Cargando…

Comprehensive analysis of RNA-seq data reveals the complexity of the transcriptome in Brassica rapa

BACKGROUND: The species Brassica rapa (2n=20, AA) is an important vegetable and oilseed crop, and serves as an excellent model for genomic and evolutionary research in Brassica species. With the availability of whole genome sequence of B. rapa, it is essential to further determine the activity of al...

Descripción completa

Detalles Bibliográficos
Autores principales: Tong, Chaobo, Wang, Xiaowu, Yu, Jingyin, Wu, Jian, Li, Wanshun, Huang, Junyan, Dong, Caihua, Hua, Wei, Liu, Shengyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3853194/
https://www.ncbi.nlm.nih.gov/pubmed/24098974
http://dx.doi.org/10.1186/1471-2164-14-689
_version_ 1782478795099340800
author Tong, Chaobo
Wang, Xiaowu
Yu, Jingyin
Wu, Jian
Li, Wanshun
Huang, Junyan
Dong, Caihua
Hua, Wei
Liu, Shengyi
author_facet Tong, Chaobo
Wang, Xiaowu
Yu, Jingyin
Wu, Jian
Li, Wanshun
Huang, Junyan
Dong, Caihua
Hua, Wei
Liu, Shengyi
author_sort Tong, Chaobo
collection PubMed
description BACKGROUND: The species Brassica rapa (2n=20, AA) is an important vegetable and oilseed crop, and serves as an excellent model for genomic and evolutionary research in Brassica species. With the availability of whole genome sequence of B. rapa, it is essential to further determine the activity of all functional elements of the B. rapa genome and explore the transcriptome on a genome-wide scale. Here, RNA-seq data was employed to provide a genome-wide transcriptional landscape and characterization of the annotated and novel transcripts and alternative splicing events across tissues. RESULTS: RNA-seq reads were generated using the Illumina platform from six different tissues (root, stem, leaf, flower, silique and callus) of the B. rapa accession Chiifu-401-42, the same line used for whole genome sequencing. First, these data detected the widespread transcription of the B. rapa genome, leading to the identification of numerous novel transcripts and definition of 5'/3' UTRs of known genes. Second, 78.8% of the total annotated genes were detected as expressed and 45.8% were constitutively expressed across all tissues. We further defined several groups of genes: housekeeping genes, tissue-specific expressed genes and co-expressed genes across tissues, which will serve as a valuable repository for future crop functional genomics research. Third, alternative splicing (AS) is estimated to occur in more than 29.4% of intron-containing B. rapa genes, and 65% of them were commonly detected in more than two tissues. Interestingly, genes with high rate of AS were over-represented in GO categories relating to transcriptional regulation and signal transduction, suggesting potential importance of AS for playing regulatory role in these genes. Further, we observed that intron retention (IR) is predominant in the AS events and seems to preferentially occurred in genes with short introns. CONCLUSIONS: The high-resolution RNA-seq analysis provides a global transcriptional landscape as a complement to the B. rapa genome sequence, which will advance our understanding of the dynamics and complexity of the B. rapa transcriptome. The atlas of gene expression in different tissues will be useful for accelerating research on functional genomics and genome evolution in Brassica species.
format Online
Article
Text
id pubmed-3853194
institution National Center for Biotechnology Information
language English
publishDate 2013
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-38531942013-12-18 Comprehensive analysis of RNA-seq data reveals the complexity of the transcriptome in Brassica rapa Tong, Chaobo Wang, Xiaowu Yu, Jingyin Wu, Jian Li, Wanshun Huang, Junyan Dong, Caihua Hua, Wei Liu, Shengyi BMC Genomics Research Article BACKGROUND: The species Brassica rapa (2n=20, AA) is an important vegetable and oilseed crop, and serves as an excellent model for genomic and evolutionary research in Brassica species. With the availability of whole genome sequence of B. rapa, it is essential to further determine the activity of all functional