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Sorghum QTL Atlas Emma Mace David Jordan DO NOT COPY

COPY DO NOT David Jordan Sorghum QTL Atlas€¦ · 16.06.2018  · sPb-0810 M188404 txp43M343014 txp88 sPb-0232 M343356 sPb-5358 sPb-2602 sPb-6600 sPb-7567 sPb-8492 M188582. M189251

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  • Sorghum QTL AtlasEmma Mace

    David Jordan

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    OPY

  • Why have we developed a QTL Atlas?How users can access the Atlas?

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    OPY

  • The mechanisms governing the genetic control of many quantitative traits are only poorly understood and have yet to be fully exploited, despite a large volume of data having been generated.

    How can we better improve the rate of progress in an applied breeding program focused on quantitative traits?

    Why have we developed a QTL Atlas?

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    OPY

  • Why have we developed a QTL Atlas?

    Over the last 2 decades, >150 QTL and GWAS studies have been published in sorghum, producing an enormous amount of information concerning the genetic basis of quantitative traits

    • genomic location, • allelic effects, • epistatic interactions.

    But making use of this information is not straight forward.

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  • Why have we developed a QTL Atlas?

    There is no central repository of QTL studies that allows users to compare results of all current QTL and GWAS studies against a common framework

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    COP

    Y

  • >150 studies > 6000 QTL in sorghum for over 220 traits identified

    heterogeneous nature of QTL studies leading to variable reliability of QTL identified

    from one study to the next

    the time investment required to integrate the information and generate a comprehensive

    QTL database

    Why have we developed a QTL Atlas?

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    OT C

    OPY

  • Heterogeneous nature of QTL studies…not all QTL are equal

    The precision of initial QTL identification in QTL mapping studies is influenced by many factors including:

    • population size and type, • precision of the phenotyping, • QTL analysis methodology • marker order, coverage and density.

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    OPY

  • The precision of initial QTL identification in QTL mapping studies is influenced by many factors including:

    • population size and type, • precision of the phenotyping, • QTL analysis methodology • marker order, coverage and density.

    Heterogeneous nature of QTL studies…not all QTL are equal

    DO N

    OT C

    OPY

  • The precision of initial QTL identification in QTL mapping studies is influenced by many factors including:

    • population size and type, • precision of the phenotyping, • QTL analysis methodology • marker order, coverage and density.

    Heterogeneous nature of QTL studies…not all QTL are equal

    DO N

    OT C

    OPY

  • The precision of initial QTL identification in QTL mapping studies is influenced by many factors including:

    • population size and type, • precision of the phenotyping, • QTL analysis methodology • marker order, coverage and density.

    Heterogeneous nature of QTL studies…not all QTL are equal

    DO N

    OT C

    OPY

  • The precision of initial QTL identification in QTL mapping studies is influenced by many factors including:

    • population size and type, • precision of the phenotyping, • QTL analysis methodology • marker order, coverage and density.

    sPb-0145

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    sPb-1017sPb-2075 sPb-2639sPb-4311sPb-6700

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    sPb-9215 sPb-3958sPb-1722 sPb-4480sPb-8432 sPb-6875sPb-7643

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    txp4

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    sPb-3361

    sPb-5737 sPb-3834

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    sPb-1669 sPb-2055

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    sPb-1137sPb-1362 sPb-5108sPb-6122

    sPb-8787

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    txp285

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    sPb-8446 sPb-2739sPb-7493 sPb-4718

    sPb-1584

    sPb-6741sPb-4506 sPb-2138sPb-8296 sPb-6559sPb-1811 sPb-1798sPb-9359 sPb-7310sPb-7274 sPb-5742sPb-1841 sPb-9987sPb-0867 sPb-7210sPb-9033 sPb-3903sPb-1295 sPb-8470sPb-2187

    sPb-2842

    sPb-5220

    txp343

    SB1-10

    sPb-9303 sPb-6115

    sPb-5119 sPb-9544sPb-5408

    sPb-9009

    txp303

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    sPb-1396sPb-2874 sPb-0873

    sPb-7892

    sPb-5603 sPb-0017sPb-4732 sPb-1486

    sPb-5101

    sPb-8316 sPb-7064sPb-4740 sPb-9309sPb-2034

    sPb-1414 sPb-2757sPb-1244 sPb-0571

    sPb-2774

    sPb-8673

    sPb-6577

    sPb-9007 sPb-8251sPb-4179

    sPb-2491

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    sPb-0703

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    sPb-9818 sPb-7843

    sPb-3396

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    sPb-1661sPb-7889

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    sPb-2228sPb-9743 sPb-4546sPb-0833sPb-3954

    sPb-7823

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    sPb-5401 sPb-1291sPb-1051

    sPb-1272 sPb-7082sPb-5250sPb-7648

    sPb-2290sPb-5420sPb-4385

    sPb-3434

    sPb-7855

    sPb-1991

    sPb-8812 sPb-9227

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    sPb-1239 sPb-0771sPb-8338

    sPb-6667

    txp230

    txp67

    txp258

    sPb-4156

    sPb-6515

    sPb-8306sPb-2735

    sPb-2193sPb-3432 sPb-0248sPb-5005

    sPb-8357

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    sPb-0817

    sPb-8150 sPb-6292

    sPb-5917

    sPb-7473

    sPb-1962

    sPb-5841

    sPb-9064 sPb-8201

    sPb-6889sPb-9215 sPb-1722sPb-3958 sPb-8432sPb-7643 sPb-4944sPb-6875sPb-4480

    sPb-1040

    M188427

    umc84

    sPb-8325

    sPb-7161sPb-5521 sPb-0623sPb-2583 txp208SbRPG837

    msbcir268

    HVHGA1 HVGAD1umc107 msbcir347txp302 sPb-3891msbcir242msbcir228

    M340904

    M342631

    sbAGFO8umc140

    sPb-6917

    sPb-6577

    sPb-4329SbRPG873 um7

    M189295

    sPb-5315

    M340898sPb-8041

    sPb-6176

    txp182 sPb-3618

    umc83

    sPb-4793

    gpsb089

    sPb-3727sPb-1191sPb-3525sPb-4234

    M187880

    M187200

    sPb-2684sPb-2412 sPb-9216sPb-0810

    M188404txp43 M343014txp88

    sPb-0232M343356

    sPb-5358

    sPb-2602

    sPb-6600

    sPb-7567sPb-8492

    M188582

    M189251

    msbcir304b

    sPb-3311

    msbcir286 gpsb173

    sPb-3801

    gap57sPb-8423sPb-7958sPb-6083gpsb051txp75M187238

    M343241 M187616

    gap36

    msbcir336

    bnl5.09

    sPb-0233

    M343279

    SbRPG80

    txp340 M342904M340364

    msbcir306sPb-7611

    sPb-4435

    gpsb129 M340373

    sPb-8743

    sPb-7549 sPb-7657sPb-4855

    M200042 M341662M341592 msbcir266

    sPb-2754 gpsb011

    gpsb174

    M187772 sPb-0333

    sPb-3103

    txp25gpsb178 M342927M342711 sPb-8345M340957M341741

    msbcir223 sPb-7668bsPb-7668txp211OPA7sPb-3086 sPb-1764sPb-9687M188881 M343289sPb-1127

    M342329 M340416M342090SbRPG136sPb-3798

    sPb-5347 sPb-8376

    M342380

    sPb-7177 sPb-8897sPb-5643

    umc55

    sPb-0364

    sPb-5224sPb-4081msbcir238sPb-8616 sPb-4419gpsb087M187382M340431 M342471sPb-7695sPb-1920sPb-6434sPb-6288sPb-4970

