Researchers at the University of California Center for Microbiome Innovation (CMI) have validated a new method for use in microbiome studies that could help detect subtle changes in the composition of a microbial community and provide insight into the evolutionary history of community members. The method is more sensitive than current technologies, and could revolutionize the way microbiome data is analyzed. The findings are published April 17 in mSystems.