Normal view MARC view ISBD view

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

By: Cavanagh, C.R.
Contributor(s): Akhunov, E [coaut.] | Akhunova, A [coaut.] | Anderson, J.A | Baenziger, S [coaut.] | Bai, G [coaut.] | Bockelman, H [coaut.] | Brown-Guedira, G.L [coaut.] | Carter, A [coaut.] | Dubcovsky, J [coaut.] | Forrest, K [coaut.] | Hayden, M.J [coaut.] | Huang, B.E [coaut.] | Kiani, S [coaut.] | Kong, S [coaut.] | Korzun, V [coaut.] | Lopez da Silva, M [coaut.] | Morell, M.K [coaut.] | Morrell, P.L [coaut.] | Pumphrey, M | Saintenac, C [coaut.] | See, D [coaut.] | Shiaoman Chao [coaut.] | Shichen Wang [coaut.] | Sorrells, M.E | Stephen, S [coaut.] | Talbert, L [coaut.] | Tomar, L [coaut.] | Wong, D [coaut.] | Reynolds, M.P [coaut.] | Dreisigacker, S.
Material type: materialTypeLabelArticlePublisher: 2013ISSN: 1091-6490 (Revista en electrónico); 0027-8424.Subject(s): breeding history | polyploid wheat | selection scans | SNP genotyping | Wheat improvement | Nucleotide sequence | Polyploidy | Wheat | Crop improvement | BreedingOnline resources: Click here to access online In: Proceedings of the Natural Academy of Sciences (PNAS) v. 110, no. 20, p. 8057-8062Summary: 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.Collection: CIMMYT Staff Publications Collection
Tags from this library: No tags from this library for this title. Log in to add tags.
    average rating: 0.0 (0 votes)
Item type Current location Collection Call number Status Date due Barcode Item holds
Article CIMMYT Knowledge Center: John Woolston Library

Lic. Jose Juan Caballero Flores

 

CIMMYT Staff Publications Collection CIS-7201 (Browse shelf) Available
Total holds: 0

Peer-review: Yes - Open Access: Yes|http://science.thomsonreuters.com/cgi-bin/jrnlst/jlresults.cgi?PC=MASTER&ISSN=0027-8424

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.

Global Wheat Program

English

CIMMYT Informa No. 1851

INT1511|INT2835|INT2692

CIMMYT Staff Publications Collection

There are no comments for this item.

Log in to your account to post a comment.
baner

International Maize and Wheat Improvement Center (CIMMYT) © Copyright 2015. Carretera México-Veracruz. Km. 45, El Batán, Texcoco, México, C.P. 56237.
If you have any question, please contact us at CIMMYT-Knowledge-Center@cgiar.org

Centro Internacional de Mejoramiento de Maíz y Trigo (CIMMYT) © Copyright 2015. Carretera México-Veracruz. Km. 45, El Batán, Texcoco, México, C.P. 56237.
Si tiene cualquier pregunta, contáctenos a CIMMYT-Knowledge-Center@cgiar.org