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Table 2 Bootstrap support values across data sets for selected clades.

From: Increased gene sampling strengthens support for higher-level groups within leaf-mining moths and relatives (Lepidoptera: Gracillariidae)

Data set

Analysis

'G.B.R.Y.' clade

Gracillariidae + Bucculatricidae + Yponomeutidae

('G.B.Y.' clade)

Gracillariidae + Roeslerstammiidae + Yponomeutidae

('G.R.Y.' clade)

Gracillariidae + Yponomeutidae ('G.Y.' clade)

Gracillariidae

Lithocolletinae + Leucanthiza

Acrocercopsgroup

Gracillariagroup

Parectopagroup

Phyllocnistinae + Oecophyllembiinae + Dendrorycter+ Marmara

A

nt123

[< 50]

[< 50]

< 50

< 50

99

N/A

87

N/A

100

N/A

 

codon

[< 50]

[< 50]

[< 50]

[< 50]

99

N/A

86

N/A

100

N/A

 

degen

74

55

[< 50]

[< 50]

100

N/A

99

N/A

100

N/A

 

partitioned

[< 50]

[< 50]

[< 50]

[< 50]

99

N/A

89

N/A

100

N/A

 

aa

[< 50]

[< 50]

[< 50]

[< 50]

97

N/A

90

N/A

100

N/A

B

nt123

[53]

[< 50]

< 50

[< 50]

100

N/A

98

N/A

100

N/A

 

codon

[54]

[< 50]

< 50

[< 50]

100

N/A

93

N/A

100

N/A

 

degen

90

[< 50]

< 50

[< 50]

100

N/A

92

N/A

100

N/A

 

partitioned

[62]

[< 50]

[< 50]

[< 50]

100

N/A

94

N/A

100

N/A

 

aa

66

[< 50]

[< 50]

< 50

98

N/A

97

N/A

100

N/A

C

nt123

[< 50]

[< 50]

[< 50]

[< 50]

99

100

98

71

100

[< 50]

 

codon

[< 50]

[< 50]

[< 50]

[< 50]

99

100

98

58

100

[< 50]

 

degen

[< 50]

[< 50]

[< 50]

[< 50]

100

100

100

89

100

[< 50]

 

partitioned

[< 50]

[< 50]

[< 50]

[< 50]

99

100

97

77

100

[< 50]

 

aa

[< 50]

< 50

[< 50]

[< 50]

90

100

93

< 50

100

[< 50]

D

nt123

[55]

[< 50]

< 50

[< 50]

99

100

100

67

100

51

 

codon

[61]

[< 50]

< 50

< 50

97

100

100

100

100

< 50

 

degen

83

[< 50]

< 50

< 50

100

100

100

93

100

[< 50]

 

partitioned

[59]

[< 50]

< 50

[< 50]

99

100

97

67

100

51

 

aa

75

[< 50]

[< 50]

< 50

89

100

94

< 50

100

< 50

  1. Square brackets indicate support values for clades that were not present in the ML tree.