A genome-scale metabolic model forMethylococcus capsulatuspredicts reduced efficiency uphill electron transfer to pMMO

Abstract

AbstractBackgroundGenome-scale metabolic models allow researchers to calculate yields, to predict consumption and production rates, and to study the effect of genetic modificationsin silico, without running resource-intensive experiments. While these models have become an invaluable tool for optimizing industrial production hosts likeE. coliandS. cerevisiae, few such models exist for one-carbon (C1) metabolizers.ResultsHere we present a genome-scale metabolic model forMethylococcus capsulatus, a well-studied obligate methanotroph, which has been used as a production strain of single cell protein (SCP). The model was manually curated, and spans a total of 877 metabolites connected via 898 reactions. The inclusion of 730 genes and comprehensive annotations, make this model not only a useful tool for modeling metabolic physiology, but also a centralized knowledge base forM. capsulatus. With it, we determined that oxidation of methane by the particulate methane monooxygenase is most likely driven through uphill electron transfer operating at reduced efficiency as this scenario matches best with experimental data from literature.ConclusionsThe metabolic model will serve the ongoing fundamental research of C1 metabolism, and pave the way for rational strain design strategies towards improved SCP production processes inM. capsulatus.