    M340888M343120 M343067

    sPb-7882

    M343086 M188424M342358M188643M188479 M342759M342673sPb-0350M340532

    M342498

    sbAGBO3

    msbcir312

    M341108 M188174

    M187697 M188348

    sPb-1970M187871 M187894

    M188335

    msbcir339 M189020

    txp1

    M342762

    sPb-3917

    sPb-2568

    sPb-3361M340414 M342409M340589sPb-4862sPb-2229

    sPb-6424sPb-1925

    sPb-8706

    SSmsbcir78

    sPb-8568

    sPb-0363

    M342700 M189270sPb-5454M199861M340963

    M340747 M342200

    M188917 M342283

    gpsb012sPb-2309 sPb-6714sPb-2461 sPb-5594M341408umc124 M342808sPb-1906 sPb-4915sPb-6982sPb-2055 sPb-1669sPb-0656 M188933M188681 M340763M188657M341540SBRPG846M342547sPb-0319M341223sPb-5409txp215sPb-9135

    M187276

    sPb-6857

    M340732sPb-9388

    SbRPG106

    sPb-4226

    gpsb086

    sPb-2562

    sPb-9076

    sPb-7688sPb-5108 sPb-1362sPb-6122

    sPb-1137

    msbcir224 txp33

    gap236sPb-9779 M187546

    sPb-5922

    csu58M340384 M341885M340852 M342663M340802 M188114txp31

    msbcir276

    sPb-2209

    sPb-3965sPb-1496

    sPb-9139 msbcir314

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    sbAGEO1

    sPb-1480

    M341446 M341571

    M188311

    msbcir225

    txp38

    M188846 M342704sPb-6013

    txp34

    bnl5.37sPb-3228 sPb-6925M340973 M342779

    M342567 M188347M188920 M342305

    sPb-9894

    sPb-6770

    sPb-4074sPb-7493sPb-8446sPb-2739msbcir340sPb-4718

    sPb-4233

    sPb-7042

    gpsb050

    sPb-1853 msbcir323M187763

    sPb-1932

    M187985

    M188323

    M200413

    RZ599

    M188005 M188903

    sPb-2944 sPb-6547

    sPb-2842

    M340930

    M187716

    M187502

    sPb-8488

    M343007sPb-7534txp12

    M187661

    sbAGGO2RZ166 M340886M341851 M340482

    M340990 sPb-2084sPb-0854 sPb-9041

    M200347

    umc68sPb-4649M340664 M342464M342470 M187539gpsb073txp24

    M340375 M341949csu26

    M342928M342010M342065

    txp327 txp60

    msbcir232

    sPb-8100M187223 M340952M187170 M187207M188305 M342916M188710

    gpsb045

    M342320 M342191M341902 M342643M187461M187118sPb-4692 M340433

    gpsb028

    txp21sPb-0110M341593M341500

    msbcir329 M188451

    gpsb159M341693 sPb-4041sPb-0906

    txp65

    sPb-0381

    sPb-7047 sPb-5256

    gpsb84 M188102M340916 sPb-5692bgpsb005M342865 sPb-4131sPb-3977sPb-5317 sPb-1282M188898 msbcir248sPb-5390sPb-8247 sPb-0510umc8 gpsb017gpsb165

    sPb-5408 sPb-9080

    sPb-3995

    sPb-0932

    sPb-1989

    M187365

    M340444 M340397sPb-6787 M340953sPb-5399 M189058sPb-6861txp15 M340502M340464 M341521sPb-6341M188512M341155sPb-7893 sPb-9312sPb-2187 M341517sPb-8470M188205 sPb-9054

    M343065M188878sPb-4086 M342398csu166

    sPb-6855

    sPb-7106

    gpsb003

    txp23

    M188834

    gpsb176

    SbRPG608

    sPb-9490

    sbKAFGK1

    sPb-2570 sPb-9858

    sPb-1181

    sPb-2161 M342033M343312 M341274M342046 M340547sPb-3418sPb-5562 sPb-7892msbcir222

    SSmsbcir120

    gpsb032

    sPb-1677 sPb-9772

    sPb-1491

    msbcir211 M342640

    sPb-8793sPb-3644cdo456

    sPb-9511

    sPb-8963

    txp6

    M340448

    M187805

    sPb-8362 sPb-5564sPb-6017 M342664

    gap7 gap72

    sPb-5506 sPb-7660M187589M342089 M340758SSmsbcir92 M341530

    sPb-4947

    sPb-4503 sPb-3019

    M341635

    sPb-5030

    txp145 sPb-4324

    txp265 txp274sPb-1755 sPb-7777

    gpsb127 M188023

    sPb-7290

    M341712 M340945M341047M342581M342391M342764gpsb069M341192

    sPb-5802 sPb-7581

    umc44

    sPb-0255

    bnl10.13

    sPb-1721M187824M189179M343162 sPb-3962txp95sPb-6526M342082

    sPb-5086 M340415sPb-9830sPb-5212 sPb-8954sPb-9422sPb-0581 sPb-7627sPb-1657sPb-8410

    sPb-9667

    M187362

    gpsb169SbRPG225M340483 M188251M341110gpsb019 M188096M341392 M342492M343304M342678

    gpsb148msbcir348

    umc85M341299

    sPb-1311

    sPb-4878sPb-2566

    M342381 gpsb114

    sPb-5277M341472

    sPb-8296

    SbRPG22

    sPb-1244sPb-0508 sPb-3708sPb-7531sPb-0571sPb-6252 sPb-2757sPb-1414sPb-7992

    gap342gpsb010

    M343313sPb-6863 sPb-7687sPb-3541sPb-9206 sPb-8340

    gpsb031

    msbcir246

    sPb-8251 sPb-4179sPb-9007

    msbcir300 M340509

    sPb-9351txp295

    sPb-6927

    sPb-3258sbAGBO2sPb-5688sPb-9750 M341979bnl5.59

    sPb-6798

    sPb-8608

    sPb-9299

    txp273

    gpsb041

    gpsb104

    gpsb023

    M188849

    SbRPG931

    sPb-1130sPb-5054M341589

    sPb-7630

    sPb-5825

    sPb-3247

    sPb-8260

    M341597

    M343025 M343001

    sPb-9279

    M341867

    sPb-7856 msbcir240

    sPb-4768a

    M340629 M340408M341359sPb-2140 sPb-4200sPb-2474 sPb-8057sPb-3195SbRPG125

    sPb-9242M342657gpsb067sPb-4934sPb-5980sPb-2271 sPb-4432sPb-8059 M187350sPb-0435

    sPb-3014

    sPb-9762 sPb-3236sPb-5886 sPb-0325sPb-0441 sPb-6807sPb-3312 sPb-1265

    sPb-3189

    txp354

    sPb-0258

    gpsb103

    msbcir337a sPb-0856

    sPb-7375

    txp18 txp321msbcir304asPb-6935sPb-3715

    gpsb002

    txp105

    gpsb123

    M343181

    M188408M188523M342880 M188830M340454sPb-8363sPb-7220sPb-0289 sPb-2487sPb-6960 sPb-8384sPb-6918M187818sPb-5401sPb-1051

    sPb-1291

    sPb-4614

    SbRPG950

    sPb-0445

    sbAGEO3umc62M187494M343363

    M188061sPb-7460sPb-7686 gpsb020

    M343231 sPb-2968sPb-1732 sPb-0852sPb-4006

    M189112 M188652M342540

    M342839sPb-6089 gpsb079M340730 M340810sPb-1991

    umc38

    sPb-4933

    M341480SbRPG743 M188412sPb-0975 sPb-4416M340974

    sPb-8542

    sPb-8777M340536

    sPb-3298sPb-6748M188560

    sPb-9306

    sPb-8764

    sPb-1324 sPb-8873sPb-4786 sPb-6852sPb-6280 sPb-6043sPb-5055 M188501M342028 M341817sPb-5312 sPb-3158sPb-9272SbRPG821

