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Deep sequencing of the Camellia sinensis transcriptome revealed candidate genes for major metabolic pathways of tea-specific compounds

BMC Genomics · 2011 · Vol. 12(1) · pp. 131–131

Cheng-Ying Shi✉(Anhui Agricultural University)Hua Yang(Anhui Agricultural University)Chaoling Wei(Anhui Agricultural University)Oliver Yu(Donald Danforth Plant Science Center)Zhengzhu Zhang(Anhui Agricultural University)Changjun Jiang(Anhui Agricultural University)Jun Sun(Anhui Agricultural University)Yeyun Li(Anhui Agricultural University)Qi Chen(Anhui Agricultural University)Tao Xia(Anhui Agricultural University)Xiaochun Wan(Anhui Agricultural University)

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Abstract

An extensive transcriptome dataset has been obtained from the deep sequencing of tea plant. The coverage of the transcriptome is comprehensive enough to discover all known genes of several major metabolic pathways. This transcriptome dataset can serve as an important public information platform for gene expression, genomics, and functional genomic studies in C. sinensis.

Tea Polyphenols and Effects Microbial Metabolism and Applications Fermentation and Sensory AnalysisBiologyKEGGTranscriptomeCamellia sinensisGeneticsDe novo transcriptome assemblyGeneUniProtGenomeDNA microarray

MeSH terms

TeaGene LibraryCluster AnalysisSequence Analysis, DNAGenome, PlantRNA, PlantReverse Transcriptase Polymerase Chain ReactionExpressed Sequence TagsGene Expression ProfilingCamellia sinensisMetabolic Networks and PathwaysMolecular Sequence AnnotationHigh-Throughput Nucleotide Sequencing