Natural Selection on semi-
& incompletely dominant phenotypes with Additive & Genic
fitness
In classical genetics, if the phenotype
of the AB genotype is precisely intermediate
between those of the two homozygous genotypes AA and
BB, A and B are described as semi-dominant. If
the phenotype of the AB genotype is intermediate
between AA & BB, but closer to that of
the AA than the AB genotype, A is
described as incompletely dominant
to B. If AB is closer to BB, then B
is the incompletely dominant allele.
A numerical example of semi-dominance
occurs when genotypes AA, AB, & BB are
assigned fitness values of W0 = 0.2, W1 = 0.4,
and W2 = 1.0. BB has the highest fitness:
with selection coefficient s = 0.4, the fitness
values would be written as WAA
= (1-2s), WAB = (1
- s), and WBB =
(1). Each A allele
contributes an additive selective
disadvantage of s = 0.4, so that
an AA homozygote is at twice the
disadvantage of the AB heterozygote.
In the table below, fitness in either Additive
of Genic fitness is (1 - s). Note that if s > 0.5, the additive fitness of AA homozygotes
W0 < 0 and therefore undefined. For s < 0.5,
fitness is positive though initially low.
Note once again that, if B is
incompletely dominant to A, it is not because
B has superior fitness (and might be said to "dominate"
the other allele), but because the AB phenotype is
intermediate between that of the AA and BB.
Genetic dominance is a genotypic, not a phenotypic,
relationship.Nor does it make a difference if f(B) >
f(A), or f(B) < f(A) such that one allele
could be to 'predominate' the other.
Compare this model with that
for Genic (Multiplicative)
fitness. Again, let initial q = f(B)
= 0.001. Using the notation of selection
coefficients with s = 0.4 as above, WBB = (1), WAB
= (1 - s), and WAA = (1 - s)(1
- s) = (1 - s)2
, so W2 = 1.0 , W1 = 0.4,
and W0 = 0.36. That is, each A allele
reduces fitness by a factor
of (1 - s). The
fitness effect of a single allele is (1 - s)
in either model. However, the two
models make very different predictions about dq
over the range 0.1 ~ s ~ 0.5. At smaller
values of s, the expected difference between
models becomes negligible and too small to be
measured. This is because genic fitness (1 - s)2
= 1 - 2s + s2 ~ (1 -
2s) as in additive fitness, when s2
<< 2s or s << 2.
Simple additive dominance may be typical
at many gene loci, where the phenotype is a consequence of
equal expression by both alleles. For
example, each allele at a protein-coding locus may
contribute half the total amount of gene
product. This might explain so-called "null alleles"
in protein electrophoresis, in which one allele produces
no product, and only one band is seen. The other,
functional allele that produces 50% of the
expected gene product may (or may not) provide sufficient
enzyme product for standard phenotypic expression. Incomplete
genic dominance may be typical at gene loci,
where the phenotype is (much) more strongly influenced by
one allele than the other. For example, given a null
allele that produces no gene product, the standard allele
may be "up-regulated" so that the amount of
gene product in the AB heterozygote is (much)
closer to that of the AA homozygote.
It remains a major point of
contention what fraction of heterozygous allelic variation
detected originally by protein electrophoresis and
(or) nowadays by DNA sequencing has any
measurable effect on the observed phenotype relative to
that of the homozygotes, as is clear from the math above.
The so-called "Neutralist -
Selectionist" controversy will be discussed
elsewhere in the course.
HOMEWORK:
(1) For an initial qo = f(B)
=
0.000001
OR AS INSTRUCTED, use the GSM worksheet in Excel to run the
(1) Additive and (2) Genic
selection models for s≼ 0.5 in
the table below. At what values do the curves
deviate and (or) converge on each other? Why?
(2) For an initial qo = f(B)
= 0.000001 OR AS INSTRUCTED, use the GSM Worksheet
to run the Semi Dominance
model.
(3) Can you use the GSM to simulate Haploid Selection? Why or
why not?

Table &
text material © 2025 by Steven
M. Carr