Lab Instructions_ Genetics and Evolution Act II Mission Memo
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Lab Instructions: Genetics and Evolution Act II Mission Memo
Greetings Fellow Explorer:
The breeding experiment of sunstalks was a success! From this experiment, we learned that metal tolerance is indeed a heritable trait. However, as is the case with many traits, metal tolerance in sunstalks is a continuous variable that depends on hundreds of genes.
Therefore, it would be impractical to use gene-editing tools to save the population sunstalks. Instead, we selected sunstalks with sufficient metal tolerance and transplanted
them to the contaminated areas of the sanctuary, hopefully giving the stalkleapers a chance for survival as well. Unfortunately, our solution to one problem inadvertently caused another problem: one of
the genes for metal tolerance is linked to a gene trait that enables the azure pods’ to close in response to a chemical stimulus from the stalkleapers. These pods must close properly to protect the stalkleapers from their predators. Given that a single gene affects this function of the azure pods, we can edit this gene to correct the problem in real time, preventing the collapse of an entire ecosystem.
To save the sunstalks and the stalkleapers, we must apply our understanding of genetics
and evolution to this problem. Use the following questions to guide your work:
●
What is the heritability of metal tolerance in the population of sunstalks?
●
Will the mean metal tolerance evolve rapidly enough for the population of stalkleapers to persist?
●
How should we edit the DNA of a sunstalk to restore its ability to close its azure pods?
Universally in your debt,
The AI
Appendix 1
What is the heritability of metal tolerance in the population of
sunstalks?
Before we resort to gene editing, we must be sure that natural selection will enable the sunstalks to adapt to the contaminated soil in the sanctuary. The rate at which a trait evolves by natural selection depends on several factors, including the amount of heritable variation in the trait. By estimating the heritability of metal tolerance, we can get
a step closer to determining how quickly the sunstalks can adapt to their environment. We will follow two key steps to answer the question, “What is the heritability of metal tolerance in the population of sunstalks?”
Step 1: Interpreting heritability. Compare and interpret estimates of heritability between traits. This step will prepare you to estimate the heritability of metal tolerance in Step 2. Step 2: Estimate the heritability of metal tolerance. Plot the linear relationship between the mean metal tolerance of parents and the mean metal tolerance of their offspring. Use
the slope of this relationship to estimate heritability. This step will enable us to answer the question, “What is the heritability of metal tolerance in the population of sunstalks?”
Step 1: Interpreting heritability.
Because the genotype of an offspring depends on the alleles inherited from its parents, we can predict the genotype of an offspring from the genotypes of its parents. Then, we can use an expected genotype to infer the phenotype. Despite our ability to infer phenotype from genotype, the genotype of an organism only partially determines its phenotype. Environmental factors also affect the phenotype. For example, temperature and nutrients affect how an organism grows and develops, leading
to variation in a trait within a population of organisms. This variation resulting from the environment is not inherited with the alleles from parents. Only the genetic portion of phenotypic variation passes from parent to offspring through alleles. What is heritability?
Heritability is defined as the proportion of phenotypic variation in a population that stems
from additive effects of alleles. In other words, heritability is the proportion of phenotypic variation caused by genes, rather than the environment.
Heritability reflects the extent to which the phenotypes of parents determine the phenotypes of their offspring. Thus, heritability reflects a relationship between the phenotypes of parents and the phenotypes of offspring. We can use a linear function to describe this relationship, in which the independent variable is the mean phenotype of parents and the dependent variable is the mean (or expected) phenotype of an offspring.
Let’s consider an example. Imagine two traits, which we will call trait 1 and trait 2. Figure 1 shows the linear relationship between the mean parental phenotype and the mean offspring phenotype for each trait. Figure 1. This figure shows the linear relationship between the mean parental phenotype and the mean offspring phenotype for two unique traits, trait 1 and trait 2.
The y-axis is a continuous variable - the mean phenotype of offspring. The x-axis is a continuous variable - the mean phenotype of parents. The solid blue line is the linear
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model of the relationship between the mean phenotype of parents and the mean phenotype of offspring for trait 1. The solid red line is the linear model of the relationship between the mean phenotype of parents and the mean phenotype of offspring for trait 2. Directions: Use Figure 1 to answer questions 1-3. 1.
Which relationship has a steeper slope? a.
The relationship for trait 1 has a steeper slope than the relationship for trait 2.
b.
The relationship for trait 2 has a steeper slope than the relationship for trait 1.
2.
Which trait is more heritable? In other words, for which trait is the mean phenotype
of the parent more likely to influence the mean phenotype of the offspring? a.
Trait 1 is more heritable than trait 2.
b.
Trait 2 is more heritable than trait 1.
3.
