Towards robust evolutionary inference with integral projection models
Towards robust evolutionary inference with integral projection models
复制标题
使用积分投影模型进行稳健的进化推理
DOI：
--
复制
发表时间：
2016
期刊：
影响因子：
--
通讯作者：
M. Morrissey
中科院分区：
文献类型：
--
作者：
M. J. Janeiro;D. Coltman;M. Festa‐Bianchet;F. Pelletier;M. Morrissey
积分投影模型（IPMs）是一种非常灵活的生态和进化推理工具。IPMs通过描述表型依赖的发育、遗传、生存和繁殖力的功能，追踪表型在种群中的分布。对于进化推断，任何模型的两个重要特征是能够(i)描述个体内部特征之间的关系（包括不同年龄的相同特征的值），以及（ii）描述个体与其后代之间的相似性。在IPM分析中，前者依赖于每个年龄观察到的性状值对前一个年龄值的回归（发育函数），后者依赖于出生时后代值对成年后父母值的回归（遗传函数）。我们通过分析表明，以这种方式表征的发育函数通常会低估各年龄特征值的协方差，这是由于跨投影步骤回归均值的复合。同样，我们表明，以这种方式表征的遗传与现代对遗传的理解不一致，并且低估了亲属表型相似的程度。此外，我们表明，使用恒定的生物特征遗传函数，特别是恒定的截距，是与进化不相容的。因此，目前ipm的实现将预测很少或没有表型进化，纯粹作为其构建的工件。我们提出了基于定量遗传方法构建发育和遗传函数的替代方法，并通过对大角羊种群的分析和经验示例展示了它们如何能够潜在地恢复对进化推断至关重要的模式。
Integral projection models (IPMs) are extremely flexible tools for ecological and evolutionary inference. IPMs track the distribution of phenotype in populations through time, using functions describing phenotype-dependent development, inheritance, survival and fecundity. For evolutionary inference, two important features of any model are the ability to (i) characterize relationships among traits (including values of the same traits across ages) within individuals, and (ii) characterize similarity between individuals and their descendants. In IPM analyses, the former depends on regressions of observed trait values at each age on values at the previous age (development functions), and the latter on regressions of offspring values at birth on parent values as adults (inheritance functions). We show analytically that development functions, characterized this way, will typically underestimate covariances of trait values across ages, due to compounding of regression to the mean across projection steps. Similarly, we show that inheritance, characterized this way, is inconsistent with a modern understanding of inheritance, and underestimates the degree to which relatives are phenotypically similar. Additionally, we show that the use of a constant biometric inheritance function, particularly with a constant intercept, is incompatible with evolution. Consequently, current implementations of IPMs will predict little or no phenotypic evolution, purely as artifacts of their construction. We present alternative approaches to constructing development and inheritance functions, based on a quantitative genetic approach, and show analytically and through an empirical example on a population of bighorn sheep how they can potentially recover patterns that are critical to evolutionary inference.
影响因子：
3.3
作者：
S. Pletcher;C. Geyer
通讯作者：
S. Pletcher;C. Geyer
DOI：
10.1111/j.2044-8317.1984.tb00802.x
发表时间：
1984-01-01
影响因子：
2.6
作者：
MCARDLE, JJ;MCDONALD, RP
通讯作者：
MCDONALD, RP