Genome-Wide Analyses Reveal Footprints of Divergent Selection and Drought Adaptive Traits in Synthetic-Derived Wheats.
Adaptation, Biological
Alleles
Droughts
Gene Frequency
Genetic Variation
Genome, Plant
Genome-Wide Association Study
Genomics
/ methods
Haplotypes
Phenotype
Polymorphism, Single Nucleotide
Quantitative Trait Loci
Quantitative Trait, Heritable
Seeds
/ genetics
Selection, Genetic
Triticum
/ physiology
genome-wide association studies (GWAS)
haplotype analysis
selective sweeps
single nucleotide polymorphisms (SNPs)
synthetic-derived wheats (SYN-DER)
Journal
G3 (Bethesda, Md.)
ISSN: 2160-1836
Titre abrégé: G3 (Bethesda)
Pays: England
ID NLM: 101566598
Informations de publication
Date de publication:
05 06 2019
05 06 2019
Historique:
pubmed:
26
4
2019
medline:
31
12
2019
entrez:
26
4
2019
Statut:
epublish
Résumé
Crop-wild introgressions have long been exploited without knowing the favorable recombination points. Synthetic hexaploid wheats are one of the most exploited genetic resources for bread wheat improvement. However, despite some QTL with major effects, much less is known about genome-wide patterns of introgressions and their effects on phenotypes. We used two genome-wide association approaches: SNP-GWAS and haplotype-GWAS to identify SNPs and haplotypes associated with productivity under water-limited conditions in a synthetic-derived wheat (SYN-DER) population. Haplotype-GWAS further enriched and identified 20 more genomic regions associated with drought adaptability that did not overlap with SNP-GWAS. Since GWAS is biased to the phenotypes in the study and may fail to detect important genetic diversity during breeding, we used five complementary analytical approaches (
Identifiants
pubmed: 31018942
pii: g3.119.400010
doi: 10.1534/g3.119.400010
pmc: PMC6553533
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
1957-1973Informations de copyright
Copyright © 2019 Afzal et al.
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