Science Advances

Supplementary Materials

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  • Fig. S1. Correlation of nasal microbiota composition among monozygotic and among same-sex and opposite-sex dizygotic twin pairs in non-metric multidimensional scaling ordination plots.
  • Fig. S2. Rates of S. aureus nasal colonization by sequencing and by culture and S. aureus absolute abundance for the seven nasal CSTs.
  • Fig. S3. Results from decision tree model derivation and validation showing threshold-dependent relationships between the absolute abundances of nasal commensals and S. aureus.
  • Table S1. The indicator genera for each nasal CST identified on the basis of proportional abundance, where CI < 0.80 denotes bacteria taxa assigned with <80% bootstrap confidence level.
  • Table S2. Nasal bacterial density (median and IQR) of each nasal CST and the prevalence of each CST by sex.
  • Table S3. Comparison of within-twin nasal microbiota composition correlation between monozygotic and dizygotic twins based on pairwise ecological distance (Jaccard, Bray-Curtis, and Euclidean distances).
  • Table S4. Results from standard biometrical heritability analysis using a polygenic model to determine the contribution of additive genetic effects (A), genetics effects due to dominance (D), shared environmental effects (C), and nonshared environmental effects (E) to nasal bacterial density.
  • Table S5. The associations between nasal bacterial density and host factors, including sex, assessed by Wilcoxon rank sum and Kolmogorov-Smirnov tests
    Table S6. Comparison of nasal bacterial density by sex, adjusted for nasal CST in a quasi-Poisson model.
  • References (2533)

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