SlideShare a Scribd company logo
1 of 12
Download to read offline
: ALTSORGHUM Project
Practical Application of Markers
Jurandir Magalhaes
Maize and Sorghum
- GCP General Research Meeting, Hyderabad, 21 – 25 September 2011 -
Physiological Mechanism Encoded by AltSB
 Al-induced organic acid release
Al-citrate
Citrate
Citrate
Citrate
+Citrate Al3+
Citrate : Al3+
(Non-toxic)
(phytotoxic)
+Citrate Al3++Citrate Al3+
Citrate : Al3+
(Non-toxic)
(phytotoxic)
0.0
1.0
2.0
3.0
4.0
0 50 100 150
RRG
RRGRelativeExpression
Al tolerance (RNRG)
r=0.98
(P<0.001)
0.0
1.0
2.0
3.0
4.0
0 50 100 150
RRG
RRGRelativeExpression
Al tolerance (RNRG)
r=0.98
(P<0.001)
24.6 Kb
AltSB: ORF7
ATG TGA 1kb
8 9
AltSB: ORF7
ATG TGAATG TGA 1kb
8 9
Positonal Cloning/Comparative
Genomics rice x sorghum
AltSB: SbMATE
Molecular Breeding for Al Tolerance in Sorghum
Weltzien et al. Sorghum diversity and adaptation to drought in West Africa
Allele mining
 MABC
1.3m
1.5m
1.4m
1.8m
2.0m
2.0m
1.3m
1.5m
1.4m
1.8m
2.0m
2.0m
T A GA A
C G GA A
C G TA A
T A TC G
C G TA G
T G GA G
T A GA AT A GA A
C G GA AC G GA A
C G TA AC G TA A
T A TC GT A TC G
C G TA GC G TA G
T G GA GT G GA G
Association Mapping
Linkage Mapping
Allele MiningMABC
Markers genetically linked to
AltSB
Functional loci or
loci in LD with QTN(s)
Nature Review Genetics
2:1-9 (2001)
G10-brazilian lines
G9-Caudatum from Africa
G7-Guinea from Western AfricaG7-Guinea from Western Africa
G6- Guinea from Asia
G5-Guinea from southern Africa
G4-Dura from Asia andAfrica
G3-Caudatum,bicolor from China
G11-Kafir from southern Africa
G8-transplanted sorghum from Chad and Cameron
G1-Guine margaritiferum
G2-USA lines
G10-brazilian lines
G9-Caudatum from Africa
G7-Guinea from Western AfricaG7-Guinea from Western Africa
G6- Guinea from Asia
G5-Guinea from southern Africa
G4-Dura from Asia andAfrica
G3-Caudatum,bicolor from China
G11-Kafir from southern Africa
G8-transplanted sorghum from Chad and Cameron
G1-Guine margaritiferum
G2-USA lines
Association Analysis of AltSB
Fernanda Caniato
SbMATE_I2_6083pb
Gene fragment 700pb
C-specific allele 483pb
A-specific allele 240pb
(Gene Fragment) 700pb
C-specific allele 483pb
A
C
A-specific allele 240pb
BR007
SC283
SC283
SC283
BR007
BR007
Het.
Het.
Gene fragment 700pb
C-specific allele 483pb
A-specific allele 240pb
(Gene Fragment) 700pb
C-specific allele 483pb
A
C
A-specific allele 240pb
BR007
SC283
SC283
SC283
BR007
BR007
Het.
Het.
Gene fragment 700pb
C-specific allele 483pb
A-specific allele 240pb
(Gene Fragment) 700pb
C-specific allele 483pb
A
C
A-specific allele 240pb
BR007
SC283
Gene fragment 700pb
C-specific allele 483pb
A-specific allele 240pb
Gene fragment 700pbGene fragment 700pb
C-specific allele 483pbC-specific allele 483pb
A-specific allele 240pbA-specific allele 240pb
(Gene Fragment) 700pb
C-specific allele 483pb
A
C
A-specific allele 240pb
BR007
SC283
(Gene Fragment) 700pb
C-specific allele 483pb
A
C
A-specific allele 240pb
(Gene Fragment) 700pb
C-specific allele 483pb
A
C
A
C
A-specific allele 240pb
BR007
SC283
SC283
SC283
BR007
BR007
Het.
Het.
SC283
SC283
BR007
BR007
Het.
Het.
independent amplicon (control) 700pb
C
G
A-specific allele 254pb
C-specific allele 254pb
Gene fragment 700pb
G-specific allele 254pb
C-specific allele 254pb
Gene fragment 700pb
SC283
SC283
BR007
BR007
Het.
Het.
SC283
SC283
BR007
BR007
Het.
Het.
BR007
SC283
independent amplicon (control) 700pb
C
G
A-specific allele 254pb
C-specific allele 254pb
Gene fragment 700pb
G-specific allele 254pb
C-specific allele 254pb
Gene fragment 700pb
SC283
SC283
BR007
BR007
Het.
Het.
SC283
SC283
BR007
BR007
Het.
Het.
BR007
SC283
independent amplicon (control) 700pb
C
G
A-specific allele 254pb
C-specific allele 254pb
Gene fragment 700pb
G-specific allele 254pb
C-specific allele 254pb
Gene fragment 700pb
SC283
SC283
BR007
BR007
Het.
Het.
SC283
SC283
BR007
BR007
Het.
Het.
independent amplicon (control) 700pb
C
G
A-specific allele 254pb
C-specific allele 254pb
Gene fragment 700pb
G-specific allele 254pb
C-specific allele 254pb
Gene fragment 700pb
SC283
SC283
BR007
BR007
Het.
Het.
independent amplicon (control) 700pb
C
G
A-specific allele 254pb
C-specific allele 254pb
Gene fragment 700pb
G-specific allele 254pb
C-specific allele 254pb
Gene fragment 700pb
independent amplicon (control) 700pb
C
G
A-specific allele 254pb
C-specific allele 254pb
independent amplicon (control) 700pb
C
G
A-specific allele 254pb
C-specific allele 254pb
independent amplicon (control) 700pb
C
G
A-specific allele 254pb
C-specific allele 254pb
independent amplicon (control) 700pb
C
G
C
G
A-specific allele 254pb
C-specific allele 254pb
Gene fragment 700pb
G-specific allele 254pb
C-specific allele 254pb
Gene fragment 700pb
Gene fragment 700pbGene fragment 700pb
G-specific allele 254pbG-specific allele 254pb
C-specific allele 254pbC-specific allele 254pb
Gene fragment 700pbGene fragment 700pb
SC283
SC283
BR007
BR007
Het.
Het.
SC283
SC283
BR007
BR007
Het.
Het.
SC283
SC283
BR007
BR007
Het.
Het.
SC283
SC283
BR007
BR007
Het.
Het.
BR007
SC283
SBMATE_I2_6094pb
independent amplicon (control) 700pb
BR007
SC283 A
G
A-specific allele 361pb
G-specific allele 361pb
Gene fragment 700pb
G-specific allele 361pb
A-specific allele 361pb
Gene fragment 700pb
SC283
SC283
BR007
BR007
Het.
Het.
SC283
SC283
BR007
BR007
Het.
Het.
independent amplicon (control) 700pb
BR007
SC283 A
G
A-specific allele 361pb
G-specific allele 361pb
