PROBLEMS

WORKING WITH THE FIGURES

Question 19.1

Figure 19-9 shows the trait distributions before and after a cycle of artificial selection. Does the variance of the trait appear to have changed as a result of selection? Explain.

Question 19.2

Figure 19-11 shows the expected distributions for the three genotypic classes if the B locus is a QTL affecting the trait value.

  1. As drawn, what is the dominance/additive (D/A) ratio?

  2. How would you redraw this figure if the B locus had no effect on the trait value?

  3. How would the positions along the x-axis of the curves for the different genotypic classes of the B locus change if D/A = 1.0?

Question 19.3

Figure 19-16 shows the results of a QTL fine-mapping experiment. Which gene would be implicated as controlling fruit weight if the mean fruit weight for each line was as follows?

Line

Fruit weight (g)

  1

181.4

  2

169.3

  3

170.7

  4

171.2

  5

171.4

  6

182.2

  7

180.6

  8

180.7

  9

181.8

10

169.3

757

Question 19.4

Figure 19-17 shows a set of haplotypes. Suppose these are haplotypes for a chromosomal segment from 18 haploid yeast strains. On the right edge of the figure, the S and D indicate whether the strain survives (S) or dies (D) at high temperature (40°C). Using the χ2 test (see Chapter 3) and Table 3-1, does either SNP1 or SNP6 show evidence for an association with the growth phenotype? Explain.

Question 19.5

Figure 19-18a shows a plot of P values (represented by the dots) along the chromosomes of the dog genome. Each P value is the result of a statistical test of association between a SNP and body size. Other than the cluster of small P values near IGF1, do you see any chromosomal regions with evidence for a significant association between a SNP and body size? Explain.

Question 19.6

Figure 19-19 shows plots of P values (represented by the dots) along the chromosomes of the human genome. Each P value is the result of a statistical test of association between a SNP and a disease condition. There is a cluster, or spike, of statistically significant P values (green dots) at the gene HLA-DRB1 for two diseases. Why might this particular gene contribute to susceptibility for the autoimmune diseases rheumatoid arthritis and type 1 diabetes?

BASIC PROBLEMS

Question 19.7

Distinguish between continuous and discontinuous variation in a population, and give some examples of each.

Question 19.8

What are the central assumptions of the multifactorial hypothesis?

Question 19.9

The table below shows a distribution of bristle number in a Drosophila population. Calculate the mean, variance, and standard deviation for these data.

Bristle number

Number of individuals

1

 1

2

 4

3

 7

4

31

5

56

6

17

7

 4

Question 19.10

Suppose that the mean IQ in the United States is roughly 100 and the standard deviation is 15 points. People with IQs of 145 or higher are considered “geniuses” on some scales of measurement. What percentage of the population is expected to have an IQ of 145 or higher? In a country with 300 million people, how many geniuses are there expected to be?

Question 19.11

In a sample of adult women from the United States, the average height was 164.4 cm and the standard deviation was 6.2 cm. Women who are more than 2 standard deviations above the mean are considered very tall, and women who are more than 2 standard deviations below the mean are considered very short. Height in women is normally distributed.

  1. What are the heights of very tall and very short women?

  2. In a population of 10,000 women, how many are expected to be very tall and how many very short?

Question 19.12

A bean breeder is working with a population in which the mean number of pods per plant is 50 and the variance is 10 pods2. The broad-sense heritability is known to be 0.8. Given this information, can the breeder be assured that the population will respond to selection for an increase in the number of pods per plant in the next generation?

Question 19.13

The table below shows the number of piglets per litter for a group of 60 sows. What is the mean number of piglets per litter? What is the relative frequency of litters with at least 12 piglets?

Number of litters

Piglets/litter

1

6

3

7

7

8

12

9

18

10

20

11

17

12

14

13

6

14

2

15

Question 19.14

A chicken breeder is working with a population in which the mean number of eggs laid per hen in one month is 28 and the variance is 5 eggs2. The narrow-sense heritability is known to be 0.8. Given this information, can the breeder expect that the population will respond to selection for an increase in the number of eggs per hen in the next generation?

