title: Reconstruction and comparison of the metabolic potential of cyanobacteria Cyanothece sp. ATCC 51142 and Synechocystis sp. PCC 6803.
abstract: Cyanobacteria are an important group of photoautotrophic organisms that can synthesize valuable bio-products by harnessing solar energy. They are endowed with high photosynthetic efficiencies and diverse metabolic capabilities that confer the ability to convert solar energy into a variety of biofuels and their precursors. However, less well studied are the similarities and differences in metabolism of different species of cyanobacteria as they pertain to their suitability as microbial production chassis. Here we assemble, update and compare genome-scale models (iCyt773 and iSyn731) for two phylogenetically related cyanobacterial species, namely Cyanothece sp. ATCC 51142 and Synechocystis sp. PCC 6803. All reactions are elementally and charge balanced and localized into four different intracellular compartments (i.e., periplasm, cytosol, carboxysome and thylakoid lumen) and biomass descriptions are derived based on experimental measurements. Newly added reactions absent in earlier models (266 and 322, respectively) span most metabolic pathways with an emphasis on lipid biosynthesis. All thermodynamically infeasible loops are identified and eliminated from both models. Comparisons of model predictions against gene essentiality data reveal a specificity of 0.94 (94/100) and a sensitivity of 1 (19/19) for the Synechocystis iSyn731 model. The diurnal rhythm of Cyanothece 51142 metabolism is modeled by constructing separate (light/dark) biomass equations and introducing regulatory restrictions over light and dark phases. Specific metabolic pathway differences between the two cyanobacteria alluding to different bio-production potentials are reflected in both models.
authors.affiliation: Department of Chemical Engineering, The Pennsylvania State University, University Park, Pennsylvania, United States of America.
authors.forename: Rajib
authors.initials: R
authors.lastname: Saha
authors.forename: Alex T
authors.initials: AT
authors.lastname: Verseput
authors.forename: Bertram M
authors.initials: BM
authors.lastname: Berla
authors.forename: Thomas J
authors.initials: TJ
authors.lastname: Mueller
authors.forename: Himadri B
authors.initials: HB
authors.lastname: Pakrasi
authors.forename: Costas D
authors.initials: CD
authors.lastname: Maranas
mesh_terms: D000465:Algorithms; D018533:Biomass; D003001:Cloning, Molecular; D003198:Computer Simulation; D000458:Cyanobacteria / Q000378:metabolism*; D046889:Cyanothece / Q000378:metabolism*; D016680:Genome, Bacterial; D006003:Glycogen / Q000737:chemistry; D008055:Lipids / Q000737:chemistry; D053858:Metabolic Networks and Pathways / Q000235:genetics; D008956:Models, Chemical; D015233:Models, Statistical; D010641:Phenotype; D010788:Photosynthesis / Q000235:genetics; D046939:Synechocystis / Q000378:metabolism*; D013816:Thermodynamics
chemical_list: D008055:Lipids; D006003:Glycogen