Hardy Weinberg Equilibrium - University of Wisconsin–Madison · 2020. 9. 29. · Hardy-Weinberg...

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Hardy Weinberg Equilibrium Wilhem Weinberg (1862 – 1937) Gregor Mendel G. H. Hardy (1877 - 1947) (1822-1884) Carol E. Lee, University of Wisconsin-Madison Copyright ©2020; do not upload without permission

Transcript of Hardy Weinberg Equilibrium - University of Wisconsin–Madison · 2020. 9. 29. · Hardy-Weinberg...

  • Hardy Weinberg Equilibrium

    Wilhem Weinberg(1862 – 1937)

    Gregor Mendel

    G. H. Hardy(1877 - 1947)

    (1822-1884)

    Carol E. Lee, University of Wisconsin-MadisonCopyright ©2020; do not upload without permission

  • Lectures 4-12: Mechanisms of Evolution (Microevolution)

    • Hardy Weinberg Principle (Mendelian Inheritance)• Genetic Drift• Mutation• Sex: Recombination and Random Mating• Epigenetic Inheritance• Natural Selection

    These are mechanisms acting WITHIN populations, hence called “population genetics”—EXCEPT for epigenetic modifications, which act on individuals in a Lamarckian manner

  • Evolution acts through changes in allele frequency at each generation

    Leads to average change in characteristic of the population

    Recall from Previous Lectures

    Darwin’s Observation

  • HOWEVER, Darwin did not understand how genetic variation was passed on from generation to generation

    Recall from Lecture on History of Evolutionary Thought

    Darwin’s Observation

  • Gregor Mendel, “Father of Modern Genetics”

    • Mendel presented a mechanism for how traits got passed on

    “Individuals pass alleles on to their offspring intact”

    (the idea of particulate (genes) inheritance)

    Gregor Mendel

    (1822-1884)

    http://www.biography.com/people/gregor-mendel-39282#synopsis

  • Gregor Mendel, “Father of Modern Genetics”http://www.biography.com/people/gregor-mendel-39282#synopsis

    • Law of Independent Assortment– different pairs of alleles are

    passed to offspring independently of each other

    Mendel’s Laws of Inheritance• Law of Segregation

    only one allele passes from each parent on to an offspring

  • • In cross-pollinating plants with either yellow or green peas, Mendel found that the first generation (f1) always had yellow seeds (dominance). However, the following generation (f2) consistently had a 3:1 ratio of yellow to green.

    Using 29,000 pea plants, Mendel discovered the 1:3 ratio of phenotypes, due to dominant vs. recessive alleles

  • • Mendel uncovered the underlying mechanism, that there are dominant and recessive alleles

  • Mathematical description of Mendelian inheritance

    Hardy-Weinberg Principle

    Godfrey H. Hardy(1877-1947)English Mathematician

    Wilhem Weinberg(1862 – 1937)German obstetrician-gynecologist

    Jeremy Irons playing GH Hardy in the film “The Man Who Knew Infinity” ↓

  • Testing for Hardy-Weinberg equilibrium can be used to assess whether a population is

    evolving

  • The Hardy-Weinberg Principle

    • A population that is not evolving shows allele and genotypic frequencies that are in Hardy Weinberg equilibrium

    • If a population is not in Hardy-Weinberg equilibrium, it can be concluded that the population is evolving

  • Evolutionary Mechanisms (will put population out of HW Equilibrium):

    • Genetic Drift• Natural Selection• Mutation• Migration

    *Epigenetic modifications change expression of alleles but not the frequency of alleles themselves, so they won’t affect the actual inheritance of alleles

    However, if you count the phenotype frequencies, and not the genotype frequencies , you might see phenotypic frequencies out of HW Equilibrium due to epigenetic silencing of alleles. (epigenetic modifications can change phenotype, not genotype)

