Table 4 Results from hierarchical analyses of molecular variance (AMOVA) based on pairwise differences, on partial cytochrome-c-oxidase 1 (COI) sequences in Mediterranean Mytilicola intestinalis with mitochondrial Φ-statistic and conventional F-statistic.

From: Global invasion genetics of two parasitic copepods infecting marine bivalves

 

df

SS

VC

% var

p-value

Φ or F-statistic

AMOVA 1: Gulf of Lion (Bouzigues, Istres, Rouet, Cassis) vs. Ligurian Sea (Livorno) vs. Adriatic Sea (Marjan, Malinska)

among groups

2

0.476

−0.00303

−1.22

0.76653

ΦCT = −0.01224

among populations within groups

4

1.671

0.00583

2.35

0.04089

ΦSC = 0.02325

within populations

201

49.199

0.24477

98.87

0.04465

ΦST = 0.01130

total

207

51.346

0.24757

   

AMOVA 1: Gulf of Lion (Bouzigues, Istres, Rouet, Cassis) vs. Ligurian Sea (Livorno) vs. Adriatic Sea (Marjan, Malinska)

among groups

2

0.776

0.00261

1.54

0.20634

FCT = 0.01543

among populations within groups

4

0.931

0.00230

1.36

0.13525

FSC = 0.01378

within populations

201

33.062

0.16449

97.10

0.03040

FST = 0.02899

total

207

34.769

0.16940

   

AMOVA 2: Gulf of Lion (Bouzigues, Istres, Rouet) vs. Ligurian Sea (Cassis, Livorno) vs. Adriatic Sea (Marjan, Malinska)

among groups

2

0.801

0.00094

0.38

0.33257

ΦCT = 0.00378

among populations within groups

4

1.346

0.00309

1.24

0.14168

ΦSC = 0.01247

within populations

201

49.199

0.24477

98.38

0.04802

ΦST = 0.011620

total

207

51.346

0.24880

   

AMOVA 2: Gulf of Lion (Bouzigues, Istres, Rouet) vs. Ligurian Sea (Cassis, Livorno) vs. Adriatic Sea (Marjan, Malinska)

among groups

2

0.887

0.00350

2.07

0.16406

FCT = 0.02069

among populations within groups

4

0.821

0.00137

0.84

0.23287

FSC = 0.00825

within populations

201

33.062

0.16449

97.12

0.03168

FST = 0.02878

total

207

34.769

0.16936

   
  1. Only samples with more than 15 individuals were included; see column Nparasites in Table 1. Abbreviations: df = degrees of freedom; SS = sum of squares; VC = variance component, % var = percentage of variation.