elements of the B. rapa genome and explore the transcriptome on a genome-wide scale. Here, RNA-seq data was employed to provide a genome-wide transcriptional landscape and characterization of the annotated and novel transcripts and alternative splicing events across tissues. RESULTS: RNA-seq reads were generated using the Illumina platform from six different tissues (root, stem, leaf, flower, silique and callus) of the B. rapa accession Chiifu-401-42, the same line used for whole genome sequencing. First, these data detected the widespread transcription of the B. rapa genome, leading to the identification of numerous novel transcripts and definition of 5'/3' UTRs of known genes. Second, 78.8% of the total annotated genes were detected as expressed and 45.8% were constitutively expressed across all tissues. We further defined several groups of genes: housekeeping genes, tissue-specific expressed genes and co-expressed genes across tissues, which will serve as a valuable repository for future crop functional genomics research. Third, alternative splicing (AS) is estimated to occur in more than 29.4% of intron-containing B. rapa genes, and 65% of them were commonly detected in more than two tissues. Interestingly, genes with high rate of AS were over-represented in GO categories relating to transcriptional regulation and signal transduction, suggesting potential importance of AS for playing regulatory role in these genes. Further, we observed that intron retention (IR) is predominant in the AS events and seems to preferentially occurred in genes with short introns. CONCLUSIONS: The high-resolution RNA-seq analysis provides a global transcriptional landscape as a complement to the B. rapa genome sequence, which will advance our understanding of the dynamics and complexity of the B. rapa transcriptome. The atlas of gene expression in different tissues will be useful for accelerating research on functional genomics and genome evolution in Brassica species. BioMed Central 2013-10-07 /pmc/articles/PMC3853194/ /pubmed/24098974 http://dx.doi.org/10.1186/1471-2164-14-689 Text en Copyright © 2013 Tong et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Tong, Chaobo
Wang, Xiaowu
Yu, Jingyin
Wu, Jian
Li, Wanshun
Huang, Junyan
Dong, Caihua
Hua, Wei
Liu, Shengyi
Comprehensive analysis of RNA-seq data reveals the complexity of the transcriptome in Brassica rapa
title Comprehensive analysis of RNA-seq data reveals the complexity of the transcriptome in Brassica rapa
title_full Comprehensive analysis of RNA-seq data reveals the complexity of the transcriptome in Brassica rapa
title_fullStr Comprehensive analysis of RNA-seq data reveals the complexity of the transcriptome in Brassica rapa
title_full_unstemmed Comprehensive analysis of RNA-seq data reveals the complexity of the transcriptome in Brassica rapa
title_short Comprehensive analysis of RNA-seq data reveals the complexity of the transcriptome in Brassica rapa
title_sort comprehensive analysis of rna-seq data reveals the complexity of the transcriptome in brassica rapa
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3853194/
https://www.ncbi.nlm.nih.gov/pubmed/24098974
http://dx.doi.org/10.1186/1471-2164-14-689
work_keys_str_mv AT tongchaobo comprehensiveanalysisofrnaseqdatarevealsthecomplexityofthetranscriptomeinbrassicarapa
AT wangxiaowu comprehensiveanalysisofrnaseqdatarevealsthecomplexityofthetranscriptomeinbrassicarapa
AT yujingyin comprehensiveanalysisofrnaseqdatarevealsthecomplexityofthetranscriptomeinbrassicarapa
AT wujian comprehensiveanalysisofrnaseqdatarevealsthecomplexityofthetranscriptomeinbrassicarapa
AT liwanshun comprehensiveanalysisofrnaseqdatarevealsthecomplexityofthetranscriptomeinbrassicarapa
AT huangjunyan comprehensiveanalysisofrnaseqdatarevealsthecomplexityofthetranscriptomeinbrassicarapa
AT dongcaihua comprehensiveanalysisofrnaseqdatarevealsthecomplexityofthetranscriptomeinbrassicarapa
AT huawei comprehensiveanalysisofrnaseqdatarevealsthecomplexityofthetranscriptomeinbrassicarapa
AT liushengyi comprehensiveanalysisofrnaseqdatarevealsthecomplexityofthetranscriptomeinbrassicarapa