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Table 3 Mean alpha-diversity indices and mean relative proportions of dominant phyla and genera (> 1%) in decreasing order of abundance for ALL samples and across three asthma phenotypic clusters (APC1, APC2, and APC3) in pediatric asthma

From: Pediatric asthma comprises different phenotypic clusters with unique nasal microbiotas

Taxon

ALL

APC1

APC2

APC3

F

DF

P(>F)

Alpha-diversity

 ACE

225.9

227.3

217.9

234.6

0.8

151

0.4710

 PD

21.5

21.5

21.5

21.6

0.02

155

0.9787

 Shannon

1.82

2.02

1.59

1.88

3.1

141

0.0445

Beta-diversity

 UniFrac-w

–

–

–

–

5.2

2

0.0001

 UniFrac-unw

–

–

–

–

1.1

2

0.1156

 Bray-Curtis

–

–

–

–

3.6

2

0.0001

 Jaccard

–

–

–

–

2.7

2

0.0002

Phyla

 Firmicutes

37.8

40.4

33.3

40.7

0.6

139

0.5548

 Proteobacteria

36.3

22.8

48.4

36.2

5.4

140

0.0056

 Actinobacteria

11.1

17.4

7.5

8.4

4.7

136

0.0105

 Bacteroidetes

8.2

11.5

5.7

7.7

3.1

153

0.0491

 Fusobacteria

3.5

4.2

2.5

4.1

1.4

126

0.2523

Genus

 Moraxella

28.3

15.2

41.7

25.8

6.1

141

0.0029

 Staphylococcus

17.8

20.9

14.5

18.5

0.9

142

0.4013

 Corynebacterium

10.1

16.2

6.7

7.5

4.7

136

0.0110

 Dolosigranulum

7.7

5.3

10.0

7.4

3.0

146

0.0484

 Prevotella

5.5

8.8

3.0

5.1

3.8

155

0.0242

 Streptococcus

5.5

5.2

4.3

7.4

1.1

150

0.3518

 Fusobacterium

3.3

3.9

2.4

3.7

1.1

126

0.3251

 Haemophilus

3.2

2.4

1.9

5.6

1.6

113

0.2056

 Neisseriaceae sp

1.4

1.6

1.7

0.7

1.3

156

0.2643

 Peptoniphilus

1.2

1.8

0.6

1.2

0.9

156

0.4201

  1. Linear mixed-effects (LME) models results are shown for alpha-diversity indices and taxa abundances, while permutational multivariate analysis of variance (adonis) results are shown for beta-diversity indices. The significance of LME models was estimated using ANOVA of type III with Satterthwaite approximation for degrees of freedom. For each test, we report the relevant F statistic (F), degrees of freedom (DF), and significance (P(> F))