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


Journal

medRxiv : the preprint server for health sciences
Titre abrégé: medRxiv
Pays: United States
ID NLM: 101767986

Informations de publication

Date de publication:
03 Jun 2022
Historique:
entrez: 9 6 2022
pubmed: 10 6 2022
medline: 10 6 2022
Statut: epublish

Résumé

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. 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.

Identifiants

pubmed: 35677072
doi: 10.1101/2022.06.03.22275961
pmc: PMC9176656
pii:
doi:

Types de publication

Preprint

Langues

eng

Subventions

Organisme : NIDA NIH HHS
ID : U01 DA053893
Pays : United States

Commentaires et corrections

Type : UpdateIn

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Auteurs

Devon A Gregory (DA)

Department of Molecular Microbiology and Immunology, University of Missouri-School of Medicine, Columbia, MO, USA.

Monica Trujillo (M)

Department of Biological Sciences and Geology, Queensborough Community College of The City University of New York, Queens, NY, USA.

Clayton Rushford (C)

Department of Molecular Microbiology and Immunology, University of Missouri-School of Medicine, Columbia, MO, USA.

Anna Flury (A)

Biology Doctoral Program, The Graduate Center of The City University of New York, NYC, NY, USA.

Sherin Kannoly (S)

Biology Department, Queens College of The City University of New York, Queens, NY, USA 11367.

Kaung Myat San (KM)

Biology Department, Queens College of The City University of New York, Queens, NY, USA 11367.

Dustin Lyfoung (D)

Department of Pathology and Laboratory Medicine, University of Wisconsin-Madison, Madison, WI, USA 53706.

Roger W Wiseman (RW)

Department of Pathology and Laboratory Medicine, University of Wisconsin-Madison, Madison, WI, USA 53706.

Karen Bromert (K)

Genomics Technology Core, University of Missouri, Columbia, MO, USA.

Ming-Yi Zhou (MY)

Genomics Technology Core, University of Missouri, Columbia, MO, USA.

Ellen Kesler (E)

Genomics Technology Core, University of Missouri, Columbia, MO, USA.

Nathan Bivens (N)

Genomics Technology Core, University of Missouri, Columbia, MO, USA.

Jay Hoskins (J)

Environmental Compliance Division, Engineering Department, Metropolitan St. Louis Sewer District, St. Louis, MO, USA 63103.

Chung-Ho Lin (CH)

Center of Agroforestry, School of Natural Resources, University of Missouri, Columbia, MO, USA.

David H O'Connor (DH)

Department of Pathology and Laboratory Medicine, University of Wisconsin-Madison, Madison, WI, USA 53706.

Chris Wieberg (C)

Water Protection Program, Missouri Department of Natural Resources, Jefferson City, MO, USA.

Jeff Wenzel (J)

Bureau of Environmental Epidemiology, Division of Community and Public Health, Missouri Department of Health and Senior Services, Jefferson City, MO, USA.

Rose S Kantor (RS)

Department of Civil and Environmental Engineering, University of California, Berkeley, 663 Davis Hall, Berkeley, CA, USA 94720.

John J Dennehy (JJ)

Biology Doctoral Program, The Graduate Center of The City University of New York, NYC, NY, USA.
Biology Department, Queens College of The City University of New York, Queens, NY, USA 11367.

Marc C Johnson (MC)

Department of Molecular Microbiology and Immunology, University of Missouri-School of Medicine, Columbia, MO, USA.

Classifications MeSH