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QTL mapping for quality traits using a high-density genetic map of wheat

Protein- and starch-related quality traits, which are quantitatively inherited and significantly influenced by the environment, are critical determinants of the end-use quality of wheat. We constructed a high-density genetic map containing 10,739 loci (5,399 unique loci) using a set of 184 recombina...

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Autores principales: Guo, Ying, Zhang, Guizhi, Guo, Baojin, Qu, Chunyan, Zhang, Mingxia, Kong, Fanmei, Zhao, Yan, Li, Sishen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7092975/
https://www.ncbi.nlm.nih.gov/pubmed/32208463
http://dx.doi.org/10.1371/journal.pone.0230601
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author Guo, Ying
Zhang, Guizhi
Guo, Baojin
Qu, Chunyan
Zhang, Mingxia
Kong, Fanmei
Zhao, Yan
Li, Sishen
author_facet Guo, Ying
Zhang, Guizhi
Guo, Baojin
Qu, Chunyan
Zhang, Mingxia
Kong, Fanmei
Zhao, Yan
Li, Sishen
author_sort Guo, Ying
collection PubMed
description Protein- and starch-related quality traits, which are quantitatively inherited and significantly influenced by the environment, are critical determinants of the end-use quality of wheat. We constructed a high-density genetic map containing 10,739 loci (5,399 unique loci) using a set of 184 recombinant inbred lines (RILs) derived from a cross of ‘Tainong 18 × Linmai 6’ (TL-RILs). In this study, a quantitative trait loci (QTLs) analysis was used to examine the genetic control of grain protein content, sedimentation value, farinograph parameters, falling number and the performance of the starch pasting properties using TL-RILs grown in a field for three years. A total of 106 QTLs for 13 quality traits were detected, distributed on the 21 chromosomes. Of these, 38 and 68 QTLs for protein- and starch-related traits, respectively, were detected in three environments and their average values (AV). Twenty-six relatively high-frequency QTLs (RHF-QTLs) that were detected in more than two environments. Twelve stable QTL clusters containing at least one RHF-QTL were detected and classified into three types: detected only for protein-related traits (type I), detected only for starch-related traits (type II), and detected for both protein- and starch-related traits (type III). A total of 339 markers flanked with 11 QTL clusters (all except C6), were found to be highly homologous with 282 high confidence (HC) and 57 low confidence (LC) candidate genes based on IWGSC RefSeq v 1.0. These stable QTLs and RHF-QTLs, especially those grouped into clusters, are credible and should be given priority for QTL fine-mapping and identification of candidate genes with which to explain the molecular mechanisms of quality development and inform marker-assisted breeding in the future.
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spelling pubmed-70929752020-04-01 QTL mapping for quality traits using a high-density genetic map of wheat Guo, Ying Zhang, Guizhi Guo, Baojin Qu, Chunyan Zhang, Mingxia Kong, Fanmei Zhao, Yan Li, Sishen PLoS One Research Article Protein- and starch-related quality traits, which are quantitatively inherited and significantly influenced by the environment, are critical determinants of the end-use quality of wheat. We constructed a high-density genetic map containing 10,739 loci (5,399 unique loci) using a set of 184 recombinant inbred lines (RILs) derived from a cross of ‘Tainong 18 × Linmai 6’ (TL-RILs). In this study, a quantitative trait loci (QTLs) analysis was used to examine the genetic control of grain protein content, sedimentation value, farinograph parameters, falling number and the performance of the starch pasting properties using TL-RILs grown in a field for three years. A total of 106 QTLs for 13 quality traits were detected, distributed on the 21 chromosomes. Of these, 38 and 68 QTLs for protein- and starch-related traits, respectively, were detected in three environments and their average values (AV). Twenty-six relatively high-frequency QTLs (RHF-QTLs) that were detected in more than two environments. Twelve stable QTL clusters containing at least one RHF-QTL were detected and classified into three types: detected only for protein-related traits (type I), detected only for starch-related traits (type II), and detected for both protein- and starch-related traits (type III). A total of 339 markers flanked with 11 QTL clusters (all except C6), were found to be highly homologous with 282 high confidence (HC) and 57 low confidence (LC) candidate genes based on IWGSC RefSeq v 1.0. These stable QTLs and RHF-QTLs, especially those grouped into clusters, are credible and should be given priority for QTL fine-mapping and identification of candidate genes with which to explain the molecular mechanisms of quality development and inform marker-assisted breeding in the future. Public Library of Science 2020-03-24 /pmc/articles/PMC7092975/ /pubmed/32208463 http://dx.doi.org/10.1371/journal.pone.0230601 Text en © 2020 Guo et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Guo, Ying
Zhang, Guizhi
Guo, Baojin
Qu, Chunyan
Zhang, Mingxia
Kong, Fanmei
Zhao, Yan
Li, Sishen
QTL mapping for quality traits using a high-density genetic map of wheat
title QTL mapping for quality traits using a high-density genetic map of wheat
title_full QTL mapping for quality traits using a high-density genetic map of wheat
title_fullStr QTL mapping for quality traits using a high-density genetic map of wheat
title_full_unstemmed QTL mapping for quality traits using a high-density genetic map of wheat
title_short QTL mapping for quality traits using a high-density genetic map of wheat
title_sort qtl mapping for quality traits using a high-density genetic map of wheat
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7092975/
https://www.ncbi.nlm.nih.gov/pubmed/32208463
http://dx.doi.org/10.1371/journal.pone.0230601
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