Abstract
This study aimed to investigate the transcriptomic changes in the midgut and salivary glands of Aedes aegypti mosquitoes infected with Zika virus (ZIKV), in order to explore the molecular mechanisms underlying the interaction between the virus and the mosquito vector. Aedes aegypti from Jiegao (JG) and Mengding (MD) in China were experimentally infected with ZIKV, and the midgut and salivary gland tissues were collected at 2-, 4- and 6 days post-infection (dpi). High-throughput sequencing was performed to analyze the transcriptomic changes between ZIKV-infected and non-infected Ae. aegypti midgut and salivary gland tissues. Bioinformatics tools were employed for further analysis of the transcriptomic data. The expression levels of 8 significantly differentially expressed genes (DEGs) were validated using RT-qPCR. A conjoint analysis of small RNA-seq and mRNA-seq was performed to screen interactional miRNA-mRNA pairs during ZIKV infection. Using the Search Tool for the Retrieval of Interacting Genes, we constructed a protein-protein interaction network of genes and subsequently identified hub genes. The most significant transcriptional changes in Ae. aegypti occurred at 2 dpi. On 2, 4 and 6 dpi, 11 genes showed significant changes in both the midgut and salivary glands of the same mosquito strain, while 25 genes exhibited significant changes in the same tissue between the JG and MD strains. The expression tendencies of 8 DEGs obtained by RNA-Seq were similar to those detected by RT-qPCR. Furthermore, we individually identified 10 hub genes in the midgut and salivary glands. Based on previous miRNA research, we discovered the involvement of 9 miRNAs in the regulation of these hub genes. Our findings demonstrate that Ae. aegypti exhibit distinct transcriptomic changes in response to ZIKV infection. The identification of the hub genes and their regulatory miRNAs provides valuable insights into the molecular mechanisms underlying ZIKV infection in mosquitoes. This study contributes to a better understanding of the pathogen-vector interactions and may aid in the development of targeted strategies for ZIKV control.