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SARS-CoV-2 Spatiotemporal Genomic and Molecular Analysis of the First Wave of the COVID-19 Pandemic in Macaé, the Brazilian Capital of Oil.

Bruno da-Costa-RodriguesCaio Felipe de Araujo R CheohenFelipe SciammarellaAllan Pierre-Bonetti-PozzobonLupis RibeiroJosé Luciano Nepomuceno-SilvaMarcio José DE MedeirosFlávia MuryCintia Monteiro-de-BarrosCristiano LazoskiManuela L DA SilvaAmilcar TanuriRodrigo N DA Fonseca
Published in: International journal of molecular sciences (2022)
The SARS-CoV-2 virus infection led to millions of deaths during the COVID-19 pandemic. Hundreds of workers from several other Brazilian cities, as well as from other countries, arrive daily in Macaé to work in the oil supply chain, making this city a putative hotspot for the introduction of new viral lineages. In this study, we performed a genomic survey of SARS-CoV-2 samples from Macaé during the first outbreak of COVID-19, combined with clinical data and a molecular integrative analysis. First, phylogenomic analyses showed a high occurrence of viral introduction events and the establishment of local transmissions in Macaé, including the ingression and spread of the B.1.1.28 lineage in the municipality from June to August 2020. Second, SARS-CoV-2 mutations were identified in patients with distinct levels of COVID-19 severity. Third, molecular interactions of the mutated spike protein from three B.1.1.33 local samples and human ACE2 showed higher interactions than that of the wild-type spike protein from the ancestral virus. Altogether, these results elucidate the SARS-CoV-2 genomic profile in a strategic Brazilian city and further explore the functional aspects of SARS-CoV-2 with a characterization of emerging viral mutations associated with clinical data and the potential targets for drug development against SARS-CoV-2.
Keyphrases
  • sars cov
  • respiratory syndrome coronavirus
  • wild type
  • risk assessment
  • electronic health record
  • physical activity
  • single cell
  • fatty acid
  • single molecule
  • artificial intelligence
  • data analysis