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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




                                    BGRI Workshop_2012
Outline

• Section 1: General overview, definitions

• Section 2: Materials, Methods, Pre-analyses

• Section 3: Association mapping results

• Section 4: Research highlights

                   BGRI Workshop_2012
Section 1




 BGRI Workshop_2012
Cereal Production targets

                                                                    yield gap




                               Source: Tester and Langridge, 2007


• 37% increase required to meet 2050 demand
                  BGRI Workshop_2012
Wheat: projecting ahead
• Wheat needs to contribute 25% by 2025
                          Global wheat yield growth
                      4        3.6
                      3                        2.8
           Rate (%)


                      2
                      1                                   1.1

                      0
                          1966-79     1984-94        1995-05
                                     Period
                                               Data source: CIMMYT


• At 1.1% growth, wheat can only contribute 17%

                              BGRI Workshop_2012
Confronting the yield gap




         BGRI Workshop_2012
Source: CIMMYT, 2011

BGRI Workshop_2012
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


                        BGRI Workshop_2012
Association Mapping


• Identification of significant statistical
  association between a phenotypic trait
  and molecular marker based on LD




                 BGRI Workshop_2012
Linkage Disequilibrium
• Non-random co-inheritance of alleles at
  different Loci
                   …higher marker density




                                        Source: Hamblin et al, 2011

                   …greater resolution
                   BGRI Workshop_2012
Population Structure
• Subpopulations at differing allele frequencies
                       Mapping panel


                  P1                         P2


                              P3


• Could arise from adaptation, domestication

• Creates LD between unlinked loci
                             (false positives)
                        BGRI Workshop_2012
Section 2

Materials, Methods & pre-analyses




             BGRI Workshop_2012
Bread wheat mapping panel

• 160 Kenyan lines
• 70 Ethiopian
        Historicals to recent releases

• 37 Founders

• Additionally, 35 Minnesota lines

                  BGRI Workshop_2012
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
                BGRI Workshop_2012
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)

                           BGRI Workshop_2012
Stem rust




 BGRI Workshop_2012
Leaf rust




BGRI Workshop_2012
Genotyping

• 9000 SNP Illumina’s infinium assay

• GenomeStudio® for ‘Allele calling’




         Polymorphic                    Ambiguous
                   BGRI Workshop_2012
Genotyping



• Low quality SNPs, MAF < 0.05 eliminated

• 5987 polymorphic SNPs used




                 BGRI Workshop_2012
Population Structure (Q)

• Estimated using 235 SNPs >4 cM apart

• Software: ‘STRUCTURE v.2.3.4’       (Pritchard et al., 2000)




• K=1…10 subpopulations assumed

         Each K= 4 replications


                 BGRI Workshop_2012
Subdivisions inferred

     • Four, plus a ‘Mixed group’




‘CIMMYT_1’ ‘North_ Am.’   ‘CIMMYT_2’            ‘Landraces’   ‘Mixed’




                     Mean Fst = 0.1329
                           BGRI Workshop_2012
Principal Component Analysis

• 3 sets (each 500 random SNPs) used




                 BGRI Workshop_2012
Kinship (K)
Based on 5965 SNPs




    BGRI Workshop_2012
Linkage Disequilibrium (LD)

• Software: TASSEL v3.0             (maizegenetics.net)




• 2547 unlinked SNPs

• r2 used to estimate LD

• r2 plotted against genetic distance


               BGRI Workshop_2012
LD decay




A- 13cM         B- 18cM            D- 11cM
          Estimated LD extent
              BGRI Workshop_2012
Section 3

Association mapping results




          BGRI Workshop_2012
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)




            BGRI Workshop_2012
Njoro stem rust_2011


FDR=0.01




  1A       1B 1D 2A   2B   2D 3A 3B 3D 4A4B4D5A 5B 5D 6A 6B 6D 7A 7B 7D Unknown
                                 Chromosome




                                BGRI Workshop_2012
Njoro stem rust_2012


FDR=0.01




    1A 1B 1D 2A   2B   2D 3A 3B 3D 4A4B4D5A 5B 5D 6A 6B 6D 7A 7B 7D Unknown
                             Chromosome




