College of Biological Science and Engineering, Fuzhou University, Fuzhou, Fujian, 350108, China.
The Key Laboratory of Marine Enzyme Engineering of Fujian Province, Fuzhou University, Fuzhou, Fujian, 350108, China.
Microb Cell Fact. 2024 Jun 8;23(1):167. doi: 10.1186/s12934-024-02443-9.
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.
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.
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.
白腐真菌自然产生大量漆酶，其稳定性和催化效率令人称道。然而，其漆酶产量无法满足工业规模应用的需求。为了解决这一限制，优化漆酶生产条件至关重要。然而，不同条件下的调控机制尚不清楚。这一知识空白阻碍了漆酶的经济有效应用。
在这项研究中，我们利用转录组学和代谢组学数据来研究一种有前途的漆酶生产菌，即 Cerrena unicolor 87613，其以果糖作为碳源进行培养。我们对差异表达基因（DEGs）和差异丰度代谢物（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，其转录和代谢模式表现出相反的变化。在这个网络中，我们确定了五个生物标志物，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生产水平方面发挥着关键作用。
本研究提出了一个复杂的代谢网络，并确定了关键的生物标志物，这些标志物决定了 Cerrena unicolor 87613 中漆酶的生产水平。这些发现不仅揭示了碳源在漆酶生产中的调控机制，还为通过代谢途径的战略重编程来增强漆酶生产提供了理论基础，特别是与柠檬酸循环和特定氨基酸代谢相关的途径。
