Which games are growing bacterial populations playing?
Which games are growing bacterial populations playing?
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DOI：
10.1098/rsif.2015.0121
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发表时间：
2015-07-06
期刊：
影响因子：
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通讯作者：
Traulsen A
中科院分区：
文献类型：
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作者：
Li XY;Pietschke C;Fraune S;Altrock PM;Bosch TC;Traulsen A
微生物群落在频率和绝对密度上都表现出复杂的种群动态。进化博弈论通过研究参与者之间的详细互动，包括竞争和冲突，合作和共存，提供了一种自然的方法来分析和建模这种复杂性。经典的进化博弈论模型通常假设种群规模恒定，这通常不适用于微生物种群。在这里，我们明确考虑人口增长与频率相关的增长参数，在我们的实验系统中观察到的。我们研究了在体外的人口动态的两个寄生细菌（弯杆菌属（AEP1.3）和杜氏菌属（C1.2）），协同保护后生动物宿主水螅（AEP）真菌感染。在我们的实验中观察到的频率依赖性，非线性增长率表明，在共培养细菌之间的相互作用是超越了简单的直接竞争的情况下，或等价的，成对游戏。这与体内观察到的抗真菌活性的协同效应一致。我们的分析为适当理解和预测这种微生物群落动态中的共存或灭绝事件所需的最低程度的复杂性提供了新的见解。我们的方法扩展了对微生物群落的理解，并指出了新的实验。
Microbial communities display complex population dynamics, both in frequency and absolute density. Evolutionary game theory provides a natural approach to analyse and model this complexity by studying the detailed interactions among players, including competition and conflict, cooperation and coexistence. Classic evolutionary game theory models typically assume constant population size, which often does not hold for microbial populations. Here, we explicitly take into account population growth with frequency-dependent growth parameters, as observed in our experimental system. We study the in vitro population dynamics of the two commensal bacteria (Curvibacter sp. (AEP1.3) and Duganella sp. (C1.2)) that synergistically protect the metazoan host Hydra vulgaris (AEP) from fungal infection. The frequency-dependent, nonlinear growth rates observed in our experiments indicate that the interactions among bacteria in co-culture are beyond the simple case of direct competition or, equivalently, pairwise games. This is in agreement with the synergistic effect of anti-fungal activity observed in vivo. Our analysis provides new insight into the minimal degree of complexity needed to appropriately understand and predict coexistence or extinction events in this kind of microbial community dynamics. Our approach extends the understanding of microbial communities and points to novel experiments.