    M342543M341251M342741 M341021M342494M187902msbcir337b msbcir317M188207

    sPb-7193

    sPb-0005

    gap42

    M340587M342280 M341115umc64sPb-6515

    sPb-0303sPb-7367 sPb-7955sPb-8368 sPb-9091M340964 sPb-9410sPb-4787 sPb-9962sPb-6506

    M188934 M341036gap85sPb-8366

    SbRPG917sPb-5281 sPb-8306M340704

    sPb-1945

    W AXY6msbcir331 msbcir324M189136

    M342557

    M187940 sPb-6720

    gpsb027

    SbRPG921

    sPb-9517asPb-8357

    umc113

    sPb-3828 M341294

    sPb-1104

    sPb-5917

    sPb-2149

    sPb-0494

    sPb-1962M340774 M342244M340871 M188983sPb-9999

    sPb-6331

    M341606M341123

    M187142

    txp217 sPb-4121bnl7.24msbcir283 sPb-6271

    M340333

    sPb-3696

    sPb-9682

    sPb-8019

    sPb-2935 sPb-8232

    SbRPG742

    M342842

    M342954 M340856M340712 M340495gap1

    sPb-0859

    msbcir262 msbcir227sPb-0162

    M343252 M342053M342566

    RZ143

    sPb-4588 sPb-5814gpsb145

    Heterogeneous nature of QTL studies…not all QTL are equal

    DO N

    OT C

    OPY

  • SBI-01 SBI-02 SBI-03 SBI-04 SBI-05 SBI-06 SBI-07 SBI-08 SBI-09 SBI-10

    Some QTL have a large confidence interval (CI), others have a small CI.

    Some are highly significant, others less significant.

    Some are detected from a single source (bi-parental mapping population), whereas others are detected in multiple sources (from a diversity panel)***

    ***

    ******

    **

    **

    **

    *****

    ***

    **

    *

    *

    *

    QTL

    col

    our-c

    odin

    g

    QTL

    col

    our-c

    odin

    g

    Heterogeneous nature of QTL studies…not all QTL are equal

    DO N

    OT C

    OPY

  • SBI-01 SBI-02 SBI-03 SBI-04 SBI-05 SBI-06 SBI-07 SBI-08 SBI-09 SBI-10

    ***

    ***

    ******

    **

    **

    **

    *****

    ***

    **

    *

    *

    *

    The resulting complexity of the QTL landscape means that delimiting the QTL confidence

    intervals identified across multiple highly diverse studies is a major challenge

    Heterogeneous nature of QTL studies…not all QTL are equal

    DO N

    OT C

    OPY

  • SBI-01 SBI-02 SBI-03 SBI-04 SBI-05 SBI-06 SBI-07 SBI-08 SBI-09 SBI-10

    ***

    ***

    ******

    **

    **

    **

    *****

    ***

    **

    *

    *

    *

    Any attempt to project QTL locations from multiple experiments onto a single genetic or physical map

    must take into account factors on which the reliability of the initial QTL study depends.

    Heterogeneous nature of QTL studies…not all QTL are equal

    DO N

    OT C

    OPY

  • >150 studies > 6000 QTL in sorghum for over 220 traits identified

    heterogeneous nature of QTL studies leading to variable reliability of QTL identified

    from one study to the next

    the time investment required to integrate the information and generate a comprehensive

    QTL database

    Why have we developed a QTL Atlas?

    DO N

    OT C

    OPY

  • >150 studies > 6000 QTL in sorghum for over 220 traits identified

    heterogeneous nature of QTL studies leading to variable reliability of QTL identified

    from one study to the next

    the time investment required to integrate the information and generate a comprehensive

    QTL database

    Why have we developed a QTL Atlas?

    DO N

    OT C

    OPY

  • >150 studies > 6000 QTL in sorghum for over 220 traits identified

    heterogeneous nature of QTL studies leading to variable reliability of QTL identified

    from one study to the next

    the time investment required to integrate the information and generate a comprehensive

    QTL database

    This consisted of: • 44 QTL studies• 771 QTL• 161 unique traitsAll 771 QTL were aligned to• Version 1 of the sorghum genome assembly• The sorghum consensus genetic linkage map

    Why have we developed a QTL Atlas?

    We have estimated the CIs for projected QTL following:CI = 530/(NR2) for F2 (described by Darvasi & Soller 1997)CI = 163/(NR2) for RI (described by Guo et al. 2006) where N is the number of lines in the mapping population and R2 is the proportion of phenotypic variation explained by the identified QTL. DO

    NOT

    COP

    Y

  • >150 studies > 6000 QTL in sorghum for over 220 traits identified

    heterogeneous nature of QTL studies leading to variable reliability of QTL identified

    from one study to the next

    the time investment required to integrate the information and generate a comprehensive

    QTL database

    The updated Sorghum QTL Atlas currently consists of: • >150 QTL and GWAS studies• ~6000 QTL and significant marker-trait

    associations• >220 unique traitsAll 6000 QTL are aligned to• All 3 versions of the sorghum genome assembly• The sorghum consensus genetic linkage map• Zea mays genome (agpv2)• Oryza sativa genome (release 7)

    Why have we developed a QTL Atlas?

    DO N

    OT C

    OPY

  • • What other QTL are nearby my trait of interest that could be effected by any selection I apply?

    • In what populations have QTL for my trait(s) of interest been identified?

    • How often has a particular QTL been identified in other studies/populations?

    • What is the largest effect size QTL that has been identified for my trait(s) of interest?

    • How many GWAS studies versus standard QTL mapping studies have been undertaken for my trait of interest?

    • Which genes are within the QTL CI for my target trait in sorghum and also in the syntenic locations in maize and rice?

    QTL atlas we have developed will enable researchers to answer the following sorts of questions:

    DO N

    OT C

    OPY

  • • What other QTL are nearby my trait of interest that could be effected by any selection I apply?

    • In what populations have QTL for my trait(s) of interest been identified?

    • How often has a particular QTL been identified in other studies/populations?

    • What is the largest effect size QTL that has been identified for my trait(s) of interest?

    • How many GWAS studies versus standard QTL mapping studies have been undertaken for my trait of interest?

    • Which genes are within the QTL CI for my target trait in sorghum and also in the syntenic locations in maize and rice?

