Day Troy, Gandon Sylvain
Department of Mathematics, Jeffery Hall, Queen's University, Kingston, ON K7L 3N6, Canada.
Ecol Lett. 2007 Oct;10(10):876-88. doi: 10.1111/j.1461-0248.2007.01091.x.
Much of the existing theory for the evolutionary biology of infectious diseases uses an invasion analysis approach. In this Ideas and Perspectives article, we suggest that techniques from theoretical population genetics can also be profitably used to study the evolutionary epidemiology of infectious diseases. We highlight four ways in which population-genetic models provide benefits beyond those provided by most invasion analyses: (i) they can make predictions about the rate of pathogen evolution; (ii) they explicitly draw out the mechanistic way in which the epidemiological dynamics feed into evolutionary change, and thereby provide new insights into pathogen evolution; (iii) they can make predictions about the evolutionary consequences of non-equilibrium epidemiological dynamics; (iv) they can readily incorporate the effects of multiple host dynamics, and thereby account for phenomena such as immunological history and/or host co-evolution.
传染病进化生物学的现有理论大多采用入侵分析方法。在这篇观点与视角文章中,我们认为理论群体遗传学的技术也可有效地用于研究传染病的进化流行病学。我们强调群体遗传模型具有超越大多数入侵分析的四个优势:(i)它们能够预测病原体进化的速率;(ii)它们明确阐述了流行病学动态影响进化变化的机制,从而为病原体进化提供新的见解;(iii)它们能够预测非平衡流行病学动态的进化后果;(iv)它们能够轻松纳入多种宿主动态的影响,从而解释诸如免疫史和/或宿主共同进化等现象。