| Autor: |
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 |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
Viruses, Vol 14, Iss 9, p 2032 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
1999-4915 |
| DOI: |
10.3390/v14092032 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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