A genome-wide SNP scan for QTL associated with adult plant rust resistance in East African bread wheat
1. A genome-wide SNP scan for QTL
associated with adult plant rust resistance
in East African bread wheat
G. Macharia1 , S. Chao2 and J. Anderson1
1University of Minnesota, Department of Agronomy and Plant Genetics, ST PAUL MN
2USDA-ARS Biosciences Research Laboratory, FARGO ND
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2. Outline
• Section 1: General overview, definitions
• Section 2: Materials, Methods, Pre-analyses
• Section 3: Association mapping results
• Section 4: Research highlights
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8. Breeding for Durable resistance
• Key to circumvent rust-associated losses
• An opportunity to tap cutting edge techniques
Marker assisted recurrent selection
Genomic selection
Association mapping
• Gene/QTL discovery a pre-requisite
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9. Association Mapping
• Identification of significant statistical
association between a phenotypic trait
and molecular marker based on LD
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10. Linkage Disequilibrium
• Non-random co-inheritance of alleles at
different Loci
…higher marker density
Source: Hamblin et al, 2011
…greater resolution
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11. Population Structure
• Subpopulations at differing allele frequencies
Mapping panel
P1 P2
P3
• Could arise from adaptation, domestication
• Creates LD between unlinked loci
(false positives)
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14. Phenotyping
Trait Location Year
Stem rust APR St Paul, MN 2010
St Paul, MN 2011
St Paul, MN 2012
Njoro, Ken 2011
Njoro, Ken 2012
Leaf rust APR St Paul,MN 2010
St Paul, MN 2011
St Paul, MN 2012
El Batan, MX 2011
Crookston, MN 2012
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15. Disease scoring
• 2 to 3 scores taken for each line
• Last score converted to Coefficient of infection
Modified Cobb Scale
Severity (%) × Infection type = Coefficient of infection
0 - 100 R (0.0)
MR (0.4)
e.g. 60MS MS (0.8) (60 x 0.8) = 48
S (1.0)
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27. Mixed-effects Linear Model
y=Qv + Mα + Kµ + e
y: vector of phenotype
Q: structure matrix
v: random effects due to structure
M: vector of marker genotype
α: marker fixed effect
K: Kinship matrix
µ: fixed effects due to ancestry
e: residual effects
Implemented in TASSEL v.3 (maizegenetics.net)
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42. • Utility of AM for APR QTLs demonstrated
• The 9K chip assay invaluable (90K better!)
• > 20 significant associations (needs validation)
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43. Acknowledgements
Germplasm Field Experiments
• Peter Njau (K.A.R.I.) • Ravi Singh (CIMMYT)
• Solomon Gelalcha (E.A.R.I.) • Yue Jin (USDA ARS CDL)
• Harold Bockelman (USDA ARS NSGC) • Jim Kolmer (USDA ARS CDL)
• Matt Rouse (USDA ARS CDL)
Integrated SNP Map Adviser
• Eduard Akhunov et al (Kansas St Univ.) • Jim Anderson (Univ. of Min.)
Study Leave Funding
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