independent amplicon (control) 700pb
BR007
SC283 A
G
A-specific allele 361pb
G-specific allele 361pb
BR007
SC283 A
G
A
G
A-specific allele 361pb
G-specific allele 361pb
Gene fragment 700pb
G-specific allele 361pb
A-specific allele 361pb
Gene fragment 700pb
SC283
SC283
BR007
BR007
Het.
Het.
SC283
SC283
BR007
BR007
Het.
Het.
Gene fragment 700pbGene fragment 700pb
G-specific allele 361pbG-specific allele 361pb
A-specific allele 361pbA-specific allele 361pb
Gene fragment 700pbGene fragment 700pb
SC283
SC283
BR007
BR007
Het.
Het.
SC283
SC283
BR007
BR007
Het.
Het.
SC283
SC283
BR007
BR007
Het.
Het.
SC283
SC283
BR007
BR007
Het.
Het.
SC283
SC283
BR007
BR007
Het.
Het.
SC283
SC283
BR007
BR007
Het.
Het.
SBMATE_I2_5985pb
HETEROZIGOTES
0626050
HETEROZYGOTES
BR007
0626050
Tag Markers for Allele Mining and MABC
ARMS – PCR (Barbara Hufnagel)
Gene fragment 615pb
G-specific allele 496pb
T-specific allele 166pb
independent amplicon (control) 615pb
G-specific allele 496pb
T
G
T-specific allele 166pb
BR007
SC283
SC283
SC283
BR007
BR007
Het.
Het.
Q1: guineas WA
Q2: caudatums (durras)
Q3: Embrapa collection
Q4: kafir from SA
Q5: durras, bicolor/caudatums
Q6: guineas SA and Asia
RNRG5d(%)
Subpopulations
Al tolerance: RNRG (%)
> 80%
30% < RNRG < 80%
< 30%
Freq.
0.05
0.15
0.80
0
10000000
20000000
30000000
40000000
50000000
60000000
70000000
80000000
90000000
0 1 2 3 4 5 6 7 8 9 10
Physicalposition(bp) SorghumChromosomes
Xcup010.0
Xtxp789.6
Xgap256 Xgap042
Xtxp20814.0
Xtxp32517.4
Xcup0619.6
Xtxp30225.0
SbAGF0829.3
Xcup7335.0
Xtxp35747.0
gpsb08953.8
Xtxp04365.8
Xtxp14967.8
Xtxp03277.0
Xtxp03792.4
mSbCIR28699.7
Xgap057109.0
Xtxp075116.0
Xtxp229120.0
Xgap036128.0
Xtxp522137.0
Xtxp61139.0
Xtxp319 Xcup62158.0
mSbCIR306176.1
Xtxp248179.6
Xcup53183.0
Xtxp46183.2
1
Xtxp960.0
Xtxp0634.3
Xtxp29719.0
mSbCIR22319.7
Xtxp5022.0
Xtxp30436.8
Xtxp00464.8
mSbCIR23866.3
Xtxp072 Xcup7474.0
Xtxp29892.9
SbAGB0397.7
Xcup63107.0
Xtxp445121.7
Xtxp056124.0
Xgap084140.7
Xtxp179143.0
Xtxp428153.2
Xtxp348157.0
Xtxp429158.7
Xcup26168.0
Xtxp296172.0
Xcup40190.0
Xtxp8193.8
ISEP0310199.5
2
Xtxp4560.0
Xcup112.0
Xcup616.0
Xtxp2666.1
ISEP01079.0
Xtxp49211.1
Xtxp49117.3
Xtxp48929.0
Xtxp21530.0
Xtxp48538.0
Xtxp50047.0
Xtxp46156.0
Xtxp03361.0
Xgap23662.8
Xtxp20568.0
Xtxp3171.1
mSbCIR27676.3
Xtxp12088.0
Xtxp231100.0
Xtxp218110.0
Xtxp114112.0
Xtxp439127.3
Xtxp441128.0
Xtxp446131.5
Xtxp442131.9
Xtxp447134.0
Xtxp038 Xtxp421138.0
Xtxp448138.7
Xtxp449140.0
Xtxp422141.0
Xtxp34147.8
Xtxp427158.0
Xcup14 Xtxp69160.0
Xtxp425160.1
Xtxp426164.2
3
Xtxp5060.0
Xtxp5046.1
Xgap12116.0
gpsb15120.0
Xcup0526.0
Xcup2336.0
mSbCIR32343.0
Xtxp343 Xtxp01273.0
Xgap01083.0
SbAGG0293.8
Xcup7196.0
Xtxp2598.8
Xtxp024107.0
Xtxp41108.0
Xtxp60120.7
Xtxp051128.5
Xtxp97150.0
Xtxp021153.0
Xcup20170.0
4
mSbCIR3293.0
Xtxp06514.4
Xtxp09423.0
mSbCIR24826.0
Xtxp03028.9
Xtxp30335.3
Xtxp22559.4
Xtxp01564.0
Xtxp02375.9
Xtxp26294.1
Xtxp13696.1
5
Xtxp5215.0
Xtxp00631.6
Xgap07248.3
Xcup3670.2
Xtxp14586.7
Xtxp26590.0
gpsb069104.7
Xtxp484116.0
Xtxp95125.7
Xtxp176134.1
Xtxp057141.0
Xtxp17149.3
Xcup37165.0
6
Xtxp0400.0
Xtxp364.0
gpsb14813.4
Xtxp41318.5
Xtxp48131.8
Xtxp15938.3
Xtxp31258.0
Xtxp22765.7
Xgap34272.0
Xtxp27874.1
Xcup5574.8
Xtxp09287.8
mSbCIR24689.8
Xcup7096.3
mSbCIR300101.8
Xcup19109.0
Xtxp295124.0
Xcup52126.2
SbAGB02130.8
Xtxp168132.0
7
Xtxp2730.0
Xtxp04732.1
Xtxp52050.0
mSbCIR24052.0
Xcup4753.4
gpsb06766.8
Xtxp29469.3
Xtxp35473.4
Xtxp01886.8
Xtxp32187.0
Xtxp10597.7
gpsb123100.0
Xgap34111.0
8
Xtxp28930.0
Xtxp35850.0
Xtxp45955.2
Xtxp41270.1
Xtxp28780.0
Xtxp41181.0
Xtxp23085.5
Xtxp06787.7
Xcup02104.0
Xtxp010108.4
Xtxp339135.0
Xgap032150.0
SbAGE03150.8
Xgap206160.0
Xgap015170.0
9
Xcup490.0
Xcup425.0
Xcup1310.0
Xtxp02053.0
Xtxp270 Xcup6755.0
mSbCIR28357.5
Xtxp217 Xtxp130(PepC)58.0
Xgap001*78.3
Xtxp320(phyB)82.5
mSbCIR26288.8
Xcup1693.6
Xcup43103.0
Xtxp141104.0
Xcup07115.2
10
Mbp 65 71 74
Kbp 300 - 400 100 - 200 400 - 500 100 - 200 400 - 500 700 - 800 800 - 900 600 - 700 800 - 900 900 - 1000 100 - 200 300 - 400 400 - 500 0 - 100 200 - 300 300 - 400 500 - 600 100 - 200
Xtxp38 STOP1 isu52 ctg29 S17 - AltSB - S73 - M181 Xcup14 DG1 EM1 - M96I2 M1762 - MBP
Marker loci txp441 txp446 txp442 txp421 txp449 txp422 txp34 txp427 txp425 txp426
txp447 txp448 txp69
66 68 69 72 73
Marker Assisted Backross
1 – Foreground selection
2 – Flanking marker selection
(linkage drag)
3 – Background selection
Available Resources
Gene-specific markers (10)
SNP markers: 1578
(Martha Hamblin)
Illumina/KASPar
Products and Resources
• Background SNP markers
• Association pipeline for Al tolerance
• Assessment of AltSB on acid soils (grain yield advantage)
Embrapa Maize and Sorghum
Jurandir Magalhaes
Robert E. Schaffert
Fernanda Caniato
Barbara Hufnagel
Belkiss França
Janaina Melo
Claudia Guimarães
Vera Alves
Ubiraci Lana
Moi Unversity
Sam Gudu
INRAN
Soumana Souley
ICRISAT – Mali: Eva Weltzien and
Fred Rattunde, Willmar Leiser
ICRISAT – Niamey: Bettina
Haussmann and Tom Hash
Cornell University/USDA-ARS
Leon Kochian (USDA/CU)
Jiping Liu (USDA/CU)
Zhangjun Fei (USDA/CU)
Stephen Kresovich (IGD/CU)
Sharon Mitchell (IGD/CU)
Martha Hamblin (IGD/CU)
IRRI: Sigrid Heuer
Sigrid Heuer (IRRI)
Matthias Wissuwa (JIRCAS)
Funding
 The Generation Challenge Program
 The McKnight Foundation CCRP Project
 EMBRAPA
 USDA – NRI Competitive Grants Program
 U.S. National Science Foundation
 USDA-Agricultural Research Service

