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Quantitative trait loci analysis and genome-wide comparison for silique related traits in Brassica napus
BACKGROUND: Yield of rapeseed is determined by three components: silique number, seed number per silique and thousand seed weight. Seed number per silique and thousand seed weight are influenced by silique length, seed density, silique breadth, silique thickness and silique volume. Some QTLs for sil...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4802616/ https://www.ncbi.nlm.nih.gov/pubmed/27000872 http://dx.doi.org/10.1186/s12870-016-0759-7 |
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author | Wang, Xiaodong Chen, Li Wang, Aina Wang, Hao Tian, Jianhua Zhao, Xiaoping Chao, Hongbo Zhao, Yajun Zhao, Weiguo Xiang, Jun Gan, Jianping Li, Maoteng |
author_facet | Wang, Xiaodong Chen, Li Wang, Aina Wang, Hao Tian, Jianhua Zhao, Xiaoping Chao, Hongbo Zhao, Yajun Zhao, Weiguo Xiang, Jun Gan, Jianping Li, Maoteng |
author_sort | Wang, Xiaodong |
collection | PubMed |
description | BACKGROUND: Yield of rapeseed is determined by three components: silique number, seed number per silique and thousand seed weight. Seed number per silique and thousand seed weight are influenced by silique length, seed density, silique breadth, silique thickness and silique volume. Some QTLs for silique traits have been reported in B. napus, however, no studies have focused on the six agronomic traits (seed number per silique, silique length, silique breadth, silique thickness, seed density and silique volume) simultaneously, and the genetic determinism of such complex traits have not been fully elucidated. RESULTS: In this study, the six silique traits were evaluated using 348 lines of a doubled haploid population, the KN population. The results showed that 2, 4, 1, 1 and 2 QTLs explaining > 10 % of phenotypic variation were obtained for silique length, silique breadth, silique thickness, seed number per silique and silique volume, respectively. Notably, three major effect QTLs (cqSB-C6-1, cqSB-C6-2 and cqSV-C6-3) were identified in at least three environments, and 17 unique QTLs controlling at least two traits were obtained. A high-density consensus map containing 1225 markers was constructed for QTL comparison by combining the KN map with other five published maps. The comparative results revealed that 14, 13 and 11 QTLs for silique breadth, silique thickness and silique volume might be the potential new QTLs because few QTLs for these traits were reported in B. napus. In addition, potential new QTLs for silique length (11), seed number per silique (6) and seed density (5) were also identified. Twenty-five candidate genes underlying 27 QTLs for silique related traits were obtained. CONCLUSIONS: This study constructed QTL analysis in B. napus, and obtained 60 consensus QTLs for six silique related traits. The potential new QTLs will enhance our understanding of the genetic control of silique traits, and the stable QTLs provided the targets for improving seed yield in future. These findings provided comprehensive insights into the genetic network affecting silique traits at QTL level in B. napus. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12870-016-0759-7) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4802616 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-48026162016-03-22 Quantitative trait loci analysis and genome-wide comparison for silique related traits in Brassica napus Wang, Xiaodong Chen, Li Wang, Aina Wang, Hao Tian, Jianhua Zhao, Xiaoping Chao, Hongbo Zhao, Yajun Zhao, Weiguo Xiang, Jun Gan, Jianping Li, Maoteng BMC Plant Biol Research Article BACKGROUND: Yield of rapeseed is determined by three components: silique number, seed number per silique and thousand seed weight. Seed number per silique and thousand seed weight are influenced by silique length, seed density, silique breadth, silique thickness and silique volume. Some QTLs for silique traits have been reported in B. napus, however, no studies have focused on the six agronomic traits (seed number per silique, silique length, silique breadth, silique thickness, seed density and silique volume) simultaneously, and the genetic determinism of such complex traits have not been fully elucidated. RESULTS: In this study, the six silique traits were evaluated using 348 lines of a doubled haploid population, the KN population. The results showed that 2, 4, 1, 1 and 2 QTLs explaining > 10 % of phenotypic variation were obtained for silique length, silique breadth, silique thickness, seed number per silique and silique volume, respectively. Notably, three major effect QTLs (cqSB-C6-1, cqSB-C6-2 and cqSV-C6-3) were identified in at least three environments, and 17 unique QTLs controlling at least two traits were obtained. A high-density consensus map containing 1225 markers was constructed for QTL comparison by combining the KN map with other five published maps. The comparative results revealed that 14, 13 and 11 QTLs for silique breadth, silique thickness and silique volume might be the potential new QTLs because few QTLs for these traits were reported in B. napus. In addition, potential new QTLs for silique length (11), seed number per silique (6) and seed density (5) were also identified. Twenty-five candidate genes underlying 27 QTLs for silique related traits were obtained. CONCLUSIONS: This study constructed QTL analysis in B. napus, and obtained 60 consensus QTLs for six silique related traits. The potential new QTLs will enhance our understanding of the genetic control of silique traits, and the stable QTLs provided the targets for improving seed yield in future. These findings provided comprehensive insights into the genetic network affecting silique traits at QTL level in B. napus. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12870-016-0759-7) contains supplementary material, which is available to authorized users. BioMed Central 2016-03-22 /pmc/articles/PMC4802616/ /pubmed/27000872 http://dx.doi.org/10.1186/s12870-016-0759-7 Text en © Wang et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Wang, Xiaodong Chen, Li Wang, Aina Wang, Hao Tian, Jianhua Zhao, Xiaoping Chao, Hongbo Zhao, Yajun Zhao, Weiguo Xiang, Jun Gan, Jianping Li, Maoteng Quantitative trait loci analysis and genome-wide comparison for silique related traits in Brassica napus |
title | Quantitative trait loci analysis and genome-wide comparison for silique related traits in Brassica napus |
title_full | Quantitative trait loci analysis and genome-wide comparison for silique related traits in Brassica napus |
title_fullStr | Quantitative trait loci analysis and genome-wide comparison for silique related traits in Brassica napus |
title_full_unstemmed | Quantitative trait loci analysis and genome-wide comparison for silique related traits in Brassica napus |
title_short | Quantitative trait loci analysis and genome-wide comparison for silique related traits in Brassica napus |
title_sort | quantitative trait loci analysis and genome-wide comparison for silique related traits in brassica napus |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4802616/ https://www.ncbi.nlm.nih.gov/pubmed/27000872 http://dx.doi.org/10.1186/s12870-016-0759-7 |
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