Explain your answer to the previous question. -
Due to the fact that it is stated above where a linear function can describe the relationship between the phenotypes of parents and their offspring, hence, if a trait shows a steeper slope between the mean phenotype of offspring against their parents, it can be understood that said trait is more expressed and likely to be more influential than the other trait. Both traits described in Figure 1 have some degree of heritability. But how do we know which phenotype is more heritable? Recall that heritability reflects the relationship between the phenotypes of the parents and the phenotypes of their offspring. In essence, heritability indicates how much the phenotype of the offspring changes as the phenotype of the parent changes. We can quantify heritability by estimating the slope of the linear relationship between the mean phenotype of the parents and the mean phenotype of their offspring.
Because heritability (
h
) is a proportion, the heritability of any trait must lie between 0 and 1. In other words, no more than all (
h
= 1) and no less than none (
h
= 0) of the phenotypic variation can be caused by the alleles in a population. A heritability of 0 means that a trait
is not heritable; all of the variation in the trait results from environmental factors. Alternatively, a heritability of 1 means that a trait is completely heritable; all of the variation in the trait results from alleles. In reality, heritability usually falls somewhere in between these extremes. This linear relationships shown in Figure 1 can be described by the following model:
= aT + b
𝜇
where the independent variable T
equals the mean phenotype of the parents (e.g., mean degree of metal tolerance) and the dependent variable equals the mean phenotype of 𝜇
the offspring (e.g., mean degree of metal tolerance). The parameters a
and b
represent the slope and intercept, respectively, of the relationship between parental phenotypes and offspring phenotypes. The heritability of the trait equals the slope, a
. [
Note: This linear model is the same as the one commonly used in algebra courses, where y = ax + b,
except that we are using the symbols T and instead of x and y, respectively.
𝜇
]
Going back to Figure 1, the slope of the linear relationship for trait 1 is greater than the slope of the relationship for trait 2. Therefore, the heritability of trait 1 exceeds the heritability of trait 2. Importantly, the relationship for either trait has a slope less than 1, meaning that neither trait is completely heritable.
Step 2: Estimate the heritability of metal tolerance.
Now that we have a better understanding of heritability, we can use the data from our breeding experiment to determine the heritability of metal tolerance in the population of sunstalks. To do so, we must plot the relationship between the mean metal tolerance of parents and the mean metal tolerance of their offspring. Then we can estimate the slope of this relationship. Because the mean metal tolerance of parents and their offspring are both continuous variables, we must use a linear model to plot this relationship.
A linear model is an extension of a normal probability distribution, in which the mean of the dependent variable depends on the value of the independent variable. This linear model is the same as the one commonly used in algebra courses, where y = ax + b
, where y
is the value of the dependent variable, x
is the value of the independent variable, a
is the slope of the linear model, and b
is the intercept of the linear model. Rather than calculate the slope and intercept of the model by hand, Microsoft Excel has functions for estimating the slope and intercept of a linear model. To estimate the slope, use the slope
function: =slope(dependent observations, independent observations),
To estimate the intercept, use the
intercept
function: =intercept(dependent observations, independent observations),
For example, consider the five pairs of observations in the spreadsheet below:
Table 1. Values of two variables. Columns are represented with letters “A” and “B”, while rows are represented numerically with 1–5. The first column (column “A”) lists the values of the independent variable. The second column (column “B”) lists the values of the dependent variable. Each row represents a set of observations for the independent and dependent variables.
A
B
1
Independent variable
Dependent variable
2
5
25
3
3
64
4
7
24
5
4
57
6
6
35
For these data, you would calculate the slope and the intercept of the linear relationship by entering the following functions in Excel:
Slope =SLOPE(B2:B6, A2:A6)
Intercept =INTERCEPT(B2:B6, A2:A6)
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When specifying cells in the function, be sure to specify the columns for the variables in the correct order (dependent variable first, independent variable second). Also, be sure that the starting row and ending row of each variable spans all of the data. In this example, we would specify rows 2 through 6 because the data occur only in those rows. Let’s practice. Directions: Use the data in Table 1 to answer questions 4-5. Use Excel for calculations, modeling, and graphing. Round all calculated values to the nearest whole number. For example, if you calculate the value as 3.8218, round to 4.
4.
Estimate the slope of the linear relationship between the independent variable and the dependent in Table 1. -
-10
5.
