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      RNA Viromics of Southern California Wastewater and Detection of SARS-CoV-2 Single-Nucleotide Variants

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          ABSTRACT

          Municipal wastewater provides an integrated sample of a diversity of human-associated microbes across a sewershed, including viruses. Wastewater-based epidemiology (WBE) is a promising strategy to detect pathogens and may serve as an early warning system for disease outbreaks. Notably, WBE has garnered substantial interest during the coronavirus disease 2019 (COVID-19) pandemic to track disease burden through analyses of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA. Throughout the COVID-19 outbreak, tracking SARS-CoV-2 in wastewater has been an important tool for understanding the spread of the virus. Unlike traditional sequencing of SARS-CoV-2 isolated from clinical samples, which adds testing burden to the health care system, in this study, metatranscriptomics was used to sequence virus directly from wastewater. Here, we present a study in which we explored RNA viral diversity through sequencing 94 wastewater influent samples across seven wastewater treatment plants (WTPs), collected from August 2020 to January 2021, representing approximately 16 million people in Southern California. Enriched viral libraries identified a wide diversity of RNA viruses that differed between WTPs and over time, with detected viruses including coronaviruses, influenza A, and noroviruses. Furthermore, single-nucleotide variants (SNVs) of SARS-CoV-2 were identified in wastewater, and we measured proportions of overall virus and SNVs across several months. We detected several SNVs that are markers for clinically important SARS-CoV-2 variants along with SNVs of unknown function, prevalence, or epidemiological consequence. Our study shows the potential of WBE to detect viruses in wastewater and to track the diversity and spread of viral variants in urban and suburban locations, which may aid public health efforts to monitor disease outbreaks.

          IMPORTANCE Wastewater-based epidemiology (WBE) can detect pathogens across sewersheds, which represents the collective waste of human populations. As there is a wide diversity of RNA viruses in wastewater, monitoring the presence of these viruses is useful for public health, industry, and ecological studies. Specific to public health, WBE has proven valuable during the coronavirus disease 2019 (COVID-19) pandemic to track the spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) without adding burden to health care systems. In this study, we used metatranscriptomics and reverse transcription-droplet digital PCR (RT-ddPCR) to assay RNA viruses across Southern California wastewater from August 2020 to January 2021, representing approximately 16 million people from Los Angeles, Orange, and San Diego counties. We found that SARS-CoV-2 quantification in wastewater correlates well with county-wide COVID-19 case data, and that we can detect SARS-CoV-2 single-nucleotide variants through sequencing. Likewise, wastewater treatment plants (WTPs) harbored different viromes, and we detected other human pathogens, such as noroviruses and adenoviruses, furthering our understanding of wastewater viral ecology.

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          Most cited references80

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          The Sequence Alignment/Map format and SAMtools

          Summary: The Sequence Alignment/Map (SAM) format is a generic alignment format for storing read alignments against reference sequences, supporting short and long reads (up to 128 Mbp) produced by different sequencing platforms. It is flexible in style, compact in size, efficient in random access and is the format in which alignments from the 1000 Genomes Project are released. SAMtools implements various utilities for post-processing alignments in the SAM format, such as indexing, variant caller and alignment viewer, and thus provides universal tools for processing read alignments. Availability: http://samtools.sourceforge.net Contact: rd@sanger.ac.uk
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            Fast gapped-read alignment with Bowtie 2.

            As the rate of sequencing increases, greater throughput is demanded from read aligners. The full-text minute index is often used to make alignment very fast and memory-efficient, but the approach is ill-suited to finding longer, gapped alignments. Bowtie 2 combines the strengths of the full-text minute index with the flexibility and speed of hardware-accelerated dynamic programming algorithms to achieve a combination of high speed, sensitivity and accuracy.
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              Is Open Access

              BEDTools: a flexible suite of utilities for comparing genomic features

              Motivation: Testing for correlations between different sets of genomic features is a fundamental task in genomics research. However, searching for overlaps between features with existing web-based methods is complicated by the massive datasets that are routinely produced with current sequencing technologies. Fast and flexible tools are therefore required to ask complex questions of these data in an efficient manner. Results: This article introduces a new software suite for the comparison, manipulation and annotation of genomic features in Browser Extensible Data (BED) and General Feature Format (GFF) format. BEDTools also supports the comparison of sequence alignments in BAM format to both BED and GFF features. The tools are extremely efficient and allow the user to compare large datasets (e.g. next-generation sequencing data) with both public and custom genome annotation tracks. BEDTools can be combined with one another as well as with standard UNIX commands, thus facilitating routine genomics tasks as well as pipelines that can quickly answer intricate questions of large genomic datasets. Availability and implementation: BEDTools was written in C++. Source code and a comprehensive user manual are freely available at http://code.google.com/p/bedtools Contact: aaronquinlan@gmail.com; imh4y@virginia.edu Supplementary information: Supplementary data are available at Bioinformatics online.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                Appl Environ Microbiol
                Appl Environ Microbiol
                AEM
                Applied and Environmental Microbiology
                American Society for Microbiology (1752 N St., N.W., Washington, DC )
                0099-2240
                1098-5336
                22 September 2021
                10 November 2021
                December 2021
                10 November 2021
                : 87
                : 23
                : e01448-21
                Affiliations
                [a ] Department of Molecular Biology and Biochemistry, University of California, Irvinegrid.266093.8, , Irvine, California, USA
                [b ] Department of Biomedical Engineering, University of California, Irvinegrid.266093.8, , Irvine, California, USA
                [c ] Southern California Coastal Water Research Projectgrid.419399.f, , Costa Mesa, California, USA
                University of Tokyo
                Author notes

                Citation Rothman JA, Loveless TB, Kapcia J, III, Adams ED, Steele JA, Zimmer-Faust AG, Langlois K, Wanless D, Griffith M, Mao L, Chokry J, Griffith JF, Whiteson KL. 2021. RNA viromics of Southern California wastewater and detection of SARS-CoV-2 single-nucleotide variants. Appl Environ Microbiol 87:e01448-21. https://doi.org/10.1128/AEM.01448-21.

                Author information
                https://orcid.org/0000-0002-4848-8901
                https://orcid.org/0000-0002-5423-6014
                Article
                01448-21 aem.01448-21
                10.1128/AEM.01448-21
                8579973
                34550753
                57c521bc-e2b7-4753-90ac-f1a468b85b45
                Copyright © 2021 American Society for Microbiology.

                All Rights Reserved.

                This article is made available via the PMC Open Access Subset for unrestricted noncommercial re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.

                History
                : 22 July 2021
                : 14 September 2021
                Page count
                Figures: 6, Tables: 0, Equations: 0, References: 81, Pages: 15, Words: 8571
                Funding
                Funded by: University of California Office of the President Research Grants Program Office;
                Award ID: R01RG3732
                Award Recipient : Award Recipient : Award Recipient :
                Funded by: University of California Office of the President Research Grants Program Office;
                Award ID: R00RG2814
                Award Recipient : Award Recipient : Award Recipient :
                Funded by: Hewitt Foundation for Biomedical Research;
                Award Recipient :
                Categories
                Public and Environmental Health Microbiology
                spotlight-selection, Spotlight Selection
                microbial-ecology, Microbial Ecology
                Spotlight
                Custom metadata
                December 2021
                free

                Microbiology & Virology
                covid-19,coronavirus,microbial ecology,sars-cov-2,viruses,wastewater
                Microbiology & Virology
                covid-19, coronavirus, microbial ecology, sars-cov-2, viruses, wastewater

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