong(Agriculture Victoria), Matthew Reynolds(Centro Internacional de Mejoramiento de Maíz Y Trigo), Marta Lopez da Silva(Centro Internacional de Mejoramiento de Maíz Y Trigo), Harold E. Bockelman(Agricultural Research Service), L. E. Talbert(Montana State University), James A. Anderson(University of Minnesota), Susanne Dreisigacker(Centro Internacional de Mejoramiento de Maíz Y Trigo), Stephen P Baenziger(University of Nebraska–Lincoln), Arron H. Carter(Washington State University), Viktor Korzun(KWS Saat (Germany)), Peter L. Morrell(University of Minnesota), Jorge Dubcovsky(Howard Hughes Medical Institute), Matthew K. Morell(Plant Industry), Mark E. Sorrells(Cornell University), Matthew Hayden(Agriculture Victoria), Eduard Akhunov(Kansas State University)
Proceedings of the National Academy of Sciences
April 29, 2013
Cited by 1,057

Abstract

Domesticated crops experience strong human-mediated selection aimed at developing high-yielding varieties adapted to local conditions. To detect regions of the wheat genome subject to selection during improvement, we developed a high-throughput array to interrogate 9,000 gene-associated single-nucleotide polymorphisms (SNP) in a worldwide sample of 2,994 accessions of hexaploid wheat including landraces and modern cultivars. Using a SNP-based diversity map we characterized the impact of crop improvement on genomic and geographic patterns of genetic diversity. We found evidence of a small population bottleneck and extensive use of ancestral variation often traceable to founders of cultivars from diverse geographic regions. Analyzing genetic differentiation among populations and the extent of haplotype sharing, we identified allelic variants subjected to selection during improvement. Selective sweeps were found around genes involved in the regulation of flowering time and phenology. An introgression of a wild relative-derived gene conferring resistance to a fungal pathogen was detected by haplotype-based analysis. Comparing selective sweeps identified in different populations, we show that selection likely acts on distinct targets or multiple functionally equivalent alleles in different portions of the geographic range of wheat. The majority of the selected alleles were present at low frequency in local populations, suggesting either weak selection pressure or temporal variation in the targets of directional selection during breeding probably associated with changing agricultural practices or environmental conditions. The developed SNP chip and map of genetic variation provide a resource for advancing wheat breeding and supporting future population genomic and genome-wide association studies in wheat.


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