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Table 4 Range of percent improvement using CONSTAX

From: CONSTAX: a tool for improved taxonomic resolution of environmental fungal ITS sequences

Taxnomic Ranka

Percent Increaseb

ITS1-Soil

ITS2-Soil

ITS1-Plant

ITS2-Plant

ITS1-BCc

ITS2-BCc

ITS1-UNc,d

ITS2-UNc,d

Mean Increase

Kingdom

max.

0.00

0.00 (1.60)

0.00 (0.20)

0.00

0.00 (1.00)

0.00 (0.20)

0.00 (2.20)

0.00

0.81 (1.14)

min.

0.40

3.00

1.40

0.20

3.60

1.40

2.60

0.40

Phylum

max.

0.47

1.29

4.46 (5.25)

2.84

6.05

1.70

5.57 (7.62)

2.76

6.83 (6.50)

min.

5.21 (4.03)

13.18 (5.43)

17.06

18.01

11.46

12.24

11.73

8.90

Class

max.

1.58

1.83

0.93

4.89

3.04

0.84

3.98

3.70

8.56 (5.36)

min.

9.23 (2.11)

24.77 (7.65)

21.98 (18.27)

26.63 (22.28)

18.26 (8.70)

9.28 (5.49)

13.94 (5.98)

9.26 (5.19)

Order

max.

1.69

2.47

0.33

2.58

2.48

1.40

5.75

3.23

10.94 (5.73)

min.

11.83 (4.79)

27.21 (6.71)

37.42 (20.86)

42.58 (24.52)

19.31 (7.92)

7.44 (5.58)

19.91 (8.85)

11.29 (4.03)

Family

max.

1.36

3.54

2.47

3.16

1.86

1.10

6.88

6.13

15.72 (6.43)

min.

13.9 (1.69)

30.81 (6.57)

58.02 (22.63)

61.05 (26.32)

20.50 (9.94)

11.60 (6.08)

32.80 (8.99)

27.83 (7.08)

Genus

max.

2.56

6.25

2.51

5.33

2.40

1.89

9.15

9.03

27.06 (9.04)

min.

28.21 (3.85)

53.13 (8.59)

88.94 (37.69)

85.33 (36.00)

31.20 (7.20)

35.22 (10.69)

63.38 (10.56)

62.58 (9.03)

Species

max.

5.65

8.51

2.70

1.92

3.19

1.83

9.28

13.68

34.65 (13.20)

min.

52.42 (16.13)

65.96 (14.89)

98.65 (47.97)

96.15 (51.92)

41.49 (9.57)

51.38 (21.10)

81.44 (11.34)

89.47 (17.89)

  1. aPercent improvement calculated with RDP, SINTAX, and UTAX outputs (numbers in paranthesis calculated without including UTAX, only differing values displayed). Ranges represent minimum and maximum improvement when compared to all three classifiers at a given level
  2. bEquation to calculate percent increase, where N = assigned OTUs. \( \frac{\max\ or\ \min\ N}{consensus\ N}\times 100 \)
  3. cReads are forward (ITS1) or reverse (ITS2), not merged read pairs
  4. dDataset was processed with denoising instead of clustering