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Identification of QTLs for wheat heading time across multiple-environments

KEY MESSAGE: The genetic response to changing climatic factors selects consistent across the tested environments and location-specific thermo-sensitive and photoperiod susceptible alleles in lower and higher altitudes, respectively, for starting flowering in winter wheat. ABSTRACT: Wheat breeders se...

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Autores principales: Benaouda, Salma, Dadshani, Said, Koua, Patrice, Léon, Jens, Ballvora, Agim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9325850/
https://www.ncbi.nlm.nih.gov/pubmed/35776141
http://dx.doi.org/10.1007/s00122-022-04152-6
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author Benaouda, Salma
Dadshani, Said
Koua, Patrice
Léon, Jens
Ballvora, Agim
author_facet Benaouda, Salma
Dadshani, Said
Koua, Patrice
Léon, Jens
Ballvora, Agim
author_sort Benaouda, Salma
collection PubMed
description KEY MESSAGE: The genetic response to changing climatic factors selects consistent across the tested environments and location-specific thermo-sensitive and photoperiod susceptible alleles in lower and higher altitudes, respectively, for starting flowering in winter wheat. ABSTRACT: Wheat breeders select heading date to match the most favorable conditions for their target environments and this is favored by the extensive genetic variation for this trait that has the potential to be further explored. In this study, we used a germplasm with broad geographic distribution and tested it in multi-location field trials across Germany over three years. The genotypic response to the variation in the climatic parameters depending on location and year uncovered the effect of photoperiod and spring temperatures in accelerating heading date in higher and lower latitudes, respectively. Spring temperature dominates other factors in inducing heading, whereas the higher amount of solar radiation delays it. A genome-wide scan of marker-trait associations with heading date detected two QTL: an adapted allele at locus TaHd102 on chromosome 5A that has a consistent effect on HD in German cultivars in multiple environments and a non-adapted allele at locus TaHd044 on chromosome 3A that accelerates flowering by 5.6 days. TaHd102 and TaHd044 explain 13.8% and 33% of the genetic variance, respectively. The interplay of the climatic variables led to the detection of environment specific association responding to temperature in lower latitudes and photoperiod in higher ones. Another locus TaHd098 on chromosome 5A showed epistatic interactions with 15 known regulators of flowering time when non-adapted cultivars from outside Germany were included in the analysis. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00122-022-04152-6.
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spelling pubmed-93258502022-07-28 Identification of QTLs for wheat heading time across multiple-environments Benaouda, Salma Dadshani, Said Koua, Patrice Léon, Jens Ballvora, Agim Theor Appl Genet Original Article KEY MESSAGE: The genetic response to changing climatic factors selects consistent across the tested environments and location-specific thermo-sensitive and photoperiod susceptible alleles in lower and higher altitudes, respectively, for starting flowering in winter wheat. ABSTRACT: Wheat breeders select heading date to match the most favorable conditions for their target environments and this is favored by the extensive genetic variation for this trait that has the potential to be further explored. In this study, we used a germplasm with broad geographic distribution and tested it in multi-location field trials across Germany over three years. The genotypic response to the variation in the climatic parameters depending on location and year uncovered the effect of photoperiod and spring temperatures in accelerating heading date in higher and lower latitudes, respectively. Spring temperature dominates other factors in inducing heading, whereas the higher amount of solar radiation delays it. A genome-wide scan of marker-trait associations with heading date detected two QTL: an adapted allele at locus TaHd102 on chromosome 5A that has a consistent effect on HD in German cultivars in multiple environments and a non-adapted allele at locus TaHd044 on chromosome 3A that accelerates flowering by 5.6 days. TaHd102 and TaHd044 explain 13.8% and 33% of the genetic variance, respectively. The interplay of the climatic variables led to the detection of environment specific association responding to temperature in lower latitudes and photoperiod in higher ones. Another locus TaHd098 on chromosome 5A showed epistatic interactions with 15 known regulators of flowering time when non-adapted cultivars from outside Germany were included in the analysis. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00122-022-04152-6. Springer Berlin Heidelberg 2022-07-01 2022 /pmc/articles/PMC9325850/ /pubmed/35776141 http://dx.doi.org/10.1007/s00122-022-04152-6 Text en © The Author(s) 2022 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
Benaouda, Salma
Dadshani, Said
Koua, Patrice
Léon, Jens
Ballvora, Agim
Identification of QTLs for wheat heading time across multiple-environments
title Identification of QTLs for wheat heading time across multiple-environments
title_full Identification of QTLs for wheat heading time across multiple-environments
title_fullStr Identification of QTLs for wheat heading time across multiple-environments
title_full_unstemmed Identification of QTLs for wheat heading time across multiple-environments
title_short Identification of QTLs for wheat heading time across multiple-environments
title_sort identification of qtls for wheat heading time across multiple-environments
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9325850/
https://www.ncbi.nlm.nih.gov/pubmed/35776141
http://dx.doi.org/10.1007/s00122-022-04152-6
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