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微生物群落通过复杂的相互作用塑造和影响宿主健康，生物膜中的合作与竞争机制在微生物生态网络中起到关键作用。通过数学建模和系统生物学方法，科学家正在揭示多物种微生物群落的功能和动态。高阶代谢相互作用对微生物群落的整体活动具有显著影响，而病毒性类胰岛素肽等新型发现则可能改变我们对宿主-微生物相互作用的理解。综合研究动植物互惠网络的结构和影响因素，有助于揭示生态系统的稳定性和多样性维持机制。
生物信息中High-Order高阶关系研究论文集锦（3）
- 61. Signaling in Host-Associated Microbial Communities
- 62. Spatial structure, cooperation and competition in biofilms
- 63. Specialized Metabolites from the Microbiome in Health and Disease
- 64. Synthetic Ecology of Microbes: Mathematical Models and Applications
- 65. Systems-based approaches to unravel multi-species microbial community functioning
- 66. The Contribution of High-Order Metabolic Interactions to the Global Activity of a Four-Species Microbial Community
- 67. The dynamic core microbiome: Structure, dynamics and stability
- 68. The Ecology and Evolution of Microbial Competition
- 69. The ecology of the microbiome: Networks, competition, and stability
- 70. The feasibility and stability of large complex biological networks: a random matrix approach
- 71. The Google matrix controls the stability of structured ecological and biological networks
- 72. The human skin microbiome
- 73. The multilayer nature of ecological networks
- 74. The power and pitfalls of Dirichlet-multinomial mixture models for ecological count data
- 75. The validity of pairwise models in predicting community dynamics
- 76. Three-way interaction among plants, bacteria, and coleopteran insects
- 77. Toxin-antitoxin systems in bacterial growth arrest and persistence
- 78. Unravelling Darwin’s entangled bank: architecture and robustness of mutualistic networks with multiple interaction types
- 79. Viral insulin-like peptides activate human insulin and IGF-1 receptor signaling: A paradigm shift for host–microbe interactions
- 80. What Can Interaction Webs Tell Us About Species Roles?
- 81. 动植物互惠网络结构及影响因素
61. Signaling in Host-Associated Microbial Communities
- 宿主相关微生物群落中的信号转导
Abstract：Human-associated microbiota form and stabilize communities based on interspecies interactions. We review how these microbe-microbe and microbe-host interactions are communicated to shape communities over a human’s lifespan, including periods of health and disease. Modeling and dissecting signaling in host-associated communities is crucial to understand their function and will open the door to therapies that prevent or correct microbial community dysfunction to promote health and treat disease.
摘要：基于种间相互作用的人类相关微生物群形成并稳定社区。我们回顾了这些微生物 - 微生物和微生物 - 宿主间的相互作用如何在人类的寿命期（包括健康和疾病时期）中塑造社区。建模和解剖宿主相关社区的信号传导对于理
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