哈佛刘洋彧团队:找出最小驱动物种,撬动整个菌群
创作:gaoch 审核:gaoch 2019年04月01日
  • 通过把现代控制论里的可达性推广到结构可达性,可构建一个系统、有效的菌群控制理论,获得对复杂菌群的控制能力;
  • 在该理论指导下,通过分析菌群生态网络结构可找到最小驱动物种集合,进而通过调控驱动物种的丰度实现对整个菌群状态的精确控制;
  • 这一理论框架的可行性,得到随机构造的复杂菌群数值验证的肯定;
  • 在限菌小鼠肠道菌群、海绵核心共生菌群的生态网络进行的数值演示,进一步验证了该理论模型的应用价值。
主编推荐语
gaoch
菌群中的微生物存在复杂的生态学联系,导致如何控制菌群是一门很“高深”的学问。而为了利用菌群造福人类,我们需要做到这一点。刘洋彧最新研究成果利用菌群生态网络计算最小驱动物种,理论上实现了对菌群状态的精确控制。对于这样一个理论研究,小编是一头雾水。敬请关注“热心肠先生”公众号独家专访中,刘老师本人的详细解读。
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A theoretical framework for controlling complex microbial communities

一个用于控制复杂微生物群落的理论框架

10.1038/s41467-019-08890-y

2019-03-06, Article

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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.

First Authors:
Marco Tulio Angulo

Correspondence Authors:
Marco Tulio Angulo,Yangyu Liu

All Authors:
Marco Tulio Angulo,Claude H Moog,Yangyu Liu

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