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Meta-analysis of QTL reveals the genetic control of yield-related traits and seed protein content in pea

Pea is one of the most important grain legume crops in temperate regions worldwide. Improving pea yield is a critical breeding target. Nine inter-connected pea recombinant inbred line populations were evaluated in nine environments at INRAE Dijon, France and genotyped using the GenoPea 13.2 K SNP ar...

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Autores principales: Klein, Anthony, Houtin, Hervé, Rond-Coissieux, Céline, Naudet-Huart, Myriam, Touratier, Michael, Marget, Pascal, Burstin, Judith
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7522997/
https://www.ncbi.nlm.nih.gov/pubmed/32985526
http://dx.doi.org/10.1038/s41598-020-72548-9
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author Klein, Anthony
Houtin, Hervé
Rond-Coissieux, Céline
Naudet-Huart, Myriam
Touratier, Michael
Marget, Pascal
Burstin, Judith
author_facet Klein, Anthony
Houtin, Hervé
Rond-Coissieux, Céline
Naudet-Huart, Myriam
Touratier, Michael
Marget, Pascal
Burstin, Judith
author_sort Klein, Anthony
collection PubMed
description Pea is one of the most important grain legume crops in temperate regions worldwide. Improving pea yield is a critical breeding target. Nine inter-connected pea recombinant inbred line populations were evaluated in nine environments at INRAE Dijon, France and genotyped using the GenoPea 13.2 K SNP array. Each population has been evaluated in two to four environments. A multi-population Quantitative Trait Loci (QTL) analysis for seed weight per plant (SW), seed number per plant (SN), thousand seed weight (TSW) and seed protein content (SPC) was done. QTL were then projected on the multi-population consensus map and a meta-analysis of QTL was performed. This analysis identified 17 QTL for SW, 16 QTL for SN, 35 QTL for TSW and 21 QTL for SPC, shedding light on trait relationships. These QTL were resolved into 27 metaQTL. Some of them showed small confidence intervals of less than 2 cM encompassing less than one hundred underlying candidate genes. The precision of metaQTL and the potential candidate genes reported in this study enable their use for marker-assisted selection and provide a foundation towards map-based identification of causal polymorphisms.
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spelling pubmed-75229972020-09-29 Meta-analysis of QTL reveals the genetic control of yield-related traits and seed protein content in pea Klein, Anthony Houtin, Hervé Rond-Coissieux, Céline Naudet-Huart, Myriam Touratier, Michael Marget, Pascal Burstin, Judith Sci Rep Article Pea is one of the most important grain legume crops in temperate regions worldwide. Improving pea yield is a critical breeding target. Nine inter-connected pea recombinant inbred line populations were evaluated in nine environments at INRAE Dijon, France and genotyped using the GenoPea 13.2 K SNP array. Each population has been evaluated in two to four environments. A multi-population Quantitative Trait Loci (QTL) analysis for seed weight per plant (SW), seed number per plant (SN), thousand seed weight (TSW) and seed protein content (SPC) was done. QTL were then projected on the multi-population consensus map and a meta-analysis of QTL was performed. This analysis identified 17 QTL for SW, 16 QTL for SN, 35 QTL for TSW and 21 QTL for SPC, shedding light on trait relationships. These QTL were resolved into 27 metaQTL. Some of them showed small confidence intervals of less than 2 cM encompassing less than one hundred underlying candidate genes. The precision of metaQTL and the potential candidate genes reported in this study enable their use for marker-assisted selection and provide a foundation towards map-based identification of causal polymorphisms. Nature Publishing Group UK 2020-09-28 /pmc/articles/PMC7522997/ /pubmed/32985526 http://dx.doi.org/10.1038/s41598-020-72548-9 Text en © The Author(s) 2020 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
Klein, Anthony
Houtin, Hervé
Rond-Coissieux, Céline
Naudet-Huart, Myriam
Touratier, Michael
Marget, Pascal
Burstin, Judith
Meta-analysis of QTL reveals the genetic control of yield-related traits and seed protein content in pea
title Meta-analysis of QTL reveals the genetic control of yield-related traits and seed protein content in pea
title_full Meta-analysis of QTL reveals the genetic control of yield-related traits and seed protein content in pea
title_fullStr Meta-analysis of QTL reveals the genetic control of yield-related traits and seed protein content in pea
title_full_unstemmed Meta-analysis of QTL reveals the genetic control of yield-related traits and seed protein content in pea
title_short Meta-analysis of QTL reveals the genetic control of yield-related traits and seed protein content in pea
title_sort meta-analysis of qtl reveals the genetic control of yield-related traits and seed protein content in pea
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7522997/
https://www.ncbi.nlm.nih.gov/pubmed/32985526
http://dx.doi.org/10.1038/s41598-020-72548-9
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