  • Requirements of HW Evolution

    Large population size Genetic drift

    Random Mating Inbreeding & other

    No Mutations Mutations

    No Natural Selection Natural Selection

    No Migration Migration

    An evolving population is one that violates Hardy-Weinberg Assumptions

    Violation

  • Fig. 23-5a

    Porcupineherd range

    Beaufort Sea NORTHWEST

    TERRITORIESMAPAREA

    ALAS

    KA

    CAN

    ADA

    Fortymileherd range

    ALAS

    KA

    YUKO

    N

    •What is a “population?”A group of individuals within a species that is capable of interbreeding and producing fertile offspring

    (definition for sexual species)

  • Patterns of inheritance should always be in “Hardy Weinberg Equilibrium”

    Following the transmission rules of Mendel

    In the absence of Evolution…

  • Hardy-Weinberg Equilibrium

    • According to the Hardy-Weinberg principle, frequencies of alleles and genotypes in a population remain constant from generation to generation

    • Also, the genotype frequencies you see in a population should be the Hardy-Weinberg expectations, given the allele frequencies

  • “Null Model for No Evolution”

    • A population in Hardy-Weinberg Equilibrium serves as the Null Model (for no evolution) to test if evolution is happening

  • Example: Is this population in Hardy Weinberg Equilibrium?

    AA Aa aaGeneration 1 0.25 0.50 0.25Generation 2 0.20 0.60 0.20Generation 3 0.10 0.80 0.10

  • Hardy-Weinberg Theorem

    In a non-evolving population, frequency of alleles and genotypes remain constant over generations

    You should be able to predict the genotype frequencies, given the allele frequencies

  • important concepts• gene: A region of genome sequence (DNA or RNA), that is

    the unit of inheritance , the product of which contributes to phenotype

    • locus: Location in a genome (used interchangeably with “gene,” if the location is at a gene… but, locus can be anywhere, so meaning is broader than gene)

    • loci: Plural of locus• allele: Variant forms of a gene (e.g. alleles for different eye

    colors, BRCA1 breast cancer allele, etc.)

    • genotype: The combination of alleles at a locus (gene)• phenotype: The expression of a trait, as a result of the

    genotype and regulation of genes (green eyes, brown hair, body size, finger length, cystic fibrosis, etc.)

  • important concepts• allele: Variant forms of a gene (e.g. alleles for different eye

    colors, BRCA1 breast cancer allele, etc.)

    • We are diploid (2 chromosomes), so we have 2 alleles at a locus (any location in the genome)

    • However, there can be many alleles at a locus in a population.– For example, you might have inherited a blue eye allele from

    your mom and a brown eye allele from your dad… you can’t have more alleles than that (only 2 chromosomes, one from each parent)

    – BUT, there could be many alleles at this locus in the population, blue, green, grey, brown, etc.

  • • Alleles in a population of diploid organisms

    A1

    A2

    A3

    A4A1

    A1

    A2

    Sperm

    Eggs

    • Genotypes

    Random Mating (Sex)

    Zygotes

    A1A3

    A1A1 A1A1

    A2A4

    A3A1

    A1A1

    A1

    A2A1

    A1

    A3A4

  • So then can we predict the expected % of alleles and genotypes in the population at each generation?

    A1

    A2

    A3

    A4A1

    A1

    A2

    Sperm

    Eggs

    Zygotes

    A1A3

    A1A1 A1A1

    A2A4

    A3A1

    A1A1

    A1

    A2A1

    A1

    A3

    A4

  • Hardy-Weinberg Theorem

    In a non-evolving population, frequency of alleles and genotypes remain constant over generations

  • Fig. 23-6

    Frequencies of allelesAlleles in the population

    Gametes produced

    Each egg: Each sperm:

    80%chance

    80%chance

    20%chance

    20%chance

    q = frequency of

    p = frequency ofCR allele = 0.8

    CW allele = 0.2

    Hardy-Weinberg proportions indicate the expected allele and genotype frequencies, given the starting frequencies

  • • By convention, if there are 2 alleles at a locus, p and q are used to represent their frequencies

    • The frequency of all alleles in a population will add up to 1

    – For example, p + q = 1

  • If p and q represent the relative frequencies of the only two possible alleles in a population at a particular locus, then for a diploid organism (2 chromosomes),

    (p + q) 2 = 1

    = p2 + 2pq + q2 = 1

    – where p2 and q2 represent the frequencies of the homozygous genotypes and 2pq represents the frequency of the heterozygous genotype

  • What about for a triploid organism?

