Population genetics is the study of the
allele frequency distribution and change under the influence of the four evolutionary processes:
natural selection,
genetic drift,
mutation and
gene flow. It also takes account of population subdivision and population structure in space. As such, it attempts to explain such phenomena as
adaptation and
speciation. Population genetics was a vital ingredient in the
modern evolutionary synthesis, its primary founders were
Sewall Wright,
J. B. S. Haldane and
R. A. Fisher, who also laid the foundations for the related discipline of
quantitative genetics.
Scope and theoretical considerations
The framework of mathematical population genetics is an important achievement of the
modern evolutionary synthesis. According to Beatty (1986), for example, it defines the core of the modern synthesis.
According to
Lewontin (1974) the theoretical task for population genetics is a process in two spaces: a "genotypic space" and a "phenotypic space". The challenge of a
complete theory of population genetics is to provide a set of laws that predictably map a population of
genotypes (
G1) to a
phenotype space (
P1), where
selection takes place, and another set of laws that map the resulting population (
P2) back to genotype space (
G2) where
Mendelian genetics can predict the next generation of genotypes, thus completing the cycle. Even leaving aside for the moment the non-Mendelian aspects of
molecular genetics, this is clearly a gargantuan task. Visualizing this transformation schematically:
\stackrel{T_4}{\rightarrow} \; G_1' \; \rightarrow \cdots
(adapted from Lewontin 1974, p. 12). XD
T1 represents the genetic and
epigenetic laws, the aspects of functional biology, or
development, that transform a genotype into phenotype. We will refer to this as the "
genotype-phenotype map".
T2 is the transformation due to natural selection,
T3 are epigenetic relations that predict genotypes based on the selected phenotypes and finally
T4 the rules of Mendelian genetics.
In practice, there are two bodies of evolutionary theory that exist in parallel, traditional population genetics operating in the genotype space and the
biometric theory used in
plant and
animal breeding, operating in phenotype space. The missing part is the mapping between the genotype and phenotype space. This leads to a "sleight of hand" (as Lewontin terms it) whereby variables in the equations of one domain, are considered parameters or
constants, where, in a full-treatment they would be transformed themselves by the evolutionary process and are in reality
functions of the state variables in the other domain. The "sleight of hand" is assuming that we know this mapping. Proceeding as if we do understand it is enough to analyze many cases of interest. For example, if the phenotype is almost one-to-one with genotype (
sickle-cell disease) or the time-scale is sufficiently short, the "constants" can be treated as such; however, there are many situations where it is inaccurate.
Genetic structure
Because of physical barriers to migration, along with limited
vagility, and natal
philopatry, natural populations are rarely
panmictic (Buston
et al., 2007). There is usually a geographic range within which individuals are more closely
related to one another than those randomly selected from the general population. This is described as the extent to which a population is genetically structured (Repaci
et al., 2007).
Population geneticists
The three founders of population genetics were the Britons
R.A. Fisher and
J.B.S. Haldane and the American
Sewall Wright. Fisher and Wright had some fundamental disagreements and a controversy about the relative roles of selection and drift continued for much of the century between the Americans and the British. The Frenchman
Gustave Malécot was also important early in the development of the discipline.
John Maynard Smith was Haldane's pupil, whilst
W.D. Hamilton was heavily influenced by the writings of Fisher. The American
George R. Price worked with both Hamilton and Maynard Smith. American
Richard Lewontin and Japanese
Motoo Kimura were heavily influenced by Wright.
See also