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Phenotypic Characterization and Genetic Dissection of Growth Period Traits in Soybean (Glycine max) Using Association Mapping
The growth period traits are important traits that affect soybean yield. The insights into the genetic basis of growth period traits can provide theoretical basis for cultivated area division, rational distribution, and molecular breeding for soybean varieties. In this study, genome-wide association...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4930185/ https://www.ncbi.nlm.nih.gov/pubmed/27367048 http://dx.doi.org/10.1371/journal.pone.0158602 |
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author | Liu, Zhangxiong Li, Huihui Fan, Xuhong Huang, Wen Yang, Jiyu Li, Candong Wen, Zixiang Li, Yinghui Guan, Rongxia Guo, Yong Chang, Ruzhen Wang, Dechun Wang, Shuming Qiu, Li-Juan |
author_facet | Liu, Zhangxiong Li, Huihui Fan, Xuhong Huang, Wen Yang, Jiyu Li, Candong Wen, Zixiang Li, Yinghui Guan, Rongxia Guo, Yong Chang, Ruzhen Wang, Dechun Wang, Shuming Qiu, Li-Juan |
author_sort | Liu, Zhangxiong |
collection | PubMed |
description | The growth period traits are important traits that affect soybean yield. The insights into the genetic basis of growth period traits can provide theoretical basis for cultivated area division, rational distribution, and molecular breeding for soybean varieties. In this study, genome-wide association analysis (GWAS) was exploited to detect the quantitative trait loci (QTL) for number of days to flowering (ETF), number of days from flowering to maturity (FTM), and number of days to maturity (ETM) using 4032 single nucleotide polymorphism (SNP) markers with 146 cultivars mainly from Northeast China. Results showed that abundant phenotypic variation was presented in the population, and variation explained by genotype, environment, and genotype by environment interaction were all significant for each trait. The whole accessions could be clearly clustered into two subpopulations based on their genetic relatedness, and accessions in the same group were almost from the same province. GWAS based on the unified mixed model identified 19 significant SNPs distributed on 11 soybean chromosomes, 12 of which can be consistently detected in both planting densities, and 5 of which were pleotropic QTL. Of 19 SNPs, 7 SNPs located in or close to the previously reported QTL or genes controlling growth period traits. The QTL identified with high resolution in this study will enrich our genomic understanding of growth period traits and could then be explored as genetic markers to be used in genomic applications in soybean breeding. |
format | Online Article Text |
id | pubmed-4930185 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-49301852016-07-18 Phenotypic Characterization and Genetic Dissection of Growth Period Traits in Soybean (Glycine max) Using Association Mapping Liu, Zhangxiong Li, Huihui Fan, Xuhong Huang, Wen Yang, Jiyu Li, Candong Wen, Zixiang Li, Yinghui Guan, Rongxia Guo, Yong Chang, Ruzhen Wang, Dechun Wang, Shuming Qiu, Li-Juan PLoS One Research Article The growth period traits are important traits that affect soybean yield. The insights into the genetic basis of growth period traits can provide theoretical basis for cultivated area division, rational distribution, and molecular breeding for soybean varieties. In this study, genome-wide association analysis (GWAS) was exploited to detect the quantitative trait loci (QTL) for number of days to flowering (ETF), number of days from flowering to maturity (FTM), and number of days to maturity (ETM) using 4032 single nucleotide polymorphism (SNP) markers with 146 cultivars mainly from Northeast China. Results showed that abundant phenotypic variation was presented in the population, and variation explained by genotype, environment, and genotype by environment interaction were all significant for each trait. The whole accessions could be clearly clustered into two subpopulations based on their genetic relatedness, and accessions in the same group were almost from the same province. GWAS based on the unified mixed model identified 19 significant SNPs distributed on 11 soybean chromosomes, 12 of which can be consistently detected in both planting densities, and 5 of which were pleotropic QTL. Of 19 SNPs, 7 SNPs located in or close to the previously reported QTL or genes controlling growth period traits. The QTL identified with high resolution in this study will enrich our genomic understanding of growth period traits and could then be explored as genetic markers to be used in genomic applications in soybean breeding. Public Library of Science 2016-07-01 /pmc/articles/PMC4930185/ /pubmed/27367048 http://dx.doi.org/10.1371/journal.pone.0158602 Text en © 2016 Liu et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Liu, Zhangxiong Li, Huihui Fan, Xuhong Huang, Wen Yang, Jiyu Li, Candong Wen, Zixiang Li, Yinghui Guan, Rongxia Guo, Yong Chang, Ruzhen Wang, Dechun Wang, Shuming Qiu, Li-Juan Phenotypic Characterization and Genetic Dissection of Growth Period Traits in Soybean (Glycine max) Using Association Mapping |
title | Phenotypic Characterization and Genetic Dissection of Growth Period Traits in Soybean (Glycine max) Using Association Mapping |
title_full | Phenotypic Characterization and Genetic Dissection of Growth Period Traits in Soybean (Glycine max) Using Association Mapping |
title_fullStr | Phenotypic Characterization and Genetic Dissection of Growth Period Traits in Soybean (Glycine max) Using Association Mapping |
title_full_unstemmed | Phenotypic Characterization and Genetic Dissection of Growth Period Traits in Soybean (Glycine max) Using Association Mapping |
title_short | Phenotypic Characterization and Genetic Dissection of Growth Period Traits in Soybean (Glycine max) Using Association Mapping |
title_sort | phenotypic characterization and genetic dissection of growth period traits in soybean (glycine max) using association mapping |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4930185/ https://www.ncbi.nlm.nih.gov/pubmed/27367048 http://dx.doi.org/10.1371/journal.pone.0158602 |
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