CHAPTER 23 THE EVOLUTIONS OF POPULATIONS

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CHAPTER 23 THE EVOLUTIONS OF POPULATIONS Section B: Causes of Microevolution 1. Microevolution is generation-to-generation change in a population’s allele frequencies 2. The two main causes of microevolution are genetic drift and natural selection Copyright © 2002 Pearson Education, Inc., publishing as Benjamin Cummings

1. Microevolution is a generation-to-generation change in a population’s allele frequencies The Hardy-Weinberg theory provides a baseline against which we can compare the allele and genotype frequencies of an evolving population. We can define microevolution as generation-to- generation change in a population’s frequencies of alleles. Microevolution occurs even if the frequencies of alleles are changing for only a single genetic locus in a population while the others are at equilibrium. Copyright © 2002 Pearson Education, Inc., publishing as Benjamin Cummings

2. The two main causes of microevolution are drift and natural selection Four factors can alter the allele frequencies in a population: genetic drift natural selection gene flow mutation All represent departures from the conditions required for the Hardy-Weinberg equilibrium. Copyright © 2002 Pearson Education, Inc., publishing as Benjamin Cummings

Natural selection is the only factor that generally adapts a population to its environment. Selection always favors the disporportionate propagation of favorable traits. The other three may effect populations in positive, negative, or neutral ways. Copyright © 2002 Pearson Education, Inc., publishing as Benjamin Cummings

Genetic drift occurs when changes in gene frequencies from one generation to another occur because of chance events (sampling errors) that occur when populations are finite in size. For example, one would not be too surprised if a coin produced seven heads and three tails in ten tosses, but you would be surprised if you saw 700 heads and 300 tails in 1000 tosses - you expect 500 of each. The smaller the sample, the greater the chance of deviation from an idealized result. Genetic drift at small population sizes often occurs as a result of two situations: the bottleneck effect or the founder effect. Copyright © 2002 Pearson Education, Inc., publishing as Benjamin Cummings

Applied to a population’s gene pool, we expect that the gene pool of the next generation will be the same as the present generation in the absence of sampling errors. This requirement of the Hardy-Weinberg equilibrium is more likely to be met if the size of the population is large (theoretically, infinite). The gene pool of a small population may not be accurately represented in the next generation because of sampling errors. This is analogous to the erratic outcome from a small sample of coin tosses. Copyright © 2002 Pearson Education, Inc., publishing as Benjamin Cummings

For example, in a small wildflower population with a stable size of only ten plants, genetic drift can completely eliminate some alleles. Fig. 23.4 Copyright © 2002 Pearson Education, Inc., publishing as Benjamin Cummings

The bottleneck effect occurs when the numbers of individuals in a larger population are drastically reduced by a disaster. By chance, some alleles may be overrepresented and others underrepresented among the survivors. Some alleles may be eliminated altogether. Genetic drift will continue to impact the gene pool until the population is large enough to minimize the impact of sampling errors. Fig. 23.5 Copyright © 2002 Pearson Education, Inc., publishing as Benjamin Cummings

Bottlenecking is an important concept in conservation biology of endangered species. Populations that have suffered bottleneck incidents have lost at least some alleles from the gene pool. This reduces individual variation and adaptability. For example, the genetic variation in the three small surviving wild populations of cheetahs is very low when compared to other mammals. Their genetic variation is similar to highly inbred lab mice! Fig. 23.5x Copyright © 2002 Pearson Education, Inc., publishing as Benjamin Cummings

The founder effect occurs when a new population is started by only a few individuals that do not represent the gene pool of the larger source population. At an extreme, a population could be started by single pregnant female or single seed with only a tiny fraction of the genetic variation of the source population. Genetic drift would continue from generation to generation until the population grew large enough for sampling errors to be minimal. Founder effects have been demonstrated in human populations that started from a small group of colonists. Copyright © 2002 Pearson Education, Inc., publishing as Benjamin Cummings

Natural selection is clearly a violation of the conditions necessary for the Hardy-Weinberg equilibrium. The later expects that all individuals in a population have equal ability to survive and produce viable, fertile offspring. However, in a population with variable individuals, natural selection will lead some individuals to leave more offspring than others. Selection results in some alleles being passed along to the next generation in numbers disproportionate to their frequencies in the present generation. Copyright © 2002 Pearson Education, Inc., publishing as Benjamin Cummings

In our wildflower example, if herbivorous insects are more likely to locate and eat white flowers than red flowers, then plants with red flowers (either RR or Rr) are more likely to leave offspring than those with white flowers (rr). If pollinators were more attracted by red flowers than white flowers, red flowers would also be more likely to leave more offspring. Either mechanism, differential survival or differential reproduction, will increase the frequency of the R allele in the population and decrease that of the r allele. Natural selection accumulates and maintains favorable genotypes in a population. Copyright © 2002 Pearson Education, Inc., publishing as Benjamin Cummings

Gene flow tends to reduce differences between populations. Gene flow is genetic exchange due to migration of fertile individuals or gametes between populations. For example, if a nearby wildflower population consisted entirely of white flowers, its pollen (r alleles only) could be carried into our target population. This would increase the frequency of r alleles in the target population in the next generation. Gene flow tends to reduce differences between populations. If extensive enough, gene flow can amalgamate neighboring populations into a single population with a common genetic structure. Copyright © 2002 Pearson Education, Inc., publishing as Benjamin Cummings

Gene flow tends to reduce differences between populations. If extensive enough, gene flow can amalgamate neighboring populations into a single population with a common genetic structure. The migration of people throughout the world is transferring alleles between populations that were once isolated, increasing gene flow. Copyright © 2002 Pearson Education, Inc., publishing as Benjamin Cummings

A mutation is a change in an organism’s DNA. A new mutation that is transmitted in gametes can immediately change the gene pool of a population by substituting the mutated allele for the older allele. For any single locus, mutation alone does not have much quantitative effect on a large population in a single generation. An individual mutant allele may have greater impacts later through increases in its relative frequencies as a result of natural selection or genetic drift. Copyright © 2002 Pearson Education, Inc., publishing as Benjamin Cummings

While mutations at an individual locus is a rare event, the cumulative impact of mutations at all loci can be significant. Each individuals has thousands of genes, any one of which could experience a mutation. Populations are composed of thousands or millions of individuals that may have experienced mutations. Over the long term, mutation is a very important to evolution because it is the original source of genetic variation that serves as the raw material for natural selection. Copyright © 2002 Pearson Education, Inc., publishing as Benjamin Cummings