학술논문
Metagenomic sequencing detects human respiratory and enteric viruses in air samples collected from congregate settings.
Document Type
Article
Author
Minor, Nicholas R.; Ramuta, Mitchell D.; Stauss, Miranda R.; Harwood, Olivia E.; Brakefield, Savannah F.; Alberts, Alexandra; Vuyk, William C.; Bobholz, Max J.; Rosinski, Jenna R.; Wolf, Sydney; Lund, Madelyn; Mussa, Madison; Beversdorf, Lucas J.; Aliota, Matthew T.; O'Connor, Shelby L.; O'Connor, David H.
Source
Subject
*RHINOVIRUSES
*SARS-CoV-2
*ENTEROVIRUSES
*AIR sampling
*PUBLIC health surveillance
*RESPIRATORY syncytial virus
*METAGENOMICS
*
*
*
*
*
*
Language
ISSN
2045-2322
Abstract
Innovative methods for evaluating virus risk and spread, independent of test-seeking behavior, are needed to improve routine public health surveillance, outbreak response, and pandemic preparedness. Throughout the COVID-19 pandemic, environmental surveillance strategies, including wastewater andair sampling, have been used alongside widespread individual-based SARS-CoV-2 testing programs to provide population-level data. These environmental surveillance strategies have predominantly relied on pathogen-specific detection methods to monitor viruses through space and time. However, this provides a limited picture of the virome present in an environmental sample, leaving us blind to most circulating viruses. In this study, we explore whether pathogen-agnostic deep sequencing can expand the utility of air sampling to detect many human viruses. We show that sequence-independent single-primer amplification sequencing of nucleic acids from air samples can detect common and unexpected human respiratory and enteric viruses, including influenza virus type A and C, respiratory syncytial virus, human coronaviruses, rhinovirus, SARS-CoV-2, rotavirus, mamastrovirus, and astrovirus. [ABSTRACT FROM AUTHOR]