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10.7554/eLife.08208.007 Figure 5. Dynamics of the E. coli microbial community model.
The microbial community model was simulated using the MCM command runMCM.
We constructed a microbial community model comprising the ancestral and the evolved strains, which we calibrated using separate monoculture experiments.
All other model parameters are identical to the microbial community model (comprising the A, SS and FS types) described in the main article.
Our main contribution is the computational framework, MCM, which combines microbial community model construction with statistical model evaluation, sensitivity analysis and automated, statistically rigorous calibration to data.
In particular, no information from co-culture experiments was used in the setup of the microbial community model, and thus there was no a priori knowledge about what the emergent community dynamics would be.
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MCM is a mathematical and computational framework for the construction, simulation, statistical analysis and calibration of microbial community models.
There we explain the underlying concepts and clarify our contributions to the field of microbial community modeling (last paragraph).
Finally, we emphasize that MCM is, after all, merely a framework enabling the construction, calibration and analysis of microbial community models.
Consequently, the experimental validation of genome-based microbial community models and their application to biological questions are rare (Meadows et al., 2010; Harcombe et al., 2014).
Experiments and monitoring of environmental samples could provide valuable data to calibrate microbial community models, for example, via statistical parameter estimation, but appropriate tools are lacking.
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