  • What about for a triploid organism?

    • (p + q)3 = 1

    = p3 + 3p2q + 3pq2 + q3 = 1

    Potential offspring: ppp, ppq, pqp, qpp, qqp, pqq, qpq, qqq

    How about tetraploid? You work it out.

  • Hardy Weinberg TheoremALLELESProbability of A = p p + q = 1Probability of a = q

    GENOTYPESAA: p x p = p2

    Aa: p x q + q x p = 2pqaa: q x q = q2

    p2 + 2pq + q2 = 1

  • More General HW Equations

    • One locus three alleles: (p + q + r)2 = p2 + q2 + r2 + 2pq +2pr + 2qr

    • One locus n # alleles: (p1 + p2 + p3 + p4 … …+ pn)2 = p12 + p22 + p32 + p42… …+ pn2 + 2p1p2 + 2p1p3 + 2p2p3 + 2p1p4 + 2p1p5 + … … + 2pn-1pn

    • For a polyploid (more than two chromosomes): (p + q)c, where c = number of chromosomes

    • If multiple loci (genes) code for a trait, each locus follows the HW principle independently, and then the alleles at each loci contribute to and/or interact to influence the trait

  • Calculating allele frequenciesWe can then define the relative frequencies of A1A1 and A1A2 genotypes as:

    Frequency of A1A1 = Number of A1A1 (N11)/Total Number N Frequency of A1A2 = Number of A1A2 (N12)/Total Number NFrequency of A2A2 = Number of A2A2 (N22)/Total Number N

    Then, the proportion of Allele A1:

    If there are two alleles, then the frequency of A2: 1 - p

  • ALLELE FrequenciesFrequency of A = p = 0.8Frequency of a = q = 0.2

    p + q = 1

    Expected GENOTYPE FrequenciesAA: p x p = p2 = 0.8 x 0.8 = 0.64Aa: p x q + q x p = 2pq

    = 2 x (0.8 x 0.2) = 0.32aa: q x q = q2 = 0.2 x 0.2 = 0.04

    p2 + 2pq + q2

    = 0.64 + 0.32 + 0.04 = 1

    Expected Allele Frequencies at 2nd Generationp = AA + Aa/2 = 0.64 + (0.32/2) = 0.8q = aa + Aa/2 = 0.04 + (0.32/2) = 0.2

    Allele frequencies remain the same at next generation

  • Hardy Weinberg TheoremALLELE FrequencyFrequency of A = p = 0.8 p + q = 1Frequency of a = q = 0.2

    Expected GENOTYPE FrequencyAA: p x p = p2 = 0.8 x 0.8 = 0.64Aa: p x q + q x p = 2pq = 2 x (0.8 x 0.2) = 0.32aa : q x q = q2 = 0.2 x 0.2 = 0.04

    p2 + 2pq + q2 = 0.64 + 0.32 + 0.04 = 1

    Expected Allele Frequency at 2nd Generationp = AA + Aa/2 = 0.64 + (0.32/2) = 0.8q = aa + Aa/2 = 0.04 + (0.32/2) = 0.2

  • Similar example,But with different starting allele frequencies

    p q

  • p22pqq2

  • • The frequency of an allele in a population can be calculated from # of individuals:

    – For diploid organisms, the total number of alleles at a locus is the total number of individuals x 2

    – The total number of dominant alleles at a locus is 2 alleles for each homozygous dominant individual

    – plus 1 allele for each heterozygous individual; the same logic applies for recessive alleles

    Calculating Allele Frequencies from # of Individuals

  • AA Aa aa120 60 35 (# of individuals)

