Journal
JOURNAL OF THE ROYAL SOCIETY INTERFACE
Volume 12, Issue 108, Pages -Publisher
ROYAL SOC
DOI: 10.1098/rsif.2015.0121
Keywords
bacterial interactions; frequency-dependent selection; Lotka-Volterra equations; nonlinear dynamics; population dynamics
Categories
Funding
- International Max Planck Research School for Evolutionary Biology
- DFG [Bo 848/17-2, FR 3041/2-1]
- Deutsche Akademie der Naturforscher Leopoldina [LPDS 2012-12]
- Clusters of Excellence 'The Future Ocean' and 'Inflammation at Interfaces'
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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.
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