SolGS: A Bioinformatics Solution for Genomic Selection Isaak Y Tecle, Naama Menda, Jeremy Edwards,...

39
solGS: A Bioinformatics Solution for Genomic Selection Isaak Y Tecle, Naama Menda, Jeremy Edwards, Lukas Mueller

Transcript of SolGS: A Bioinformatics Solution for Genomic Selection Isaak Y Tecle, Naama Menda, Jeremy Edwards,...

Page 1: SolGS: A Bioinformatics Solution for Genomic Selection Isaak Y Tecle, Naama Menda, Jeremy Edwards, Lukas Mueller.

solGS: A Bioinformatics Solution for Genomic Selection

Isaak Y Tecle, Naama Menda, Jeremy Edwards, Lukas Mueller

Page 2: SolGS: A Bioinformatics Solution for Genomic Selection Isaak Y Tecle, Naama Menda, Jeremy Edwards, Lukas Mueller.

Phenotyped &

Genotyped Lines

Genomic Selection

Prediction Model

Predicted BreedingValues

GenotypedLines

Page 3: SolGS: A Bioinformatics Solution for Genomic Selection Isaak Y Tecle, Naama Menda, Jeremy Edwards, Lukas Mueller.

What solGS does…

Builds prediction models Predicts breeding values Calculates selection index Correlation analysis Interactive data visualization

Page 4: SolGS: A Bioinformatics Solution for Genomic Selection Isaak Y Tecle, Naama Menda, Jeremy Edwards, Lukas Mueller.

Building a prediction model...3 options

Page 5: SolGS: A Bioinformatics Solution for Genomic Selection Isaak Y Tecle, Naama Menda, Jeremy Edwards, Lukas Mueller.

http://cassavabase.org/solgs

Page 6: SolGS: A Bioinformatics Solution for Genomic Selection Isaak Y Tecle, Naama Menda, Jeremy Edwards, Lukas Mueller.

Building a prediction model

Option 1: Search using a trait name

Page 7: SolGS: A Bioinformatics Solution for Genomic Selection Isaak Y Tecle, Naama Menda, Jeremy Edwards, Lukas Mueller.
Page 8: SolGS: A Bioinformatics Solution for Genomic Selection Isaak Y Tecle, Naama Menda, Jeremy Edwards, Lukas Mueller.
Page 9: SolGS: A Bioinformatics Solution for Genomic Selection Isaak Y Tecle, Naama Menda, Jeremy Edwards, Lukas Mueller.
Page 10: SolGS: A Bioinformatics Solution for Genomic Selection Isaak Y Tecle, Naama Menda, Jeremy Edwards, Lukas Mueller.
Page 11: SolGS: A Bioinformatics Solution for Genomic Selection Isaak Y Tecle, Naama Menda, Jeremy Edwards, Lukas Mueller.
Page 12: SolGS: A Bioinformatics Solution for Genomic Selection Isaak Y Tecle, Naama Menda, Jeremy Edwards, Lukas Mueller.
Page 13: SolGS: A Bioinformatics Solution for Genomic Selection Isaak Y Tecle, Naama Menda, Jeremy Edwards, Lukas Mueller.
Page 14: SolGS: A Bioinformatics Solution for Genomic Selection Isaak Y Tecle, Naama Menda, Jeremy Edwards, Lukas Mueller.
Page 15: SolGS: A Bioinformatics Solution for Genomic Selection Isaak Y Tecle, Naama Menda, Jeremy Edwards, Lukas Mueller.

Estimating breeding values of a selection population

Applying the model

Page 16: SolGS: A Bioinformatics Solution for Genomic Selection Isaak Y Tecle, Naama Menda, Jeremy Edwards, Lukas Mueller.
Page 17: SolGS: A Bioinformatics Solution for Genomic Selection Isaak Y Tecle, Naama Menda, Jeremy Edwards, Lukas Mueller.
Page 18: SolGS: A Bioinformatics Solution for Genomic Selection Isaak Y Tecle, Naama Menda, Jeremy Edwards, Lukas Mueller.

