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Elucidating the genetics of grain yield and stress-resilience in bread wheat using a large-scale genome-wide association mapping study with 55,568 lines
Wheat grain yield (GY) improvement using genomic tools is important for achieving yield breakthroughs. To dissect the genetic architecture of wheat GY potential and stress-resilience, we have designed this large-scale genome-wide association study using 100 datasets, comprising 105,000 GY observatio...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7933281/ https://www.ncbi.nlm.nih.gov/pubmed/33664297 http://dx.doi.org/10.1038/s41598-021-84308-4 |
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author | Juliana, Philomin Singh, Ravi Prakash Poland, Jesse Shrestha, Sandesh Huerta-Espino, Julio Govindan, Velu Mondal, Suchismita Crespo-Herrera, Leonardo Abdiel Kumar, Uttam Joshi, Arun Kumar Payne, Thomas Bhati, Pradeep Kumar Tomar, Vipin Consolacion, Franjel Campos Serna, Jaime Amador |
author_facet | Juliana, Philomin Singh, Ravi Prakash Poland, Jesse Shrestha, Sandesh Huerta-Espino, Julio Govindan, Velu Mondal, Suchismita Crespo-Herrera, Leonardo Abdiel Kumar, Uttam Joshi, Arun Kumar Payne, Thomas Bhati, Pradeep Kumar Tomar, Vipin Consolacion, Franjel Campos Serna, Jaime Amador |
author_sort | Juliana, Philomin |
collection | PubMed |
description | Wheat grain yield (GY) improvement using genomic tools is important for achieving yield breakthroughs. To dissect the genetic architecture of wheat GY potential and stress-resilience, we have designed this large-scale genome-wide association study using 100 datasets, comprising 105,000 GY observations from 55,568 wheat lines evaluated between 2003 and 2019 by the International Maize and Wheat Improvement Center and national partners. We report 801 GY-associated genotyping-by-sequencing markers significant in more than one dataset and the highest number of them were on chromosomes 2A, 6B, 6A, 5B, 1B and 7B. We then used the linkage disequilibrium (LD) between the consistently significant markers to designate 214 GY-associated LD-blocks and observed that 84.5% of the 58 GY-associated LD-blocks in severe-drought, 100% of the 48 GY-associated LD-blocks in early-heat and 85.9% of the 71 GY-associated LD-blocks in late-heat, overlapped with the GY-associated LD-blocks in the irrigated-bed planting environment, substantiating that simultaneous improvement for GY potential and stress-resilience is feasible. Furthermore, we generated the GY-associated marker profiles and analyzed the GY favorable allele frequencies for a large panel of 73,142 wheat lines, resulting in 44.5 million datapoints. Overall, the extensive resources presented in this study provide great opportunities to accelerate breeding for high-yielding and stress-resilient wheat varieties. |
format | Online Article Text |
id | pubmed-7933281 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-79332812021-03-08 Elucidating the genetics of grain yield and stress-resilience in bread wheat using a large-scale genome-wide association mapping study with 55,568 lines Juliana, Philomin Singh, Ravi Prakash Poland, Jesse Shrestha, Sandesh Huerta-Espino, Julio Govindan, Velu Mondal, Suchismita Crespo-Herrera, Leonardo Abdiel Kumar, Uttam Joshi, Arun Kumar Payne, Thomas Bhati, Pradeep Kumar Tomar, Vipin Consolacion, Franjel Campos Serna, Jaime Amador Sci Rep Article Wheat grain yield (GY) improvement using genomic tools is important for achieving yield breakthroughs. To dissect the genetic architecture of wheat GY potential and stress-resilience, we have designed this large-scale genome-wide association study using 100 datasets, comprising 105,000 GY observations from 55,568 wheat lines evaluated between 2003 and 2019 by the International Maize and Wheat Improvement Center and national partners. We report 801 GY-associated genotyping-by-sequencing markers significant in more than one dataset and the highest number of them were on chromosomes 2A, 6B, 6A, 5B, 1B and 7B. We then used the linkage disequilibrium (LD) between the consistently significant markers to designate 214 GY-associated LD-blocks and observed that 84.5% of the 58 GY-associated LD-blocks in severe-drought, 100% of the 48 GY-associated LD-blocks in early-heat and 85.9% of the 71 GY-associated LD-blocks in late-heat, overlapped with the GY-associated LD-blocks in the irrigated-bed planting environment, substantiating that simultaneous improvement for GY potential and stress-resilience is feasible. Furthermore, we generated the GY-associated marker profiles and analyzed the GY favorable allele frequencies for a large panel of 73,142 wheat lines, resulting in 44.5 million datapoints. Overall, the extensive resources presented in this study provide great opportunities to accelerate breeding for high-yielding and stress-resilient wheat varieties. Nature Publishing Group UK 2021-03-04 /pmc/articles/PMC7933281/ /pubmed/33664297 http://dx.doi.org/10.1038/s41598-021-84308-4 Text en © The Author(s) 2021 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 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/. |
spellingShingle | Article Juliana, Philomin Singh, Ravi Prakash Poland, Jesse Shrestha, Sandesh Huerta-Espino, Julio Govindan, Velu Mondal, Suchismita Crespo-Herrera, Leonardo Abdiel Kumar, Uttam Joshi, Arun Kumar Payne, Thomas Bhati, Pradeep Kumar Tomar, Vipin Consolacion, Franjel Campos Serna, Jaime Amador Elucidating the genetics of grain yield and stress-resilience in bread wheat using a large-scale genome-wide association mapping study with 55,568 lines |
title | Elucidating the genetics of grain yield and stress-resilience in bread wheat using a large-scale genome-wide association mapping study with 55,568 lines |
title_full | Elucidating the genetics of grain yield and stress-resilience in bread wheat using a large-scale genome-wide association mapping study with 55,568 lines |
title_fullStr | Elucidating the genetics of grain yield and stress-resilience in bread wheat using a large-scale genome-wide association mapping study with 55,568 lines |
title_full_unstemmed | Elucidating the genetics of grain yield and stress-resilience in bread wheat using a large-scale genome-wide association mapping study with 55,568 lines |
title_short | Elucidating the genetics of grain yield and stress-resilience in bread wheat using a large-scale genome-wide association mapping study with 55,568 lines |
title_sort | elucidating the genetics of grain yield and stress-resilience in bread wheat using a large-scale genome-wide association mapping study with 55,568 lines |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7933281/ https://www.ncbi.nlm.nih.gov/pubmed/33664297 http://dx.doi.org/10.1038/s41598-021-84308-4 |
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