1. Lower airway microbiota and mycobiota in children with severe asthma
David L. Goldman, MD, Zigui Chen, PhD, Viswanathan Shankar, DrPH, Michael Tyberg, MD, Alfin Vicencio, MD, Robert Burk, MD 
Journal of Allergy and Clinical Immunology 
Volume 141, Issue 2, Pages e7 (February 2018)
DOI: /j.jaci
Copyright © 2017 American Academy of Allergy, Asthma & Immunology Terms and Conditions

2. Fig 1
Box plot of bacterial (A) and fungal (B) genera that were differentially represented between SA (red) and non-A (green) cohorts. P value (Mann-Whitney test) is displayed at the top of each plot.
Journal of Allergy and Clinical Immunology  , e7DOI: ( /j.jaci )
Copyright © 2017 American Academy of Allergy, Asthma & Immunology Terms and Conditions

3. Fig E1
Read counts of microbiota (16SV4) and mycobiota (ITS) for each sample. There were 3 SAFS samples, 2 non-A samples, and 1 CF sample with assigned ITS reads less than the blank controls, and were considered negative for fungal taxon. 16SV4, 16S rRNA gene V4 region; ITS, internal transcribed spacer; SAFS, severe asthma with fungal sensitization.
Journal of Allergy and Clinical Immunology  , e7DOI: ( /j.jaci )
Copyright © 2017 American Academy of Allergy, Asthma & Immunology Terms and Conditions

4. Fig E2
Rarefaction curves (97% OTU numbers) for microbiota (A) and mycobiota (B).
Journal of Allergy and Clinical Immunology  , e7DOI: ( /j.jaci )
Copyright © 2017 American Academy of Allergy, Asthma & Immunology Terms and Conditions

5. Fig E3
Diversity of microbiota (A and B) and mycobiota (C and D) in children with SA, non-A, and CF. A and C, Component diversities measured by Shannon index were compared for statistical significance using Kruskal-Wallis (KW) test among all the defined groups. B and D, The PERMANOVA principal-component analyses inferred from the pairwise weighted GUniFrac distances between samples were performed to cluster the samples. The PCoA1 and PCoA2 axes represented the first 2 principal components. P values are displayed at the top of plot. PERMANOVA, Permutation multivariate ANOVA; PCoA, Principal Coordinates Analysis.
Journal of Allergy and Clinical Immunology  , e7DOI: ( /j.jaci )
Copyright © 2017 American Academy of Allergy, Asthma & Immunology Terms and Conditions

6. Fig E4
Composition of the microbiota of children with SA, non-A, and CF. Mean percentages (± SEM) for each bacterial genus among defined groups are shown. Comparisons (Mann-Whitney test) with a P value of less than .05 for SA and non-A are highlighted in bold.
Journal of Allergy and Clinical Immunology  , e7DOI: ( /j.jaci )
Copyright © 2017 American Academy of Allergy, Asthma & Immunology Terms and Conditions

7. Fig E5
Composition of the mycobiota of children with SA, non-A, and CF. Mean percentages (± SEM) for each fungal genus among defined groups are shown. Comparisons (Mann-Whitney test) with a P value of less than .05 for SA and non-A are highlighted in bold.
Journal of Allergy and Clinical Immunology  , e7DOI: ( /j.jaci )
Copyright © 2017 American Academy of Allergy, Asthma & Immunology Terms and Conditions

8. Fig E6
Bacterial and fungal genera that were differentially represented between SA and non-A cohorts. A, Relative frequency (%) of taxa in SA (brown) and non-A (green) samples. B, LDA for effect size of taxa that best characterized the association to SA (light brown) or non-A (light green). C, Pairwise Spearman rho correlation coefficient between taxa in a heat map with a range from perfect correlation (1, red) to inverse correlation (−1, blue) as indicated by the color bar. The rectangle box showed the pairwise correlation between bacterial and fungal genera. LDA, Linear discriminant analysis.
Journal of Allergy and Clinical Immunology  , e7DOI: ( /j.jaci )
Copyright © 2017 American Academy of Allergy, Asthma & Immunology Terms and Conditions