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Transcriptomic profiling for prolonged drought in Dendrobium catenatum
Orchid epiphytes, a group containing at least 18,000 species, thrive in habitats that often undergo periodic drought stress. However, few global gene expression profiling datasets have been published for studies addressing the drought-resistant mechanism of this special population. In this study, an...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6207065/ https://www.ncbi.nlm.nih.gov/pubmed/30375990 http://dx.doi.org/10.1038/sdata.2018.233 |
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author | Wan, Xiao Zou, Long-Hai Zheng, Bao-Qiang Tian, Ying-Qiu Wang, Yan |
author_facet | Wan, Xiao Zou, Long-Hai Zheng, Bao-Qiang Tian, Ying-Qiu Wang, Yan |
author_sort | Wan, Xiao |
collection | PubMed |
description | Orchid epiphytes, a group containing at least 18,000 species, thrive in habitats that often undergo periodic drought stress. However, few global gene expression profiling datasets have been published for studies addressing the drought-resistant mechanism of this special population. In this study, an experiment involving the effect of continuous drought treatments on an epiphytic orchid, Dendrobium catenatum, was designed to generate 39 mature-leaf-tissue RNA-seq sequencing datasets with over two billion reads. These datasets were validated by a series of quality assessments including RNA sample quality, RNA-seq read quality, and global gene expression profiling. We believe that these comprehensive transcriptomic resources will allow a better understanding of the drought-resistant mechanisms of orchid epiphytes. |
format | Online Article Text |
id | pubmed-6207065 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-62070652018-11-06 Transcriptomic profiling for prolonged drought in Dendrobium catenatum Wan, Xiao Zou, Long-Hai Zheng, Bao-Qiang Tian, Ying-Qiu Wang, Yan Sci Data Data Descriptor Orchid epiphytes, a group containing at least 18,000 species, thrive in habitats that often undergo periodic drought stress. However, few global gene expression profiling datasets have been published for studies addressing the drought-resistant mechanism of this special population. In this study, an experiment involving the effect of continuous drought treatments on an epiphytic orchid, Dendrobium catenatum, was designed to generate 39 mature-leaf-tissue RNA-seq sequencing datasets with over two billion reads. These datasets were validated by a series of quality assessments including RNA sample quality, RNA-seq read quality, and global gene expression profiling. We believe that these comprehensive transcriptomic resources will allow a better understanding of the drought-resistant mechanisms of orchid epiphytes. Nature Publishing Group 2018-10-30 /pmc/articles/PMC6207065/ /pubmed/30375990 http://dx.doi.org/10.1038/sdata.2018.233 Text en Copyright © 2018, The Author(s) http://creativecommons.org/licenses/by/4.0/ Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files made available in this article. |
spellingShingle | Data Descriptor Wan, Xiao Zou, Long-Hai Zheng, Bao-Qiang Tian, Ying-Qiu Wang, Yan Transcriptomic profiling for prolonged drought in Dendrobium catenatum |
title | Transcriptomic profiling for prolonged drought in Dendrobium catenatum |
title_full | Transcriptomic profiling for prolonged drought in Dendrobium catenatum |
title_fullStr | Transcriptomic profiling for prolonged drought in Dendrobium catenatum |
title_full_unstemmed | Transcriptomic profiling for prolonged drought in Dendrobium catenatum |
title_short | Transcriptomic profiling for prolonged drought in Dendrobium catenatum |
title_sort | transcriptomic profiling for prolonged drought in dendrobium catenatum |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6207065/ https://www.ncbi.nlm.nih.gov/pubmed/30375990 http://dx.doi.org/10.1038/sdata.2018.233 |
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