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QTL detection for bread wheat processing quality in a nested association mapping population of semi-wild and domesticated wheat varieties
BACKGROUND: Wheat processing quality is an important factor in evaluating overall wheat quality, and dough characteristics are important when assessing the processing quality of wheat. As a notable germplasm resource, semi-wild wheat has a key role in the study of wheat processing quality. RESULTS:...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8935700/ https://www.ncbi.nlm.nih.gov/pubmed/35313801 http://dx.doi.org/10.1186/s12870-022-03523-x |
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author | Hu, Junmei Xiao, Guilian Jiang, Peng Zhao, Yan Zhang, Guangxu Ma, Xin Yao, Jie Xue, Lixia Su, Peisen Bao, Yinguang |
author_facet | Hu, Junmei Xiao, Guilian Jiang, Peng Zhao, Yan Zhang, Guangxu Ma, Xin Yao, Jie Xue, Lixia Su, Peisen Bao, Yinguang |
author_sort | Hu, Junmei |
collection | PubMed |
description | BACKGROUND: Wheat processing quality is an important factor in evaluating overall wheat quality, and dough characteristics are important when assessing the processing quality of wheat. As a notable germplasm resource, semi-wild wheat has a key role in the study of wheat processing quality. RESULTS: In this study, four dough rheological characteristics were collected in four environments using a nested association mapping (NAM) population consisting of semi-wild and domesticated wheat varieties to identify quantitative trait loci (QTL) for wheat processing quality. A total of 49 QTL for wheat processing quality were detected, explaining 0.36–10.82% of the phenotypic variation. These QTL were located on all wheat chromosomes except for 2D, 3A, 3D, 6B, 6D and 7D. Compared to previous studies, 29 QTL were newly identified. Four novel QTL, QMlPH-1B.4, QMlPH-3B.4, QWdEm-1B.2 and QWdEm-3B.2, were stably identified in three or more environments, among which QMlPH-3B.4 was a major QTL. Moreover, eight important genetic regions for wheat processing quality were identified on chromosomes 1B, 3B and 4D, which showed pleiotropy for dough characteristics. In addition, out of 49 QTL, 15 favorable alleles came from three semi-wild parents, suggesting that the QTL alleles provided by the semi-wild parent were not utilized in domesticated varieties. CONCLUSIONS: The results show that semi-wild wheat varieties can enrich the existing wheat gene pool and provide broader variation resources for wheat genetic research. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12870-022-03523-x. |
format | Online Article Text |
id | pubmed-8935700 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-89357002022-03-23 QTL detection for bread wheat processing quality in a nested association mapping population of semi-wild and domesticated wheat varieties Hu, Junmei Xiao, Guilian Jiang, Peng Zhao, Yan Zhang, Guangxu Ma, Xin Yao, Jie Xue, Lixia Su, Peisen Bao, Yinguang BMC Plant Biol Research Article BACKGROUND: Wheat processing quality is an important factor in evaluating overall wheat quality, and dough characteristics are important when assessing the processing quality of wheat. As a notable germplasm resource, semi-wild wheat has a key role in the study of wheat processing quality. RESULTS: In this study, four dough rheological characteristics were collected in four environments using a nested association mapping (NAM) population consisting of semi-wild and domesticated wheat varieties to identify quantitative trait loci (QTL) for wheat processing quality. A total of 49 QTL for wheat processing quality were detected, explaining 0.36–10.82% of the phenotypic variation. These QTL were located on all wheat chromosomes except for 2D, 3A, 3D, 6B, 6D and 7D. Compared to previous studies, 29 QTL were newly identified. Four novel QTL, QMlPH-1B.4, QMlPH-3B.4, QWdEm-1B.2 and QWdEm-3B.2, were stably identified in three or more environments, among which QMlPH-3B.4 was a major QTL. Moreover, eight important genetic regions for wheat processing quality were identified on chromosomes 1B, 3B and 4D, which showed pleiotropy for dough characteristics. In addition, out of 49 QTL, 15 favorable alleles came from three semi-wild parents, suggesting that the QTL alleles provided by the semi-wild parent were not utilized in domesticated varieties. CONCLUSIONS: The results show that semi-wild wheat varieties can enrich the existing wheat gene pool and provide broader variation resources for wheat genetic research. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12870-022-03523-x. BioMed Central 2022-03-21 /pmc/articles/PMC8935700/ /pubmed/35313801 http://dx.doi.org/10.1186/s12870-022-03523-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Hu, Junmei Xiao, Guilian Jiang, Peng Zhao, Yan Zhang, Guangxu Ma, Xin Yao, Jie Xue, Lixia Su, Peisen Bao, Yinguang QTL detection for bread wheat processing quality in a nested association mapping population of semi-wild and domesticated wheat varieties |
title | QTL detection for bread wheat processing quality in a nested association mapping population of semi-wild and domesticated wheat varieties |
title_full | QTL detection for bread wheat processing quality in a nested association mapping population of semi-wild and domesticated wheat varieties |
title_fullStr | QTL detection for bread wheat processing quality in a nested association mapping population of semi-wild and domesticated wheat varieties |
title_full_unstemmed | QTL detection for bread wheat processing quality in a nested association mapping population of semi-wild and domesticated wheat varieties |
title_short | QTL detection for bread wheat processing quality in a nested association mapping population of semi-wild and domesticated wheat varieties |
title_sort | qtl detection for bread wheat processing quality in a nested association mapping population of semi-wild and domesticated wheat varieties |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8935700/ https://www.ncbi.nlm.nih.gov/pubmed/35313801 http://dx.doi.org/10.1186/s12870-022-03523-x |
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