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Population Genetics: Selection and mutation as mechanisms of evolution. Population genetics: study of Mendelian genetics at the level of the whole population. Hardy-Weinberg Equilibrium.

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population genetics selection and mutation as mechanisms of evolution
Population Genetics: Selection and mutation as mechanisms of evolution
  • Population genetics: study of Mendelian genetics at the level of the whole population.
hardy weinberg equilibrium
Hardy-Weinberg Equilibrium
  • To understand the conditions under which evolution can occur, it is necessary to understand the population genetic conditions under which it will not occur.
hardy weinberg equilibrium1
Hardy-Weinberg Equilibrium
  • The Hardy-Weinberg Equilibrium Principle allows us do this. It enables us to predict allele and genotype frequencies from one generation to the next in the absence of evolution.
hardy weinberg equilibrium2
Hardy-Weinberg Equilibrium
  • Assume a gene with two alleles A and a with known frequencies (e.g. A = 0.6, a = 0.4.)
  • There are only two alleles in the population so their frequencies must add up to 1.
hardy weinberg equilibrium3
Hardy-Weinberg Equilibrium
  • Using allele frequencies we can predict the expected frequencies of genotypes in the next generation.
  • With two alleles only three genotypes are possible: AA, Aa and aa
hardy weinberg equilibrium4
Hardy-Weinberg Equilibrium
  • Assume alleles A and a are present in eggs and sperm in proportion to their frequency in population (i.e. 0.6 and 0.4)
  • Also assume that sperm and eggs meet at random (one big gene pool).
hardy weinberg equilibrium5
Hardy-Weinberg Equilibrium
  • Then we can calculate expected genotype frequencies.
  • AA: To produce an AA individual, egg and sperm must each contain an A allele.
  • This probability is 0.6 x 0.6 = 0.36 (probability sperm contains A times probability egg contains A).
hardy weinberg equilibrium6
Hardy-Weinberg Equilibrium
  • Similarly, we can calculate frequency of aa.
  • 0.4 x 04 = 0.16.
hardy weinberg equilibrium7
Hardy-Weinberg Equilibrium
  • Probability of Aa is given by probability sperm contains A (0.6) times probability egg contains a (0.4). 0.6 x 04 = 0.24.
hardy weinberg equilibrium8
Hardy-Weinberg Equilibrium
  • But, there’s a second way to produce an Aa individual (egg contains A and sperm contains a). Same probability as before: 0.6 x 0.4= 0.24.
  • Hence the overall probability of Aa = 0.24 + 0.24 = 0.48.
hardy weinberg equilibrium9
Hardy-Weinberg Equilibrium
  • Genotypes in next generation:
  • AA = 0.36
  • Aa = 0.48
  • Aa= 0.16
  • These frequencies add up to one.
hardy weinberg equilibrium10
Hardy-Weinberg Equilibrium
  • General formula for Hardy-Weinberg.
  • Let p= frequency of allele A and q = frequency of allele a.
  • p2 + 2pq + q2 = 1.
hardy weinberg equilibrium with more than 2 alleles
Hardy Weinberg Equilibrium with more than 2 alleles
  • If three alleles with frequencies P1, P2 and P3 such thatP1 + P2 + P3 = 1
  • Then genotype frequencies given by:
  • P12 + P22 + P32 + 2P1P2 + 2P1 P3 +

