A complex metabolic network and its biomarkers regulate laccase production in white-rot fungus Cerrena unicolor 87613.

IF 4.3 2区 生物学 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Microbial Cell Factories Pub Date : 2024-06-08 DOI:10.1186/s12934-024-02443-9
Long-Bin Zhang, Xiu-Gen Qiu, Ting-Ting Qiu, Zhou Cui, Yan Zheng, Chun Meng
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Abstract

Background: White-rot fungi are known to naturally produce high quantities of laccase, which exhibit commendable stability and catalytic efficiency. However, their laccase production does not meet the demands for industrial-scale applications. To address this limitation, it is crucial to optimize the conditions for laccase production. However, the regulatory mechanisms underlying different conditions remain unclear. This knowledge gap hinders the cost-effective application of laccases.

Results: In this study, we utilized transcriptomic and metabolomic data to investigate a promising laccase producer, Cerrena unicolor 87613, cultivated with fructose as the carbon source. Our comprehensive analysis of differentially expressed genes (DEGs) and differentially abundant metabolites (DAMs) aimed to identify changes in cellular processes that could affect laccase production. As a result, we discovered a complex metabolic network primarily involving carbon metabolism and amino acid metabolism, which exhibited contrasting changes between transcription and metabolic patterns. Within this network, we identified five biomarkers, including succinate, serine, methionine, glutamate and reduced glutathione, that played crucial roles in co-determining laccase production levels.

Conclusions: Our study proposed a complex metabolic network and identified key biomarkers that determine the production level of laccase in the commercially promising Cerrena unicolor 87613. These findings not only shed light on the regulatory mechanisms of carbon sources in laccase production, but also provide a theoretical foundation for enhancing laccase production through strategic reprogramming of metabolic pathways, especially related to the citrate cycle and specific amino acid metabolism.

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复杂的新陈代谢网络及其生物标记调控白腐真菌 Cerrena unicolor 87613 的漆酶生产。
背景:众所周知,白腐真菌可天然产生大量漆酶,其稳定性和催化效率值得称道。然而,它们的漆酶产量并不能满足工业规模应用的需求。要解决这一局限性,优化漆酶的生产条件至关重要。然而,不同条件下的调节机制仍不清楚。这一知识空白阻碍了漆酶经济高效的应用:在本研究中,我们利用转录组和代谢组数据研究了以果糖为碳源培养的有前途的漆酶生产者 Cerrena unicolor 87613。我们对差异表达基因(DEGs)和差异丰富代谢物(DAMs)进行了全面分析,旨在确定可能影响漆酶生产的细胞过程变化。结果,我们发现了一个主要涉及碳代谢和氨基酸代谢的复杂代谢网络,该网络在转录和代谢模式之间呈现出对比变化。在这一网络中,我们确定了五个生物标记物,包括琥珀酸、丝氨酸、蛋氨酸、谷氨酸和还原型谷胱甘肽,它们在共同决定漆酶的生产水平方面发挥着关键作用:我们的研究提出了一个复杂的代谢网络,并确定了决定具有商业前景的 Cerrena unicolor 87613 的漆酶生产水平的关键生物标志物。这些发现不仅揭示了漆酶生产中碳源的调控机制,还为通过战略性地重新规划代谢途径(尤其是与柠檬酸循环和特定氨基酸代谢相关的途径)来提高漆酶产量提供了理论基础。
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来源期刊
Microbial Cell Factories
Microbial Cell Factories 工程技术-生物工程与应用微生物
CiteScore
9.30
自引率
4.70%
发文量
235
审稿时长
2.3 months
期刊介绍: Microbial Cell Factories is an open access peer-reviewed journal that covers any topic related to the development, use and investigation of microbial cells as producers of recombinant proteins and natural products, or as catalyzers of biological transformations of industrial interest. Microbial Cell Factories is the world leading, primary research journal fully focusing on Applied Microbiology. The journal is divided into the following editorial sections: -Metabolic engineering -Synthetic biology -Whole-cell biocatalysis -Microbial regulations -Recombinant protein production/bioprocessing -Production of natural compounds -Systems biology of cell factories -Microbial production processes -Cell-free systems
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