Estimate the intercept of the linear relationship between the independent variable and the dependent in Table 1. -
92
If we round to the nearest whole number, we should obtain the following values for the slope and intercept of the linear relationship between the independent variable and the dependent variable in Table 1. Slope = -10
Intercept = 92
Now you’re ready to help me estimate the heritability of metal tolerance among sunstalks. Directions: For questions 6-7, download the Excel file, “Data: Heritability,” containing the parent phenotypes and offspring phenotypes for metal tolerance. Use Excel for calculations, modeling, and graphing. Note that the percentages have been converted to numbers between 0 and 100. Round all calculated values to the nearest hundredth of a decimal place. For example, if you calculate the value as 3.8218, round to 3.82.
Note: We have also provided links to Excel tutorials and transcripts below, to help you answer these questions.
●
#9 Saving Plots as Images
; #9 Saving Plots as Images transcript
●
#12 Making a Scatter Plot
; #12 Making a Scatter Plot transcript
6.
Create a plot of a linear relationship between parental phenotypes and offspring phenotypes for metal tolerance. This plot should follow the formatting guidelines listed below. Formatting Instructions
General
●
Chart type: X Y (Scatter)
●
Quick layout: Layout 1 - Scatter (you can delete the key/legend on the right and the chart title if preferred)
●
Y-axes title: “Metal tolerance of sunstalk offspring (%)”; Font size = 18
●
Y-axis numbers: Font size = 14
●
X-axis title: “Metal tolerance of sunstalk parents (%)”; Font size 18
●
X-axis numbers: Font size = 14
Y-axis
●
Bounds: minimum at 0, maximum at 100 X-axis
●
Bounds: minimum at 0, maximum at 100
Trendline (linear model)
●
Line: Solid line
7.
Estimate the heritability of metal tolerance in this population of sunstalks -
0.41
Appendix 2
Will the mean metal tolerance of sunstalks evolve rapidly enough
for the population of stalkleapers to persist?
Excellent work. Thanks to your efforts, we know the heritability of metal tolerance in the population of sunstalks. This information is critical for predicting how rapidly the population of sunstalks will adapt to their contaminated environment. Now, we can quantify how quickly the mean metal tolerance of sunstalks will evolve in the population. Evolution by natural selection requires three conditions: 1.
Phenotypes vary among organisms in a population, such that the value of a trait differs among some individuals,
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2.
Phenotypes within a population are heritable, such that the mean value of a trait for a set of offspring resembles the mean value of that trait for their parents, 3.
Phenotypes affect reproduction, such that organisms with certain values of a trait will produce more offspring than will organsims with other values of that trait. We can use a model that incorporates these three factors to predict how much a trait will evolve over time in a population. Here, we will use the following model to predict the rate
at which metal tolerance evolves:
Δx̅ = V
p
∙h∙β
where: Δx̅ = change in the mean of metal tolerance in the population during one generation (change in mean % of healthy tissue per generation) V
p
= phenotypic variance of metal tolerance (% of healthy tissue
2
) h
= heritability of metal tolerance (no units)
β
= selection gradient of metal tolerance (% of healthy tissue
-1
) This equation incorporates the three factors described above, each factor being represented by its own variable: 1.
phenotypic variance (
V
p
): how much metal tolerance varies among sunstalks that were replanted in the contaminated area of the sanctuary; 2.
heritability (
h
): how the metal tolerance of parents affects the metal tolerance of their offspring;
3.
selection gradient (
β
): how the degree of metal tolerance affects the fitness of a sunstalk.
An increase in any one of these variables will speed the evolution of metal tolerance in the population. The rate of evolution is captured in units of a change in the mean metal tolerance (% of healthy tissue) per generation. In Appendix 1 of this Mission Memo, you estimated the heritability of metal tolerance. Now I need your help to estimate the phenotypic variance and the selection gradient.
Fortunately, we can use the data from our experiment in the growhouse to estimate not only the heritability of metal tolerance but also the phenotypic variance and the selection
gradient.
Once we have all three variables, we can calculate the rate of evolution per generation and determine how many generations the population will require to evolve a certain degree of metal tolerance. We will follow three steps to answer the question “Will the mean metal tolerance of sunstalks evolve rapidly enough for the population to persist?”
Step 1: Estimate the phenotypic variance and the selection gradient for metal tolerance. Quantify how much metal tolerance varies among the sunstalks that we replanted in the contaminated area of the sanctuary. Additionally, quantify how a change in metal tolerance affects the fitness of sunstalks. This step will help us to estimate how much metal tolerance can evolve during each generation in Step 2.
Step 2: Estimate the change in metal tolerance in the sunstalk population in response to natural selection. Quantify the rate at which the mean metal tolerance in the population would evolve during a generation spent in contaminated soil. This step gives us the evidence needed to construct an argument in Step 3, when we will conclude whether the
mean metal tolerance of sunstalks will evolve rapidly enough for the population to persist. Step 3: Weigh the evidence and conclude if the mean metal tolerance of sunstalks will evolve rapidly enough for the population to persist. Construct an argument to answer the
question “Will the mean metal tolerance of sunstalks evolve rapidly enough for the population to persist?” Your argument should draw on your calculation in Step 2.
