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PowerPoint Slides for Chapter 16: Variation and Population Genetics Section 16.2: How can population genetic information be used to predict evolution? Copyright © 2015 by AM Campbell, LJ Heyer, CJ Paradise. All rights res Integrating Concepts in Biology by A. Malcolm Campbell, Laurie J. Heyer, & Christopher Paradise

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Page 1: PowerPoint Slides for Chapter 16: Variation and Population Genetics Section 16.2: How can population genetic information be used to predict evolution?

PowerPoint Slides for Chapter 16:Variation and Population Genetics

Section 16.2: How can population genetic information be used to predict evolution?

Copyright © 2015 by AM Campbell, LJ Heyer, CJ Paradise. All rights reserved. 

Integrating Concepts in Biology

by A. Malcolm Campbell, Laurie J. Heyer, & Christopher Paradise

Page 2: PowerPoint Slides for Chapter 16: Variation and Population Genetics Section 16.2: How can population genetic information be used to predict evolution?

Biology Learning Objectives• Explain how the Hardy-Weinberg equilibrium

works and how it relates to information in populations.

• Evaluate the application of Hardy-Weinberg equilibrium equation to information and evolution.

• Understand how application of Hardy-Weinberg equation can be used to determine if a population is evolving.

Copyright © 2015 by AM Campbell, LJ Heyer, CJ Paradise. All rights reserved. 

Section 16.2: How can population genetic information be used to predict evolution?

Page 3: PowerPoint Slides for Chapter 16: Variation and Population Genetics Section 16.2: How can population genetic information be used to predict evolution?

Figure 16.9

Observed genotype frequencies of the MN genetic locus in Philippine populations

From Arcellana et al., 2011, Figure 2.

Page 4: PowerPoint Slides for Chapter 16: Variation and Population Genetics Section 16.2: How can population genetic information be used to predict evolution?

Figure 16.9

Observed genotype frequencies of the MN genetic locus in Philippine populations

More north to more south

From Arcellana et al., 2011, Figure 2.

Page 5: PowerPoint Slides for Chapter 16: Variation and Population Genetics Section 16.2: How can population genetic information be used to predict evolution?

Figure 16.9

Observed genotype frequencies of the MN genetic locus in Philippine populations

Is there a latitudinal gradient? Do more northern populations have higher frequencies of certain genotypes?

From Arcellana et al., 2011, Figure 2.

Page 6: PowerPoint Slides for Chapter 16: Variation and Population Genetics Section 16.2: How can population genetic information be used to predict evolution?

Figure 16.9

Observed genotype frequencies of the MN genetic locus in Philippine populations

Using genotype frequencies to determine allele frequencies: • Frequency of MM = 0.73• Frequency of MN = 0.12• Frequency of NN = 0.15

From Arcellana et al., 2011, Figure 2.

Page 7: PowerPoint Slides for Chapter 16: Variation and Population Genetics Section 16.2: How can population genetic information be used to predict evolution?

Figure 16.9

Observed genotype frequencies of the MN genetic locus in Philippine populations

Using genotype frequencies to determine allele frequencies: • The frequency of M allele

(denoted p) is fMM + fMN/2 = 0.73 + 0.12/2 = 0.79.

• The frequency of N allele (denoted q) is fNN + fMN/2 = 0.15 + 0.12/2 = 0.21.

From Arcellana et al., 2011, Figure 2.

Page 8: PowerPoint Slides for Chapter 16: Variation and Population Genetics Section 16.2: How can population genetic information be used to predict evolution?

Figures 16.9 and 10

• The frequency of M allele (denoted p) is fMM + fMN/2 = 0.73 + 0.12/2 = 0.79.

• The frequency of N allele (denoted q) is fNN + fMN/2 = 0.15 + 0.12/2 = 0.21.

Observed genotype frequencies of the MN genetic locus in Philippine populations

From Arcellana et al., 2011, Figure 2 & 3.

Page 9: PowerPoint Slides for Chapter 16: Variation and Population Genetics Section 16.2: How can population genetic information be used to predict evolution?

Figure 16.10

Observed genotype frequencies of the MN genetic locus in Philippine populations

From Arcellana et al., 2011, Figure 3.

Page 10: PowerPoint Slides for Chapter 16: Variation and Population Genetics Section 16.2: How can population genetic information be used to predict evolution?

Figure 16.10

Observed genotype frequencies of the MN genetic locus in Philippine populations

More north to more south

From Arcellana et al., 2011, Figure 3.

