Beyond CEN.PK - parallel engineering of selected S. cerevisiae strains reveals that superior chassis strains require different engineering approaches for limonene production

IF 6.8 1区 生物学 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Yanmei Zhu , Sasha Yogiswara , Anke Willekens , Agathe Gérardin , Rob Lavigne , Alain Goossens , Vitor B. Pinheiro , Zongjie Dai , Kevin J. Verstrepen
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Abstract

Genetically engineered microbes are increasingly utilized to produce a broad range of high-value compounds. However, most studies start with only a very narrow group of genetically tractable type strains that have not been selected for maximum titers or industrial robustness. In this study, we used high-throughput screening and parallel metabolic engineering to identify and optimize Saccharomyces cerevisiae chassis strains for the production of limonene, a monoterpene with applications in flavors, fragrances, and biofuels. We screened 921 genetically and phenotypically distinct S. cerevisiae strains for limonene tolerance and lipid content to identify optimal chassis strains for precision fermentation of limonene. In parallel, we also evaluated 16 different plant limonene synthases. Our results revealed that two of the selected strains showed approximately a 2-fold increase in titers compared to CEN.PK2-1C, the type strain that is often used as a chassis for limonene production, with the same genetic modifications in the mevalonate pathway. Intriguingly, the most effective engineering strategy proved strain-specific. Metabolic profiling revealed that this difference is likely explained by differences in native mevalonate production. Ultimately, by using strain-specific engineering strategies, we achieved 844 mg/L in a new strain, 40 % higher than the titer (605 mg/L) achieved by CEN.PK2-1C. Our findings demonstrate the potential of leveraging genetic diversity in S. cerevisiae for monoterpene bioproduction and highlight the necessity for tailoring metabolic engineering strategies to specific strains.
超出岑。对选定的酿酒酵母菌株进行PK -平行工程研究表明,优良的底盘菌株需要不同的工程方法来生产柠檬烯。
基因工程微生物越来越多地用于生产各种高价值化合物。然而,大多数研究仅从一组非常狭窄的遗传易感型菌株开始,这些菌株没有选择最大滴度或工业稳健性。在这项研究中,我们使用高通量筛选和平行代谢工程来鉴定和优化酿酒酵母底盘菌株,用于生产柠檬烯,柠檬烯是一种单萜烯,可用于香料,香料和生物燃料。我们筛选了921株遗传和表型上不同的酿酒葡萄球菌对柠檬烯的耐受性和脂质含量,以确定柠檬烯精密发酵的最佳基础菌株。同时,我们还评估了16种不同的植物柠檬烯合成酶。我们的结果显示,所选菌株中有两株的滴度比CEN提高了约2倍。PK2-1C型菌株通常被用作柠檬烯生产的基础,在甲羟戊酸途径中具有相同的遗传修饰。有趣的是,最有效的工程策略被证明是针对特定菌株的。代谢分析显示,这种差异可能是由天然甲羟戊酸产生的差异来解释的。最终,通过菌株特异性工程策略,我们在新菌株中获得了844 mg/L的滴度,比CEN.PK2-1C的滴度(605 mg/L)高40%。我们的研究结果证明了利用酿酒酵母的遗传多样性进行单萜生物生产的潜力,并强调了针对特定菌株定制代谢工程策略的必要性。
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来源期刊
Metabolic engineering
Metabolic engineering 工程技术-生物工程与应用微生物
CiteScore
15.60
自引率
6.00%
发文量
140
审稿时长
44 days
期刊介绍: Metabolic Engineering (MBE) is a journal that focuses on publishing original research papers on the directed modulation of metabolic pathways for metabolite overproduction or the enhancement of cellular properties. It welcomes papers that describe the engineering of native pathways and the synthesis of heterologous pathways to convert microorganisms into microbial cell factories. The journal covers experimental, computational, and modeling approaches for understanding metabolic pathways and manipulating them through genetic, media, or environmental means. Effective exploration of metabolic pathways necessitates the use of molecular biology and biochemistry methods, as well as engineering techniques for modeling and data analysis. MBE serves as a platform for interdisciplinary research in fields such as biochemistry, molecular biology, applied microbiology, cellular physiology, cellular nutrition in health and disease, and biochemical engineering. The journal publishes various types of papers, including original research papers and review papers. It is indexed and abstracted in databases such as Scopus, Embase, EMBiology, Current Contents - Life Sciences and Clinical Medicine, Science Citation Index, PubMed/Medline, CAS and Biotechnology Citation Index.
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