    #A = (2 x AA) + Aa = 240 + 60 = 300#a = (2 x aa) + Aa = 70 + 60 = 130Proportion A = 300/total = 300/430 = 0.70Proportion a = 130/total = 130/430 = 0.30

    A + a = 0.70 + 0.30 = 1

    Proportion AA = 120/215 = 0.56Proportion Aa = 60/215 = 0.28Proportion aa = 35/215 = 0.16

    AA + Aa + aa = 0.56 + 0.28 +0.16 = 1

    Calculating Allele and Genotype Frequencies from # of Individuals

  • Applying the Hardy-Weinberg Principle

    • Example: estimate frequency of a disease allele in a population

    • Phenylketonuria (PKU) is a metabolic disorder that results from homozygosity for a recessive allele

    • Individuals that are homozygous for the deleterious recessive allele cannot break down phenylalanine, results in build up à mental retardation

  • • The occurrence of PKU is 1 per 10,000 births• How many carriers of this disease in the

    population?

  • – Rare deleterious recessives often remain in a population because they are hidden in the heterozygous state (the “carriers”)

    – Natural selection can only act on the homozygous individuals where the phenotype is exposed (individuals who show symptoms of PKU)

    – We can assume HW equilibrium if:• There is no migration from a population with different

    allele frequency

    • Random mating• No genetic drift• Etc

  • • The occurrence of PKU is 1 per 10,000 births(frequency of the disease allele):

    q2 = 0.0001q = sqrt(q2 ) = sqrt(0.0001) = 0.01

    • The frequency of wildtype (normal) alleles is:p = 1 – q = 1 – 0.01 = 0.99

    • The frequency of carriers (heterozygotes) of the deleterious allele is:

    2pq = 2 x 0.99 x 0.01 = 0.0198or approximately 2% of the U.S. population

    So, let’s calculate HW frequencies

  • Conditions for Hardy-Weinberg Equilibrium• The Hardy-Weinberg theorem describes a

    hypothetical population

    • The five conditions for nonevolving populations are rarely met in nature:

    – No mutations – Random mating – No natural selection – Extremely large population size– No gene flow

    • So, in real populations, allele and genotype frequencies do change over time

  • DEVIATIONfrom

    Hardy-Weinberg EquilibriumIndicates that

    EVOLUTIONIs happening

  • • In natural populations, some loci might be out of HW equilibrium, while being in Hardy-Weinberg equilibrium at other loci

    • For example, some loci might be undergoing natural selection and become out of HW equilibrium, while the rest of the genome remains in HW equilibrium

    Hardy-Weinberg across a Genome

  • Allele A1 Demo

  • How can you tell whether a population is out of HW Equilibrium?

  • • Perform HW calculations to see if it looks like the population is out of HW equilibrium

    • Then apply statistical tests to see if the deviation is significantly different from what you would expect by random chance

  • Example: Does this population remain in Hardy Weinberg Equilibrium across Generations?

    AA Aa aaGeneration 1 0.25 0.50 0.25Generation 2 0.20 0.60 0.20Generation 3 0.10 0.80 0.10

  • AA Aa aaGeneration 1 0.25 0.50 0.25Generation 2 0.20 0.60 0.20Generation 3 0.10 0.80 0.10

    ■ In this case, allele frequencies (of A and a) did not change.

    ■ ***However, the population did go out of HW equilibrium because you can no longer predict genotypic frequencies from allele frequencies

    ■ For example, p = 0.5, p2 = 0.25, but in Generation 3, the observe p2 = 0.10

  • How can you tell whether a population is out of HW Equilibrium?

    1. When allele frequencies are changing across generations

    2. When you cannot predict genotype frequencies from allele frequencies (means there is an excess or deficit of genotypes than what would be expected given the allele frequencies)

  • Example: Does this population remain in Hardy Weinberg Equilibrium across Generations?

