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Alan R. Templeton, PhD, is Charles Rebstock Professor Emeritus of Biology and Statistical Genomics at Washington University in St. Louis. His research focus is on the application of molecular genetic techniques and statistical population genetics to a variety of basic and applied evolutionary problems. He is on the editorial boards of Molecular Phylogenetics and Evolution and Evolutionary Bioinformatics Online.
Preface to the 2nd Edition ix
Chapter 1. The Scope and Basic Premises of Population Genetics 1-1
Basic Premises of Population Genetics 1-1
Population Genomics1-12
Section 1: Population Structure and History
Chapter 2. Modeling Evolution and the Hardy-Weinberg Law 2-1
How to Model Microevolution 2-1
The Hardy-Weinberg Model 2-4
Hardy-Weinberg for Two Loci2-19
Chapter 3. Systems of Mating 3-1
Inbreeding 3-1
Assortative Mating3-25
Disassortative Mating3-45
Chapter 4. Genetic Drift 4-1
Basic Evolutionary Properties of Genetic Drift 4-2
Founder and Bottleneck Effects 4-7
Genetic Drift and Disequilibrium4-11
Genetic Drfit, Disequilibrium, and System of Mating4-13
Effective Population Size4-18
Chapter 5. Genetic Drift in Large Populations and Coalescence 5-1
Newly Arisen Mutations 5-1
Neutral Alleles 5-3
The Coalescent5-22
Chapter 6. Gene Flow and Population Subdivision 6-1
Gene Flow Between Two Local Populations 6-1
The Balance of Gene Flow and Drift 6-6
An Example of the Balance of Drift and Gene Flow6-27
Factors Influencing The Amount and Patter of Gene Flow6-42
Total Effective Population Size in Subdivided Populations6-62
Multiple Modes of Inheritance and Population Structure6-71
Admixture6-76
Identifying Subpopulations and Population Structure6-81
A Final Warning6-96
Chapter 7. Population History 7-1
Inferring Historical Effective Population Sizes 7-6
Inferring Historical Gene Flow Patterns and Admixture 7-11
Using Haplotype Trees to Study Population History 7-19
Model Based Approaches to Phylogeographic Analysis 7-56
Direct Studies Over Space and Past Times 7-70
Historical Population Genetics and Macroevolution 7-75
Section 2: Genotype and Phenotype
Chapter 8. Basic Quantitative Genetic Definitions and Theory 8-1
"Simple" Mendelian Phenotypes 8-2
Nature Versus Nurture? 8-7
The Fisherian Model of Quantitative Genetics8-13
Chapter 9. Quantitative Genetics: Unmeasured Genotypes 9-1
Correlation Between Relatives 9-2
The Distinction Between Heritability and Inheritance9-17
Response to Selection9-19
The Problem of Between-Population Differences in Mean
Phenotype 9-21
Controlled Crosses for the Analysis of Between Population
Differences 9-30
The Balance Between Mutation, Drift, and Gene Flow Upon
Phenotypic Variance 9-36
Chapter 10. Quantitative Genetics: Measured Genotypes 10-1
Marker Association Studies 10-5
Candidate Loci10-35
Candidate Loci and Genetic Architecture10-51
Section 3: Natural Selection and Adaptation
Chapter 11. Natural Selection 11-1
The Fundamental Equation of Natural Selection: Measured
Genotypes 11-4
Sickle-Cell Anemia as an Example of Natural Selection 11-10
Adaptation as a Polygenic Process 11-24
The Fundamental Theorem of Natural Selection: Unmeasured
Genotypes 11-29
Some Implications of the Fundamental Equations of Natural
Selection 11-33
The Course of Adaptation and Natural Selection 11-47
Chapter 12. Interactions of Natural Selection with Other Evolutionary Forces
and the Detection of Natural Selection 12-1
The Interaction of Natural Selection with Mutation 12-3
The Interaction of Natural Selection with Mutation and System of
Mating 12-8
The Interaction of Natural Selection with Gene Flow 12-12
The Interaction of Natural Selection with Genetic Drift 12-21
The Interactions of Natural Selection, Genetic Drift, and
Gene Flow 12-28
The Interactions of Natural Selection, Genetic Drift, and Mutation 12-45
The Interactions of Natural Selection, Genetic Drift, Mutation, and
