Project description:Transcriptional profiling of Paracoccus denitrificans PD1222 wild type grown to mid-exponential phase in minimal media with either 13 uM (Cu-H) or 0.5 uM (Cu-L) Cu regimes. The goal was to define the effects of Cu-limitation on denitrification genes Two growth conditions, three biological replicates of each condition. Each sample hybridised in a two-channel hybridization against Paracoccus denitrificans genomic DNA as the comparator/reference, which also acted as a control for spot quality. Cu-concentration 13 uM (Cu-H) versus 0.5 uM Cu (Cu-L) in anaerobic growth conditions.
Project description:Transcriptional profiling of Paracoccus denitrificans PD1222 wild type grown to mid-exponential phase in minimal media with either 13 uM (Cu-H) or 0.5 uM (Cu-L) Cu regimes. The goal was to define the effects of Cu-limitation on denitrification genes
Project description:Transcriptional profiling of Paracoccus denitrificans PD1222 wild type incubated in continuous culture (continuous culture (CSTR)) in minimal media with aerobic or anaerobic conditions. The goal was to define the core respiratory genes.
Project description:We report here the RNA seq results of sRNA enriched Paracoccus denitrificans grown under three different N2O levels (high N2O reffered to as CuL/ low N2O reffered to as CuH/ Low N2O aerobic reffered to as CuH O2)
Project description:We report the application of transcriptome sequencing technology in florfenicol interfering with denitrification by Paracoccus denitrificans. More than 30 billion bases of sequences were obtained by sequencing analysis. We found 433 differentially expressed genes, of which 292 genes were down-regulated and 141 genes were up-regulated, respectively. Importantly, most of the denitrification genes were suppressed, which further led to the enrichment of key metabolic pathways. The weakening of protein synthesis was consistent with the bacteriostatic mechanism of florfenicol. In particular, we found 42 putative differentially expressed sRNAs. After homologous alignment, target gene prediction and functional analysis, it was proved that the sRNAs differential expression profile is likely to be a key transcription factor affected by antibiotics in denitrification. This study provides new ideas for further control of environmental antibiotic pollution.