    AA Aa aaGeneration 1 0.25 0.50 0.25Generation 2 0.24.5 0.50 0.25.5Generation 3 0.25 0.50.5 0.24.5

  • Testing for Deviaton from Hardy-Weinberg Expectations

    • A c2 goodness-of-fit test can be used to determine if a population is significantly different from the expectations of Hardy-Weinberg equilibrium.

    • If we have a series of genotype counts from a population, then we can compare these counts to the ones predicted by the Hardy-Weinberg model.

    • O = observed counts, E = expected counts, sum across genotypes

    http://www.itl.nist.gov/div898/handbook/eda/section3/eda35f.htm

  • Example• Genotype Count: AA 30 Aa 55 aa 15• Calculate the c2 value:

    Genotype Observed Expected (O-E)2/E AA 30 33 0.27 Aa 55 49 0.73 aa 15 18 0.50 Total 100 100 1.50

    • Since c2 = 1.50 < 3.841 (from Chi-square table, alpha = 0.05), we conclude that the genotype frequencies in this population are not significantly different than what would be expected if the population is in Hardy-Weinberg equilibrium.

  • Testing for Deviaton from Hardy-Weinberg Expectations

    • A c2 goodness-of-fit test can be used to determine if a population is significantly different from the expectations of Hardy-Weinberg equilibrium.

    • If we have a series of genotype counts from a population, then we can compare these counts to the ones predicted by the Hardy-Weinberg model.

    • O = observed counts, E = expected counts, sum across genotypes

    56

    http://www.itl.nist.gov/div898/handbook/eda/section3/eda35f.htm

  • Testing for Deviaton from Hardy-Weinberg Expectations

    • O = observed counts, E = expected counts, sum across genotypes

    • We test our c2 value against the Chi-square distribution (sum of square of a normal distribution), which represents the theoretical distribution of sample values under HW equilibrium

    • And determine how likely it is to get our result simply by chance (e.g. due to sampling error); i.e., do our Observed values differ from our Expected values more than what we would expect by chance (= significantly different)?

    • ?

    à Less likely to get these values by chance

    57

  • Test for Deviation from HW equilibrium• Genotype Count Generation 4:

    AA 65 Aa 31 aa 4 • Calculate the c2 value:

    Genotype Observed Expected (O-E)2/E AA 65 64.8 0.00062Aa 31 31.4 0.0051 aa 4 3.8 0.0105Total 100 100 0.016

    • Since c2 = 0.016 < 3.841 (from Chi-square table for critical values, alpha = 0.05), we conclude that the genotype frequencies in this population are not significantly different than what would be expected if the population were in Hardy-Weinberg equilibrium.58

  • • The chi-squared distribution is used because it is the sum of squared normal distributions

    • Calculate Chi-squared test statistic• Figure out degrees of freedom• Select confidence interval (P-value)• Compare your Chi-squared value to the theoretical

    distribution (from the table) and accept or reject the null hypothesis.– If the test statistic > than the critical value, the null hypothesis (H0

    = there is no difference between the distributions) can be rejected with the selected level of confidence, and the alternative hypothesis (H1 = there is a difference between the distributions) can be accepted.

    – If the test statistic < than the critical value, the null hypothesis cannot be rejected 59

  • Test for Significance of Deviation from HW Equilibrium

    Degrees of Freedom is n – 1 = 2 alleles (p, q) -1 = 1

    60

  • Testing for significance• The results come out not significantly different from HW

    equilibrium

    • This does not necessarily mean that genetic drift (or some other evolutionary force) is not happening, but that we cannot conclude that genetic drift is happening

    • Either we do not have enough power (not enough data, small sample size), or genetic drift is not happening

    • Sometimes it is difficult to test whether evolution is happening, even when it is happening... The signal needs to be sufficiently large to be sure that you can’t get the results by chance (like by sampling error)

    61

  • Test for Deviation from HW equilibrium• Genotype Count Generation 4 à increase sample size

    AA 65000 Aa 31000 aa 4000• Calculate the c2 value:

    Genotype Observed Expected (O-E)2/E AA 65000 64800 0.617 Aa 31000 31400 5.10 aa 4000 3800 10.32 Total 100,000 100,000 16.04

