Exercise 1: Genetic Drift In the top right corner click on “Choose File” to Upload a Model. Find the Genetic Drift.nlogo where you saved it and upload it to NetLogo. Click on the “Model Info” tab at the bottom of the page to access important information about the simulation and answer the following questions:
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Think Ahead: Genetic Drift Simulation This model is an example of genetic drift. It shows that competing breeds of turtles (or agents), each reproducing with equal likelihood on each turn, will ultimately converge on one breed without any selection pressure forcing this convergence. The idea is that trait drifts can occur without any particular purpose or 'selecting pressure'. The "setup" button initializes the model. The "go" button runs the model. Use the "colors" slider to select the number of competing colors. The "number" slider sets the initial number of turtles. 1. Set the initial number of colors to "2", and set the initial number of turtles to "100". What do you observe? How many generations did it take for one color to go extinct? 2. Run the model under the same conditions 5 times. Record your results below: Surviving color: Time to fixation: 3. Is there any evidence to assume that one color is less "fit" than another? Did one color go to fixation more frequently than another? Enter here 4. Now, adjust the model to have 10 colors, with a beginning population of 200. What trends do you notice as you run the model? How many colors survived to 50 generations? 100? 200? Enter here
Madhur L.
Experiment Genetic Drift Experiment Inventory Beads in Beaker #1 (from Experiment 1) Beads in Beaker #2 (from Experiment 1) EXPERIMENT 2: GENETIC DRIFT Genetic drift, the variation in the gene pool and/or gene frequency of a population, can result from a variety of stochastic (random) events. Consider the following population of butterflies that had half of its habitat destroyed by wildfire (Figure 5): FIRE Figure 5: Butterfly populations before and after wildfire. The remaining population has 50% of the initial gene pool (two colors), and the gene frequency is different. As these individuals reproduce, their offspring will no longer reflect the original population. PROCEDURE 1. Randomly remove half of the beads from Beakers #1 and #2. This is representative of a destructive stochastic event, such as a wildfire. Keep the beads separated so they can be returned to their proper beaker. You will need them for the next experiment. 2. Use the remaining beads in each beaker to answer the post-lab questions. Then, place all of the beads back in their respective beakers. 3. Repeat this process four more times (five total). 4. Answer the post-lab questions.
Adi S.
EXPERIMENT 2: GENETIC DRIFT Genetic drift, the variation in the gene pool and/or gene frequency of a population, can result from a variety of stochastic (random) events. Consider the following population of butterflies that had half of its habitat destroyed by wildfire (Figure 5): FIRE Figure 5: Butterfly populations before and after wildfire. The remaining population has 50% of the initial gene pool (two colors), and the gene frequency is different. As these individuals reproduce, their offspring will no longer reflect the original population. PROCEDURE 1. Randomly remove half of the beads from Beakers #1 and #2. This is representative of a destructive stochastic event, such as a wildfire. Keep the beads separated so they can be returned to their proper beaker. You will need them for the next experiment. 2. Use the remaining beads in each beaker to answer the post-lab questions. Then, place all of the beads back in their respective beakers. 3. Repeat this process four more times (five total). Answer the post-lab questions.
Suman K.
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