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Discovering consensus genomic regions in wheat for root-related traits by QTL meta-analysis
Root system architecture is crucial for wheat adaptation to drought stress, but phenotyping for root traits in breeding programmes is difficult and time-consuming owing to the belowground characteristics of the system. Identifying quantitative trait loci (QTLs) and linked molecular markers and using...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6646344/ https://www.ncbi.nlm.nih.gov/pubmed/31332216 http://dx.doi.org/10.1038/s41598-019-47038-2 |
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author | Soriano, Jose Miguel Alvaro, Fanny |
author_facet | Soriano, Jose Miguel Alvaro, Fanny |
author_sort | Soriano, Jose Miguel |
collection | PubMed |
description | Root system architecture is crucial for wheat adaptation to drought stress, but phenotyping for root traits in breeding programmes is difficult and time-consuming owing to the belowground characteristics of the system. Identifying quantitative trait loci (QTLs) and linked molecular markers and using marker-assisted selection is an efficient way to increase selection efficiency and boost genetic gains in breeding programmes. Hundreds of QTLs have been identified for different root traits in the last few years. In the current study, consensus QTL regions were identified through QTL meta-analysis. First, a consensus map comprising 7352 markers was constructed. For the meta-analysis, 754 QTLs were retrieved from the literature and 634 of them were projected onto the consensus map. Meta-analysis grouped 557 QTLs in 94 consensus QTL regions, or meta-QTLs (MQTLs), and 18 QTLs remained as singletons. The recently published genome sequence of wheat was used to search for gene models within the MQTL peaks. As a result, gene models for 68 of the 94 Root_MQTLs were found, 35 of them related to root architecture and/or drought stress response. This work will facilitate QTL cloning and pyramiding to develop new cultivars with specific root architecture for coping with environmental constraints. |
format | Online Article Text |
id | pubmed-6646344 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-66463442019-07-29 Discovering consensus genomic regions in wheat for root-related traits by QTL meta-analysis Soriano, Jose Miguel Alvaro, Fanny Sci Rep Article Root system architecture is crucial for wheat adaptation to drought stress, but phenotyping for root traits in breeding programmes is difficult and time-consuming owing to the belowground characteristics of the system. Identifying quantitative trait loci (QTLs) and linked molecular markers and using marker-assisted selection is an efficient way to increase selection efficiency and boost genetic gains in breeding programmes. Hundreds of QTLs have been identified for different root traits in the last few years. In the current study, consensus QTL regions were identified through QTL meta-analysis. First, a consensus map comprising 7352 markers was constructed. For the meta-analysis, 754 QTLs were retrieved from the literature and 634 of them were projected onto the consensus map. Meta-analysis grouped 557 QTLs in 94 consensus QTL regions, or meta-QTLs (MQTLs), and 18 QTLs remained as singletons. The recently published genome sequence of wheat was used to search for gene models within the MQTL peaks. As a result, gene models for 68 of the 94 Root_MQTLs were found, 35 of them related to root architecture and/or drought stress response. This work will facilitate QTL cloning and pyramiding to develop new cultivars with specific root architecture for coping with environmental constraints. Nature Publishing Group UK 2019-07-22 /pmc/articles/PMC6646344/ /pubmed/31332216 http://dx.doi.org/10.1038/s41598-019-47038-2 Text en © The Author(s) 2019 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Soriano, Jose Miguel Alvaro, Fanny Discovering consensus genomic regions in wheat for root-related traits by QTL meta-analysis |
title | Discovering consensus genomic regions in wheat for root-related traits by QTL meta-analysis |
title_full | Discovering consensus genomic regions in wheat for root-related traits by QTL meta-analysis |
title_fullStr | Discovering consensus genomic regions in wheat for root-related traits by QTL meta-analysis |
title_full_unstemmed | Discovering consensus genomic regions in wheat for root-related traits by QTL meta-analysis |
title_short | Discovering consensus genomic regions in wheat for root-related traits by QTL meta-analysis |
title_sort | discovering consensus genomic regions in wheat for root-related traits by qtl meta-analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6646344/ https://www.ncbi.nlm.nih.gov/pubmed/31332216 http://dx.doi.org/10.1038/s41598-019-47038-2 |
work_keys_str_mv | AT sorianojosemiguel discoveringconsensusgenomicregionsinwheatforrootrelatedtraitsbyqtlmetaanalysis AT alvarofanny discoveringconsensusgenomicregionsinwheatforrootrelatedtraitsbyqtlmetaanalysis |