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Table 3 SNPs significantly associated with the four plant architecture-related traits and 100-SW across multiple environments

From: Genome-wide association studies of plant architecture-related traits and 100-seed weight in soybean landraces

Traits

Markersa

Chr.

Position

Environmentsb

-log10 (P)

R2(%)

Known QTLsc

PH

AX-90403529

1

56,192,858

2017DT/Mean/BLUP

3.65 ~ 4.2

16.02 ~ 17.32

 

AX-90343633

2

43,898,048

2017DT/BLUP

3.53 ~ 3.54

14.02 ~ 14.57

 

AX-90380587

5

2,724,763

2016JP/2017DT/BLUP

3.74 ~ 4.53

14.05 ~ 18.26

 

AX-90497935

5

2,820,291

2016JP/BLUP

3.53 ~ 3.76

13.3 ~ 14.98

 

AX-90498802

5

2,775,722

2017DT/Mean/BLUP

3.99 ~ 4.61

16.39 ~ 18.53

 

AX-90520578

5

2,727,221

2016JP/2017DT/BLUP

3.74 ~ 4.53

14.05 ~ 18.26

 

AX-90467414

11

1,375,175

2017DT/Mean/BLUP

3.59 ~ 3.99

13.66 ~ 16.41

 

AX-90406013

14

45,923,523

2017DT/Mean/BLUP

4.23 ~ 4.44

16.63 ~ 18.4

 

AX-90335719

15

47,490,299

2017DT/Mean/BLUP

3.52 ~ 4.08

12.5 ~ 15.48

Plant height 26–10

AX-90456181

18

57,800,102

2017DT/BLUP

3.53 ~ 3.57

13.31–14.67

 

AX-90403639

18

44,436,699

2016JP/Mean/BLUP

3.75 ~ 4.49

12.05 ~ 15.05

Plant height 26–14

AX-90466852

18

45,787,667

2016JP/Mean

3.53 ~ 4.56

11.19 ~ 19.21

NN

AX-90387160

7

42,526,322

2016JP/Mean/BLUP

3.81 ~ 4.56

15.1 ~ 19.21

 

AX-90435665

11

25,260,079

2017JP/Mean

3.5 ~ 3.81

14.92 ~ 15.2

 

AX-90436094

11

25,264,410

2017JP/Mean

3.5 ~ 3.81

14.92 ~ 15.2

 

AX-90427317

12

39,270,786

2017JP/Mean

3.7 ~ 3.8

15.2 ~ 15.55

 

AX-90361359

14

45,843,392

2016JP/Mean

3.79 ~ 4.58

15.1 ~ 18.57

 

AX-90453654

14

44,683,373

2016JP/Mean

3.9 ~ 4.56

15.57 ~ 18.48

 

AX-90377223

16

6,762,918

2016JP/Mean

3.79 ~ 4.59

15.12 ~ 18.6

 

AX-90451767

16

6,715,180

2016JP/Mean

3.79 ~ 4.61

15.12 ~ 18.71

 

AX-90475022

16

6,895,355

Mean/BLUP

3.54 ~ 3.91

13.27 ~ 15.61

 

AX-90507356

16

6,751,612

2016JP/Mean

3.77 ~ 4.63

15.02 ~ 18.79

 

AX-90317160

19

38,745,810

2016JP/2017DT/Mean/BLUP

3.55 ~ 4.4

13.35 ~ 17.8

 

AX-90352912

19

45,142,445

2016JP/Mean

4.03 ~ 4.19

16.16 ~ 16.84

 

BN

AX-90389449

6

7,767,192

Mean/BLUP

3.55 ~ 3.98

13.59 ~ 16.39

 

AX-90420194

6

15,358,000

2016JP/Mean

3.61 ~ 3.66

11.5 ~ 11.58

 

AX-90449770

6

48,360,017

2016JP/Mean/BLUP

3.58 ~ 3.66

10.71 ~ 11.51

 

AX-90345457

18

47,321,404

Mean/BLUP

4.29 ~ 4.45

16.47 ~ 18.18

 

DI

AX-90397877

8

3,019,730

Mean/BLUP

3.77 ~ 3.8

14.1 ~ 14.7

 

AX-90460927

10

44,361,012

2016JP/Mean

4.03 ~ 4.08

16.03

 

AX-90488930

18

308,829

2017JP/Mean

3.56 ~ 4.05

13.9 ~ 16.16

 

