Download pogen1a - eweb.furman.edu

Population Genetics
I. Basic Principles
Population Genetics
I. Basic Principles
A. Definitions:
- Population: a group of interbreeding organisms that share a
common gene pool; spatiotemporally and genetically defined
- Gene Pool: sum total of alleles held by individuals in a population
- Gene/Allele Frequency: % of genes at a locus of a particular allele
- Gene Array: % of all alleles at a locus: must sum to 1.
- Genotypic Frequency: % of individuals with a particular genotype
- Genotypic Array: % of all genotypes for loci considered = 1.
Population Genetics
I. Basic Principles
A. Definitions:
B. Basic computations:
1. Determining the Gene and Genotypic Array:
Individuals
AA
Aa
aa
60
80
60
(200)
Population Genetics
I. Basic Principles
A. Definitions:
B. Basic computations:
1. Determining the Gene and Genotypic Array:
AA
Aa
aa
Individuals
60
80
60
(200)
Genotypic
Array
60/200 =
0.30
80/200 = .40
60/200 =
0.30
=1
Population Genetics
I. Basic Principles
A. Definitions:
B. Basic computations:
1. Determining the Gene and Genotypic Array:
AA
Aa
aa
Individuals
60
80
60
(200)
Genotypic
Array
60/200 =
0.30
80/200 = .40
60/200 =
0.30
=1
''A' alleles
120
80
0
200/400 =
0.5
Population Genetics
I. Basic Principles
A. Definitions:
B. Basic computations:
1. Determining the Gene and Genotypic Array:
AA
Aa
aa
Individuals
60
80
60
(200)
Genotypic
Array
60/200 =
0.30
80/200 = .40
60/200 =
0.30
=1
''A' alleles
120
80
0
200/400 =
0.5
'a' alleles
0
80
120
200/400 =
0.5
Population Genetics
I. Basic Principles
A. Definitions:
B. Basic computations:
1. Determining the Gene and Genotypic Array
2. Short Cut Method:
- Determining the Gene Array from the Genotypic Array
a. f(A) = f(AA) + f(Aa)/2 = .30 + .4/2 = .30 + .2 = .50
b. f(a) = f(aa) + f(Aa)/2 = .30 + .4/2 = .30 + .2 = .50
KEY: The Gene Array CAN ALWAYS be computed from the genotypic
array; the process just counts alleles instead of genotypes. No assumptions
are made when you do this.
Population Genetics
I. Basic Principles
A. Definitions:
B. Basic computations:
C. Hardy-Weinberg Equilibrium:
1. If a population acts in a completely probabilistic manner, then:
- we could calculate genotypic arrays from gene arrays
- the gene and genotypic arrays would equilibrate in one generation
Population Genetics
I. Basic Principles
A. Definitions:
B. Basic computations:
C. Hardy-Weinberg Equilibrium:
1. If a population acts in a completely probabilistic manner, then:
- we could calculate genotypic arrays from gene arrays
- the gene and genotypic arrays would equilibrate in one generation
2. But for a population to do this, then the following assumptions
must be met (Collectively called Panmixia = total mixing)
- Infinitely large (no deviation due to sampling error)
- Random mating (to meet the basic tenet of random mixing)
- No selection, migration, or mutation (gene frequencies must not
change)
DO THESE LOOK FAMILIAR???
Population Genetics
I. Basic Principles
A. Definitions:
B. Basic computations:
C. Hardy-Weinberg Equilibrium:
Agents of Change
Mutation
N.S.
Recombination
- crossing over
- independent assortment
VARIATION
Sources of Variation
Drift
Migration
Mutation
Non-random Mating
So, if NO AGENTS are acting on a population,
then it will be in equilibrium and WON'T change.
Population Genetics
I. Basic Principles
A. Definitions:
B. Basic computations:
C. Hardy-Weinberg Equilibrium:
3. PROOF:
- Given a population with p + q = 1.
- If mating is random, then the AA, Aa and aa zygotes will be formed at p^2 + 2pq + q^2
- They will grow up and contribute genes to the next generation:
- All of the gametes produced by AA individuals will be A, and they will be produced at a
frequency of p^2
- 1/2 of the gametes of Aa will be A, and thus this would be 1/2 (2pq) = pq
- So, the frequecy of A gametes in the gametes will be p^2 + pq = p(p + q) = p(1) = p
- Likewise for the 'a' allele (remains at frequency of q).
