Project description:We report the application of whole transcriptome sequencing technology for high-throughput profiling of coding and non-coding RNAs associated with RBSDV infection in Laodelphax striatellus (Fallén) midgut. Over 20 and 21 million clean reads from virus free (VF) and RBSDV infected (RB) libraries were obtained, respectively. Q30 base percentages of each sequencing sample were no less than 93.89%. More than 50.37% of the clean reads were perfectly mapped to the L. striatellus genome. The uniquely mapping ratio was ranged from 48.03% to 52.08%. A total of 35,316 mRNAs and 13,927 novel lncRNAs were identified from VF and RB libraries. 169 mRNAs and 176 lncRNAs were differentially expressed during RBSDV infection. RNA-seq data had a linear relationship with qRT–PCR results. Our study represents the first detailed transcriptomes analysis of L. striatellus midgut during RBSDV infection, with biologic replicates, generated by RNA-seq technology. Our data contribute to the understanding of the function of coding and non-coding RNAs in the regulation of viral infection.