Recombination 12-65
Candidate Loci 12-71
Quantitative Genetic Approaches to Detecting Selection 12-75
The Neutralist/Selectionist Debate 12-80
Chapter 13. Units and Targets of Selection 13-1
The Unit of Selection 13-4
Targets of Selection Below the Level of the Individual 13-18
Targets of Selection Above the Level of the Individual 13-51
Chapter 14. Selection in Heterogeneous Environments 14-1
Coarse-Grained Spatial Heterogeneity 14-4
Coarse-Grained Temporal Heterogeneity 14-34
Fine-Grained Heterogeneity 14-56
Coevolution 14-74
Chapter 15. Selection in Age-Structured Populations 15-1
Life History and Fitness 15-3
The Evolution of Senescence 15-13
Abnormal Abdomen: An Example of Selection in an
Age-Structured Population 15-24
Overview 15-63
Appendices
Appendix 1. Genetic Survey Techniques A1-1
Appendix 2. Probability and Statistics A2-1
References R-1
Population genetics is concerned with the origin, amount, and distribution of genetic variation present in populations of organisms and the fate of this variation through space and time. The kinds of populations that will be the primary focus of this book are populations of sexually reproducing diploid organisms, and the fate of genetic variation in such populations will be examined at or below the species level. Variation in genes through space and time constitutes the fundamental basis of evolutionary change; indeed, in its most basic sense, evolution is the genetic transformation of reproducing populations over space and time. Population genetics is, therefore, at the very heart of evolutionary biology and can be thought of as the science of the mechanisms responsible for microevolution, evolution within species. Many of these mechanisms have a great impact on the origin of new species and on evolution above the species level (macroevolution). A few of the impacts of population genetics upon species and speciation will be discussed, but this is not the main focus of this book.
Microevolutionary mechanisms work upon genetic variability, so it is not surprising that the fundamental premises that underlie population genetic theory and practice all deal with various properties of DNA, the molecule that encodes genetic information in most organisms. (A few organisms use RNA as their genetic material, and the same properties apply to RNA in those cases.) Indeed, the theory of microevolutionary change stems from just three premises:
The implications of each of these premises will now be examined.
Because DNA can replicate, a particular kind of gene (specific set of nucleotides) can be passed on from one generation to the next and can also come to exist as multiple copies in different individuals. Genes, therefore, have an existence in time and space that transcends the individuals that temporarily bear them. The biological existence of genes over space and time is the physical basis of evolution.
The physical manifestation of a gene's continuity over time and through space is a reproducing population of individuals. Individuals have no continuity over space or time; individuals are unique events that live and then die and cannot evolve. But the genes that an individual bears are potentially immortal through DNA replication. For this potential to be realized, the individuals must reproduce. Therefore, to observe evolution, it is essential to study a population of reproducing individuals. A reproducing population does have continuity over time as one generation of individuals is replaced by the next. A reproducing population generally consists of many individuals, and these individuals collectively have a distribution over space. Hence, a reproducing population has continuity over time and space and constitutes the physical reality of a genes' continuity over time and space. Evolution is therefore possible only at the level of a reproducing population and not at the level of the individuals contained within the population.
