文献类型： 外文期刊
作者： Feng, Li 1 ; Gong, Huiying 1 ; Zhang, Shen 4 ; Liu, Xiang 1 ; Wang, Yu 1 ; Che, Jincan 1 ; Dong, Ang 1 ; Griffin, Christopher H. 6 ; Gragnoli, Claudia 7 ; Wu, Jie 1 ; Yau, Shing-Tung 1 ; Wu, Rongling 1 ;
作者机构： 1.Beijing Inst Math Sci & Applicat, Beijing 101408, Peoples R China
2.Chinese Acad Fishery Sci, Fisheries Engn Inst, Beijing 100141, Peoples R China
3.Beijing Forestry Univ, Sch Grassland Sci, Beijing 100083, Peoples R China
4.Tsinghua Univ, Qiuzhen Coll, Beijing 100084, Peoples R China
5.Nankai Univ, Dept Math, Tianjin 300071, Peoples R China
6.Penn State Univ, Appl Res Lab, University Pk, PA 16802 USA
7.Penn State Univ, Coll Med, Dept Publ Hlth Sci, Hershey, PA 17033 USA
8.Creighton Univ, Sch Med, Dept Med, Omaha, NE 68124 USA
9.Bios Biotech Multidiagnost Hlth Ctr, Mol Biol Lab, I-00197 Rome, Italy
10.Tsinghua Univ, Yau Math Sci Ctr, Beijing 100084, Peoples R China
关键词： pairwise interaction; high- order interaction; ecological community; evolutionary game theory; ecological behavior
期刊名称：PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA （ 影响因子：9.1； 五年影响因子：10.6 ）
ISSN： 0027-8424
年卷期： 2024 年 121 卷 40 期
页码：
收录情况： SCI
摘要： Interactions among the underlying agents of a complex system are not only limited to dyads but can also occur in larger groups. Currently, no generic model has been developed to capture high- order interactions (HOI), which, along with pairwise interactions, portray a detailed landscape of complex systems. Here, we integrate evolutionary game theory and behavioral ecology into a unified statistical mechanics framework, allowing all agents (modeled as nodes) and their bidirectional, signed, and weighted interactions at various orders (modeled as links or hyperlinks) to be coded into hypernetworks. Such hypernetworks can distinguish between how pairwise interactions modulate a third agent (active HOI) and how the altered state of each agent in turn governs interactions between other agents (passive HOI). The simultaneous occurrence of active and passive HOI can drive complex systems to evolve at multiple time and space scales. We apply the model to reconstruct a hypernetwork of hexa- species microbial communities, and by dissecting the topological architecture of the hypernetwork using GLMY homology theory, we find distinct roles of pairwise interactions and HOI in shaping community behavior and dynamics. The statistical relevance of the hypernetwork model is validated using a series of in vitro mono- , co- , and tricultural experiments based on three bacterial species.
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