Step 1: Estimate the phenotypic variance and the selection
gradient.
The extent to which a trait varies in a population can be quantified as the phenotypic variance (
V
p
). Let’s look at an example. Figure 2 shows frequency distributions of measurements of the same phenotype in two distinct populations.
Figure 2. This figure shows frequency distributions of measurements of the same phenotype in two distinct populations, population 1 and population 2. In both plots the x-axis represents the measurement of the phenotype. There are 11 bins. The bins are in increments of 10, starting at 0 and ending at 100+. The y-axis is the frequency of (or number of) observations that fall into each of the bins designated on the x-axis. The phenotypes for population 1 ranges from 10 to 90, while the phenotypes for population 2 range from 30-70. Directions: Use Figure 2 to answer question 8.
8. Which population has a greater variance in the trait that was measured in Figure 2? a.
Population 1
b.
Population 2
As the variation in a trait increases among organisms, the phenotypic variance increases. Conversely, as the variation in a trait decreases among organisms, the phenotypic variance decreases. In Figure 2 the phenotype in population 1 ranges from a value of 10 to 90, while the phenotype in population 2 ranges from 30 to 70. Therefore, the value of the trait varies more in population 1 than it does in population 2.
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How do we quantify the phenotypic variance in a population? Fortunately, you are already familiar with the function used to calculate a variance, because it's related to the function for a standard deviation. In fact, a variance is the square of the standard deviation:
V
p
= σ
2
where: V
p
= variance of a continuous phenotypic variable
σ
= standard deviation of a continuous phenotypic variable
Therefore, we can calculate a phenotypic variance by calculating the standard deviation of the trait and squaring that value. With this information, we’re ready to estimate the phenotypic variance of metal tolerance in the population of sunstalks that we replanted in the contaminated area of the sanctuary. Directions: For questions 9-10 download the Excel file, “Data: Phenotypic Variance,” containing the metal tolerances of sunstalks (% of healthy tissue) that were replanted in the contaminated area of the sanctuary. Note that the percentages have been converted to numbers between 0 and 100; therefore, your answer should be expressed as a number instead of a percentage. Use Excel for calculations, modeling, and graphing. Round all calculated values to the nearest ones place. For example, if you calculate the value as 3.8218, round to 4.
9. Estimate the standard deviation of metal tolerance for the population of sunstalks that were replanted in the contaminated area of the sanctuary. Standard deviation = 9
10. Estimate the phenotypic variance (
V
p
) of metal tolerance for the population of sunstalks that were replanted in the contaminated area of the sanctuary. Use your rounded standard deviation from question 9 when calculating the variance. Phenotypic variance (
V
p
) = 81
Estimating the selection gradient on metal tolerance
To quantify the selection gradient, we must model a linear relationship between an organism's phenotype and its relative fitness. By relative fitness, we mean the fitness of an organism relative to the other organisms in the population. We cannot measure fitness
directly, but we can estimate fitness as the number of seeds produced by a sunstalk. The linear relationship between the phenotype and relative fitness is described by this function:
y = βx + c
where y
equals the dependent variable (relative fitness, measured as the relative number
of seeds), x
equals the independent variable (metal tolerance, measured as % of healthy tissue), β
equals the slope of the relationship (selection gradient), and c
equals a constant
called the intercept (the fitness of a sunstalk when the metal tolerance equals 0% of healthy tissue). Recall that the slope of a linear relationship is calculated as follows: Slope = (
y
2
- y
1
)/(
x
2
- x
1
) = Δ
y/
Δ
x where Δ represents the change in a variable, y
equals the dependent variable (relative fitness), and x
equals the independent variable (metal tolerance). The symbols x
1
and x
2
represent the value of x
at two points along the x
-axis. The symbols y
1
and y
2
represent the value of y
when x equals x
1
or x
2
, respectively. We call the slope a selection gradient, because the value of the slope equals the change in relative fitness caused by a change in the value of the trait. A steeper slope means that
a change in the phenotype has a larger positive or negative effect on the relative fitness of an organism (Figure 3a and Figure 3b). Conversely, the more shallow the slope, the closer the selection gradient is to a value of zero. A shallow slope means that a change in the phenotype has a small effect on the relative fitness of an organism (Figure 3c and Figure 3d). Finally, a selection gradient of zero means that a change in the phenotype has no effect on the relative fitness of an organism (Figure 3e).
