Metabolic potential of microbial mats and microbialites: Autotrophic capabilities described by an in silico stoichiometric approach from shared genomic resources.
Microbialites and microbial mats are complex communities with high phylogenetic diversity. These communities are mostly composed of bacteria and archaea, which are the earliest living forms on Earth and relevant to biogeochemical evolution. In this study, we identified the shared metabolic pathways for uptake of inorganic C and N in microbial mats and microbialites based on metagenomic data sets. An in silico analysis for autotrophic pathways was used to trace the paths of C and N to the system, following an elementary flux modes (EFM) approach, resulting in a stoichiometric model. The fragility was analyzed by the minimal cut sets method. We found four relevant pathways for the incorporation of CO2 (Calvin cycle, reverse tricarboxylic acid cycle, reductive acetyl-CoA pathway, and dicarboxylate/4-hydroxybutyrate cycle), some of them present only in archaea, while nitrogen fixation was the most important source of N to the system. The metabolic potential to incorporate nitrate to biomass was also relevant. The fragility of the network was low, suggesting a high redundancy of the autotrophic pathways due to their broad metabolic diversity, and highlighting the relevance of reducing power source. This analysis suggests that microbial mats and microbialites are "metabolic pumps" for the incorporation of inorganic gases and formation of organic matter.
1 Universidad Nacional Autónoma de México, Instituto de Ecología, Circuito Exterior, Ciudad Universitaria, Distrito Federal 04510, Mexico.
Daniel
D
Cerqueda-García
1 Universidad Nacional Autónoma de México, Instituto de Ecología, Circuito Exterior, Ciudad Universitaria, Distrito Federal 04510, Mexico.
Luisa I
0000-0002-7210-6483
LI
Falcón
D052818:Autotrophic Processes; D018533:Biomass; D002244:Carbon / Q000378:metabolism*; D002245:Carbon Dioxide / Q000378:metabolism*; D002952:Citric Acid Cycle; D003198:Computer Simulation; D023281:Genomics; D053858:Metabolic Networks and Pathways; D054892:Metagenome; D064307:Microbiota; D008954:Models, Biological; D009584:Nitrogen / Q000378:metabolism*; D010802:Phylogeny; D015203:Reproducibility of Results
D002245:Carbon Dioxide; D002244:Carbon; D009584:Nitrogen
Network analysis; eco-physiology; elementary flux modes; fragility; minimal cut sets