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New insights into Arabidopsis transcriptome complexity revealed by direct sequencing of native RNAs
Arabidopsis thaliana transcriptomes have been extensively studied and characterized under different conditions. However, most of the current ‘RNA-sequencing’ technologies produce a relatively short read length and demand a reverse-transcription step, preventing effective characterization of transcri...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7430643/ https://www.ncbi.nlm.nih.gov/pubmed/32652016 http://dx.doi.org/10.1093/nar/gkaa588 |
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author | Zhang, Shoudong Li, Runsheng Zhang, Li Chen, Shengjie Xie, Min Yang, Liu Xia, Yiji Foyer, Christine H Zhao, Zhongying Lam, Hon-Ming |
author_facet | Zhang, Shoudong Li, Runsheng Zhang, Li Chen, Shengjie Xie, Min Yang, Liu Xia, Yiji Foyer, Christine H Zhao, Zhongying Lam, Hon-Ming |
author_sort | Zhang, Shoudong |
collection | PubMed |
description | Arabidopsis thaliana transcriptomes have been extensively studied and characterized under different conditions. However, most of the current ‘RNA-sequencing’ technologies produce a relatively short read length and demand a reverse-transcription step, preventing effective characterization of transcriptome complexity. Here, we performed Direct RNA Sequencing (DRS) using the latest Oxford Nanopore Technology (ONT) with exceptional read length. We demonstrate that the complexity of the A. thaliana transcriptomes has been substantially under-estimated. The ONT direct RNA sequencing identified novel transcript isoforms at both the vegetative (14-day old seedlings, stage 1.04) and reproductive stages (stage 6.00–6.10) of development. Using in-house software called TrackCluster, we determined alternative transcription initiation (ATI), alternative polyadenylation (APA), alternative splicing (AS), and fusion transcripts. More than 38 500 novel transcript isoforms were identified, including six categories of fusion-transcripts that may result from differential RNA processing mechanisms. Aided by the Tombo algorithm, we found an enrichment of m5C modifications in the mobile mRNAs, consistent with a recent finding that m5C modification in mRNAs is crucial for their long-distance movement. In summary, ONT DRS offers an advantage in the identification and functional characterization of novel RNA isoforms and RNA base modifications, significantly improving annotation of the A. thaliana genome. |
format | Online Article Text |
id | pubmed-7430643 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-74306432020-08-19 New insights into Arabidopsis transcriptome complexity revealed by direct sequencing of native RNAs Zhang, Shoudong Li, Runsheng Zhang, Li Chen, Shengjie Xie, Min Yang, Liu Xia, Yiji Foyer, Christine H Zhao, Zhongying Lam, Hon-Ming Nucleic Acids Res Data Resources and Analyses Arabidopsis thaliana transcriptomes have been extensively studied and characterized under different conditions. However, most of the current ‘RNA-sequencing’ technologies produce a relatively short read length and demand a reverse-transcription step, preventing effective characterization of transcriptome complexity. Here, we performed Direct RNA Sequencing (DRS) using the latest Oxford Nanopore Technology (ONT) with exceptional read length. We demonstrate that the complexity of the A. thaliana transcriptomes has been substantially under-estimated. The ONT direct RNA sequencing identified novel transcript isoforms at both the vegetative (14-day old seedlings, stage 1.04) and reproductive stages (stage 6.00–6.10) of development. Using in-house software called TrackCluster, we determined alternative transcription initiation (ATI), alternative polyadenylation (APA), alternative splicing (AS), and fusion transcripts. More than 38 500 novel transcript isoforms were identified, including six categories of fusion-transcripts that may result from differential RNA processing mechanisms. Aided by the Tombo algorithm, we found an enrichment of m5C modifications in the mobile mRNAs, consistent with a recent finding that m5C modification in mRNAs is crucial for their long-distance movement. In summary, ONT DRS offers an advantage in the identification and functional characterization of novel RNA isoforms and RNA base modifications, significantly improving annotation of the A. thaliana genome. Oxford University Press 2020-07-11 /pmc/articles/PMC7430643/ /pubmed/32652016 http://dx.doi.org/10.1093/nar/gkaa588 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research. 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 reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Data Resources and Analyses Zhang, Shoudong Li, Runsheng Zhang, Li Chen, Shengjie Xie, Min Yang, Liu Xia, Yiji Foyer, Christine H Zhao, Zhongying Lam, Hon-Ming New insights into Arabidopsis transcriptome complexity revealed by direct sequencing of native RNAs |
title | New insights into Arabidopsis transcriptome complexity revealed by direct sequencing of native RNAs |
title_full | New insights into Arabidopsis transcriptome complexity revealed by direct sequencing of native RNAs |
title_fullStr | New insights into Arabidopsis transcriptome complexity revealed by direct sequencing of native RNAs |
title_full_unstemmed | New insights into Arabidopsis transcriptome complexity revealed by direct sequencing of native RNAs |
title_short | New insights into Arabidopsis transcriptome complexity revealed by direct sequencing of native RNAs |
title_sort | new insights into arabidopsis transcriptome complexity revealed by direct sequencing of native rnas |
topic | Data Resources and Analyses |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7430643/ https://www.ncbi.nlm.nih.gov/pubmed/32652016 http://dx.doi.org/10.1093/nar/gkaa588 |
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