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：Rao, Guodong;饶国栋

通信作者：Zhang, Jianguo|[a00057a96837055f0868d]张建国;

机构：[1] State Key Laboratory of Tree Genetics and Breeding, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091, China; [2] Collaborative Innovation Center of Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, 210037, China; [3] Key Laboratory of Tree Breeding and Cultivation, State Forestry Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091, 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：EI(收录号：20161802312298);Scopus(收录号：2-s2.0-84964253442)

语种：英文

外文关键词：Plants (botany) - Polymerase chain reaction - Amino acids - Histology - RNA - Gene expression - Forestry

摘要：Key message: 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. Abstract: 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. ? 2016, Springer-Verlag Berlin Heidelberg.