AX-90511176

18

328,596

2017JP/Mean

3.66 ~ 4.03

14.19 ~ 16.01

 

100-

SW

AX-90483564

3

36,787,728

Mean/BLUP

4.11 ~ 4.42

18.13 ~ 20.04

 

AX-90435834

4

1,402,717

2017JP/BLUP

3.8 ~ 3.96

14.38 ~ 15.51

Seed weight 2–1; Seed weight 47–3

AX-90520043

5

32,154,586

2017JP/2017DT/BLUP

4.87 ~ 5.14

20.42 ~ 21

Seed weight 36–9; Seed weight 37–12

AX-90370125

6

5,791,933

2017JP/2017DT/BLUP

3.88 ~ 4.91

15.34 ~ 19.78

Seed weight-008; Seed weight-011

100-

SW

AX-90305893

7

35,963,868

2017JP/2017DT/BLUP

4.2 ~ 4.42

16.47 ~ 16.81

 

AX-90428268

7

14,899,829

2017JP/2017DT/BLUP

3.52 ~ 3.75

10.97 ~ 11.67

 

AX-90328574

9

39,625,218

2017DT/BLUP

3.98 ~ 4.28

15.04 ~ 16.8

 

AX-90390639

10

4,423,355

2017JP/2017DT/BLUP

3.64 ~ 3.7

13.89 ~ 14.24

Seed weight 34–8

AX-90397611

10

4,455,671

2017JP/2017DT/BLUP

3.77 ~ 3.95

14.67 ~ 15.45

AX-90338196

10

4,366,228

2017JP/2017DT/BLUP

3.5 ~ 3.56

10.47 ~ 11.2

AX-90450721

10

4,397,396

2017JP/2017DT/BLUP

3.57 ~ 3.61

10.76 ~ 11.2

AX-90450778

10

4,426,008

2017JP/2017DT/BLUP

3.7 ~ 3.85

14.47 ~ 15.19

AX-90456677

10

4,365,393

2017JP/2017DT/BLUP

3.5 ~ 3.59

10.46 ~ 11.14

AX-90464016

10

4,376,046

2017JP/2017DT/BLUP

3.57 ~ 3.61

10.76 ~ 11.2

AX-90467603

10

4,363,693

2017JP/2017DT/BLUP

3.5 ~ 3.59

10.46 ~ 11.14

AX-90473871

10

4,426,717

2017JP/2017DT/BLUP

3.86 ~ 3.97

15.06 ~ 15.5

AX-90514209

10

1,523,443

2017JP/BLUP

3.52–3.54

13.27 ~ 13.62

 

AX-90462182

11

15,778,903

2017JP/2017DT/BLUP

4.38 ~ 4.58

15.2 ~ 15.48

Seed weight 36–11; Seed weight 4–1

AX-90463646

14

12,829,279

2017JP/2017DT/BLUP

4.28 ~ 4.51

17.43 ~ 18.23

 

AX-90481424

14

5,733,475

2017DT/BLUP

3.55 ~ 3.58

13.47 ~ 13.82

 

AX-90512978

14

45,661,649

2017JP/2017DT/BLUP

3.6 ~ 4.54

14.11 ~ 18.24

 

AX-90496773

16

1,617,227

2017DT/BLUP

4.27 ~ 4.48

16.25 ~ 17.77

 

AX-90519309

17

4,197,693

2017JP/2017DT/BLUP

3.86 ~ 4.64

15.23 ~ 19.32

 

AX-90336868

18

48,261,812

2017JP/2017DT/BLUP

3.62 ~ 4.0

14.04 ~ 15.44

 

AX-90369283

18

7,017,555

2017JP/2017DT/BLUP

4.37 ~ 4.82

17.49 ~ 18.8

Seed weight 50–4

AX-90350838

19

45,623,416

2017JP/2017DT/BLUP

4.29 ~ 4.41

17.68 ~ 18.24

 

AX-90460297

20

44,288,532

2017JP/2017DT/BLUP

4.31 ~ 4.6

16.93 ~ 17.58

 
  1. aThe significant SNP ID, b 2016JP, 2017JP and 2017DT represent the environments of Jiangpu in 2016, Jiangpu in 2017 and Dangtu in 2017, respectively. c Comparision of trait-marker associations identified in this study with QTLs identified in previous studies. “Mean” represents association mapping with the mean values across three environments, “BLUP” represents association mapping with the BLUP values across three environments