Simple reverse genetics systems for Asian and African Zika viruses

Thérèse Atieh1, Cécile Baronti1, Xavier de Lamballerie1,2

  • 1UMR "Emergence des Pathologies Virales" (EPV: Aix-Marseille university - IRD 190 - Inserm 1207 - EHESP), Marseille, 13385, France.

Scientific Reports
|December 20, 2016
PubMed

Insights

Researchers developed simple reverse genetics tools for Zika virus (ZIKV) using the Infectious Subgenomic Amplicons (ISA) method. These tools enable rapid generation of engineered ZIKV strains for studying disease mechanisms and evolution.

Area of Science:

  • Virology
  • Molecular Biology
  • Infectious Diseases

Background:

  • Zika virus (ZIKV) is a re-emerging mosquito-borne pathogen linked to severe congenital and neurological conditions.
  • Effective reverse genetics systems are crucial for understanding ZIKV's natural history, ecology, and pathophysiology.
  • Existing tools may not fully capture the complexities of ZIKV evolution and disease mechanisms.

Purpose of the Study:

  • To develop and provide accessible, high-performing reverse genetics systems for Zika virus.
  • To create tools based on both Asian outbreak and African ZIKV strains.
  • To facilitate research into ZIKV's evolutionary dynamics and disease pathogenesis.

Main Methods:

  • Utilized the bacterium-free Infectious Subgenomic Amplicons (ISA) method.
  • Generated reverse genetics systems from low-passaged Asian (French Polynesia 2013) and African (Dakar 1984) ZIKV strains.
  • Engineered wild-type and variant ZIKV strains, including intra- and inter-lineage chimeras.

Main Results:

  • Successfully generated two simple and effective reverse genetics systems for ZIKV.
  • Provided these systems to the scientific community through the European Virus Archive.
  • Rapidly derived engineered ZIKV variants within days using the ISA procedure.
  • Developed tools based on low-passaged ZIKV strains, preserving original genetic characteristics.

Conclusions:

  • The developed ISA-based reverse genetics systems are valuable tools for ZIKV research.
  • These systems enable the study of ZIKV evolution and the pathophysiology of infections.
  • The availability of these tools will accelerate investigations into ZIKV's complex biology and disease impact.

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