Literature DB >> 28844668

Transcriptomic analysis of flower development in tea (Camellia sinensis (L.)).

Feng Liu1, Yu Wang1, Zhaotang Ding2, Lei Zhao1, Jun Xiao3, Linjun Wang4, Shibo Ding5.   

Abstract

Flowering is a critical and complicated process in plant development, involving interactions of numerous endogenous and environmental factors, but little is known about the complex network regulating flower development in tea plants. In this study, de novo transcriptome assembly and gene expression analysis using Illumina sequencing technology were performed. Transcriptomic analysis assembles gene-related information involved in reproductive growth of C. sinensis. Gene Ontology (GO) analysis of the annotated unigenes revealed that the majority of sequenced genes were associated with metabolic and cellular processes, cell and cell parts, catalytic activity and binding. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis indicated that metabolic pathways, biosynthesis of secondary metabolites, and plant hormone signal transduction were enriched among the DEGs. Furthermore, 207 flowering-associated unigenes were identified from our database. Some transcription factors, such as WRKY, ERF, bHLH, MYB and MADS-box were shown to be up-regulated in floral transition, which might play the role of progression of flowering. Furthermore, 14 genes were selected for confirmation of expression levels using quantitative real-time PCR (qRT-PCR). The comprehensive transcriptomic analysis presents fundamental information on the genes and pathways which are involved in flower development in C. sinensis. Our data also provided a useful database for further research of tea and other species of plants.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Camellia sinensis (L.) O. Kuntze; Flower development; Flowering time transcriptome

Mesh:

Substances:

Year:  2017        PMID: 28844668     DOI: 10.1016/j.gene.2017.08.013

Source DB:  PubMed          Journal:  Gene        ISSN: 0378-1119            Impact factor:   3.688


  13 in total

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