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A Pre-Vaccination Baseline of SARS-CoV-2 Genetic Surveillance and Diversity in the United States

  1. Author:
    Capoferri,Adam
    Shao,Wei
    Spindler,Jon
    Coffin, John M.
    Rausch,Jason
    Kearney,Mary
  2. Author Address

    NCI Frederick, Ctr Canc Res, HIV Dynam & Replicat Program, Frederick, MD 21701 USA.Georgetown Univ, Dept Microbiol & Immunol, Washington, DC 20007 USA.Frederick Natl Lab Canc Res, Adv Biomed Comp Sci, Frederick, MD 21702 USA.Tufts Univ, Dept Mol Biol & Microbiol, Boston, MA 02129 USA.
    1. Year: 2022
    2. Date: Jan 7
  1. Journal: Viruses-Basel
  2. MDPI,
    1. 14
    2. 1
  3. Type of Article: Article
  4. Article Number: ARTN 104
  5. ISSN: 1999-4915
  1. Abstract:

    COVID-19 vaccines were first administered on 15 December 2020, marking an important transition point for the spread of SARS-CoV-2 in the United States (U.S.). Prior to this point in time, the virus spread to an almost completely immunologically naive population, whereas subsequently, vaccine-induced immune pressure and prior infections might be expected to influence viral evolution. Accordingly, we conducted a study to characterize the spread of SARS-CoV-2 in the U.S. pre-vaccination, investigate the depth and uniformity of genetic surveillance during this period, and measure and otherwise characterize changing viral genetic diversity, including by comparison with more recently emergent variants of concern (VOCs). In 2020, SARS-CoV-2 spread across the U.S. in three phases distinguishable by peaks in the numbers of infections and shifting geographical distributions. Virus was genetically sampled during this period at an overall rate of ~1.2%, though there was a substantial mismatch between case rates and genetic sampling nationwide. Viral genetic diversity tripled over this period but remained low in comparison to other widespread RNA virus pathogens, and although 54 amino acid changes were detected at frequencies exceeding 5%, linkage among them was not observed. Based on our collective observations, our analysis supports a targeted strategy for worldwide genetic surveillance as perhaps the most sensitive and efficient means of detecting new VOCs.

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External Sources

  1. DOI: 10.3390/v14010104
  2. PMID: 35062308
  3. PMCID: PMC8778900
  4. WOS: 000747104800001

Library Notes

  1. Open Access Publication
  2. Fiscal Year: FY2021-2022
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