Evidence map›Paper›PMID 35677072›Full record

ArticlemedRxiv : the preprint server for health sciences2022

Genetic Diversity and Evolutionary Convergence of Cryptic SARS-CoV-2 Lineages Detected Via Wastewater Sequencing.

Devon A Gregory, Monica Trujillo, Clayton Rushford, Anna Flury, Sherin Kannoly, Kaung Myat San, Dustin Lyfoung, Roger W Wiseman, Karen Bromert, Ming-Yi Zhou and 10 more

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 14 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors at 9 institutions in 1 country.

Devon A GregoryDepartment of Molecular Microbiology and Immunology, University of Missouri-School of Medicine, Columbia, MO, USA.
Monica TrujilloDepartment of Biological Sciences and Geology, Queensborough Community College of The City University of New York, Queens, NY, USA.
Clayton RushfordDepartment of Molecular Microbiology and Immunology, University of Missouri-School of Medicine, Columbia, MO, USA.
Anna FluryBiology Doctoral Program, The Graduate Center of The City University of New York, NYC, NY, USA.
Sherin KannolyBiology Department, Queens College of The City University of New York, Queens, NY, USA 11367.
Kaung Myat SanBiology Department, Queens College of The City University of New York, Queens, NY, USA 11367.
Dustin LyfoungDepartment of Pathology and Laboratory Medicine, University of Wisconsin-Madison, Madison, WI, USA 53706.
Roger W WisemanDepartment of Pathology and Laboratory Medicine, University of Wisconsin-Madison, Madison, WI, USA 53706.
Karen BromertGenomics Technology Core, University of Missouri, Columbia, MO, USA.
Ming-Yi ZhouGenomics Technology Core, University of Missouri, Columbia, MO, USA.
Ellen KeslerGenomics Technology Core, University of Missouri, Columbia, MO, USA.
Nathan BivensGenomics Technology Core, University of Missouri, Columbia, MO, USA.
Jay HoskinsEnvironmental Compliance Division, Engineering Department, Metropolitan St. Louis Sewer District, St. Louis, MO, USA 63103.
Chung-Ho LinCenter of Agroforestry, School of Natural Resources, University of Missouri, Columbia, MO, USA.
David H O'ConnorDepartment of Pathology and Laboratory Medicine, University of Wisconsin-Madison, Madison, WI, USA 53706.
Chris WiebergWater Protection Program, Missouri Department of Natural Resources, Jefferson City, MO, USA.
Jeff WenzelBureau of Environmental Epidemiology, Division of Community and Public Health, Missouri Department of Health and Senior Services, Jefferson City, MO, USA.
Rose S KantorDepartment of Civil and Environmental Engineering, University of California, Berkeley, 663 Davis Hall, Berkeley, CA, USA 94720.
John J DennehyBiology Doctoral Program, The Graduate Center of The City University of New York, NYC, NY, USA.
Marc C JohnsonDepartment of Molecular Microbiology and Immunology, University of Missouri-School of Medicine, Columbia, MO, USA.
University of Missouri · USQueens College, CUNY · USUniversity of Wisconsin–Madison · USCity University of New York · USMilwaukee Metropolitan Sewerage District · USMissouri Department of Health and Senior Services · USMissouri Department of Natural Resources · USThe Graduate Center, CUNY · USUniversity of California, Berkeley · US

Funding

Wastewater Detection of COVID-19U01DA053893 · NIDA · MISSOURI STATE DEPT/ HEALTH & SENIOR SRV · PI WENZEL, JEFF · 2021 to 2022
$4.0M
NIDA NIH HHS U01 DA053893
6 · The paper itself

Abstract

Wastewater-based epidemiology (WBE) is an effective way of tracking the appearance and spread of SARS-COV-2 lineages through communities. Beginning in early 2021, we implemented a targeted approach to amplify and sequence the receptor binding domain (RBD) of SARS-COV-2 to characterize viral lineages present in sewersheds. Over the course of 2021, we reproducibly detected multiple SARS-COV-2 RBD lineages that have never been observed in patient samples in 9 sewersheds located in 3 states in the USA. These cryptic lineages contained between 4 to 24 amino acid substitutions in the RBD and were observed intermittently in the sewersheds in which they were found for as long as 14 months. Many of the amino acid substitutions in these lineages occurred at residues also mutated in the Omicron variant of concern (VOC), often with the same substitution. One of the sewersheds contained a lineage that appeared to be derived from the Alpha VOC, but the majority of the lineages appeared to be derived from pre-VOC SARS-COV-2 lineages. Specifically, several of the cryptic lineages from New York City appeared to be derived from a common ancestor that most likely diverged in early 2020. While the source of these cryptic lineages has not been resolved, it seems increasingly likely that they were derived from immunocompromised patients or animal reservoirs. Our findings demonstrate that SARS-COV-2 genetic diversity is greater than what is commonly observed through routine SARS-CoV-2 surveillance. Wastewater sampling may more fully capture SARS-CoV-2 genetic diversity than patient sampling and could reveal new VOCs before they emerge in the wider human population. Author Summary: During the COVID-19 pandemic, wastewater-based epidemiology has become an effective public health tool. Because many infected individuals shed SARS-CoV-2 in feces, wastewater has been monitored to reveal infection trends in the sewersheds from which the samples were derived. Here we report novel SARS-CoV-2 lineages in wastewater samples obtained from 3 different states in the USA. These lineages appeared in specific sewersheds intermittently over periods of up to 14 months, but generally have not been detected beyond the sewersheds in which they were initially found. Many of these lineages may have diverged in early 2020. Although these lineages share considerable overlap with each other, they have never been observed in patients anywhere in the world. While the wastewater lineages have similarities with lineages observed in long-term infections of immunocompromised patients, animal reservoirs cannot be ruled out as a potential source.

Identifiers

PMID35677072
PMCPMC9176656
OpenAlexW4281654648

What OpenQuestion holds

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LicenceCC BY-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.