生命共振：细菌群落中的代谢与社会交互
Resonance for life: Metabolism and Social Interactions in Bacterial Communities
AI总结：
本研究采用基于智能体的群体感应模型，探索细菌群落中代谢功能与社会行为的关系，发现各组成部分合作以最大化菌落整体健康的稳定状态，即生命共振。
摘要：
微生物的社会组织长期以来一直是生物学和社会学中引人入胜且极具挑战性的课题。在这些生物体中，个体的作用远不如群落的作用占主导地位，群落作为一个超个体发挥作用。这种协调是通过一种被称为群体感应的通信机制来实现的。当群落处于健康状态时，群体感应使其能够调节潜在有害个体的发展。本研究采用基于智能体的群体感应模型来探索代谢功能与社会行为之间的关系。它还研究了多物种培养如何响应其组成部分代谢特征的变化。最后，我们识别出一种特别稳定的条件，在该条件下各组成部分相互合作以最大化菌落的整体健康。我们将这种状态称为生命共振。
英文摘要：
The social organization of microorganisms has long been a fascinating and challenging subject in both biology and sociology. In these organisms, the role of the individual is far less dominant than that of the community, which functions as a superorganism. The coordination is achieved through a communication mechanism known as quorum sensing. When the community is healthy, quorum sensing enables it to regulate the development of potentially harmful individuals. This study employs an agent-based quorum sensing model to explore the relationship between metabolic functions and social behavior. It also examines how a polyculture responds to variations in the metabolic characteristics of its components. Finally, we identify a particularly stable condition in which the components cooperate to maximize the overall health of the colony. We refer to this state as resonance for life.
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