    QTL atlas we have developed will enable researchers to answer the following sorts of questions:

    DO N

    OT C

    OPY

  • csu5870.0MT3670.7txp3171.1txp33673.2txp18375.2msbcir27676.3sPb-878777.4

    txp44480.2

    txs58485.4txp50387.5txS143987.6umc6387.8R87.9txp12088.4txp43589.2sPb-220991.6

    sPb-224695.7

    cdo116098.9txp231101.1sPb-3965102.8txp59103.2sPb-1496104.0

    txS307106.7txS545108.9bcd828110.2isu121111.5msbcir314112.0txp114113.7txp437115.8sPb-1725116.5ST458117.1

    sPb-6121121.6M341446125.3txs1927126.0txp440127.1sPb-8349128.2bcd738129.0M342704130.6txp442131.9S1329132.5sPb-4921133.7isu166134.5txs1226135.4msbcir225136.0txp285136.6txp421137.4txp38138.1txp448138.7sPb-9977140.8txp420141.4txS301144.0sPb-4629144.9txp34147.8txp424148.9bnl5.37149.1sPb-6925149.9isu68150.6AltSB152.0sPb-9894153.7txS1075154.6ms3155.3sPb-6770158.0A159.8txp69160.2txp425162.1Str58162.6CUa1163.2txp426164.2sPb-1642168.3sPb-8802172.3

    Pericarp colour (R)

    Awns (A)

    Scenario 1: No selection

    Scenario 2: Selection for red grain (R_)

    Scenario 3: Selection for lemon yellow grain (rr)

    Scenario 4: Selection for red grain (R_) and no awns (A_)

    Scenario 5: Selection for lemon yellow grain (rr) and awns (aa)

    0.0

    0.2

    0.4

    0.6

    0.8

    1.0

    Frequency of the senescent parent allele

    stg2stg1

    stg2stg1

    Awnless

    A_

    Awned

    aa

    98.4% of progeny with stg2 favourable alleles

    90.6% of progeny with stg1 favourable alleles

  • csu5870.0MT3670.7txp3171.1txp33673.2txp18375.2msbcir27676.3sPb-878777.4

    txp44480.2

    txs58485.4txp50387.5txS143987.6umc6387.8R87.9txp12088.4txp43589.2sPb-220991.6

    sPb-224695.7

    cdo116098.9txp231101.1sPb-3965102.8txp59103.2sPb-1496104.0

    txS307106.7txS545108.9bcd828110.2isu121111.5msbcir314112.0txp114113.7txp437115.8sPb-1725116.5ST458117.1

    sPb-6121121.6M341446125.3txs1927126.0txp440127.1sPb-8349128.2bcd738129.0M342704130.6txp442131.9S1329132.5sPb-4921133.7isu166134.5txs1226135.4msbcir225136.0txp285136.6txp421137.4txp38138.1txp448138.7sPb-9977140.8txp420141.4txS301144.0sPb-4629144.9txp34147.8txp424148.9bnl5.37149.1sPb-6925149.9isu68150.6AltSB152.0sPb-9894153.7txS1075154.6ms3155.3sPb-6770158.0A159.8txp69160.2txp425162.1Str58162.6CUa1163.2txp426164.2sPb-1642168.3sPb-8802172.3

    Pericarp colour (R)

    Awns (A)

    stg2stg1

    stg2stg1

    Using QTL information to inform breeding strategy

    Highlights the importance of knowing what other QTL are nearby the trait of interest that could be impacted by any selection applied

    DO N

    OT C

    OPY

  • 050

    100150

    200

    1 2 3 4 5 6 7 8 9 10

    020

    4060

    80100

    120140

    QTL distribution heat-map

    Highlights the importance of knowing what other QTL are nearby the trait of interest that could be impacted by any selection applied

    DO N

    OT C

    OPY

  • 050

    100150

    200

    1 2 3 4 5 6 7 8 9 10

    020

    4060

    80100

    120140

    QTL distribution heat-map

    DO N

    OT C

    OPY

  • SM SC BR AB P M L10 8 2 5 7 2 110 8 2 5 6 2 111 8 2 8 7 2 112 8 2 10 7 2 113 7 6 11 6 2 112 7 8 12 6 2 113 9 7 13 7 4 114 10 7 11 5 4 116 10 3 11 6 4 116 10 2 7 7 4 118 9 2 7 10 4 123 9 1 7 10 4 123 10 1 7 9 4 124 10 0 6 8 4 133 10 0 6 10 4 140 10 2 6 10 4 145 10 9 8 16 4 147 10 20 8 18 4 140 11 20 8 18 4 133 12 21 8 18 4 127 12 18 6 12 4 027 11 7 5 10 4 026 11 7 3 10 4 024 10 4 3 10 4 020 10 0 9 10 4 016 8 1 9 9 4 016 8 5 9 10 5 016 10 5 9 11 4 016 10 5 3 11 4 016 9 5 3 12 4 016 8 1 3 9 4 016 9 1 3 10 4 018 11 1 3 10 4 017 11 1 3 9 4 017 14 1 3 8 5 017 14 1 4 7 5 014 17 1 4 6 5 014 21 1 3 7 5 012 21 1 5 8 7 012 23 1 4 7 8 012 23 1 4 7 12 0

    Abbreviation Trait category Number of QTL/significancesL Leaf 441M Maturity 401P Panicle 1660AB Resistance abiotic 1753BR Resistance biotic 388SC Stem composition 421SM Stem morphology 750

    DO N

    OT C

    OPY

  • SM SC BR AB P M L10 8 2 5 7 2 110 8 2 5 6 2 111 8 2 8 7 2 112 8 2 10 7 2 113 7 6 11 6 2 112 7 8 12 6 2 113 9 7 13 7 4 114 10 7 11 5 4 116 10 3 11 6 4 116 10 2 7 7 4 118 9 2 7 10 4 123 9 1 7 10 4 123 10 1 7 9 4 124 10 0 6 8 4 133 10 0 6 10 4 140 10 2 6 10 4 145 10 9 8 16 4 147 10 20 8 18 4 140 11 20 8 18 4 133 12 21 8 18 4 127 12 18 6 12 4 027 11 7 5 10 4 026 11 7 3 10 4 024 10 4 3 10 4 020 10 0 9 10 4 016 8 1 9 9 4 016 8 5 9 10 5 016 10 5 9 11 4 016 10 5 3 11 4 016 9 5 3 12 4 016 8 1 3 9 4 016 9 1 3 10 4 018 11 1 3 10 4 017 11 1 3 9 4 017 14 1 3 8 5 017 14 1 4 7 5 014 17 1 4 6 5 014 21 1 3 7 5 012 21 1 5 8 7 012 23 1 4 7 8 012 23 1 4 7 12 0

    Abbreviation Trait category Number of QTL/significancesL Leaf 441M Maturity 401P Panicle 1660AB Resistance abiotic 1753BR Resistance biotic 388SC Stem composition 421SM Stem morphology 750

    1122724392365

    DO N

    OT C

    OPY

  • SM SC BR AB P M L10 8 2 5 7 2 110 8 2 5 6 2 111 8 2 8 7 2 112 8 2 10 7 2 113 7 6 11 6 2 112 7 8 12 6 2 113 9 7 13 7 4 114 10 7 11 5 4 116 10 3 11 6 4 116 10 2 7 7 4 118 9 2 7 10 4 123 9 1 7 10 4 123 10 1 7 9 4 124 10 0 6 8 4 133 10 0 6 10 4 140 10 2 6 10 4 145 10 9 8 16 4 147 10 20 8 18 4 140 11 20 8 18 4 133 12 21 8 18 4 127 12 18 6 12 4 027 11 7 5 10 4 026 11 7 3 10 4 024 10 4 3 10 4 020 10 0 9 10 4 016 8 1 9 9 4 016 8 5 9 10 5 016 10 5 9 11 4 016 10 5 3 11 4 016 9 5 3 12 4 016 8 1 3 9 4 016 9 1 3 10 4 018 11 1 3 10 4 017 11 1 3 9 4 017 14 1 3 8 5 017 14 1 4 7 5 014 17 1 4 6 5 014 21 1 3 7 5 012 21 1 5 8 7 012 23 1 4 7 8 012 23 1 4 7 12 0

    Abbreviation Trait category Number of QTL/significancesL Leaf 441M Maturity 401P Panicle 1660AB Resistance abiotic 1753BR Resistance biotic 388SC Stem composition 421SM Stem morphology 750

