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Table 1 Genetic diversity within sampled populations of Ulmus laevis in Switzerland and Europe based on 5 microsatellite loci

From: Genetic structure of the European white elm (Ulmus laevis Pall., Ulmaceae) in Switzerland

Site ID

Location

n

sM

MPI

Na

Ne

Ar

Np

Ho

He

FIS

CH_RoYvo

Yvorne

5

0,0092

2.4

1.81

2.10

0

0.560

0.489

 − 0.055

CH_LNGra

Grandson-Concise

13

0,0004

3.6

2.82

3.1

0

0.692

0.604

 − 0.117

CH_LNCon

Concise-Vaumarcus

12

0,0005

3.4

2.78

3.00

0

0.765

0.633

 − 0.240

CH_LNMar

Marin-Epagnier

13

0,0005

3.6

2.70

3.00

0

0.646

0.614

 − 0.041

CH_LNCud

Cudrefin

9

0,0009

3.6

2.48

3.03

0

0.533

0.565

 − 0.044

CH_LMGre

Grengspitz

12

0,0036

3.2

2.00

2.61

0

0.483

0.496

 − 0.072

CH_LMFao

Faoug

13

0,0023

3.4

2.10

2.73

0

0.554

0.529

 − 0.141

CH_LBSut

Sutz-Nidau

11

0,0029

2.8

2.18

2.46

0

0.545

0.537

0.037

CH_SaFri

Fribourg-Rossens

12

0,0025

3.4

2.1

2.72

0

0.468

0.529

0.07

CH_SaBro

Broc-Grandvillard

13

0,0017

3.4

2.23

2.71

0

0.615

0.564

 − 0.088

CH_AaMue

Münsingen-Belp

12

2

0,0016

3.2

2.45

2.75

0

0.667

0.528

 − 0.249

CH_AaUtt

Uttigen-Kiesen

13

0,0023

3.2

2.20

2.69

0

0.600

0.511

 − 0.134

CH_TSInt

Interlaken

3

NA

NA

NA

NA

NA

NA

NA

CH_AaAar

Aarberg

5

0,0006

3.4

2.55

3.09

0

0.600

0.653

 − 0.007

CH_AaBru

Brugg-Aarau

10

0,0015

3.4

2.36

2.75

0

0.640

0.565

 − 0.182

CH_DbDoe

Döltschi Zürich

9

2

0,0354

2.2

1.51

2.04

0

0.311

0.316

 − 0.038

CH_ThBis

Bischofszell

10

2,2

0,0184

2.8

1.66

2.17

0

0.480

0.392

 − 0.159

CH_RhRhe

Rheineck

9

2

0,0044

3.0

2.02

2.52

0

0.550

0.507

 − 0.048

CH_WiLan

Lange-Erlen

10

0,0018

3.4

2.17

2.81

0

0.600

0.544

 − 0.143

FR_ThPul

Pulversheim

13

0,0010

3.6

2.33

2.98

0

0.585

0.567

 − 0.078

FR_RhRhi

Ile de Rhinau

13

0,0036

3.8

2.02

2.65

0

0.508

0.508

 − 0.027

DE_RhOet

Ötigheim

12

0,0026

3.6

2.15

2.73

0

0.567

0.509

 − 0.150

DE_RhKir

Kirrlach

13

0,0029

3.4

2.16

2.61

0

0.569

0.506

 − 0.126

DE_ItEbe

Eberbach

13

0,0024

3.2

2.19

2.62

0

0.585

0.525

 − 0.157

DE_MaElm

Elmuss

13

0,0039

3.6

2.07

2.66

0

0.446

0.457

 − 0.001

DE_DoErn

Ernsgaden

13

0,0008

3.6

2.65

2.99

0

0.508

0.564

0.025

FR_SaGra

Gray

6

0,0031

2.8

2.16

2.60

0

0.500

0.524

 − 0.071

FR_RoGri

Grigny

5

0,0022

2.8

2.24

2.60

0

0.760

0.600

 − 0.322

ES_CcJar

Cáceres Jaraíz

9

2

0,0228

2.0

1.65

1.93

0

0.422

0.378

 − 0.136

ES_SePal

Segovia Palazuelos

10

0,0041

2.8

2.14

2.45

0

0.540

0.489

 − 0.042

PL_WaDeb

Debina

13

0,0031

3.4

2.18

2.64

0

0.477

0.480

 − 0.072

PL_WaRog

Rogalin

13

2

0,0032

4.4

2.06

2.89

2

0.446

0.465

 − 0.037

PL_WiKra

Krakow

5

0,0013

2.8

2.43

2.72

0

0.720

0.613

 − 0.239

HU_DrBar

Barcs

7

2

0,0019

3.2

2.20

2.82

0

0.486

0.554

0.166

CH_Plant

Plantation Lobsigen

19

4.4

2.70

3.14

0

0.621

0.583

 − 0.125

Mean Switzerland

10.21

  

3.2

2.23

2.68

0

0.573

0.532

 − 0.092

Mean Europe

10.00

  

3.3

2.18

2.66

0.133

0.541

0.516

 − 0.084

Total mean

10.11

 

0.0045

3.2

2.21

2.67

0.061

0.558

0.525

 − 0.088

  1. n sample number, sM same multilocus, MPI multilocus probability of identity, Na mean no. of alleles, Ne mean no. of effective alleles, Ar mean allelic richness, Np no. of private alleles, Ho observed heterozygosity, He expected heterozygosity, FIS Inbreeding coefficient. Different colors refer to the country of collection (CH Switzerland, FR France, DE Germany, ES Spain, PL Poland, HU Hungary, and BG Bulgaria). The order mainly follows the water basins starting south to north. Values above the total mean are shown in bold. Only within-population identical genotypes are shown. The plantation values are not included in the means. Due to low population sizes, the Swiss population CH_TSInt was not included in the analysis