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Multi-locus genome-wide association mapping for spike-related traits in bread wheat (Triticum aestivum L.)
BACKGROUND: Bread wheat (Triticum aestivum L.) is one of the most important cereal food crops for the global population. Spike-layer uniformity (the consistency of the spike distribution in the vertical space)-related traits (SLURTs) are quantitative and have been shown to directly affect yield pote...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8340506/ https://www.ncbi.nlm.nih.gov/pubmed/34353288 http://dx.doi.org/10.1186/s12864-021-07834-5 |
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author | Malik, Parveen Kumar, Jitendra Sharma, Shiveta Sharma, Rajiv Sharma, Shailendra |
author_facet | Malik, Parveen Kumar, Jitendra Sharma, Shiveta Sharma, Rajiv Sharma, Shailendra |
author_sort | Malik, Parveen |
collection | PubMed |
description | BACKGROUND: Bread wheat (Triticum aestivum L.) is one of the most important cereal food crops for the global population. Spike-layer uniformity (the consistency of the spike distribution in the vertical space)-related traits (SLURTs) are quantitative and have been shown to directly affect yield potential by modifying the plant architecture. Therefore, these parameters are important breeding targets for wheat improvement. The present study is the first genome-wide association study (GWAS) targeting SLURTs in wheat. In this study, a set of 225 diverse spring wheat accessions were used for multi-locus GWAS to evaluate SLURTs, including the number of spikes per plant (NSPP), spike length (SL), number of spikelets per spike (NSPS), grain weight per spike (GWPS), lowest tiller height (LTH), spike-layer thickness (SLT), spike-layer number (SLN) and spike-layer uniformity (SLU). RESULTS: In total, 136 significant marker trait associations (MTAs) were identified when the analysis was both performed individually and combined for two environments. Twenty-nine MTAs were detected in environment one, 48 MTAs were discovered in environment two and 59 MTAs were detected using combined data from the two environments. Altogether, 15 significant MTAs were found for five traits in one of the two environments, and four significant MTAs were detected for the two traits, LTH and SLU, in both environments i.e. E1, E2 and also in combined data from the two environments. In total, 279 candidate genes (CGs) were identified, including Chaperone DnaJ, ABC transporter-like, AP2/ERF, SWEET sugar transporter, as well as genes that have previously been associated with wheat spike development, seed development and grain yield. CONCLUSIONS: The MTAs detected through multi-locus GWAS will be useful for improving SLURTs and thus yield in wheat production through marker-assisted and genomic selection. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-021-07834-5. |
format | Online Article Text |
id | pubmed-8340506 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-83405062021-08-06 Multi-locus genome-wide association mapping for spike-related traits in bread wheat (Triticum aestivum L.) Malik, Parveen Kumar, Jitendra Sharma, Shiveta Sharma, Rajiv Sharma, Shailendra BMC Genomics Research Article BACKGROUND: Bread wheat (Triticum aestivum L.) is one of the most important cereal food crops for the global population. Spike-layer uniformity (the consistency of the spike distribution in the vertical space)-related traits (SLURTs) are quantitative and have been shown to directly affect yield potential by modifying the plant architecture. Therefore, these parameters are important breeding targets for wheat improvement. The present study is the first genome-wide association study (GWAS) targeting SLURTs in wheat. In this study, a set of 225 diverse spring wheat accessions were used for multi-locus GWAS to evaluate SLURTs, including the number of spikes per plant (NSPP), spike length (SL), number of spikelets per spike (NSPS), grain weight per spike (GWPS), lowest tiller height (LTH), spike-layer thickness (SLT), spike-layer number (SLN) and spike-layer uniformity (SLU). RESULTS: In total, 136 significant marker trait associations (MTAs) were identified when the analysis was both performed individually and combined for two environments. Twenty-nine MTAs were detected in environment one, 48 MTAs were discovered in environment two and 59 MTAs were detected using combined data from the two environments. Altogether, 15 significant MTAs were found for five traits in one of the two environments, and four significant MTAs were detected for the two traits, LTH and SLU, in both environments i.e. E1, E2 and also in combined data from the two environments. In total, 279 candidate genes (CGs) were identified, including Chaperone DnaJ, ABC transporter-like, AP2/ERF, SWEET sugar transporter, as well as genes that have previously been associated with wheat spike development, seed development and grain yield. CONCLUSIONS: The MTAs detected through multi-locus GWAS will be useful for improving SLURTs and thus yield in wheat production through marker-assisted and genomic selection. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-021-07834-5. BioMed Central 2021-08-05 /pmc/articles/PMC8340506/ /pubmed/34353288 http://dx.doi.org/10.1186/s12864-021-07834-5 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 Malik, Parveen Kumar, Jitendra Sharma, Shiveta Sharma, Rajiv Sharma, Shailendra Multi-locus genome-wide association mapping for spike-related traits in bread wheat (Triticum aestivum L.) |
title | Multi-locus genome-wide association mapping for spike-related traits in bread wheat (Triticum aestivum L.) |
title_full | Multi-locus genome-wide association mapping for spike-related traits in bread wheat (Triticum aestivum L.) |
title_fullStr | Multi-locus genome-wide association mapping for spike-related traits in bread wheat (Triticum aestivum L.) |
title_full_unstemmed | Multi-locus genome-wide association mapping for spike-related traits in bread wheat (Triticum aestivum L.) |
title_short | Multi-locus genome-wide association mapping for spike-related traits in bread wheat (Triticum aestivum L.) |
title_sort | multi-locus genome-wide association mapping for spike-related traits in bread wheat (triticum aestivum l.) |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8340506/ https://www.ncbi.nlm.nih.gov/pubmed/34353288 http://dx.doi.org/10.1186/s12864-021-07834-5 |
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