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TAMU GENE 412 - Genetic Drift
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GENE 412 1st Edition Lecture 11 Outline of Last Lecture I Disassortative Mating Selection II Examples III Adding Mixtures of two species into one population Outline of Current Lecture I Genetic Drif II Genetic Drif Within and among a population III Founder Effects Current Lecture I II Genetic Drif a Chance events control populations i Dr Johnston is fascinated by this b Characteristics i There is no direction therefore predictions about where a population is headed cannot be made ii Changes in a population accumulate overtime iii Has endpoint at p 1 or p 0 iv Amount of change related to population size v Species as a whole not population still follow binomial distribution c Equilibrium can be predicted by binomial rule i N X N X px 1 p N x ii Genetic Drif changes these predictions iii Leaving this equilibrium eventually causes a population to become fixed loose variation d Equations for Variance of p i P pq 2N Genetic Drif Within and among a population a Within a population i p is either 1 or 0 ii Variation is lost iii Increased Homozygosity by descent inbreeding iv Change accumulates These notes represent a detailed interpretation of the professor s lecture GradeBuddy is best used as a supplement to your own notes not as a substitute III b Among populations Species i Expp p ii Variation is maximized iii Identity by descent increases Founder Effects a Population Bottlenecks i New Frequencies ii Loose variation iii Increase F inbreeding coefficient b Definition of how we measure Genetic Drif i Does population actually drif at pq 2N 1 Ideally yes ii Ideal assumptions 1 Constant size 2 Same number of males and females Sex Ratio 3 Number of offspring per female Poisson Distribution 4 Mean of population Variance of population


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TAMU GENE 412 - Genetic Drift

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