    QC

    ldEmer9.11

    QBrix9.1

    QD

    BMsA9.1

    QPanBrLg9.3

    New

    13

    QC

    ldChl9.25

    QC

    ldChl9.26

    New

    80

    New

    679

    New

    705

    New

    1690

    New

    1689

    QSTKR

    9.1

    QSTKR

    9.2

    QSTKR

    9.3

    QSTKR

    9.4

    QH

    gt9.9

    QH

    gt9.10

    QSTKR

    9.5

    QSTKR

    9.6

    QC

    ldEmer9.12

    QC

    ldEmer9.13

    QC

    ldDM

    GR

    9.17

    QC

    ldChl9.27

    New

    1556

    QSalt_W

    gt9.1

    QSalt_W

    gt9.2

    QSD

    W9.4

    New

    495

    QH

    gt9.13 QSTKR9.7

    QG

    rnWgt9.5

    QH

    gt9.14

    QPanLgth9.4

    QH

    gt9.15

    QH

    gt9.16

    QH

    gt9.17

    QH

    gt9.18

    QH

    gt9.19

    QH

    gt9.20

    New

    1645

    New

    1653 QStJYld9.1

    QH

    gt9.21

    QH

    gt9.22

    QH

    gt9.23

    QBrix9.2

    New

    1596

    New

    799

    QH

    gt9.24

    QH

    gt9.25

    QH

    gt9.26

    QH

    gt9.27

    QH

    gt9.28

    QH

    gt9.29

    QH

    gt9.30

    QH

    gt9.31

    QH

    gt9.32

    QH

    gt9.33

    QSTKR

    9.8

    QSTKR

    9.9

    QH

    gt9.70

    QH

    gt9.34

    QH

    gt9.35

    QH

    gt9.36

    QH

    gt9.37

    QH

    gt9.38

    QH

    gt9.39

    QH

    gt9.40

    QH

    gt9.41

    QG

    rnPrA9.5

    QG

    rnPrA9.6

    QPanW

    gt9.4

    QH

    gt9.42

    QH

    gt9.43

    QH

    gt9.44

    QPanLgth9.5

    QSTKR

    9.10

    QSTKR

    9.11

    QSTKR

    9.12

    QSTKR

    9.13

    New

    971

    New

    1104

    QG

    rnPrA9.7

    QH

    gt9.71

    QG

    rnPrA9.8

    QG

    rnPrA9.9

    QSTKR

    9.14

    QSTKR

    9.15

    QSTKR

    9.16

    QG

    rnPrA9.10

    QSTKR

    9.17

    QSTKR

    9.18

    QSTKR

    9.19

    QSTKR

    9.20

    QSTKR

    9.21

    QSTKR

    9.22

    QSTKR

    9.23

    QSTKR

    9.24

    QSTKR

    9.25

    QSTKR

    9.26

    QSTKR

    9.27

    QG

    rnPrA9.11

    QG

    rnPrA9.12

    QH

    gt9.45

    QPanW

    gt9.2

    QG

    rnWgt9.4

    QH

    gt9.46

    QH

    gt9.47

    QYld9.3

    QYld9.4

    QPanW

    th9.2

    QH

    gt9.48

    QD

    BMsB9.1

    QBrix9.3

    QH

    gt9.49

    QSTKR

    9.28

    QSTKR

    9.29

    QSTKR

    9.30

    QSugYld9.3

    QStJYld9.2

    QH

    gt9.64

    QH

    gt9.65

    QH

    gt9.66

    QH

    gt9.67

    QG

    LA9.3

    QSTKR

    9.31

    QSTKR

    9.32

    QSTKR

    9.33

    QSTKR

    9.34

    QH

    gt9.50 QHgt9.51

    QG

    LA9.4

    QH

    gt9.52

    QSD

    W9.6

    New

    972

    New

    1105

    New

    1169

    New

    973

    New

    1106

    New

    1170

    QTN

    9.7

    New

    1496

    New

    1497

    New

    1498

    QTN

    9.8

    QD

    TFl9.34

    QD

    TFl9.35

    QSTKR

    9.35

    QSTKR

    9.36

    QSTKR

    9.37

    QSTKR

    9.38

    QH

    gt9.72

    QPanExr9.2

    QSD

    W9.7

    New

    1583

    QH

    gt9.73

    QPanExr9.3

    QSFW

    9.3

    QStJYld9.3

    QH

    gt9.53

    QG

    rnPrA9.13

    QD

    TFl9.18

    QH

    gt9.54

    QH

    gt9.55

    QH

    gt9.56

    QH

    gt9.57

    QH

    gt9.58 New552

    QSFW

    9.4

    QM

    dgAN9.1

    QH

    rvYld9.1

    QH

    gt9.59 New

    416 QVYld9.1

    QVYld9.2

    QH

    rvYld9.2

    QD

    BMsA9.2

    QD

    BMsA9.3

    QG

    rnPrA9.14

    Height (Dw1) Stalk rot resistance Tillering Maturity

    23 QTL studies16 GWAS studiesDO

    NOT

    COP

    Y

  • • What other QTL are nearby my trait of interest that could be effected by any selection I apply?

    • In what populations have QTL for my trait(s) of interest been identified?

    • How often has a particular QTL been identified in other studies/populations?

    • What is the largest effect size QTL that has been identified for my trait(s) of interest?

    • How many GWAS studies versus standard QTL mapping studies have been undertaken for my trait of interest?

    • Which genes are within the QTL CI for my target trait in sorghum and also in the syntenic locations in maize and rice?

    QTL atlas we have developed will enable researchers to answer the following sorts of questions:

    DO N

    OT C

    OPY

  • Study Number of QTL Population Analysis Burrell et al 2015 2 BTx623/SC748-5 QTLFelderhoff et al 2016 2 Bk7/Early-Hegari-Sart QTLKlein et al 2001 1 RTx430/Sureno QTLMohan et al 2010 4 296B/IS18551 QTLPerumal et al 2009 1 SC748-5/BTx623 QTLUpadhyaya et al 2013 8 mini-core set GWAS

    Anthracnose resistance

    DO N

    OT C

    OPY

  • Tb1Sh1

    Ma3Y

    QAnth1.1

    QAnth1.2

    QAnth1.3

    QAnth1.4

    SBI-01

    Rf2

    B2

    Z

    Ma5

    SBI-02

    Pla

    R

    AltSBms3

    A

    SBI-03

    bmr6

    QAnth4.1

    SBI-04

    opr

    lgs

    QAnth5.2

    QAnth5.3

    QAnth5.1

    SBI-05

    Ma6

    Ma1

    dw2

    gc

    d

    Rs1

    Lg

    P

    QAnth6.1

    QAnth6.2

    QAnth6.3

    QAnth6.4

    QAnth6.5

    QAnth6.6

    SBI-06

    bmr12

    I

    dw3

    QAnth7.1

    SBI-07

    Pu

    Rf1

    Shs1

    QAnth8.1

    SBI-08

    Dw1

    QAnth9.1

    SBI-09

    bmrlf

    wxma4Rs2

    Trit

    QAnth10.1

    SBI-10

    DO N

    OT C

    OPY

  • Tb1Sh1

    Ma3Y

    QAnth1.1

    QAnth1.2

    QAnth1.3

    QAnth1.4

    SBI-01

    Rf2

    B2

    Z

    Ma5

    SBI-02

    Pla

    R

    AltSBms3

    A

    SBI-03

    bmr6

    QAnth4.1

    SBI-04

    opr

    lgs

    QAnth5.2

    QAnth5.3

    QAnth5.1

    SBI-05

    Ma6

    Ma1

    dw2

    gc

    d

    Rs1

    Lg

    P

    QAnth6.1

    QAnth6.2

    QAnth6.3

    QAnth6.4

    QAnth6.5

    QAnth6.6

    SBI-06

    bmr12

    I

    dw3

    QAnth7.1

    SBI-07

    Pu

    Rf1

    Shs1

    QAnth8.1

    SBI-08

    Dw1

    QAnth9.1

    SBI-09

    bmrlf

    wxma4Rs2

    Trit

    QAnth10.1

    SBI-10

    One of oldest and largest gene families known in plants. Involved in detection and response to diverse pathogens (bacteria, viruses, fungi, nematodes,

    insects and oomycetes)

