Population- and genome-specific patterns of linkage disequilibrium and SNP variation in spring and winter wheat (Triticum aestivum L.)
Shiaoman Chao,Jorge Dubcovsky,Jan Dvorak,Ming-Cheng Luo,Stephen Baenziger,Rustam Matnyazov,Dale R. Clark,Luther E. Talbert,James A. Anderson,Susanne Dreisigacker,Karl D. Glover,Jianli Chen,Kim Garland Campbell,Phil L. Bruckner,Jackie C. Rudd,Scott D. Haley,Brett F. Carver,Sid Perry,Mark E. Sorrells,Eduard Akhunov +19 more
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TLDR
This study demonstrated that the estimates of population structure between spring and winter wheat lines can identify genomic regions harboring candidate genes involved in the regulation of growth habit, and suggests that breeding and selection had a different impact on each wheat genome both within and among populations.Abstract:
Background: Single nucleotide polymorphisms (SNPs) are ideally suited for the construction of high-resolution genetic maps, studying population evolutionary history and performing genome-wide association mapping experiments. Here, we used a genome-wide set of 1536 SNPs to study linkage disequilibrium (LD) and population structure in a panel of 478 spring and winter wheat cultivars (Triticum aestivum) from 17 populations across the United States and Mexico. Results: Most of the wheat oligo pool assay (OPA) SNPs that were polymorphic within the complete set of 478 cultivars were also polymorphic in all subpopulations. Higher levels of genetic differentiation were observed among wheat lines within populations than among populations. A total of nine genetically distinct clusters were identified, suggesting that some of the pre-defined populations shared significant proportion of genetic ancestry. Estimates of population structure (FST) at individual loci showed a high level of heterogeneity across the genome. In addition, seven genomic regions with elevated FST were detected between the spring and winter wheat populations. Some of these regions overlapped with previously mapped flowering time QTL. Across all populations, the highest extent of significant LD was observed in the wheat D-genome, followed by lower LD in the A- and B-genomes. The differences in the extent of LD among populations and genomes were mostly driven by differences in long-range LD ( > 10 cM). Conclusions: Genome- and population-specific patterns of genetic differentiation and LD were discovered in the populations of wheat cultivars from different geographic regions. Our study demonstrated that the estimates of population structure between spring and winter wheat lines can identify genomic regions harboring candidate genes involved in the regulation of growth habit. Variation in LD suggests that breeding and selection had a different impact on each wheat genome both within and among populations. The higher extent of LD in the wheat D-genome versus the A- and B-genomes likely reflects the episodes of recent introgression and population bottleneck accompanying the origin of hexaploid wheat. The assessment of LD and population structure in this assembled panel of diverse lines provides critical information for the development of genetic resources for genome-wide association mapping of agronomically important traits in wheat.read more
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Characterization of polyploid wheat genomic diversity using a high-density 90 000 single nucleotide polymorphism array
Shichen Wang,Debbie Wong,Kerrie Forrest,Alexandra M. Allen,Shiaoman Chao,Bevan Emma Huang,Marco Maccaferri,Silvio Salvi,Sara Giulia Milner,Luigi Cattivelli,Anna M. Mastrangelo,Alex Whan,Stuart Stephen,Gary L A Barker,Ralf Wieseke,Joerg Plieske,Morten Lillemo,Diane E. Mather,Rudi Appels,Rudy Dolferus,Gina Brown-Guedira,Abraham B. Korol,Alina Akhunova,Catherine Feuillet,Catherine Feuillet,Jérôme Salse,Michele Morgante,Curtis J. Pozniak,Ming-Cheng Luo,Jan Dvorak,Matthew K. Morell,Jorge Dubcovsky,Jorge Dubcovsky,Martin W. Ganal,Roberto Tuberosa,Cindy Lawley,Ivan Mikoulitch,Colin Cavanagh,Keith J. Edwards,Matthew J. Hayden,Eduard Akhunov +40 more
TL;DR: The developed array and cluster identification algorithms provide an opportunity to infer detailed haplotype structure in polyploid wheat and will serve as an invaluable resource for diversity studies and investigating the genetic basis of trait variation in wheat.
Journal ArticleDOI
Genome-wide comparative diversity uncovers multiple targets of selection for improvement in hexaploid wheat landraces and cultivars.
Colin Cavanagh,Shiaoman Chao,Shichen Wang,Bevan Emma Huang,Stuart Stephen,Seifollah Kiani,Kerrie Forrest,Cyrille Saintenac,Gina Brown-Guedira,Alina Akhunova,Deven R. See,Guihua Bai,Michael O. Pumphrey,Luxmi Tomar,Debbie Wong,Stephan Kong,Matthew P. Reynolds,Marta Lopez da Silva,Harold E. Bockelman,Luther E. Talbert,James A. Anderson,Susanne Dreisigacker,Stephen Baenziger,Arron H. Carter,Viktor Korzun,Peter L. Morrell,Jorge Dubcovsky,Jorge Dubcovsky,Matthew K. Morell,Mark E. Sorrells,Matthew J. Hayden,Eduard Akhunov +31 more
TL;DR: It is shown that selection likely acts on distinct targets or multiple functionally equivalent alleles in different portions of the geographic range of wheat, 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.
Journal ArticleDOI
Genome-wide association study for grain yield and related traits in an elite spring wheat population grown in temperate irrigated environments
TL;DR: Through genome-wide association study, loci for grain yield and yield components were identified in chromosomes 5A and 6A in spring wheat (Triticum aestivum) and it was indicated that lines with 1B/1R translocation had higher YLD, grain weight, and taller plants than lines without the translocation.
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Domestication evolution, genetics and genomics in wheat
TL;DR: Research on wheat domestication is summarized and discussed, mainly focusing on recent findings in genetics and genomics studies, of greatly help in conservation and exploitation of wheat germplasm and genetic improvement of wheat cultivars.
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Abiotic stress and control of grain number in cereals.
TL;DR: A better understanding of the physiological and molecular processes that lead to stress-induced pollen abortion may provide the key to finding solutions for maintaining grain number under abiotic stress conditions.
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