Prototyping of microbial chassis for the biomanufacturing of high-value chemical targets.


Journal

Biochemical Society transactions
ISSN: 1470-8752
Titre abrégé: Biochem Soc Trans
Pays: England
ID NLM: 7506897

Informations de publication

Date de publication:
30 06 2021
Historique:
received: 25 02 2021
revised: 06 05 2021
accepted: 10 05 2021
pubmed: 9 6 2021
medline: 1 2 2022
entrez: 8 6 2021
Statut: ppublish

Résumé

Metabolic engineering technologies have been employed with increasing success over the last three decades for the engineering and optimization of industrial host strains to competitively produce high-value chemical targets. To this end, continued reductions in the time taken from concept, to development, to scale-up are essential. Design-Build-Test-Learn pipelines that are able to rapidly deliver diverse chemical targets through iterative optimization of microbial production strains have been established. Biofoundries are employing in silico tools for the design of genetic parts, alongside combinatorial design of experiments approaches to optimize selection from within the potential design space of biological circuits based on multi-criteria objectives. These genetic constructs can then be built and tested through automated laboratory workflows, with performance data analysed in the learn phase to inform further design. Successful examples of rapid prototyping processes for microbially produced compounds reveal the potential role of biofoundries in leading the sustainable production of next-generation bio-based chemicals.

Identifiants

pubmed: 34100907
pii: 228968
doi: 10.1042/BST20200017
doi:

Substances chimiques

Biological Products 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

1055-1063

Subventions

Organisme : Biotechnology and Biological Sciences Research Council
ID : BB/M017702/1
Pays : United Kingdom

Informations de copyright

© 2021 The Author(s). Published by Portland Press Limited on behalf of the Biochemical Society.

Auteurs

Christopher J Robinson (CJ)

Manchester Synthetic Biology Research Centre for Fine and Speciality Chemicals (SYNBIOCHEM), Manchester Institute of Biotechnology, The University of Manchester, Manchester M1 7DN, U.K.

Jonathan Tellechea-Luzardo (J)

Institute of Industrial Control Systems and Computing (ai2), Universitat Politècnica de València, 46022 Valencia, Spain.

Pablo Carbonell (P)

Institute of Industrial Control Systems and Computing (ai2), Universitat Politècnica de València, 46022 Valencia, Spain.

Adrian J Jervis (AJ)

Manchester Synthetic Biology Research Centre for Fine and Speciality Chemicals (SYNBIOCHEM), Manchester Institute of Biotechnology, The University of Manchester, Manchester M1 7DN, U.K.

Cunyu Yan (C)

Manchester Synthetic Biology Research Centre for Fine and Speciality Chemicals (SYNBIOCHEM), Manchester Institute of Biotechnology, The University of Manchester, Manchester M1 7DN, U.K.

Katherine A Hollywood (KA)

Manchester Synthetic Biology Research Centre for Fine and Speciality Chemicals (SYNBIOCHEM), Manchester Institute of Biotechnology, The University of Manchester, Manchester M1 7DN, U.K.

Mark S Dunstan (MS)

Manchester Synthetic Biology Research Centre for Fine and Speciality Chemicals (SYNBIOCHEM), Manchester Institute of Biotechnology, The University of Manchester, Manchester M1 7DN, U.K.

Andrew Currin (A)

Manchester Synthetic Biology Research Centre for Fine and Speciality Chemicals (SYNBIOCHEM), Manchester Institute of Biotechnology, The University of Manchester, Manchester M1 7DN, U.K.

Eriko Takano (E)

Manchester Synthetic Biology Research Centre for Fine and Speciality Chemicals (SYNBIOCHEM), Manchester Institute of Biotechnology, The University of Manchester, Manchester M1 7DN, U.K.

Nigel S Scrutton (NS)

Manchester Synthetic Biology Research Centre for Fine and Speciality Chemicals (SYNBIOCHEM), Manchester Institute of Biotechnology, The University of Manchester, Manchester M1 7DN, U.K.

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Classifications MeSH