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

Arpit Gaur; Yogesh Jindal; Vikram Singh; Ratan Tiwari; Dinesh Kumar; Deepak Kaushik; Jogendra Singh; Sneh Narwal; Sarika Jaiswal; Mir Asif Iquebal; Ulavapp B Angadi; Gyanendra Singh; Anil Rai; Gyanendra Pratap Singh; Sonia Sheoran

doi:10.3389/fpls.2022.825687

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

Front Plant Sci. 2022 Mar 3:13:825687. doi: 10.3389/fpls.2022.825687. eCollection 2022.

Authors

Affiliations

¹ Department of Genetics and Plant Breeding, CCS Haryana Agricultural University, Hisar, India.
² ICAR-Indian Institute of Wheat and Barley Research, Karnal, India.
³ ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India.
⁴ ICAR-Central Soil Salinity Research Institute, Karnal, India.
⁵ ICAR-Indian Agricultural Research Institute, New Delhi, India.

Abstract

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 qWSC-3B.2 and qWSC-7A.2 were identified as the hotspots. Post GWAS integration of multiple data resources prioritized 208 putative candidate genes delimited into 64 QNRs, which can be critical in understanding the genetic architecture of stem WSCs accumulation in wheat under optimum and water-stressed environments. At least 19 stable QTNs were found associated with 24 prioritized candidate genes. Clusters of fructans metabolic genes reported in the QNRs qWSC-4A.2 and qWSC-7A.2. These genes can be utilized to bring an optimum combination of various fructans metabolic genes to improve the accumulation and remobilization of stem WSCs and water stress tolerance. These results will further strengthen wheat breeding programs targeting sustainable wheat production under limited water conditions.

Keywords: GWAS; QTN; bread wheat; gene prioritization; water soluble carbohydrates; water stress.