... x. Variance NORMAL DISTRIBUTIONS OF PHENOTYPES. Mice. Fruit Flies CHARACTERIZING A NORMAL DISTRIBUTION MEAN VARIANCE

Similar documents
Lecture WS Evolutionary Genetics Part I 1

1. they are influenced by many genetic loci. 2. they exhibit variation due to both genetic and environmental effects.

Quantitative Genetics

The concept of breeding value. Gene251/351 Lecture 5

Evolution of phenotypic traits

Quantitative characters II: heritability

Lecture 9. Short-Term Selection Response: Breeder s equation. Bruce Walsh lecture notes Synbreed course version 3 July 2013

Variance Components: Phenotypic, Environmental and Genetic

Evolutionary quantitative genetics and one-locus population genetics

Selection on Correlated Characters (notes only)

Resemblance among relatives

Variation and its response to selection

Short-Term Selection Response: Breeder s equation. Bruce Walsh lecture notes Uppsala EQG course version 31 Jan 2012

Quantitative Traits Modes of Selection

BIOL EVOLUTION OF QUANTITATIVE CHARACTERS

Lecture 6: Introduction to Quantitative genetics. Bruce Walsh lecture notes Liege May 2011 course version 25 May 2011

Evolutionary Theory. Sinauer Associates, Inc. Publishers Sunderland, Massachusetts U.S.A.

Quantitative characters - exercises

Lecture 6: Selection on Multiple Traits

Lecture 2. Fisher s Variance Decomposition

Lecture 3. Introduction on Quantitative Genetics: I. Fisher s Variance Decomposition

DNA polymorphisms such as SNP and familial effects (additive genetic, common environment) to

Multiple random effects. Often there are several vectors of random effects. Covariance structure

Quantitative Genetics I: Traits controlled my many loci. Quantitative Genetics: Traits controlled my many loci

Partitioning Genetic Variance

Models with multiple random effects: Repeated Measures and Maternal effects

Lecture 2. Basic Population and Quantitative Genetics

Genetics and Genetic Prediction in Plant Breeding

heritable diversity feb ! gene 8840 biol 8990

There are 3 parts to this exam. Take your time and be sure to put your name on the top of each page.

Lecture 7 Correlated Characters

Lecture 2: Introduction to Quantitative Genetics

Evolution of quantitative traits

Selection on Multiple Traits

Prediction of the Confidence Interval of Quantitative Trait Loci Location

STABILIZING SELECTION ON HUMAN BIRTH WEIGHT

Lecture 13 Family Selection. Bruce Walsh lecture notes Synbreed course version 4 July 2013

Chapter 8: Evolution and Natural Selection

INTRODUCTION TO ANIMAL BREEDING. Lecture Nr 3. The genetic evaluation (for a single trait) The Estimated Breeding Values (EBV) The accuracy of EBVs

Lecture 4: Allelic Effects and Genetic Variances. Bruce Walsh lecture notes Tucson Winter Institute 7-9 Jan 2013

Heritability and the response to selec2on

Lecture 4. Basic Designs for Estimation of Genetic Parameters

Variance Component Models for Quantitative Traits. Biostatistics 666

Lecture 9. QTL Mapping 2: Outbred Populations

Chapter 7 The Genetic Model for Quantitative Traits

An introduction to quantitative genetics

H = σ 2 G / σ 2 P heredity determined by genotype. degree of genetic determination. Nature vs. Nurture.

Selection 10: Theory of Natural Selection

Chapter 2 Section 1 discussed the effect of the environment on the phenotype of individuals light, population ratio, type of soil, temperature )

Quantitative characters III: response to selection in nature

Optimum selection and OU processes

Selection & Adaptation

Selection & Adaptation

Mutation, Selection, Gene Flow, Genetic Drift, and Nonrandom Mating Results in Evolution

Lesson 4: Understanding Genetics

Population Genetics & Evolution

Quantitative Trait Variation

contents: BreedeR: a R-package implementing statistical models specifically suited for forest genetic resources analysts

Proportional Variance Explained by QLT and Statistical Power. Proportional Variance Explained by QTL and Statistical Power

