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Usage Information

Macrophages use a bet-hedging strategy for antimicrobial activity in phagolysosomal acidification
Quigly Dragotakes, … , Aviv Bergman, Arturo Casadevall
Quigly Dragotakes, … , Aviv Bergman, Arturo Casadevall
Published April 16, 2020
Citation Information: J Clin Invest. 2020;130(7):3805-3819. https://doi.org/10.1172/JCI133938.
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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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Usage data is cumulative from May 2024 through May 2025.

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