Improvement of Oleanolic Acid Production in Saccharomyces Cerevisiae Based on OptKnock Framework

Xiaohan Li, Bing Hu*

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Biosynthesis of plant-derived natural products in the eukaryotic microbe Saccharomyces cerevisiae often faces the issue of the inefficient production due to the poor compatibility between the heterologous genes and chassis cells. In order to improve the biosynthetic efficiency of heterologous production of plant secondary metabolites in S. cerevisiae, people usually do metabolic engineering in and around the heterologous metabolic pathways based on researchers' experience and mass of trials, which usually consumes a lot of manpower and financial resources. Herein, to further improve the heterologous production of oleanolic acid (OA), a pentacyclic triterpenoid in many plants with several promising pharmacological activities, in a genetically engineered, OA-producing strain S. cerevisiae OA07 effectively, a genome-scale metabolic model of the strain was developed, with the named as Yeast-OA07, and then OptKnock, a flux balance analysis-based pathway design algorithm with bilevel objectives, was utilized to develop in silico gene-knockout strategies to guide the molecular operations in S. cerevisiae OA07. Yeast8-OA07 contained 1133 genes, 2702 metabolites, and 3997 reactions. Five in silico gene-knockout strategies, which were expected to increase OA productivities, were obtained based on the metabolic flux analysis of Yeast8-OA07 through OptKnock. Afterwards, five mutant strains, named as LK1, LK2, LK3, LK4 and LK5, were constructed according to the in silico strategies. It was found that the mutant strain LK2, in which 2-Amino-4-hydroxy-6-hydroxymethyl dihydropteridine diphosphokinase-encoding gene FOL1 and formate dehydrogenase-encoding gene FDH1 were deleted, had an OA yield of 125.04 mg·L-1, which was significantlyhigher than the original strain OA07 (89.50 mg·L-1), while the mutant strain LK5, which eliminated paminobenzoic acid synthase-encoding gene ABZ1 and glycine hydroxymethyl transferase-encoding gene SHM1, had an even higher OA yield of 207.37 mg·L-1. Nevertheless, strain LK6, which was developed by integrating the in silico gene-knockout strategies of LK2 and LK5, had a significant decrease of OA production than S. cerevisiae OA07, indicating that in silico knockout strategies do not fit to in vivo iteration directly. Our study provides a novel, efficient method to improve the heterologous production of plant metabolites in microbial cell factories.

源语言英语
主期刊名Advances in Biomedical and Bioinformatics Engineering - Proceedings of the 3rd International Conference on Biomedicine and Bioinformatics Engineering, ICBBE 2023
编辑Yitao Yu, Binh P. Nguyen, Jun Sang
出版商IOS Press BV
111-122
页数12
ISBN(电子版)9781643684321
DOI
出版状态已出版 - 23 11月 2023
活动3rd International Conference on Biomedicine and Bioinformatics Engineering, ICBBE 2023 - Hybrid, Nanjing, 中国
期限: 16 6月 202318 6月 2023

出版系列

姓名Studies in Health Technology and Informatics
308
ISSN(印刷版)0926-9630
ISSN(电子版)1879-8365

会议

会议3rd International Conference on Biomedicine and Bioinformatics Engineering, ICBBE 2023
国家/地区中国
Hybrid, Nanjing
时期16/06/2318/06/23

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