    • Since c2 = 16.04 > 3.841 (from Chi-square table for critical values, alpha = 0.05), we conclude that the genotype frequencies in this population ARE significantly different than what would be expected if the population were in Hardy-Weinberg equilibrium.62

  • Test for Significance of Deviation from HW Equilibrium

    Degrees of Freedom is n – 1 = 2 alleles (p, q) -1 = 1

    63

  • • One generation of Random Mating could put a population back into Hardy Weinberg Equilibrium

  • Examples of Deviation from Hardy-Weinberg Equilibrium

  • What would Genetic Drift look like?

    • Most populations are experiencing some level of genetic drift, unless they are incredibly large

  • Examples of Deviation from Hardy-Weinberg Equilibrium

    AA Aa aaGeneration 1 0.64 0.32 0.04Generation 2 0.63 0.33 0.04Generation 3 0.64 0.315 0.045Generation 4 0.65 0.31 0.04

    Is this population in HW equilibrium?If not, how does it deviate?What could be the reason?

  • Examples of Deviation from Hardy-Weinberg Equilibrium

    AA Aa aaGeneration 1 0.64 0.32 0.04Generation 2 0.63 0.33 0.04Generation 3 0.64 0.315 0.045Generation 4 0.65 0.31 0.04

    This looks like a case of Genetic Drift, where allele frequencies are fluctuating randomly across generations; should perform a Goodness of Fit test to determine whether the frequencies deviate significantly from HW expectations

  • Examples of Deviation from Hardy-Weinberg Equilibrium

    AA Aa aa0.64 0.36 0

    Is this population in HW equilibrium?If not, how does it deviate?What could be the reason?

  • Examples of Deviation from Hardy-Weinberg Equilibrium

    AA Aa aa0.64 0.36 0

    This might be a case of Negative Selection disfavoring aa

  • Examples of Deviation from Hardy-Weinberg Equilibrium

    AA Aa aa0.25 0.70 0.05

    Is this population in HW equilibrium?If not, how does it deviate?What could be the reason?

  • Examples of Deviation from Hardy-Weinberg Equilibrium

    AA Aa aa0.25 0.70 0.05

    This appears to be a case of Heterozygote Advantage (or Overdominance)

  • Examples of Deviation from Hardy-Weinberg Equilibrium

    AA Aa aa0.10 0.10 0.80

    Is this population in HW equilibrium?If not, how does it deviate?What could be the reason?

  • Examples of Deviation from Hardy-Weinberg Equilibrium

    AA Aa aa0.10 0.10 0.80

    Selection appears to be favoring aa

  • (1) A nonevolving population is in HW Equilibrium

    (2) Evolution occurs when the requirements for HW Equilibrium are not met

    (3) HW Equilibrium is violated when there is Genetic Drift, Migration, Mutations, Natural Selection, and Nonrandom Mating

    Summary

  • Hardy Weinberg Equilibrium

    Wilhem Weinberg(1862 – 1937)

    Gregor Mendel

    G. H. Hardy(1877 - 1947)

    (1822-1884)

  • Fig. 23-7-4

    Gametes of this generation:

    64% CR CR, 32% CR CW, and 4% CW CW

    64% CR + 16% CR = 80% CR = 0.8 = p

    4% CW + 16% CW = 20% CW = 0.2 = q

    64% CR CR, 32% CR CW, and 4% CW CW plants

    Genotypes in the next generation:

    SpermCR

    (80%)

    CW

    (20%

    )80% CR ( p = 0.8)

    CW(20%)

    20% CW (q = 0.2)

    16% ( pq)CR CW

    4% (q2)CW CW

    CR

    (80%

    )

    64% ( p2)CR CR

    16% (qp)CR CW

    Eggs

    Perform the same calculations using percentages

  • Fig. 23-7-1

    SpermCR

    (80%)

    CW (20%

    )

    80% CR (p = 0.8)

    CW(20%)

