Project description:Laodelphax striatellus is naturally infected with the Wolbachia strain wStri, which significantly increase the fecundity of its host. Wolbachia-infected females produce 30%–40% more eggs than Wolbachia-uninfected females. MicroRNAs (miRNAs) are a class of endogenous non-coding small RNAs that play critical roles in the regulation of gene expression at post-transcriptional level. Here we report the differentially expressed miRNAs between Wolbachia-infected and Wolbachia-uninfected strains of L. striatellus ovaries. Our data may be helpful to explore the molecular mechanisms by which Wolbachia increase the fecundity of Laodelphax striatellus.
Project description:In order to clarify the molecular mechanism of metabolic detoxification in Laodelphax striatellus (Fallén), the transcriptome sequencing analysis was used to screen and identify the relevant genes related to metabolic detoxification after induced by β-asarone at LC50 dose.
Project description:During the pathogenesis of virus disease, lots of changes occur in plant hosts including the altered gene expression profiles. Rice stripe virus (RSV) is the type member of Tenuivirus, transmitted by Laodelphax striatellus in a circulative propagative man; To investigate the molecular differences in two japonica rice genotypes WuYun3 and KT95-418 in response to RSV infection, Affymetrix rice genome array were used to analyze and compare their transcriptional profiles. Experiment Overall Design: Nine-day old 20 rice seedlings were exposed to approximately 100 viruliferous small brown planthoppers (Laodelphax striatellus Fall) for two days to be innoculated by RSV. Then they were transplanted in insect-free greenhouse at 25±3C with a daily photope
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.
Project description:In this study, we analyzed the early response of two rice cultivars to infection by RSV (Rice stripe virus) and its carrier at the transcriptome level using next-generation deep-sequencing techniques. We investigated the alteration in gene expression between a disease-resistant cultivar and a susceptible cultivar before and after inoculation with RSV by co-culturing with Laodelphax striatellus for 48 h. Our study provides insight at the molecular level into the mechanism of development of rice stripe disease, which contributes to our understanding of the rice-RSV interaction.