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Genetic dissection of grain architecture-related traits in a winter wheat population
BACKGROUND: The future productivity of wheat (T. aestivum L.) as the most grown crop worldwide is of utmost importance for global food security. Thousand kernel weight (TKW) in wheat is closely associated with grain architecture-related traits, e.g. kernel length (KL), kernel width (KW), kernel area...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8431894/ https://www.ncbi.nlm.nih.gov/pubmed/34507551 http://dx.doi.org/10.1186/s12870-021-03183-3 |
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author | Schierenbeck, Matías Alqudah, Ahmad M. Lohwasser, Ulrike Tarawneh, Rasha A. Simón, María Rosa Börner, Andreas |
author_facet | Schierenbeck, Matías Alqudah, Ahmad M. Lohwasser, Ulrike Tarawneh, Rasha A. Simón, María Rosa Börner, Andreas |
author_sort | Schierenbeck, Matías |
collection | PubMed |
description | BACKGROUND: The future productivity of wheat (T. aestivum L.) as the most grown crop worldwide is of utmost importance for global food security. Thousand kernel weight (TKW) in wheat is closely associated with grain architecture-related traits, e.g. kernel length (KL), kernel width (KW), kernel area (KA), kernel diameter ratio (KDR), and factor form density (FFD). Discovering the genetic architecture of natural variation in these traits, identifying QTL and candidate genes are the main aims of this study. Therefore, grain architecture-related traits in 261 worldwide winter accessions over three field-year experiments were evaluated. RESULTS: Genome-wide association analysis using 90K SNP array in FarmCPU model revealed several interesting genomic regions including 17 significant SNPs passing false discovery rate threshold and strongly associated with the studied traits. Four of associated SNPs were physically located inside candidate genes within LD interval e.g. BobWhite_c5872_589 (602,710,399 bp) found to be inside TraesCS6A01G383800 (602,699,767–602,711,726 bp). Further analysis reveals the four novel candidate genes potentially involved in more than one grain architecture-related traits with a pleiotropic effects e.g. TraesCS6A01G383800 gene on 6A encoding oxidoreductase activity was associated with TKW and KA. The allelic variation at the associated SNPs showed significant differences betweeen the accessions carying the wild and mutated alleles e.g. accessions carying C allele of BobWhite_c5872_589, TraesCS6A01G383800 had significantly higher TKW than the accessions carying T allele. Interestingly, these genes were highly expressed in the grain-tissues, demonstrating their pivotal role in controlling the grain architecture. CONCLUSIONS: These results are valuable for identifying regions associated with kernel weight and dimensions and potentially help breeders in improving kernel weight and architecture-related traits in order to increase wheat yield potential and end-use quality. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12870-021-03183-3. |
format | Online Article Text |
id | pubmed-8431894 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-84318942021-09-10 Genetic dissection of grain architecture-related traits in a winter wheat population Schierenbeck, Matías Alqudah, Ahmad M. Lohwasser, Ulrike Tarawneh, Rasha A. Simón, María Rosa Börner, Andreas BMC Plant Biol Research Article BACKGROUND: The future productivity of wheat (T. aestivum L.) as the most grown crop worldwide is of utmost importance for global food security. Thousand kernel weight (TKW) in wheat is closely associated with grain architecture-related traits, e.g. kernel length (KL), kernel width (KW), kernel area (KA), kernel diameter ratio (KDR), and factor form density (FFD). Discovering the genetic architecture of natural variation in these traits, identifying QTL and candidate genes are the main aims of this study. Therefore, grain architecture-related traits in 261 worldwide winter accessions over three field-year experiments were evaluated. RESULTS: Genome-wide association analysis using 90K SNP array in FarmCPU model revealed several interesting genomic regions including 17 significant SNPs passing false discovery rate threshold and strongly associated with the studied traits. Four of associated SNPs were physically located inside candidate genes within LD interval e.g. BobWhite_c5872_589 (602,710,399 bp) found to be inside TraesCS6A01G383800 (602,699,767–602,711,726 bp). Further analysis reveals the four novel candidate genes potentially involved in more than one grain architecture-related traits with a pleiotropic effects e.g. TraesCS6A01G383800 gene on 6A encoding oxidoreductase activity was associated with TKW and KA. The allelic variation at the associated SNPs showed significant differences betweeen the accessions carying the wild and mutated alleles e.g. accessions carying C allele of BobWhite_c5872_589, TraesCS6A01G383800 had significantly higher TKW than the accessions carying T allele. Interestingly, these genes were highly expressed in the grain-tissues, demonstrating their pivotal role in controlling the grain architecture. CONCLUSIONS: These results are valuable for identifying regions associated with kernel weight and dimensions and potentially help breeders in improving kernel weight and architecture-related traits in order to increase wheat yield potential and end-use quality. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12870-021-03183-3. BioMed Central 2021-09-10 /pmc/articles/PMC8431894/ /pubmed/34507551 http://dx.doi.org/10.1186/s12870-021-03183-3 Text en © The Author(s) 2021 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 Schierenbeck, Matías Alqudah, Ahmad M. Lohwasser, Ulrike Tarawneh, Rasha A. Simón, María Rosa Börner, Andreas Genetic dissection of grain architecture-related traits in a winter wheat population |
title | Genetic dissection of grain architecture-related traits in a winter wheat population |
title_full | Genetic dissection of grain architecture-related traits in a winter wheat population |
title_fullStr | Genetic dissection of grain architecture-related traits in a winter wheat population |
title_full_unstemmed | Genetic dissection of grain architecture-related traits in a winter wheat population |
title_short | Genetic dissection of grain architecture-related traits in a winter wheat population |
title_sort | genetic dissection of grain architecture-related traits in a winter wheat population |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8431894/ https://www.ncbi.nlm.nih.gov/pubmed/34507551 http://dx.doi.org/10.1186/s12870-021-03183-3 |
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