Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

24-hour multi-omics analysis of residential sewage reflects human activity and informs public health

Mariana Matus, View ORCID ProfileClaire Duvallet, Melissa Kido Soule, Sean M. Kearney, Noriko Endo, Newsha Ghaeli, Ilana Brito, Carlo Ratti, Elizabeth B. Kujawinski, Eric J. Alm
doi: https://doi.org/10.1101/728022
Mariana Matus
Biobot Analytics
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Claire Duvallet
Massachusetts Institute of Technology
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Claire Duvallet
Melissa Kido Soule
Woods Hole Oceanographic Institution
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Sean M. Kearney
Massachusetts Institute of Technology
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Noriko Endo
Biobot Analytics
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Newsha Ghaeli
Biobot Analytics
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Ilana Brito
Cornell University, Meinig School of Biomedical Engineering, College of Engineering
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Carlo Ratti
Massachusetts Institute of Technology, Department of Urban Studies and Planning
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Elizabeth B. Kujawinski
Woods Hole Oceanographic Institution
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Eric J. Alm
Massachusetts Institute of Technology
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: ejalm@mit.edu
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Preview PDF
Loading

Abstract

High-throughput molecular analysis of sewage is a promising tool for precision public health. Here, we combine sewer network and demographic data to identify a residential catchment for sampling, and explore the potential of applying untargeted genomics and metabolomics to sewage to collect actionable public health data. We find that wastewater sampled upstream in a residential catchment is representative of the human microbiome and metabolome, and we are able to identify glucuronidated compounds indicative of direct human excretion, which are typically degraded too quickly to be detected at treatment plants. We show that diurnal variations during 24-hour sampling can be leveraged to discriminate between biomarkers in sewage that are associated with human activity from those related to the environmental background. Finally, we putatively annotate a suite of human-associated metabolites, including pharmaceuticals, food metabolites, and biomarkers of human health and activity, suggesting that mining untargeted data derived from residential sewage can expand currently-used biomarkers with direct public health or policy relevance.

Footnotes

  • Finalize the standard confirmation process via MS2 and clarify the text (abstract and discussion).

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
Back to top
PreviousNext
Posted September 03, 2019.
Download PDF

Supplementary Material

Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
24-hour multi-omics analysis of residential sewage reflects human activity and informs public health
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
Share
24-hour multi-omics analysis of residential sewage reflects human activity and informs public health
Mariana Matus, Claire Duvallet, Melissa Kido Soule, Sean M. Kearney, Noriko Endo, Newsha Ghaeli, Ilana Brito, Carlo Ratti, Elizabeth B. Kujawinski, Eric J. Alm
bioRxiv 728022; doi: https://doi.org/10.1101/728022
Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
Citation Tools
24-hour multi-omics analysis of residential sewage reflects human activity and informs public health
Mariana Matus, Claire Duvallet, Melissa Kido Soule, Sean M. Kearney, Noriko Endo, Newsha Ghaeli, Ilana Brito, Carlo Ratti, Elizabeth B. Kujawinski, Eric J. Alm
bioRxiv 728022; doi: https://doi.org/10.1101/728022

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Genomics
Subject Areas
All Articles
  • Animal Behavior and Cognition (1537)
  • Biochemistry (2494)
  • Bioengineering (1751)
  • Bioinformatics (9712)
  • Biophysics (3923)
  • Cancer Biology (2983)
  • Cell Biology (4225)
  • Clinical Trials (135)
  • Developmental Biology (2645)
  • Ecology (4116)
  • Epidemiology (2033)
  • Evolutionary Biology (6919)
  • Genetics (5229)
  • Genomics (6528)
  • Immunology (2201)
  • Microbiology (6987)
  • Molecular Biology (2774)
  • Neuroscience (17377)
  • Paleontology (126)
  • Pathology (432)
  • Pharmacology and Toxicology (709)
  • Physiology (1064)
  • Plant Biology (2508)
  • Scientific Communication and Education (646)
  • Synthetic Biology (835)
  • Systems Biology (2695)
  • Zoology (437)