Applying population-genetic models in theoretical evolutionary epidemiology

被引:118
作者
Day, Troy
Gandon, Sylvain
机构
[1] Queens Univ, Dept Math, Kingston, ON K7L 3N6, Canada
[2] Queens Univ, Dept Stat, Kingston, ON K7L 3N6, Canada
[3] Queens Univ, Dept Biol, Kingston, ON K7L 3N6, Canada
[4] IRD, CNRS, IRD, UMR 2724, F-34394 Montpellier 5, France
关键词
antigenic evolution; drug resistance; epidemiology; infectious diseases; parasite; pathogen; virulence; QUASI-SPECIES THEORY; CHARACTER DISPLACEMENT; INFECTIOUS-DISEASES; PARASITE VIRULENCE; ADAPTIVE DYNAMICS; NATURAL-SELECTION; RNA VIRUSES; TRADE-OFF; PATHOGENS; HOST;
D O I
10.1111/j.1461-0248.2007.01091.x
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
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.
引用
收藏
页码:876 / 888
页数:13
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