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. 2020 Jul 31;117(33):19694–19704. doi: 10.1073/pnas.1920263117

Fig. 1.

Fig. 1.

Modes and leverage of eco-evolutionary control. A pathogen population with mean trait Γ under control with amplitude ζ lives in a free fitness landscape ψp(Γ,ζ) (orange lines), which is the sum of a background component ψb(Γ) (blue lines) and a control landscape fc(Γ,ζ). An evolutionary path from the wild type Γwt to an optimal evolved state Γe* involves the control leverage Θc=2Npe[fc(Γe*,ζ)fc(Γwt,ζ)] (orange arrows) and a change in background free fitness, Θb=ψb(Γe*)ψb(Γwt) (blue arrows). (A) Ecological control, starting from an uncontrolled wild-type pathogen (blue dots), has the objective of reducing the pathogen’s carrying capacity (green arrows)—here by antibody binding—and the collateral effect of resistance evolution (red arrows). SC (Θc+Θb<0) suppresses the evolution of resistance and generates a stable wild type (orange dot; i.e., the reverse path from Γe* to Γwt fulfils the minimum-leverage condition [5]). WC (Θc+Θb>0) triggers the evolution of resistance (orange circle). (B) Evolutionary control has the objective of eliciting a new pathogen trait (green arrow) and the collateral of increasing its carrying capacity (red arrow). Dynamical control elicits the evolved trait along a path of positively selected trait increments, which requires elevated transient control amplitudes (dotted orange line). SC (Θc+Θb>0) generates a stable evolved trait (orange dot; i.e., the path from Γwt to Γe* fulfils the minimum-leverage condition [5]). WC (Θc+Θb<0) cannot elicit an evolved state (or triggers a reversal to the wild type).