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Prospects of GWAS and predictive breeding for European winter wheat’s grain protein content, grain starch content, and grain hardness

Grain quality traits determine the classification of registered wheat (Triticum aestivum L.) varieties. Although environmental factors and crop management practices exert a considerable influence on wheat quality traits, a significant proportion of the variance is attributed to the genetic factors....

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Autores principales: Muqaddasi, Quddoos H., Brassac, Jonathan, Ebmeyer, Erhard, Kollers, Sonja, Korzun, Viktor, Argillier, Odile, Stiewe, Gunther, Plieske, Jörg, Ganal, Martin W., Röder, Marion S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7385145/
https://www.ncbi.nlm.nih.gov/pubmed/32719416
http://dx.doi.org/10.1038/s41598-020-69381-5
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author Muqaddasi, Quddoos H.
Brassac, Jonathan
Ebmeyer, Erhard
Kollers, Sonja
Korzun, Viktor
Argillier, Odile
Stiewe, Gunther
Plieske, Jörg
Ganal, Martin W.
Röder, Marion S.
author_facet Muqaddasi, Quddoos H.
Brassac, Jonathan
Ebmeyer, Erhard
Kollers, Sonja
Korzun, Viktor
Argillier, Odile
Stiewe, Gunther
Plieske, Jörg
Ganal, Martin W.
Röder, Marion S.
author_sort Muqaddasi, Quddoos H.
collection PubMed
description Grain quality traits determine the classification of registered wheat (Triticum aestivum L.) varieties. Although environmental factors and crop management practices exert a considerable influence on wheat quality traits, a significant proportion of the variance is attributed to the genetic factors. To identify the underlying genetic factors of wheat quality parameters viz., grain protein content (GPC), grain starch content (GSC), and grain hardness (GH), we evaluated 372 diverse European wheat varieties in replicated field trials in up to eight environments. We observed that all of the investigated traits hold a wide and significant genetic variation, and a significant negative correlation exists between GPC and GSC plus grain yield. Our association analyses based on 26,694 high-quality single nucleotide polymorphic markers revealed a strong quantitative genetic nature of GPC and GSC with associations on groups 2, 3, and 6 chromosomes. The identification of known Puroindoline-b gene for GH provided a positive analytic proof for our studies. We report that a locus QGpc.ipk-6A controls both GPC and GSC with opposite allelic effects. Based on wheat's reference and pan-genome sequences, the physical characterization of two loci viz., QGpc.ipk-2B and QGpc.ipk-6A facilitated the identification of the candidate genes for GPC. Furthermore, by exploiting additive and epistatic interactions of loci, we evaluated the prospects of predictive breeding for the investigated traits that suggested its efficient use in the breeding programs.
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spelling pubmed-73851452020-07-28 Prospects of GWAS and predictive breeding for European winter wheat’s grain protein content, grain starch content, and grain hardness Muqaddasi, Quddoos H. Brassac, Jonathan Ebmeyer, Erhard Kollers, Sonja Korzun, Viktor Argillier, Odile Stiewe, Gunther Plieske, Jörg Ganal, Martin W. Röder, Marion S. Sci Rep Article Grain quality traits determine the classification of registered wheat (Triticum aestivum L.) varieties. Although environmental factors and crop management practices exert a considerable influence on wheat quality traits, a significant proportion of the variance is attributed to the genetic factors. To identify the underlying genetic factors of wheat quality parameters viz., grain protein content (GPC), grain starch content (GSC), and grain hardness (GH), we evaluated 372 diverse European wheat varieties in replicated field trials in up to eight environments. We observed that all of the investigated traits hold a wide and significant genetic variation, and a significant negative correlation exists between GPC and GSC plus grain yield. Our association analyses based on 26,694 high-quality single nucleotide polymorphic markers revealed a strong quantitative genetic nature of GPC and GSC with associations on groups 2, 3, and 6 chromosomes. The identification of known Puroindoline-b gene for GH provided a positive analytic proof for our studies. We report that a locus QGpc.ipk-6A controls both GPC and GSC with opposite allelic effects. Based on wheat's reference and pan-genome sequences, the physical characterization of two loci viz., QGpc.ipk-2B and QGpc.ipk-6A facilitated the identification of the candidate genes for GPC. Furthermore, by exploiting additive and epistatic interactions of loci, we evaluated the prospects of predictive breeding for the investigated traits that suggested its efficient use in the breeding programs. Nature Publishing Group UK 2020-07-27 /pmc/articles/PMC7385145/ /pubmed/32719416 http://dx.doi.org/10.1038/s41598-020-69381-5 Text en © The Author(s) 2020 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Muqaddasi, Quddoos H.
Brassac, Jonathan
Ebmeyer, Erhard
Kollers, Sonja
Korzun, Viktor
Argillier, Odile
Stiewe, Gunther
Plieske, Jörg
Ganal, Martin W.
Röder, Marion S.
Prospects of GWAS and predictive breeding for European winter wheat’s grain protein content, grain starch content, and grain hardness
title Prospects of GWAS and predictive breeding for European winter wheat’s grain protein content, grain starch content, and grain hardness
title_full Prospects of GWAS and predictive breeding for European winter wheat’s grain protein content, grain starch content, and grain hardness
title_fullStr Prospects of GWAS and predictive breeding for European winter wheat’s grain protein content, grain starch content, and grain hardness
title_full_unstemmed Prospects of GWAS and predictive breeding for European winter wheat’s grain protein content, grain starch content, and grain hardness
title_short Prospects of GWAS and predictive breeding for European winter wheat’s grain protein content, grain starch content, and grain hardness
title_sort prospects of gwas and predictive breeding for european winter wheat’s grain protein content, grain starch content, and grain hardness
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7385145/
https://www.ncbi.nlm.nih.gov/pubmed/32719416
http://dx.doi.org/10.1038/s41598-020-69381-5
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