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Control of dengue virus in the midgut of Aedes aegypti by ectopic expression of the dsRNA-binding protein Loqs2.

Roenick Proveti OlmoAlvaro G A FerreiraTatiane C Izidoro-ToledoEric R G R AguiarIsaque J S de FariaKátia P R de SouzaKátia P OsórioLauriane KuhnPhilippe HammannElisa G de AndradeYaovi Mathias TodjroMarcele N RochaThiago H J F LeiteSiad C G AmadouJuliana N ArmacheSimona ParoCaroline D de OliveiraFabiano D CarvalhoLuciano A MoreiraEric MaroisJean-Luc ImlerJoão Trindade Marques
Published in: Nature microbiology (2018)
Dengue virus (DENV) is an arbovirus transmitted to humans by Aedes mosquitoes1. In the insect vector, the small interfering RNA (siRNA) pathway is an important antiviral mechanism against DENV2-5. However, it remains unclear when and where the siRNA pathway acts during the virus cycle. Here, we show that the siRNA pathway fails to efficiently silence DENV in the midgut of Aedes aegypti although it is essential to restrict systemic replication. Accumulation of DENV-derived siRNAs in the midgut reveals that impaired silencing results from a defect downstream of small RNA biogenesis. Notably, silencing triggered by endogenous and exogenous dsRNAs remained effective in the midgut where known components of the siRNA pathway, including the double-stranded RNA (dsRNA)-binding proteins Loquacious and r2d2, had normal expression levels. We identified an Aedes-specific paralogue of loquacious and r2d2, hereafter named loqs2, which is not expressed in the midgut. Loqs2 interacts with Loquacious and r2d2 and is required to control systemic replication of DENV and also Zika virus. Furthermore, ectopic expression of Loqs2 in the midgut of transgenic mosquitoes is sufficient to restrict DENV replication and dissemination. Together, our data reveal a mechanism of tissue-specific regulation of the mosquito siRNA pathway controlled by Loqs2.
Keyphrases
  • aedes aegypti
  • dengue virus
  • zika virus
  • binding protein
  • poor prognosis
  • cancer therapy
  • drug delivery
  • hyaluronic acid
  • gene expression
  • genome wide
  • electronic health record
  • dna methylation
  • data analysis
  • big data