GWAS to Identify Novel QTNs for WSCs Accumulation in Wheat Peduncle Under Different Water Regimes.

GWAS QTN bread wheat gene prioritization water soluble carbohydrates water stress

Journal

Frontiers in plant science
ISSN: 1664-462X
Titre abrégé: Front Plant Sci
Pays: Switzerland
ID NLM: 101568200

Informations de publication

Date de publication:
2022
Historique:
received: 30 11 2021
accepted: 27 01 2022
entrez: 21 3 2022
pubmed: 22 3 2022
medline: 22 3 2022
Statut: epublish

Résumé

Water-soluble carbohydrates (WSCs) play a vital role in water stress avoidance and buffering wheat grain yield. However, the genetic architecture of stem WSCs' accumulation is partially understood, and few candidate genes are known. This study utilizes the compressed mixed linear model-based genome wide association study (GWAS) and heuristic post GWAS analyses to identify causative quantitative trait nucleotides (QTNs) and candidate genes for stem WSCs' content at 15 days after anthesis under different water regimes (irrigated, rainfed, and drought). Glucose, fructose, sucrose, fructans, total non-structural carbohydrates (the sum of individual sugars), total WSCs (anthrone based) quantified in the peduncle of 301 bread wheat genotypes under multiple environments (E01-E08) pertaining different water regimes, and 14,571 SNPs from "35K Axiom Wheat Breeders" Array were used for analysis. As a result, 570 significant nucleotide trait associations were identified on all chromosomes except for 4D, of which 163 were considered stable. A total of 112 quantitative trait nucleotide regions (QNRs) were identified of which 47 were presumable novel. QNRs

Identifiants

pubmed: 35310635
doi: 10.3389/fpls.2022.825687
pmc: PMC8928439
doi:

Types de publication

Journal Article

Langues

eng

Pagination

825687

Informations de copyright

Copyright © 2022 Gaur, Jindal, Singh, Tiwari, Kumar, Kaushik, Singh, Narwal, Jaiswal, Iquebal, Angadi, Singh, Rai, Singh and Sheoran.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Arpit Gaur (A)

Department of Genetics and Plant Breeding, CCS Haryana Agricultural University, Hisar, India.
ICAR-Indian Institute of Wheat and Barley Research, Karnal, India.

Yogesh Jindal (Y)

Department of Genetics and Plant Breeding, CCS Haryana Agricultural University, Hisar, India.

Vikram Singh (V)

Department of Genetics and Plant Breeding, CCS Haryana Agricultural University, Hisar, India.

Ratan Tiwari (R)

ICAR-Indian Institute of Wheat and Barley Research, Karnal, India.

Dinesh Kumar (D)

ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India.

Deepak Kaushik (D)

Department of Genetics and Plant Breeding, CCS Haryana Agricultural University, Hisar, India.

Jogendra Singh (J)

ICAR-Central Soil Salinity Research Institute, Karnal, India.

Sneh Narwal (S)

ICAR-Indian Agricultural Research Institute, New Delhi, India.

Sarika Jaiswal (S)

ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India.

Mir Asif Iquebal (MA)

ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India.

Ulavapp B Angadi (UB)

ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India.

Gyanendra Singh (G)

ICAR-Indian Institute of Wheat and Barley Research, Karnal, India.

Anil Rai (A)

ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India.

Gyanendra Pratap Singh (GP)

ICAR-Indian Institute of Wheat and Barley Research, Karnal, India.

Sonia Sheoran (S)

ICAR-Indian Institute of Wheat and Barley Research, Karnal, India.

Classifications MeSH