| Literature DB >> 32499444 |
Jason Qian1,2,3, Zhi-Xiang Lu1,2, Christopher P Mancuso4, Han-Ying Jhuang1, Rocío Del Carmen Barajas-Ornelas5, Sarah A Boswell1,2, Fernando H Ramírez-Guadiana5, Victoria Jones1,6, Akhila Sonti4, Kole Sedlack4, Lior Artzi5, Giyoung Jung7, Mohammad Arammash1, Mary E Pettit1, Michael Melfi1, Lorena Lyon1, Siân V Owen6, Michael Baym2,6, Ahmad S Khalil4,8, Pamela A Silver1,8, David Z Rudner5, Michael Springer9,2.
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.Entities:
Year: 2020 PMID: 32499444 DOI: 10.1126/science.aba5584
Source DB: PubMed Journal: Science ISSN: 0036-8075 Impact factor: 47.728