The focus of population genetics must be upon reproducing populations to study microevolution. However, the exact meaning of what is meant by a population is not fixed, but rather can vary depending upon the questions being addressed. The population could be a local breeding group of individuals found in close geographic proximity, or it could be a collection of local breeding groups distributed over a landscape such that most individuals only have contact with other members of their local group but that, on occasion, there is some reproductive interchange among local groups. Alternatively, a population could be a group of individuals continuously distributed over a broad geographical area such that individuals at the extremes of the range are unlikely to ever come into contact. Sometimes, the population includes the entire species. Within this hierarchy of populations found within species, much of population genetics focuses upon the local population or deme, a collection of interbreeding individuals of the same species that live in sufficient proximity that they share a system of mating. Systems of mating will be discussed in more detail in subsequent chapters, but, for now, the system of mating refers to the rules by which individuals pair for sexual reproduction. The individuals within a deme share a common system of mating. Because a deme is a breeding population, individuals are continually turning over as births and deaths occur, but the local population is a dynamic entity that can persist through time far longer than the individuals that temporarily comprise it. The local population, therefore, has the attributes that allow the physical manifestation of the genetic continuity over space and time that follows from the premise that DNA can replicate.
Because our primary interest is on genetic continuity, we will make a useful abstraction from the deme. Associated with every population of individuals is a corresponding population of genes called the gene pool, the set of genes collectively shared by the individuals of the population. An alternative, and often more useful, way of defining the gene pool is that the gene pool is the population of potential gametes produced by all the individuals of the population. Gametes are the bridges between the generations, so defining a gene pool as a population of potential gametes emphasizes the genetic continuity over time that provides the physical basis for evolution. For empirical studies, the first definition is primarily used; for theory, the second definition is preferred.
The gene pool associated with a population is described by measuring the numbers and frequencies of the various types of genes or gene combinations in the pool. Evolution is defined as a change through time of the frequencies of various types of genes or gene combinations in the gene pool. This definition is not intended to be an all-encompassing definition of evolution. Rather, it is a narrow and focused definition of evolution that is useful in much of population genetics precisely because of its narrowness. This will therefore be our primary definition of evolution in this book.
Since only a local population at the minimum can have a gene pool, only populations can evolve under this definition of evolution, not individuals. Therefore, evolution is an emergent property of reproducing populations of individuals that is not manifested in the individuals themselves. However, there can be higher order assemblages of local populations that can evolve. In many cases, we will consider collections of several local populations that are interconnected by dispersal and reproduction, up to and including the entire species. However, an entire species in some cases could be just a single deme or it could be a collection of many demes with limited reproductive interchange. A species is therefore not a convenient unit of study in population genetics because species status itself does not define the reproductive status that is so critical in population genetic theory. We will always need to specify the type and level of reproducing population that is relevant for the questions being addressed.
Evolution requires change, and change can only occur when alternatives exist. If DNA replication were always 100% accurate, there would be no evolution. A necessary prerequisite for evolution is genetic diversity. The ultimate source of this genetic diversity is mutation. There are many forms of mutation, such as single nucleotide substitutions, insertions, deletions, transpositions, and duplications. For now, our only concern is that these mutational processes create diversity in the population of genes present in a gene pool. Because of mutation, alternative copies of the same homologous region of DNA in a gene pool will show different states.
Mutation occurs at the molecular level. Although many environmental agents can influence the rate and type of mutation, one of the central tenets of Darwinian evolution is that mutations are random with respect to the needs of the organism in coping with its environment. There have been many experiments addressing this tenet, but one of the more elegant and convincing is replica plating, first used by Joshua and Esther Lederberg (1952) (Figure 1.1). Replica plating and other experiments provide empirical proof that mutation, occurring on DNA at the molecular level, is not being directed to produce a particular phenotypic consequence at the level of an individual interacting with its environment. Therefore, we will regard mutations as being random with respect to the organism's needs in coping with its environment (although, as we will see soon, mutation is highly nonrandom in other respects at the molecular level).
Mutation creates allelic diversity. Alleles are alternative forms of a gene. In some cases, genetic surveys focus on a region of DNA that may not be a gene in a classical sense; it may be a DNA region much larger or smaller than a gene, or a noncoding region. We will use the term haplotype to refer to an alternative form (specific nucleotide sequence) among the homologous copies of a defined DNA region, whether a gene or not. The allelic...
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