                            BGRI Workshop_2012
St Paul stem rust_2010


FDR=0.01




   1A 1B 1D 2A 2B   2D 3A   3B 3D 4A4B4D 5A 5B 5D 6A 6B 6D 7A 7B 7D Unknown
                             Chromosome




                            BGRI Workshop_2012
St Paul stem rust_2011


FDR=0.01




   1A 1B 1D 2A   2B   2D 3A 3B 3D 4A4B4D 5A 5B 5D 6A 6B 6D 7A 7B 7D Unknown
                                 Chromosome




                           BGRI Workshop_2012
St Paul stem rust_2012


FDR=0.01




   1A 1B 1D 2A   2B   2D 3A 3B 3D 4A4B4D5A 5B 5D 6A 6B 6D 7A 7B 7D Unknown
                                  Chromosome




                            BGRI Workshop_2012
St Paul leaf rust_2010


FDR=0.01




 1A 1B 1D 2A    2B   2D 3A 3B 3D 4A4B4D5A 5B 5D 6A 6B 6D7A 7B 7D Unknown
                                Chromosome




                          BGRI Workshop_2012
St Paul leaf rust_2011


FDR=0.01




1A    1B 1D 2A   2B   2D 3A 3B 3D 4A4B4D5A 5B 5D 6A 6B 6D7A 7B 7D Unknown
                                Chromosome




                          BGRI Workshop_2012
St Paul leaf rust_2012


FDR=0.01




 1A 1B 1D 2A   2B 2D 3A    3B 3D 4A4B4D5A 5B 5D 6A 6B 6D7A 7B 7D Unknown

                                Chromosome




                          BGRI Workshop_2012
El Batan leaf rust_2011


FDR=0.01




 1A 1B 1D 2A   2B 2D 3A 3B 3D 4A4B4D5A 5B 5D 6A 6B 6D7A 7B 7D Unknown

                             Chromosome




                       BGRI Workshop_2012
Crookston leaf rust_2012


FDR=0.01




1A 1B 1D 2A    2B   2D 3A 3B 3D 4A4B4D5A 5B 5D 6A 6B 6D7A 7B 7D Unknown
                                 Chromosome




                        BGRI Workshop_2012
Summary:
Map positions of Significant markers




              BGRI Workshop_2012
Stem rust (FDR=0.01)
                                                         5.72
                                                16.7
                                                                             75.9

                               124.4



                               143.4
     163.7

                               211.7

2B                        3B                   3D      4A               4B
                  17.1
                  45.9
                                                        Unknown
                                                        Unknown
                  66.7                                  Unknown
                                                                        Njoro_2011
                                                                        St Paul_2010
                                                                        St Paul_2011
                  156.9                                                 St Paul_2012
                                       193.3
                           BGRI Workshop_2012
             5A                   6B                   R2 = 6% to 15%
Leaf rust (FDR=0.01)
                  13.1
                                                                                28.1
                                 57.7
                                                                                                            94.1
     123.8                                                           136.3




                                                                                               184.3


                                                 387.2
1A           1B            1D               2B                  3A           3B         5A             5B
                                          Lr9,Lr14
                         28.5
     115.6                               32.2
                                                         68.1
                         Lr61                                                Unknown
     137.0
                                                                                               El Bata_2011
                                                                                               St Paul_2010
                                                                                               St Paul_2011
                                                                                               Crksto._2012
                                                 BGRI Workshop_2012
6A                                                   7D                       R2 = 6% to 13%
                  6B                7B
Section 4

Research highlights




     BGRI Workshop_2012
• Utility of AM for APR QTLs demonstrated

• The 9K chip assay invaluable (90K better!)

