| Literature DB >> 32541965 |
Ashty S Karim1,2,3, Quentin M Dudley1,2,3, Alex Juminaga4, Yongbo Yuan4, Samantha A Crowe1,2,3, Jacob T Heggestad1,2,3, Shivani Garg4, Tanus Abdalla4, William S Grubbe1,2,3, Blake J Rasor1,2,3, David N Coar5, Maria Torculas5, Michael Krein5, FungMin Eric Liew4, Amy Quattlebaum4, Rasmus O Jensen4, Jeffrey A Stuart5, Sean D Simpson4, Michael Köpke6, Michael C Jewett7,8,9,10,11.
Abstract
The design and optimization of biosynthetic pathways for industrially relevant, non-model organisms is challenging due to transformation idiosyncrasies, reduced numbers of validated genetic parts and a lack of high-throughput workflows. Here we describe a platform for in vitro prototyping and rapid optimization of biosynthetic enzymes (iPROBE) to accelerate this process. In iPROBE, cell lysates are enriched with biosynthetic enzymes by cell-free protein synthesis and then metabolic pathways are assembled in a mix-and-match fashion to assess pathway performance. We demonstrate iPROBE by screening 54 different cell-free pathways for 3-hydroxybutyrate production and optimizing a six-step butanol pathway across 205 permutations using data-driven design. Observing a strong correlation (r = 0.79) between cell-free and cellular performance, we then scaled up our highest-performing pathway, which improved in vivo 3-HB production in Clostridium by 20-fold to 14.63 ± 0.48 g l-1. We expect iPROBE to accelerate design-build-test cycles for industrial biotechnology.Entities:
Mesh:
Year: 2020 PMID: 32541965 DOI: 10.1038/s41589-020-0559-0
Source DB: PubMed Journal: Nat Chem Biol ISSN: 1552-4450 Impact factor: 15.040