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Chapter 16 The Evolution II PowerPoint TextEdit Art Slides for Biology, Seventh Edition Neil Campbell and Jane Reece Copyright © 2005 Pearson Education, Inc. publishing as Benjamin Cummings Figure 23.1 Variation in a natural population Copyright © 2005 Pearson Education, Inc. publishing as Benjamin Cummings Figure 23.2 Individuals are selected; populations evolve Copyright © 2005 Pearson Education, Inc. publishing as Benjamin Cummings Populations as the Units of Evolution • A population – Is a group of individuals of the same species living in the same area at the same time – Is the smallest biological unit that can evolve Figure 13.16 Copyright © 2005 Pearson Education, Inc. publishing as Benjamin Cummings Figure 23.3 One species, two populations MAP AREA • Fairbanks Fortymile herd range • Whitehorse Copyright © 2005 Pearson Education, Inc. publishing as Benjamin Cummings Analyzing Gene Pools • The gene pool – Consists of all alleles of all individuals making up a population – Occur in certain frequencies (allele frequencies) Copyright © 2005 Pearson Education, Inc. publishing as Benjamin Cummings • The Hardy-Weinberg formula – Is a mathematical representation of a gene pool – Determines the allele frequency in a population Copyright © 2005 Pearson Education, Inc. publishing as Benjamin Cummings Microevolution as Change in a Gene Pool • Hardy-Weinberg equilibrium – Describes a nonevolving population that is in genetic equilibrium – Can be used to determine whether a population is evolving Copyright © 2005 Pearson Education, Inc. publishing as Benjamin Cummings Microevolution as Change in a Gene Pool • A population MUST meet these conditions in order for it to NOT evolve – Very large population size – No immigration or emigration – Random mating – No mutations – No natural selection Copyright © 2005 Pearson Education, Inc. publishing as Benjamin Cummings MECHANISMS OF MICROEVOLUTION • Any deviation from these conditions will cause microevolution to occur • So these are the causes of microevolution – Genetic drift – Gene flow – Nonrandom mating – Mutations – Natural selection Copyright © 2005 Pearson Education, Inc. publishing as Benjamin Cummings Only 5 of 10 plants leave offspring Generation 1 p (frequency of R) = 0.7 q (frequency of r) = 0.3 Only 2 of 10 plants leave offspring Generation 2 p = 0.5 q = 0.5 Generation 3 p = 1.0 q = 0.0 Figure 13.20 Copyright © 2005 Pearson Education, Inc. publishing as Benjamin Cummings The Bottleneck Effect • The bottleneck effect – Is an example of genetic drift – Results from a drastic reduction in population size Original population Bottlenecking event Copyright © 2005 Pearson Education, Inc. publishing as Benjamin Cummings Surviving population Figure 13.21 The Founder Effect • The founder effect – Is genetic drift in a new colony Copyright © 2005 Pearson Education, Inc. publishing as Benjamin Cummings Genetic Drift and Hereditary Disorders in Human Populations • The founder effect – Explains the relatively high frequency of certain inherited disorders among some populations Figure 13.23 Copyright © 2005 Pearson Education, Inc. publishing as Benjamin Cummings Gene Flow • Gene flow – Is genetic exchange with another population – Tends to reduce genetic differences between populations Figure 13.24 Copyright © 2005 Pearson Education, Inc. publishing as Benjamin Cummings Nonrandom Mating • Choosing a mate means that not every individual will pass on their traits to the next generation • Only certain genes are passed along to the offspring Figure 13.24 Copyright © 2005 Pearson Education, Inc. publishing as Benjamin Cummings Mutations • Mutations – Are changes in an organism’s DNA – Alone do not have much effect on a large population – Can have significant cumulative effects on a population Copyright © 2005 Pearson Education, Inc. publishing as Benjamin Cummings Animal behavior can also be affected by evolution Copyright © 2005 Pearson Education, Inc. publishing as Benjamin Cummings