Liu Feng, Wang Yu, Ding Zhaotang, Zhao Lei, Xiao Jun, Wang Linjun, Ding Shibo
Tea Research Institute, Qingdao Agricultural University, Qingdao 266109, China.
Tea Research Institute, Qingdao Agricultural University, Qingdao 266109, China.
Gene. 2017 Oct 5;631:39-51. doi: 10.1016/j.gene.2017.08.013. Epub 2017 Aug 24.
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.
开花是植物发育过程中的一个关键且复杂的过程,涉及众多内源和环境因素的相互作用,但对于调控茶树花发育的复杂网络却知之甚少。在本研究中,利用Illumina测序技术进行了从头转录组组装和基因表达分析。转录组分析汇集了与茶树生殖生长相关的基因信息。对注释后的单基因进行基因本体论(GO)分析表明,大多数测序基因与代谢和细胞过程、细胞及细胞部分、催化活性和结合有关。京都基因与基因组百科全书(KEGG)通路分析表明,差异表达基因(DEGs)中富集了代谢通路、次生代谢物的生物合成以及植物激素信号转导。此外,从我们的数据库中鉴定出207个与开花相关的单基因。一些转录因子,如WRKY、ERF、bHLH、MYB和MADS-box在花期转变中被上调,这可能在开花进程中发挥作用。此外,选择了14个基因用于通过定量实时PCR(qRT-PCR)确认表达水平。全面的转录组分析提供了关于参与茶树花发育的基因和通路的基础信息。我们的数据也为进一步研究茶树及其他植物物种提供了一个有用的数据库。