Evidence map›Paper›PMID 40489546›Full record

ArticlePLoS pathogens2025

Detecting SARS-CoV-2 cryptic lineages using publicly available whole genome wastewater sequencing data.

Reinier Suarez, Devon A Gregory, David A Baker, Clayton A Rushford, Torin L Hunter, Nicholas R Minor, Clayton M Russ, Emma E Copen, David H O'Connor, Marc C Johnson

Abstract read
In one paragraph

Article in PLoS pathogens, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Reinier SuarezDepartment of Molecular Microbiology and Immunology, University of Missouri-School of Medicine, Columbia, Missouri, United States of America.ORCID 0000-0002-6068-6046
Devon A GregoryDepartment of Molecular Microbiology and Immunology, University of Missouri-School of Medicine, Columbia, Missouri, United States of America.
David A BakerDepartment of Pathology and Laboratory Medicine, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.
Clayton A RushfordDepartment of Molecular Microbiology and Immunology, University of Missouri-School of Medicine, Columbia, Missouri, United States of America.
Torin L HunterDepartment of Molecular Microbiology and Immunology, University of Missouri-School of Medicine, Columbia, Missouri, United States of America.
Nicholas R MinorDepartment of Pathology and Laboratory Medicine, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.
Clayton M RussDepartment of Molecular Microbiology and Immunology, University of Missouri-School of Medicine, Columbia, Missouri, United States of America.
Emma E CopenDepartment of Molecular Microbiology and Immunology, University of Missouri-School of Medicine, Columbia, Missouri, United States of America.
David H O'ConnorDepartment of Pathology and Laboratory Medicine, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.
Marc C JohnsonDepartment of Molecular Microbiology and Immunology, University of Missouri-School of Medicine, Columbia, Missouri, United States of America.ORCID 0000-0002-6431-7133

Funding

NIAID Centers of Excellence for Influenza Research and Response: Universal Influenza Vaccine Research Activities75N93021C00045 · NIAID · JOHNS HOPKINS UNIVERSITY · PI PEKOSZ, ANDREW · 2021 to 2025
$23.3M
NIH HHS 75N93021C00045
6 · The paper itself

Abstract

Beginning in early 2021, unique and highly divergent lineages of SARS-CoV-2 were sporadically found in wastewater sewersheds using a sequencing strategy focused on amplifying the most rapidly evolving region of SARS-CoV-2, the receptor binding domain (RBD). Because these RBD sequences did not match known circulating strains and their source was not known, we termed them "cryptic lineages". To date, more than 20 cryptic lineages have been identified using the RBD-focused sequencing strategy. Here, we identified and characterized additional cryptic lineages from SARS-CoV-2 wastewater sequences submitted to NCBI's Sequence Read Archives (SRA). Wastewater sequence datasets were screened for individual sequence reads that contained combinations of mutations frequently found in cryptic lineages but not contemporary circulating lineages. Using this method, we identified 18 cryptic lineages that appeared in multiple (2-81) samples from the same sewershed, including 12 that were not previously reported. Partial consensus sequences were generated for each cryptic lineage by extracting and mapping sequences containing cryptic-specific mutations. Surprisingly, seven of the mutations that appeared convergently in cryptic lineages were reversions to sequences that were highly conserved in SARS-CoV-2-related enteric bat Sarbecoviruses. The apparent reversion to bat Sarbecovirus sequences is consistent with the notion that SARS-CoV-2 adaptation to replicate efficiently in respiratory tissues preceded the COVID-19 pandemic.

Indexed as

COVID-19Genome, ViralSARS-CoV-2WastewaterHumansMutationPhylogenySpike Glycoprotein, CoronavirusWhole Genome SequencingSpike Glycoprotein, CoronavirusWastewater

Identifiers

PMID40489546
PMCPMC12176291

What OpenQuestion holds

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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.