4.5 Article

Hosts, microbiomes, and the evolution of critical windows

期刊

EVOLUTION LETTERS
卷 6, 期 6, 页码 412-425

出版社

JOHN WILEY & SONS LTD
DOI: 10.1002/evl3.298

关键词

Critical window; host evolution; microbiome

资金

  1. U.S. National Science Foundation [1754494]
  2. Direct For Biological Sciences [1754494] Funding Source: National Science Foundation
  3. Division Of Environmental Biology [1754494] Funding Source: National Science Foundation

向作者/读者索取更多资源

The absence of microbial exposure early in life can lead to immune overreaction later in life. Understanding the critical windows during which the host's immune system can learn tolerance is crucial. Animal models suggest that multiple mechanisms have evolved to enable critical windows, indicating strong evolutionary selection. By exploring the evolutionary ecology of critical windows, we found that both direct and indirect effects of microbes determine the optimal length of the critical window. Various factors such as transmission magnitude, infection duration, reinfection rates, host demography, and seasonality can influence the timing and likelihood of encounters with microbes, affecting the optimal length of the critical window. Decline in microbial population abundance and diversity may result in increased immune dysfunction. Our research provides insights into the impact of host-microbiome/pathogen interactions, dispersal, and the current loss of microbial diversity and infectious diseases on critical windows.
The absence of microbial exposure early in life leaves individuals vulnerable to immune overreaction later in life, manifesting as immunopathology, autoimmunity, or allergies. A key factor is thought to be a critical window during which the host's immune system can learn tolerance, and beyond which learning is no longer possible. Animal models indicate that many mechanisms have evolved to enable critical windows, and that their time limits are distinct and consistent. Such a variety of mechanisms, and precision in their manifestation suggest the outcome of strong evolutionary selection. To strengthen our understanding of critical windows, we explore their underlying evolutionary ecology using models encompassing demographic and epidemiological transitions, identifying the length of the critical window that would maximize fitness in different environments. We characterize how direct effects of microbes on host mortality, but also indirect effects via microbial ecology, will drive the optimal length of the critical window. We find that indirect effects such as magnitude of transmission, duration of infection, rates of reinfection, vertical transmission, host demography, and seasonality in transmission all have the effect of redistributing the timing and/or likelihood of encounters with microbial taxa across age, and thus increasing or decreasing the optimal length of the critical window. Declining microbial population abundance and diversity are predicted to result in increases in immune dysfunction later in life. We also make predictions for the length of the critical window across different taxa and environments. Overall, our modeling efforts demonstrate how critical windows will be impacted over evolution as a function of both host-microbiome/pathogen interactions and dispersal, raising central questions about potential mismatches between these evolved systems and the current loss of microbial diversity and/or increases in infectious disease.

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