Research On The Cooperativity Between Metabolizing Enzyme Reactions Of Synechococcus By Using Flow Balance Analysis

Photosynthesis is the basis for the survival of the biological world and an important medium for the carbon and oxygen cycle of the Earth.The photosynthetic metabolic system provides the basic materials and sources of life,and is the cornerstone of future bio-industry development.The study of photosynthetic metabolic networks is one of the hot issues in biology.Through the study of the network characteristics of the metabolic pathways and metabolic pathways of the photosynthetic cyanobacteria Synechococcus,a major player in the global carbon cycle and a major contributor to primary productivity,understand the metabolic processes of organisms and and the effects between enzyme reactions.System-level modeling and simulation of biological processes can guide the quantification and dynamics of all aspects of cellular function.In this paper,we use the constraint-based metabolic network analysis method to simulate cell metabolism in a computer and analyze the basic topology and network internal relationship of the metabolic network of Synechococcus.The iJB785 model is a model established for Synechococcus elongatus PCC 7942.Taking the Synechococcus as a experimental object,we remove the reactions in the metabolic network one by one and use the FBA method to analyze the flux of the metabolic network after the knockout reaction.The distribution,and the effect of the knockout of the reaction on the rest of the reaction,and the reaction to the entire system in the metabolic network were found to further verify the feasibility of the network theory and model method.Metabolic studies were performed on the constructed mutants to compare their differences in function with wild-type Synechococcus.And use the FVA method to find the optimal value of the objective function for a given constraint,and optimize the minimum and maximum flux values for each reaction to determine the allowable range of each reaction flux in the metabolic network of Synechococcus,and pass Using the FVA method to classify reactions in the network,it is possible to roughly determine some of the essential and non-essential genes of the metabolic network.The minimal reaction set of the metabolic network is the smallest set of reactions that can maintain the vital signs of the organism,which can keep the living body in the worst living environment and achieve the maximum output in industrial production.Traditional methods are difficult to quickly and efficiently find the minimum response set of a living organism that achieves a certain biological goal and meets the minimum metabolic regulation.According to the necessity of the gene,by combining the convex optimization theory in mathematics,a convex optimization method which is superior to the traditional method in time and scale is found.