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Transcriptome Profiling Using Single-Molecule Direct RNA Sequencing Approach for In-depth Understanding of Genes in Secondary Metabolism Pathways of Camellia sinensis
Characteristic secondary metabolites, including flavonoids, theanine and caffeine, are important components of Camellia sinensis, and their biosynthesis has attracted widespread interest. Previous studies on the biosynthesis of these major secondary metabolites using next-generation sequencing techn...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5504172/ https://www.ncbi.nlm.nih.gov/pubmed/28744294 http://dx.doi.org/10.3389/fpls.2017.01205 |
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author | Xu, Qingshan Zhu, Junyan Zhao, Shiqi Hou, Yan Li, Fangdong Tai, Yuling Wan, Xiaochun Wei, ChaoLing |
author_facet | Xu, Qingshan Zhu, Junyan Zhao, Shiqi Hou, Yan Li, Fangdong Tai, Yuling Wan, Xiaochun Wei, ChaoLing |
author_sort | Xu, Qingshan |
collection | PubMed |
description | Characteristic secondary metabolites, including flavonoids, theanine and caffeine, are important components of Camellia sinensis, and their biosynthesis has attracted widespread interest. Previous studies on the biosynthesis of these major secondary metabolites using next-generation sequencing technologies limited the accurately prediction of full-length (FL) splice isoforms. Herein, we applied single-molecule sequencing to pooled tea plant tissues, to provide a more complete transcriptome of C. sinensis. Moreover, we identified 94 FL transcripts and four alternative splicing events for enzyme-coding genes involved in the biosynthesis of flavonoids, theanine and caffeine. According to the comparison between long-read isoforms and assemble transcripts, we improved the quality and accuracy of genes sequenced by short-read next-generation sequencing technology. The resulting FL transcripts, together with the improved assembled transcripts and identified alternative splicing events, enhance our understanding of genes involved in the biosynthesis of characteristic secondary metabolites in C. sinensis. |
format | Online Article Text |
id | pubmed-5504172 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-55041722017-07-25 Transcriptome Profiling Using Single-Molecule Direct RNA Sequencing Approach for In-depth Understanding of Genes in Secondary Metabolism Pathways of Camellia sinensis Xu, Qingshan Zhu, Junyan Zhao, Shiqi Hou, Yan Li, Fangdong Tai, Yuling Wan, Xiaochun Wei, ChaoLing Front Plant Sci Plant Science Characteristic secondary metabolites, including flavonoids, theanine and caffeine, are important components of Camellia sinensis, and their biosynthesis has attracted widespread interest. Previous studies on the biosynthesis of these major secondary metabolites using next-generation sequencing technologies limited the accurately prediction of full-length (FL) splice isoforms. Herein, we applied single-molecule sequencing to pooled tea plant tissues, to provide a more complete transcriptome of C. sinensis. Moreover, we identified 94 FL transcripts and four alternative splicing events for enzyme-coding genes involved in the biosynthesis of flavonoids, theanine and caffeine. According to the comparison between long-read isoforms and assemble transcripts, we improved the quality and accuracy of genes sequenced by short-read next-generation sequencing technology. The resulting FL transcripts, together with the improved assembled transcripts and identified alternative splicing events, enhance our understanding of genes involved in the biosynthesis of characteristic secondary metabolites in C. sinensis. Frontiers Media S.A. 2017-07-11 /pmc/articles/PMC5504172/ /pubmed/28744294 http://dx.doi.org/10.3389/fpls.2017.01205 Text en Copyright © 2017 Xu, Zhu, Zhao, Hou, Li, Tai, Wan and Wei. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Plant Science Xu, Qingshan Zhu, Junyan Zhao, Shiqi Hou, Yan Li, Fangdong Tai, Yuling Wan, Xiaochun Wei, ChaoLing Transcriptome Profiling Using Single-Molecule Direct RNA Sequencing Approach for In-depth Understanding of Genes in Secondary Metabolism Pathways of Camellia sinensis |
title | Transcriptome Profiling Using Single-Molecule Direct RNA Sequencing Approach for In-depth Understanding of Genes in Secondary Metabolism Pathways of Camellia sinensis |
title_full | Transcriptome Profiling Using Single-Molecule Direct RNA Sequencing Approach for In-depth Understanding of Genes in Secondary Metabolism Pathways of Camellia sinensis |
title_fullStr | Transcriptome Profiling Using Single-Molecule Direct RNA Sequencing Approach for In-depth Understanding of Genes in Secondary Metabolism Pathways of Camellia sinensis |
title_full_unstemmed | Transcriptome Profiling Using Single-Molecule Direct RNA Sequencing Approach for In-depth Understanding of Genes in Secondary Metabolism Pathways of Camellia sinensis |
title_short | Transcriptome Profiling Using Single-Molecule Direct RNA Sequencing Approach for In-depth Understanding of Genes in Secondary Metabolism Pathways of Camellia sinensis |
title_sort | transcriptome profiling using single-molecule direct rna sequencing approach for in-depth understanding of genes in secondary metabolism pathways of camellia sinensis |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5504172/ https://www.ncbi.nlm.nih.gov/pubmed/28744294 http://dx.doi.org/10.3389/fpls.2017.01205 |
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