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Production of a SARS-CoV-2 Virus-Like-Particle System to Investigate Viral Life Cycles In Vitro
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Multiscale Feedback Loops in SARS-CoV-2 Viral Evolution.

Christopher Barrett1,2, Andrei C Bura1, Qijun He1

  • 1Biocomplexity Institute, University of Virginia, Charlottesville, Virginia, USA.

Journal of Computational Biology : a Journal of Computational Molecular Cell Biology
|December 4, 2020
PubMed
Summary
This summary is machine-generated.

Societal behaviors during the COVID-19 pandemic influenced the genomic evolution of SARS-CoV-2. This study reveals how macrolevel dynamics, like social distancing, impact viral mutations and their interactions.

Keywords:
COVID-19SARS-CoV-2feedback loopmultiscaleviral mutation

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Area of Science:

  • Virology
  • Genomics
  • Epidemiology

Background:

  • The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) genome has shown relative stability with mutations primarily in coding regions.
  • The prevailing understanding links microlevel factors to macrolevel pandemic parameters like infection and death rates.

Purpose of the Study:

  • To provide evidence that macrolevel pandemic dynamics, including social distancing, modulate SARS-CoV-2 genomic evolution.
  • To explore the feedback between macrolevel dynamics and viral populations.
  • To identify specific mutations and their interactions influenced by societal factors.

Main Methods:

  • Analysis of mutational signals in geospatially separated populations (e.g., CA vs. NY and WA).
  • Application of a transfer entropy framework to capture macrolevel dynamics-viral population feedback.
  • Investigation of interactions within mutational clades and identification of specific mutations, including a noncoding one (G29540A).

Main Results:

  • Observed differences in mutational signals across different geographic locations.
  • Demonstrated complex interactions between mutations, with one mutation's appearance correlating with a spike in another.
  • Identified a noncoding mutation (G29540A) largely confined to New York.

Conclusions:

  • Macrolevel sociobehavioral measures significantly impact viral genomics.
  • These findings can aid in tracking SARS-CoV-2 evolution.
  • SARS-CoV-2 exhibits a high degree of adaptability and complex mutational interactions.