    DO N

    OT C

    OPY

  • Tb1Sh1

    Ma3Y

    QAnth1.1

    QAnth1.2

    QAnth1.3

    QAnth1.4

    SBI-01

    Rf2

    B2

    Z

    Ma5

    SBI-02

    Pla

    R

    AltSBms3

    A

    SBI-03

    bmr6

    QAnth4.1

    SBI-04

    opr

    lgs

    QAnth5.2

    QAnth5.3

    QAnth5.1

    SBI-05

    Ma6

    Ma1

    dw2

    gc

    d

    Rs1

    Lg

    P

    QAnth6.1

    QAnth6.2

    QAnth6.3

    QAnth6.4

    QAnth6.5

    QAnth6.6

    SBI-06

    bmr12

    I

    dw3

    QAnth7.1

    SBI-07

    Pu

    Rf1

    Shs1

    QAnth8.1

    SBI-08

    Dw1

    QAnth9.1

    SBI-09

    bmrlf

    wxma4Rs2

    Trit

    QAnth10.1

    SBI-10

    • Co-locating QTL for anthracnose resistance from same source (SC748-5) across 2 studies

    • Co-locating with known NBS-LRR genes• Very near major effect gene for striga

    resistance (lgs)• Highly significant (LOD>20 and R2 72%

    in Burrell et al 2015)

    DO N

    OT C

    OPY

  • Tb1Sh1

    Ma3Y

    QAnth1.1

    QAnth1.2

    QAnth1.3

    QAnth1.4

    SBI-01

    Rf2

    B2

    Z

    Ma5

    SBI-02

    Pla

    R

    AltSBms3

    A

    SBI-03

    bmr6

    QAnth4.1

    SBI-04

    opr

    lgs

    QAnth5.2

    QAnth5.3

    QAnth5.1

    SBI-05

    Ma6

    Ma1

    dw2

    gc

    d

    Rs1

    Lg

    P

    QAnth6.1

    QAnth6.2

    QAnth6.3

    QAnth6.4

    QAnth6.5

    QAnth6.6

    SBI-06

    bmr12

    I

    dw3

    QAnth7.1

    SBI-07

    Pu

    Rf1

    Shs1

    QAnth8.1

    SBI-08

    Dw1

    QAnth9.1

    SBI-09

    bmrlf

    wxma4Rs2

    Trit

    QAnth10.1

    SBI-10

    R2=10.3%LOD = 3.8

    R2=8.6%LOD = 3.2

    R2=6.9%LOD = 3.1

    R2=39.5%LOD = 12.5 R2=55.1%

    LOD = 20.3

    R2=35%-log10P = 20.3

    R2=54%-log10P = 9.3

    DO N

    OT C

    OPY

  • Tb1Sh1

    Ma3Y

    QAnth1.1

    QAnth1.2

    QAnth1.3

    QAnth1.4

    SBI-01

    Rf2

    B2

    Z

    Ma5

    SBI-02

    Pla

    R

    AltSBms3

    A

    SBI-03

    bmr6

    QAnth4.1

    SBI-04

    opr

    lgs

    QAnth5.2

    QAnth5.3

    QAnth5.1

    SBI-05

    Ma6

    Ma1

    dw2

    gc

    d

    Rs1

    Lg

    P

    QAnth6.1

    QAnth6.2

    QAnth6.3

    QAnth6.4

    QAnth6.5

    QAnth6.6

    SBI-06

    bmr12

    I

    dw3

    QAnth7.1

    SBI-07

    Pu

    Rf1

    Shs1

    QAnth8.1

    SBI-08

    Dw1

    QAnth9.1

    SBI-09

    bmrlf

    wxma4Rs2

    Trit

    QAnth10.1

    SBI-10

    Genetic architecture of the trait• Number of QTL/significant SNPs• Distribution• Significance/effect size• Sources of resistance

    DO N

    OT C

    OPY

  • Tb1Sh1

    Ma3Y

    QAnth1.1

    QAnth1.2

    QAnth1.3

    QAnth1.4

    SBI-01

    Rf2

    B2

    Z

    Ma5

    SBI-02

    Pla

    R

    AltSBms3

    A

    SBI-03

    bmr6

    QAnth4.1

    SBI-04

    opr

    lgs

    QAnth5.2

    QAnth5.3

    QAnth5.1

    SBI-05

    Ma6

    Ma1

    dw2

    gc

    d

    Rs1

    Lg

    P

    QAnth6.1

    QAnth6.2

    QAnth6.3

    QAnth6.4

    QAnth6.5

    QAnth6.6

    SBI-06

    bmr12

    I

    dw3

    QAnth7.1

    SBI-07

    Pu

    Rf1

    Shs1

    QAnth8.1

    SBI-08

    Dw1

    QAnth9.1

    SBI-09

    bmrlf

    wxma4Rs2

    Trit

    QAnth10.1

    SBI-10Additional information critical for molecular breeding strategy development• Proximity to known disease resistance genes• Proximity to major effect genes• Proximity to large effect QTL for other traits

    DO N

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  • Tb1Sh1

    Ma3Y

    QAnth1.1

    QAnth1.2

    QAnth1.3

    QAnth1.4

    SBI-01

    Rf2

    B2

    Z

    Ma5

    SBI-02

    Pla

    R

    AltSBms3

    A

    SBI-03

    bmr6

    QAnth4.1

    SBI-04

    opr

    lgs

    QAnth5.2

    QAnth5.3

    QAnth5.1

    SBI-05

    Ma6

    Ma1

    dw2

    gc

    d

    Rs1

    Lg

    P

    QAnth6.1

    QAnth6.2

    QAnth6.3

    QAnth6.4

    QAnth6.5

    QAnth6.6

    SBI-06

    bmr12

    I

    dw3

    QAnth7.1

    SBI-07

    Pu

    Rf1

    Shs1

    QAnth8.1

    SBI-08

    Dw1

    QAnth9.1

    SBI-09

    bmrlf

    wxma4Rs2

    Trit

    QAnth10.1

    SBI-10

    lgs

    New

    796

    New

    92

    New

    98 QD

    TFl5.14

    QD

    TFl5.15

    QC

    ldLAR5.8

    QC

    ldLAR5.9

    QC

    ldLAR5.10

    QC

    ldChl5.31

    QC

    ldChl5.32

    New

    885

    New

    886 QTN5.7

    MaturityGrain yieldLeaf appearance rate Chlorophyll contentTranspiration rateTillering

    QTL co-locating with the anthracnose QTL on SBI-05

    Additional information critical for molecular breeding strategy development• Proximity to known disease resistance genes• Proximity to major effect genes• Proximity to large effect QTL for other traits

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  • • What other QTL are nearby my trait of interest that could be effected by any selection I apply?

    • In what populations have QTL for my trait(s) of interest been identified?