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Figure 3. Panels A-E show five examples of hypothetical linear relationships between the phenotype of offspring and their fitness. In all panels, the y-axis is a continuous dependent variable - the fitness of offspring. The x-axis is a continuous independent variable - the phenotype of offspring. The solid grey line in each of the panels represents a hypothetical linear model of the relationship between the phenotype of offspring and their fitness. Panel A & B: The hypothetical linear models in panels A and B have steep positive or negative relationships between offspring phenotype and fitness, respectively. Panels C & D: The hypothetical linear models in panels C and D have shallow positive or negative relationships between offspring phenotype and fitness, respectively. Panel E: The hypothetical linear model in panel E has no slope, indicating that there is no relationship between offspring phenotype and fitness.
With this information, we’re ready to estimate the selection gradient of metal tolerance of
the sunstalk population. Directions: For questions 11-12, download the Excel file, “Data: Selection Gradient,” containing the values of metal tolerance and the number of seeds produced when sunstalks were grown in contaminated soil. Note that the percentages for metal tolerance have been converted to numbers between 0 and 100. You will need to convert the number of seeds into the relative number of seeds, by dividing all values by the maximal value in the sample. Use Excel for calculations, modeling, and graphing. Round
all calculated values to the nearest hundredth of a decimal place. For example, if you calculate the value as 3.8218, round to 3.82.
11. Create a plot of a linear relationship between the metal tolerance of the sunstalk offspring and the relative number of seeds. This plot should follow the formatting guidelines listed below. Formatting Instructions
General
●
Chart type: X Y (Scatter)
●
Quick layout: Layout 1 - Scatter (you may delete the key/legend on the right
and the chart title on the top)
●
Y-axes title: “Relative fitness”; Font size = 18
●
Y-axis numbers: Font size = 14
●
X-axis title: “Metal tolerance”; Font size 18
●
X-axis numbers: Font size = 14
Y-axis
●
Bounds: minimum at 0.00, maximum at 1.00
X-axis
●
Bounds: minimum at 0.00, maximum at 100.00
Trendline (linear model)
●
Line: Solid line
12. Estimate the selection gradient for metal tolerance.
Selection gradient = 0.02
Step 2: Estimate the change in metal tolerance in the sunstalk
population in response to natural selection.
Excellent work, yet again. Thanks to your efforts, we now know the phenotypic variance (
V
p
), the heritability (
h
), and the selection gradient (
β
). You're now ready to predict the rate
at which metal tolerance will evolve in the population of sunstalks that we replanted in the contaminated area. This rate will enable us to answer the question “Will metal tolerance evolve rapidly enough in the sunstalk population to ensure the stability of the population?”
Directions: For question 13, use your estimates of the heritability of metal tolerance (
h
), the phenotypic variance of metal tolerance of offspring that were replanted in the contaminated area (
V
p
), and the selection gradient of metal tolerance (
β
) to calculate how
much the mean metal tolerance of the replanted population will change over a single generation (
Δx̅
). Note that the percentages in all of the data used to estimate h
, V
p
, and β
were already converted to numbers between 0 and 100; therefore, your answer should be expressed as a number instead of a percentage. Use Excel for calculations. Round all calculated values to the nearest hundredth of a decimal place. For example, if you calculate the value as 3.8218%, round to 3.82%.
13. How much will the mean metal tolerance change over one generation? Express your answer in units of change in the mean metal tolerance per generation. A positive value indicates that the mean value of metal tolerance will increase by that amount during each generation. A negative value indicates that the mean value of metal tolerance will decrease by that amount during each generation. Change in the mean metal tolerance during one generation = 0.66
Step 3: Weigh the evidence and conclude whether metal tolerance
of sunstalks will evolve rapidly enough for the population of
stalkleapers to persist.
Because of your careful planning in Step 1 and your quantitative analyses in Step 2, you can now conclude how many generations will be required for the population of sunstalks to evolve complete tolerance of heavy metals. Recall that we are measuring metal tolerance in terms of the percentage of healthy tissue
when a sunstalk is grown in contaminated soil. Therefore, complete tolerance of heavy metals is defined by a sunstalk that has 100% healthy tissue when grown in contaminated
soil. The mean metal tolerance in the population of sunstalks will evolve by natural selection until it reaches the maximum of 100%. The question that remains is how many
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generations will this process take? If sunstalks were the only species of concern, we could wait as many generations as needed for the population to evolve complete metal tolerance. However, we must also think about the population of stalkleapers that depend on the sunstalks for protection. Based on my calculations, the sunstalks would need to evolve complete metal tolerance within 10 generations for the population of stalkleapers to survive. I estimated the mean metal tolerance of the sunstalks in the contaminated area of the sanctuary to be 81%. The
goal is to raise the mean metal tolerance in this population from 81% to 85%. Directions: For questions 14-15, use your calculations from Appendices 1 and 2 of this Mission Memo to decide whether natural selection will enable the population of sunstalks
to evolve complete metal tolerance—a mean phenotype of 85% healthy tissue—within 10 generations. Be sure to provide your reasoning, highlighting the relevant evidence supporting your claim. 14. Construct a claim that answers the question “Will the mean metal tolerance of sunstalks reach 85% within 10 generations?”
