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Tea Plant Information Archive: a comprehensive genomics and bioinformatics platform for tea plant
Tea is the world's widely consumed nonalcohol beverage with essential economic and health benefits. Confronted with the increasing large‐scale omics‐data set particularly the genome sequence released in tea plant, the construction of a comprehensive knowledgebase is urgently needed to facilitat...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6737018/ https://www.ncbi.nlm.nih.gov/pubmed/30913342 http://dx.doi.org/10.1111/pbi.13111 |
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author | Xia, En‐Hua Li, Fang‐Dong Tong, Wei Li, Peng‐Hui Wu, Qiong Zhao, Hui‐Juan Ge, Ruo‐Heng Li, Ruo‐Pei Li, Ye‐Yun Zhang, Zheng‐Zhu Wei, Chao‐Ling Wan, Xiao‐Chun |
author_facet | Xia, En‐Hua Li, Fang‐Dong Tong, Wei Li, Peng‐Hui Wu, Qiong Zhao, Hui‐Juan Ge, Ruo‐Heng Li, Ruo‐Pei Li, Ye‐Yun Zhang, Zheng‐Zhu Wei, Chao‐Ling Wan, Xiao‐Chun |
author_sort | Xia, En‐Hua |
collection | PubMed |
description | Tea is the world's widely consumed nonalcohol beverage with essential economic and health benefits. Confronted with the increasing large‐scale omics‐data set particularly the genome sequence released in tea plant, the construction of a comprehensive knowledgebase is urgently needed to facilitate the utilization of these data sets towards molecular breeding. We hereby present the first integrative and specially designed web‐accessible database, Tea Plant Information Archive (TPIA; http://tpia.teaplant.org). The current release of TPIA employs the comprehensively annotated tea plant genome as framework and incorporates with abundant well‐organized transcriptomes, gene expressions (across species, tissues and stresses), orthologs and characteristic metabolites determining tea quality. It also hosts massive transcription factors, polymorphic simple sequence repeats, single nucleotide polymorphisms, correlations, manually curated functional genes and globally collected germplasm information. A variety of versatile analytic tools (e.g. JBrowse, blast, enrichment analysis, etc.) are established helping users to perform further comparative, evolutionary and functional analysis. We show a case application of TPIA that provides novel and interesting insights into the phytochemical content variation of section Thea of genus Camellia under a well‐resolved phylogenetic framework. The constructed knowledgebase of tea plant will serve as a central gateway for global tea community to better understand the tea plant biology that largely benefits the whole tea industry. |
format | Online Article Text |
id | pubmed-6737018 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-67370182019-09-16 Tea Plant Information Archive: a comprehensive genomics and bioinformatics platform for tea plant Xia, En‐Hua Li, Fang‐Dong Tong, Wei Li, Peng‐Hui Wu, Qiong Zhao, Hui‐Juan Ge, Ruo‐Heng Li, Ruo‐Pei Li, Ye‐Yun Zhang, Zheng‐Zhu Wei, Chao‐Ling Wan, Xiao‐Chun Plant Biotechnol J Research Articles Tea is the world's widely consumed nonalcohol beverage with essential economic and health benefits. Confronted with the increasing large‐scale omics‐data set particularly the genome sequence released in tea plant, the construction of a comprehensive knowledgebase is urgently needed to facilitate the utilization of these data sets towards molecular breeding. We hereby present the first integrative and specially designed web‐accessible database, Tea Plant Information Archive (TPIA; http://tpia.teaplant.org). The current release of TPIA employs the comprehensively annotated tea plant genome as framework and incorporates with abundant well‐organized transcriptomes, gene expressions (across species, tissues and stresses), orthologs and characteristic metabolites determining tea quality. It also hosts massive transcription factors, polymorphic simple sequence repeats, single nucleotide polymorphisms, correlations, manually curated functional genes and globally collected germplasm information. A variety of versatile analytic tools (e.g. JBrowse, blast, enrichment analysis, etc.) are established helping users to perform further comparative, evolutionary and functional analysis. We show a case application of TPIA that provides novel and interesting insights into the phytochemical content variation of section Thea of genus Camellia under a well‐resolved phylogenetic framework. The constructed knowledgebase of tea plant will serve as a central gateway for global tea community to better understand the tea plant biology that largely benefits the whole tea industry. John Wiley and Sons Inc. 2019-04-11 2019-10 /pmc/articles/PMC6737018/ /pubmed/30913342 http://dx.doi.org/10.1111/pbi.13111 Text en © 2019 The Authors. Plant Biotechnology Journal published by Society for Experimental Biology and The Association of Applied Biologists and John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Articles Xia, En‐Hua Li, Fang‐Dong Tong, Wei Li, Peng‐Hui Wu, Qiong Zhao, Hui‐Juan Ge, Ruo‐Heng Li, Ruo‐Pei Li, Ye‐Yun Zhang, Zheng‐Zhu Wei, Chao‐Ling Wan, Xiao‐Chun Tea Plant Information Archive: a comprehensive genomics and bioinformatics platform for tea plant |
title | Tea Plant Information Archive: a comprehensive genomics and bioinformatics platform for tea plant |
title_full | Tea Plant Information Archive: a comprehensive genomics and bioinformatics platform for tea plant |
title_fullStr | Tea Plant Information Archive: a comprehensive genomics and bioinformatics platform for tea plant |
title_full_unstemmed | Tea Plant Information Archive: a comprehensive genomics and bioinformatics platform for tea plant |
title_short | Tea Plant Information Archive: a comprehensive genomics and bioinformatics platform for tea plant |
title_sort | tea plant information archive: a comprehensive genomics and bioinformatics platform for tea plant |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6737018/ https://www.ncbi.nlm.nih.gov/pubmed/30913342 http://dx.doi.org/10.1111/pbi.13111 |
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