利用木兰花中的芳樟醇合成酶对酿酒酵母进行工程改造以合成芳樟醇

IF 3.7 3区 生物学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Biochemical Engineering Journal Pub Date : 2024-08-28 DOI:10.1016/j.bej.2024.109477
Aneesha Abdulla , Nabarupa Gupta , Sarma Mutturi
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引用次数: 0

摘要

芳樟醇是一种具有重要商业价值的香味分子,通常从薰衣草(Lavandula angustifolia)和罗勒(Ocimum basilicum)植物中提取。本研究试图在微生物系统中生产这种分子,以解决供需失衡问题。成功克隆了木兰花(Mc)和芫荽(Cs)的芳樟醇合成酶(LIS)基因,并在酿酒酵母 CEN PK2-1 C 中进行了表达。结果表明,与没有质体信号的截短 LIS(tLIS)相比,全长 LIS(fLIS)表达的 Mc 和 Cs 的芳樟醇产量较低。在芳樟醇产量方面,MctLIS 的芳樟醇产量比 CstLIS 高 1.27 倍。后来,当另外两个可能增加甾醇通路通量的基因,即 TPI1 和 ALD6 被过量表达时,芳樟醇的产量实际上降低了,而乙酸的产量却增加了。然而,在该菌株中多拷贝表达 MctLIS 和 tHMG1 后,由于采用了推拉策略,上述现象得到了逆转。最后,该工程菌株在 2 L 生物反应器中以喂料批处理模式培养,获得了 10.85 µg/mL 的芳樟醇。通过对 MctLIS 与焦磷酸香叶酯(GPP)的同源模型进行对接研究,发现 V387、Y361、T434、R427 和 R249 是关键的相互作用位点。该研究首次报道了利用木兰属植物的 LIS 基因生产芳樟醇的情况,可作为进一步研究的潜在底盘。
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Engineering of Saccharomyces cerevisiae towards synthesis of linalool using linalool synthase from Magnolia champaca

Linalool is one of the commercially important fragrance molecule usually extracted from Lavandula angustifolia (lavender) and Ocimum basilicum (basil) plants. In the present study, efforts were made to produce this molecule in microbial system to meet demand-supply imbalance. Linalool synthase (LIS) gene from Magnolia champaca (Mc) and Coriandrum sativum (Cs) were successfully cloned and expressed in Saccharomyces cerevisiae CEN PK2–1 C. It was observed that expression of full-length LIS (fLIS) resulted in lesser linalool when compared to truncated LIS (tLIS) devoid of plastid signal for both Mc and Cs. In terms of linalool yield, MctLIS resulted in 1.27-fold higher linalool when compared to CstLIS. Later, when two more genes viz., TPI1 and ALD6 which presumably increase sterol pathway flux were overexpressed, actually resulted in lower linalool and increased acetate production. However, multicopy expression of MctLIS and tHMG1 in this strain has reversed the above phenomenon due to presumptive push-pull strategy. Finally, this engineered strain was cultivated in the 2 L bioreactor in fed-batch mode to obtain 10.85 µg/mL of linalool. Docking studies of homology model of MctLIS with geranyl pyrophosophate (GPP) revealed V387, Y361, T434, R427 and R249 as key interactions sites. The study reports the linalool production using LIS gene from Magnolia champaca for the first time and could be a potential chassis for further studies.

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来源期刊
Biochemical Engineering Journal
Biochemical Engineering Journal 工程技术-工程:化工
CiteScore
7.10
自引率
5.10%
发文量
380
审稿时长
34 days
期刊介绍: The Biochemical Engineering Journal aims to promote progress in the crucial chemical engineering aspects of the development of biological processes associated with everything from raw materials preparation to product recovery relevant to industries as diverse as medical/healthcare, industrial biotechnology, and environmental biotechnology. The Journal welcomes full length original research papers, short communications, and review papers* in the following research fields: Biocatalysis (enzyme or microbial) and biotransformations, including immobilized biocatalyst preparation and kinetics Biosensors and Biodevices including biofabrication and novel fuel cell development Bioseparations including scale-up and protein refolding/renaturation Environmental Bioengineering including bioconversion, bioremediation, and microbial fuel cells Bioreactor Systems including characterization, optimization and scale-up Bioresources and Biorefinery Engineering including biomass conversion, biofuels, bioenergy, and optimization Industrial Biotechnology including specialty chemicals, platform chemicals and neutraceuticals Biomaterials and Tissue Engineering including bioartificial organs, cell encapsulation, and controlled release Cell Culture Engineering (plant, animal or insect cells) including viral vectors, monoclonal antibodies, recombinant proteins, vaccines, and secondary metabolites Cell Therapies and Stem Cells including pluripotent, mesenchymal and hematopoietic stem cells; immunotherapies; tissue-specific differentiation; and cryopreservation Metabolic Engineering, Systems and Synthetic Biology including OMICS, bioinformatics, in silico biology, and metabolic flux analysis Protein Engineering including enzyme engineering and directed evolution.
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