2P2P3

conclusions from hardy weinberg equilibrium
Conclusions from Hardy-Weinberg Equilibrium
  • Allele frequencies in a population will not change from one generation to the next just as a result of assortment of alleles and zygote formation.
  • Assortment of alleles simply means what occurs during meiosis when only one copy of each pair of alleles enters any given gamete (remember each gamete only contains half the DNA of a body cell).
conclusions from hardy weinberg equilibrium1
Conclusions from Hardy-Weinberg Equilibrium
  • If the allele frequencies in a gene pool with two alleles are given by p and q, the genotype frequencies will be given by p2, 2pq, and q2.
working with the h w equation
Working with the H-W equation
  • You need to be able to work with the Hardy-Weinberg equation.
  • For example, if 9 of 100 individuals in a population suffer from a homozygous recessive disorder can you calculate the frequency of the disease-causing allele? Can you calculate how many heterozygotes are in the population?
working with the h w equation1
Working with the H-W equation
  • p2 + 2pq + q2 = 1. The terms in the equation represent the frequencies of individual genotypes. [A genotype is possessed by an individual organism so there are two alleles present in each case.]
  • P and q are allele frequencies. Allelefrequencies are estimates of how common alleles are in the whole population.
  • It is vital that you understand the difference between allele and genotye frequencies.
working with the h w equation2
Working with the H-W equation
  • 9 of 100 (frequency = 0.09) of individuals are homozygous for the recessive allele. What term in the H-W equation is that equal to?
working with the h w equation3
Working with the H-W equation
  • It’s q2.
  • If q2 = 0.09, what’s q? Get square root of q2, which is 0.3, which is the frequency of the allele a.
  • If q=0.3 then p=0.7. Now plug p and q into equation to calculate frequencies of other genotypes.
working with the h w equation4
Working with the H-W equation
  • p2 = (0.7)(0.7) = 0.49 -- frequency of AA
  • 2pq = 2 (0.3)(0.7) = 0.42 – frequency of Aa.
  • To calculate the actual number of heterozygotes simply multiply 0.42 by the population size = (0.42)(100) = 42.
working with the h w equation 3 alleles
Working with the H-W equation: 3 alleles
  • There are three alleles in a population A1, A2 and A3 whose frequencies respectively are 0.2, 0.2 and 0.6 and there are 100 individuals in the population.
  • How many A1A2 heterozygotes will there be in the population?
working with the h w equation 3 alleles1
Working with the H-W equation: 3 alleles
  • Just use the formulae P1 + P2 + P3 = 1 and P12 + P22 + P32 + 2P1P2 + 2P1 P3 +

2P2P3 = 1

Then substitute in the appropriate values for the appropriate term

2P1P2 = 2(0.2)(0.2) = 0.08 or 8 people out of 100.

other examples of working with hw equilibrium is a population in hw equilibrium
Other examples of working with HW equilibrium: is a population in HW equilibrium?
  • In a population there are 100 birds with the following genotypes:
  • 44 AA
  • 32 Aa
  • 24 aa
  • How would you demonstrate that this population is not in Hardy Weinberg equilibrium
three steps
Three steps
  • Step 1: calculate the allele frequencies.
  • Step 2: Calculate expected numbers of each geneotype (i.e. figure out how many homozygotes and heterozygotes you would expect.)
  • Step 3: compare your expected and observed data.
step 1 allele frequencies
Step 1 allele frequencies
  • Step 1. How many “A” alleles are there in total?
  • 44 AA individuals = 88 “A” alleles (because each individual has two copies of the “A” allele)
  • 32 Aa alleles = 32 “A” alleles
  • Total “A” alleles is 88+32 =120.
step 1 allele frequencies1
Step 1 allele frequencies
  • Total number of “a” alleles is similarly calculated as 2*24 + 32 = 80
  • What are allele frequencies?
  • Total number of alleles in population is 120 + 80 = 200 (or you could calculate it by multiplying the number of individuals in the population by two 100*2 =200)
step 1 allele frequencies2
Step 1 allele frequencies
  • Allele frequencies are:
  • A = 120/200= 0.6. Let p = 0.6
  • a = 80/200 = 0.4. Let q = 0.4
step 2 calculate expected number of each genotype
Step 2 Calculate expected number of each genotype
  • Use the Hardy_Weinberg equation

p2 + 2pq + q2 = 1 to calculate what expected genotypes we should have given these observed frequencies of “A” and “a”

  • Expected frequency of AA = p2 = 0.6 * 0.6 = 0.36
  • Expected frequency of aa = q2 = 0.4*0 .4 =0.16
  • Expected frequency of Aa = 2pq = 2*.6*.4 = 0.48
step 2 calculate expected number of each genotype1
Step 2 Calculate expected number of each genotype
  • Convert genotype frequencies to actual numbers by multiplying by population size of 100
  • AA = 0.36*100 = 36
  • aa = 0.16*100 = 16
  • Aa = 0.48*100 = 48
step 3 compare observed and expected values
Step 3 Compare Observed and Expected values

Observed population is:

44 AA 32 Aa 24 aa

Expected population is:

36AA 48Aa 16aa

These numbers are not the same so the population is not in Hardy-Weinberg equilibrium. An assumption of the Hardy Weinberg equilibrium is being violated. What are those assumptions?

