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Virus-like DNA tracers for characterizing wastewater-based pathogen monitoring systems

Anjali Gopal, View ORCID ProfileAri N. Machtinger, View ORCID ProfileBrian Wang, View ORCID ProfileDaniel P. Rice, William J. Bradshaw, View ORCID ProfileMichael R. McLaren, View ORCID ProfileKevin M. Esvelt
doi: https://doi.org/10.1101/2023.12.24.573197
Anjali Gopal
1Media Laboratory, Massachusetts Institute of Technology, Cambridge, United States
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Ari N. Machtinger
1Media Laboratory, Massachusetts Institute of Technology, Cambridge, United States
2SecureBio, Cambridge, United States
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Brian Wang
1Media Laboratory, Massachusetts Institute of Technology, Cambridge, United States
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Daniel P. Rice
1Media Laboratory, Massachusetts Institute of Technology, Cambridge, United States
2SecureBio, Cambridge, United States
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William J. Bradshaw
1Media Laboratory, Massachusetts Institute of Technology, Cambridge, United States
2SecureBio, Cambridge, United States
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Michael R. McLaren
1Media Laboratory, Massachusetts Institute of Technology, Cambridge, United States
2SecureBio, Cambridge, United States
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  • For correspondence: mike@securebio.org esvelt@mit.edu
Kevin M. Esvelt
1Media Laboratory, Massachusetts Institute of Technology, Cambridge, United States
2SecureBio, Cambridge, United States
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  • ORCID record for Kevin M. Esvelt
  • For correspondence: mike@securebio.org esvelt@mit.edu
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Abstract

Wastewater-based pathogen monitoring has recently become a ubiquitous method for tracking the abundance and evolution of pathogens in a community or port of entry. But accurate inference of disease incidence from wastewater remains challenging, in large part due to noise and bias arising from wastewater transport and measurement. We developed a new system of tracer particles designed to enhance wastewater monitoring of viral pathogens. These tracers, which consist of synthetic DNA barcodes packaged into non-infectious viral capsids, can be deposited at known amounts and times into the sewer system and measured in wastewater samples to assess features such as assay sensitivity, and the decay and delay in viral signal arising from a shedding event. Here we describe the design, construction, and initial characterization of a 25-plex tracer library. Our tracer library supports simultaneous measurement of up to 5 distinct tracers by qPCR and up to 25 distinct tracers by amplicon or metagenomic sequencing. We demonstrate experimentally that the tracers are biologically inert and exhibit good stability and qPCR-assay performance in wastewater. These features collectively suggest that barcoded, virus-like tracers have the required properties for high-accuracy, high-resolution characterization of wastewater monitoring systems.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • https://github.com/naobservatory/phagemid-tracers

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.
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Posted December 25, 2023.
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Virus-like DNA tracers for characterizing wastewater-based pathogen monitoring systems
Anjali Gopal, Ari N. Machtinger, Brian Wang, Daniel P. Rice, William J. Bradshaw, Michael R. McLaren, Kevin M. Esvelt
bioRxiv 2023.12.24.573197; doi: https://doi.org/10.1101/2023.12.24.573197
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Virus-like DNA tracers for characterizing wastewater-based pathogen monitoring systems
Anjali Gopal, Ari N. Machtinger, Brian Wang, Daniel P. Rice, William J. Bradshaw, Michael R. McLaren, Kevin M. Esvelt
bioRxiv 2023.12.24.573197; doi: https://doi.org/10.1101/2023.12.24.573197

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