    20% CW (q = 0.2)

    16% (pq)CRCW

    4% (q2)CW CW

    CR

    (80%

    )

    64% (p2)CRCR

    16% (qp)CRCW

    Eggs

  • Fig. 23-7-2

    Gametes of this generation:

    64% CRCR, 32% CRCW, and 4% CWCW

    64% CR + 16% CR = 80% CR = 0.8 = p

    4% CW + 16% CW = 20% CW = 0.2 = q

  • Fig. 23-7-3

    Gametes of this generation:

    64% CRCR, 32% CRCW, and 4% CWCW

    64% CR + 16% CR = 80% CR = 0.8 = p

    4% CW + 16% CW = 20% CW = 0.2 = q

    64% CRCR, 32% CRCW, and 4% CWCWplants

    Genotypes in the next generation:

  • 1. Nabila is a Saudi Princess who is arranged to marry her first cousin. Many in her family have died of a rare blood disease, which sometimes skips generations, and thus appears to be recessive. Nabila thinks that she is a carrier of this disease. If her fiancé is also a carrier, what is the probability that her offspring will have (be afflicted with) the disease?

    (A) 1/4(B) 1/3(C) 1/2(D) 3/4(E) zero

  • The following are numbers of pink and white flowers in a population.

    Pink WhiteGeneration 1: 901 302Generation 2: 1204 403Generation 3: 1510 504

    2. Which of the following is most likely to be TRUE?

    (A) The heterozygotes are probably pink(B) The recessive allele here (probably white) is clearly deleterious(C) Evolution is occurring, as allele frequencies are changing greatly over time(D) Clearly there is a heterozygote advantage(E) The frequencies above violate Hardy-Weinberg expectations

  • The following are numbers of purple and white peas in a population. (A1A1) (A1A2) (A2A2)Purple Purple White

    Generation 1: 360 480 160Generation 2: 100 200 200Generation 3: 0 100 300

    3. What are the genotype frequencies at each generation?(A) Generation 1: 0.30, 0.50, 0.20

    Generation 2: 0.20, 0.40, 0.40Generation 3: 0, 0.333, 0.666

    (B) Generation 1: 0.36, 0.48, 0.16Generation 2: 0.10, 0.20, 0.20Generation 3: 0, 0.10, 0.30

    (C) Generation 1: 0.36, 0.48, 0.16Generation 2: 0.20, 0.40, 0.40Generation 3: 0, 0.25, 0.75

    (D) Generation 1: 0.36, 0.48, 0.16Generation 2: 0.36, 0.48, 0.16Generation 3: 0.36, 0.48, 0.16

  • 4. From the example on the previous slide, what are the frequencies of alleles at each generation?

    (A) Generation1: Dominant allele (A1) = 0.6, Recessive allele (A2) = 0.4Generation2: Dominant allele = 0.4, Recessive allele = 0.6Generation3: Dominant allele = 0.125, Recessive allele = 0.875

    (B) Generation1: Dominant allele = 0.6, Recessive allele = 0.4Generation2: Dominant allele = 0.6, Recessive allele = 0.4Generation3: Dominant allele = 0.6, Recessive allele = 0.4

    (C) Generation1: Dominant allele = 0.6, Recessive allele = 0.4Generation2: Dominant allele = 0.5, Recessive allele = 0.5Generation3: Dominant allele = 0.25, Recessive allele = 0.75

    (D) Generation1: Dominant allele = 0.4, Recessive allele = 0.6Generation2: Dominant allele = 0.5, Recessive allele = 0.5Generation3: Dominant allele = 0.25, Recessive allele = 0.75

  • 5. From the example two slides ago, which evolutionary mechanism might be operating across generations?

    (A) Mutation(B) Selection favoring A1(C) Heterozygote advantage(D) Selection favoring A2(E) Inbreeding

  • Answers:

    1. Parents: Aa x Aa = Offspring: AA (25%), Aa (50%), aa (25%)Answer = A2. A3. C4. A5. D