Persistence as an Optimal Hedging Strategy.

Bacteria Biological Evolution Computer Simulation Population Dynamics Stochastic Processes

Journal

Biophysical journal
ISSN: 1542-0086
Titre abrégé: Biophys J
Pays: United States
ID NLM: 0370626

Informations de publication

Date de publication:
05 01 2021
Historique:
received: 06 07 2020
revised: 07 10 2020
accepted: 05 11 2020
pubmed: 1 12 2020
medline: 15 5 2021
entrez: 30 11 2020
Statut: ppublish

Résumé

Bacteria invest in a slow-growing subpopulation, called persisters, to ensure survival in the face of uncertainty. This hedging strategy is remarkably similar to financial hedging, where diversifying an investment portfolio protects against economic uncertainty. We provide a new, to our knowledge, theoretical foundation for understanding cellular hedging by unifying the study of biological population dynamics and the mathematics of financial risk management through optimal control theory. Motivated by the widely accepted role of volatility in the emergence of persistence, we consider several models of environmental volatility described by continuous-time stochastic processes. This allows us to study an emergent cellular hedging strategy that maximizes the expected per capita growth rate of the population. Analytical and simulation results probe the optimal persister strategy, revealing results that are consistent with experimental observations and suggest new opportunities for experimental investigation and design. Overall, we provide a new, to our knowledge, way of conceptualizing and modeling cellular decision making in volatile environments by explicitly unifying theory from mathematical biology and finance.

Identifiants

DOI: 10.1016/j.bpj.2020.11.2260 PMID: 33253635 PMC: PMC7820789
pubmed: 33253635
pii: S0006-3495(20)33167-2
doi: 10.1016/j.bpj.2020.11.2260
pmc: PMC7820789
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

133-142

Informations de copyright

Copyright © 2020 Biophysical Society. Published by Elsevier Inc. All rights reserved.

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Auteurs

Alexander P Browning (AP)

School of Mathematical Sciences, Queensland University of Technology, Queensland, Australia; ARC Centre of Excellence for Mathematical and Statistical Frontiers, Queensland University of Technology, Queensland, Australia. Electronic address: ap.browning@qut.edu.au.

Jesse A Sharp (JA)

School of Mathematical Sciences, Queensland University of Technology, Queensland, Australia; ARC Centre of Excellence for Mathematical and Statistical Frontiers, Queensland University of Technology, Queensland, Australia.

Tarunendu Mapder (T)

School of Mathematical Sciences, Queensland University of Technology, Queensland, Australia; ARC Centre of Excellence for Mathematical and Statistical Frontiers, Queensland University of Technology, Queensland, Australia; Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana.

Christopher M Baker (CM)

School of Mathematical Sciences, Queensland University of Technology, Queensland, Australia; ARC Centre of Excellence for Mathematical and Statistical Frontiers, Queensland University of Technology, Queensland, Australia; School of Mathematics and Statistics, University of Melbourne, Melbourne, Australia.

Kevin Burrage (K)

School of Mathematical Sciences, Queensland University of Technology, Queensland, Australia; ARC Centre of Excellence for Mathematical and Statistical Frontiers, Queensland University of Technology, Queensland, Australia; Department of Computer Science, University of Oxford, Oxford, United Kingdom.

Matthew J Simpson (MJ)

School of Mathematical Sciences, Queensland University of Technology, Queensland, Australia.

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Classifications MeSH

questionsmedicales.fr › Bactéries › Persistence as an Optimal Hedging Strategy.
questionsmedicales.fr › Phénomènes biologiques › Évolution biologique › Persistence as an Optimal Hedging Strategy.
questionsmedicales.fr › Sciences de l'information › Méthodologies informatiques › Simulation numérique › Persistence as an Optimal Hedging Strategy.
questionsmedicales.fr › Environnement et santé publique › Santé publique › Mesures épidémiologiques › Démographie › Dynamique des populations › Persistence as an Optimal Hedging Strategy.
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Statistiques comme sujet › Processus stochastiques › Persistence as an Optimal Hedging Strategy.