Figure S7. Visualizations of models relating CST occurrence probability to post-natal and gestational age. (A) A bivariate probability model (model 1; see Methods) of observing each CST was fit for all gestational ages at birth between 24 and 43 weeks and the first 88 weeks of life. Each panel indicates the residual probability of observing a specific CST as a function of gestational age at birth (y-axis) and week of life (x-axis). Probabilities are represented as colored topographic maps, where whiter hues indicate higher probability of observing a CST relative to the overall mean. Contour lines are periodically labeled to provide the precise residual probabilities. Black dots indicate sample collection points, with time points beyond the ...
Episodic increases in persistent taxa. The “average” panel represents 16S rRNA gene amplicon data av...
File includes Figure A, B, and C. Figure A. Rarefaction curve. Number of observed species identified...
Table S5. Parameters for classifying CSTs into one of the three occurrence patterns. (XLSX 11 kb
Figure S6. Associations between CST membership and post-menstrual age. The posterior probability of ...
Figure 8. Coefficients versus p values for models that test OTU for associations with subject-level ...
Shannon diversity indices overtime in infants born by vaginal (V) or caesarean section (CS) delivery...
Figure S2. Dirichlet-Multinomial diagnostics including species level OTU relative abundance for each...
Figure S1. Composition bar charts by subject and sampling method. Figure S2. Alpha diversity by subj...
Table S1. Temporal changes in alpha-diversity. Table S2. Temporal changes in bacterial phyla. Table ...
Bray-Curtis dissimilarity principal coordinate (PCoA) plots comparing bacterial profiles based on ge...
Figure showing the structure of the original Terneuzen Birth Cohort data, the broken stick data, and...
Shannon diversity indices overtime of all samples grouped according to patient status. Grey shading ...
Shannon diversity indices overtime of all samples grouped according to patient status. Grey shading ...
Figure S4. Distribution of samples into community state types by PMA for (A) throat, (B) nasal, and ...
UniFrac clustering for gender distribution. (A) Unweighted and (B) weighted UniFrac PCoA of gut micr...
Episodic increases in persistent taxa. The “average” panel represents 16S rRNA gene amplicon data av...
File includes Figure A, B, and C. Figure A. Rarefaction curve. Number of observed species identified...
Table S5. Parameters for classifying CSTs into one of the three occurrence patterns. (XLSX 11 kb
Figure S6. Associations between CST membership and post-menstrual age. The posterior probability of ...
Figure 8. Coefficients versus p values for models that test OTU for associations with subject-level ...
Shannon diversity indices overtime in infants born by vaginal (V) or caesarean section (CS) delivery...
Figure S2. Dirichlet-Multinomial diagnostics including species level OTU relative abundance for each...
Figure S1. Composition bar charts by subject and sampling method. Figure S2. Alpha diversity by subj...
Table S1. Temporal changes in alpha-diversity. Table S2. Temporal changes in bacterial phyla. Table ...
Bray-Curtis dissimilarity principal coordinate (PCoA) plots comparing bacterial profiles based on ge...
Figure showing the structure of the original Terneuzen Birth Cohort data, the broken stick data, and...
Shannon diversity indices overtime of all samples grouped according to patient status. Grey shading ...
Shannon diversity indices overtime of all samples grouped according to patient status. Grey shading ...
Figure S4. Distribution of samples into community state types by PMA for (A) throat, (B) nasal, and ...
UniFrac clustering for gender distribution. (A) Unweighted and (B) weighted UniFrac PCoA of gut micr...
Episodic increases in persistent taxa. The “average” panel represents 16S rRNA gene amplicon data av...
File includes Figure A, B, and C. Figure A. Rarefaction curve. Number of observed species identified...
Table S5. Parameters for classifying CSTs into one of the three occurrence patterns. (XLSX 11 kb