| Literature DB >> 27432970 |
Andreas Mayer1, Thierry Mora2, Olivier Rivoire3, Aleksandra M Walczak1.
Abstract
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.Entities:
Keywords: CRISPR immunity; adaptive immunity; bet hedging; evolution of immunity; immune systems
Mesh:
Year: 2016 PMID: 27432970 PMCID: PMC4978245 DOI: 10.1073/pnas.1600663113
Source DB: PubMed Journal: Proc Natl Acad Sci U S A ISSN: 0027-8424 Impact factor: 11.205