    • How often has a particular QTL been identified in other studies/populations?

    • What is the largest effect size QTL that has been identified for my trait(s) of interest?

    • How many GWAS studies versus standard QTL mapping studies have been undertaken for my trait of interest?

    • Which genes are within the QTL CI for my target trait in sorghum and also in the syntenic locations in maize and rice?

    QTL atlas we have developed will enable researchers to answer the following sorts of questions:

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  • QTL database resource developed to enable researchers to answer the following sorts of questions:

    • Which genes are within the QTL CI for my target trait in sorghum and also in the syntenic locations in maize and rice?

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  • QTL database resource developed to enable researchers to answer the following sorts of questions:

    Target QTL location in sorghum

    Syntenic location in maize and rice

    • Which genes are within the QTL CI for my target trait in sorghum and also in the syntenic locations in maize and rice?

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  • • What other QTL are nearby my trait of interest that could be effected by any selection I apply?

    • How many QTL have been identified for my trait(s) of interest in a specific genotype?

    • In what populations have QTL for my trait(s) of interest been identified?

    • What is the largest effect size QTL that has been identified for my trait(s) of interest?

    • How many highly significant QTL have been identified for my trait(s) of interest?

    • How many GWAS studies versus standard QTL mapping studies have been undertaken for my trait of interest?

    • Which genes are within the QTL CI for my target trait in sorghum and also in the syntenic locations in maize and rice?

    • How often has a particular QTL been identified in other studies/populations?

    QTL database resource developed to enable researchers to answer the following sorts of questions:

    Syntenic location in maize and rice

    Identify all predicted gene models in QTL CI in maize and rice

    Linking to whole genome assembly resources for both species

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  • • What other QTL are nearby my trait of interest that could be effected by any selection I apply?

    • How many QTL have been identified for my trait(s) of interest in a specific genotype?

    • In what populations have QTL for my trait(s) of interest been identified?

    • What is the largest effect size QTL that has been identified for my trait(s) of interest?

    • How many highly significant QTL have been identified for my trait(s) of interest?

    • How many GWAS studies versus standard QTL mapping studies have been undertaken for my trait of interest?

    • Which genes are within the QTL CI for my target trait in sorghum and also in the syntenic locations in maize and rice?

    • How often has a particular QTL been identified in other studies/populations?

    QTL database resource developed to enable researchers to answer the following sorts of questions:

    Os03g20020Os03g19990Os03g19970Os03g19940Os03g19920Os03g19900Os03g19890Os03g19820Os03g19780Os03g19760Os03g19720Os03g19700Os03g19690Os03g19670PhyBOs03g19580Os03g19540Os03g19520Os03g19410Os03g19380Os03g19370Os03g19310Os03g19300Os03g19290

    Sobic.001G391600Sobic.001G392000Sobic.001G392100Sobic.001G392200Sobic.001G392300Sobic.001G392400Sobic.001G392600Sobic.001G392700Sobic.001G392800Sobic.001G393000Sobic.001G393200Sobic.001G393300Sobic.001G393401Sobic.001G393500Sobic.001G393600Sobic.001G393700Sobic.001G393900Sobic.001G394000PhyB Sobic.001G394600Sobic.001G394800Sobic.001G394900Sobic.001G395000Sobic.001G395100Sobic.001G395200Sobic.001G395500Sobic.001G395600Sobic.001G395700Sobic.001G395900Sobic.001G396000Sobic.001G396100Sobic.001G396300Sobic.001G396400Sobic.001G396500Sobic.001G396600Sobic.001G396700Sobic.001G396800Sobic.001G396900

    GRMZM2G084940GRMZM2G385931GRMZM2G030794GRMZM2G317160GRMZM2G018941GRMZM2G550861

    GRMZM2G008490

    GRMZM2G089720GRMZM2G135968

    PhyB

    GRMZM2G013639GRMZM2G422295 GRMZM2G422295GRMZM2G011483

    GRMZM2G140432GRMZM2G301823GRMZM2G038015

    GRMZM2G383790 GRMZM2G383790GRMZM2G084389

    48,8

    76,6

    94 –

    51,3

    18,9

    93

    10,8

    48,4

    74 –

    11,2

    83,3

    40

    Identify all predicted gene models in QTL CI in maize and rice

    Maize chromosome 1Rice chromosome 3

    Genes within the predicted location of the QTL in riceand maize

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  • • What other QTL are nearby my trait of interest that could be effected by any selection I apply?

    • How many QTL have been identified for my trait(s) of interest in a specific genotype?

    • In what populations have QTL for my trait(s) of interest been identified?

    • What is the largest effect size QTL that has been identified for my trait(s) of interest?

    • How many highly significant QTL have been identified for my trait(s) of interest?

    • How many GWAS studies versus standard QTL mapping studies have been undertaken for my trait of interest?

    • Which genes are within the QTL CI for my target trait in sorghum and also in the syntenic locations in maize and rice?

    • How often has a particular QTL been identified in other studies/populations?

    QTL database resource developed to enable researchers to answer the following sorts of questions:

    Os03g20020Os03g19990Os03g19970Os03g19940Os03g19920Os03g19900Os03g19890Os03g19820Os03g19780Os03g19760Os03g19720Os03g19700Os03g19690Os03g19670PhyBOs03g19580Os03g19540Os03g19520Os03g19410Os03g19380Os03g19370Os03g19310Os03g19300Os03g19290

    Sobic.001G391600Sobic.001G392000Sobic.001G392100Sobic.001G392200Sobic.001G392300Sobic.001G392400Sobic.001G392600Sobic.001G392700Sobic.001G392800Sobic.001G393000Sobic.001G393200Sobic.001G393300Sobic.001G393401Sobic.001G393500Sobic.001G393600Sobic.001G393700Sobic.001G393900Sobic.001G394000PhyB Sobic.001G394600Sobic.001G394800Sobic.001G394900Sobic.001G395000Sobic.001G395100Sobic.001G395200Sobic.001G395500Sobic.001G395600Sobic.001G395700Sobic.001G395900Sobic.001G396000Sobic.001G396100Sobic.001G396300Sobic.001G396400Sobic.001G396500Sobic.001G396600Sobic.001G396700Sobic.001G396800Sobic.001G396900

    GRMZM2G084940GRMZM2G385931GRMZM2G030794GRMZM2G317160GRMZM2G018941GRMZM2G550861

    GRMZM2G008490

    GRMZM2G089720GRMZM2G135968

    PhyB

    GRMZM2G013639GRMZM2G422295 GRMZM2G422295GRMZM2G011483

    GRMZM2G140432GRMZM2G301823GRMZM2G038015

    GRMZM2G383790 GRMZM2G383790GRMZM2G084389

    Identify all predicted gene models in QTL CI in maize and rice

    The atlas provides links to external resources to further interrogate the genes in rice and maize

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  • • What other QTL are nearby my trait of interest that could be effected by any selection I apply?

    • How many QTL have been identified for my trait(s) of interest in a specific genotype?

    • In what populations have QTL for my trait(s) of interest been identified?

    • What is the largest effect size QTL that has been identified for my trait(s) of interest?

    • How many highly significant QTL have been identified for my trait(s) of interest?

    • How many GWAS studies versus standard QTL mapping studies have been undertaken for my trait of interest?

    • Which genes are within the QTL CI for my target trait in sorghum and also in the syntenic locations in maize and rice?

    • How often has a particular QTL been identified in other studies/populations?