More Related Content

What's hot

2011 1.13
2011 1.132011 1.13
2011 1.13
jgantz
 
Presentation for Phi Sigma Fall 2015
Presentation for Phi Sigma Fall 2015Presentation for Phi Sigma Fall 2015
Presentation for Phi Sigma Fall 2015
Caelie Kern
 
Aug2013 horizon dx engineered cell line reference materials
Aug2013 horizon dx engineered cell line reference materialsAug2013 horizon dx engineered cell line reference materials
Aug2013 horizon dx engineered cell line reference materials
GenomeInABottle
 

What's hot (11)

2011 1.13
2011 1.132011 1.13
2011 1.13
 
Antibodies & Serums
Antibodies & SerumsAntibodies & Serums
Antibodies & Serums
 
Studies on 16 s rrna of f. columnare
Studies on 16 s rrna of f. columnareStudies on 16 s rrna of f. columnare
Studies on 16 s rrna of f. columnare
 
Presentation for Phi Sigma Fall 2015
Presentation for Phi Sigma Fall 2015Presentation for Phi Sigma Fall 2015
Presentation for Phi Sigma Fall 2015
 
Aug2013 horizon dx engineered cell line reference materials
Aug2013 horizon dx engineered cell line reference materialsAug2013 horizon dx engineered cell line reference materials
Aug2013 horizon dx engineered cell line reference materials
 
Aaron wenger comparison of the giab v0.5.0 sv callset to one decent caller
Aaron wenger comparison of the giab v0.5.0 sv callset to one decent callerAaron wenger comparison of the giab v0.5.0 sv callset to one decent caller
Aaron wenger comparison of the giab v0.5.0 sv callset to one decent caller
 
ELISA Kits for Osteoporosis Research
ELISA Kits for Osteoporosis ResearchELISA Kits for Osteoporosis Research
ELISA Kits for Osteoporosis Research
 
RNA editing as a drug target development of a high through put fluorescent as...
RNA editing as a drug target development of a high through put fluorescent as...RNA editing as a drug target development of a high through put fluorescent as...
RNA editing as a drug target development of a high through put fluorescent as...
 
