Fig. 3

Co-occurrence network analysis of vaginal bacterial taxa in the overall patient cohort. Bayesian Analysis of Compositional Covariance (BAnOCC) was used to generate co-occurrence networks between vaginal microbiota at genera (a) and species level taxonomy (b) using the 50 species with the highest overall abundance. This programme uses a Bayesian framework to analyse compositional covariance. We ran the MCMC for 10000 generations and four chains and restricted subsequent analyses to edges with [r] > 0.3. The red lines indicate negative correlations and the green lines indicate positive correlations and the lines are weighted according to the magnitude of the correlation. There were high levels of co-occurrence between BV associated genera, whereas Lactobacillus was negatively correlated with most other genera (a). At species level, L.crispatus had the most number of negative edges with all other bacterial taxa (b)