-
Yes, the mean metal tolerance of sunstalks will reach 85% within 10 generations.
15. Summarize the evidence that supports your claim, including how you determined whether the mean metal tolerance of sunstalks would evolve rapidly enough to reach 85% within 10 generations. Use quantitative evidence when possible. -
From the above data collected, the phenotypic variance is calculated to be 81%, and that the change in mean tolerance for one generation is 0.66. With these numbers, it can be concluded that after 10 generations, the change in mean tolerance should be around 0.66x10 which equals to 6.6. Hence, adding this number for change to the original phenotypic variance will exceed 85%, which is why the mean metal tolerance of sunstalks will reach 85% within 10 generations. Appendix 3
Is it possible to restore the ability of pod closure to the metal
tolerant sunstalks?
Fantastic work, explorer! Thanks to your efforts, we have selected and replanted a large sample of metal tolerant sunstalks in the Sarcannian habitat. If metal toxicity were the only problem, we would have likely ensured the future of the sunstalk population for generations to come. However, through artificial selection for metal tolerance, we inadvertently introduced a phenotype among the sunstalks that now threatens the survival of the stalkleapers, the primary pollinators of sunstalks. Specifically, an allele for a gene that affects metal tolerance is linked to an allele for a gene that affects the function of the azure pods. By selecting for greater metal tolerance, we also selected for a sunstalk that cannot close its pods.
We must restore the function of the azure pods to protect the stalkleapers. If the pods cannot close properly, the stalkleapers will be vulnerable to predation from predators such as razorwings. And if the population of stalkleapers declines, the sunstalks will ultimately suffer because no creatures will be left to pollinate its flowers. Therefore, all of our efforts to save the Sarcannian forest will have been in vain. With the help of GUS and IRMA, I analyzed the DNA of the sunstalks to discover the properties of the gene that affect the azure pods. This DNA differs from the type found on Earth. Let's quickly review the properties of your DNA on Earth before focusing on the
special properties of DNA from Sarcannus. Properties of DNA from Earth
On Earth, DNA is a molecule of deoxyribonucleic acid (hence, the abbreviation of DNA). This molecule consists of two interwoven chains, each chain consisting of four types of nucleotides: adenine, thymine, guanine, and cytosine. Each nucleotide consists of a phosphate group, a 5-carbon sugar ring, and a nitrogenous base. The phosphate-sugar complex covalently bonds with the phosphate-sugar complexes of adjacent nucleotides to form each strand of DNA. The nitrogenous bases of one strand form hydrogen bonds with the nitrogenous bases of the complementary strand, forming a double-stranded molecule. On Earth, the complementary bases in DNA are as follows: adenine (A) of one strand forms hydrogen bonds with thymine (T) of the complementary strand, and guanine
(G) of one strand forms hydrogen bonds with cytosine (C) of the complementary strand. In
other words, the pairing is A-T and G-C. Figure 4 illustrates the structure of DNA on Earth.
Figure 4. This figure shows the structure of a strand of DNA (deoxyribonucleic acid) on Earth, including base-pairing between the nucleotides. This molecule consists of two interwoven chains, each chain consisting of four types of nucleotides: adenine (A), thymine (T), guanine (G), and cytosine (C). Each nucleotide consists of a phosphate group, a 5-carbon sugar ring, and a nitrogenous base. The phosphate-sugar complex covalently bonds with the phosphate-sugar complexes of adjacent nucleotides to form each strand of DNA. The nitrogenous bases of one strand form hydrogen bonds with the nitrogenous bases
of the complementary strand, forming a double-stranded molecule. The complementary bases in DNA are as follows: adenine (A) of one strand forms hydrogen
bonds with thymine (T) of the complementary strand, and guanine (G) of one strand forms hydrogen bonds with cytosine (C) of the complementary strand. Properties of DNA from Sarcannus
Organisms on Sarcannus have DNA, but the nucleotides in this DNA contain different nitrogenous bases. A molecule of DNA from Sarcannus comprises the following bases: narithov (N), ornithov (O), panithov (P) and zylathov (Z). These bases form hydrogen bonds similar to those that connect complementary strands of DNA on Earth. Specifically,
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narithov (N) forms hydrogen bonds with ornithov (O), whereas panithov (P) forms hydrogen bonds with zylathov (Z). Thanks to data collected by GUS and IRMA, we know that the gene that affects the function of the azure pods has three alleles, P
1
, P
2
, and P
3
. Each allele differs from the others by just a few nucleotides. But these differences are sufficient to affect the phenotype. The three alleles and key sections of their DNA are shown below.
