Monday, November 16, 2015

Coin Sex Lab

In this lab, we flipped coins to simulate the randomness of alleles crossing over and recombination in sex. The coins represented the two copies of a gene, and flipping them simulated the randomness of which gene the gamete would get in meiosis, also known as the law of independent assortment. The results we got for simulating getting a male or female were the same as the expected result, 1/2 probability either way, because the females are homozygous, and don't get to determine the gender, while males are heterozygous, so they determine the gender with the one Y chromosome they have which has a 50% chance of being inherited. We then we simulated a monohybrid cross where we tested the probability of inheritance for an autosomal gene that causes bipolar disorder. Bipolar disorder is caused by a dominant gene, and we crossed a homozygous recessive person with a heterozygous person. We predicted that 50% of the children would have bipolar disorder, but we were wrong when our simulation resulted in 8 normal children and 2 children with bipolar disorder. This shows that the probability of getting a trait is not the same as the ratio of people with the trait, because getting a certain allele is completely random, so it doesn't necessarily follow the probability. The third trait that we tested was colorblindness, an X-linked recessive trait. Males are more likely to inherit X-linked traits because they only have one X chromosome. We crossed a heterozygous female and a male with normal vision. We predicted that 25% of the children will be colorblind males. We found that 3 out of 10 were colorblind males, which is about 25%. Our final cross was a dihybrid cross where we tested hair and eye color. We predicted that there was a 1 out of 16 chance of getting a double homozygous child from 2 double heterozygous parents. Our prediction was correct, and we got that result. All these crosses show how you can predict the probability of having a certain child, but you can't predict what the child will be.

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