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

doi:10.1126/science.aba5584

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. SilverDavid Z. Rudner, Michael Springer

Research output: Contribution to journal › Article › peer-review

34 Citations (Scopus)

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 language	English
Pages (from-to)	1135-1140
Number of pages	6
Journal	Science
Volume	368
Issue number	6495
DOIs	https://doi.org/10.1126/science.aba5584
Publication status	Published - Jun 5 2020
Externally published	Yes

ASJC Scopus subject areas

General

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1126/science.aba5584

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Qian, J., Lu, Z. X., Mancuso, C. P., Jhuang, H. Y., del Carmen Barajas-Ornelas, R., Boswell, S. A., Ramírez-Guadiana, F. H., Jones, V., Sonti, A., Sedlack, K., Artzi, L., Jung, G., Arammash, M., Pettit, M. E., Melfi, M., Lyon, L., Owen, S. V., Baym, M., Khalil, A. S., ... Springer, M. (2020). Barcoded microbial system for high-resolution object provenance. Science, 368(6495), 1135-1140. https://doi.org/10.1126/science.aba5584

Qian, J, Lu, ZX, Mancuso, CP, Jhuang, HY, del Carmen Barajas-Ornelas, R, Boswell, SA, Ramírez-Guadiana, FH, Jones, V, Sonti, A, Sedlack, K, Artzi, L, Jung, G, Arammash, M, Pettit, ME, Melfi, M, Lyon, L, Owen, SV, Baym, M, Khalil, AS, Silver, PA, Rudner, DZ & Springer, M 2020, 'Barcoded microbial system for high-resolution object provenance', Science, vol. 368, no. 6495, pp. 1135-1140. https://doi.org/10.1126/science.aba5584

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title = "Barcoded microbial system for high-resolution object provenance",

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.",

author = "Jason Qian and Lu, {Zhi Xiang} and Mancuso, {Christopher P.} and Jhuang, {Han Ying} and {del Carmen Barajas-Ornelas}, Roc{\'i}o and Boswell, {Sarah A.} and Ram{\'i}rez-Guadiana, {Fernando H.} and Victoria Jones and Akhila Sonti and Kole Sedlack and Lior Artzi and Giyoung Jung and Mohammad Arammash and Pettit, {Mary E.} and Michael Melfi and Lorena Lyon and Owen, {Si{\^a}n V.} and Michael Baym and Khalil, {Ahmad S.} and Silver, {Pamela A.} and Rudner, {David Z.} and Michael Springer",

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AU - Qian, Jason

AU - Lu, Zhi Xiang

AU - Mancuso, Christopher P.

AU - Jhuang, Han Ying

AU - del Carmen Barajas-Ornelas, Rocío

AU - Boswell, Sarah A.

AU - Ramírez-Guadiana, Fernando H.

AU - Jones, Victoria

AU - Sonti, Akhila

AU - Sedlack, Kole

AU - Artzi, Lior

AU - Jung, Giyoung

AU - Arammash, Mohammad

AU - Pettit, Mary E.

AU - Melfi, Michael

AU - Lyon, Lorena

AU - Owen, Siân V.

AU - Baym, Michael

AU - Khalil, Ahmad S.

AU - Silver, Pamela A.

AU - Rudner, David Z.

AU - Springer, Michael

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Y1 - 2020/6/5

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AB - 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.

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Barcoded microbial system for high-resolution object provenance

Abstract

ASJC Scopus subject areas

UN SDGs

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