Tea plant (Camellia sinensis) is a typical fluoride (F) hyperaccumulator enriching most F in old leaves. There is association between the risk of fluorosis and excessive consumption of teas prepared using the old leaves. It is meaningful to develop methods for controlling F levels in tea leaves. We generated a comprehensive RNA-seq dataset from tea plants grown at various F levels for different durations by hydroponics, aiming at providing information on mechanism of F metabolism in tea plant. Besides raw reads of the RNA-seq dataset, we present assembled unigenes and aligned unigenes with annotations versus the Gene Ontology (GO) databases, Kyoto Encyclopaedia of Genes and Genomes (KEGG) databases, and Nonredundant (Nr) protein databases with low e-values. 69,488 unigenes were obtained in total, in which 40,894 were given Nr annotations. Design Type(s) transcription profiling by high throughput sequencing design • factorial design • sequence assembly objective Measurement Type(s) transcription profiling assay Technology Type(s) RNA sequencing Factor Type(s) Fluoride Measurement • experimental condition • Exposure Duration Sample Characteristic(s) Camellia sinensis • leaf Design Type(s) transcription profiling by high throughput sequencing design • factorial design • sequence assembly objective Measurement Type(s) transcription profiling assay Technology Type(s) RNA sequencing Factor Type(s) Fluoride Measurement • experimental condition • Exposure Duration Sample Characteristic(s) Camellia sinensis • leaf Machine-accessible metadata file describing the reported data (ISA-Tab format)
De novo transcriptome assembly of fluorine accumulator tea plant Camellia sinensis with fluoride treatments
Qing-Sheng Li,Xu-Min Li,Ru-Ying Qiao,Enhui Shen,Xiao-Ming Lin,Jian-Liang Lu,Jian-Hui Ye,Yuerong Liang,Xinqiang Zheng
Published 2018 in Scientific Data
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- Publication year
2018
- Venue
Scientific Data
- Publication date
2018-09-25
- Fields of study
Biology, Medicine, Environmental Science
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Semantic Scholar, PubMed
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