A Combinatorial Algorithm for Microbial Consortia Synthetic Design

Abstract : Synthetic biology has boomed since the early 2000s when it started being shown that it was possibleto efficiently synthetize compounds of interest in a much more rapid and effective way by using otherorganisms than those naturally producing them. However, to thus engineer a single organism, often amicrobe, to optimise one or a collection of metabolic tasks may lead to difficulties when attempting toobtain a production system that is efficient, or to avoid toxic effects for the recruited microorganism.The idea of using instead a microbial consortium has thus started being developed in the last decade.This was motivated by the fact that such consortia may perform more complicated functions than couldsingle populations and be more robust to environmental fluctuations. Success is however not alwaysguaranteed. In particular, establishing which consortium is best for the production of a given compoundor set thereof remains a great challenge. This is the problem we address in this paper. We thus introducean initial model and a method that enable to propose a consortium to synthetically produce compoundsthat are either exogenous to it, or are endogenous but where interaction among the species in theconsortium could improve the production line.
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Alice Julien-Laferrière, Laurent Bulteau, Delphine Parrot, Alberto Marchetti-Spaccamela, Leen Stougie, et al.. A Combinatorial Algorithm for Microbial Consortia Synthetic Design. Scientific Reports, Nature Publishing Group, 2016, ⟨http://www.nature.com/articles/srep29182⟩. ⟨10.1038/srep29182⟩. ⟨hal-01344296⟩

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