Page 11: PowerPoint Slides for Chapter 16: Variation and Population Genetics Section 16.2: How can population genetic information be used to predict evolution?

Figure 16.10

Observed genotype frequencies of the MN genetic locus in Philippine populations

Is there a latitudinal gradient? Do more northern populations have higher frequencies of certain genotypes?

From Arcellana et al., 2011, Figure 3.

Page 12: PowerPoint Slides for Chapter 16: Variation and Population Genetics Section 16.2: How can population genetic information be used to predict evolution?

Table 16.2

Possible combinations of mating pairs in a population where 3 genotypes exist at one

genetic locus with two alleles

Copyright © 2015 by AM Campbell, LJ Heyer, CJ Paradise. All rights reserved. 

Page 13: PowerPoint Slides for Chapter 16: Variation and Population Genetics Section 16.2: How can population genetic information be used to predict evolution?

Table 16.2

Possible combinations of mating pairs in a population where 3 genotypes exist at one

genetic locus with two alleles

All offspring of MM parents (MM x MM mating) result in MM offspring.

Copyright © 2015 by AM Campbell, LJ Heyer, CJ Paradise. All rights reserved. 

Page 14: PowerPoint Slides for Chapter 16: Variation and Population Genetics Section 16.2: How can population genetic information be used to predict evolution?

Table 16.2

Possible combinations of mating pairs in a population where 3 genotypes exist at one

genetic locus with two alleles

Copyright © 2015 by AM Campbell, LJ Heyer, CJ Paradise. All rights reserved. 

Page 15: PowerPoint Slides for Chapter 16: Variation and Population Genetics Section 16.2: How can population genetic information be used to predict evolution?

Table 16.2

Possible combinations of mating pairs in a population where 3 genotypes exist at one

genetic locus with two alleles

When a MM male mates with a MN female, for instance, 50% of their offspring are predicted to be MM and 50% are predicted to be MN.

Copyright © 2015 by AM Campbell, LJ Heyer, CJ Paradise. All rights reserved. 

Page 16: PowerPoint Slides for Chapter 16: Variation and Population Genetics Section 16.2: How can population genetic information be used to predict evolution?

Table 16.2

Possible combinations of mating pairs in a population where 3 genotypes exist at one

genetic locus with two alleles

When two heterozygotes mate they are predicted to produce offspring of all 3 genotypes in the percentages given above.

Copyright © 2015 by AM Campbell, LJ Heyer, CJ Paradise. All rights reserved. 

Page 17: PowerPoint Slides for Chapter 16: Variation and Population Genetics Section 16.2: How can population genetic information be used to predict evolution?

Table 16.2

Possible combinations of mating pairs in a population where 3 genotypes exist at one

genetic locus with two alleles

Copyright © 2015 by AM Campbell, LJ Heyer, CJ Paradise. All rights reserved. 

Page 18: PowerPoint Slides for Chapter 16: Variation and Population Genetics Section 16.2: How can population genetic information be used to predict evolution?

Table 16.3

Ways to get MM, MN, and NN offspring from matings of MM, MN, and NN parents

• To determine the probability of obtaining a target genotype, figure out all possible pairings that produce that genotype.

Copyright © 2015 by AM Campbell, LJ Heyer, CJ Paradise. All rights reserved. 

Page 19: PowerPoint Slides for Chapter 16: Variation and Population Genetics Section 16.2: How can population genetic information be used to predict evolution?

Table 16.3

Ways to get MM, MN, and NN offspring from matings of MM, MN, and NN parents

• To determine the probability of obtaining a target genotype, figure out all possible pairings that produce that genotype.

• Here, MM x MM matings will ONLY produce MM offspring (1 in column 3)

• Probability of two MM individuals mating is fMM x fMM

Copyright © 2015 by AM Campbell, LJ Heyer, CJ Paradise. All rights reserved. 

Page 20: PowerPoint Slides for Chapter 16: Variation and Population Genetics Section 16.2: How can population genetic information be used to predict evolution?

Table 16.3

Ways to get MM, MN, and NN offspring from matings of MM, MN, and NN parents

• To determine the probability of obtaining a target genotype, figure out all possible pairings that produce that genotype.

• Here, MM x MM matings will ONLY produce MM offspring (1 in column 3)

• Probability of two MM individuals mating is fMM x fMM

• Probability of the mating (4) times probability that offspring will be target (3) is in column 5.

Copyright © 2015 by AM Campbell, LJ Heyer, CJ Paradise. All rights reserved. 