Notice that each of these alleles differs from the other alleles by only one nucleotide. When reading the nucleotides from left to right, allele P
1
and allele P
2
have a different nucleotide in the 11th position. Likewise, allele P
1
and P
2
P
3
have a different nucleotide in the 17th position as compared to allele P
3
. The relevant nucleotides have been bolded. Allele 1 (P
1
):
N
N
P
Z
N
O
O
O
P
P
N
N
N
N
P
Z
Z
O
Z
P
Z
N
N
O
P
N
Z
Z
O
O
O
O
Z
P
O
N
N
N
Z
Z
O
O
O
O
Z
P
P
N
P
Z
P
O
O
N
Z
O
P
P
N
N
Allele 2 (P
2
):
N
N
P
Z
N
O
O
O
P
P
P
N
N
N
P
Z
Z
O
Z
P
Z
N
N
O
P
N
Z
Z
O
O
O
O
Z
P
O
N
N
N
Z
Z
Z
O
O
O
Z
P
P
N
P
Z
P
O
O
N
Z
O
P
P
N
N
Allele 3 (P
3
):
N
N
P
Z
N
O
O
O
P
P
N
N
N
N
P
Z
Z
Z
P
Z
N
N
O
P
N
Z
Z
O
O
O
O
Z
P
O
N
N
N
Z
Z
O
O
O
O
Z
P
P
P
Z
P
O
O
N
Z
O
P
P
N
N
Of the three alleles for this gene, two alleles (P
1
and P
2
) code for a functional protein that binds a chemical released by stalkleapers, triggering an azure pod to close. The third allele (P
3
) fails to produce a functional protein. Unfortunately, the P
3
allele is linked to an allele for another gene that increases metal tolerance. As natural selection increases the frequency of metal tolerance in the population, it will also increase the frequency of the P
3
allele in the population. We cannot let this happen.
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We can use tools for gene editing to restore the function of azure pods. By editing the DNA of a sunstalk, we can convert the pod closure gene from one allele to another one. On Earth, we use a molecular tool known as CRISPR-Cas9 to edit genes. CRISPR is an abbreviation for “Clustered Regularly Interspaced Short Palindromic Repeats”, and Cas9 refers to the “CRISPR-associated protein 9”. Much easier to say "CRISPR-Cas9", isn't it?
CRISPR-Cas9 was discovered in bacteria on Earth, which use this molecular system to detect and attack the DNA of viruses. Scientists have used CRISPR-Cas9 to develop a fast and effective tool for editing genes in living organisms. The molecular complex that forms CRISPR-Cas9 includes an RNA strand and a protein that acts as an enzyme. The RNA guides the complex to a specific region of DNA, by recognizing a complementary sequence of nucleotides. When this guide RNA binds to DNA, the Cas9 enzyme cuts the double stranded DNA at specific locations, enabling this segment of DNA to be removed from the chromosome. The cell then uses its own molecules to repair the DNA. If left to chance, the cell will repair the DNA with a random sequence of nucleotides. However, by
including a piece of DNA with the CRISPR-Cas9, we can ensure that the cell replaces the excised DNA with a specific sequence of nucleotides. In this way, scientists can edit any gene to convert one allele into another allele. Using CRISPR-Cas9, we plan to edit the gene for pod closure, inserting an allele that enables the azure pods to fully close. However, I need your help in determining the best allele to insert into the sunstalk pod closure gene. We’ll follow two steps to determine the
best allele to insert into the sunstalk genome.
Step 1: Determine which allele would restore the function of azure pods. Analyze the genotypes and phenotypes associated with the pod closure gene in sunstalks. With this information, you will be able to determine which of the three pod closure alleles would restore the function of azure pods in Step 2. Step 2: Determine which allele(s) should be added or removed from the sunstalk population. Using the results of your analysis in Step 1, recommend which allele(s) should
be removed or inserted into the sunstalk population that was replanted in the contaminated area of the sanctuary.
Step 1: Determine which allele would restore the function of azure
pods.
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As with most animals on Earth, the sunstalks of Sarcannus are diploid. Each cell of a diploid organism contains two copies of each gene, one copy from each parent. Therefore, a sunstalk will have two copies of the gene that affects the azure pods, each of which could be a unique allele. We must consider how each allele combines with other
alleles to affect the phenotype of a sunstalk. This information will enable us to decide how we should edit the gene to restore the function of the azure pods. Our goal is to identify which allele enables the azure pod to close properly. We'd prefer that this allele were dominant to other alleles, such that only one copy is needed to ensure that the azure pods will function properly.
