Venn diagrams were generated for both data sets using MOTHUR to calculate how many OTUs were shared between the two communities. To further explore the relationships between the two microbial communities,

samples were clustered into Newick-formatted trees Protein Tyrosine Kinase inhibitor (using the UPGMA algorithm) with distance between communities calculated with θYC coefficient as a measurement of dissimilarity between community structures [32] in MOTHUR. In addition, weighted UniFrac testing [33] was performed to determine the statistical significance of clustering within the tree. A non-metric multidimensional scaling (NMDS) plot was generated in R for the distances calculated using θYC measures for each sequence dataset (V1V2 and V6), knowing that θYC weighs rare and abundant OTUs more evenly than other metrics such as Jaccard. Results 454 pyrosequenced 16S rDNA amplicon sequences After preprocessing of the raw IC 454 reads as described in Siddiqui et al. (2011) [16], we obtained a total of 46, 138 and 62,032 16S rDNA sequences for

V1V2 and V6 regions, respectively, see Table 1. For comparison purposes, the preprocessing information for the HF urine sequences reported in Siddiqui et al. (2011) [16] is also listed in the table. Average number of reads per IC sample was 5,767 and 7,754 for V1V2 and V6, respectively (range: V1V2 3035–9506; V6 4900–14602) see Additional file 2: Table S2. 97% of the preprocessed sequences were classified to phylum, order and family level, and 95% of the sequences

were identified selleckchem down to genus level. Composition of the IC urine microbiota In total, 7 phyla were identified by the 16S rDNA sequences when the two different amplicon libraries (i.e.V1V2 and V6 16S regions) were considered together (Figure 1A). 93% of the bacterial DNA sequences were assigned to Firmicutes, while the other 7% were assigned to 6 additional phyla. Actinobacteria was the second major phylum with 5% of the sequence Clomifene abundance. Bacteroidetes and Tenericutes were represented by 1% of total bacterial sequences each, while three phyla – Proteobacteria, Fusobacteria and Nitrospirae – were detected by less than 1% of the assigned sequences. Figure 1 Summary of the microbial phyla and orders detected in interstitial cystitis urine and healthy female urine. A: A comparative www.selleckchem.com/products/cbl0137-cbl-0137.html taxonomic tree view of 16S rDNA sequences from interstitial cystitis (IC) urine and healthy female (HF) urine assigned to the phylum level as computed using MEGAN V3.4. Normalized counts by pooling together results from V1V2 and V6 16S rDNA sequence datasets were used for both IC and HF urine. B and C: Comparison of taxonomic assignments for IC and HF urine sequences at the order level, showing an increase of the order Lactobacillales in IC urine sequences relative to HF urine, for both V1V2 (B) and V6 datasets (C).