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Macrophages use a bet-hedging strategy for antimicrobial activity in phagolysosomal acidification
Quigly Dragotakes, Kaitlin M. Stouffer, Man Shun Fu, Yehonatan Sella, Christine Youn, Olivia Insun Yoon, Carlos M. De Leon-Rodriguez, Joudeh B. Freij, Aviv Bergman, Arturo Casadevall
Quigly Dragotakes, Kaitlin M. Stouffer, Man Shun Fu, Yehonatan Sella, Christine Youn, Olivia Insun Yoon, Carlos M. De Leon-Rodriguez, Joudeh B. Freij, Aviv Bergman, Arturo Casadevall
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Research Article Cell biology Immunology

Macrophages use a bet-hedging strategy for antimicrobial activity in phagolysosomal acidification

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Abstract

Microbial ingestion by a macrophage results in the formation of an acidic phagolysosome but the host cell has no information on the pH susceptibility of the ingested organism. This poses a problem for the macrophage and raises the fundamental question of how the phagocytic cell optimizes the acidification process to prevail. We analyzed the dynamical distribution of phagolysosomal pH in murine and human macrophages that had ingested live or dead Cryptococcus neoformans cells, or inert beads. Phagolysosomal acidification produced a range of pH values that approximated normal distributions, but these differed from normality depending on ingested particle type. Analysis of the increments of pH reduction revealed no forbidden ordinal patterns, implying that the phagosomal acidification process was a stochastic dynamical system. Using simulation modeling, we determined that by stochastically acidifying a phagolysosome to a pH within the observed distribution, macrophages sacrificed a small amount of overall fitness to gain the benefit of reduced variation in fitness. Hence, chance in the final phagosomal pH introduces unpredictability to the outcome of the macrophage-microbe, which implies a bet-hedging strategy that benefits the macrophage. While bet hedging is common in biological systems at the organism level, our results show its use at the organelle and cellular level.

Authors

Quigly Dragotakes, Kaitlin M. Stouffer, Man Shun Fu, Yehonatan Sella, Christine Youn, Olivia Insun Yoon, Carlos M. De Leon-Rodriguez, Joudeh B. Freij, Aviv Bergman, Arturo Casadevall

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Figure 5

Simulated macrophage populations show stochastic pH as bet-hedging strategy.

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Simulated macrophage populations show stochastic pH as bet-hedging strat...
Success of host-microbe interactions are visualized as macrophage populations faced with randomly selected pathogens and acidified to random pHs from normal distributions of mean μ and standard deviation σ. Meshes represent host macrophage fitness, deviation in fitness, and log mean fitness. Plotted points represent measured data of H99-containing murine (red) and human (magenta) or bead-containing murine (blue) and human (cyan) phagolysosomes. (A) Mean macrophage survival (z axis, color bar) increases significantly as pH lowers, and mostly unchanged with standard deviation. (B) Examples of simulated populations based on colored points in A. Each combination of mean and SD from the axes of A represent a unique population of macrophages with a fitness represented by the Z axis and colored mesh. (C) Deviation in host fitness (z axis, color bar) dramatically decreases by increasing standard deviation of pH, and mostly unaffected by shifts in mean pH. (D) Logarithmic measurement of host fitness (z axis, color bar) to observe long term trends applicable to a bet-hedging strategy.

Copyright © 2026 American Society for Clinical Investigation
ISSN: 0021-9738 (print), 1558-8238 (online)

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