Diversity of immune strategies explained by adaptation to pathogen statistics

Biological organisms have evolved a wide range of immune mechanisms to defend themselves against pathogens. Beyond molecular details, these mechanisms differ in how protection is acquired, processed, and passed on to subsequent generations-differences that may be essential to long-term survival. Her...

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Veröffentlicht in:Proceedings of the National Academy of Sciences - PNAS Jg. 113; H. 31; S. 8630
Hauptverfasser: Mayer, Andreas, Mora, Thierry, Rivoire, Olivier, Walczak, Aleksandra M
Format: Journal Article
Sprache:Englisch
Veröffentlicht: United States 02.08.2016
Schlagworte:
Adaptation, Physiological - immunology
Adaptive Immunity - immunology
Algorithms
Animals
Biological Evolution
Computer Simulation
Humans
Immunity, Innate - immunology
Models, Immunological
CRISPR immunity
bet hedging
evolution of immunity
adaptive immunity
immune systems
ISSN:1091-6490, 1091-6490
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Zusammenfassung:Biological organisms have evolved a wide range of immune mechanisms to defend themselves against pathogens. Beyond molecular details, these mechanisms differ in how protection is acquired, processed, and passed on to subsequent generations-differences that may be essential to long-term survival. Here, we introduce a mathematical framework to compare the long-term adaptation of populations as a function of the pathogen dynamics that they experience and of the immune strategy that they adopt. We find that the two key determinants of an optimal immune strategy are the frequency and the characteristic timescale of the pathogens. Depending on these two parameters, our framework identifies distinct modes of immunity, including adaptive, innate, bet-hedging, and CRISPR-like immunities, which recapitulate the diversity of natural immune systems.
Bibliographie:ObjectType-Article-1
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ISSN:1091-6490
1091-6490
DOI:10.1073/pnas.1600663113