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Molecular ecology, quantitative genetic and genomics

Molecular ecology, quantitative genetic and genomics. Dave Coltman + Melissa Gunn, Andrew Leviston, Katie Hartnup & Jon Slate. Past, present & future. Characterized microsatellites previously developed at U of A and new ones developed at Sheffield (NERC 2003-2004)

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Molecular ecology, quantitative genetic and genomics

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  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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