1 / 10

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)

nerys
Download Presentation

Molecular ecology, quantitative genetic and genomics

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  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

More Related