运输和转移:使用可处理的发酵系统在微生物组多组中建模收集诱导的偏差
Annina R Meyer1, Jan Patrick Tan2, Mihnea Paul Mihaila1
1Laboratory of Food Systems Biotechnology, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland.
NPJ biofilms and microbiomes
|January 9, 2026
概括
储存环境温度会显著改变微生物组和代谢组的形状,即使是短时间. 了解这些偏见对于在大规模的分散研究中准确解释数据至关重要.
科学领域:
- 微生物学 微生物学
- 代谢学 代谢学 代谢学
- 生物信息学是一种生物信息学.
背景情况:
- 分散的微生物组研究和公民科学倡议通常涉及环境温度存储.
- 这种存储可以引入偏差,改变样本组成并影响数据的可比性.
研究的目的:
- 为量化和建模微生物组和代谢组数据中存储诱导的偏差开发一个可概括的框架.
- 评估温度和时间对样品成分的影响,使用酸面粉发酵模型.
主要方法:
- 在控制温度 (4°C, 17°C, 30°C) 下保存长达28天的酸面面样品的多种组分 (微生物组,代谢组,培养) 分析.
- 应用机器学习模型来识别温度依赖的变化和预测储存条件.
主要成果:
- 温度显著影响了细菌群体结构和代谢概况,而真菌群体保持稳定.
- 储存引发了生态重组,高温导致网络模块化减少.
- 代谢物是储存条件的关键预测因素,表明对环境暴露的高度敏感性.
结论:
- 即使是短期的环境储存 (<2天) 也会大大改变微生物组和代谢组的形状.
- 开发的框架使存储效应的可靠量化和建模成为可能,有助于分散研究的偏差检测和纠正.
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