44 elisa kits for laryngeal carcinoma research
44 elisa kits for laryngeal carcinoma research44 elisa kits for laryngeal carcinoma research
44 elisa kits for laryngeal carcinoma research
 
01 elisa kits for malignant ascites research
01 elisa kits for malignant ascites research01 elisa kits for malignant ascites research
01 elisa kits for malignant ascites research
 
37 elisa kits for renal carcinoma research
37 elisa kits for renal carcinoma research37 elisa kits for renal carcinoma research
37 elisa kits for renal carcinoma research
 

Similar to GRM 2011: Practical application of markers for sorghum breeding

Pathway map-reference-guide
Pathway map-reference-guidePathway map-reference-guide
Pathway map-reference-guide
Elsa von Licy
 
ARM 2008: Dissection, characterisation and utilisation of disease QTL -- R Ne...
ARM 2008: Dissection, characterisation and utilisation of disease QTL -- R Ne...ARM 2008: Dissection, characterisation and utilisation of disease QTL -- R Ne...
ARM 2008: Dissection, characterisation and utilisation of disease QTL -- R Ne...
CGIAR Generation Challenge Programme
 
Crop plants: DNA-free genome editing with CRISPR enzymes
Crop plants: DNA-free genome editing with CRISPR enzymesCrop plants: DNA-free genome editing with CRISPR enzymes
Crop plants: DNA-free genome editing with CRISPR enzymes
OECD Environment
 

Similar to GRM 2011: Practical application of markers for sorghum breeding (11)

Sandwich assay.pptx
Sandwich assay.pptxSandwich assay.pptx
Sandwich assay.pptx
 
BLAST 2013
BLAST 2013BLAST 2013
BLAST 2013
 
Predikin and PredikinDB: tools to predict protein kinase peptide specificity
Predikin and PredikinDB:  tools to predict protein kinase peptide specificityPredikin and PredikinDB:  tools to predict protein kinase peptide specificity
Predikin and PredikinDB: tools to predict protein kinase peptide specificity
 
Presentation of Fridtof Lund-Johansen in 1st International Antibody Validatio...
Presentation of Fridtof Lund-Johansen in 1st International Antibody Validatio...Presentation of Fridtof Lund-Johansen in 1st International Antibody Validatio...
Presentation of Fridtof Lund-Johansen in 1st International Antibody Validatio...
 
ABCG5/ABCG8: A Structural View on Sterol Transport
ABCG5/ABCG8: A Structural View on Sterol TransportABCG5/ABCG8: A Structural View on Sterol Transport
ABCG5/ABCG8: A Structural View on Sterol Transport
 
Pcr array guide
Pcr array guidePcr array guide
Pcr array guide
 
Pathway map-reference-guide
Pathway map-reference-guidePathway map-reference-guide
Pathway map-reference-guide
 
ARM 2008: Dissection, characterisation and utilisation of disease QTL -- R Ne...
ARM 2008: Dissection, characterisation and utilisation of disease QTL -- R Ne...ARM 2008: Dissection, characterisation and utilisation of disease QTL -- R Ne...
ARM 2008: Dissection, characterisation and utilisation of disease QTL -- R Ne...
 
Crop plants: DNA-free genome editing with CRISPR enzymes
Crop plants: DNA-free genome editing with CRISPR enzymesCrop plants: DNA-free genome editing with CRISPR enzymes
Crop plants: DNA-free genome editing with CRISPR enzymes
 
BIOshell_Poster-at-HPLC-2014_New-Orleans
BIOshell_Poster-at-HPLC-2014_New-OrleansBIOshell_Poster-at-HPLC-2014_New-Orleans
BIOshell_Poster-at-HPLC-2014_New-Orleans
 
Flagella Figures
Flagella FiguresFlagella Figures
Flagella Figures
 

More from CGIAR Generation Challenge Programme

ARM 2007: Dissection, characterisation and utilisation of disease QTL -- R Ne...
ARM 2007: Dissection, characterisation and utilisation of disease QTL -- R Ne...ARM 2007: Dissection, characterisation and utilisation of disease QTL -- R Ne...
ARM 2007: Dissection, characterisation and utilisation of disease QTL -- R Ne...
CGIAR Generation Challenge Programme
 
TLM III: Improve groundnut productivity for marginal environments from sub-Sa...
TLM III: Improve groundnut productivity for marginal environments from sub-Sa...TLM III: Improve groundnut productivity for marginal environments from sub-Sa...
TLM III: Improve groundnut productivity for marginal environments from sub-Sa...
CGIAR Generation Challenge Programme
 
TLM III: Improve cowpea productivity for marginal environments in sub-Sahara...
TLM III: Improve cowpea productivity for marginal  environments in sub-Sahara...TLM III: Improve cowpea productivity for marginal  environments in sub-Sahara...
TLM III: Improve cowpea productivity for marginal environments in sub-Sahara...
CGIAR Generation Challenge Programme
 
TLIII: Overview of TLII achievements, lessons and challenges for Phase III – ...
TLIII: Overview of TLII achievements, lessons and challenges for Phase III – ...TLIII: Overview of TLII achievements, lessons and challenges for Phase III – ...
TLIII: Overview of TLII achievements, lessons and challenges for Phase III – ...
CGIAR Generation Challenge Programme
 
TLIII: Tropical Legumes I – Improving Tropical Legume Productivity for Margin...
TLIII: Tropical Legumes I – Improving Tropical Legume Productivity for Margin...TLIII: Tropical Legumes I – Improving Tropical Legume Productivity for Margin...
TLIII: Tropical Legumes I – Improving Tropical Legume Productivity for Margin...
CGIAR Generation Challenge Programme
 
PAG XXII 2014 – The Breeding Management System (BMS) of the Integrated Breedi...
PAG XXII 2014 – The Breeding Management System (BMS) of the Integrated Breedi...PAG XXII 2014 – The Breeding Management System (BMS) of the Integrated Breedi...
PAG XXII 2014 – The Breeding Management System (BMS) of the Integrated Breedi...
CGIAR Generation Challenge Programme
 
