Basic idea behind the Wright-Fisher model
Wright-Fisher Model is the simplified
version of biological life cycle. The Wright-Fisher model shows the sampling of
alleles in a population where there is no selection, no mutation, no migration,
non-overlapping generation times and random mating.
The basic idea of this model is to extend and generalize the model of
genetic drift in a biological population that reduces the complexity of
sampling error.
Some assumptions made by
Wright-Fisher Model are very much similar to Hardy–Weinberg assumption although
a bit exception in finite population rather than approaching infinite. These
assumptions are as follows-
Population generations are
non-overlapping, equal fitness all the time and constant population size
through time. These assumptions are the basic factors to reduce sampling error
and schematic of the biological life cycle which explain the model of genetic
drift.
Written by:
Md. Rayhan
Mahmud
Research
student, Department of Ecology and Population Genetics
University
of Oulu, Finland
M.Sc. in
Microbiology, Jagannath University, Bangladesh
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