Department of Mathematics and Statistics, Queen's University, Ontario, Canada.
J R Soc Interface. 2010 Apr 6;7(45):561-71. doi: 10.1098/rsif.2009.0448. Epub 2009 Dec 2.
Evolutionary invasion analysis is a powerful technique for modelling in evolutionary biology. The general approach is to derive an expression for the growth rate of a mutant allele encoding some novel phenotype, and then to use this expression to predict long-term evolutionary outcomes. Mathematically, such 'invasion fitness' expressions are most often derived using standard linear stability analyses from dynamical systems theory. Interestingly, there is a mathematically equivalent approach to such stability analyses that is often employed in mathematical epidemiology, and that is based on so-called 'next-generation' matrices. Although this next-generation matrix approach has sometimes also been used in evolutionary invasion analyses, it is not yet common in this area despite the fact that it can sometimes greatly simplify calculations. The aim of this article is to bring the approach to a wider evolutionary audience in two ways. First, we review the next-generation matrix approach and provide a novel, and easily intuited, interpretation of how this approach relates to more standard techniques. Second, we illustrate next-generation methods in evolutionary invasion analysis through a series of informative examples. Although focusing primarily on evolutionary invasion analysis, we provide several insights that apply to biological modelling in general.
进化入侵分析是进化生物学中一种强大的建模技术。一般的方法是推导出一个描述编码某种新表型的突变等位基因增长率的表达式,然后使用这个表达式来预测长期的进化结果。从数学上讲,这种“入侵适应性”表达式通常是使用动力系统理论中的标准线性稳定性分析推导出来的。有趣的是,在数学流行病学中,有一种在数学上等价的稳定性分析方法,它基于所谓的“下一代”矩阵。虽然这种下一代矩阵方法有时也被用于进化入侵分析,但在这个领域并不常见,尽管它有时可以大大简化计算。本文的目的是通过两种方式将这种方法介绍给更广泛的进化生物学家群体。首先,我们回顾了下一代矩阵方法,并提供了一种新颖的、易于理解的解释,说明这种方法与更标准的技术有何关联。其次,我们通过一系列有启发性的例子说明了下一代方法在进化入侵分析中的应用。虽然主要关注进化入侵分析,但我们提供了一些适用于一般生物建模的见解。