title: (13)C-metabolic flux analysis of co-cultures: A novel approach.
abstract: In this work, we present a novel approach for performing (13)C metabolic flux analysis ((13)C-MFA) of co-culture systems. We demonstrate for the first time that it is possible to determine metabolic flux distributions in multiple species simultaneously without the need for physical separation of cells or proteins, or overexpression of species-specific products. Instead, metabolic fluxes for each species in a co-culture are estimated directly from isotopic labeling of total biomass obtained using conventional mass spectrometry approaches such as GC-MS. In addition to determining metabolic fluxes, this approach estimates the relative population size of each species in a mixed culture and inter-species metabolite exchange. As such, it enables detailed studies of microbial communities including species dynamics and interactions between community members. The methodology is experimentally validated here using a co-culture of two E. coli knockout strains. Taken together, this work greatly extends the scope of (13)C-MFA to a large number of multi-cellular systems that are of significant importance in biotechnology and medicine.
authors.affiliation: Department of Chemical and Biomolecular Engineering, Metabolic Engineering and Systems Biology Laboratory, University of Delaware, Newark, DE 19716, USA.
authors.forename: Nikodimos A
authors.initials: NA
authors.lastname: Gebreselassie
authors.affiliation: Department of Chemical and Biomolecular Engineering, Metabolic Engineering and Systems Biology Laboratory, University of Delaware, Newark, DE 19716, USA. Electronic address: mranton@udel.edu.
authors.forename: Maciek R
authors.initials: MR
authors.lastname: Antoniewicz
mesh_terms: D002247:Carbon Isotopes; D018920:Coculture Techniques; D004926:Escherichia coli / Q000378:metabolism; D005947:Glucose / Q000378:metabolism; D064688:Metabolic Flux Analysis / Q000379:methods*
chemical_list: D002247:Carbon Isotopes; D005947:Glucose
keywords: Isotopic tracers; Metabolic flux analysis; Microbial communities; Microbial consortia; Multi-organism systems