关于决策和环境的假设可以在微生物社区模型中产生多个稳定状态
Axel Theorell1, Jörg Stelling2
1Department of Biosystems Science and Engineering (D-BSSE) and SIB Swiss Institute of Bioinformatics, ETH Zurich, 4058, Basel, Switzerland. axel.theorell@bsse.ethz.ch.
BMC bioinformatics
|June 22, 2023
概括
使用基因组级代谢网络 (GSMs) 进行微生物群落的模拟,取决于环境和决策假设. 不同的假设导致对微生物共存和合作的质量不同的预测.
科学领域:
- 微生物学 微生物学
- 系统生物学 系统生物学
- 计算生物学 计算生物学
背景情况:
- 基因组规模代谢网络 (GSM) 对于模拟微生物群落至关重要,特别是在人类微生物组研究中.
- 当前的模拟经常对培养环境和微生物决策策略 (个人与社区利益) 提出未经检查的假设.
- 这些假设对社区模拟结果的系统影响仍然在很大程度上未被探索.
研究的目的:
- 系统地调查不同假设组合对微生物社区模拟的影响.
- 为模拟这些假设提供新的数学公式.
- 阐明这些假设如何影响微生物共存和合作的预测.
主要方法:
- 研究了四种不同的环境和决策假设组合.
- 开发了新的数学公式来模拟这些假设组合.
- 分析了基于差异化基质利用的微生物共存的预测.
- 检查了一个合成社区,其中菌株只能在合作中生长.
主要成果:
- 不同的假设组合产生了通过差异化基质利用对微生物共存的质量不同的预测.
- 该研究强调,稳定状态的GSM文献往往忽略了差异化基板利用,有利于交叉养机制.
- 合成社区的模拟预测了多种合作模式,即使没有明确的合作机制.
结论:
- 微生物群落的稳定状态GSM建模对决策原则和环境条件的假设很敏感.
- 虽然动态流量平衡分析可以解决这些因素,但对于表现出多个稳定状态的社区,直接稳定状态方法可能是更好.
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