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Wastewater sequencing reveals community and variant dynamics of the collective human virome

Author

Listed:
  • Michael Tisza

    (Baylor College of Medicine
    Baylor College of Medicine)

  • Sara Javornik Cregeen

    (Baylor College of Medicine
    Baylor College of Medicine)

  • Vasanthi Avadhanula

    (Baylor College of Medicine)

  • Ping Zhang

    (Baylor College of Medicine
    Baylor College of Medicine)

  • Tulin Ayvaz

    (Baylor College of Medicine
    Baylor College of Medicine)

  • Karen Feliz

    (Baylor College of Medicine)

  • Kristi L. Hoffman

    (Baylor College of Medicine
    Baylor College of Medicine)

  • Justin R. Clark

    (Baylor College of Medicine
    TAILOR Labs, Baylor College of Medicine)

  • Austen Terwilliger

    (Baylor College of Medicine
    TAILOR Labs, Baylor College of Medicine)

  • Matthew C. Ross

    (Baylor College of Medicine
    Baylor College of Medicine)

  • Juwan Cormier

    (Baylor College of Medicine
    Baylor College of Medicine)

  • Hannah Moreno

    (Baylor College of Medicine
    Baylor College of Medicine)

  • Li Wang

    (Baylor College of Medicine
    Baylor College of Medicine)

  • Katelyn Payne

    (Baylor College of Medicine
    Baylor College of Medicine)

  • David Henke

    (Baylor College of Medicine)

  • Catherine Troisi

    (University of Texas Health Science Center at Houston)

  • Fuqing Wu

    (University of Texas Health Science Center at Houston
    Texas Epidemiologic Public Health Institute (TEPHI)
    UTHealth Houston School of Public Health)

  • Janelle Rios

    (University of Texas Health Science Center at Houston
    Texas Epidemiologic Public Health Institute (TEPHI))

  • Jennifer Deegan

    (University of Texas Health Science Center at Houston
    Texas Epidemiologic Public Health Institute (TEPHI))

  • Blake Hansen

    (University of Texas Health Science Center at Houston
    Texas Epidemiologic Public Health Institute (TEPHI)
    UTHealth Houston School of Public Health)

  • John Balliew

    (El Paso Water Utility)

  • Anna Gitter

    (University of Texas Health Science Center at Houston
    Texas Epidemiologic Public Health Institute (TEPHI)
    UTHealth Houston School of Public Health)

  • Kehe Zhang

    (University of Texas Health Science Center at Houston
    UTHealth Houston School of Public Health
    UTHealth Houston School of Public Health)

  • Runze Li

    (University of Texas Health Science Center at Houston
    UTHealth Houston School of Public Health
    UTHealth Houston School of Public Health)

  • Cici X. Bauer

    (University of Texas Health Science Center at Houston
    Texas Epidemiologic Public Health Institute (TEPHI)
    UTHealth Houston School of Public Health
    UTHealth Houston School of Public Health)

  • Kristina D. Mena

    (University of Texas Health Science Center at Houston
    Texas Epidemiologic Public Health Institute (TEPHI)
    UTHealth Houston School of Public Health)

  • Pedro A. Piedra

    (Baylor College of Medicine
    Baylor College of Medicine)

  • Joseph F. Petrosino

    (Baylor College of Medicine
    Baylor College of Medicine)

  • Eric Boerwinkle

    (University of Texas Health Science Center at Houston
    Texas Epidemiologic Public Health Institute (TEPHI)
    UTHealth Houston School of Public Health)

  • Anthony W. Maresso

    (Baylor College of Medicine
    TAILOR Labs, Baylor College of Medicine)

Abstract

Wastewater is a discarded human by-product, but its analysis may help us understand the health of populations. Epidemiologists first analyzed wastewater to track outbreaks of poliovirus decades ago, but so-called wastewater-based epidemiology was reinvigorated to monitor SARS-CoV-2 levels while bypassing the difficulties and pit falls of individual testing. Current approaches overlook the activity of most human viruses and preclude a deeper understanding of human virome community dynamics. Here, we conduct a comprehensive sequencing-based analysis of 363 longitudinal wastewater samples from ten distinct sites in two major cities. Critical to detection is the use of a viral probe capture set targeting thousands of viral species or variants. Over 450 distinct pathogenic viruses from 28 viral families are observed, most of which have never been detected in such samples. Sequencing reads of established pathogens and emerging viruses correlate to clinical data sets of SARS-CoV-2, influenza virus, and monkeypox viruses, outlining the public health utility of this approach. Viral communities are tightly organized by space and time. Finally, the most abundant human viruses yield sequence variant information consistent with regional spread and evolution. We reveal the viral landscape of human wastewater and its potential to improve our understanding of outbreaks, transmission, and its effects on overall population health.

Suggested Citation

  • 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.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-42064-1
    DOI: 10.1038/s41467-023-42064-1
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    References listed on IDEAS

    as
    1. 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.
    2. Smruthi Karthikeyan & Joshua I. Levy & Peter Hoff & Greg Humphrey & Amanda Birmingham & Kristen Jepsen & Sawyer Farmer & Helena M. Tubb & Tommy Valles & Caitlin E. Tribelhorn & Rebecca Tsai & Stefan A, 2022. "Wastewater sequencing reveals early cryptic SARS-CoV-2 variant transmission," Nature, Nature, vol. 609(7925), pages 101-108, September.
    Full references (including those not matched with items on IDEAS)

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