  1. No, applying selection is always risky and a breeder never knows what to expect.

  2. No, a breeder needs to know the broad-sense heritability to know what to expect.

  3. Yes, since the narrow-sense heritability is close to 1 (0.8), then we would expect selective breeding could lead to increased egg production in the next generation.

  4. Yes, since the variance is greater than 0.

  5. Both c and d are correct.

Question 19.15

The narrow-sense heritability of the number of peas per pod in a population of sugar snap peas is 0.5. The mean of the population is 6.2 peas per pod. A plant breeder selects one plant with 6.8 peas per pod and crosses with a second plant that has 8.0 peas per pod. What is the expected numbers of peas per pod among the offspring of this cross?

Question 19.16

QTL mapping and GWA (association) mapping are two different methods used to identify genes that affect complex traits. For each of the following statements, choose whether it applies to QTL mapping, association mapping, or both.

758

Statement

QTL

GWA

Both

This method requires that the experimenter make crosses between different strains to produce a mapping population.

This method can scan the entire genome to find QTL for a trait.

This method can often identify the specific genes that represent the QTL.

This method may sample a large number of individuals from a random-mating population that has variation for the trait being studied.

This method typically tests two alleles that differ between the two parents of the mapping population.

CHALLENGING PROBLEMS

Question 19.17

In a large herd of cattle, three different characters showing continuous distribution are measured, and the variances in the following table are calculated:

Characters

Variance

Shank length

Neck length

Fat content

Phenotypic

310.2

730.4

106.0

Environmental

248.1

292.2

53.0

Additive genetic

  46.5

  73.0

  42.4

Dominance genetic

  15.6

365.2

  10.6

  1. Calculate the broad- and narrow-sense heritabilities for each character.

  2. In the population of animals studied, which character would respond best to selection? Why?

  3. A project is undertaken to decrease mean fat content in the herd. The mean fat content is currently 10.5 percent. Animals with a mean of 6.5 percent fat content are interbred as parents of the next generation. What mean fat content can be expected in the descendants of these animals?

Question 19.18

In a species of the Darwin’s finches (Geospiza fortis), the narrow-sense heritability of bill depth has been estimated to be 0.79. Bill depth is correlated with the ability of the finches to eat large seeds. The mean bill depth for the population is 9.6 mm. A male with a bill depth of 10.8 mm is mated with a female with a bill depth of 9.8 mm. What is the expected value for bill depth for the offspring of this mating pair?

Question 19.19

Two inbred lines of laboratory mice are intercrossed. In the F1 (which have identical genotypes at all loci), the variance in adult weight is measured at 3 g2. The F1 animals are intercrossed to create an F2 in which the variance in adult weight is 16 g2. Estimate the broad heritability of adult weight in the F2 population of this experiment. (The environments in which the F1 and F2 animals were reared were equivalent.)

Question 19.20

The table below shows the weights of 100 individual mice of the same inbred strain reared on different diets. For an individual mouse that weights 27 g, how much of its weight is due to its genetics and how much to the specific diet it was fed (environment)? (Other than diet, the mice were reared in equivalent environments.)

Number of mice

Weight (g)

 5

21

13

22

18

23

21

24

22

25

16

26

 5

27

Question 19.21

The table below contains measurements of total serum cholesterol (mg/dl) for 10 sets of monozygotic twins who were reared apart. Calculate the following: overall mean, overall variance, covariance between the twins, and broad-sense heritability (H2).

X

X

228

222

186

152

204

220

142

185

226

210

217

190

207

226

185

213

179

159

170

129

Question 19.22

The table below contains the height in centimeters for 10 sets of adult women twins. Calculate the correlation coefficient (r) between the heights of the sisters for the twin pairs.

Twin 1

Twin 2

158

163

156

150

172

173

156

154

160

163

159

153

170

174

177

174

165

168

172

165

759

Question 19.23

Population A consists of 100 hens that are fully isogenic and that are reared in a uniform environment. The average weight of the eggs they lay is 52 g, and the variance is 3.5 g2. Population B consists of 100 genetically variable hens that produce eggs with a mean weight of 52 g and a variance of 21.0 g2. Population B is raised in an environment that is equivalent to that of Population A. What is the environmental variance (Ve) for egg weight? What is the genetic variance in Population B? What is the broad-sense heritability in Population B?

