A subset of microbial genera (Enterobacter, Microbacterium and Paenibacillus, followed by Pantoea species, Stenotrophomonas and Bacillus) appeared to be somewhat conserved across the various host genotype and pot treatment combinations, including plants grown on sterilized sand, suggesting that these microbial genera were inherited rather than soil derived.
At SHP and YNP, conditions were: temperatures >50 °C, pH approximately 2 3, concentrations of sulfur-related compounds were high, and major microbial genera were Hydrogenobaculum, Sulfolobus and Metallosphaera.
Approximately forty microbial genera, especially yeasts and moulds, are known to be high lipid producers.
Similar to microbial gut investigation, the DGGE patterns indicated that the occurrence of diverse microbial genera (Enterobacter, Raoultella, Klebsiella, and Buttiauxella) and unclassified bacteria varied among the samples.
The high coverage gene-sets are expected to represent the highly expressed functions deriving from the dominant microbial genera in the ecosystem, and encompassed translation associated functions, glycolytic enzymes, and components of carbohydrate phosphotransferase systems (PTS).
Predefined sample groups (selected times of incubation as well as pyrene treatment versus controls) were statistically evaluated based on microbial genera relative abundance data and related to the degradation kinetics.
This question has been preliminarily answered by the results of CCA between characteristic microbial genera in AR-conditioning systems and ARs components.
The abundance of species belonging to 29 microbial genera differed significantly between RYGB and OBS samples; in particular, the levels of several species in the Gammaproteobacteria class were higher while the levels of three species in the Firmicutes phylum (Clostridium difficile, Clostridium hiranonis, and Gemella sanguinis) were lower in RYGB versus OBS samples (Table S3).
Coagulase-negative Staphylococcus, Enterococcus, Klebsiella and Candida were the most common microbial genera isolated from polymicrobial infections.
Early datasets have revealed that diabetic and venous leg ulcers share some microbial genera in common, but some significant differences have been reported as well, with the microbial community from different PUs being the most variable (Smith and Kavar, 2010; reviewed in Grice and Segre, 2012).
