De novo transcriptome and small RNA analysis of two Chinese willow cultivars reveals stress response genes in Salix matsudana

• Published in: PloS one Vol. 9; no. 10; p. e109122
• Main Authors: Rao, Guodong, Sui, Jinkai, Zeng, Yanfei, He, Caiyun, Duan, Aiguo, Zhang, Jianguo
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 02.10.2014; Public Library of Science (PLoS)
• Subjects: Abiotic stress; Alternative energy sources; Analysis; Arabidopsis; Biology and Life Sciences; Climate change; Cultivars; Drought; Functional analysis; Gene expression; Genes; Genetics; Kinases; Laboratories; MicroRNA; miRNA; Oryza; Oxidative stress; Pathogens; Physiology; Plant biology; Ribonucleic acid; RNA; RNA, Plant - genetics; Salix; Salix - genetics; Salix caprea; Salix matsudana; Salix viminalis; Signal transduction; Stress response; Stress, Physiological - genetics; Stresses; Tips; Transcriptome; Trees; Willow; Beijing China; China
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0109122

Salix matsudana Koidz. is a deciduous, rapidly growing, and drought resistant tree and is one of the most widely distributed and commonly cultivated willow species in China. Currently little transcriptomic and small RNAomic data are available to reveal the genes involve in the stress resistant in S. matsudana. Here, we report the RNA-seq analysis results of both transcriptome and small RNAome data using Illumina deep sequencing of shoot tips from two willow variants(Salix. matsudana and Salix matsudana Koidz. cultivar 'Tortuosa'). De novo gene assembly was used to generate the consensus transcriptome and small RNAome, which contained 106,403 unique transcripts with an average length of 944 bp and a total length of 100.45 MB, and 166 known miRNAs representing 35 miRNA families. Comparison of transcriptomes and small RNAomes combined with quantitative real-time PCR from the two Salix libraries revealed a total of 292 different expressed genes(DEGs) and 36 different expressed miRNAs (DEMs). Among the DEGs and DEMs, 196 genes and 24 miRNAs were up regulated, 96 genes and 12 miRNA were down regulated in S. matsudana. Functional analysis of DEGs and miRNA targets showed that many genes were involved in stress resistance in S. matsudana. Our global gene expression profiling presents a comprehensive view of the transcriptome and small RNAome which provide valuable information and sequence resources for uncovering the stress response genes in S. matsudana. Moreover the transcriptome and small RNAome data provide a basis for future study of genetic resistance in Salix.