PAG XXII 2014 – The Crop Ontology: A resource for enabling access to breeders...
PAG XXII 2014 – The Crop Ontology: A resource for enabling access to breeders...PAG XXII 2014 – The Crop Ontology: A resource for enabling access to breeders...
PAG XXII 2014 – The Crop Ontology: A resource for enabling access to breeders...
CGIAR Generation Challenge Programme
 
PAG XXII 2014 – Genomic resources applied to marker-assisted breeding in cowp...
PAG XXII 2014 – Genomic resources applied to marker-assisted breeding in cowp...PAG XXII 2014 – Genomic resources applied to marker-assisted breeding in cowp...
PAG XXII 2014 – Genomic resources applied to marker-assisted breeding in cowp...
CGIAR Generation Challenge Programme
 
GRM 2013: Improving rice productivity in lowland ecosystems of Burkina Faso, ...
GRM 2013: Improving rice productivity in lowland ecosystems of Burkina Faso, ...GRM 2013: Improving rice productivity in lowland ecosystems of Burkina Faso, ...
GRM 2013: Improving rice productivity in lowland ecosystems of Burkina Faso, ...
CGIAR Generation Challenge Programme
 
GRM 2013: Improving sorghum productivity in semi-arid environments of Mali th...
GRM 2013: Improving sorghum productivity in semi-arid environments of Mali th...GRM 2013: Improving sorghum productivity in semi-arid environments of Mali th...
GRM 2013: Improving sorghum productivity in semi-arid environments of Mali th...
CGIAR Generation Challenge Programme
 
GRM 2013: Wheat product catalogue and project status -- Projects ongoing, com...
GRM 2013: Wheat product catalogue and project status -- Projects ongoing, com...GRM 2013: Wheat product catalogue and project status -- Projects ongoing, com...
GRM 2013: Wheat product catalogue and project status -- Projects ongoing, com...
CGIAR Generation Challenge Programme
 

More from CGIAR Generation Challenge Programme (20)

Capacity Building: Gain or Drain? J-M Ribaut, F Okono and NN Diop
Capacity Building: Gain or Drain? J-M Ribaut, F Okono and NN DiopCapacity Building: Gain or Drain? J-M Ribaut, F Okono and NN Diop
Capacity Building: Gain or Drain? J-M Ribaut, F Okono and NN Diop
 
ARM 2007: Dissection, characterisation and utilisation of disease QTL -- R Ne...
ARM 2007: Dissection, characterisation and utilisation of disease QTL -- R Ne...ARM 2007: Dissection, characterisation and utilisation of disease QTL -- R Ne...
ARM 2007: Dissection, characterisation and utilisation of disease QTL -- R Ne...
 
The Generation Challenge Programme: Lessons learnt relevant to CRPs, and the ...
The Generation Challenge Programme: Lessons learnt relevant to CRPs, and the ...The Generation Challenge Programme: Lessons learnt relevant to CRPs, and the ...
The Generation Challenge Programme: Lessons learnt relevant to CRPs, and the ...
 
Lessons learnt from the GCP experience – J-M Ribaut
Lessons learnt from the GCP experience – J-M RibautLessons learnt from the GCP experience – J-M Ribaut
Lessons learnt from the GCP experience – J-M Ribaut
 
Integrated Breeding Platform (IBP): A user-friendly platform to implement the...
Integrated Breeding Platform (IBP): A user-friendly platform to implement the...Integrated Breeding Platform (IBP): A user-friendly platform to implement the...
Integrated Breeding Platform (IBP): A user-friendly platform to implement the...
 
Integrated Breeding Platform (IBP): A user-friendly platform to implement the...
Integrated Breeding Platform (IBP): A user-friendly platform to implement the...Integrated Breeding Platform (IBP): A user-friendly platform to implement the...
Integrated Breeding Platform (IBP): A user-friendly platform to implement the...
 
TLM III: : Improve common bean productivity for marginal environments in su...
TLM III: :   Improve common bean productivity for marginal environments in su...TLM III: :   Improve common bean productivity for marginal environments in su...
TLM III: : Improve common bean productivity for marginal environments in su...
 
TLM III: Improve groundnut productivity for marginal environments from sub-Sa...
TLM III: Improve groundnut productivity for marginal environments from sub-Sa...TLM III: Improve groundnut productivity for marginal environments from sub-Sa...
TLM III: Improve groundnut productivity for marginal environments from sub-Sa...
 
TLM III: Improve cowpea productivity for marginal environments in sub-Sahara...
TLM III: Improve cowpea productivity for marginal  environments in sub-Sahara...TLM III: Improve cowpea productivity for marginal  environments in sub-Sahara...
TLM III: Improve cowpea productivity for marginal environments in sub-Sahara...
 
TLIII: Overview of TLII achievements, lessons and challenges for Phase III – ...
TLIII: Overview of TLII achievements, lessons and challenges for Phase III – ...TLIII: Overview of TLII achievements, lessons and challenges for Phase III – ...
TLIII: Overview of TLII achievements, lessons and challenges for Phase III – ...
 
TLIII: Tropical Legumes I – Improving Tropical Legume Productivity for Margin...
TLIII: Tropical Legumes I – Improving Tropical Legume Productivity for Margin...TLIII: Tropical Legumes I – Improving Tropical Legume Productivity for Margin...
TLIII: Tropical Legumes I – Improving Tropical Legume Productivity for Margin...
 
Adoption of modern breeding tools in developing countries: challenges and opp...
Adoption of modern breeding tools in developing countries: challenges and opp...Adoption of modern breeding tools in developing countries: challenges and opp...
Adoption of modern breeding tools in developing countries: challenges and opp...
 
PAG XXII 2014 – The Breeding Management System (BMS) of the Integrated Breedi...
PAG XXII 2014 – The Breeding Management System (BMS) of the Integrated Breedi...PAG XXII 2014 – The Breeding Management System (BMS) of the Integrated Breedi...
PAG XXII 2014 – The Breeding Management System (BMS) of the Integrated Breedi...
 
PAG XXII 2014 – The Crop Ontology: A resource for enabling access to breeders...
PAG XXII 2014 – The Crop Ontology: A resource for enabling access to breeders...PAG XXII 2014 – The Crop Ontology: A resource for enabling access to breeders...
PAG XXII 2014 – The Crop Ontology: A resource for enabling access to breeders...
 
