Genome-wide identification of microRNAs responsive to Ectropis oblique feeding in tea plant (Camellia sinensis L.). Issue 1 (December 2017)

• Record Type: Journal Article
• Authors: Jeyaraj, Anburaj; Liu, Shengrui; Zhang, Xiao; Zhang, Ran; Shangguan, Mingzhu; Wei, Chaoling
• Is Part Of: Scientific reports. Volume 7:Issue 1(2017)
• Page Start: 1
• Page End: 16
• Publication Date: 2017-12
• Subjects: Natural history -- Research -- Periodicals; Biology -- Research -- Periodicals; Physical sciences -- Research -- Periodicals; Earth sciences -- Research -- Periodicals; Environmental sciences -- Research -- Periodicals; 502.85
• DOI: 10.1038/s41598-017-13692-7
• Languages: English
• ISSNs: 2045-2322

Abstract

Abstract The tea plant (Camellia sinensis L.) is vulnerable to the geometridEctropis oblique ; although microRNAs (miRNAs) are important for plant growth, development and stress response, the function of miRNAs in the response ofC .sinensis to stress fromE .oblique is unclear. To identifyE .oblique stress-responsive miRNAs and their target genes in tea plant, three small RNA libraries were constructed from leaves subjected to mechanical wounding (MW), geometrid attack (GA) and from healthy control (CK) leaves. Using high-throughput sequencing, 130 known miRNAs and 512 novel miRNAs were identified; of these, differential expression under GA stress was observed for 36 known and 139 novel miRNAs. Furthermore, 169 GA-responsive and 173 MW-responsive miRNAs were detected by miRNA microarray. The expression patterns of six GA-responsive miRNAs were validated by qRT-PCR. Several target genes for these miRNAs encode various transcription factors, including ethylene-responsive transcription factors and squamosa promoter-binding-like proteins, which suggests that these miRNAs may regulate stress-responsive transcriptional processes in tea plant. The present findings provide novel insights into miRNA-mediated regulatory mechanisms underlying the response to GA stress, and also offer valuable information for development of pest resistance using RNA interference-based strategies in tea plants.