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SARS-CoV-2 Monitoring in Wastewater Reveals Novel Variants and Biomarkers of Infection
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 anal...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9503862/ https://www.ncbi.nlm.nih.gov/pubmed/36146835 http://dx.doi.org/10.3390/v14092032 |
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author | McGowan, Jenna Borucki, Monica Omairi, Hicham Varghese, Merina Vellani, Shahnaz Chakravarty, Sukanya Fan, Shumin Chattopadhyay, Srestha Siddiquee, Mashuk Thissen, James B. Mulakken, Nisha Moon, Joseph Kimbrel, Jeffrey Tiwari, Amit K. Taylor, Roger Travis Kang, Dae-Wook Jaing, Crystal Chakravarti, Ritu Chattopadhyay, Saurabh |
author_facet | McGowan, Jenna Borucki, Monica Omairi, Hicham Varghese, Merina Vellani, Shahnaz Chakravarty, Sukanya Fan, Shumin Chattopadhyay, Srestha Siddiquee, Mashuk Thissen, James B. Mulakken, Nisha Moon, Joseph Kimbrel, Jeffrey Tiwari, Amit K. Taylor, Roger Travis Kang, Dae-Wook Jaing, Crystal Chakravarti, Ritu Chattopadhyay, Saurabh |
author_sort | McGowan, Jenna |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9503862 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-95038622022-09-24 SARS-CoV-2 Monitoring in Wastewater Reveals Novel Variants and Biomarkers of Infection McGowan, Jenna Borucki, Monica Omairi, Hicham Varghese, Merina Vellani, Shahnaz Chakravarty, Sukanya Fan, Shumin Chattopadhyay, Srestha Siddiquee, Mashuk Thissen, James B. Mulakken, Nisha Moon, Joseph Kimbrel, Jeffrey Tiwari, Amit K. Taylor, Roger Travis Kang, Dae-Wook Jaing, Crystal Chakravarti, Ritu Chattopadhyay, Saurabh Viruses Article 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. MDPI 2022-09-13 /pmc/articles/PMC9503862/ /pubmed/36146835 http://dx.doi.org/10.3390/v14092032 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article McGowan, Jenna Borucki, Monica Omairi, Hicham Varghese, Merina Vellani, Shahnaz Chakravarty, Sukanya Fan, Shumin Chattopadhyay, Srestha Siddiquee, Mashuk Thissen, James B. Mulakken, Nisha Moon, Joseph Kimbrel, Jeffrey Tiwari, Amit K. Taylor, Roger Travis Kang, Dae-Wook Jaing, Crystal Chakravarti, Ritu Chattopadhyay, Saurabh SARS-CoV-2 Monitoring in Wastewater Reveals Novel Variants and Biomarkers of Infection |
title | SARS-CoV-2 Monitoring in Wastewater Reveals Novel Variants and Biomarkers of Infection |
title_full | SARS-CoV-2 Monitoring in Wastewater Reveals Novel Variants and Biomarkers of Infection |
title_fullStr | SARS-CoV-2 Monitoring in Wastewater Reveals Novel Variants and Biomarkers of Infection |
title_full_unstemmed | SARS-CoV-2 Monitoring in Wastewater Reveals Novel Variants and Biomarkers of Infection |
title_short | SARS-CoV-2 Monitoring in Wastewater Reveals Novel Variants and Biomarkers of Infection |
title_sort | sars-cov-2 monitoring in wastewater reveals novel variants and biomarkers of infection |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9503862/ https://www.ncbi.nlm.nih.gov/pubmed/36146835 http://dx.doi.org/10.3390/v14092032 |
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