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Genome-wide association mapping for flowering and maturity in tropical soybean: implications for breeding strategies
Knowledge of the genetic architecture of flowering and maturity is needed to develop effective breeding strategies in tropical soybean. The aim of this study was to identify haplotypes across multiple environments that contribute to flowering time and maturity, with the purpose of selecting desired...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Japanese Society of Breeding
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5790042/ https://www.ncbi.nlm.nih.gov/pubmed/29398937 http://dx.doi.org/10.1270/jsbbs.17024 |
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author | Contreras-Soto, Rodrigo Iván Mora, Freddy Lazzari, Fabiane de Oliveira, Marco Antônio Rott Scapim, Carlos Alberto Schuster, Ivan |
author_facet | Contreras-Soto, Rodrigo Iván Mora, Freddy Lazzari, Fabiane de Oliveira, Marco Antônio Rott Scapim, Carlos Alberto Schuster, Ivan |
author_sort | Contreras-Soto, Rodrigo Iván |
collection | PubMed |
description | Knowledge of the genetic architecture of flowering and maturity is needed to develop effective breeding strategies in tropical soybean. The aim of this study was to identify haplotypes across multiple environments that contribute to flowering time and maturity, with the purpose of selecting desired alleles, but maintaining a minimal impact on yield-related traits. For this purpose, a genome-wide association study (GWAS) was undertaken to identify genomic regions that control days to flowering (DTF) and maturity (DTM) using a soybean association mapping panel genotyped for single nucleotide polymorphism (SNP) markers. Complementarily, yield-related traits were also assessed to discuss the implications for breeding strategies. To detect either stable or specific associations, the soybean cultivars (N = 141) were field-evaluated across eight tropical environments of Brazil. Seventy-two and forty associations were significant at the genome-wide level relating respectively to DTM and DTF, in two or more environments. Haplotype-based GWAS identified three haplotypes (Gm12_Hap12; Gm19_Hap42 and Gm20_Hap32) significantly co-associated with DTF, DTM and yield-related traits in single and multiple environments. These results indicate that these genomic regions may contain genes that have pleiotropic effects on time to flowering, maturity and yield-related traits, which are tightly linked with multiple other genes with high rates of linkage disequilibrium. |
format | Online Article Text |
id | pubmed-5790042 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Japanese Society of Breeding |
record_format | MEDLINE/PubMed |
spelling | pubmed-57900422018-02-02 Genome-wide association mapping for flowering and maturity in tropical soybean: implications for breeding strategies Contreras-Soto, Rodrigo Iván Mora, Freddy Lazzari, Fabiane de Oliveira, Marco Antônio Rott Scapim, Carlos Alberto Schuster, Ivan Breed Sci Research Paper Knowledge of the genetic architecture of flowering and maturity is needed to develop effective breeding strategies in tropical soybean. The aim of this study was to identify haplotypes across multiple environments that contribute to flowering time and maturity, with the purpose of selecting desired alleles, but maintaining a minimal impact on yield-related traits. For this purpose, a genome-wide association study (GWAS) was undertaken to identify genomic regions that control days to flowering (DTF) and maturity (DTM) using a soybean association mapping panel genotyped for single nucleotide polymorphism (SNP) markers. Complementarily, yield-related traits were also assessed to discuss the implications for breeding strategies. To detect either stable or specific associations, the soybean cultivars (N = 141) were field-evaluated across eight tropical environments of Brazil. Seventy-two and forty associations were significant at the genome-wide level relating respectively to DTM and DTF, in two or more environments. Haplotype-based GWAS identified three haplotypes (Gm12_Hap12; Gm19_Hap42 and Gm20_Hap32) significantly co-associated with DTF, DTM and yield-related traits in single and multiple environments. These results indicate that these genomic regions may contain genes that have pleiotropic effects on time to flowering, maturity and yield-related traits, which are tightly linked with multiple other genes with high rates of linkage disequilibrium. Japanese Society of Breeding 2017-12 2017-11-16 /pmc/articles/PMC5790042/ /pubmed/29398937 http://dx.doi.org/10.1270/jsbbs.17024 Text en Copyright © 2017 by JAPANESE SOCIETY OF BREEDING http://creativecommons.org/licenses/by-nc-nd/3.0 This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Paper Contreras-Soto, Rodrigo Iván Mora, Freddy Lazzari, Fabiane de Oliveira, Marco Antônio Rott Scapim, Carlos Alberto Schuster, Ivan Genome-wide association mapping for flowering and maturity in tropical soybean: implications for breeding strategies |
title | Genome-wide association mapping for flowering and maturity in tropical soybean: implications for breeding strategies |
title_full | Genome-wide association mapping for flowering and maturity in tropical soybean: implications for breeding strategies |
title_fullStr | Genome-wide association mapping for flowering and maturity in tropical soybean: implications for breeding strategies |
title_full_unstemmed | Genome-wide association mapping for flowering and maturity in tropical soybean: implications for breeding strategies |
title_short | Genome-wide association mapping for flowering and maturity in tropical soybean: implications for breeding strategies |
title_sort | genome-wide association mapping for flowering and maturity in tropical soybean: implications for breeding strategies |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5790042/ https://www.ncbi.nlm.nih.gov/pubmed/29398937 http://dx.doi.org/10.1270/jsbbs.17024 |
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