Comprehensive reconstruction and evaluation of Pichia pastoris genome-scale metabolic model that accounts for 1243 ORFs

Bioresources and Bioprocessing

Mingzhi Huang¹  Weilu Lin¹  Siliang Zhang¹  Yingping Zhuang¹  Hongzhong Lu¹  Rui Ye¹  Ju Chu¹  Jiangchao Qian¹ 

[1] State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology;

关键词: Genome-scale metabolic model;    Pichia pastoris;    Multi-omics;    β-Galactosidase;   

DOI  :  10.1186/s40643-017-0152-x

来源: DOAJ

【 摘 要 】

Abstract Background Pichia pastoris is one of the most important cell factories for production of industrial enzymes and heterogenous proteins. The genome-scale metabolic model of high quality is crucial for comprehensive understanding of the P. pastoris metabolism. Methods In this paper, we upgraded P. pastoris genome-scale metabolic model based on the combination of latest genome annotations and literatures. Then the performance of the new model was evaluated using the Cobra Toolbox v2.0. Results Compared with the recently published model iMT1026, the reaction number in the new model iRY1243 was increased from 2035 to 2407 and the metabolite number was increased from 1018 to 1094. Accordingly, the unique ORF number was increased from 1026 to 1243. To improve the metabolic functions of P. pastoris genome-scale metabolic model, the biosynthesis pathways of vitamins and cofactors were carefully added. iRY1243 showed good performances when predicting the growth capability on most of the reported carbon and nitrogen sources, the metabolic flux distribution with glucose as a sole carbon source, the essential and partially essential genes, and the effects of gene deletion or overexpression on cell growth and S-adenosyl-l-methionine production. Conclusion iRY1243 is an upgraded P. pastoris genome-scale metabolic model with significant improvements in the metabolic coverage and prediction ability, and thus it will be a potential platform for further systematic investigation of P. pastoris metabolism.

【 授权许可】

Unknown