文章基本信息

标题：Diversity of immune strategies explained by adaptation to pathogen statistics
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作者：Andreas Mayer ; Thierry Mora ; Olivier Rivoire 等
期刊名称：Proceedings of the National Academy of Sciences
印刷版ISSN：0027-8424
电子版ISSN：1091-6490
出版年度：2016
卷号：113
期号：31
页码：8630-8635
DOI：10.1073/pnas.1600663113
语种：English
出版社：The National Academy of Sciences of the United States of America
摘要：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.
关键词：immune systems ; CRISPR immunity ; adaptive immunity ; bet hedging ; evolution of immunity