Biometrical Genetics. Lindon Eaves, VIPBG Richmond. Boulder CO, 2012

The Mystery of Missing Heritability: Genetic interactions create phantom heritability - Supplementary Information

20th Summer Institute in Statistical Genetics

HONORS PSYCHOLOGY REVIEW QUESTIONS

Contents PART 1. 1 Speciation, Adaptive Radiation, and Evolution 3. 2 Daphne Finches: A Question of Size Heritable Variation 41

Chapter 5: Advanced topics in quantitative genetics. 5.1 Phenotypic plasticity and Genotype-environment interaction

19. Genetic Drift. The biological context. There are four basic consequences of genetic drift:

Introduction to Quantitative Genetics. Introduction to Quantitative Genetics

Lecture 5: BLUP (Best Linear Unbiased Predictors) of genetic values. Bruce Walsh lecture notes Tucson Winter Institute 9-11 Jan 2013

Multidimensional heritability analysis of neuroanatomical shape. Jingwei Li

Lecture 2: Genetic Association Testing with Quantitative Traits. Summer Institute in Statistical Genetics 2017

Lecture 19. Long Term Selection: Topics Selection limits. Avoidance of inbreeding New Mutations

Quantitative characters

INTRODUCTION TO ANIMAL BREEDING. Lecture Nr 2. Genetics of quantitative (multifactorial) traits What is known about such traits How they are modeled

Quantitative characters

OVERVIEW. L5. Quantitative population genetics

Family resemblance can be striking!

The Chromosomal Basis of Inheritance

Partitioning the Genetic Variance

2.2 Selection on a Single & Multiple Traits. Stevan J. Arnold Department of Integrative Biology Oregon State University

Darwin spent 20 years conducting research, after his voyage, in attempt to understand HOW evolution occurs.

Estimating Breeding Values

SYLLABUS PRINCIPLES OF QUANTITATIVE GENETICS. William (Bill) Muir, Department of Animal Sciences, Purdue University

Analysis of Short-Term Selection Experiments: 1. Least-Squares Approaches

Topics in evolutionary dynamics Lecture 2: Phenotypic models

Natural Selection results in increase in one (or more) genotypes relative to other genotypes.

Lecture 5 Basic Designs for Estimation of Genetic Parameters

Introduction to QTL mapping in model organisms

Lecture 11: Multiple trait models for QTL analysis

Introduction to QTL mapping in model organisms

Covariance between relatives

1 Gene and Genotype Frequencies (population genetics) 2 Fundamentals of Quantitative Genetics. 3 Similarity among Relatives. 4 Response to Selection

Natural Selection. Charles Darwin & Alfred Russell Wallace

Theory of Evolution. Chapter 15

Mechanisms of Evolution

Solutions to Problem Set 4

Sympatric Speciation

Case-Control Association Testing. Case-Control Association Testing

Homework Assignment, Evolutionary Systems Biology, Spring Homework Part I: Phylogenetics:

1 Springer. Nan M. Laird Christoph Lange. The Fundamentals of Modern Statistical Genetics

Biological Evolution

Transcription:

NORMAL DISTRIBUTIONS OF PHENOTYPES Mice Fruit Flies In:Introduction to Quantitative Genetics Falconer & Mackay 1996 CHARACTERIZING A NORMAL DISTRIBUTION MEAN VARIANCE Mean and variance are two quantities that describe a normal distribution. USEFUL PARAMETERS FOR QUANTITATIVE GENETICS Mean: The sum of all measurements divided by the number of measurements x1 x2... x x N n 1 N Variance: The average squared deviation of the observations from the mean x i Variance 2 2 x x x x x x 2 1 1 2 n i N N x x 2 1

CORRELATIONS AMONG CHARACTERS OR RELATIVES 0 + Covariance: Cov x, y 1 xi xy j y N COMPONENTS OF PHENOTYPIC VARIATION V P = V G + V E The total phenotypic variance for a character (V P ) is a function of: Genetic variance (V G ) the variance among the mean phenotypes of different genotypes Environmental variance (V E ) the variance among phenotypes expressed by replicate members of the same genotype Differences between monozygotic twins are due to environmental factors. ENVIRONMENTAL VARIATION WITHIN PURE LINES IN: Lynch & Walsh. 1998. Genetics and Analysis of Quantitative Traits. Sinauer Assoc. 2