Page 21: PowerPoint Slides for Chapter 16: Variation and Population Genetics Section 16.2: How can population genetic information be used to predict evolution?

Table 16.3

Ways to get MM, MN, and NN offspring from matings of MM, MN, and NN parents

• MM x MN matings will produce MM offspring half the time (1/2 in column 3)

• Probability of a MM x MN mating is fMM x fMN

• Probability of the mating (4) times probability that offspring will be target (3) is in column 5.

Copyright © 2015 by AM Campbell, LJ Heyer, CJ Paradise. All rights reserved. 

Page 22: PowerPoint Slides for Chapter 16: Variation and Population Genetics Section 16.2: How can population genetic information be used to predict evolution?

Table 16.3

Ways to get MM, MN, and NN offspring from matings of MM, MN, and NN parents

• Similarly, MN x MM matings will produce MM offspring half the time (1/2 in column 3)

• Probability of a MN x MM mating is fMN x fMM

• Probability of the mating (4) times probability that offspring will be target (3) is in column 5.

Copyright © 2015 by AM Campbell, LJ Heyer, CJ Paradise. All rights reserved. 

Page 23: PowerPoint Slides for Chapter 16: Variation and Population Genetics Section 16.2: How can population genetic information be used to predict evolution?

Table 16.3

Ways to get MM, MN, and NN offspring from matings of MM, MN, and NN parents

• Finally, MN x MN matings will produce MM offspring 25% of the time (1/4 in column 3)

• Probability of a MN x MN mating is fMN x fMN

• Probability of the mating (4) times probability that offspring will be target (3) is in column 5.

Copyright © 2015 by AM Campbell, LJ Heyer, CJ Paradise. All rights reserved. 

Page 24: PowerPoint Slides for Chapter 16: Variation and Population Genetics Section 16.2: How can population genetic information be used to predict evolution?

Table 16.3

Ways to get MM, MN, and NN offspring from matings of MM, MN, and NN parents

• Add all cells in column 5 to get equation in column 6• Repeat process for MN and NN offspring:

Copyright © 2015 by AM Campbell, LJ Heyer, CJ Paradise. All rights reserved. 

Page 25: PowerPoint Slides for Chapter 16: Variation and Population Genetics Section 16.2: How can population genetic information be used to predict evolution?

Table 16.3

Ways to get MM, MN, and NN offspring from matings of MM, MN, and NN parents

• Add all cells in column 5 to get equation in column 6

Copyright © 2015 by AM Campbell, LJ Heyer, CJ Paradise. All rights reserved. 

Page 26: PowerPoint Slides for Chapter 16: Variation and Population Genetics Section 16.2: How can population genetic information be used to predict evolution?

Table 16.3

Ways to get MM, MN, and NN offspring from matings of MM, MN, and NN parents

• Add all cells in column 5 to get equation in column 6

Copyright © 2015 by AM Campbell, LJ Heyer, CJ Paradise. All rights reserved. 

Page 27: PowerPoint Slides for Chapter 16: Variation and Population Genetics Section 16.2: How can population genetic information be used to predict evolution?

Table 16.3

Ways to get MM, MN, and NN offspring from matings of MM, MN, and NN parents

Copyright © 2015 by AM Campbell, LJ Heyer, CJ Paradise. All rights reserved. 

Page 28: PowerPoint Slides for Chapter 16: Variation and Population Genetics Section 16.2: How can population genetic information be used to predict evolution?

Table 16.3

Ways to get MM, MN, and NN offspring from matings of MM, MN, and NN parents

• To determine the probability of obtaining a target genotype, figure out all possible pairings that produce that genotype.

Copyright © 2015 by AM Campbell, LJ Heyer, CJ Paradise. All rights reserved. 

Page 29: PowerPoint Slides for Chapter 16: Variation and Population Genetics Section 16.2: How can population genetic information be used to predict evolution?

BME 16.2: How can you predict the Hardy-Weinberg equilibrium?

• To find the probability that a particular mating will produce the target offspring genotype, as shown in column 3, you multiply the probability that the mother and father each donate the necessary alleles.

• Use the multiplication rule and addition rule

Table 16.3 Copyright © 2015 by AM Campbell, LJ Heyer, CJ Paradise. All rights reserved. 

Page 30: PowerPoint Slides for Chapter 16: Variation and Population Genetics Section 16.2: How can population genetic information be used to predict evolution?

BME 16.2: How can you predict the Hardy-Weinberg equilibrium?

