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Table 3 QTL associated with sheath blight (ShB) tolerance in the Rice Diversity Panel 1 (RDP1), arranged in chromosomal order to indicate when a QTL region associated with more than one trait

From: Assessment of Rice Sheath Blight Resistance Including Associations with Plant Architecture, as Revealed by Genome-Wide Association Studies

QTL

Chr

Start of QTL region (bp)

End of QTL region (bp)

QTL size (bp)

Peak SNP (bp)a

-log10(p)

Traitb

Study location, yearc

Paneld

Refer-ence allelee

Reference allele effecte

Candidate gene(s)

MSU IDf

Gene symbol(s)g or name(s)

Citation

qShB1

1

3650475

6013771

2363296

3852467

5.35

ShB-field

AR17

AUS

C

− 1.03

LOC_Os01g08710

OsWRKY102

Pooja et al. (2015)

qShB2

2

23195252

24805469

1610217

24095212

5.58

ShB-DI

NC-gh

INDAUS

C

0.51

LOC_Os02g39330

CHITINASE 6

Nakazaki et al. (2006)

qShB3-1

3

7054964

9262436

2207472

7210477

5.83

ShB-field

AR17

TRJ

T

− 0.92

LOC_Os03g13210

POXN

Gupta et al. (2012)

↓

           

LOC_Os03g13820

OsRLCK105

Vij et al. (2008)

↓

           

LOC_Os03g14000

OsACBP5

Liao et al. (2020), Panthapulakkal Narayanan et al. (2019)

qShB3-2

3

14819510

22780248

7960738

15552510

5.58

ShB-DI

AR-gh

JAP

T

0.77

LOC_Os03g27120

OsMC1

Wang and Zhang (2014), Huang et al. (2015)

↓

    

17960988

9.57

ShB-DI

AR-gh

TRJ

A

− 0.94

LOC_Os03g27170

OsMC3

Wang and Zhang (2014), Huang et al. (2015)

↓

    

19749554

6.12

ShB-field

AR16

TEJ

C

0.86

LOC_Os03g27190

OsMC8

Wang and Zhang (2014), Huang et al. (2015)

↓

           

LOC_Os03g27210

OsMC2

Wang and Zhang (2014), Huang et al. (2015)

↓

           

LOC_Os03g28940

TIFY10A

Shimizu et al. (2013)

↓

           

LOC_Os03g32314

OsAOC

Yoeun et al. (2018), Yu et al. (2020)

↓

           

LOC_Os03g33012

OsWRKY33

Shi et al. (2020)

qShB3-3

3

31569875

35543780

3973905

32191693

5.20

ShB-field

ARall

INDAUS

C

1.16

LOC_Os03g56820

FAH2

Nagano et al. (2016)

↓

    

34808860

5.41

ShB-field

ARall

AUS

A

− 0.71

LOC_Os03g60710

OsRLCK118

Li et al. (2017)

qShB4-1

4

4302304

7036317

2734013

4352304

5.21

ShB-field

ARall

AUS

G

− 0.72

LOC_Os04g10060

OsKS4

Park et al. (2012)

qShB4-2

4

13238768

16035378

2796610

13889641

5.75

ShB-field

NC18

395

T

0.46

LOC_Os04g24220

OsWAK32

Yuan et al. (2018)

↓

           

LOC_Os04g24510

OsWAK36

Yuan et al. (2018), Zhang et al. (2005)

↓

           

LOC_Os04g27860

OsRPS27

Saha et al. (2017)

qShB4-3

4

29559997

31797355

1961020

31471017

6.23

ShB-field

AR17

TRJ

G

− 0.94

LOC_Os04g51460

OsXET9

Dong et al. (2011)

qShB6-1

6

6804694

8440362

1635668

8112438

6.37

ShB-field

ARall

JAP

T

− 0.48

LOC_Os06g14540

GH9B3

Huang et al. (2019)

qShB6-2

6

21393533

24656415

3262882

23884567

5.67

ShB-DI

AR-gh

TRJ

C

− 0.67

LOC_Os06g40790

OsMLO7

Nguyen et al. (2016)

↓

           

