文献类型：期刊文献

英文题名：De novo transcriptome analysis reveals tissue-specific differences in gene expression in Salix arbutifolia

作者：Rao, Guodong[1,2,3] Zeng, Yanfei[1,3] Sui, Jinkai[2] Zhang, Jianguo[1,2,3]

第一作者：饶国栋;Rao, Guodong

通信作者：Zhang, JG[1];Zhang, JG[2];Zhang, JG[3]

机构：[1]Chinese Acad Forestry, Res Inst Forestry, State Key Lab Tree Genet & Breeding, Beijing 100091, Peoples R China;[2]Nanjing Forestry Univ, Collaborat Innovat Ctr Sustainable Forestry South, Nanjing 210037, Jiangsu, Peoples R China;[3]Chinese Acad Forestry, Res Inst Forestry, State Forestry Adm, Key Lab Tree Breeding & Cultivat, Beijing 100091, Peoples R China

年份：2016

卷号：30

期号：5

起止页码：1647-1655

外文期刊名：TREES-STRUCTURE AND FUNCTION

收录：;WOS:【SCI-EXPANDED(收录号:WOS:000384406000015)】；

基金：This work was supported by the Fundamental Research Funds for the Central Non-profit of CAF (CAFYBB2014QB028), grants from the National Natural Science Foundation of China (31400569), Collaborative Innovation Plan of Jiangsu Higher Education (2013-2015), the Fundamental Research Funds for the Central Non-profit Research Institution of CAF (RIF2013-11), Beijing Co-building Plan for Scientific Research and Postgraduate Education (2013K0140, 2013K0141, 2014K0151, 2014K0152), we thank LetPub (www.letpub.com) for its linguistic assistance during the preparation of this manuscript.

语种：英文

外文关键词：Salix arbutifolia; Transcriptome; RNA-seq; De novo; Tissue-specific

摘要：Transcriptome of five tissues revealed tissue - specific differences in gene expression in Salix arbutifolia, which provides valuable information and sequence resources for identifying the DEGs in willow. Salix arbutifolia Pallas is an ancient tree that occupies the basal position in the Salicaceae phylogeny. It is a riparian dioecious tree species distributed in northeastern Asia. Currently, there are no transcriptomic data available that can be used to identify differentially expressed genes (DEGs) in different tissues of S. arbutifolia. Here, the RNA-seq analysis results of transcriptome data are reported using Illumina deep sequencing of five tissues from S. arbutifolia. De novo gene assembly was used to generate the consensus transcriptome, and over 25,529,018 high-quality reads were obtained for each library, with 75.97 GB clean data with a Q30 greater than 87.93 %. Here, 60,012 unigenes with an average length of 918 bp were obtained. Comparison of transcriptomes combined with quantitative real-time PCR from the Salix libraries showed that DEGs are mainly functional in photosynthesis, phenylalanine metabolism, glycolysis, and gluconeogenesis. The current global gene expression profiling exercise gives a comprehensive view of the transcriptome and provides valuable information and sequence resources for identifying the DEGs in S. arbutifolia. Moreover, the transcriptome data provide a basis for future study of genetic resistance in Salix.