• The multiplication rule: the probability of events A and B both occurring is the probability that A occurs multiplied by the probability that B occurs, provided that A and B are independent.

• Used to determine probability of each pairing in column 4• Used to determine probability that a mating will occur and that

it will produce target offspring (column 4 x column 3 = column 5)Table 16.3 Copyright © 2015 by AM Campbell, LJ Heyer, CJ Paradise. All rights reserved. 

Page 31: PowerPoint Slides for Chapter 16: Variation and Population Genetics Section 16.2: How can population genetic information be used to predict evolution?

BME 16.2: How can you predict the Hardy-Weinberg equilibrium?

• The addition rule: the probability of event A or event B occurring is the probability that A occurs plus the probability that B occurs, provided that A and B are mutually exclusive.

• Used to determine total probability of a target offspring genotype. • The matings that can produce the target genotype are mutually

exclusive: probability of MM offspring = probability of MM from MM x MM or MM x MN or MN x MM or MN x MN.

Table 16.3 Copyright © 2015 by AM Campbell, LJ Heyer, CJ Paradise. All rights reserved. 

Page 32: PowerPoint Slides for Chapter 16: Variation and Population Genetics Section 16.2: How can population genetic information be used to predict evolution?

genotypeobserved frequency

HW equilibrium frequencies

MM 0.74 0.632025MN 0.11 0.32595NN 0.15 0.042025total 1 1

genotypeHW equilibrium

frequenciespredicted next

generationMM 0.632025 0.632025MN 0.32595 0.32595NN 0.042025 0.042025total 1 1

VALIDATION

CALCULATION

BME 16.2: Hardy-Weinberg.xlsx

Where do these appear in Table 16.3?

Copyright © 2015 by AM Campbell, LJ Heyer, CJ Paradise. All rights reserved. 

Page 33: PowerPoint Slides for Chapter 16: Variation and Population Genetics Section 16.2: How can population genetic information be used to predict evolution?

genotypeobserved frequency

HW equilibrium frequencies

MM 0.74 0.632025MN 0.11 0.32595NN 0.15 0.042025total 1 1

genotypeHW equilibrium

frequenciespredicted next

generationMM 0.632025 0.632025MN 0.32595 0.32595NN 0.042025 0.042025total 1 1

VALIDATION

CALCULATION

BME 16.2: Hardy-Weinberg.xlsx

Column 6 from Table 16.3

Copyright © 2015 by AM Campbell, LJ Heyer, CJ Paradise. All rights reserved. 

Page 34: PowerPoint Slides for Chapter 16: Variation and Population Genetics Section 16.2: How can population genetic information be used to predict evolution?

genotypeobserved frequency

HW equilibrium frequencies

MM 0.74 0.632025MN 0.11 0.32595NN 0.15 0.042025total 1 1

genotypeHW equilibrium

frequenciespredicted next

generationMM 0.632025 0.632025MN 0.32595 0.32595NN 0.042025 0.042025total 1 1

VALIDATION

CALCULATION

BME 16.2: Hardy-Weinberg.xlsx

What is significance if these do not change from generation to generation?

Copyright © 2015 by AM Campbell, LJ Heyer, CJ Paradise. All rights reserved. 

Page 35: PowerPoint Slides for Chapter 16: Variation and Population Genetics Section 16.2: How can population genetic information be used to predict evolution?

genotypeobserved frequency

HW equilibrium frequencies

MM 0.74 0.632025MN 0.11 0.32595NN 0.15 0.042025total 1 1

genotypeHW equilibrium

frequenciespredicted next

generationMM 0.632025 0.632025MN 0.32595 0.32595NN 0.042025 0.042025total 1 1

VALIDATION

CALCULATION

BME 16.2: Hardy-Weinberg.xlsx

Population moves quickly to Hardy-Weinberg equilibrium

Population is NOT in Hardy-Weinberg equilibrium

Copyright © 2015 by AM Campbell, LJ Heyer, CJ Paradise. All rights reserved. 

Page 36: PowerPoint Slides for Chapter 16: Variation and Population Genetics Section 16.2: How can population genetic information be used to predict evolution?

genotypeobserved frequency

HW equilibrium frequencies

MM 0.25 0.25MN 0.5 0.5NN 0.25 0.25total 1 1

genotypeHW equilibrium

frequenciespredicted next

generationMM 0.25 0.25MN 0.5 0.5NN 0.25 0.25total 1 1

VALIDATION

CALCULATION

BME 16.2: Hardy-Weinberg.xlsx

Population stays in Hardy-Weinberg equilibrium

Population is in Hardy-Weinberg equilibrium

Copyright © 2015 by AM Campbell, LJ Heyer, CJ Paradise. All rights reserved. 

