RT Journal Article
SR Electronic
T1 Impact of the species compartment definition on quantitative modeling of microbial communities
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 018010
DO 10.1101/018010
A1 Marko Budinich
A1 Jérémie Bourdon
A1 Damien Eveillard
YR 2015
UL http://biorxiv.org/content/early/2015/04/15/018010.abstract
AB Recent advances in genome-scale metabolic network reconstruction paved the way to the use of quantitative modelings such as FBA. However, despite the great interest of these techniques to tackle quantitative features, microbial community modeling remains unclear. Whereas studies represent a microbial community with several compartments for each microbial strains and their common pool, others advocate for the use of a single compartment that combines all reactions. Here we show that both modelings lead to different optimal quantitative solutions. This study illustrates this difference by the use of the flux module technique, that describes, in a compact way, the optimal solution space as computed by FBA-like techniques. For application, this paper computes the flux modules of a hot spring microbial community (represented by Synechococcus spp., Chloroflexus and Roseiflexus spp.) and a microbial methagenic system (Desulvovibrio vulgaris and Methanococcus maripaludis) sulfate reducing bacteria), while emphasizing the quantitative changes that occurs when one assumes either the consortium as a “single compartment” or a multiple compartment.