Fig 1.
Bar plot depicting abundance of different fungal phyla in HC and FK samples.
Fig 2.
Box-plots illustrating alpha diversity indices (Shannon diversity, Simpson index and Observed OTUs) in fungal microbiomes of FK and HC samples.
Median values and interquartile ranges have been indicated in the plots.
Table 1.
Discriminating fungal OTUs between HC and FK samples (BH corrected P < 0.1).
Fig 3.
Box-plots illustrating alpha diversity indices (Shannon diversity, Simpson index and Observed OTUs) in bacterial microbiomes of FK and HC samples.
Median values and interquartile ranges have been indicated in the plots. * indicates significant difference between HC and FK (p-value <0.05).
Fig 4.
Taxonomic abundance of different bacterial phyla, across HC and FK samples.
Only those phyla with > 1% mean abundance are depicted in the plot.
Table 2.
Core bacterial OTUs* identified in HC and FK samples.
Fig 5.
Box plots indicating relative abundance of different bacterial OTUs which exhibit significant (BH corrected P < 0.05) differential abundance across HC and FK samples.
Differentially abundant OTUs having a median abundance > 0.1% in at least one group of samples has been depicted. The median abundances and the interquartile ranges have been indicated in the plots.
Table 3.
Bacterial OTUs exhibiting significant (BH corrected P < 0.05) differential abundance across HC and FK samples.
Fig 6.
Box plots indicating relative abundance of different bacterial genera which exhibited significant (BH corrected P < 0.05) differential abundance across HC and FK samples.
Differentially abundant genera having a median abundance > 0.1% in at least one group of samples has been depicted. Median abundances and interquartile ranges have been indicated in the plots.
Fig 7.
Two dimensional heatmap depicting rank normalized abundances (scaled between 0 and1) of 12 bacterial genera which were significantly enriched either in HC or FK samples.
The discriminating genera, as well as the samples (HC and FK) have been arranged along the two dimensions (axes) based on hierarchical clustering.
Fig 8.
Principal Coordinate Analysis (PCoA) based on JSD distances between bacterial OTU abundance profiles of different FK (red) and HC (blue) microbiome samples.
Samples plotted along first two principal coordinates showed distinct clustering of HC and FK samples.
Fig 9.
Principal Coordinate Analysis (PCoA) based on functional abundance profiles (KEGG modules) of FK (red) and HC (blue) microbiome samples.
Samples plotted along first two principal coordinates showed distinct clustering of HC and FK samples.
Table 4.
Discriminating functional pathways (KEGG) between HC and FK samples.
Fig 10.
Random forest classifier for microbiome based detection of fungal Keratitis.
Fig 11.
Bacteria-Fungi interaction network for the HC samples (based on correlation of genera-level abundance).
The node sizes in the network correspond to their degree. The bacterial genera have been highlighted as red nodes, whereas the fungal genera have been highlighted as green nodes. The positive and negative correlations / interactions have been indicated with green edges and red edges respectively.
Fig 12.
Bacteria-Fungi interaction network for the FK samples (based on correlation of genera-level abundance).
The node sizes in the network correspond to their degree. The bacterial genera have been highlighted as red nodes, whereas the fungal genera have been highlighted as green nodes. The positive and negative correlations / interactions have been indicated with green edges and red edges respectively.