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ABSTRACT: miRNA sequence of Wolbachia infected and uninfected Laodelphax striatellus

PROVIDER: PRJNA530287 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR8834651.fastq.gz	Fastqsanger.gz
	SRR8834652.fastq.gz	Fastqsanger.gz
	SRR8834653.fastq.gz	Fastqsanger.gz
	SRR8834654.fastq.gz	Fastqsanger.gz

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Differentially expressed miRNAs between the ovaries of Wolbachia-infected and Wolbachia-uninfected Laodelphax striatellus

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.

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Differentially expressed miRNAs between the ovaries of Wolbachia-infected and Wolbachia-uninfected Laodelphax striatellus

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Wolbachia infection modifies the profile, shuttling and structure of microRNAs in a mosquito cell line

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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.

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