In silico analysis of soil, sediment and groundwater microbial communities to predict biodegradation potential

This study examined soil, sediment and groundwater microbial communities for a set of key functional genes important for contaminant biodegradation. This involved PICRUSt2 (Phylogenetic Investigation of Communities by Reconstruction of Unobserved States) predictions based on 16S rRNA gene amplicon datasets from three separate studies with different inocula and incubation conditions, as follows: aerobic soils, oxygen-limited microcosms containing sediments and groundwater, as well as methanogenic microcosms with different inocula. PICRUSt2 predicts functional profiles of microbial communities based on marker gene (16S rRNA gene) data. The relative abundances of genera previously associated with the biodegradation of chlorinated solvents/metabolites and/or 1,4-dioxane were also determined.