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bioRxiv · 10.1101/327270

Model-driven design and evolution of non-trivial synthetic syntrophic pairs

Lloyd, C. J.·King, Z.·Sandberg, T.·Hefner, Y.·Olson, C.·Phaneuf, P.·O'Brien, E.·Feist, A.
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Abstract

Synthetic microbial communities are attractive for applied biotechnology and healthcare applications through their ability to efficiently partition complex metabolic functions. By pairing auxotrophic mutants in co-culture, nascent E. coli communities can be established where strain pairs are metabolically coupled. Intuitive synthetic communities have been demonstrated, but the full space of cross-feeding metabolites has yet to be explored. A novel algorithm, OptAux, was constructed to design 66 multi-knockout E. coli auxotrophic strains that require significant metabolite cross-feeding when paired in co-culture. Three OptAux predicted auxotrophic strains were co-cultured with an L-histidine auxotroph and validated via adaptive laboratory evolution (ALE). Time-course sequencing revealed the genetic changes employed by each strain to achieve higher community fitness and provided insights on mechanisms for sharing and adapting to the syntrophic niche. A community model of metabolism and gene expression was utilized to predict the relative community composition and fundamental characteristics of the evolved communities. This work presents a novel computational method to elucidate metabolic changes that empower community formation and thus guide the optimization of co-cultures for a desired application.

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Lloyd, C. J., King, Z., Sandberg, T., Hefner, Y., Olson, C., Phaneuf, P., O'Brien, E., Feist, A.. 2018-05-21. Model-driven design and evolution of non-trivial synthetic syntrophic pairs. https://doi.org/10.1101/327270

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