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Syntrophic co-culture amplification of production phenotype for high-throughput screening of microbial strain libraries.
Saleski, Tatyana E; Kerner, Alissa R; Chung, Meng Ting; Jackman, Corine M; Khasbaatar, Azzaya; Kurabayashi, Katsuo; Lin, Xiaoxia Nina.
Afiliação
  • Saleski TE; Department of Chemical Engineering, University of Michigan, Ann Arbor, MI, USA.
  • Kerner AR; Department of Chemical Engineering, University of Michigan, Ann Arbor, MI, USA.
  • Chung MT; Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI, USA.
  • Jackman CM; Department of Chemical Engineering, University of Michigan, Ann Arbor, MI, USA.
  • Khasbaatar A; Department of Chemical Engineering, University of Michigan, Ann Arbor, MI, USA.
  • Kurabayashi K; Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI, USA; Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA.
  • Lin XN; Department of Chemical Engineering, University of Michigan, Ann Arbor, MI, USA; Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA. Electronic address: ninalin@umich.edu.
Metab Eng ; 54: 232-243, 2019 07.
Article em En | MEDLINE | ID: mdl-31034921
ABSTRACT
Microbes can be engineered to synthesize a wide array of bioproducts, yet production phenotype evaluation remains a frequent bottleneck in the design-build-test cycle where strain development requires iterative rounds of library construction and testing. Here, we present Syntrophic Co-culture Amplification of Production phenotype (SnoCAP). Through a metabolic cross-feeding circuit, the production level of a target molecule is translated into highly distinguishable co-culture growth characteristics, which amplifies differences in production into highly distinguishable growth phenotypes. We demonstrate SnoCAP with the screening of Escherichia coli strains for production of two target molecules 2-ketoisovalerate, a precursor of the drop-in biofuel isobutanol, and L-tryptophan. The dynamic range of the screening can be tuned by employing an inhibitory analog of the target molecule. Screening based on this framework requires compartmentalization of individual producers with the sensor strain. We explore three formats of implementation with increasing throughput capability confinement in microtiter plates (102-104 assays/experiment), spatial separation on agar plates (104-105 assays/experiment), and encapsulation in microdroplets (105-107 assays/experiment). Using SnoCAP, we identified an efficient isobutanol production strain from a random mutagenesis library, reaching a final titer that is 5-fold higher than that of the parent strain. The framework can also be extended to screening for secondary metabolite production using a push-pull strategy. We expect that SnoCAP can be readily adapted to the screening of various microbial species, to improve production of a wide range of target molecules.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fenótipo / Mutagênese / Engenharia Metabólica Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Idioma: En Revista: Metab Eng Assunto da revista: ENGENHARIA BIOMEDICA / METABOLISMO Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fenótipo / Mutagênese / Engenharia Metabólica Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Idioma: En Revista: Metab Eng Assunto da revista: ENGENHARIA BIOMEDICA / METABOLISMO Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos