Dataset Information

Inferring metabolic mechanisms of interaction within a defined gut microbiota

ABSTRACT: The diversity and number of species present within microbial communities create the potential for a multitude of interspecies metabolic interactions. Here, we develop, apply, and experimentally test a framework for inferring metabolic mechanisms associated with interspecies interactions. We perform pairwise growth and metabolome profiling of co-cultures of strains from a model mouse microbiota. We then apply our framework to dissect emergent metabolic behaviors that occur in co-culture. Based on one of the inferences from this framework, we identify and interrogate an amino acid cross-feeding interaction and validate that the proposed interaction leads to a growth benefit in vitro. Our results reveal the type and extent of emergent metabolic behavior in microbial communities composed of gut microbes. We focus on growth-modulating interactions, but the framework can be applied to interspecies interactions that modulate any phenotype of interest within microbial communities.

INSTRUMENT(S): Bruker

SUBMITTER: Gregory Medlock

PROVIDER: MTBLS705 | MetaboLights | 2019-10-29

REPOSITORIES: MetaboLights

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Dataset's files

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			Action	DRS
	MTBLS705	Other
	FILES	Other
	a_MTBLS705_asf_co-cultures_metabolite_profiling_NMR_spectroscopy.txt	Txt
	i_Investigation.txt	Txt
	m_MTBLS705_asf_co-cultures_metabolite_profiling_NMR_spectroscopy_v2_maf.tsv	Tabular

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Publications

Inferring Metabolic Mechanisms of Interaction within a Defined Gut Microbiota.

Medlock Gregory L GL Carey Maureen A MA McDuffie Dennis G DG Mundy Michael B MB Giallourou Natasa N Swann Jonathan R JR Kolling Glynis L GL Papin Jason A JA

Cell systems 20180905 3

The diversity and number of species present within microbial communities create the potential for a multitude of interspecies metabolic interactions. Here, we develop, apply, and experimentally test a framework for inferring metabolic mechanisms associated with interspecies interactions. We perform pairwise growth and metabolome profiling of co-cultures of strains from a model mouse microbiota. We then apply our framework to dissect emergent metabolic behaviors that occur in co-culture. Based on ...[more]

PMID: 30195437

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