Evolutionary Quantitative Genetics

Häftad, Engelska, 1997

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This new textbook in quantitative genetics incorporates an evolutionary viewpoint, combining the theoretical basis of quantitative genetics with respect to evolution in natural populations and various statistical methods of analysis. Topics of current research such as genetic correlation and phenotypic plasticity are included. The book addresses the current problems in quantitative genetic evolutionary theory and presents the most commonly used methods of analysis.

Produktinformation

Utgivningsdatum1997-07-31
Mått155 x 235 x 28 mm
Vikt736 g
FormatHäftad
SpråkEngelska
Antal sidor494
FörlagChapman and Hall
ISBN9780412129711

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1— Introduction.- 1.1 Introducing the Problem.- 1.2 Overview.- 1.3 Two General Approaches to Quantitative Genetic Modeling.- 1.4 Wright’s Method of Estimating the Number of Loci.- 1.5 QTL Mapping.- 1.6 Summary.- 2—Heritability.- 2.1 The Meaning of Heritability.- 2.2 Estimation of Heritability for Continuous Traits.- 2.3 Estimation of Heritability for Threshold Traits.- 2.4 Heritability Values Among Different Types of Trait.- 2.5 Dominance Variance in the Different Types of Trait.- 2.6 Heritability Values in Nature.- 2.7 Summary.- 3—The Genetic Correlation.- 3.1 Theory.- 3.2 Estimation of the Genetic Correlation Between Traits Within an Individual.- 3.3 Estimation of the Genetic Correlation Between Different Environments.- 3.4 The Distribution of Genetic Correlations.- 3.5 Is the Phenotypic Correlation a Reasonable Estimate of the Genetic Correlation?.- 3.6 Comparison of Genetic Variance-Covariance Matrices.- 3.7 Summary.- 4—Directional Selection.- 4.1 The Basic Equation: R = h2S.- 4.2 Evolvability.- 4.3 Predicted Response in a Very Large Population.- 4.4 Predicted Response in a Finite Population.- 4.5 Asymmetry of Response.- 4.6 Estimating Heritability from a Directional Selection Experiment.- 4.7 Empirical Findings on the Response to Artificial Selection.- 4.8 Predicting Responses in Nature.- 4.9 Summary.- 5—Directional Selection and the Correlated Response.- 5.1 Derivation of the Correlated Response to Selection.- 5.2 Correlated Response with Selection on One Trait.- 5.3 Correlated Response to Selection on Several Traits.- 5.4 Summary.- 6—Phenotypic Plasticity and Reaction Norms.- 6.1 Two Perspective: Character State Versus Reaction Norm.- 6.2 Evolution of Plastic Traits.- 6.3 The Genetic Basis of Plasticity.- 6.4 Summary.- 7—Sex-Related Effects onQuantitative Variation.- 7.1 Influence of Loci Located on the Sex Chromosomes.- 7.2 Sexual Dimorphism.- 7.3 Maternal Effects: A Theoretical Framework.- 7.4 Measuring Maternal Effects.- 7.5 Summary.- 8—Bottlenecks, Finite Populations, and Inbreeding.- 8.1 Effective Population Size.- 8.2 The Influence of Population Bottlenecks on Quantitative Genetic Variation.- 8.3 The Influence of Finite Population Size on Quantitative Variation.- 8.4 Inbreeding.- 8.5 Summary.- 9—The Maintenance of Genetic Variation.- 9.1 Stabilizing Selection.- 9.2 Disruptive Selection.- 9.3 Mutation-Selection Balance.- 9.4 Heterozygous Advantage.- 9.5 Antagonistic Pleiotropy.- 9.6 Frequency-Dependent Selection.- 9.7 Environmental Heterogeneity.- 9.8 Summary.- 10—A Summing Up.- 10.1 Are the Basic Assumptions of Quantitative Genetics Reasonable?.- 10.2 Is Heritability a Useful Parameter?.- 10.3 How Should Heritability Be Estimated?.- 10.4 Are Laboratory Estimates of Heritability Useful?.- 10.5 How Does Heritability Vary with Trait Type?.- 10.6 The Genetic Correlation: From the Sublime to the Ridiculous?.- 10.7 Directional Selection on a Single Trait: Is It Predictable?.- 10.8 Can We Go from One to Several Traits?.- 10.9 Phenotypic Plasticity: An Experimental Nuisance?.- 10.10 Parental Effects: Another Nuisance?.- 10.11 Should We Worry About Population Size?.- 10.12 Inbreeding Effects: Partial Dominance or Overdominance?.- 10.13 What Maintains Genetic Variation in Populations?.- 10.14 Is Quantitative Genetic Analysis a Viable Approach to the Understanding of Evolution?.- Glossary of Terms.- Glossary of Symbols.- References.- Taxonomic Index.