MBG 2400 Study Guide - Final Guide: Effective Population Size, Inbreeding Depression, Zygosity

• School: University of Guelph
• Department: Molecular Biology and Genetics
• Course: MBG 2400
• Professor: Andrew Robinson

Document Summary

Now shifting from an entire population to focusing on groups sampled from a population. Random sampling: do not get the same result each time. Smaller sample = more variety expected as the n the confidence range shrinks. Suppose f(r) = p = 0. 5 and f(r) = q = 0. 5 then f(rr) = 0. 25 = 15 red animals f(rr) = 0. 5 = 30 roam animals f(0. 25) = 15 white animals. = 1 p = f(r) = 0. 5, q = f(r)= 0. 5. N = # of animals, n = # of alleles (2n) Whe(cid:374) (cid:374) = (cid:1008), (cid:1010)(cid:1012)% of p"s a(cid:396)e i(cid:374) (cid:271)et(cid:449)ee(cid:374) (cid:1004). (cid:1006)(cid:1009) a(cid:374)d (cid:1004). (cid:1011)(cid:1009) . *the binomial dist. becomes approx normal as n goes up. Example: when choosing 2 animal and 4 alleles, we can only get these possible combinations: By taking small samples: p2 went from 0. 25 to 0. 3125. If heterozygosity f(aa) went from 0. 25 to 0. 3125. Homozygosity went up by 0. 3125-0. 25 = 0. 0625 or 6%