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Tracking cryptic SARS-CoV-2 lineages detected in NYC wastewater

Author

Listed:
  • Davida S. Smyth

    (Texas A&M University-San Antonio)

  • Monica Trujillo

    (Queensborough Community College of The City University of New York)

  • Devon A. Gregory

    (University of Missouri-School of Medicine)

  • Kristen Cheung

    (Queens College and The Graduate Center of The City University of New York)

  • Anna Gao

    (Queens College and The Graduate Center of The City University of New York)

  • Maddie Graham

    (University of Missouri-School of Medicine)

  • Yue Guan

    (University of Missouri-School of Medicine)

  • Caitlyn Guldenpfennig

    (University of Missouri-School of Medicine)

  • Irene Hoxie

    (Queens College and The Graduate Center of The City University of New York)

  • Sherin Kannoly

    (Queens College and The Graduate Center of The City University of New York)

  • Nanami Kubota

    (Queens College and The Graduate Center of The City University of New York)

  • Terri D. Lyddon

    (University of Missouri-School of Medicine)

  • Michelle Markman

    (Queens College and The Graduate Center of The City University of New York)

  • Clayton Rushford

    (University of Missouri-School of Medicine)

  • Kaung Myat San

    (Queens College and The Graduate Center of The City University of New York)

  • Geena Sompanya

    (Texas A&M University-San Antonio)

  • Fabrizio Spagnolo

    (Long Island University–Post, Greenvale)

  • Reinier Suarez

    (University of Missouri-School of Medicine)

  • Emma Teixeiro

    (University of Missouri-School of Medicine)

  • Mark Daniels

    (University of Missouri-School of Medicine)

  • Marc C. Johnson

    (University of Missouri-School of Medicine)

  • John J. Dennehy

    (Queens College and The Graduate Center of The City University of New York)

Abstract

Tracking SARS-CoV-2 genetic diversity is strongly indicated because diversifying selection may lead to the emergence of novel variants resistant to naturally acquired or vaccine-induced immunity. To monitor New York City (NYC) for the presence of novel variants, we deep sequence most of the receptor binding domain coding sequence of the S protein of SARS-CoV-2 isolated from the New York City wastewater. Here we report detecting increasing frequencies of novel cryptic SARS-CoV-2 lineages not recognized in GISAID’s EpiCoV database. These lineages contain mutations that had been rarely observed in clinical samples, including Q493K, Q498Y, E484A, and T572N and share many mutations with the Omicron variant of concern. Some of these mutations expand the tropism of SARS-CoV-2 pseudoviruses by allowing infection of cells expressing the human, mouse, or rat ACE2 receptor. Finally, pseudoviruses containing the spike amino acid sequence of these lineages were resistant to different classes of receptor binding domain neutralizing monoclonal antibodies. We offer several hypotheses for the anomalous presence of these lineages, including the possibility that these lineages are derived from unsampled human COVID-19 infections or that they indicate the presence of a non-human animal reservoir.

Suggested Citation

  • Davida S. Smyth & Monica Trujillo & Devon A. Gregory & Kristen Cheung & Anna Gao & Maddie Graham & Yue Guan & Caitlyn Guldenpfennig & Irene Hoxie & Sherin Kannoly & Nanami Kubota & Terri D. Lyddon & M, 2022. "Tracking cryptic SARS-CoV-2 lineages detected in NYC wastewater," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-28246-3
    DOI: 10.1038/s41467-022-28246-3
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    Cited by:

    1. Braden T. Tierney & Jonathan Foox & Krista A. Ryon & Daniel Butler & Namita Damle & Benjamin G. Young & Christopher Mozsary & Kristina M. Babler & Xue Yin & Yamina Carattini & David Andrews & Alexande, 2024. "Towards geospatially-resolved public-health surveillance via wastewater sequencing," Nature Communications, Nature, vol. 15(1), pages 1-18, December.
    2. Michael Tisza & Sara Javornik Cregeen & Vasanthi Avadhanula & Ping Zhang & Tulin Ayvaz & Karen Feliz & Kristi L. Hoffman & Justin R. Clark & Austen Terwilliger & Matthew C. Ross & Juwan Cormier & Hann, 2023. "Wastewater sequencing reveals community and variant dynamics of the collective human virome," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    3. Yunxi Liu & Nicolae Sapoval & Pilar Gallego-García & Laura Tomás & David Posada & Todd J. Treangen & Lauren B. Stadler, 2024. "Crykey: Rapid identification of SARS-CoV-2 cryptic mutations in wastewater," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    4. Mukhlid Yousif & Said Rachida & Setshaba Taukobong & Nkosenhle Ndlovu & Chinwe Iwu-Jaja & Wayne Howard & Shelina Moonsamy & Nompilo Mhlambi & Sipho Gwala & Joshua I. Levy & Kristian G. Andersen & Cath, 2023. "SARS-CoV-2 genomic surveillance in wastewater as a model for monitoring evolution of endemic viruses," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    5. Kayla G. Barnes & Joshua I. Levy & Jillian Gauld & Jonathan Rigby & Oscar Kanjerwa & Christopher B. Uzzell & Chisomo Chilupsya & Catherine Anscombe & Christopher Tomkins-Tinch & Omar Mbeti & Edward Ca, 2023. "Utilizing river and wastewater as a SARS-CoV-2 surveillance tool in settings with limited formal sewage systems," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    6. Mitchell D. Ramuta & Christina M. Newman & Savannah F. Brakefield & Miranda R. Stauss & Roger W. Wiseman & Amanda Kita-Yarbro & Eli J. O’Connor & Neeti Dahal & Ailam Lim & Keith P. Poulsen & Nasia Saf, 2022. "SARS-CoV-2 and other respiratory pathogens are detected in continuous air samples from congregate settings," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    7. Nicolae Sapoval & Yunxi Liu & Esther G. Lou & Loren Hopkins & Katherine B. Ensor & Rebecca Schneider & Lauren B. Stadler & Todd J. Treangen, 2023. "Enabling accurate and early detection of recently emerged SARS-CoV-2 variants of concern in wastewater," Nature Communications, Nature, vol. 14(1), pages 1-7, December.
    8. Denis Mongin & Nils Bürgisser & Gustavo Laurie & Guillaume Schimmel & Diem-Lan Vu & Stephane Cullati & Delphine Sophie Courvoisier, 2023. "Effect of SARS-CoV-2 prior infection and mRNA vaccination on contagiousness and susceptibility to infection," Nature Communications, Nature, vol. 14(1), pages 1-13, December.

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