TY - JOUR
T1 - SARS-CoV-2 Monitoring in Wastewater Reveals Novel Variants and Biomarkers of Infection
AU - McGowan, Jenna
AU - Borucki, Monica
AU - Omairi, Hicham
AU - Varghese, Merina
AU - Vellani, Shahnaz
AU - Chakravarty, Sukanya
AU - Fan, Shumin
AU - Chattopadhyay, Srestha
AU - Siddiquee, Mashuk
AU - Thissen, James B.
AU - Mulakken, Nisha
AU - Moon, Joseph
AU - Kimbrel, Jeffrey
AU - Tiwari, Amit K.
AU - Taylor, Roger Travis
AU - Kang, Dae Wook
AU - Jaing, Crystal
AU - Chakravarti, Ritu
AU - Chattopadhyay, Saurabh
N1 - Publisher Copyright:
© 2022 by the authors.
PY - 2022/9
Y1 - 2022/9
N2 - Wastewater-based epidemiology (WBE) is a popular tool for the early indication of community spread of infectious diseases. WBE emerged as an effective tool during the COVID-19 pandemic and has provided meaningful information to minimize the spread of infection. Here, we present a combination of analyses using the correlation of viral gene copies with clinical cases, sequencing of wastewater-derived RNA for the viral mutants, and correlative analyses of the viral gene copies with the bacterial biomarkers. Our study provides a unique platform for potentially using the WBE-derived results to predict the spread of COVID-19 and the emergence of new variants of concern. Further, we observed a strong correlation between the presence of SARS-CoV-2 and changes in the microbial community of wastewater, particularly the significant changes in bacterial genera belonging to the families of Lachnospiraceae and Actinomycetaceae. Our study shows that microbial biomarkers could be utilized as prediction tools for future infectious disease surveillance and outbreak responses. Overall, our comprehensive analyses of viral spread, variants, and novel bacterial biomarkers will add significantly to the growing body of literature on WBE and COVID-19.
AB - Wastewater-based epidemiology (WBE) is a popular tool for the early indication of community spread of infectious diseases. WBE emerged as an effective tool during the COVID-19 pandemic and has provided meaningful information to minimize the spread of infection. Here, we present a combination of analyses using the correlation of viral gene copies with clinical cases, sequencing of wastewater-derived RNA for the viral mutants, and correlative analyses of the viral gene copies with the bacterial biomarkers. Our study provides a unique platform for potentially using the WBE-derived results to predict the spread of COVID-19 and the emergence of new variants of concern. Further, we observed a strong correlation between the presence of SARS-CoV-2 and changes in the microbial community of wastewater, particularly the significant changes in bacterial genera belonging to the families of Lachnospiraceae and Actinomycetaceae. Our study shows that microbial biomarkers could be utilized as prediction tools for future infectious disease surveillance and outbreak responses. Overall, our comprehensive analyses of viral spread, variants, and novel bacterial biomarkers will add significantly to the growing body of literature on WBE and COVID-19.
KW - biomarkers
KW - COVID-19
KW - SARS-CoV-2
KW - surveillance
KW - wastewater-based epidemiology
UR - http://www.scopus.com/inward/record.url?scp=85138419115&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85138419115&partnerID=8YFLogxK
U2 - 10.3390/v14092032
DO - 10.3390/v14092032
M3 - Article
C2 - 36146835
AN - SCOPUS:85138419115
SN - 1999-4915
VL - 14
JO - Viruses
JF - Viruses
IS - 9
M1 - 2032
ER -