• > 20 significant associations (needs validation)




                    BGRI Workshop_2012
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




                             BGRI Workshop_2012
Thank you


  BGRI Workshop_2012
BGRI Workshop_2012
Summary: Detected Stem Rust ‘APR’ QTLs
False Discovery Rate =0.001                Total= 18                  R2 = 6% to 15%
SNP marker                     Chrom.    Pos          Environment    logpvalue   markerR2
wsnp_Ex_c23509_32746909        5A        66.7         Njoro_2011     3.7746503   0.1002736
wsnp_Ku_rep_c102220_89250165   5A        17.11        Njoro_2011     3.7220425   0.0979537
wsnp_Ex_c23509_32746806        5A        67.23        Njoro_2011     3.5750289   0.0915756
wsnp_Ex_c22018_31193171        2B        163.67       Njoro_2011     3.1322173   0.084855
wsnp_Ex_c2718_5038502          5A        45.9         Njoro_2011     3.0466039   0.0772597
wsnp_Ex_c1383_2652398          6B        193.34       Njoro_2011     3.0078695   0.0741373
wsnp_Ex_c3044_5620102          2B        163.67       Njoro_2011     3.0067282   0.0827768
wsnp_Ex_c2718_5038582          5A        65.62        Njoro_2011     2.9157554   0.0766549
wsnp_BE490763A_Ta_1_3          unknown   unknown      St Paul_2010   3.2363714   0.1497071
wsnp_Ex_rep_c70265_69211592    4B        75.95        St Paul_2010   3.2237278   0.1489716
wsnp_BE405849A_Ta_1_1          5A        156.98       St Paul_2010   3.1839175   0.1466602
wsnp_Ex_c7489_12809914         4A        5.72         St Paul_2011   3.2203025   0.06896
wsnp_Ex_c5457_9632050          3B        143.44       St Paul_2011   3.0865325   0.0656068
wsnp_Ra_rep_c70864_68811286    unknown   unknown      St Paul_2012   4.3207025   0.0967225
wsnp_Ex_c9758_16120551         unknown   unknown      St Paul_2012   4.0542393   0.0916218
wsnp_Ex_c13505_21253168        3B        211.65       St Paul_2012   3.6055684   0.0793914
wsnp_JD_rep_c53979_36270209    3B        124.4        St Paul_2012   3.1090116   0.0650714
wsnp_BE444579D_Ta_2_3          3D        16.66        St Paul_2012   3.0200302   0.0643022


                                 BGRI Workshop_2012
Summary: Detected Leaf Rust ‘APR’ QTLs
False Discovery Rate =0.001                 Total= 19                  R2 = 6% to 13%
SNP marker                     Chrom.    Pos           Environment     LogPvalue markerR2
wsnp_Ex_c8588_14419007         1A        123.8         St Paul_2010    3.9900017   0.1163485
wsnp_Ku_c13229_21142792        1B        13.07         ElBatan_2011    3.287268    0.0807828
wsnp_Ex_c1130_2166731          1D        57.66         ElBatan_2011    3.6755068   0.0935952
wsnp_Ex_c16720_25268525        1D        57.66         ElBatan_2011    3.6755068   0.0935952
wsnp_Ex_rep_c108057_91436561   1D        57.66         ElBatan_2011    3.6755068   0.0935952
wsnp_Ra_c58860_60407020        2B        387.23        St Paul_2011    3.2171866   0.0889992
wsnp_Ex_rep_c104884_89459472   3A        136.29        ElBatan_2011    3.6811409   0.094023
wsnp_Ex_rep_c67033_65490126    3B        31.01         Crookst._2012   3.4344695   0.0766409
wsnp_Ex_rep_c67625_66279491    3B        28.39         Crookst._2012   2.9931129   0.0588606
wsnp_Ex_c31799_40545376        5A        184.34        St Paul_2011    3.1406512   0.0656255
wsnp_Ku_c6464_11320381         5B        94.06         St Paul_2011    3.5574842   0.0770563
wsnp_BF202329A_Ta_2_2          6A        115.65        ElBatan_2011    3.0862858   0.0746064
wsnp_BM134512A_Ta_2_2          6A        115.65        ElBatan_2011    3.0862858   0.0746064
wsnp_Ex_c9502_15748469         6A        137.04        ElBatan_2011    3.1096994   0.0765279
wsnp_Ex_rep_c115803_95396724   6B        28.49         ElBatan_2011    4.8781808   0.1316431
wsnp_Ex_c11106_18002976        7B        32.15         Crookst._2012   3.0027851   0.0588665
wsnp_Ku_c27221_37168065        7D        68.1          Crookst._2012   3.0509121   0.059267
wsnp_Ex_c23850_33089300        unknown   unknown       ElBatan_2011    4.5646064   0.121684
wsnp_be490219A_Ta_1_1          unknown   unknown       ElBatan_2011    3.5737042   0.0904964
                                  BGRI Workshop_2012

