Ibrahim Fakih1,2, Jeanne Got3, Carlos Eduardo Robles-Rodriguez4
1Université Clermont Auvergne, INRAE, UMR454 Microbiologie Environnement Digestif et Santé , 63000 Clermont-Ferrand, France.
mSystems
|June 8, 2023
概括
使用基因组数据开发了Fibrobacter succinogenes代谢的动态模型. 这些模型预测了发酵过程,有助于肠微生物组研究和工业应用.
科学领域:
- 微生物的新陈代谢
- 系统生物学 系统生物学
- 流体微生物学 流体微生物学
背景情况:
- 纤维细菌 (Fibrobacter succinogenes) 是植物纤维降解的关键菌.
- 它将纤维素代谢成糖原和发酵产品,如糖酸盐.
- 了解其新陈代谢对于反动物料效率和工业生物技术至关重要.
研究的目的:
- 为Fibrobacter succinogenes S85.5开发动态代谢模型
- 模拟其在不同碳来源 (葡萄糖,纤维素,纤维素) 上的新陈代谢.
- 提供一个资源来研究发酵和微生物操纵.
主要方法:
- 使用基因组注释和计算工具重建代谢网络.
- 使用NetRed算法和基本流量模式分析进行模型缩小.
- 产量分析以确定每个基质的关键代谢反应.
主要成果:
- 为F. succinogenes S85重建了一个全面的代谢网络 (1565个反应,1317个基因).
- 动态模型准确地模拟了碳水化合物代谢 (19% RMSE变化).
- 模型可以研究代谢物生产动态.
结论:
- 开发的模型对于了解F. succinogenes S85代谢能力是有价值的.
- 这种方法有助于将omics数据集成到预测性体代谢模型中.
- 该方法可以扩展到其他小肠微生物,用于微生物组建模和优化.
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