Table 1 Geographic origins, sample sizes, number of genets, number of alleles (NA), number of effective alleles (NEA), Nei’s genotypic diversity index (D) and the value of the first axis of PCA to the environmental variables (PC1) for the 13 Myriophyllum spicatum populations studied.

From: Great influence of geographic isolation on the genetic differentiation of Myriophyllum spicatum under a steep environmental gradient

Populations

Location

Latitude

Longitude

Altitude

Population size (ramets)

Number of genotypes (genets)

NA

NEA

D

PC1

 

QTP

ZB

Zhongba, Xizang

29.6957

84.1284

4569

14

2

33

32.27

0.264

−2.46

AR

Angren, Xizang

29.2085

87.4154

4357

12

9

44

36.176

0.955

−4.247

DR

Dingri, Xizang

28.5824

87.6523

4253

6

5

45

37.772

0.933

−3.203

SZ

Shenzha, Xizang

30.7542

88.7873

4692

18

2

32

30.226

0.111

−4.069

RK

Rikaze, Xizang

29.3245

89.4102

3787

18

11

45

37.702

0.882

−3.616

CM

Cuomai, Xizang

28.7710

91.6686

4626

18

5

36

33.04

0.81

−4.853

GB

Gongbujiangda, Xizang

29.8927

93.4645

3560

20

13

30

25.76

0.926

−2.357

LZ

Linzhi, Xizang

29.6309

94.3825

2990

12

12

53

43.008

1

−0.12

 

YGP

YS

Yongsheng, Yunnan

26.6237

100.6526

1520

20

8

43

40.166

0.805

4.713

DL

Dali, Yunnan

25.6708

100.2109

1954

19

18

73

50.596

0.994

5.495

CJ

Chengjiang, Yunnan

24.6323

102.8828

1735

20

17

75

49.504

0.984

5.793

LB

Leibo, Sichuan

28.4286

103.7854

1134

16

7

44

35.798

0.775

4.97

WN

Weining, Guizhou

26.8383

104.2645

2187

13

13

69

48.146

1

3.954

Mean

      

47.846

38.474

0.803

 

Total

    

206

122

136

34.692

0.987