assumptions of hardy weinberg
Assumptions of Hardy-Weinberg
  • 1. No selection.
    • When individuals with certain genotypes survive better than others, allele frequencies may change from one generation to the next.
assumptions of hardy weinberg1
Assumptions of Hardy-Weinberg
  • 2. No mutation
    • If new alleles are produced by mutation or alleles mutate at different rates, allele frequencies may change from one generation to the next.
assumptions of hardy weinberg2
Assumptions of Hardy-Weinberg
  • 3. No migration
    • Movement of individuals in or out of a population will alter allele and genotype frequencies.
assumptions of hardy weinberg3
Assumptions of Hardy-Weinberg
  • 4. No chance events.
    • Luck plays no role. Eggs and sperm collide at same frequencies as the actual frequencies of p and q.
    • When assumption is violated, and by chance some individuals contribute more alleles than others to next generation, allele frequencies may change. This mechanism of allele frequency change is called Genetic Drift.
assumptions of hardy weinberg4
Assumptions of Hardy-Weinberg
  • 5. Individuals select mates at random.
    • If this assumption is violated allele frequencies will not change, but genotype frequencies may.
hardy weinberg equilibrium11
Hardy-Weinberg Equilibrium
  • Hardy Weinberg equilibrium principle identifies the forces that can cause evolution.
  • If a population is not in H-W equilibrium then one or more of the five assumptions is being violated.
can selection change allele frequencies
Can selection change allele frequencies?
  • Two alleles B1 and B2
  • Frequency of B1= 0.6 and frequency of B2 = 0.4.
  • Random mating gives genotype frequencies 0.36 B1B1 0.48B1B2 0.16B2B2
can selection change allele frequencies1
Can selection change allele frequencies?
  • Assume 100 individuals
  • 36 B1B1 48 B1B2 16 B2B2
  • Incorporate selection. Assume all B1B1 survive, 75% of B1B2 survive and 50% of B2B2 survive.
can selection change allele frequencies2
Can selection change allele frequencies?
  • Population now 80 individuals: 36 B1B1 36 B1B2 8 B2B2
  • Allele frequencies now:
  • B1 = 72 + 36/160 = 0.675
  • B2 = 36+16/160 = 0.325
  • Selection resulted in allele frequency change.
can selection change allele frequencies3
Can selection change allele frequencies?
  • Selection in previous example very strong.
  • What patterns expected with weaker selection.
  • Initial frequencies B1 = 0.01, B2 = 0.99.
slide43

Fig 5.12

Note line colors yellow and red have been flipped in the table.

can selection change allele frequencies4
Can selection change allele frequencies?
  • Rate of change of B1is rapid when selection pressure is strong, but much slower, although still steady, under weak selection.
empirical examples of allele frequency change under selection
Empirical examples of allele frequency change under selection
  • Clavener and Clegg’s work on Drosophila.
  • Two alleles for ADH (alcohol dehydrogenase breaks down ethanol) ADHF and ADHS
empirical examples of allele frequency change under selection1
Empirical examples of allele frequency change under selection
  • Two Drosophila populations maintained: one fed food spiked with ethanol, control fed unspiked food.
  • Populations maintained for multiple generations.
empirical examples of allele frequency change under selection2
Empirical examples of allele frequency change under selection
  • Experimental population showed consistent long-term increase in frequency of ADHF
  • Flies with ADHF allele have higher fitness when ethanol is present.
  • ADHF enzyme breaks down ethanol twice as fast as ADHS enzyme.
empirical examples of allele frequency change under selection jaeken syndrome
Empirical examples of allele frequency change under selection: Jaeken syndrome
  • Jaeken syndrome: patients severely disabled with skeletal deformities and inadequate liver function.
jaeken syndrome
Jaeken syndrome
  • Autosomal recessive condition caused by loss-of-function mutation of gene PMM2 codes for enzyme phosphomannomutase.
  • Patients unable to join carbohydrates and proteins to make glycoproteins at a high enough rate.
  • Glycoproteins involved in movement of substances across cell membranes.
jaeken syndrome1
Jaeken syndrome
  • Many different loss-of-function mutations can cause Jaeken Syndrome.
  • Team of researchers led by Jaak Jaeken investigated whether different mutations differed in their severity. Used Hardy-Weinberg equilibrium to do so.
jaeken syndrome2
Jaeken syndrome
  • People with Jaeken syndrome are homozygous for the disease, but may be either homozygous or heterozygous for a given disease allele.
  • Different disease alleles should be in Hardy-Weinberg equilibrium.
jaeken syndrome3
Jaeken syndrome
  • Researchers studied 54 patients and identified most common mutation as R141H.
  • Dividing population into R141H and other alleles [Other]. Allele frequencies are:

