.png){kind=icon}
返回
A theoretical framework for controlling complex microbial communities
.png){kind=icon}
OA
AI
DOI：10.1038/s41467-019-08890-y.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Microbes form complex communities that perform critical roles for the integrity of their environment or the well-being of their hosts. Controlling these microbial communities can help us restore natural ecosystems and maintain healthy human microbiota. However, the lack of an efficient and systematic control framework has limited our ability to manipulate these microbial communities. Here we fill this gap by developing a control framework based on the new notion of structural accessibility. Our framework uses the ecological network of the community to identify minimum sets of its driver species, manipulation of which allows controlling the whole community. We numerically validate our control framework on large communities, and then we demonstrate its application for controlling the gut microbiota of gnotobiotic mice infected with Clostridium difficile and the core microbiota of the sea sponge Ircinia oros. Our results provide a systematic pipeline to efficiently drive complex microbial communities towards desired states.
Keyword:
NETWORKS
ECOLOGY
UNIVERSALITY
MANAGEMENT
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
15.7
论文数:
9.4W
被引数:
91.2W
机构
引用论文
.png){kind=icon}
分享收藏Testing for predator dependence in predator-prey dynamics: a non-parametric approach捕食者-猎物动力学中捕食者依赖性的检验: 非参数方法OAAI
OAAI分享收藏分享收藏
查看更多内容