COMPONENTS OF GENETIC VARIATION V G = V A + V D + V I The total genetic variance for a character (V G ) is a function of: Additive genetic variance (V A ) variation due to the additive effects of alleles Dominance genetic variation (V D ) variation due to dominance relationships among alleles Epistatic genetic variation (V I ) variation due to interactions among loci DOMINANCE VERSUS ADDITIVE GENETIC VARIANCE Dominance variance is due to dominance deviations, which describe the extent to which heterozygotes are not exactly intermediate between the homozygotes. The additive genetic variance is responsible for the resemblance between parents and offspring. The additive genetic variance is the basis for the response to selection. RESEMBLANCE BETWEEN RELATIVES When there is genetic variation for a character there will be a resemblance between relatives. Relatives will have more similar trait values to each other than to unrelated individuals. 3

RESEMBLANCE BETWEEN RELATIVES DEPENDS ON THE DEGREE OF RELATIONSHIP y Monozygotic twins Full sibs Parent-offspring x Half sibs Slope of a plot of two variables (x,y) = Cov (x,y) / Var (x) DEGREE OF RELATEDNESS AND THE COMPONENTS OF PHENOTYPIC COVARIANCE V A = additive genetic variance V D = dominance genetic variance V Es = variance due to shared environment Relationship Monozygotic twins: Parent-offspring Full sibs Half sibs, or Grandparent grandchild Phenotypic covariance V A + V D + V Es ½ V A (½ V A ) +(¼ V D ) +V Es ¼ V A HERITABILITY The heritability (h 2 ) of a trait is a measure of the degree of resemblance between relatives. h 2 = additive genetic variance (V A )/ phenotypic variance (V P ) Heritability ranges from 0 to 1 (Traits with no genetic variation have a heritability of 0) 4

HERITABILITY h 2 = V A / V P = V A / (V G + V E ) Since heritability is a function of the environment (V E ), it is a context dependent measure. It is influenced by both, The environment that organisms are raised in, and The environment that they are measured in. ESTIMATING HERITABILITY FROM REGRESSION slope = b = Cov (x,y)/var (x) Method of estimation COV (x,y) h 2 Slope (b) Offspring-Single parent ½ V A 2b b = ½ h 2 Half-sib ¼ V A 4b b = ¼ h 2 Offspring-Grandparent ¼ V A 4b b = ¼ h 2 Offspring-Midparent - b b = h 2 HERITABILITY OF BEAK DEPTH IN DARWINS FINCHES 5

HERITABILITIES FOR SOME TRAITS IN ANIMAL SPECIES h 2 (%) IN: Falconer & Mackay. Introduction to Quantitative Genetics.1996. Longman. HERITABILITIES FOR DIFFERENT TYPES OF TRAITS Life history Behavior Physiology Morphology FROM:Mousseau & Roff. 1987. THE UNIVARIATE BREEDERS EQUATION: R = h 2 S Response to Selection Selection differential Heritability Where: 2 h V V A P (Additive Genetic Variance) (Phenotypic Variance) 6

ARTIFICIAL SELECTION IN DOMESTIC ANIMALS Grey Jungle fowl RESPONSE TO SELECTION WHEN h 2 = 1/3 The selection differential (S) = mean of selected individuals mean of the base population S The response to selection: S R = h 2 S VISUALIZING THE SELECTION DIFFERENTIAL 7

RESPONSE TO SELECTION For a given intensity of selection, the response to selection is determined by the heritability. High heritability Low heritability See Box 7.2 Z&E ESTIMATING h 2 USING THE BREEDER S EQUATION R = h 2 S Slope * 2 R O O h S P P * 8

MODES OF SELECTION Fig. 7.6 Z&E SELECTION ON QUANTITATIVE TRAITS Stabilizing and Directional selection Fitness THE ADAPTIVE LANDSCAPE Phenotypic mean Frequency Directional Stabilizing Phenotypic value Response to Directional Selection: 9

Response to Directional Selection: Fig. 7.8 Z&E Response to Directional Selection: In:Introduction to Quantitative Genetics Falconer & Mackay 1996 10