Temporal dynamics of SARS-CoV-2 genome and detection of variants of concern in wastewater influent from two metropolitan areas in Arkansas

Sci Total Environ. 2022 Nov 25:849:157546. doi: 10.1016/j.scitotenv.2022.157546. Epub 2022 Jul 30.

Abstract

Although SARS-CoV-2 can cause severe illness and death, a percentage of the infected population is asymptomatic. This, along with other factors, such as insufficient diagnostic testing and underreporting due to self-testing, contributes to the silent transmission of SARS-CoV-2 and highlights the importance of implementing additional surveillance tools. The fecal shedding of the virus from infected individuals enables its detection in community wastewater, and this has become a valuable public health tool worldwide as it allows the monitoring of the disease on a populational scale. Here, we monitored the presence of SARS-CoV-2 and its dynamic genomic changes in wastewater sampled from two metropolitan areas in Arkansas during major surges of COVID-19 cases and assessed how the viral titers in these samples related to the clinical case counts between late April 2020 and January 2022. The levels of SARS-CoV-2 RNA were quantified by reverse-transcription quantitative polymerase chain reaction (RT-qPCR) using a set of TaqMan assays targeting three different viral genes (encoding ORF1ab polyprotein, surface glycoprotein, and nucleocapsid phosphoprotein). An allele-specific RT-qPCR approach was used to screen the samples for SARS-CoV-2 mutations. The identity and genetic diversity of the virus were further investigated through amplicon-based RNA sequencing, and SARS-CoV-2 variants of concern were detected in wastewater samples throughout the duration of this study. Our data show how changes in the virus genome can affect the sensitivity of specific RT-qPCR assays used in COVID-19 testing with the surge of new variants. A significant association was observed between viral titers in wastewater and recorded number of COVID-19 cases in the areas studied, except when assays failed to detect targets due to the presence of particular variants. These findings support the use of wastewater surveillance as a reliable complementary tool for monitoring SARS-CoV-2 and its genetic variants at the community level.

Keywords: Arkansas; COVID-19; Coronavirus; SARS-CoV-2; Variants of concern; Wastewater.

MeSH terms

  • Arkansas / epidemiology
  • COVID-19 Testing
  • COVID-19*
  • Humans
  • Membrane Glycoproteins
  • Phosphoproteins
  • Polyproteins
  • RNA, Viral / genetics
  • SARS-CoV-2* / genetics
  • Wastewater
  • Wastewater-Based Epidemiological Monitoring

Substances

  • Membrane Glycoproteins
  • Phosphoproteins
  • Polyproteins
  • RNA, Viral
  • Waste Water

Supplementary concepts

  • SARS-CoV-2 variants