Dysbiosis of gut microbiota is associated with the pathogenesis of human disease. Observing shifts in the microbe abundance cannot fully reveal underlying perturbations. Examining the relationship alteration (RA) in microbiome between different healthy status provides additional hints about the pathogenesis of human disease. However, no methods were designed to directly detect and quantify the RA between different conditions. Here, we present PM2RA (Profile Monitoring for Microbial Relationship Alteration), an analysis framework to identify and quantify the microbial RAs. The performance of PM2RA were evaluated in synthetic data, and found to show higher specificity and sensitivity than the co-occurrence-based methods. Analyses of real microbial dataset show that PM2RA is robust for quantifying microbial RA across different datasets in several diseases. By applying PM2RA, we identified both previously reported and novel microbes implicated in multiple diseases. The PM2RA is implemented as a web-based application available at http://www.pm2raxingyinliulab.cn/.
Keywords
Microbial relationship alteration; Profile monitoring; Human diseaseStep 5. Calculate PM score. The PM score is defined as = {D 8,9 , D 9,8 } . Compared with other non-parametric distance measures, e.g. Kullback-Leibler divergence, PM score has several advantages. The profile change measure is designed under symmetry. PM score has finite domains, i.e. [0,1], since the integration of a single probability density function is 1. The finite domains make PM score more interpretable. A Kolmogorov-Smirnov test is used on T 2 statistic to determine whether there is statistically significant difference between conditions.Step 6. Construction of relationship alteration network. After traversing of all sub-communities, a weighted network is built to visualize overall relationship alternations (RA). In the RA network G=(V,E) where V is the set of vertices representing microbes and E is the set of edges denoting the relationship alteration between the two conditions. The edge width and vertices size denote PM score and topological degree, respectively.