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. 2016 Mar 8;113(13):3639–3644. doi: 10.1073/pnas.1525637113

Fig. S6.

Fig. S6.

Predicting the impact of evenness and mixing on T6S-mediated killing in vivo. (A) A mathematical model parameterized using time-series measurements from gnotobiotic mice predicts that the number of killing events peaks when donors and recipients each make up 50% of the community, maximizing the likelihood of encounters between the two cell types. (B) If the D and S populations each constitute 50% of the microbiome, the rate of killing is highest when there is complete spatial mixing, because this also maximizes encounters between donors and recipients. In A and B, the thick line is the model prediction based on the mean transmission rate β, and the dashed lines represent the 95% confidence intervals of the mean.