通过一个无序的Lotka-Volterra模型将复杂的微生物相互作用和失生症联系起来
Jacopo Pasqualini1, Amos Maritan1, Andrea Rinaldo2,3
1Dipartimento di Fisica "G. Galilei" e INFN sezione di Padova, Università di Padova, Padua, Italy.
eLife
|January 12, 2026
概括
健康的微生物群体表现出稳定,可再生的结构,由中性波动驱动,与疾病的微生物群体不同,这些微生物群体是可变和不太稳定的. 无序系统理论可以描述这些差异,将相互作用与微生物群的稳定性和功能联系起来.
科学领域:
- 微生物生态学 微生物生态学
- 统计物理 统计物理
- 系统生物学 系统生物学
背景情况:
- 甲基因组学推进了微生物社区研究.
- 微生物组的组成对生态功能和宿主健康至关重要.
- 了解社区结构,互动和稳定性是关键.
研究的目的:
- 开发一个理论框架,将元基因组数据与生态系统建模联系起来.
- 用多样性,相互作用和稳定性来定义和比较宏观生态状态.
- 将无序系统理论应用于微生物组的表征.
主要方法:
- 结合了统计物理工具,用于用元基因组数据处理无序系统.
- 采用了一般化的Lotka-Volterra模型与随机相互作用.
- 分析了物种相互作用网络和丰富分布.
主要成果:
- 确定了健康和生病微生物组的独特模式.
- 健康的微生物组表现出类似的结构,强烈的相互作用和中性波动.
- 患病的微生物组表现出更大的变异性,决定性因素和较少的稳定性.
结论:
- 无序系统理论提供了一种新的方法来描述微生物组.
- 生态相互作用对微生物组的稳定性和功能起着至关重要的作用.
- 该框架根据社区动态区分健康和病态.
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