Building a prediction model

Option 2: using a trial as a training population

Page 19: SolGS: A Bioinformatics Solution for Genomic Selection Isaak Y Tecle, Naama Menda, Jeremy Edwards, Lukas Mueller.
Page 20: SolGS: A Bioinformatics Solution for Genomic Selection Isaak Y Tecle, Naama Menda, Jeremy Edwards, Lukas Mueller.
Page 21: SolGS: A Bioinformatics Solution for Genomic Selection Isaak Y Tecle, Naama Menda, Jeremy Edwards, Lukas Mueller.

Building a prediction model

Option 3: use your own list of clones

Page 22: SolGS: A Bioinformatics Solution for Genomic Selection Isaak Y Tecle, Naama Menda, Jeremy Edwards, Lukas Mueller.
Page 23: SolGS: A Bioinformatics Solution for Genomic Selection Isaak Y Tecle, Naama Menda, Jeremy Edwards, Lukas Mueller.
Page 24: SolGS: A Bioinformatics Solution for Genomic Selection Isaak Y Tecle, Naama Menda, Jeremy Edwards, Lukas Mueller.

Build multiple models simultaneously

Page 25: SolGS: A Bioinformatics Solution for Genomic Selection Isaak Y Tecle, Naama Menda, Jeremy Edwards, Lukas Mueller.
Page 26: SolGS: A Bioinformatics Solution for Genomic Selection Isaak Y Tecle, Naama Menda, Jeremy Edwards, Lukas Mueller.
Page 27: SolGS: A Bioinformatics Solution for Genomic Selection Isaak Y Tecle, Naama Menda, Jeremy Edwards, Lukas Mueller.

Estimating breeding values of a selection population for multiple traits

Applying the models

Page 28: SolGS: A Bioinformatics Solution for Genomic Selection Isaak Y Tecle, Naama Menda, Jeremy Edwards, Lukas Mueller.
Page 29: SolGS: A Bioinformatics Solution for Genomic Selection Isaak Y Tecle, Naama Menda, Jeremy Edwards, Lukas Mueller.
Page 30: SolGS: A Bioinformatics Solution for Genomic Selection Isaak Y Tecle, Naama Menda, Jeremy Edwards, Lukas Mueller.

Calculating selection index

Page 31: SolGS: A Bioinformatics Solution for Genomic Selection Isaak Y Tecle, Naama Menda, Jeremy Edwards, Lukas Mueller.
Page 32: SolGS: A Bioinformatics Solution for Genomic Selection Isaak Y Tecle, Naama Menda, Jeremy Edwards, Lukas Mueller.
Page 33: SolGS: A Bioinformatics Solution for Genomic Selection Isaak Y Tecle, Naama Menda, Jeremy Edwards, Lukas Mueller.

Statistical method

Ridge regression, mixed-model rrBLUP (Endelman , Plant Genome (2010))

Kinship-BLUP Marker-based realized relationship

matrix

Model accuracy Based on 10-fold cross-validation

Isaak Tecle
Page 34: SolGS: A Bioinformatics Solution for Genomic Selection Isaak Y Tecle, Naama Menda, Jeremy Edwards, Lukas Mueller.

Database Chado ND Schema Co-developed by SGN, GDR,

VectorBase and Medicago Jung et al. Database 2011.

Page 35: SolGS: A Bioinformatics Solution for Genomic Selection Isaak Y Tecle, Naama Menda, Jeremy Edwards, Lukas Mueller.

To sum up… Build models Estimate breeding values Additional tools:

correlation analysis selection index

http://cassavabase.org/solgs Feedback

Page 36: SolGS: A Bioinformatics Solution for Genomic Selection Isaak Y Tecle, Naama Menda, Jeremy Edwards, Lukas Mueller.

Next... Incorporate G x E effects Correlation analyses: phenotype

values vs. breeding values, selection indices vs breeding values.

PCA and clustering Add more prediction methods Computational speed

improvement

Page 37: SolGS: A Bioinformatics Solution for Genomic Selection Isaak Y Tecle, Naama Menda, Jeremy Edwards, Lukas Mueller.

Thanks to…

Page 38: SolGS: A Bioinformatics Solution for Genomic Selection Isaak Y Tecle, Naama Menda, Jeremy Edwards, Lukas Mueller.

Cassavabase team

Page 39: SolGS: A Bioinformatics Solution for Genomic Selection Isaak Y Tecle, Naama Menda, Jeremy Edwards, Lukas Mueller.

Many thanks!!

Background image: nextgencassava.org