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

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...

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Autores principales: Gaur, Arpit, Jindal, Yogesh, Singh, Vikram, Tiwari, Ratan, Kumar, Dinesh, Kaushik, Deepak, Singh, Jogendra, Narwal, Sneh, Jaiswal, Sarika, Iquebal, Mir Asif, Angadi, Ulavapp B., Singh, Gyanendra, Rai, Anil, Singh, Gyanendra Pratap, Sheoran, Sonia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8928439/
https://www.ncbi.nlm.nih.gov/pubmed/35310635
http://dx.doi.org/10.3389/fpls.2022.825687
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author Gaur, Arpit
Jindal, Yogesh
Singh, Vikram
Tiwari, Ratan
Kumar, Dinesh
Kaushik, Deepak
Singh, Jogendra
Narwal, Sneh
Jaiswal, Sarika
Iquebal, Mir Asif
Angadi, Ulavapp B.
Singh, Gyanendra
Rai, Anil
Singh, Gyanendra Pratap
Sheoran, Sonia
author_facet Gaur, Arpit
Jindal, Yogesh
Singh, Vikram
Tiwari, Ratan
Kumar, Dinesh
Kaushik, Deepak
Singh, Jogendra
Narwal, Sneh
Jaiswal, Sarika
Iquebal, Mir Asif
Angadi, Ulavapp B.
Singh, Gyanendra
Rai, Anil
Singh, Gyanendra Pratap
Sheoran, Sonia
author_sort Gaur, Arpit
collection PubMed
description 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.
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spelling pubmed-89284392022-03-18 GWAS to Identify Novel QTNs for WSCs Accumulation in Wheat Peduncle Under Different Water Regimes Gaur, Arpit Jindal, Yogesh Singh, Vikram Tiwari, Ratan Kumar, Dinesh Kaushik, Deepak Singh, Jogendra Narwal, Sneh Jaiswal, Sarika Iquebal, Mir Asif Angadi, Ulavapp B. Singh, Gyanendra Rai, Anil Singh, Gyanendra Pratap Sheoran, Sonia Front Plant Sci Plant Science 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. Frontiers Media S.A. 2022-03-03 /pmc/articles/PMC8928439/ /pubmed/35310635 http://dx.doi.org/10.3389/fpls.2022.825687 Text en Copyright © 2022 Gaur, Jindal, Singh, Tiwari, Kumar, Kaushik, Singh, Narwal, Jaiswal, Iquebal, Angadi, Singh, Rai, Singh and Sheoran. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Gaur, Arpit
Jindal, Yogesh
Singh, Vikram
Tiwari, Ratan
Kumar, Dinesh
Kaushik, Deepak
Singh, Jogendra
Narwal, Sneh
Jaiswal, Sarika
Iquebal, Mir Asif
Angadi, Ulavapp B.
Singh, Gyanendra
Rai, Anil
Singh, Gyanendra Pratap
Sheoran, Sonia
GWAS to Identify Novel QTNs for WSCs Accumulation in Wheat Peduncle Under Different Water Regimes
title GWAS to Identify Novel QTNs for WSCs Accumulation in Wheat Peduncle Under Different Water Regimes
title_full GWAS to Identify Novel QTNs for WSCs Accumulation in Wheat Peduncle Under Different Water Regimes
title_fullStr GWAS to Identify Novel QTNs for WSCs Accumulation in Wheat Peduncle Under Different Water Regimes
title_full_unstemmed GWAS to Identify Novel QTNs for WSCs Accumulation in Wheat Peduncle Under Different Water Regimes
title_short GWAS to Identify Novel QTNs for WSCs Accumulation in Wheat Peduncle Under Different Water Regimes
title_sort gwas to identify novel qtns for wscs accumulation in wheat peduncle under different water regimes
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8928439/
https://www.ncbi.nlm.nih.gov/pubmed/35310635
http://dx.doi.org/10.3389/fpls.2022.825687
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