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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 BGRI Workshop_2012
  • 2. Outline • Section 1: General overview, definitions • Section 2: Materials, Methods, Pre-analyses • Section 3: Association mapping results • Section 4: Research highlights BGRI Workshop_2012
  • 3. Section 1 BGRI Workshop_2012
  • 4. Cereal Production targets yield gap Source: Tester and Langridge, 2007 • 37% increase required to meet 2050 demand BGRI Workshop_2012
  • 5. Wheat: projecting ahead • Wheat needs to contribute 25% by 2025 Global wheat yield growth 4 3.6 3 2.8 Rate (%) 2 1 1.1 0 1966-79 1984-94 1995-05 Period Data source: CIMMYT • At 1.1% growth, wheat can only contribute 17% BGRI Workshop_2012
  • 6. Confronting the yield gap BGRI Workshop_2012
  • 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 BGRI Workshop_2012
  • 9. Association Mapping • Identification of significant statistical association between a phenotypic trait and molecular marker based on LD BGRI Workshop_2012
  • 10. Linkage Disequilibrium • Non-random co-inheritance of alleles at different Loci …higher marker density Source: Hamblin et al, 2011 …greater resolution BGRI Workshop_2012
  • 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) BGRI Workshop_2012
  • 12. Section 2 Materials, Methods & pre-analyses BGRI Workshop_2012
  • 13. Bread wheat mapping panel • 160 Kenyan lines • 70 Ethiopian Historicals to recent releases • 37 Founders • Additionally, 35 Minnesota lines BGRI Workshop_2012
  • 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 BGRI Workshop_2012
  • 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) BGRI Workshop_2012
  • 16. Stem rust BGRI Workshop_2012
  • 18. Genotyping • 9000 SNP Illumina’s infinium assay • GenomeStudio® for ‘Allele calling’ Polymorphic Ambiguous BGRI Workshop_2012
  • 19. Genotyping • Low quality SNPs, MAF < 0.05 eliminated • 5987 polymorphic SNPs used BGRI Workshop_2012
  • 20. Population Structure (Q) • Estimated using 235 SNPs >4 cM apart • Software: ‘STRUCTURE v.2.3.4’ (Pritchard et al., 2000) • K=1…10 subpopulations assumed Each K= 4 replications BGRI Workshop_2012
  • 21. Subdivisions inferred • Four, plus a ‘Mixed group’ ‘CIMMYT_1’ ‘North_ Am.’ ‘CIMMYT_2’ ‘Landraces’ ‘Mixed’ Mean Fst = 0.1329 BGRI Workshop_2012
  • 22. Principal Component Analysis • 3 sets (each 500 random SNPs) used BGRI Workshop_2012
  • 23. Kinship (K) Based on 5965 SNPs BGRI Workshop_2012
  • 24. Linkage Disequilibrium (LD) • Software: TASSEL v3.0 (maizegenetics.net) • 2547 unlinked SNPs • r2 used to estimate LD • r2 plotted against genetic distance BGRI Workshop_2012
