Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Xu, Qingshan, Zhu, Junyan, Zhao, Shiqi, Hou, Yan, Li, Fangdong, Tai, Yuling, Wan, Xiaochun, Wei, ChaoLing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
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
_version_ 1783249232285663232
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
work_keys_str_mv AT xuqingshan transcriptomeprofilingusingsinglemoleculedirectrnasequencingapproachforindepthunderstandingofgenesinsecondarymetabolismpathwaysofcamelliasinensis
AT zhujunyan transcriptomeprofilingusingsinglemoleculedirectrnasequencingapproachforindepthunderstandingofgenesinsecondarymetabolismpathwaysofcamelliasinensis
AT zhaoshiqi transcriptomeprofilingusingsinglemoleculedirectrnasequencingapproachforindepthunderstandingofgenesinsecondarymetabolismpathwaysofcamelliasinensis
AT houyan transcriptomeprofilingusingsinglemoleculedirectrnasequencingapproachforindepthunderstandingofgenesinsecondarymetabolismpathwaysofcamelliasinensis
AT lifangdong transcriptomeprofilingusingsinglemoleculedirectrnasequencingapproachforindepthunderstandingofgenesinsecondarymetabolismpathwaysofcamelliasinensis
AT taiyuling transcriptomeprofilingusingsinglemoleculedirectrnasequencingapproachforindepthunderstandingofgenesinsecondarymetabolismpathwaysofcamelliasinensis
AT wanxiaochun transcriptomeprofilingusingsinglemoleculedirectrnasequencingapproachforindepthunderstandingofgenesinsecondarymetabolismpathwaysofcamelliasinensis
AT weichaoling transcriptomeprofilingusingsinglemoleculedirectrnasequencingapproachforindepthunderstandingofgenesinsecondarymetabolismpathwaysofcamelliasinensis