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Association Mapping and Re-sequencing Updates
Genetic Basis of Agronomic Traits
Connecting Phenotype to Genotype
Yu and Buckler (2006); Zhu et al. (2008)
Traditional F2 QTL Mapping Association Mapping
Use recombination events in F2 to narrow trait of interest to a genomic region
Rely on co-inheritance of functional polymorphism and DNA variant
Correlate molecular with phenotypic variation, rely on many generations of historical recombination, phenotype of interest may be associated with a smaller chromosomal segment
Association Mapping Workflow
1. Germplasm
2. Phenotyping
2. Genotyping
Genome-wide association mappingCandidate/targeted gene approach
3. Association Testing
Choose lines to include in mapping population to capture
as much diversity as possible
Grow and measure traits in replicated trials
Correlate phenotypic variation with genotypic variation
• Extent of linkage disequilibrium– Informs genotyping strategy– Amount of resolution
• Degree of population structure– Can lead to false associations
Association Mapping Considerations
2. Investigate the structure of LD within the association mapping population
4. Test for associations between molecular polymorphisms and variation in key traits
3. Grow and characterize the population for wide variety of traits + genotype
Sunflower Association Mapping (SAM) Objectives
1. Population genetics of the sunflower germplasm, select lines for inclusion
Core 12(~50% of allelic diversity)
Core 48(~60% of allelic diversity)
Core 96(~70% of allelic diversity)
Core 192(~80% of allelic diversity)
433 Cultivated Sunflower Lines
Core 288(~90% of allelic diversity)
SAM Population Line Selection
Mandel et al., TAG 2011
SAM Genetic Diversity
Mandel et al., PLoS Genetics 2013
SAM Genetic RelationshipsHA X RHA
Mandel et al., PLoS Genetics 2013
10k SNPs
Genome-Wide Patterns of FST
Mandel et al., PLoS Genetics 2013
RHA vs. HA
10k SNPs
Linkage Group 1
Genome-Wide Patterns of LD
Mandel et al., PLoS Genetics 2013
10k SNPs
Linkage Group 10
Genome-Wide Patterns of LD
Mandel et al., PLoS Genetics 2013
10k SNPs
Genome-Wide Patterns of LD
Mandel et al., PLoS Genetics 2013
10k SNPs
Background Genomic Diversity
• Substantial SNP genetic variation• Population structure RHA vs. HA
– Somewhat restricted to linkage groups• LD also varies extensively across the genome
• Phenotypic measurements
SAM Field Locations
Plant > 20K seeds288 inbred lines4 plants per line2 replicates3 locations7,200 plants15 people
Phenotyping:- Flowering time
- Plant architecture
- Pigmentation
- Leaf traits
- Dormancy/germination
- Wood-related traits
- Total biomass
- Oil-related traits
Genotyping strategies:- 10k SNP Infinium array
- GBS approach, ~ 40k SNPs
- Seed size/shape
SAM Phenotyping/Genotyping
- Leaf C and N
- Entire SAM re-sequencing
Flowering Time SNP associations10k SNP Array
Mandel et al., PLoS Genetics 201310k SNPs
Visualizing Associations – LG 10
Recessiveapical branching
No Branching Branching
Mandel et al., PLoS Genetics 2013 10k SNPs
Downy Mildew
Downy MildewBlack Stem
Sunflower Rust
Branching/Flowering
Elevated LD and Potential Targets of Selection
Mandel et al., PLoS Genetics 201310k SNPs
Co-Localization of QTL and SNP Associations
Days to FlowerTotal Branching
Mandel et al., PLoS Genetics 2013
10k SNPs
Cell-wall Chemistry SNP Associations GBS, Lignin at GA location
~40k SNPs
SAM Re-Sequencing Efforts
• Entire SAM population of 288 lines • South Africa ARC, Genome Canada/Quebec,
and INRA• Illumina Hi-Seq, 1 or 2 samples per lane
SAM Re-Sequencing Data Analysis WorkflowAdam Bewick and Ben Hsieh
• Sunflower genome– Version: Nov22k22.scf.split.fasta
• Read-trimming with prinseq-lite• Alignment with BWA• Produce VCF files with samtools
SAM Re-Sequencing CoverageAdam Bewick
191/288 lines have been run through the pipeline
LR, NO-I, O-I, OPV, NO, O
SAM Re-Sequencing Next Steps
• Next step is to assay genetic variation– Structural Variation: CNV – Adam’s talk– SNPs
• Use data for genome-wide investigations of genetic variation, association mapping, and evolutionary analyses
Association Genetics Summary
• Mapping panel is very diverse• LD varies across the genome• Association testing and SNPs and genomic
regions as candidates• Created permanent mapping resource• Sequenced genome and 288 re-sequenced
lines: GREAT resource!
Members of the:Burke LabLeebens-Mack LabRieseberg LabRaj Ayyampalayam
Undergrad TeamsAdam BewickBen HsiehJohn BowersMark ChapmanLaura Marek
Jenny DechaineSavithri NambeesanEd McAsseySteve KnappEleni Bachlava
Acknowledgments