PAG XXII 2014 – Genomic resources applied to marker-assisted breeding in cowp...
PAG XXII 2014 – Genomic resources applied to marker-assisted breeding in cowp...PAG XXII 2014 – Genomic resources applied to marker-assisted breeding in cowp...
PAG XXII 2014 – Genomic resources applied to marker-assisted breeding in cowp...
 
2011: Introduction to the CGIAR Generation Challenge Programme (GCP)
2011: Introduction to the CGIAR Generation Challenge Programme (GCP)2011: Introduction to the CGIAR Generation Challenge Programme (GCP)
2011: Introduction to the CGIAR Generation Challenge Programme (GCP)
 
Working with diversity in international partnerships -- The GCP experience --...
Working with diversity in international partnerships -- The GCP experience --...Working with diversity in international partnerships -- The GCP experience --...
Working with diversity in international partnerships -- The GCP experience --...
 
GRM 2013: Improving rice productivity in lowland ecosystems of Burkina Faso, ...
GRM 2013: Improving rice productivity in lowland ecosystems of Burkina Faso, ...GRM 2013: Improving rice productivity in lowland ecosystems of Burkina Faso, ...
GRM 2013: Improving rice productivity in lowland ecosystems of Burkina Faso, ...
 
GRM 2013: Improving sorghum productivity in semi-arid environments of Mali th...
GRM 2013: Improving sorghum productivity in semi-arid environments of Mali th...GRM 2013: Improving sorghum productivity in semi-arid environments of Mali th...
GRM 2013: Improving sorghum productivity in semi-arid environments of Mali th...
 
GRM 2013: Wheat product catalogue and project status -- Projects ongoing, com...
GRM 2013: Wheat product catalogue and project status -- Projects ongoing, com...GRM 2013: Wheat product catalogue and project status -- Projects ongoing, com...
GRM 2013: Wheat product catalogue and project status -- Projects ongoing, com...
 

Recently uploaded

Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native Applications
WSO2
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 

Recently uploaded (20)

Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
 
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
 
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
 
Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native Applications
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century education
 
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdfRising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
 
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingRepurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
 
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ..."I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
 
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
 
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
Ransomware_Q4_2023. The report. [EN].pdf
Ransomware_Q4_2023. The report. [EN].pdfRansomware_Q4_2023. The report. [EN].pdf
Ransomware_Q4_2023. The report. [EN].pdf
 
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 AmsterdamDEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
 
Exploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with MilvusExploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with Milvus
 
Manulife - Insurer Transformation Award 2024
Manulife - Insurer Transformation Award 2024Manulife - Insurer Transformation Award 2024
Manulife - Insurer Transformation Award 2024
 