Page 37: PowerPoint Slides for Chapter 16: Variation and Population Genetics Section 16.2: How can population genetic information be used to predict evolution?

genotypeobserved frequency

HW equilibrium frequencies

MM 0.1 0.25MN 0.8 0.5NN 0.1 0.25total 1 1

genotypeHW equilibrium

frequenciespredicted next

generationMM 0.25 0.25MN 0.5 0.5NN 0.25 0.25total 1 1

VALIDATION

CALCULATION

BME 16.2: Hardy-Weinberg.xlsx

Population moves quickly to Hardy-Weinberg equilibrium

Population is NOT in Hardy-Weinberg equilibrium

Copyright © 2015 by AM Campbell, LJ Heyer, CJ Paradise. All rights reserved. 

Page 38: PowerPoint Slides for Chapter 16: Variation and Population Genetics Section 16.2: How can population genetic information be used to predict evolution?

genotypeobserved frequency

HW equilibrium frequencies

MM 0.04 0.04MN 0.32 0.32NN 0.64 0.64total 1 1

genotypeHW equilibrium

frequenciespredicted next

generationMM 0.04 0.04MN 0.32 0.32NN 0.64 0.64total 1 1

VALIDATION

CALCULATION

BME 16.2: Hardy-Weinberg.xlsx

Population stays in Hardy-Weinberg equilibrium

Population is in Hardy-Weinberg equilibrium

Copyright © 2015 by AM Campbell, LJ Heyer, CJ Paradise. All rights reserved. 

Page 39: PowerPoint Slides for Chapter 16: Variation and Population Genetics Section 16.2: How can population genetic information be used to predict evolution?

BME 16.2: How can you predict the Hardy-Weinberg equilibrium? Using allele

frequencies to calculate H-W equilibrium• Allele frequencies should tell us a lot about the next generation’s

genotype frequencies. • Let the proportion of M alleles = p • Let the proportion of N alleles = q,

Copyright © 2015 by AM Campbell, LJ Heyer, CJ Paradise. All rights reserved. 

Page 40: PowerPoint Slides for Chapter 16: Variation and Population Genetics Section 16.2: How can population genetic information be used to predict evolution?

BME 16.2: How can you predict the Hardy-Weinberg equilibrium? Using allele

frequencies to calculate H-W equilibrium• Allele frequencies should tell us a lot about the next generation’s

genotype frequencies. • Let the proportion of M alleles = p • Let the proportion of N alleles = q, • You might predict that any randomly selected offspring would be

MM with probability p2, MN with probability 2pq, and NN with probability q2.

 Bio-Math Exploration Integrating Question7. Recall the relationship between allele frequencies and genotype frequencies: p = fMM + fMN/2 and q = fNN + fMN/2. Use these formulas and algebraic manipulation to calculate p2, 2pq, and q2.

Copyright © 2015 by AM Campbell, LJ Heyer, CJ Paradise. All rights reserved. 

Page 41: PowerPoint Slides for Chapter 16: Variation and Population Genetics Section 16.2: How can population genetic information be used to predict evolution?

BME 16.2: How can you predict the Hardy-Weinberg equilibrium? Using allele

frequencies to calculate H-W equilibriumBio-Math Exploration Integrating Question7. Recall the relationship between allele frequencies and genotype frequencies: p = fMM + fMN/2 and q = fNN + fMN/2. Use these formulas and algebraic manipulation to calculate p2, 2pq, and q2. • p2 = fMM

2 + fMM x fMN + ¼ x fMN2 (probability of MM in the offspring

generation from Table 16.3)• 2pq = fMM x fMN + 2 fMM x fNN + fMN

2/2 + fMN x fNN, from Table 16.3

• q2 = ¼ x fMN2 + fMN x fNN + fNN

2, also from Table 16.3

Copyright © 2015 by AM Campbell, LJ Heyer, CJ Paradise. All rights reserved. 

Page 42: PowerPoint Slides for Chapter 16: Variation and Population Genetics Section 16.2: How can population genetic information be used to predict evolution?

