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Bacterial metatranscriptomes in wastewater can differentiate virally infected human populations
Rodolfo A. Salido; Cameron Martino; Smruthi Karthikeyan; Shi Huang; Gibraan Rahman; Antonio Gonzalez; Livia S. Zaramela; Kristen L. Beck; Shrikant Bhute; Kalen Cantrell; Anna Paola Carrieri; Sawyer Farmer; Niina Haiminen; Greg Humphrey; Ho-Cheol Kim; Laxmi Parida; R. Alexander Richter; Yoshiki Vazquez-Baeza; Karsten Zengler; Austin Swafford; Andrew Bartko; Rob Knight.
Affiliation
  • Rodolfo A. Salido; UC San Diego
  • Cameron Martino; UC San Diego
  • Smruthi Karthikeyan; UC San Diego
  • Shi Huang; UC San Diego
  • Gibraan Rahman; UC San Diego
  • Antonio Gonzalez; UC San Diego
  • Livia S. Zaramela; UC San Diego
  • Kristen L. Beck; IBM Research - Almaden
  • Shrikant Bhute; UC San Diego
  • Kalen Cantrell; UC San Diego
  • Anna Paola Carrieri; IBM Research Europe - Daresbury
  • Sawyer Farmer; UC San Diego
  • Niina Haiminen; IBM T.J Watson Research Center
  • Greg Humphrey; UC San Diego
  • Ho-Cheol Kim; IBM Research - Almaden
  • Laxmi Parida; IBM T.J Watson Research Center
  • R. Alexander Richter; UC San Diego
  • Yoshiki Vazquez-Baeza; UC San Diego
  • Karsten Zengler; UC San Diego
  • Austin Swafford; UC San Diego
  • Andrew Bartko; UC San Diego
  • Rob Knight; UC San Diego
Preprint in English | bioRxiv | ID: ppbiorxiv-481658
ABSTRACT
Monitoring wastewater samples at building-level resolution screens large populations for SARS-CoV-2, prioritizing testing and isolation efforts. Here we perform untargeted metatranscriptomics on virally-enriched wastewater samples from 10 locations on the UC San Diego campus, demonstrating that resulting bacterial taxonomic and functional profiles discriminate SARS-CoV-2 status even without direct detection of viral transcripts. Our proof-of-principle reveals emergent threats through changes in the human microbiome, suggesting new approaches for untargeted wastewater-based epidemiology.
License
cc_by_nc_nd
Full text: Available Collection: Preprints Database: bioRxiv Language: English Year: 2022 Document type: Preprint
Full text: Available Collection: Preprints Database: bioRxiv Language: English Year: 2022 Document type: Preprint
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