Other: 0.6 and R141H: 0.4.

jaeken syndrome4
Jaeken syndrome
  • If disease alleles are in H-W equilibrium then we predict genotype frequencies of
  • Other/other: 0.36
  • Other/R141H: 0.48
  • R141H/R141H: 0.16
jaeken syndrome5
Jaeken syndrome
  • Observed frequencies are:

Other/Other: 0.2

Other/R141H: 0.8

R141H/R141H : 0

Clearly population not in H-W equilibrium.

jaeken syndrome6
Jaeken syndrome
  • Researchers concluded that R141H is an especially severe mutation and homozygotes die before or just after birth.
  • Thus, there is selection so H-W assumption is violated.
using h w to predict potential spread of ccr5 32 allele
Using H-W to predict potential spread of CCR5-32 allele
  • Will AIDS epidemic cause CCR5-32 (delta32) allele to spread? Offers protection against HIV infection.
  • In principle it could, but models suggest it probably will not in any real population.
spread of ccr5 32 allele
Spread of CCR5-32 allele
  • Scenario 1. Initial allele frequency 20%. 25% of heterozygotes and those homozygous for normal allele die of AIDS. Homozygous 32 individuals do not die of AIDS.
  • Over 40 generations allele increases to almost 100%.
spread of ccr5 32 allele1
Spread of CCR5-32 allele
  • In human population with high HIV infection rate and high frequencies of 32 allele, 32 could spread rapidly.
spread of ccr5 32 allele2
Spread of CCR5-32 allele
  • Scenario 2. In areas with low HIV infection rates (under 1%), but high levels of 32 (as found in Europe), selection too weak to raise delta 32 frequency much.
spread of ccr5 32 allele3
Spread of CCR5-32 allele
  • Scenario 3. In sub-Saharan Africa HIV infection rate about 25%. However, 32 allele almost absent
  • Under these conditions 32 frequency will hardly change because most copies of allele are in heterozygotes, which are not protected from HIV.
testing predictions of population genetics theory
Testing predictions of population genetics theory
  • Theory predicts that if an individual carrying an allele has higher than average fitness then the frequency of that allele will increase from one generation to the next.
  • Obviously, the converse should be true and a deleterious allele should decrease in frequency if its bearers have lower fitness.
testing predictions of population genetics theory1
Testing predictions of population genetics theory
  • Mathematical treatment of effect of selection on gene frequencies is given in Box 6.3 (page 186) of your text.
  • Main point is that if the average fitness of an allele A when paired at random with other alleles in the population is higher than the average fitness of the population, then it will increase in frequency.
tests of theory
Tests of theory
  • Dawson (1970). Flour beetles. Two alleles at locus: + and l.
  • +/+ and +/l phenotypically normal.
  • l/l lethal.
dawson s flour beetles
Dawson’s flour beetles
  • Dawson founded two populations with heterozygotes (frequency of + and l alleles thus 0.5).
  • Expected + allele to increase in frequency and l allele to decline over time.
dawson s flour beetles1
Dawson’s flour beetles
  • Predicted and observed allele frequencies matched very closely.
  • l allele declined rapidly at first, but rate of decline slowed.
dawson s flour beetles2
Dawson’s flour beetles
  • Dawson’s results show that when a recessive allele is common, evolution by natural selection is rapid, but slows as recessive allele becomes rarer.
  • Hardy-Weinberg explains why.
dawson s flour beetles3
Dawson’s flour beetles
  • When recessive allele (a) common e.g. freq a=0.95 genotype frequencies are:
  • AA (0.05)2 Aa (2 (0.05)(0.95) aa (0.95)2
  • 0.0025AA 0.095Aa 0.9025aa
  • With more than 90% of phenotypes being recessive, if aa is selected against we expect rapid population change.
dawson s flour beetles4
Dawson’s flour beetles
  • When recessive allele (a) rare [e.g. freq a=0.05] genotype frequencies are:
  • AA (0.95)2 Aa 2(0.95)(0.05) aa (0.05)2
  • 0.9025AA 0.095Aa 0.0025aa
  • Fewer than 0.25% of phenotypes are aa recessive. Most “a” alleles (>97%) are hiddenfromselection as heterozygotes.
  • Expect only slow change in frequency of a.
maintaining multiple alleles in gene pool
Maintaining multiple alleles in gene pool
  • Dawson’s beetle work shows that deleterious rare alleles may be very hard to eliminate from a gene pool because they remain hidden from selection as heterozygotes.
  • (this only applies if the allele is not dominant.)
maintaining multiple alleles in gene pool1
Maintaining multiple alleles in gene pool
  • There are several different ways in which multiple alleles may be maintained in populations even, as we saw, if one allele is deleterious.
    • 1. Deleterious recessive allele can hide in heterozygote
    • 2. There may be heterozygote advantage
    • 3. Frequency-dependent selection
maintaining multiple alleles in gene pool 2 heterozygote advantage
Maintaining multiple alleles in gene pool-2. Heterozygote advantage
  • Another way in which multiple alleles may be maintained in a population is through heterozygote advantage.
  • Classic example is sickle cell allele.
sickle cell anemia
Sickle Cell Anemia

