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Transcriptome analysis of Brassica napus pod using RNA-Seq and identification of lipid-related candidate genes

BACKGROUND: Brassica napus is an important oilseed crop. Dissection of the genetic architecture underlying oil-related biological processes will greatly facilitates the genetic improvement of rapeseed. The differential gene expression during pod development offers a snapshot on the genes responsible...

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Autores principales: Xu, Hai-Ming, Kong, Xiang-Dong, Chen, Fei, Huang, Ji-Xiang, Lou, Xiang-Yang, Zhao, Jian-Yi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4619414/
https://www.ncbi.nlm.nih.gov/pubmed/26499887
http://dx.doi.org/10.1186/s12864-015-2062-7
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author Xu, Hai-Ming
Kong, Xiang-Dong
Chen, Fei
Huang, Ji-Xiang
Lou, Xiang-Yang
Zhao, Jian-Yi
author_facet Xu, Hai-Ming
Kong, Xiang-Dong
Chen, Fei
Huang, Ji-Xiang
Lou, Xiang-Yang
Zhao, Jian-Yi
author_sort Xu, Hai-Ming
collection PubMed
description BACKGROUND: Brassica napus is an important oilseed crop. Dissection of the genetic architecture underlying oil-related biological processes will greatly facilitates the genetic improvement of rapeseed. The differential gene expression during pod development offers a snapshot on the genes responsible for oil accumulation in. To identify candidate genes in the linkage peaks reported previously, we used RNA sequencing (RNA-Seq) technology to analyze the pod transcriptomes of German cultivar Sollux and Chinese inbred line Gaoyou. METHODS: The RNA samples were collected for RNA-Seq at 5-7, 15-17 and 25-27 days after flowering (DAF). Bioinformatics analysis was performed to investigate differentially expressed genes (DEGs). Gene annotation analysis was integrated with QTL mapping and Brassica napus pod transcriptome profiling to detect potential candidate genes in oilseed. RESULTS: Four hundred sixty five and two thousand, one hundred fourteen candidate DEGs were identified, respectively, between two varieties at the same stages and across different periods of each variety. Then, 33 DEGs between Sollux and Gaoyou were identified as the candidate genes affecting seed oil content by combining those DEGs with the quantitative trait locus (QTL) mapping results, of which, one was found to be homologous to Arabidopsis thaliana lipid-related genes. DISCUSSION: Intervarietal DEGs of lipid pathways in QTL regions represent important candidate genes for oil-related traits. Integrated analysis of transcriptome profiling, QTL mapping and comparative genomics with other relative species leads to efficient identification of most plausible functional genes underlying oil-content related characters, offering valuable resources for bettering breeding program of Brassica napus. CONCLUSIONS: This study provided a comprehensive overview on the pod transcriptomes of two varieties with different oil-contents at the three developmental stages. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-015-2062-7) contains supplementary material, which is available to authorized users.
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spelling pubmed-46194142015-10-26 Transcriptome analysis of Brassica napus pod using RNA-Seq and identification of lipid-related candidate genes Xu, Hai-Ming Kong, Xiang-Dong Chen, Fei Huang, Ji-Xiang Lou, Xiang-Yang Zhao, Jian-Yi BMC Genomics Research Article BACKGROUND: Brassica napus is an important oilseed crop. Dissection of the genetic architecture underlying oil-related biological processes will greatly facilitates the genetic improvement of rapeseed. The differential gene expression during pod development offers a snapshot on the genes responsible for oil accumulation in. To identify candidate genes in the linkage peaks reported previously, we used RNA sequencing (RNA-Seq) technology to analyze the pod transcriptomes of German cultivar Sollux and Chinese inbred line Gaoyou. METHODS: The RNA samples were collected for RNA-Seq at 5-7, 15-17 and 25-27 days after flowering (DAF). Bioinformatics analysis was performed to investigate differentially expressed genes (DEGs). Gene annotation analysis was integrated with QTL mapping and Brassica napus pod transcriptome profiling to detect potential candidate genes in oilseed. RESULTS: Four hundred sixty five and two thousand, one hundred fourteen candidate DEGs were identified, respectively, between two varieties at the same stages and across different periods of each variety. Then, 33 DEGs between Sollux and Gaoyou were identified as the candidate genes affecting seed oil content by combining those DEGs with the quantitative trait locus (QTL) mapping results, of which, one was found to be homologous to Arabidopsis thaliana lipid-related genes. DISCUSSION: Intervarietal DEGs of lipid pathways in QTL regions represent important candidate genes for oil-related traits. Integrated analysis of transcriptome profiling, QTL mapping and comparative genomics with other relative species leads to efficient identification of most plausible functional genes underlying oil-content related characters, offering valuable resources for bettering breeding program of Brassica napus. CONCLUSIONS: This study provided a comprehensive overview on the pod transcriptomes of two varieties with different oil-contents at the three developmental stages. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-015-2062-7) contains supplementary material, which is available to authorized users. BioMed Central 2015-10-24 /pmc/articles/PMC4619414/ /pubmed/26499887 http://dx.doi.org/10.1186/s12864-015-2062-7 Text en © Xu et al. 2015 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
Xu, Hai-Ming
Kong, Xiang-Dong
Chen, Fei
Huang, Ji-Xiang
Lou, Xiang-Yang
Zhao, Jian-Yi
Transcriptome analysis of Brassica napus pod using RNA-Seq and identification of lipid-related candidate genes
title Transcriptome analysis of Brassica napus pod using RNA-Seq and identification of lipid-related candidate genes
title_full Transcriptome analysis of Brassica napus pod using RNA-Seq and identification of lipid-related candidate genes
title_fullStr Transcriptome analysis of Brassica napus pod using RNA-Seq and identification of lipid-related candidate genes
title_full_unstemmed Transcriptome analysis of Brassica napus pod using RNA-Seq and identification of lipid-related candidate genes
title_short Transcriptome analysis of Brassica napus pod using RNA-Seq and identification of lipid-related candidate genes
title_sort transcriptome analysis of brassica napus pod using rna-seq and identification of lipid-related candidate genes
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4619414/
https://www.ncbi.nlm.nih.gov/pubmed/26499887
http://dx.doi.org/10.1186/s12864-015-2062-7
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