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Using a reverse genetics system to generate recombinant SARS-CoV-2 expressing robust levels of reporter genes
Chengjin Ye; Luis Martinez-Sobrido.
Affiliation
  • Chengjin Ye; Texas Biomedical Research Institute
  • Luis Martinez-Sobrido; Texas Biomedical Research Institute
Preprint in English | bioRxiv | ID: ppbiorxiv-492922
ABSTRACT
Reporter-expressing recombinant virus represents an excellent option and a powerful tool to investigate, among others, viral infection, pathogenicity, and transmission, as well as to identify therapeutic compounds that inhibit viral infection and prophylactic vaccines. To combat the still ongoing coronavirus disease 2019 (COVID-19) pandemic, we have established a robust bacterial artificial chromosome (BAC)-based reverse genetics (RG) system to rapidly generate recombinant severe acute respiratory syndrome coronavirus 2 (rSARS-CoV-2) to study the contribution of viral proteins in viral pathogenesis. In addition, we have also engineered reporter-expressing recombinant viruses in which we place the reporter genes upstream of the viral nucleocapsid (N) gene to promote high levels of reporter gene expression that facilitates the study of SARS-CoV-2 in vitro and in vivo. Although successful, the genetic manipulation of the BAC containing the entire SARS-CoV-2 genome of [~]30,000 nucleotides, is challenging. Herein, we depict the technical details to engineer rSARS-CoV-2 expressing reporter genes using the BAC-based RG approach. We describe i) assembly of the full-length (FL) SARS-CoV-2 genome sequences into the empty pBeloBAC, ii) verification of the pBeloBAC-FL, iii) cloning of a Venus reporter gene into the pBeloBAC-FL, and iv) recovery of the Venus-expressing rSARS-CoV-2. By following this protocol, researchers with basic molecular biology and gene engineering techniques knowledge will be able to generate wild-type and reporter-expressing rSARS-CoV-2.
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Full text: Available Collection: Preprints Database: bioRxiv Language: English Year: 2022 Document type: Preprint
Full text: Available Collection: Preprints Database: bioRxiv Language: English Year: 2022 Document type: Preprint
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