基因组尺度代谢网络模型在生物质燃料产生菌改造中的应用

Application of Genome-scale Metabolic Network Model on Strain Improvement for Biofuel Production

基因组尺度代谢网络模型是以菌株高通量测序数据和各种组学数据为基础,模拟生物体的代谢过程,该模型能够预测菌种改造位点并指导具体实验,使菌种改造更理性、更直接和更省时。基因组尺度代谢网络模型在生物质燃料产生菌的改造方面已取得一定进展,在提高目标产物产量方面已取得一定效果。本文综述了基因组尺度代谢网络模型在生物质燃料产生菌改造中的应用,展望了其应用前景。

Genome-scale met a bolic network model simulates the metabolic processes of living organisms and predicts the site for strain improvement to guide specific experiments which is established based on genome sequencing data and various kinds of omics data. The model makes the work of strain improvement more rational,more direct and more time-saving. Genome-scale metabolic network model has been applied in strain improvement of the biofuel-producing strains and good results have been found. In this paper,we reviewed the application of genome scale metabolic network model in the strains modification and improvement of biofuel-producing strains,and its application prospect also was predicted.