title: Natural selection. VI. Partitioning the information in fitness and characters by path analysis.
abstract: Three steps aid in the analysis of selection. First, describe phenotypes by their component causes. Components include genes, maternal effects, symbionts and any other predictors of phenotype that are of interest. Second, describe fitness by its component causes, such as an individual's phenotype, its neighbours' phenotypes, resource availability and so on. Third, put the predictors of phenotype and fitness into an exact equation for evolutionary change, providing a complete expression of selection and other evolutionary processes. The complete expression separates the distinct causal roles of the various hypothesized components of phenotypes and fitness. Traditionally, those components are given by the covariance, variance and regression terms of evolutionary models. I show how to interpret those statistical expressions with respect to information theory. The resulting interpretation allows one to read the fundamental equations of selection and evolution as sentences that express how various causes lead to the accumulation of information by selection and the decay of information by other evolutionary processes. The interpretation in terms of information leads to a deeper understanding of selection and heritability, and a clearer sense of how to formulate causal hypotheses about evolutionary process. Kin selection appears as a particular type of causal analysis that partitions social effects into meaningful components.
authors: Department of Ecology and Evolutionary Biology, University of California, Irvine, CA 92697-2525, USA. safrank@uci.edu
authors: S A
authors: SA
authors: Frank
mesh_terms: D000483:Alleles; D000818:Animals; D019143:Evolution, Molecular; D005787:Gene Frequency; D056084:Genetic Fitness; D005828:Genetics, Population / Q000379:methods; D040582:Inheritance Patterns; D008957:Models, Genetic; D010641:Phenotype; D012044:Regression Analysis; D012641:Selection, Genetic; D012919:Social Behavior