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Impact of the cultivation strategy on resveratrol production from glucose in engineered Corynebacterium glutamicum

谷氨酸棒杆菌 白藜芦醇 蓝蛋白 生物反应器 化学 发酵 生物化学 食品科学 代谢工程 微生物 细菌 生物 脂肪酸合酶 有机化学 遗传学 基因
作者
Adelaide Braga,Joana Oliveira,Ana Rita Silva,Patrícia Ferreira,Isabel Rocha,Nicolai Kallscheuer,Jan Marienhagen,N. Faria
出处
期刊:Journal of Biotechnology [Elsevier BV]
卷期号:265: 70-75 被引量:36
标识
DOI:10.1016/j.jbiotec.2017.11.006
摘要

The health benefits of polyphenols such as stilbenes and flavonoids for humans are increasingly attracting attention. Resveratrol is a well-characterized naturally-occurring stilbene and potent anti-oxidant, which is used as food supplement and cosmetic ingredient. Several microorganisms including Corynebacterium glutamicum were engineered for resveratrol production from glucose. Based on the cultivation of a resveratrol-producing C. glutamicum strain in shake flasks, different strategies for improving production under controlled conditions at bioreactor scale were tested. To this end, different cultivation parameters including substrate concentration and operation modes (batch and fed-batch) were evaluated. Whereas the highest biomass concentration was observed during fed-batch fermentation, the maximum resveratrol production was achieved in batch mode. The maximal titer obtained was 12 mg L−1 of resveratrol without the addition of the fatty acid synthase inhibitor cerulenin, which was previously shown to be crucial for production with C. glutamicum. The specific growth rate during production seems to have a significant effect in resveratrol production and apparently low specific growth rates may redirect the metabolic bottleneck from p-coumaric acid formation to malonyl-CoA or ATP availability. We also show that high oxygen concentrations in the bioreactor negatively affected the obtained resveratrol titers with C. glutamicum, which is most likely due to the strong tendency of resveratrol to oxidize or oligomerize. Thus, up-scaling of the resveratrol production process is technically challenging and individual process parameters have to be optimized cautiously.

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