To assist in our analysis, GUS and IRMA have determined the phenotype associated with each genotype for the trait pod closure. Here is what they found: Genotype(s)
Phenotype
P
1
P
1
, P
1
P
2
, P
2
P
2
, and P
1
P
3
Pod fully closes
P
2
P
3
Pod partially closes
P
3
P
3
Pod does not close
Using this information, I need you to determine the nature of the relationship between each allele for the pod closure gene. Directions: Use the information provided by GUS and IRMA to answer questions 16-21. 16. The P
1
allele is ____ to the P
2
allele. a.
dominant
b.
recessive
c.
incompletely dominant
d.
neither allele is dominant or recessive to the other 17. Explain how the information that GUS and IRMA provided supports your answer to the previous question.
-
As stated above, with presence of the P1 allele, the pod will close, and without it, the pod only partially closes at best. Although both P1P2 and P2P2 alleles also close the pod, yet, if the P2 allele were to be paired with a P3 allele, it will only
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partially close, hence it can be seen that the P2 allele is not dominant towards the P3 allele. Since the P1 allele is dominant against the P3 allele, as the P1P3 allele will close the pod in comparison, it can be concluded that the P1 allele is also doiminant towards the P2 allele. 18. The P
1
allele is ____ to the P
3
allele. a.
dominant
b.
recessive
c.
incompletely dominant
d.
neither allele is dominant or recessive to the other
19. Explain how the information that GUS and IRMA provided supports your answer to the previous question.
-
The point of difference is when P1P3 allele is present, the pod fully closes, however with the P2P3 variant does not fully close. Hence, it can be concluded that P1 is the dominant allele. 20. The P
2
allele is ____ to the P
3
allele. a.
dominant
b.
recessive
c.
incompletely dominant
d.
neither allele is dominant or recessive to the other
21. Explain how the information that GUS and IRMA provided supports your answer to the previous question.
-
As shown above, P2P2 allele will result in a full pod closure, while a P2P3 allele results in a partial closure. This means that the P3 allele is affecting the P2 allele is
some way. If P2 was dominant against the P3 allele, the P2P3 allele should fully close. Yet, it only partially closes, and if the P2 allele was recessive to the P3 allele, the P2P3 allele should not close at all as a P3P3 allele does not close at all. hence it can be inferred that the P2 allele is incompletely dominant against the P3 allele.
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Step 2: Determine which allele(s) should be added or removed
from the sunstalk population.
Recall that the goal is to use CRISPR-Cas9 to edit the gene for pod closure in the surviving sunstalk population, inserting - ideally - a single allele that enables the azure pods to fully close. This allele would ideally be dominant to other alleles, such that only one copy is needed to ensure that the azure pods will function properly.
Also recall that of the three alleles for this gene, two alleles (P
1
and P
2
) code for a functional protein that binds a chemical released by stalkleapers, triggering an azure pod
to close. The third allele (P
3
) fails to produce a functional protein. Unfortunately, the P
3
allele is linked to an allele for another gene that increases metal tolerance. As natural selection increases the frequency of metal tolerance in the population, it will also increase the frequency of the P
3
allele in the population. To prevent this, we must remove
the P
3
allele as well as any other allele(s) that would allow for the emergence of either partial or no pod closure for sunstalks. Ultimately, we would ideally want all the sunstalks pods to close after this intervention. Using your answers to Step 1 of this appendix, please recommend which of the two remaining alleles - P
1
or P
2
- we should remove from the population as well as which of the two remaining alleles we should insert into the population. Directions: Use your answers to questions 16-21 to answer questions 22-25. 22. Which allele - P
1
or P
2
- should be removed from the sunstalk population? a.
P
1
should be removed
b.
P
2
should be removed
23. Explain how the information that GUS and IRMA provided supports the claim you made in the previous question.
-
As determined above, the P1 allele is dominant over both the P2 allele and P3 allele, whereas the P2 allele is incompletely dominant against the P3 allele, which causes only a partial closure. Hence the P2 allele should be removed in order for the P1 allele to be more prevalent and produce offspring that can fully close no matter if it is paired with a P2 or P3 allele.
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24. Which allele - P
1
or P
2
- should be added to the sunstalk population? a.
P
1
should be added
b.
P
2
should be added
25. Explain how the information that GUS and IRMA provided supports the claim you made in the previous question.
-
As determined above, the P1 allele is dominant over both the P2 and P3 allele, hence it should be added in order to produce offspring with the phenotype that can fully close the pod, as both P1P2 alleles and P1P3 alles can fully close.
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