Project description:Total bacterial DNA was isolated from water and sediment samples from a local watershed and 16S rRNA sequences were analyzed using the Illumina MiSeq v3 platform in order to generate snapshots of bacterial community profiles.
Project description:Total bacterial DNA was isolated from water and sediment samples from a local watershed and 16S rRNA sequences were analyzed using the Illumina MiSeq v3 platform in order to generate snapshots of bacterial community profiles. A total of 56 samples were collected that represent water and sediment samples from 14 sample sites over two different time points (November 18 and 25, 2011).
Project description:Using Fourier transform ion cyclotron resonance mass spectrometry (FTICR-MS) on microcosm samples from early phase plant litter degradation, we found that proteins and condensed hydrocarbons are the compounds with the strongest correlation to dissolved organic carbon (DOC) concentration. Proteins correlated positively with DOC concentration, while tannins and condensed hydrocarbons correlated negatively with DOC. With nuclear magnetic resonance (NMR) spectroscopy, we identified 15 individual compounds associated with DOC concentration. Through random forest, neural network, and indicator species analyses, we identified bacterial and fungal taxa associated with DOC concentration and additionally identified connections between microorganisms and DOC chemical composition.
