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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
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.
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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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