  • 25. LD decay A- 13cM B- 18cM D- 11cM Estimated LD extent BGRI Workshop_2012
  • 26. Section 3 Association mapping results BGRI Workshop_2012
  • 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) BGRI Workshop_2012
  • 28. Njoro stem rust_2011 FDR=0.01 1A 1B 1D 2A 2B 2D 3A 3B 3D 4A4B4D5A 5B 5D 6A 6B 6D 7A 7B 7D Unknown Chromosome BGRI Workshop_2012
  • 29. Njoro stem rust_2012 FDR=0.01 1A 1B 1D 2A 2B 2D 3A 3B 3D 4A4B4D5A 5B 5D 6A 6B 6D 7A 7B 7D Unknown Chromosome BGRI Workshop_2012
  • 30. St Paul stem rust_2010 FDR=0.01 1A 1B 1D 2A 2B 2D 3A 3B 3D 4A4B4D 5A 5B 5D 6A 6B 6D 7A 7B 7D Unknown Chromosome BGRI Workshop_2012
  • 31. St Paul stem rust_2011 FDR=0.01 1A 1B 1D 2A 2B 2D 3A 3B 3D 4A4B4D 5A 5B 5D 6A 6B 6D 7A 7B 7D Unknown Chromosome BGRI Workshop_2012
  • 32. St Paul stem rust_2012 FDR=0.01 1A 1B 1D 2A 2B 2D 3A 3B 3D 4A4B4D5A 5B 5D 6A 6B 6D 7A 7B 7D Unknown Chromosome BGRI Workshop_2012
  • 33. St Paul leaf rust_2010 FDR=0.01 1A 1B 1D 2A 2B 2D 3A 3B 3D 4A4B4D5A 5B 5D 6A 6B 6D7A 7B 7D Unknown Chromosome BGRI Workshop_2012
  • 34. St Paul leaf rust_2011 FDR=0.01 1A 1B 1D 2A 2B 2D 3A 3B 3D 4A4B4D5A 5B 5D 6A 6B 6D7A 7B 7D Unknown Chromosome BGRI Workshop_2012
  • 35. St Paul leaf rust_2012 FDR=0.01 1A 1B 1D 2A 2B 2D 3A 3B 3D 4A4B4D5A 5B 5D 6A 6B 6D7A 7B 7D Unknown Chromosome BGRI Workshop_2012
  • 36. El Batan leaf rust_2011 FDR=0.01 1A 1B 1D 2A 2B 2D 3A 3B 3D 4A4B4D5A 5B 5D 6A 6B 6D7A 7B 7D Unknown Chromosome BGRI Workshop_2012
  • 37. Crookston leaf rust_2012 FDR=0.01 1A 1B 1D 2A 2B 2D 3A 3B 3D 4A4B4D5A 5B 5D 6A 6B 6D7A 7B 7D Unknown Chromosome BGRI Workshop_2012
  • 38. Summary: Map positions of Significant markers BGRI Workshop_2012
  • 39. Stem rust (FDR=0.01) 5.72 16.7 75.9 124.4 143.4 163.7 211.7 2B 3B 3D 4A 4B 17.1 45.9 Unknown Unknown 66.7 Unknown Njoro_2011 St Paul_2010 St Paul_2011 156.9 St Paul_2012 193.3 BGRI Workshop_2012 5A 6B R2 = 6% to 15%
  • 40. Leaf rust (FDR=0.01) 13.1 28.1 57.7 94.1 123.8 136.3 184.3 387.2 1A 1B 1D 2B 3A 3B 5A 5B Lr9,Lr14 28.5 115.6 32.2 68.1 Lr61 Unknown 137.0 El Bata_2011 St Paul_2010 St Paul_2011 Crksto._2012 BGRI Workshop_2012 6A 7D R2 = 6% to 13% 6B 7B
  • 41. Section 4 Research highlights BGRI Workshop_2012
  • 42. • Utility of AM for APR QTLs demonstrated • The 9K chip assay invaluable (90K better!) • > 20 significant associations (needs validation) BGRI Workshop_2012
  • 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 BGRI Workshop_2012
  • 44. Thank you BGRI Workshop_2012
