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Genomic analysis for heat and combined heat–drought resilience in bread wheat under field conditions
KEY MESSAGE: GWAS on a bread wheat panel with high D genome diversity identified novel alleles and QTLs associated with resilience to combined heat and drought stress under natural field conditions. ABSTRACT: As heat (H) and drought stresses occur concurrently under field conditions, studying them s...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8741676/ https://www.ncbi.nlm.nih.gov/pubmed/34655314 http://dx.doi.org/10.1007/s00122-021-03969-x |
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author | Itam, Michael O. Mega, Ryosuke Gorafi, Yasir S. A. Yamasaki, Yuji Tahir, Izzat S. A. Akashi, Kinya Tsujimoto, Hisashi |
author_facet | Itam, Michael O. Mega, Ryosuke Gorafi, Yasir S. A. Yamasaki, Yuji Tahir, Izzat S. A. Akashi, Kinya Tsujimoto, Hisashi |
author_sort | Itam, Michael O. |
collection | PubMed |
description | KEY MESSAGE: GWAS on a bread wheat panel with high D genome diversity identified novel alleles and QTLs associated with resilience to combined heat and drought stress under natural field conditions. ABSTRACT: As heat (H) and drought stresses occur concurrently under field conditions, studying them separately offers limited opportunities for wheat improvement. Here, a wheat diversity panel containing Aegilops tauschii introgressions was evaluated under H and combined heat–drought (HD) stresses to identify quantitative trait loci (QTLs) associated with resilience to the stresses, and to assess the practicability of harnessing Ae. tauschii diversity for breeding for combined stress resilience. Using genome-wide analysis, we identified alleles and QTLs on chromosomes 3D, 5D, and 7A controlling grain yield (GY), kernel number per spike, and thousand-kernel weight, and on 3D (521–549 Mbp) controlling GY alone. A strong marker–trait association (MTA) for GY stability on chromosome 3D (508.3 Mbp) explained 20.3% of the variation. Leaf traits—canopy temperature, vegetation index, and carbon isotope composition—were controlled by five QTLs on 2D (23–96, 511–554, and 606–614 Mbp), 3D (155–171 Mbp), and 5D (407–413 Mbp); some of them were pleiotropic for GY and yield-related traits. Further analysis revealed candidate genes, including GA20ox, regulating GY stability, and CaaX prenyl protease 2, regulating canopy temperature at the flowering stage, under H and HD stresses. As genome-wide association studies under HD in field conditions are scarce, our results provide genomic landmarks for wheat breeding to improve adaptation to H and HD conditions under climate change. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00122-021-03969-x. |
format | Online Article Text |
id | pubmed-8741676 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-87416762022-01-20 Genomic analysis for heat and combined heat–drought resilience in bread wheat under field conditions Itam, Michael O. Mega, Ryosuke Gorafi, Yasir S. A. Yamasaki, Yuji Tahir, Izzat S. A. Akashi, Kinya Tsujimoto, Hisashi Theor Appl Genet Original Article KEY MESSAGE: GWAS on a bread wheat panel with high D genome diversity identified novel alleles and QTLs associated with resilience to combined heat and drought stress under natural field conditions. ABSTRACT: As heat (H) and drought stresses occur concurrently under field conditions, studying them separately offers limited opportunities for wheat improvement. Here, a wheat diversity panel containing Aegilops tauschii introgressions was evaluated under H and combined heat–drought (HD) stresses to identify quantitative trait loci (QTLs) associated with resilience to the stresses, and to assess the practicability of harnessing Ae. tauschii diversity for breeding for combined stress resilience. Using genome-wide analysis, we identified alleles and QTLs on chromosomes 3D, 5D, and 7A controlling grain yield (GY), kernel number per spike, and thousand-kernel weight, and on 3D (521–549 Mbp) controlling GY alone. A strong marker–trait association (MTA) for GY stability on chromosome 3D (508.3 Mbp) explained 20.3% of the variation. Leaf traits—canopy temperature, vegetation index, and carbon isotope composition—were controlled by five QTLs on 2D (23–96, 511–554, and 606–614 Mbp), 3D (155–171 Mbp), and 5D (407–413 Mbp); some of them were pleiotropic for GY and yield-related traits. Further analysis revealed candidate genes, including GA20ox, regulating GY stability, and CaaX prenyl protease 2, regulating canopy temperature at the flowering stage, under H and HD stresses. As genome-wide association studies under HD in field conditions are scarce, our results provide genomic landmarks for wheat breeding to improve adaptation to H and HD conditions under climate change. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00122-021-03969-x. Springer Berlin Heidelberg 2021-10-16 2022 /pmc/articles/PMC8741676/ /pubmed/34655314 http://dx.doi.org/10.1007/s00122-021-03969-x 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/) . |
spellingShingle | Original Article Itam, Michael O. Mega, Ryosuke Gorafi, Yasir S. A. Yamasaki, Yuji Tahir, Izzat S. A. Akashi, Kinya Tsujimoto, Hisashi Genomic analysis for heat and combined heat–drought resilience in bread wheat under field conditions |
title | Genomic analysis for heat and combined heat–drought resilience in bread wheat under field conditions |
title_full | Genomic analysis for heat and combined heat–drought resilience in bread wheat under field conditions |
title_fullStr | Genomic analysis for heat and combined heat–drought resilience in bread wheat under field conditions |
title_full_unstemmed | Genomic analysis for heat and combined heat–drought resilience in bread wheat under field conditions |
title_short | Genomic analysis for heat and combined heat–drought resilience in bread wheat under field conditions |
title_sort | genomic analysis for heat and combined heat–drought resilience in bread wheat under field conditions |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8741676/ https://www.ncbi.nlm.nih.gov/pubmed/34655314 http://dx.doi.org/10.1007/s00122-021-03969-x |
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