14 and 16 April, 2004 - PowerPoint PPT Presentation

1 / 37
About This Presentation
Title:

14 and 16 April, 2004

Description:

How do loci interact (dominance, epistasis, etc) possible maternal effects ... Dominance and epistasis may be involved. h2: narrow heritability ... – PowerPoint PPT presentation

Number of Views:35
Avg rating:3.0/5.0
Slides: 38
Provided by: brianer
Category:
Tags: april | epistasis

less

Transcript and Presenter's Notes

Title: 14 and 16 April, 2004


1
Chapter 18
Quantitative Genetics
Continuous variation
  • 14 and 16 April, 2004

2
(No Transcript)
3
Overview
  • In nature, variation in most phenotypic
    characters is continuous.
  • Such quantitative variation is studied with
    statistical techniques.
  • Continuous variation may be the result of
    segregation of interacting alleles at several
    loci with cumulative effect on phenotype.
  • Environmental interaction with genotype
    contributes to phenotypic variance.
  • Heritability is a population trait, not an
    individual one.

4
(No Transcript)
5
(No Transcript)
6
Quantitative genetics
  • Genetics of continuously varying characters
  • Attempts to determine genetic variation
    contributing to character
  • number of loci with segregating alleles
  • how genes interact with one another and the
    environment (norm of reaction)
  • How do loci interact (dominance, epistasis, etc)
  • possible maternal effects
  • Often requires statistical analysis
  • Quantitative traits small variation between
    genotypes, large variation within genotype.

7
Statistical measures
  • Statistical distribution description of set of
    quantitative measurements
  • graphical representation e.g, histogram
  • distribution function continuous curve
  • Mean measure of central tendency (average)
  • mode most frequent observation
  • Variance measure of dispersion about mean
  • Correlation relationship between two measured
    quantities

8
(No Transcript)
9
Measures of central tendency
Mode most frequent class in sample bimodal two
frequent classes Mean arithmetic average
10
Measures of dispersion
  • Variance of sample average squared deviation
    from mean
  • Standard deviation

11
(No Transcript)
12
(No Transcript)
13
Measures of relationship (1)
  • Correlation coefficient relation between two
    variables, x and y
  • calculated from covariance of sample and standard
    deviations of x and y

14
R2.82
R2.99
15
Measures of relationship (2)
  • Correlation is estimate of precision of relation
    between two variables can not be used to predict
    value of one given the other.
  • Regression describes relationship between two
    variables and allows their prediction.
  • linear regression

16
Although most quantitative traits are
polyfactorial, variation at a single locus can
behave quantitatively.
17
(No Transcript)
18
(No Transcript)
19
Norm of reaction
  • The relationship between environment and
    phenotype for a given genotype
  • Studied by subjecting homozygous lines to
    different environments
  • replicated (e.g., cloned) genotypes
  • inbred lines (e.g., from repeated sib mating)
  • use of dominant markers and crossover suppressors
    to make lines homozygous for particular
    chromosomes
  • Studies indicate that phenotypic differences
    between genotypes are small

20
(No Transcript)
21
(No Transcript)
22
(No Transcript)
23
(No Transcript)
24
Heritability
  • Important to know whether genes contribute to
    phenotypic variation of quantitative character
  • Heritability is a population trait, not property
    of individual
  • Not same as familial trait shared by members of a
    family
  • Characters are heritable only if similarity
    arises from shared genotypes
  • estimated from phenotypic similarity of relatives
  • estimated by cosegregation of gene markers
  • difficult to estimate in humans

25
(No Transcript)
26
H2 broad heritability
s2p total phenotypic variance in
population s2g genetic variance s2e
environmental variance cov covariance between
genotypic and environmental effects s2p s2g
s2e 2 cov ge
H2 tells what part of populations variation is
attributable to genotypic variation.
27
Estimating H2
  • Intercross homozygotes and measure variance
    within each heterozygous genotype. Average is
    s2e which can be subtracted from s2p to give s2g.
  • Statistically estimate from genetic similarities
    between relatives, particularly using difference
    in phenotypic correlation between monozygotic and
    dizygotic twins

28
Meaning of H2
  • It is a population parameter, with no application
    to particular individuals
  • H2 gt 0 means that genetic variance is present
  • H2 0 means that there is no genetic variation
    genes may still be relevant to trait (as in
    development)
  • Value of H2 provides limited prediction about
    effect of environmental modification
  • H2 is specific to environmental conditions under
    which it is measured

29
Locating genes
  • Difficult to identify genes for quantitative
    characters
  • Candidate gene from prior biochemical or
    developmental knowledge
  • Quantitative trait loci (QTL) may be located to
    regions of chromosomes by cosegregation with
    marker genes
  • Dominance and epistasis may be involved

30
(No Transcript)
31
(No Transcript)
32
(No Transcript)
33
h2 narrow heritability
  • Genetic variance can be divided into additive
    genetic variance and dominance variance
  • h2 is useful in determining whether there is
    selectable genetic variation
  • useful in plant and animal breeding

34
(No Transcript)
35
(No Transcript)
36
  • Assignment Concept map, Solved Problems 1-3,
    All Basic and Challenging Problems.

37
(No Transcript)
Write a Comment
User Comments (0)
About PowerShow.com