丰富的细菌种群的生长阶段估计,从人类便中纵向取样的人类便元基因组
Joe J Lim1, Christian Diener2, James Wilson2
1Department of Environmental & Occupational Health Sciences, University of Washington, Seattle, WA, 98105, USA.
Nature communications
|September 14, 2023
概括
人体肠道微生物组的动态并不是由每日生长率驱动的. 一个新的模型将肠道视为稳定状态系统,从便数据中揭示细菌生长阶段.
科学领域:
- 微生物学 微生物学
- 计算生物学 计算生物学
- 生态生态学 生态生态学
背景情况:
- 纵向的人体肠道微生物组研究提供了生态洞察力.
- 每日便采样不匹配细菌群的快速倍增时间 (分钟到小时).
- 以前的模型错误地将每天的分类丰度变化与生长/死亡率联系在一起.
研究的目的:
- 为人类肠道微生物组动态提出一个替代模型.
- 将肠道微生物种群重新定义为具有内部动态的静止系统.
- 开发一种用于估计现场细菌生长阶段的方法.
主要方法:
- 使用随机物流增长形式化静止系统概念.
- 用体外大肠杆菌生长实验验验证模型预测.
- 将该方法应用于密集采样的人类便元基因组时间序列数据.
主要成果:
- 拟议的模型为估计肠道细菌生长阶段提供了一个框架.
- 在体外实验证实了该模型的预测准确性.
- 该方法适用于真实世界的人类微生物组数据.
结论:
- 肠道微生物群的波动可能代表稳定状态输出,而不是每日生长率.
- 估计细菌生长阶段可以增强流通生态系统中的代谢建模.
- 这种方法为肠道微生物生态和动态提供了新的见解.
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