Sickle cell anemia is a condition common among West Africans (and African Americans of West African ancestry).

In sickle cell anemia red blood cells are

sickle shaped.

Usually fatal by about age 10.

slide79

About 1% of West Africans have sickle

cell anemia.

A single mutation that causes a valine

amino acid to replace a glutamine

in an alpha chain of the hemoglobin

molecule.

Mutation causes molecules to stick

together.

slide81

Why isn’t mutant sickle cell gene

eliminated by natural selection?

slide82

Only individuals homozygous for

sickle cell gene get sickle cell anemia.

Individuals with one copy of sickle cell gene

(heterozygotes) get sickle cell trait

(mild form of disease).

Individuals with sickle cell allele (one or two

copies) don’t get malaria.

slide85

Heterozygotes have higher survival than

either homozygote. Heterozygote advantage.

Sickle cell homozygotes die of sickle

cell anemia.

“Normal” homozygotes more likely

to die of malaria.

Stabilizing selection for sickle cell allele.

maintaining multiple alleles in gene pool 3 frequency dependent selection
Maintaining multiple alleles in gene pool- 3. Frequency-dependent selection
  • Another way in which multiple alleles are maintained is frequency-dependent selection.
  • Frequency-dependent selection occurs when rare alleles have a selective advantage because they are rare.
frequency dependent selection
Frequency-dependent selection
  • Color polymorphism in Elderflower Orchid
  • Two flower colors: yellow and purple. Offer no food reward to bees. Bees alternate visits to colors.
  • How are two colors maintained in the population?
frequency dependent selection1
Frequency-dependent selection
  • Gigord et al. hypothesis: Bees tend to visit equal numbers of each flower color. As a result the rarer color will have an advantage (because each individual rarer color flower will get more visits from pollinators).
frequency dependent selection2
Frequency-dependent selection
  • Experiment: provided five arrays of potted orchids with different frequencies of yellow orchids in each.
  • Monitored orchids for fruit set and removal of pollinaria (pollen bearing structures)
frequency dependent selection3
Frequency-dependent selection
  • As predicted, reproductive success of yellow varied with frequency.
mutation as an evolutionary force
Mutation as an evolutionary force
  • It is obvious that selection is a very powerful evolutionary force but how strong is mutation alone as an evolutionary force?
  • To check: Two alleles A and a.
  • Frequency of A = 0.9, a = 0.1.
mutation as an evolutionary force1
Mutation as an evolutionary force
  • Assume A mutates to a at rate of 1 copy per 10,000 per generation (high rate, but within observed range) and all mutations occur in gametes.
  • How much does this change gene pool in next generation?
mutation as an evolutionary force2
Mutation as an evolutionary force
  • Hardy Weinberg genotypes in current generation:
  • 0.81 AA, 0.18 Aa, 0.01 aa
  • With no mutation allele frequency in gene pool 0.9 A, 0.1 a
mutation as an evolutionary force3
Mutation as an evolutionary force
  • But mutation reduces frequency of A and increases frequency of a
  • Aa
  • 0.9 - (0.0001)(0.9) 0.1 + (0.0001)(0.9)
  • 0.89991A 0.10009a
mutation as an evolutionary force4
Mutation as an evolutionary force
  • Not a big change.
  • After 1000 generations frequency of A = 0.81.
mutation as an evolutionary force5
Mutation as an evolutionary force
  • Mutation alone clearly not a powerful evolutionary force.
  • But mutation AND selection together make a very powerful evolutionary force.
  • Remember mutation provides the raw material for selection to work with.
lenski s e coli work
Lenski’s E. coli work
  • Lenski et al. studied mutation and selection together in an E. coli strain that did not exchange DNA (hence mutation only source of new variation).
  • Bacteria grown in challenging environment (low salts and low glucose medium) so selection would be strong.
lenski s e coli work1
Lenski’s E. coli work
  • 12 replicate populations tracked over about 10,000 generations.
  • Fitness and cell size of populations increased over time.