GRM 2011: Practical application of markers for sorghum breeding

  • 1. : ALTSORGHUM Project Practical Application of Markers Jurandir Magalhaes Maize and Sorghum - GCP General Research Meeting, Hyderabad, 21 – 25 September 2011 -
  • 2. Physiological Mechanism Encoded by AltSB  Al-induced organic acid release Al-citrate Citrate Citrate Citrate +Citrate Al3+ Citrate : Al3+ (Non-toxic) (phytotoxic) +Citrate Al3++Citrate Al3+ Citrate : Al3+ (Non-toxic) (phytotoxic) 0.0 1.0 2.0 3.0 4.0 0 50 100 150 RRG RRGRelativeExpression Al tolerance (RNRG) r=0.98 (P<0.001) 0.0 1.0 2.0 3.0 4.0 0 50 100 150 RRG RRGRelativeExpression Al tolerance (RNRG) r=0.98 (P<0.001) 24.6 Kb AltSB: ORF7 ATG TGA 1kb 8 9 AltSB: ORF7 ATG TGAATG TGA 1kb 8 9 Positonal Cloning/Comparative Genomics rice x sorghum AltSB: SbMATE
  • 3. Molecular Breeding for Al Tolerance in Sorghum Weltzien et al. Sorghum diversity and adaptation to drought in West Africa Allele mining  MABC
  • 4. 1.3m 1.5m 1.4m 1.8m 2.0m 2.0m 1.3m 1.5m 1.4m 1.8m 2.0m 2.0m T A GA A C G GA A C G TA A T A TC G C G TA G T G GA G T A GA AT A GA A C G GA AC G GA A C G TA AC G TA A T A TC GT A TC G C G TA GC G TA G T G GA GT G GA G Association Mapping Linkage Mapping Allele MiningMABC Markers genetically linked to AltSB Functional loci or loci in LD with QTN(s) Nature Review Genetics 2:1-9 (2001)
  • 5. G10-brazilian lines G9-Caudatum from Africa G7-Guinea from Western AfricaG7-Guinea from Western Africa G6- Guinea from Asia G5-Guinea from southern Africa G4-Dura from Asia andAfrica G3-Caudatum,bicolor from China G11-Kafir from southern Africa G8-transplanted sorghum from Chad and Cameron G1-Guine margaritiferum G2-USA lines G10-brazilian lines G9-Caudatum from Africa G7-Guinea from Western AfricaG7-Guinea from Western Africa G6- Guinea from Asia G5-Guinea from southern Africa G4-Dura from Asia andAfrica G3-Caudatum,bicolor from China G11-Kafir from southern Africa G8-transplanted sorghum from Chad and Cameron G1-Guine margaritiferum G2-USA lines Association Analysis of AltSB Fernanda Caniato
  • 6. SbMATE_I2_6083pb Gene fragment 700pb C-specific allele 483pb A-specific allele 240pb (Gene Fragment) 700pb C-specific allele 483pb A C A-specific allele 240pb BR007 SC283 SC283 SC283 BR007 BR007 Het. Het. Gene fragment 700pb C-specific allele 483pb A-specific allele 240pb (Gene Fragment) 700pb C-specific allele 483pb A C A-specific allele 240pb BR007 SC283 SC283 SC283 BR007 BR007 Het. Het. Gene fragment 700pb C-specific allele 483pb A-specific allele 240pb (Gene Fragment) 700pb C-specific allele 483pb A C A-specific allele 240pb BR007 SC283 Gene fragment 700pb C-specific allele 483pb A-specific allele 240pb Gene fragment 700pbGene fragment 700pb C-specific allele 483pbC-specific allele 483pb A-specific allele 240pbA-specific allele 240pb (Gene Fragment) 700pb C-specific allele 483pb A C A-specific allele 240pb BR007 SC283 (Gene Fragment) 700pb C-specific allele 483pb A C A-specific allele 240pb (Gene Fragment) 700pb C-specific allele 483pb A C A C A-specific allele 240pb BR007 SC283 SC283 SC283 BR007 BR007 Het. Het. SC283 SC283 BR007 BR007 Het. Het. independent amplicon (control) 700pb C G A-specific allele 254pb C-specific allele 254pb Gene fragment 700pb G-specific allele 254pb C-specific allele 254pb Gene fragment 700pb SC283 SC283 BR007 BR007 Het. Het. SC283 SC283 BR007 BR007 Het. Het. BR007 SC283 independent amplicon (control) 700pb C G A-specific allele 254pb C-specific allele 254pb Gene fragment 700pb G-specific allele 254pb C-specific allele 254pb Gene fragment 700pb SC283 SC283 BR007 BR007 Het. Het. SC283 SC283 BR007 BR007 Het. Het. BR007 SC283 independent amplicon (control) 700pb C G A-specific allele 254pb C-specific allele 254pb Gene fragment 700pb G-specific allele 254pb C-specific allele 254pb Gene fragment 700pb SC283 SC283 BR007 BR007 Het. Het. SC283 SC283 BR007 BR007 Het. Het. independent amplicon (control) 700pb C G A-specific allele 254pb C-specific allele 254pb Gene fragment 700pb G-specific allele 254pb C-specific allele 254pb Gene fragment 700pb SC283 SC283 BR007 BR007 Het. Het. independent amplicon (control) 700pb C G A-specific allele 254pb C-specific allele 254pb Gene fragment 700pb G-specific allele 254pb C-specific allele 254pb Gene fragment 700pb independent amplicon (control) 700pb C G A-specific allele 254pb C-specific allele 254pb independent amplicon (control) 700pb C G A-specific allele 254pb C-specific allele 254pb independent amplicon (control) 700pb C G A-specific allele 254pb C-specific allele 254pb independent amplicon (control) 700pb C G C G A-specific allele 254pb C-specific allele 254pb Gene fragment 700pb G-specific allele 254pb C-specific allele 254pb Gene fragment 700pb Gene fragment 700pbGene fragment 700pb G-specific allele 254pbG-specific allele 254pb C-specific allele 254pbC-specific allele 254pb Gene fragment 700pbGene fragment 700pb SC283 SC283 BR007 BR007 Het. Het. SC283 SC283 BR007 BR007 Het. Het. SC283 SC283 BR007 BR007 Het. Het. SC283 SC283 BR007 BR007 Het. Het. BR007 SC283 SBMATE_I2_6094pb independent amplicon (control) 700pb BR007 SC283 A G A-specific allele 361pb G-specific allele 361pb Gene fragment 700pb G-specific allele 361pb A-specific allele 361pb Gene fragment 700pb SC283 SC283 BR007 BR007 Het. Het. SC283 SC283 BR007 BR007 Het. Het. independent amplicon (control) 700pb BR007 SC283 A G A-specific allele 361pb G-specific allele 