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Barcoded microbial system for high-resolution object provenance

  • Jason Qian
  • , Zhi Xiang Lu
  • , Christopher P. Mancuso
  • , Han Ying Jhuang
  • , Rocío del Carmen Barajas-Ornelas
  • , Sarah A. Boswell
  • , Fernando H. Ramírez-Guadiana
  • , Victoria Jones
  • , Akhila Sonti
  • , Kole Sedlack
  • , Lior Artzi
  • , Giyoung Jung
  • , Mohammad Arammash
  • , Mary E. Pettit
  • , Michael Melfi
  • , Lorena Lyon
  • , Siân V. Owen
  • , Michael Baym
  • , Ahmad S. Khalil
  • , Pamela A. Silver
  • David Z. Rudner, Michael Springer

Research output: Contribution to journalArticlepeer-review

Abstract

Determining where an object has been is a fundamental challenge for human health, commerce, and food safety. Location-specific microbes in principle offer a cheap and sensitive way to determine object provenance. We created a synthetic, scalable microbial spore system that identifies object provenance in under 1 hour at meter-scale resolution and near single-spore sensitivity and can be safely introduced into and recovered from the environment. This system solves the key challenges in object provenance: persistence in the environment, scalability, rapid and facile decoding, and biocontainment. Our system is compatible with SHERLOCK, a Cas13a RNA-guided nucleic acid detection assay, facilitating its implementation in a wide range of applications.

Original languageEnglish
Pages (from-to)1135-1140
Number of pages6
JournalScience
Volume368
Issue number6495
DOIs
Publication statusPublished - Jun 5 2020
Externally publishedYes

ASJC Scopus subject areas

  • General

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