Abstract


RELATIONS IN MICROBIAL ECOSYSTEM: APPLICATION IN A HOT SPRING COMMUNITY

Recent advances in high throughput and genome-scale reconstruction pipelines enabled the use of metabolic modeling as a tool to explore the phenotypic capabilities of microorganism. However, the use Flux Balance Analysis related techniques to tackle microbial community modeling remains unclear. Whereas studies represent a microbial community as several compartments for each organism and their common pool, others advocate for the use of a single compartment that combines all reactions.In this work, we show that both ways lead to similar quantitative predictions but with different qualitative consequences. This study uses the “Flux Module” technique, which describes the solution space as computed by FBA-like techniques, detecting sub-networks of connected reactions. We illustrates our analysis on a microbial community (represented by Synechococcus, Chloroflexus spp., Roseiflexus spp. and Sulfate Reducing Bacteria), while emphasizing quantitative changes assuming the consortium either as a ``single" or ``multiple” compartments. In particular, we calculate the Flux Modules of both approaches and apply different optimizations techniques in order to understand metabolic fluxes between each actor of the system and the environment.

Authors

Budinich, M., Université de Nantes, France, marko.budinich@univ-nantes.fr

Eveillard, D., Université de Nantes, France

Larhlimi, A., Université de Nantes, France

Bourdon, J., Université de Nantes, France

Details

Poster presentation

Session #:075
Date: 2/26/2015
Time: 18:30 - 20:00
Location: Poster/Exhibit Hall

Presentation is given by student: Yes

PosterID: 316