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. 2017 Jul 25;6:e25773. doi: 10.7554/eLife.25773

Appendix 1—figure 1. Phenotypic heterogeneity in the quorum-sensing model arises for diverse initial distributions.

Appendix 1—figure 1.

Bimodal quasi-stationary states arise for a broad class of initial distributions if the value of the response probability λ is small and an individual’s production degree is upregulated by the sense-and-response mechanism through quorum sensing (R(p)>p for some p[0,1]). Depicted is the temporal evolution of the histograms of production degrees (normalized values) as in Figure 2 of the main text. The monostable response function R(p)=p+0.2sin(πp) was chosen (see Figure 1B). (A, B) λ=0.05. Initially, the population consists of mainly non-producers (in (A) initial distribution piBeta(0.5,20) i.i.d. and in (B) initial distribution piBeta(4,20) i.i.d.). Due to the balance of fitness differences and sense-and-response through quorum sensing, the population splits into a heterogeneous population with producers and non-producers coexisting for long times. (C) λ=0.02. If the initial distribution of production degrees is centered around high production degrees (initial distribution piBeta(10,5) i.i.d.), the population may still evolve in time into a heterogeneous quasi-stationary state. However, the peak at the low-producing degree is typically located away from 0, that is, plow>0. These exemplary numerical results (A–C) are confirmed by the results of our mean-field theory: heterogeneous stationary distributions are the attractor of the mean-field dynamics (autoinducer equation (1) in the main text) for a broad range of initial distributions if conditions (i) R(p¯)=phigh>p¯ and (ii) λ<λup=s/2 are fulfilled (see main text). Note that ‘i.i.d.’ abbreviates ‘independent and identically distributed’. Parameters: selection strength s=0.2 and population size N=104.

DOI: http://dx.doi.org/10.7554/eLife.25773.013