College of Bioscience and Biotechnology, Yangzhou University, Yangzhou 225009, China.
School of Biotechnology, Jiangnan University, Wuxi 214122, China.
Int J Mol Sci. 2024 Aug 28;25(17):9321. doi: 10.3390/ijms25179321.
is widely considered to be a harmful bacterium that is resistant to medicines and disinfectants. NL1 degrades phenols efficiently and shows promise as an aromatic compound degrader in antibiotic-contaminated environments. To gain a comprehensive understanding of , the first genome-scale metabolic model of was constructed using semi-automated and manual methods. The NX811 model, which includes 811 genes, 1071 metabolites, and 1155 reactions, was validated using 39 unique carbon and nitrogen sources. Genes and metabolites critical for cell growth were analyzed, and 12 essential metabolites (mainly in the biosynthesis and metabolism of glycan, lysine, and cofactors) were identified as antibacterial drug targets. Moreover, to explore the metabolic response to phenols, metabolic flux was simulated by integrating transcriptomics, and the significantly changed metabolism mainly included central carbon metabolism, along with some transport reactions. In addition, the addition of substances that effectively improved phenol degradation was predicted and validated using the model. Overall, the reconstruction and analysis of model NX811 helped to study the antimicrobial systems and biodegradation behavior of
被广泛认为是一种对药物和消毒剂具有抗药性的有害细菌。NL1 能有效地降解酚类物质，有望成为抗生素污染环境中芳香族化合物的降解剂。为了全面了解 ，我们使用半自动和手动方法构建了第一个基因组规模的代谢模型。NX811 模型包含 811 个基因、1071 个代谢物和 1155 个反应，通过 39 种独特的碳源和氮源进行了验证。对与细胞生长相关的关键基因和代谢物进行了分析，确定了 12 种必需代谢物（主要在聚糖、赖氨酸和辅因子的生物合成和代谢中）作为抗菌药物靶点。此外，为了探索对酚类物质的代谢响应，通过整合转录组学模拟了代谢通量，显著变化的代谢主要包括中心碳代谢以及一些运输反应。此外，还使用该模型预测和验证了添加有效提高苯酚降解的物质。总之，NX811 模型的构建和分析有助于研究 的抗菌系统和生物降解行为。
