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Population Genetics: Selection and mutation as mechanisms of evolution

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Title: Population Genetics: Selection and mutation as mechanisms of evolution


1
Population Genetics Selection and mutation as
mechanisms of evolution
  • Population genetics study of Mendelian genetics
    at the level of the whole population.

2
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.

3
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.

4
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.

5
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

6
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).

7
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).

8
Hardy-Weinberg Equilibrium
  • Similarly, we can calculate frequency of aa.
  • 0.4 x 04 0.16.

9
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.

10
Hardy-Weinberg Equilibrium
  • But, theres 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.

11
Hardy-Weinberg Equilibrium
  • Genotypes in next generation
  • AA 0.36
  • Aa 0.48
  • Aa 0.16
  • These frequencies add up to one.

12
Hardy-Weinberg Equilibrium
  • General formula for Hardy-Weinberg.
  • Let p frequency of allele A and q frequency of
    allele a.
  • p2 2pq q2 1.

13
Hardy Weinberg Equilibrium with more than 2
alleles
  • If three alleles with frequencies P1, P2 and P3
    such that P1 P2 P3 1
  • Then genotype frequencies given by
  • P12 P22 P32 2P1P2 2P1 P3
  • 2P2P3

14
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).

15
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.

16
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?

17
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. Allele
    frequencies are estimates of how common alleles
    are in the whole population.
  • It is vital that you understand the difference
    between allele and genotye frequencies.

18
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?

19
Working with the H-W equation
  • Its q2.
  • If q2 0.09, whats q? Get square root of q2,
    which is 0.3, which is the frequency of the
    allele a.
  • If q0.3 then p0.7. Now plug p and q into
    equation to calculate frequencies of other
    genotypes.

20
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.

21
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?

22
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.

23
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

24
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.

25
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 8832 120.

26
Step 1 allele frequencies
  • Total number of a alleles is similarly
    calculated as 224 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 1002 200)

27
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

28
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 0.40 .4 0.16
  • Expected frequency of Aa 2pq 2.6.4 0.48

29
Step 2 Calculate expected number of each genotype
  • Convert genotype frequencies to actual numbers by
    multiplying by population size of 100
  • AA 0.36100 36
  • aa 0.16100 16
  • Aa 0.48100 48

30
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?

31
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.

32
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.

33
Assumptions of Hardy-Weinberg
  • 3. No migration
  • Movement of individuals in or out of a population
    will alter allele and genotype frequencies.

34
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.

35
Assumptions of Hardy-Weinberg
  • 5. Individuals select mates at random.
  • If this assumption is violated allele frequencies
    will not change, but genotype frequencies may.

36
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.

37
5.10
38
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

39
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.

40
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 3616/160 0.325
  • Selection resulted in allele frequency change.

41
FIG 5.11
42
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.

43
Fig 5.12
Note line colors yellow and red have been flipped
in the table.
44
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.

45
Empirical examples of allele frequency change
under selection
  • Clavener and Cleggs work on Drosophila.
  • Two alleles for ADH (alcohol dehydrogenase breaks
    down ethanol) ADHF and ADHS

46
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.

47
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.

48
Fig 5.13
49
Empirical examples of allele frequency change
under selection Jaeken syndrome
  • Jaeken syndrome patients severely disabled with
    skeletal deformities and inadequate liver
    function.

50
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.

51
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.

52
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.

53
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.

54
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

55
Jaeken syndrome
  • Observed frequencies are
  • Other/Other 0.2
  • Other/R141H 0.8
  • R141H/R141H 0
  • Clearly population not in H-W equilibrium.

56
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.

57
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.

58
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.

59
FIG 5.15a
60
Spread of CCR5-?32 allele
  • In human population with high HIV infection rate
    and high frequencies of ?32 allele, ?32 could
    spread rapidly.

61
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.

62
FIG 5.15b
63
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.

64
FIG 5.15c
65
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.

66
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.

67
Tests of theory
  • Dawson (1970). Flour beetles. Two alleles at
    locus and l.
  • / and /l phenotypically normal.
  • l/l lethal.

68
Dawsons 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.

69
Fig 5.16a
70
Dawsons flour beetles
  • Predicted and observed allele frequencies matched
    very closely.
  • l allele declined rapidly at first, but rate of
    decline slowed.

71
Dawsons flour beetles
  • Dawsons 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.

72
Dawsons flour beetles
  • When recessive allele (a) common e.g. freq a0.95
    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.

73
Dawsons flour beetles
  • When recessive allele (a) rare e.g. freq a0.05
    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 (gt97) are hidden from selection
    as heterozygotes.
  • Expect only slow change in frequency of a.

74
Maintaining multiple alleles in gene pool
  • Dawsons 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.)

75
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

76
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.

77
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.

78
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79
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.
80
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81
Why isnt mutant sickle cell gene eliminated by
natural selection?
82
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) dont get malaria.
83
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84
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85
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.
86
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.

87
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?

88
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).

89
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)

90
Frequency-dependent selection
  • As predicted, reproductive success of yellow
    varied with frequency.

91
5.21 a
92
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.

93
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?

94
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

95
Mutation as an evolutionary force
  • But mutation reduces frequency of A and increases
    frequency of a
  • A a
  • 0.9 - (0.0001)(0.9) 0.1 (0.0001)(0.9)
  • 0.89991A 0.10009a

96
5.23
97
Mutation as an evolutionary force
  • Not a big change.
  • After 1000 generations frequency of A 0.81.

98
5.24
99
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.

100
Lenskis 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.

101
Lenskis 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?

102
5.25
103
Lenskis 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.

104
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.

105
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.

106
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.

107
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.

108
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

109
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.

110
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.

111
Cystic fibrosis
  • Very strong selection against CF alleles, but CF
    frequency about 0.02 in Europeans.
  • Can mutation rate account for high frequency?

112
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?

113
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.

114
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.

115
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

116
Cystic fibrosis
  • Exposed cells to S. typhi bacteria.
  • Measured number of bacteria that entered cells.
  • Clear results

117
Fig 5.27a
118
Cystic fibrosis
  • ?F508/?F508 homozygote almost totally resistant
    to S. typhi.
  • Wild type homozygote highly vulnerable
  • Heterozygote contained 86 fewer bacteria than
    wild type.

119
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.

120
Fig 5.27b
Data from 11 European countries
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