  • Pattern of change interesting: steplike.
  • Why is it steplike?
lenski s e coli work2
Lenski’s E. coli work
  • Step-like pattern results when a new mutation occurs and sweeps through the population as mutant bacteria out-reproduce competitors.
  • Remember, without mutation evolution would eventually cease. Mutation is the ultimate source of genetic variation.
mutation selection balance
Mutation-selection balance
  • Most mutations are deleterious and natural selection acts to remove them from population.
  • Deleterious alleles persist, however, because mutation continually produces them.
mutation selection balance1
Mutation-selection balance
  • When rate at which deleterious alleles are being eliminated is equal to their rate of production by mutation we have mutation-selection balance.
mutation selection balance2
Mutation-selection balance
  • Equilibrium frequency of deleterious allele q = square root of µ/s where µ is mutation rate and s is the selection coefficient (measure of strength of selection against allele; ranges from 0 to 1). See Box 6.10 page 215 for derivation of equation.
mutation selection balance3
Mutation-selection balance
  • Equation makes intuitive sense.
  • If s is small (mutation only mildly deleterious) and µ (mutation rate) is high than q (allele frequency) will also be relatively high.
  • If s is large and µ is low, than q will be low too.
mutation selection balance4
Mutation-selection balance
  • Spinal muscular atrophy is a generally lethal condition caused by a mutation on chromosome 5.
  • Selection coefficient estimated at 0.9. Deleterious allele frequency about 0.01 in Caucasians.
  • Inserting above numbers into equation and solving for µ get estimated mutation rate of 0.9 X 10-4
mutation selection balance5
Mutation-selection balance
  • Observed mutation rate is about 1.1 X10-4, very close agreement in estimates.
  • High frequency of allele is accounted for by observed mutation rate.
is frequency of cystic fibrosis maintained by mutation selection balance
Is frequency of Cystic fibrosis maintained by mutation selection balance?
  • Cystic fibrosis is caused by a loss of function mutation at locus on chromosome 7 that codes for CFTR protein (cell surface protein in lungs and intestines).
  • Major function of protein is to destroy Pseudomonas aeruginosa bacteria. Bacterium causes severe lung infections in CF patients.
cystic fibrosis
Cystic fibrosis
  • Very strong selection against CF alleles, but CF frequency about 0.02 in Europeans.
  • Can mutation rate account for high frequency?
cystic fibrosis1
Cystic fibrosis
  • Assume selection coefficient (s) of 1 and q = 0.02.
  • Estimate mutation rate µ is 4.0 X 10-4
  • But actual mutation rate is only 6.7 X 10-7
  • Is there an alternative explanation?
cystic fibrosis2
Cystic fibrosis
  • May be heterozygote advantage.
  • Pier et al. (1998) hypothesized CF heterozygotes may be resistant to typhoid fever.
  • Typhoid fever caused by Salmonella typhi bacteria. Bacteria infiltrate gut by crossing epithelial cells.
cystic fibrosis3
Cystic fibrosis
  • Hypothesized that S. typhi bacteria may use CFTR protein to enter cells.
  • If so, CF-heterozygotes should be less vulnerable to S. typhi because their gut epithilial cells have fewer CFTR proteins on cell surface.
cystic fibrosis4
Cystic fibrosis
  • Experimental test.
  • Produced mouse cells with three different CFTR genotypes
  • CFTR homozygote (wild type)
  • CFTR/F508 heterozygote (F508 most common CF mutant allele)
  • F508/F508 homozygote
cystic fibrosis5
Cystic fibrosis
  • Exposed cells to S. typhi bacteria.
  • Measured number of bacteria that entered cells.
  • Clear results
cystic fibrosis6
Cystic fibrosis
  • F508/F508 homozygote almost totally resistant to S. typhi.
  • Wild type homozygote highly vulnerable
  • Heterozygote contained 86% fewer bacteria than wild type.
cystic fibrosis7
Cystic fibrosis
  • Further support for idea F508 provides resistance to typhoid provided by positive relationship between F508 allele frequency in generation after typhoid outbreak and severity of the outbreak.
slide120

Fig 5.27b

Data from 11 European countries