- Not matter what the gene frequencies, if panmixia occurs than the population will
reach an equilibrium after one generation of random mating...
Population Genetics
I. Basic Principles
A. Definitions:
B. Basic computations:
C. Hardy-Weinberg Equilibrium:
Initial
genotypic freq.
Gene freq.
Genotypes, F1
Gene Freq's
Genotypes, F2
AA
Aa
aa
0.4
0.4
0.2
1.0
Population Genetics
I. Basic Principles
A. Definitions:
B. Basic computations:
C. Hardy-Weinberg Equilibrium:
Initial
genotypic freq.
Gene freq.
Genotypes, F1
Gene Freq's
Genotypes, F2
AA
Aa
aa
0.4
0.4
0.2
f(A) = p = .4 + .4/2 = 0.6
1.0
f(a) = q = .2 + .4/2 = 0.4
Population Genetics
I. Basic Principles
A. Definitions:
B. Basic computations:
C. Hardy-Weinberg Equilibrium:
Initial
genotypic freq.
Gene freq.
Genotypes, F1
Gene Freq's
Genotypes, F2
AA
Aa
aa
0.4
0.4
0.2
f(A) = p = .4 + .4/2 = 0.6
p ^2 = .36
2pq = .48
1.0
f(a) = q = .2 + .4/2 = 0.4
q^2 = .16
= 1.00
Population Genetics
I. Basic Principles
A. Definitions:
B. Basic computations:
C. Hardy-Weinberg Equilibrium:
Initial
genotypic freq.
Gene freq.
Genotypes, F1
Gene Freq's
Genotypes, F2
AA
Aa
aa
0.4
0.4
0.2
f(A) = p = .4 + .4/2 = 0.6
p ^2 = .36
2pq = .48
f(A) = p = .36 + .48/2 = 0.6
1.0
f(a) = q = .2 + .4/2 = 0.4
q^2 = .16
= 1.00
f(a) = q = .16 + .48/2 = 0.4
Population Genetics
I. Basic Principles
A. Definitions:
B. Basic computations:
C. Hardy-Weinberg Equilibrium:
Initial
genotypic freq.
Gene freq.
Genotypes, F1
Gene Freq's
Genotypes, F2
AA
Aa
aa
0.4
0.4
0.2
f(A) = p = .4 + .4/2 = 0.6
p ^2 = .36
2pq = .48
f(A) = p = .36 + .48/2 = 0.6
.36
.48
1.0
f(a) = q = .2 + .4/2 = 0.4
q^2 = .16
= 1.00
f(a) = q = .16 + .48/2 = 0.4
.16
1.00
Population Genetics
I. Basic Principles
A. Definitions:
B. Basic computations:
C. Hardy-Weinberg Equilibrium:
D. Utility
Population Genetics
I. Basic Principles
A. Definitions:
B. Basic computations:
C. Hardy-Weinberg Equilibrium:
D. Utility
1. If no real populations can explicitly meet these assumptions, how
can the model be useful?
Population Genetics
I. Basic Principles
A. Definitions:
B. Basic computations:
C. Hardy-Weinberg Equilibrium:
D. Utility
1. If no real populations can explicitly meet these assumptions, how
can the model be useful? It is useful for creating an expected model that real
populations can be compared against to see which assumption is most likely
being violated.
Population Genetics
I. Basic Principles
A. Definitions:
B. Basic computations:
C. Hardy-Weinberg Equilibrium:
D. Utility
1. If no real populations can explicitly meet these assumptions, how
can the model be useful? It is useful for creating an expected model that real
populations can be compared against to see which assumption is most likely
being violated.
2. Also, If HWCE is assumed and the frequency of homozygous
recessives can be measured, then the number of heterozygous carriers can
be estimated.
Population Genetics
I. Basic Principles
A. Definitions:
B. Basic computations:
C. Hardy-Weinberg Equilibrium:
D. Utility
1. If no real populations can explicitly meet these assumptions, how
can the model be useful? It is useful for creating an expected model that real
populations can be compared against to see which assumption is most likely
being violated.
2. Also, If HWCE is assumed and the frequency of homozygous
recessives can be measured, then the number of heterozygous carriers can
be estimated. For example: If f(aa) = .01, then estimate f(a) = .1 and f(A) must
be .99. f(Aa) = 2(.1)(.99) = 0.18 3. So, if there is a deficit of aa individuals in our
real population based on what we would expect if the population were in
HWE, we might now postulate that there is selection against this genotype,
for example.