LOC_Os06g41010

OsSAP1

de Freitas et al. (2019)

qShB7

7

22723331

25791908

3068577

25286267

5.54

ShB-field

ARall

TRJ

G

− 0.83

LOC_Os07g42370

TIFY10B

Ye et al. (2009)

qShB8-1

8

17404835

19452954

2048119

19393988

6.02

ShB-DI

NC-gh

AUS

A

0.96

LOC_Os08g29660

OsWRKY69

Berri et al. (2009), Choi et al. (2017)

qShB8-2

8

26787346

28440581

1653235

28417969

7.41

ShB-DI

NC-gh

AUS

A

− 0.81

LOC_Os08g42580

OsCERK1

Carotenuto et al. (2017)

↓

           

LOC_Os08g42700

PIBH8

Wang et al. (2001)

↓

           

LOC_Os08g44400

OsGRX20

Ning et al. (2018)

↓

           

LOC_Os08g44480

OsRPS25

Saha et al. (2017)

qShB9

9

21000812

22806305

1805493

21159446

5.96

ShB-DI

NC-gh

INDAUS

C

− 0.42

LOC_Os09g37006

OsAlba7

Verma et al. (2018)

↓

           

LOC_Os09g37270

OsRacGEF2

Akamatsu et al. (2015)

↓

           

LOC_Os09g39910

OsABC9

Oh et al. (2021)

qShB10

10

6072028

10023439

3951411

7584959

6.28

ShB-field

AR17

TRJ

C

− 0.92

LOC_Os10g11500

PR1-101

Mitsuhara et al. (2008)

↓

           

LOC_Os10g11980

OsAT1

Mori et al. (2007)

↓

           

LOC_Os10g13550

IREN

Ootsubo et al. (2016)

qShB11-1

11

8996571

12711977

3715406

10435614

5.36

ShB-DI

AR-gh

JAP

C

− 0.85

LOC_Os11g17380

OsRLCK321

Vij et al. (2008)

qShB11-2

11

16919914

19065774

2145860

17974233

5.39

ShB-DI

NC-gh

IND

C

1.03

LOC_Os11g31190

SWEET14

Blanvillain-Baufume et al. (2017)

qShB12

12

16108674

17979174

1870500

17674629

6.40

ShB-DI

AR-gh

AUS

G

− 0.95

LOC_Os12g29220

SWEET13

Liu et al. (2011)

↓

           

LOC_Os12g29430

OsWAK125

Dixit et al. (2015), Zhang et al. (2005)

↓

           

LOC_Os12g32820

OsABC12

Oh et al. (2021)

  1. aO. sativa SNPs are identified by their physical location based on the Os-Nipponbare-Reference-IRGSP-1.0 assembly (Kawahara et al. 2013)
  2. bSheath blight severity was rated (0 = resistant, 9 = severe) using both field (ShB-field) and microchamber (ShB-DI) studies. The field studies in Arkansas had two replications each year and the field study in China and the microchamber studies each had three replications
  3. cAR16 and AR17 indicates GWA-mapping used trait BLUPs calculated across two replications evaluated in Arkansas, USA in 2016 and 2017, respectively, while ARall indicates BLUPs calculated across both years, and NC18 indicates BLUP data were from the single-year study with three replications conducted in Nanning, China in 2018
  4. dPanels are defined as the complete Rice Diversity Panel 1 (395) and subpopulation groups, tropical japonica (TRJ), temperate japonica (TEJ), aus (AUS) and indica (IND). The two O. sativa subspecies Indica (INDAUS) comprised of IND and AUS and Japonica (JAP) comprised of TEJ and TRJ. QTL were often identified in GWA-mapping of more than one population (e.g., in INDAUS and AUS); the table presents the results based on the least-complex population in which the QTL was found significant
  5. eReference allele based on the Os-Nipponbare-Reference-IRGSP-1.0 assembly (Kawahara et al. 2013). A negative allele effect at a ShB locus reflects reduced disease severity, or increased tolerance
  6. fMSU ID is the Rice Genome Annotation Project locus identified for the candidate gene (Kawahara et al. 2013)
  7. gGene nomenclature followed the standardized nomenclature for rice genes used in Oryzabase (Yamazaki et al. 2010)