361pb independent amplicon (control) 700pb BR007 SC283 A G A-specific allele 361pb G-specific allele 361pb BR007 SC283 A G A G A-specific allele 361pb G-specific allele 361pb Gene fragment 700pb G-specific allele 361pb A-specific allele 361pb Gene fragment 700pb SC283 SC283 BR007 BR007 Het. Het. SC283 SC283 BR007 BR007 Het. Het. Gene fragment 700pbGene fragment 700pb G-specific allele 361pbG-specific allele 361pb A-specific allele 361pbA-specific allele 361pb Gene fragment 700pbGene fragment 700pb SC283 SC283 BR007 BR007 Het. Het. SC283 SC283 BR007 BR007 Het. Het. SC283 SC283 BR007 BR007 Het. Het. SC283 SC283 BR007 BR007 Het. Het. SC283 SC283 BR007 BR007 Het. Het. SC283 SC283 BR007 BR007 Het. Het. SBMATE_I2_5985pb HETEROZIGOTES 0626050 HETEROZYGOTES BR007 0626050 Tag Markers for Allele Mining and MABC ARMS – PCR (Barbara Hufnagel) Gene fragment 615pb G-specific allele 496pb T-specific allele 166pb independent amplicon (control) 615pb G-specific allele 496pb T G T-specific allele 166pb BR007 SC283 SC283 SC283 BR007 BR007 Het. Het.
  • 7. Q1: guineas WA Q2: caudatums (durras) Q3: Embrapa collection Q4: kafir from SA Q5: durras, bicolor/caudatums Q6: guineas SA and Asia RNRG5d(%) Subpopulations Al tolerance: RNRG (%) > 80% 30% < RNRG < 80% < 30% Freq. 0.05 0.15 0.80
  • 8. 0 10000000 20000000 30000000 40000000 50000000 60000000 70000000 80000000 90000000 0 1 2 3 4 5 6 7 8 9 10 Physicalposition(bp) SorghumChromosomes Xcup010.0 Xtxp789.6 Xgap256 Xgap042 Xtxp20814.0 Xtxp32517.4 Xcup0619.6 Xtxp30225.0 SbAGF0829.3 Xcup7335.0 Xtxp35747.0 gpsb08953.8 Xtxp04365.8 Xtxp14967.8 Xtxp03277.0 Xtxp03792.4 mSbCIR28699.7 Xgap057109.0 Xtxp075116.0 Xtxp229120.0 Xgap036128.0 Xtxp522137.0 Xtxp61139.0 Xtxp319 Xcup62158.0 mSbCIR306176.1 Xtxp248179.6 Xcup53183.0 Xtxp46183.2 1 Xtxp960.0 Xtxp0634.3 Xtxp29719.0 mSbCIR22319.7 Xtxp5022.0 Xtxp30436.8 Xtxp00464.8 mSbCIR23866.3 Xtxp072 Xcup7474.0 Xtxp29892.9 SbAGB0397.7 Xcup63107.0 Xtxp445121.7 Xtxp056124.0 Xgap084140.7 Xtxp179143.0 Xtxp428153.2 Xtxp348157.0 Xtxp429158.7 Xcup26168.0 Xtxp296172.0 Xcup40190.0 Xtxp8193.8 ISEP0310199.5 2 Xtxp4560.0 Xcup112.0 Xcup616.0 Xtxp2666.1 ISEP01079.0 Xtxp49211.1 Xtxp49117.3 Xtxp48929.0 Xtxp21530.0 Xtxp48538.0 Xtxp50047.0 Xtxp46156.0 Xtxp03361.0 Xgap23662.8 Xtxp20568.0 Xtxp3171.1 mSbCIR27676.3 Xtxp12088.0 Xtxp231100.0 Xtxp218110.0 Xtxp114112.0 Xtxp439127.3 Xtxp441128.0 Xtxp446131.5 Xtxp442131.9 Xtxp447134.0 Xtxp038 Xtxp421138.0 Xtxp448138.7 Xtxp449140.0 Xtxp422141.0 Xtxp34147.8 Xtxp427158.0 Xcup14 Xtxp69160.0 Xtxp425160.1 Xtxp426164.2 3 Xtxp5060.0 Xtxp5046.1 Xgap12116.0 gpsb15120.0 Xcup0526.0 Xcup2336.0 mSbCIR32343.0 Xtxp343 Xtxp01273.0 Xgap01083.0 SbAGG0293.8 Xcup7196.0 Xtxp2598.8 Xtxp024107.0 Xtxp41108.0 Xtxp60120.7 Xtxp051128.5 Xtxp97150.0 Xtxp021153.0 Xcup20170.0 4 mSbCIR3293.0 Xtxp06514.4 Xtxp09423.0 mSbCIR24826.0 Xtxp03028.9 Xtxp30335.3 Xtxp22559.4 Xtxp01564.0 Xtxp02375.9 Xtxp26294.1 Xtxp13696.1 5 Xtxp5215.0 Xtxp00631.6 Xgap07248.3 Xcup3670.2 Xtxp14586.7 Xtxp26590.0 gpsb069104.7 Xtxp484116.0 Xtxp95125.7 Xtxp176134.1 Xtxp057141.0 Xtxp17149.3 Xcup37165.0 6 Xtxp0400.0 Xtxp364.0 gpsb14813.4 Xtxp41318.5 Xtxp48131.8 Xtxp15938.3 Xtxp31258.0 Xtxp22765.7 Xgap34272.0 Xtxp27874.1 Xcup5574.8 Xtxp09287.8 mSbCIR24689.8 Xcup7096.3 mSbCIR300101.8 Xcup19109.0 Xtxp295124.0 Xcup52126.2 SbAGB02130.8 Xtxp168132.0 7 Xtxp2730.0 Xtxp04732.1 Xtxp52050.0 mSbCIR24052.0 Xcup4753.4 gpsb06766.8 Xtxp29469.3 Xtxp35473.4 Xtxp01886.8 Xtxp32187.0 Xtxp10597.7 gpsb123100.0 Xgap34111.0 8 Xtxp28930.0 Xtxp35850.0 Xtxp45955.2 Xtxp41270.1 Xtxp28780.0 Xtxp41181.0 Xtxp23085.5 Xtxp06787.7 Xcup02104.0 Xtxp010108.4 Xtxp339135.0 Xgap032150.0 SbAGE03150.8 Xgap206160.0 Xgap015170.0 9 Xcup490.0 Xcup425.0 Xcup1310.0 Xtxp02053.0 Xtxp270 Xcup6755.0 mSbCIR28357.5 Xtxp217 Xtxp130(PepC)58.0 Xgap001*78.3 Xtxp320(phyB)82.5 mSbCIR26288.8 Xcup1693.6 Xcup43103.0 Xtxp141104.0 Xcup07115.2 10 Mbp 65 71 74 Kbp 300 - 400 100 - 200 400 - 500 100 - 200 400 - 500 700 - 800 800 - 900 600 - 700 800 - 900 900 - 1000 100 - 200 300 - 400 400 - 500 0 - 100 200 - 300 300 - 400 500 - 600 100 - 200 Xtxp38 STOP1 isu52 ctg29 S17 - AltSB - S73 - M181 Xcup14 DG1 EM1 - M96I2 M1762 - MBP Marker loci txp441 txp446 txp442 txp421 txp449 txp422 txp34 txp427 txp425 txp426 txp447 txp448 txp69 66 68 69 72 73 Marker Assisted Backross 1 – Foreground selection 2 – Flanking marker selection (linkage drag) 3 – Background selection
  • 9. Available Resources Gene-specific markers (10) SNP markers: 1578 (Martha Hamblin) Illumina/KASPar
  • 10. Products and Resources • Background SNP markers • Association pipeline for Al tolerance • Assessment of AltSB on acid soils (grain yield advantage)
  • 11. Embrapa Maize and Sorghum Jurandir Magalhaes Robert E. Schaffert Fernanda Caniato Barbara Hufnagel Belkiss França Janaina Melo Claudia Guimarães Vera Alves Ubiraci Lana Moi Unversity Sam Gudu INRAN Soumana Souley ICRISAT – Mali: Eva Weltzien and Fred Rattunde, Willmar Leiser ICRISAT – Niamey: Bettina Haussmann and Tom Hash Cornell University/USDA-ARS Leon Kochian (USDA/CU) Jiping Liu (USDA/CU) Zhangjun Fei (USDA/CU) Stephen Kresovich (IGD/CU) Sharon Mitchell (IGD/CU) Martha Hamblin (IGD/CU) IRRI: Sigrid Heuer Sigrid Heuer (IRRI) Matthias Wissuwa (JIRCAS)
  • 12. Funding  The Generation Challenge Program  The McKnight Foundation CCRP Project  EMBRAPA  USDA – NRI Competitive Grants Program  U.S. National Science Foundation  USDA-Agricultural Research Service