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Prioritizing quantitative trait loci for root system architecture in tetraploid wheat
Optimization of root system architecture (RSA) traits is an important objective for modern wheat breeding. Linkage and association mapping for RSA in two recombinant inbred line populations and one association mapping panel of 183 elite durum wheat (Triticum turgidum L. var. durum Desf.) accessions...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4753857/ https://www.ncbi.nlm.nih.gov/pubmed/26880749 http://dx.doi.org/10.1093/jxb/erw039 |
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author | Maccaferri, Marco El-Feki, Walid Nazemi, Ghasemali Salvi, Silvio Canè, Maria Angela Colalongo, Maria Chiara Stefanelli, Sandra Tuberosa, Roberto |
author_facet | Maccaferri, Marco El-Feki, Walid Nazemi, Ghasemali Salvi, Silvio Canè, Maria Angela Colalongo, Maria Chiara Stefanelli, Sandra Tuberosa, Roberto |
author_sort | Maccaferri, Marco |
collection | PubMed |
description | Optimization of root system architecture (RSA) traits is an important objective for modern wheat breeding. Linkage and association mapping for RSA in two recombinant inbred line populations and one association mapping panel of 183 elite durum wheat (Triticum turgidum L. var. durum Desf.) accessions evaluated as seedlings grown on filter paper/polycarbonate screening plates revealed 20 clusters of quantitative trait loci (QTLs) for root length and number, as well as 30 QTLs for root growth angle (RGA). Divergent RGA phenotypes observed by seminal root screening were validated by root phenotyping of field-grown adult plants. QTLs were mapped on a high-density tetraploid consensus map based on transcript-associated Illumina 90K single nucleotide polymorphisms (SNPs) developed for bread and durum wheat, thus allowing for an accurate cross-referencing of RSA QTLs between durum and bread wheat. Among the main QTL clusters for root length and number highlighted in this study, 15 overlapped with QTLs for multiple RSA traits reported in bread wheat, while out of 30 QTLs for RGA, only six showed co-location with previously reported QTLs in wheat. Based on their relative additive effects/significance, allelic distribution in the association mapping panel, and co-location with QTLs for grain weight and grain yield, the RSA QTLs have been prioritized in terms of breeding value. Three major QTL clusters for root length and number (RSA_QTL_cluster_5#, RSA_QTL_cluster_6#, and RSA_QTL_cluster_12#) and nine RGA QTL clusters (QRGA.ubo-2A.1, QRGA.ubo-2A.3, QRGA.ubo-2B.2/2B.3, QRGA.ubo-4B.4, QRGA.ubo-6A.1, QRGA.ubo-6A.2, QRGA.ubo-7A.1, QRGA.ubo-7A.2, and QRGA.ubo-7B) appear particularly valuable for further characterization towards a possible implementation of breeding applications in marker-assisted selection and/or cloning of the causal genes underlying the QTLs. |
format | Online Article Text |
id | pubmed-4753857 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-47538572016-02-16 Prioritizing quantitative trait loci for root system architecture in tetraploid wheat Maccaferri, Marco El-Feki, Walid Nazemi, Ghasemali Salvi, Silvio Canè, Maria Angela Colalongo, Maria Chiara Stefanelli, Sandra Tuberosa, Roberto J Exp Bot Research Paper Optimization of root system architecture (RSA) traits is an important objective for modern wheat breeding. Linkage and association mapping for RSA in two recombinant inbred line populations and one association mapping panel of 183 elite durum wheat (Triticum turgidum L. var. durum Desf.) accessions evaluated as seedlings grown on filter paper/polycarbonate screening plates revealed 20 clusters of quantitative trait loci (QTLs) for root length and number, as well as 30 QTLs for root growth angle (RGA). Divergent RGA phenotypes observed by seminal root screening were validated by root phenotyping of field-grown adult plants. QTLs were mapped on a high-density tetraploid consensus map based on transcript-associated Illumina 90K single nucleotide polymorphisms (SNPs) developed for bread and durum wheat, thus allowing for an accurate cross-referencing of RSA QTLs between durum and bread wheat. Among the main QTL clusters for root length and number highlighted in this study, 15 overlapped with QTLs for multiple RSA traits reported in bread wheat, while out of 30 QTLs for RGA, only six showed co-location with previously reported QTLs in wheat. Based on their relative additive effects/significance, allelic distribution in the association mapping panel, and co-location with QTLs for grain weight and grain yield, the RSA QTLs have been prioritized in terms of breeding value. Three major QTL clusters for root length and number (RSA_QTL_cluster_5#, RSA_QTL_cluster_6#, and RSA_QTL_cluster_12#) and nine RGA QTL clusters (QRGA.ubo-2A.1, QRGA.ubo-2A.3, QRGA.ubo-2B.2/2B.3, QRGA.ubo-4B.4, QRGA.ubo-6A.1, QRGA.ubo-6A.2, QRGA.ubo-7A.1, QRGA.ubo-7A.2, and QRGA.ubo-7B) appear particularly valuable for further characterization towards a possible implementation of breeding applications in marker-assisted selection and/or cloning of the causal genes underlying the QTLs. Oxford University Press 2016-02 2016-02-13 /pmc/articles/PMC4753857/ /pubmed/26880749 http://dx.doi.org/10.1093/jxb/erw039 Text en © The Author 2016. Published by Oxford University Press on behalf of the Society for Experimental Biology. http://creativecommons.org/licenses/by/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Paper Maccaferri, Marco El-Feki, Walid Nazemi, Ghasemali Salvi, Silvio Canè, Maria Angela Colalongo, Maria Chiara Stefanelli, Sandra Tuberosa, Roberto Prioritizing quantitative trait loci for root system architecture in tetraploid wheat |
title | Prioritizing quantitative trait loci for root system architecture in tetraploid wheat |
title_full | Prioritizing quantitative trait loci for root system architecture in tetraploid wheat |
title_fullStr | Prioritizing quantitative trait loci for root system architecture in tetraploid wheat |
title_full_unstemmed | Prioritizing quantitative trait loci for root system architecture in tetraploid wheat |
title_short | Prioritizing quantitative trait loci for root system architecture in tetraploid wheat |
title_sort | prioritizing quantitative trait loci for root system architecture in tetraploid wheat |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4753857/ https://www.ncbi.nlm.nih.gov/pubmed/26880749 http://dx.doi.org/10.1093/jxb/erw039 |
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