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丙酮酸铁氧化还原蛋白酶对蓝藻光合生长速率影响的仿真分析
引用本文:孟雅菲,申铁,彭棋,陈震.丙酮酸铁氧化还原蛋白酶对蓝藻光合生长速率影响的仿真分析[J].华中师范大学学报(自然科学版),2020,54(2):244-249.
作者姓名:孟雅菲  申铁  彭棋  陈震
作者单位:1.贵州师范大学贵州省信息与计算科学重点实验室, 贵阳 550000;2.贵州师范大学数学科学院, 贵阳 550000
摘    要:光合生物通过光合作用,可将光能转化为储存在生物体内部的生物质能,生物质能的生成速率受光合生长速率的影响.研究影响光合生长速率的因素,有利于提高生物质能的生成速率.蓝藻是最早进行光合作用和释氧的原核生物,具有遗传背景简单、固碳效率高等特点.丙酮酸铁氧化还原蛋白酶(PFOR)是丙酮酸固碳代谢的关键酶,在丙酮酸异化过程中起着重要作用.首先根据蓝藻的代谢网络,模拟敲除其中的酶PFOR,并利用通量平衡分析、通量可变性分析和多目标优化方法研究基因敲除后的代谢网络.通过研究分析,推测出酶PFOR对蓝藻光合生长速率的影响.

关 键 词:PFOR    代谢通量    生物质能    生长速率  
收稿时间:2020-05-19

Simulationanalysis of pyruvate ferredoxin oxidoreductase effect on photosynthetic growth rate of cyanobacteria
MENG Yafei,SHEN Tie,PENG Qi,CHEN Zhen.Simulationanalysis of pyruvate ferredoxin oxidoreductase effect on photosynthetic growth rate of cyanobacteria[J].Journal of Central China Normal University(Natural Sciences),2020,54(2):244-249.
Authors:MENG Yafei  SHEN Tie  PENG Qi  CHEN Zhen
Institution:1.Key Laboratory of Information of Computing Science of Guizhou Province, Guizhou Normal University, Guiyang 550000, China;2.Academy of Mathematics, Guizhou Normal University, Guiyang 550000, China
Abstract:Photosynthetic organisms convert light energy into biomass energy through photosynthesis, thus storing the energy in their bodies. The rate of biomass energy generation is affected by the photosynthesis growth rate of these organisms. Studying the factors that affect the photosynthetic growth rate is beneficial to promote the rate of biomass energy generation. As the earliest oxygen-evolving photosynthetic microorganism, cyanobacteria have simple genetic background and high carbon sequestration efficiency. Pyruvate ferredoxin oxidoreductase (PFOR) plays a key role in pyruvate metabolism of carbon sequestration process via regulating pyruvate alienation. In this paper, based on the metabolic network of cyanobacteria, the effects of enzyme PFOR on the photosynthetic growth rate of cyanobacteria were estimated. The metabolic network after gene knockout was studied by means of flux equilibrium analysis, flux variability analysis and multi-objective optimization.
Keywords:PFOR  metabolic flux  biomass energy  growth rate  
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