Question 19.24

Maize plants in a population are on average 180 cm tall. Narrow-sense heritability for plant height in this population is 0.5. A breeder selects plants that are 10 cm taller on average than the population mean to produce the next generation, and the breeder continues applying this level of selection for eight generations. What will be the average height of the plants after eight generations of selection? Assume that h2 remains 0.5 and Ve does not change over the course of the experiment.

Question 19.25

In a population of Drosophila melanogaster reared in the laboratory, the mean wing length is 0.55 mm and the range is 0.35 to 0.65. A geneticist selects a female with wings that are 0.42 mm in length and mates her with a male that has wings that are 0.56 mm in length.

  1. What is the expected wing length of their offspring if wing length has a narrow-sense heritability of 1.0?

  2. What is the expected wing length of their offspring if wing length has a narrow-sense heritability of 0.0?

Question 19.26

Different species of crickets have distinct songs, and they use these songs for mate recognition. Researchers crossed two species of Hawaiian crickets (Laupala paranigra and L. kohalensis) whose songs are distinguished by pulse rate (the number of pulses per second; Shaw et al., Molecular Ecology 16, 2007, 2879–2892.) Then, they mapped QTL in the F2 population derived from this cross. Six autosomal QTL were detected. The mean trait values (pulses per second) at the three genotypic classes in the F2 for each QTL are shown in the table below, where P indicates the L. paranigra allele and K indicates the L. kohalensis allele.

QTL

P/P

P/K

K/K

1

1.54

1.89

2.10

2

1.75

1.87

1.94

3

1.72

1.88

1.92

4

1.70

1.82

2.02

5

1.67

1.80

2.13

6

1.57

1.88

2.19

  1. Calculate the additive (A) and dominance (D) effects and the D/A ratio for each of the six QTL.

  2. Which of these QTL shows the greatest amount of dominance?

  3. Which of these has the largest additive effect?

  4. The mean pulse rate for L. kohalensis is 3.72, and it is 0.71 for L. paranigra. Do all six QTL act in the expected direction with the L. kohalensis allele conferring a higher pulse rate than the L. paranigra allele?

Question 19.27

Question 26 refers to QTL on the cricket autosomes. For the sex chromosomes, females crickets are XX and males crickets are XO, having just one X chromosome but no Y chromosome. Can QTL for pulse rate be mapped on cricket X chromosomes? If the song is only sung by male crickets, can the dominance effects of QTL on the X be estimated?

Question 19.28

GWA studies reveal statistical correlations between the genotypes at marker loci in genes and complex traits. Do GWA studies prove that allelic variation in a gene actually causes the variation in the trait? If not, what experiments could prove that allelic variants in a gene in a population are responsible for variation in a trait?

Question 19.29

The ocular albinism-2 (OCA2) gene and the melanocortin-1-receptor (MC1R) gene are both involved in melanin metabolism in skin cells in humans. To test whether variation at these genes contributes to sun sensitivity and the associated risk of being afflicted with skin cancer, you perform association analyses. A sample of 1000 people from Iceland were asked to classify themselves as having tanning or burning (nontanning) skin when exposed to the sun. The individuals were also genotyped for a SNP in each gene (rs7495174 and rs1805007). The table shows the number of individuals in each class.

OCA2 (rs7495174)

MC1R (rs1805007)

A/A

A/G

G/G

C/C

C/T

T/T

Burning

245

  56

1

192

  89

21

Tanning

555

134

9

448

231

19

  1. What are the frequencies of tanning and burning phenotypes in Iceland?

  2. What are the allelic frequencies at each locus (SNP)?

  3. Using the χ2 test (see Chapter 3) and Table 3-1, test the null hypothesis that there is no association between these SNPs and sun-sensitive skin. Does either SNP show evidence for an association?

  4. If you find evidence for an association between the gene and the trait, what is the mode of gene action?

  5. If the P value is greater than 0.05, does that prove that the gene does not contribute to variation for sun sensitivity? Why?

760