多样化的海洋微生物社区的动态碳流网络
Marvin M Mayerhofer1, Falk Eigemann1, Carsten Lackner1
1Water Quality Engineering, Technical University of Berlin, Berlin, Germany.
ISME communications
|November 8, 2023
概括
一种新方法将微生物生态系统相互作用定量化建模. 它揭示了细菌如何处理碳,对寡质生物有意想不到的作用,推动了我们对海洋碳循环的理解.
科学领域:
- 微生物生态学 微生物生态学
- 环境微生物学 环境微生物学
- 系统生物学 系统生物学
背景情况:
- 微生物生态系统对于全球过程至关重要,但对它们的相互作用的定量理解是有限的.
- 当前的方法通过经验推断相互作用,缺乏机械制约和定量质量流.
- 微生物成分的高分辨率数据存在,但相互作用动态仍然难以破译.
研究的目的:
- 开发一种新的推断方法,用于微生物生态系统的定量,机械模型.
- 为了克服与反循环校准大规模非线性模型的挑战.
- 应用该方法来了解海洋系统中的植物浮游生物与异质型细菌相互作用.
主要方法:
- 开发了一种对时间序列数据进行校准的机械建模方法.
- 采用了一种新的优化程序,模仿模型校准的自然物种化.
- 来自生理实验和基因组序列的综合物种级数据用于模型策划.
主要成果:
- 创建了一个质量平衡,有机械约束的生态系统流量的定量模型.
- 在植物浮游生物和异构细菌之间预测的定量碳流.
- 揭示了寡质细菌 (例如,SAR11) 是显著的碳处理器由于高生物质,和植物的功能相似性解关联.
结论:
- 开发的方法为定量微生物生态系统建模提供了一个强大的框架.
- 这些发现为碳循环动态和海洋环境中的细菌作用提供了新的见解.
- 该方法可适应各种微生物系统,包括人类微生物群和废水处理.
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