Light-Exposed Metabolic Responses of through Transcriptome-Integrated Genome-Scale Modeling.

The genome-scale metabolic model (GSMM) of provides a comprehensive basis of carbon assimilation for cell growth and metabolite production. However, the model with a simple mass balance concept shows limited capability to probe the metabolic responses of under light exposure. This study, therefore, employed the transcriptome-integrated GSMM approach to extend the investigation of 's metabolism under light conditions. Through the gene inactivity moderated by metabolism and expression (GIMME) framework, the PS1474-GSMM model was furnished with the transcriptome data, thus providing a simulation that described reasonably well the metabolic responses underlying the phenotypic observation of under the particular light conditions. The PS1474-GSMM obviously showed an improved prediction of metabolic fluxes in correlation with the expressed genes involved in the cordycepin and carotenoid biosynthetic pathways under the sucrose culturing conditions. Further analysis of reporter metabolites suggested that the central carbon, purine, and fatty acid metabolisms towards carotenoid biosynthesis were the predominant metabolic processes responsible in light conditions. This finding highlights the key responsive processes enabling the acclimatization of metabolism in varying light conditions. This study provides a valuable perspective on manipulating metabolic genes and fluxes towards the target metabolite production of .