Predicting Shannon’s information for genes in finite populations: new uses for old equations

摘要: This study provides predictive equations for Shannon’s information in a finite population, which are intuitive and simple enough to see wide scale use molecular ecology population genetics. A comprehensive profile of genetic diversity contains three complementary components: numbers allelic types, heterozygosity. Currently heterozygosity has greater resources than information, such as more models integration into mainstream genetics software. However, several advantages over measure diversity, so it is important develop new tool ecology. Past efforts at making forecasts specific scenarios mostly dealt with expectations equilibrium, but dynamic also vital. In particular, we must be able predict loss when dealing populations, because they risk losing variability, can have an adverse effect on their survival. We present predicting measured by information. provide statistical justification these assessing fit data derived from simulations managed, replicated laboratory populations. The will enhance the usefulness diversity; useful pest control conservation.