Prospects of GWAS and predictive breeding for European winter wheat's grain protein content, grain starch content, and grain hardness.
Alleles
Genetic Markers
Genetic Variation
Genetics, Population
Genome-Wide Association Study
Grain Proteins
/ metabolism
Haplotypes
/ genetics
Hardness
Linkage Disequilibrium
/ genetics
Molecular Sequence Annotation
Phenotype
Physical Chromosome Mapping
Plant Breeding
Principal Component Analysis
Quantitative Trait Loci
/ genetics
Starch
/ metabolism
Triticum
/ genetics
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
27 07 2020
27 07 2020
Historique:
received:
01
05
2020
accepted:
06
07
2020
entrez:
29
7
2020
pubmed:
29
7
2020
medline:
15
12
2020
Statut:
epublish
Résumé
Grain quality traits determine the classification of registered wheat (Triticum aestivum L.) varieties. Although environmental factors and crop management practices exert a considerable influence on wheat quality traits, a significant proportion of the variance is attributed to the genetic factors. To identify the underlying genetic factors of wheat quality parameters viz., grain protein content (GPC), grain starch content (GSC), and grain hardness (GH), we evaluated 372 diverse European wheat varieties in replicated field trials in up to eight environments. We observed that all of the investigated traits hold a wide and significant genetic variation, and a significant negative correlation exists between GPC and GSC plus grain yield. Our association analyses based on 26,694 high-quality single nucleotide polymorphic markers revealed a strong quantitative genetic nature of GPC and GSC with associations on groups 2, 3, and 6 chromosomes. The identification of known Puroindoline-b gene for GH provided a positive analytic proof for our studies. We report that a locus QGpc.ipk-6A controls both GPC and GSC with opposite allelic effects. Based on wheat's reference and pan-genome sequences, the physical characterization of two loci viz., QGpc.ipk-2B and QGpc.ipk-6A facilitated the identification of the candidate genes for GPC. Furthermore, by exploiting additive and epistatic interactions of loci, we evaluated the prospects of predictive breeding for the investigated traits that suggested its efficient use in the breeding programs.
Identifiants
pubmed: 32719416
doi: 10.1038/s41598-020-69381-5
pii: 10.1038/s41598-020-69381-5
pmc: PMC7385145
doi:
Substances chimiques
Genetic Markers
0
Grain Proteins
0
Starch
9005-25-8
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
12541Références
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