Jan 25, 2017

Dynamic substrate preferences predict metabolic properties of a simple microbial consortium

BMC Bioinformatics
Onur ErbilginTrent R Northen

Abstract

Mixed cultures of different microbial species are increasingly being used to carry out a specific biochemical function in lieu of engineering a single microbe to do the same task. However, knowing how different species' metabolisms will integrate to reach a desired outcome is a difficult problem that has been studied in great detail using steady-state models. However, many biotechnological processes, as well as natural habitats, represent a more dynamic system. Examining how individual species use resources in their growth medium or environment (exometabolomics) over time in batch culture conditions can provide rich phenotypic data that encompasses regulation and transporters, creating an opportunity to integrate the data into a predictive model of resource use by a mixed community. Here we use exometabolomic profiling to examine the time-varying substrate depletion from a mixture of 19 amino acids and glucose by two Pseudomonas and one Bacillus species isolated from ground water. Contrary to studies in model organisms, we found surprisingly few correlations between resource preferences and maximal growth rate or biomass composition. We then modeled patterns of substrate depletion, and used these models to examine if substrate ...Continue Reading

Mentioned in this Paper

Microorganism
C1S
Metabolic Process, Cellular
Pseudomonas Infections
Study
Asparagine
Biochemical Pathway
Acam
Patterns
Histidine

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