    QTL database resource developed to enable researchers to answer the following sorts of questions:

    Identify all predicted gene models in maize and riceIdentify which genes within the QTL CI are under selection in sorghum, maize and rice

    Previously published studies identifying genes under selection

    SorghumRice Maize

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  • The utility of comparative genomics

    Take advantage of known gene order conservation (synteny)

    QTL

    >4x as many QTL and GWAS studies in rice and maize compared to sorghum

    • Make use of information gained in other species• Compare locations of QTL for specific traits

    across species• Compare genes underlying QTL across species

    • Functional characterisation in other species • Selection signals on the same gene in other

    species

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  • • What other QTL are nearby my trait of interest that could be effected by any selection I apply?

    • In what populations have QTL for my trait(s) of interest been identified?

    • How often has a particular QTL been identified in other studies/populations?

    • What is the largest effect size QTL that has been identified for my trait(s) of interest?

    • How many GWAS studies versus standard QTL mapping studies have been undertaken for my trait of interest?

    • Which genes are within the QTL CI for my target trait in sorghum and also in the syntenic locations in maize and rice?

    QTL atlas we have developed will enable researchers to answer the following sorts of questions:

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  • Why have we developed a QTL Atlas?How users can access the Atlas?

    https://aussorgm.org.au/sorghum-qtl-atlas/

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  • 223 unique traits have been classified into 7 broad trait categories, modified from Mace and Jordan (2011): • Leaf• Maturity• Panicle• Resistance abiotic• Resistance biotic• Stem composition• Stem morphology DO

    NOT

    COP

    Y

  • 223 unique traits have been classified into 7 broad trait categories, modified from Mace and Jordan (2011): • Leaf• Maturity• Panicle• Resistance abiotic• Resistance biotic• Stem composition• Stem morphology

    Leaf Age-related leaf sensecence Leaf composition Leaf morphology Leaf yield Photosynthesis Stomata Sugar-related traits

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  • 223 unique traits have been classified into 7 broad trait categories, modified from Mace and Jordan (2011): • Leaf• Maturity• Panicle• Resistance abiotic• Resistance biotic• Stem composition• Stem morphology

    Panicle Germination Glume morphology Grain & Panicle Yield Grain Composition Panicle Architecture Pollen Fertility

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  • 223 unique traits have been classified into 7 broad trait categories, modified from Mace and Jordan (2011): • Leaf• Maturity• Panicle• Resistance abiotic• Resistance biotic• Stem composition• Stem morphology

    Resistance abiotic Cold tolerance Drought tolerance Heat tolerance Phosphorus tolerance Salt tolerance

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  • 223 unique traits have been classified into 7 broad trait categories, modified from Mace and Jordan (2011): • Leaf• Maturity• Panicle• Resistance abiotic• Resistance biotic• Stem composition• Stem morphology

    Resistance biotic Anthracnose resistance Aphid resistance Bacterial leaf stripe Drechstera leaf blight resistance Ergot resistance Grain mold resistance Green bug resistance Head bug resistance Leaf scorch Midge resistance Milo disease resistance Rice weevil resistance Rust resistance Shoot fly resistance Southern root-knot nematode resistance Stalk rot resistance Striga resistance Target leaf spot resistance Zonate leaf spot resistance

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  • 223 unique traits have been classified into 7 broad trait categories, modified from Mace and Jordan (2011): • Leaf• Maturity• Panicle• Resistance abiotic• Resistance biotic• Stem composition• Stem morphology

    Stem composition Stem biomass yield Stem composition Sugar-related traits

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  • 223 unique traits have been classified into 7 broad trait categories, modified from Mace and Jordan (2011): • Leaf• Maturity• Panicle• Resistance abiotic• Resistance biotic• Stem composition• Stem morphology

    Stem morphology Height Lodging tolerance Plant colour Regrowth Rhizomatousness Roots Stem morphology Tillering

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  • Version 1.4Version 2.0Version 3.0

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  • cM locations of the sorghum consensus map

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  • Felderhoff

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  • e.g. txp302, Dsenhsbm64, S1_10629136DO N

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  • Users can search for QTL in sorghum based on the syntenic location in either maize or rice

    Users can specify the location in:

    • the maize genome assembly (B73 RefGen_v1; Schnable et al 2009) or

    • the rice genome assembly, O. sativa subsp. japonica (Release 7; Goff et al 2002; Yu et al 2002), or

    • provide a candidate gene ID from either species (e.g. GRMZM2G108663; LOC_Os01g01080.1).

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  • LOC_Os09g26840

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  • Users can further modify their original search to limit to specific populations, publications, genome locations and export the output in a variety of formats

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  • https://aussorgm.org.au/sorghum-qtl-atlas/

    In summary:This is the first database resource that has integrated all existing QTL and GWAS studies for sorghum used parameters from the original studies to take into account factors influencing the reliability of the initial

    QTL study aligned to all current genome assemblies, predicted the syntenic locations in maize and rice, and provided

    links to the underlying genes across species, as well as details of any signatures of selection previously identified.

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  • https://aussorgm.org.au/sorghum-qtl-atlas/

    In summary:The database provides researchers with a new tool to integrate data across multiple studies and types of studies (QTL, GWAS) and across species to compare positions across studies and to determine allelic relationships among QTL. This will allow for: more comprehensive dissection of the genetic architecture of complex traits, identification of suitable targets for molecular breeding strategies

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  • AcknowledgementsConcept David JordanProgramming and database development support David Innes Michael Hassall Jared BaxterHelp with QTL projection Xuemin Wang Yongfu TaoStatistics support Colleen Hunt Adrian Hathorn

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  • https://aussorgm.org.au/sorghum-qtl-atlas/

    @EmmaOmics

    @SorgGuy

    @AusSORGM

    [email protected]

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    Sorghum QTL AtlasSlide Number 2Why have we developed a QTL Atlas?Why have we developed a QTL Atlas?Why have we developed a QTL Atlas?Why have we developed a QTL Atlas?Heterogeneous nature of QTL studies…not all QTL are equalHeterogeneous nature of QTL studies…not all QTL are equalHeterogeneous nature of QTL studies…not all QTL are equalHeterogeneous nature of QTL studies…not all QTL are equalHeterogeneous nature of QTL studies…not all QTL are equalHeterogeneous nature of QTL studies…not all QTL are equalHeterogeneous nature of QTL studies…not all QTL are equalHeterogeneous nature of QTL studies…not all QTL are equalWhy have we developed a QTL Atlas?Why have we developed a QTL Atlas?Why have we developed a QTL Atlas?Why have we developed a QTL Atlas?Slide Number 19Slide Number 20Slide Number 21Slide Number 22Slide Number 23Slide Number 24Slide Number 25Slide Number 26Slide Number 27Slide Number 28Slide Number 29Slide Number 30Slide Number 31Slide Number 32Slide Number 33Slide Number 34Slide Number 35Slide Number 36Slide Number 37Slide Number 38Slide Number 39Slide Number 40Slide Number 41Slide Number 42Slide Number 43The utility of comparative genomicsSlide Number 45Slide Number 46Slide Number 47Slide Number 48Slide Number 49Slide Number 50Slide Number 51Slide Number 52Slide Number 53Slide Number 54Slide Number 55Slide Number 56Slide Number 57Slide Number 58Slide Number 59Slide Number 60Slide Number 61Slide Number 62Slide Number 63Slide Number 64Slide Number 65Slide Number 66Slide Number 67Slide Number 68Slide Number 69Slide Number 70Slide Number 71Slide Number 72Slide Number 73Slide Number 74Slide Number 75Slide Number 76Slide Number 77Slide Number 78Slide Number 79Slide Number 80Slide Number 81AcknowledgementsSlide Number 83