Calculations of population differentiation based on $G_ST$ and $D$: forget $G_ST$ but not all of statistics!

View Researcher's Other Codes

Disclaimer: The provided code links for this paper are external links. Science Nest has no responsibility for the accuracy, legality or content of these links. Also, by downloading this code(s), you agree to comply with the terms of use as set out by the author(s) of the code(s).

Authors Gabriele Gerlach, Alexander Jueterbock, Philipp Kraemer, Jana Deppermann, Peter Harmand Institute of Biology and Environmental Sciences, Carl von Ossietzky University Oldenburg, Oldenburg, Germany
Journal/Conference Name MOLECULAR ECOLOGY
Paper Category
Paper Abstract GST-values and its relatives (FST) belong to the most used parameters to define genetic differences between populations. Originally, they were developed for allozymes with very low number of alleles. Using highly polymorphic microsatellite markers it was often puzzling that GST-values were very low but statistically significant. In their papers, Jost (2008) and Hedrick (2005) explained that GST-values do not show genetic differentiation, and Jost suggested calculating D-values instead. Theoretical mathematical considerations are often difficult to follow; therefore, we chose an applied approach comparing two artificial populations with different number of alleles at equal frequencies and known genetic divergence. Our results show that even for more than one allele per population GST-values do not calculate population differentiation correctly; in contrast, D-values do reflect the genetic differentiation indicating that data based on GST-values need to be re-evaluated. In our approach, statistical evaluations remained similar. We provide information about the impact of different sample sizes on D-values in relation to number of alleles and genetic divergence.
Date of publication 2010
Code Programming Language R
Comment

Copyright Researcher 2022