  • 46. Summary: Detected Stem Rust ‘APR’ QTLs False Discovery Rate =0.001 Total= 18 R2 = 6% to 15% SNP marker Chrom. Pos Environment logpvalue markerR2 wsnp_Ex_c23509_32746909 5A 66.7 Njoro_2011 3.7746503 0.1002736 wsnp_Ku_rep_c102220_89250165 5A 17.11 Njoro_2011 3.7220425 0.0979537 wsnp_Ex_c23509_32746806 5A 67.23 Njoro_2011 3.5750289 0.0915756 wsnp_Ex_c22018_31193171 2B 163.67 Njoro_2011 3.1322173 0.084855 wsnp_Ex_c2718_5038502 5A 45.9 Njoro_2011 3.0466039 0.0772597 wsnp_Ex_c1383_2652398 6B 193.34 Njoro_2011 3.0078695 0.0741373 wsnp_Ex_c3044_5620102 2B 163.67 Njoro_2011 3.0067282 0.0827768 wsnp_Ex_c2718_5038582 5A 65.62 Njoro_2011 2.9157554 0.0766549 wsnp_BE490763A_Ta_1_3 unknown unknown St Paul_2010 3.2363714 0.1497071 wsnp_Ex_rep_c70265_69211592 4B 75.95 St Paul_2010 3.2237278 0.1489716 wsnp_BE405849A_Ta_1_1 5A 156.98 St Paul_2010 3.1839175 0.1466602 wsnp_Ex_c7489_12809914 4A 5.72 St Paul_2011 3.2203025 0.06896 wsnp_Ex_c5457_9632050 3B 143.44 St Paul_2011 3.0865325 0.0656068 wsnp_Ra_rep_c70864_68811286 unknown unknown St Paul_2012 4.3207025 0.0967225 wsnp_Ex_c9758_16120551 unknown unknown St Paul_2012 4.0542393 0.0916218 wsnp_Ex_c13505_21253168 3B 211.65 St Paul_2012 3.6055684 0.0793914 wsnp_JD_rep_c53979_36270209 3B 124.4 St Paul_2012 3.1090116 0.0650714 wsnp_BE444579D_Ta_2_3 3D 16.66 St Paul_2012 3.0200302 0.0643022 BGRI Workshop_2012
  • 47. Summary: Detected Leaf Rust ‘APR’ QTLs False Discovery Rate =0.001 Total= 19 R2 = 6% to 13% SNP marker Chrom. Pos Environment LogPvalue markerR2 wsnp_Ex_c8588_14419007 1A 123.8 St Paul_2010 3.9900017 0.1163485 wsnp_Ku_c13229_21142792 1B 13.07 ElBatan_2011 3.287268 0.0807828 wsnp_Ex_c1130_2166731 1D 57.66 ElBatan_2011 3.6755068 0.0935952 wsnp_Ex_c16720_25268525 1D 57.66 ElBatan_2011 3.6755068 0.0935952 wsnp_Ex_rep_c108057_91436561 1D 57.66 ElBatan_2011 3.6755068 0.0935952 wsnp_Ra_c58860_60407020 2B 387.23 St Paul_2011 3.2171866 0.0889992 wsnp_Ex_rep_c104884_89459472 3A 136.29 ElBatan_2011 3.6811409 0.094023 wsnp_Ex_rep_c67033_65490126 3B 31.01 Crookst._2012 3.4344695 0.0766409 wsnp_Ex_rep_c67625_66279491 3B 28.39 Crookst._2012 2.9931129 0.0588606 wsnp_Ex_c31799_40545376 5A 184.34 St Paul_2011 3.1406512 0.0656255 wsnp_Ku_c6464_11320381 5B 94.06 St Paul_2011 3.5574842 0.0770563 wsnp_BF202329A_Ta_2_2 6A 115.65 ElBatan_2011 3.0862858 0.0746064 wsnp_BM134512A_Ta_2_2 6A 115.65 ElBatan_2011 3.0862858 0.0746064 wsnp_Ex_c9502_15748469 6A 137.04 ElBatan_2011 3.1096994 0.0765279 wsnp_Ex_rep_c115803_95396724 6B 28.49 ElBatan_2011 4.8781808 0.1316431 wsnp_Ex_c11106_18002976 7B 32.15 Crookst._2012 3.0027851 0.0588665 wsnp_Ku_c27221_37168065 7D 68.1 Crookst._2012 3.0509121 0.059267 wsnp_Ex_c23850_33089300 unknown unknown ElBatan_2011 4.5646064 0.121684 wsnp_be490219A_Ta_1_1 unknown unknown ElBatan_2011 3.5737042 0.0904964 BGRI Workshop_2012