Global Transcriptome Analysis of Aedes aegypti Mosquitoes in Response to Zika Virus Infection

Kayvan Etebari1, Shivanand Hegde2, Miguel A Saldaña3

  • 1Australian Infectious Disease Research Centre, School of Biological Sciences, The University of Queensland, Brisbane, Queensland, Australia.

Msphere
|December 5, 2017
PubMed

Insights

Researchers studied how Zika virus (ZIKV) affects the Aedes aegypti mosquito. They found significant changes in mosquito gene activity, including coding and noncoding RNAs, offering insights into virus-vector interactions and potential transmission control.

Area of Science:

  • Virology
  • Entomology
  • Genomics

Background:

  • Zika virus (ZIKV) is a mosquito-borne flavivirus linked to microcephaly and declared a global health emergency.
  • Aedes aegypti mosquitoes transmit ZIKV, but molecular interactions between the virus and vector are poorly understood.

Purpose of the Study:

  • To investigate the transcriptional response of Aedes aegypti mosquitoes to Zika virus infection.
  • To identify host factors and molecular mechanisms involved in ZIKV replication and the mosquito's antiviral response.

Main Methods:

  • Transcriptome sequencing of whole Aedes aegypti mosquitoes at 2, 7, and 14 days post-ZIKV infection.
  • Gene ontology analysis to identify functions of altered transcripts.
  • Identification of long intergenic noncoding RNAs and potential mRNA targets of microRNAs.

Main Results:

  • Significant changes in the abundance of numerous transcripts were observed at all time points post-infection.
  • 18 transcripts were consistently altered across the three time points.
  • Altered genes were primarily involved in metabolic processes, cellular processes, and proteolysis. 486 long intergenic noncoding RNAs were identified.
  • Changes in host microRNAs and their potential mRNA targets were observed.

Conclusions:

  • The study provides a comprehensive view of the transcriptional changes in Aedes aegypti mosquitoes following ZIKV infection.
  • Findings reveal insights into host-vector interactions and potential antiviral mechanisms.
  • Results contribute to understanding flavivirus-vector dynamics, relevant for controlling diseases like Zika and dengue.

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