Molecular ecology, quantitative genetic and genomics - PowerPoint PPT Presentation

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Molecular ecology, quantitative genetic and genomics

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Molecular ecology, quantitative genetic and genomics Dave Coltman + Melissa Gunn, Andrew Leviston, Katie Hartnup & Jon Slate Past, present & future Characterized ... – PowerPoint PPT presentation

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Title: Molecular ecology, quantitative genetic and genomics


1
Molecular ecology, quantitative genetic and
genomics
  • Dave Coltman
  • Melissa Gunn, Andrew Leviston, Katie Hartnup
    Jon Slate

2
Past, present future
  • Characterized microsatellites previously
    developed at U of A and new ones developed at
    Sheffield (NERC 2003-2004)
  • Genotyping and pedigree in progress (NERC
    Sheffield 2004-2005)
  • Quantitative genetic analyses next (NERC
    Sheffield 2005-2006)
  • Genomics (U of A 2005 ?)

3
Molecular ecology
  • Microsatellites developed in Sheffield will/can
    be used for
  • Parentage (vertical pedigree)
  • paternity
  • Kinship (horizontal pedigree)
  • Full sib vs. half sib vs. unrelated
  • Relatedness
  • Pair-wise R network across population

4
Molecular ecology
  • Mating system (Jeff)
  • Levels of multiple paternity and polygyny
  • Male mating success (Jeff)
  • Relationship between phenotype and paternity
  • Spatial relatedness structure (Jeff Mark)
  • relationship to dispersal dynamics resource
    abundance

5
Quantitative genetics
  • Estimation of (co)variance components
  • Prediction of individual genetic values

6
The animal model
yi ? ai ci ?i
Fixed effects (e.g. age, year)
Additive genetic breeding value
Other specific environmental effect
Residual error
VP VA VE VR
h2 VA / VP
7
NERC Objectives
  • 1. Heritability of trait means and plasticities

8
NERC Objectives (2)
  • 2. Identify constraints/accelerants through
    multivariate models (genetic correlations and
    maternal effects)
  • 3. Characterize selection, predict response and
    compare to observed data ebv
  • 4. What happens under supplementation?

9
Other QG ideas?
  • Other traits
  • Heritability and ebvs for physiological,
    metabolic, behavioural parameters?
  • Spatial QG structure
  • Spatial autocorrelation in ebvs, relationship
    with resource landscape, temporal stability

10
Genomics
  • QG basis means we can focus on heritable traits
    using ebvs
  • Targeted gene approach
  • Use bioinformatics to sequence specific genes
    search for association with ebv
  • Sciurid genome map QTL scan
  • map linkage groups fish for association with
    ebv
  • Population genomics
  • Map QTL genes onto broad scale environmental
    biogeographic gradients
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