evolution at multiple loci: quantitative genetics
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Evolution at Multiple Loci: Quantitative Genetics. I. Rediscovery of Mendel and Challenges to Natural Selection. Do traits that exhibit continuous variation have a genetic basis? - PowerPoint PPT PresentationTRANSCRIPT
Evolution at Multiple Loci:Quantitative Genetics
I. Rediscovery of Mendel and Challenges to Natural Selection
• Do traits that exhibit continuous variation have a genetic basis?
• If the only traits which have genetic variation are controlled by one or two loci then natural selection not as important as mutation
• Darwin envisioned evolution to be a continuous process of selection acting on limitless genetic variation, with small changes occurring in any one generation, but large changes occurring over long periods.
Why the normal distribution: Central Limit Theorem
Mendelian genetics can explain quantitative traits
Example 1: NILSSON-EHLE: Red and White Kernal Color in Wheat
Example 2:East’s workwith tobacco
Quantitative traits are influenced by the environment as well as genotype
Yarrow plant
1. Fisher’s prediction
Mutation Effect
Prob
abili
ty o
f Fix
atio
n
2. Kimura’s modification
3. Orr’s modification
II. Neo Darwinian SynthesisTheoretical models that support then contend with the Darwinian model
Typical results
Corolla Width (mm)
F2
BC
F1M. micranthus M. guttatus
F1
F2
Fenster & Ritland 1994
Testing the Models:
No filter
Filtered image—“bumblevision”
SegregationOf floral typesDemonstrateGenetic basisOf trait Differences
Convergent evolution??
Yosemite Sam thinks so
1. Fisher’s prediction
Mutation Effect
Prob
abili
ty o
f Fix
atio
n
2. Kimura’s modification
3. Orr’s modification
Theoretical models that support then contend with the Darwinian model
Alleles with a distribution of effect sizes contribute to adaptations
III. Measuring Selection and Response to Selection on Continuous Traits
A. Heritability
58 60 62 64 66 68 70 72 74
Femal eHt
0
0. 05
0. 1Density
90 105 120 135 150 165 180 195 210Femal eWt
0
0. 005
0. 01
0. 015Density
Class Data
Female Wt
Female HT
100 125 150 175 200 225 250 275Mal eWt
0
0. 005
0. 01
0. 015Density
62. 5 65. 0 67. 5 70. 0 72. 5 75. 0 77. 5Mal eHt
0
0. 05
0. 1
0. 15
Density
Male Wt
Male Ht
Model Equat i onFemal eWt = 91. 1457 + 0. 2807 Mot her Wt
100 150 200 250Mot her Wt
100
150
200
FemaleWt
Heritability of Female Wt
Model Equat i onFemal eWt = 75. 0179 + 0. 3094 Fat her Wt
150 200 250 300Fat her Wt
100
150
200
FemaleWt
Heritability of Female Wt
Model Equat i onFemal eWt = 57. 2357 + 0. 4499 Mi dPar ent Wt
150 200 250Mi dPar ent Wt
100
150
200
FemaleWt
Heritability of Female Wt
Model Equat i onFemal eHt = 48. 4108 + 0. 2592 Mot her Ht
55 60 65 70 75Mot her Ht
60
65
70FemaleHt
Heritability of Female Ht
Model Equat i onFemal eHt = 26. 1514 + 0. 5575 Fat her Ht
65 70 75Fat her Ht
60
65
70FemaleHt
Heritability of Female Ht
Model Equat i onFemal eHt = 23. 3220 + 0. 6198 Mi dpar ent Ht
62 64 66 68 70 72Mi dpar ent Ht
60
65
70FemaleHt
Heritability of Female Ht
Model Equat i onMal eWt = 137. 452 + 0. 1867 Mot her Wt
100 150 200Mot her Wt
150
200
250
MaleWt
Heritability of Male Wt
Model Equat i onMal eWt = 107. 950 + 0. 2951 Fat her Wt
150 200 250 300Fat her Wt
150
200
250
MaleWt
Heritability of Male Wt
Model Equat i onMal eWt = 99. 5721 + 0. 3870 Mi dPar ent Wt
150 200 250Mi dPar ent Wt
150
200
250
MaleWt
Heritability of Male Wt
Model Equat i onMal eHt = 29. 1168 + 0. 6420 Mot her Ht
60 65 70Mot her Ht
65
70
75
MaleHt
Heritability of Male Ht
Model Equat i onMal eHt = 31. 2457 + 0. 5623 Fat her Ht
65 70 75Fat her Ht
65
70
75
MaleHt
Heritability of Male Ht
Model Equat i onMal eHt = 14. 7069 + 0. 8275 Mi dpar ent Ht
62 64 66 68 70 72Mi dpar ent Ht
65
70
75
MaleHt
Heritability of Male Ht
Conclusions from class data:
Distributions of Wts and Hts are roughly normal
Distribution indicates that Wts and Hts are likely controlledby many loci, = many loci are segregating alleles that contribute to wt and ht differences among individuals
Heritabilities for Ht >> WT 50% >> 30%
Interpretation for other human traits??