BME 16.2: How can you predict the Hardy-Weinberg equilibrium? Using allele

frequencies to calculate H-W equilibriumTherefore, once you know the allele frequencies p and q in a population, the Hardy-Weinberg frequencies are very easy to calculate. p2 = fMM

2 + fMM x fMN + ¼ x fMN2 (probability of MM in the offspring

generation from Table 16.3)2pq = fMM x fMN + 2 fMM x fNN + fMN

2/2 + fMN x fNN, from Table 16.3q2 = ¼ x fMN

2 + fMN x fNN + fNN2

, also from Table 16.3

Hardy-Weinberg frequencies are given by the terms in the expansion of (p + q)2 = p2 + 2pq + q2. Verify this alternative way to calculate Hardy-Weinberg genotype frequencies in “hardy-weinberg.xlsx.”

Copyright © 2015 by AM Campbell, LJ Heyer, CJ Paradise. All rights reserved. 

Page 43: PowerPoint Slides for Chapter 16: Variation and Population Genetics Section 16.2: How can population genetic information be used to predict evolution?

allele allele freq genotype

HW equilibrium frequencies

M 0.2 MM 0.04N 0.8 MN 0.32

NN 0.64Total 1 1

genotype

HW equilibrium frequencies

predicted next

generationMM 0.04 0.04MN 0.32 0.32NN 0.64 0.64

Total 1 1

VALIDATION

CALCULATION

BME 16.2: How can you predict the Hardy-Weinberg equilibrium?

p2 + 2pq + q2 = 1

p + q = 1

Using allele frequencies to calculate H-W equilibrium

Copyright © 2015 by AM Campbell, LJ Heyer, CJ Paradise. All rights reserved. 

Page 44: PowerPoint Slides for Chapter 16: Variation and Population Genetics Section 16.2: How can population genetic information be used to predict evolution?

BME 16.2: How can you predict the Hardy-Weinberg equilibrium? Using allele

frequencies to calculate H-W equilibrium

Now you know how to predict long-run genotype frequencies, assuming random mating, a large population, no genetic drift, and no

gene flow, and you know how to use these predictions to identify populations undergoing evolution.

Copyright © 2015 by AM Campbell, LJ Heyer, CJ Paradise. All rights reserved. 

Page 45: PowerPoint Slides for Chapter 16: Variation and Population Genetics Section 16.2: How can population genetic information be used to predict evolution?

Figure 16.11

Observed and HW genotype frequencies of the MN genetic locus in Philippine populations

Observed genotype frequencies from Figure 16.9 and the predicted genotype frequencies are represented by two shades of the same color

From Arcellana et al., 2011, Figure 2 and calculated from data in Figures 2 and 3.

Page 46: PowerPoint Slides for Chapter 16: Variation and Population Genetics Section 16.2: How can population genetic information be used to predict evolution?

Figure 16.11

Observed and HW genotype frequencies of the MN genetic locus in Philippine populations

If bars of a similar color are different heights, the population is judged to NOT be in Hardy-Weinberg equilibrium.

Page 47: PowerPoint Slides for Chapter 16: Variation and Population Genetics Section 16.2: How can population genetic information be used to predict evolution?

Figure 16.11

Observed and HW genotype frequencies of the MN genetic locus in Philippine populations

• The population is judged to NOT be in Hardy-Weinberg equilibrium.

• Isabela composed of high proportion of a particular ethnic group, with high localized migration from nearby towns.

• Towns had similar frequencies of M and N alleles.

• Isolation and inbreeding in small populations can lead to populations not in HW equilibrium.

Page 48: PowerPoint Slides for Chapter 16: Variation and Population Genetics Section 16.2: How can population genetic information be used to predict evolution?

Figure 16.11

Observed and HW genotype frequencies of the MN genetic locus in Philippine populations

If bars of a similar color are the same or similar height, then the population is judged to be in Hardy-Weinberg equilibrium.

Page 49: PowerPoint Slides for Chapter 16: Variation and Population Genetics Section 16.2: How can population genetic information be used to predict evolution?

Figure 16.11

Observed and HW genotype frequencies of the MN genetic locus in Philippine populations

judged to be in HW equilibrium.

Page 50: PowerPoint Slides for Chapter 16: Variation and Population Genetics Section 16.2: How can population genetic information be used to predict evolution?

Figure 16.11

Observed and HW genotype frequencies of the MN genetic locus in Philippine populations

judged to NOT be in HW equilibrium.

Page 51: PowerPoint Slides for Chapter 16: Variation and Population Genetics Section 16.2: How can population genetic information be used to predict evolution?

Figure 16.11

Observed and HW genotype frequencies of the MN genetic locus in Philippine populations

NO north to south trend