SARS-CoV-2 Monitoring in Wastewater Reveals Novel Variants and Biomarkers of Infection

Jenna McGowan; Monica Borucki; Hicham Omairi; Merina Varghese; Shahnaz Vellani; Sukanya Chakravarty; Shumin Fan; Srestha Chattopadhyay; Mashuk Siddiquee; James B. Thissen; Nisha Mulakken; Joseph Moon; Jeffrey Kimbrel; Amit K. Tiwari; Roger Travis Taylor; Dae Wook Kang; Crystal Jaing; Ritu Chakravarti; Saurabh Chattopadhyay

doi:10.3390/v14092032

SARS-CoV-2 Monitoring in Wastewater Reveals Novel Variants and Biomarkers of Infection

Jenna McGowan, Monica Borucki, Hicham Omairi, Merina Varghese, Shahnaz Vellani, Sukanya Chakravarty, Shumin Fan, Srestha Chattopadhyay, Mashuk Siddiquee, James B. Thissen, Nisha Mulakken, Joseph Moon, Jeffrey Kimbrel, Amit K. Tiwari, Roger Travis Taylor, Dae Wook Kang, Crystal Jaing, Ritu Chakravarti, Saurabh Chattopadhyay

Producción científica: Article › revisión exhaustiva

5 Citas (Scopus)

Resumen

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.

Idioma original	English
Número de artículo	2032
Publicación	Viruses
Volumen	14
N.º	9
DOI	https://doi.org/10.3390/v14092032
Estado	Published - sept 2022

Nota bibliográfica

Publisher Copyright:
© 2022 by the authors.

Financiación

This research was funded partially by the Ohio EPA (OSU-FDCARES20, to S.C. (Saurabh Chattopadhyay), R.C., D.-W.K., and R.T.T.); a CDC grant through the Ohio Department of Health (NU50CK000543-02-11, to S.C. (Saurabh Chattopadhyay), R.C., D.-W.K., and R.T.T.); the National Institutes of Health grants AI155545 (to S.C. (Saurabh Chattopadhyay)), AI165521 (to S.C. (Saurabh Chattopadhyay)), and AI153496 (to R.T.T.); the Medical Research Society (to S.C. (Saurabh Chattopadhyay)); the University of Toledo (to S.C. (Saurabh Chattopadhyay), R.C., R.T.T., and D.-W.K.); and the Lawrence Livermore National Laboratory’s internal funding (to M.B., J.B.T., N.M., J.M. (Joseph Moon), J.K., and C.J.).

Financiadores	Número del financiador
National Society of Medical Research
National Institutes of Health (NIH)	AI153496, AI155545
Centers for Disease Control and Prevention
National Institute of Allergy and Infectious Diseases	R01AI165521
Ohio Environmental Protection Agency	OSU-FDCARES20
Lawrence Livermore National Laboratory
Department of Mathematics and Statistics, University of Toledo, Toledo, OH
Ohio Department of Health	NU50CK000543-02-11

ASJC Scopus subject areas

Infectious Diseases
Virology

ODS de las Naciones Unidas

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McGowan, J., Borucki, M., Omairi, H., Varghese, M., Vellani, S., Chakravarty, S., Fan, S., Chattopadhyay, S., Siddiquee, M., Thissen, J. B., Mulakken, N., Moon, J., Kimbrel, J., Tiwari, A. K., Taylor, R. T., Kang, D. W., Jaing, C., Chakravarti, R., & Chattopadhyay, S. (2022). SARS-CoV-2 Monitoring in Wastewater Reveals Novel Variants and Biomarkers of Infection. Viruses, 14(9), Artículo 2032. https://doi.org/10.3390/v14092032

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title = "SARS-CoV-2 Monitoring in Wastewater Reveals Novel Variants and Biomarkers of Infection",

abstract = "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.",

keywords = "biomarkers, COVID-19, SARS-CoV-2, surveillance, wastewater-based epidemiology",

author = "Jenna McGowan and Monica Borucki and Hicham Omairi and Merina Varghese and Shahnaz Vellani and Sukanya Chakravarty and Shumin Fan and Srestha Chattopadhyay and Mashuk Siddiquee and Thissen, \{James B.\} and Nisha Mulakken and Joseph Moon and Jeffrey Kimbrel and Tiwari, \{Amit K.\} and Taylor, \{Roger Travis\} and Kang, \{Dae Wook\} and Crystal Jaing and Ritu Chakravarti and Saurabh Chattopadhyay",

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McGowan, J, Borucki, M, Omairi, H, Varghese, M, Vellani, S, Chakravarty, S, Fan, S, Chattopadhyay, S, Siddiquee, M, Thissen, JB, Mulakken, N, Moon, J, Kimbrel, J, Tiwari, AK, Taylor, RT, Kang, DW, Jaing, C, Chakravarti, R & Chattopadhyay, S 2022, 'SARS-CoV-2 Monitoring in Wastewater Reveals Novel Variants and Biomarkers of Infection', Viruses, vol. 14, n.º 9, 2032. https://doi.org/10.3390/v14092032

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

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

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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 -

SARS-CoV-2 Monitoring in Wastewater Reveals Novel Variants and Biomarkers of Infection

Resumen

Nota bibliográfica

Financiación

ASJC Scopus subject areas

ODS de las Naciones Unidas

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