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Digital gene expression analysis of gene expression differences within Brassica diploids and allopolyploids
BACKGROUND: Brassica includes many successfully cultivated crop species of polyploid origin, either by ancestral genome triplication or by hybridization between two diploid progenitors, displaying complex repetitive sequences and transposons. The U’s triangle, which consists of three diploids and th...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4312607/ https://www.ncbi.nlm.nih.gov/pubmed/25623840 http://dx.doi.org/10.1186/s12870-015-0417-5 |
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author | Jiang, Jinjin Wang, Yue Zhu, Bao Fang, Tingting Fang, Yujie Wang, Youping |
author_facet | Jiang, Jinjin Wang, Yue Zhu, Bao Fang, Tingting Fang, Yujie Wang, Youping |
author_sort | Jiang, Jinjin |
collection | PubMed |
description | BACKGROUND: Brassica includes many successfully cultivated crop species of polyploid origin, either by ancestral genome triplication or by hybridization between two diploid progenitors, displaying complex repetitive sequences and transposons. The U’s triangle, which consists of three diploids and three amphidiploids, is optimal for the analysis of complicated genomes after polyploidization. Next-generation sequencing enables the transcriptome profiling of polyploids on a global scale. RESULTS: We examined the gene expression patterns of three diploids (Brassica rapa, B. nigra, and B. oleracea) and three amphidiploids (B. napus, B. juncea, and B. carinata) via digital gene expression analysis. In total, the libraries generated between 5.7 and 6.1 million raw reads, and the clean tags of each library were mapped to 18547–21995 genes of B. rapa genome. The unambiguous tag-mapped genes in the libraries were compared. Moreover, the majority of differentially expressed genes (DEGs) were explored among diploids as well as between diploids and amphidiploids. Gene ontological analysis was performed to functionally categorize these DEGs into different classes. The Kyoto Encyclopedia of Genes and Genomes analysis was performed to assign these DEGs into approximately 120 pathways, among which the metabolic pathway, biosynthesis of secondary metabolites, and peroxisomal pathway were enriched. The non-additive genes in Brassica amphidiploids were analyzed, and the results indicated that orthologous genes in polyploids are frequently expressed in a non-additive pattern. Methyltransferase genes showed differential expression pattern in Brassica species. CONCLUSION: Our results provided an understanding of the transcriptome complexity of natural Brassica species. The gene expression changes in diploids and allopolyploids may help elucidate the morphological and physiological differences among Brassica species. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12870-015-0417-5) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4312607 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-43126072015-02-02 Digital gene expression analysis of gene expression differences within Brassica diploids and allopolyploids Jiang, Jinjin Wang, Yue Zhu, Bao Fang, Tingting Fang, Yujie Wang, Youping BMC Plant Biol Research Article BACKGROUND: Brassica includes many successfully cultivated crop species of polyploid origin, either by ancestral genome triplication or by hybridization between two diploid progenitors, displaying complex repetitive sequences and transposons. The U’s triangle, which consists of three diploids and three amphidiploids, is optimal for the analysis of complicated genomes after polyploidization. Next-generation sequencing enables the transcriptome profiling of polyploids on a global scale. RESULTS: We examined the gene expression patterns of three diploids (Brassica rapa, B. nigra, and B. oleracea) and three amphidiploids (B. napus, B. juncea, and B. carinata) via digital gene expression analysis. In total, the libraries generated between 5.7 and 6.1 million raw reads, and the clean tags of each library were mapped to 18547–21995 genes of B. rapa genome. The unambiguous tag-mapped genes in the libraries were compared. Moreover, the majority of differentially expressed genes (DEGs) were explored among diploids as well as between diploids and amphidiploids. Gene ontological analysis was performed to functionally categorize these DEGs into different classes. The Kyoto Encyclopedia of Genes and Genomes analysis was performed to assign these DEGs into approximately 120 pathways, among which the metabolic pathway, biosynthesis of secondary metabolites, and peroxisomal pathway were enriched. The non-additive genes in Brassica amphidiploids were analyzed, and the results indicated that orthologous genes in polyploids are frequently expressed in a non-additive pattern. Methyltransferase genes showed differential expression pattern in Brassica species. CONCLUSION: Our results provided an understanding of the transcriptome complexity of natural Brassica species. The gene expression changes in diploids and allopolyploids may help elucidate the morphological and physiological differences among Brassica species. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12870-015-0417-5) contains supplementary material, which is available to authorized users. BioMed Central 2015-01-27 /pmc/articles/PMC4312607/ /pubmed/25623840 http://dx.doi.org/10.1186/s12870-015-0417-5 Text en © Jiang et al.; licensee BioMed Central. 2015 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 work is properly credited. 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 Jiang, Jinjin Wang, Yue Zhu, Bao Fang, Tingting Fang, Yujie Wang, Youping Digital gene expression analysis of gene expression differences within Brassica diploids and allopolyploids |
title | Digital gene expression analysis of gene expression differences within Brassica diploids and allopolyploids |
title_full | Digital gene expression analysis of gene expression differences within Brassica diploids and allopolyploids |
title_fullStr | Digital gene expression analysis of gene expression differences within Brassica diploids and allopolyploids |
title_full_unstemmed | Digital gene expression analysis of gene expression differences within Brassica diploids and allopolyploids |
title_short | Digital gene expression analysis of gene expression differences within Brassica diploids and allopolyploids |
title_sort | digital gene expression analysis of gene expression differences within brassica diploids and allopolyploids |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4312607/ https://www.ncbi.nlm.nih.gov/pubmed/25623840 http://dx.doi.org/10.1186/s12870-015-0417-5 |
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