Project description:We isolated an efficient doxycycline degrading strain Chryseobacterium sp. WX1. To investigate gene expression patterns during doxycyclinedegradation by strain WX1, we conducted a comparative transcriptomic analysis using cultures of strain WX1 with and without doxycycline addition. The RNA-Seq data revealed that 90.44-96.56% of the reads mapped to the genome of Chryseobacterium sp. WX1 across all samples. Differentially expressed genes (DEGs) analysis (|log2FC| >2; p < 0.01) showed that 693 genes were significantly up-regulated and 592 genes were significantly down-regulated.
Project description:In this study, we isolated a potent doxycycline-degrading bacterium, Chryseobacterium sp. WX1, from environmental samples. To elucidate the molecular mechanisms underlying doxycycline degradation by strain WX1, we assessed and interpreted the proteomic profiles of Chryseobacterium sp. WX1 under conditions both with and without doxycycline exposure.
Project description:For the first time, we report the whole genome sequence of a hydrocarbonoclastic Chryseobacterium oranimense strain isolated from Trinidad and Tobago (COTT) and its genes involved in the biotransformation of hydrocarbons and xenobiotics through functional annotation. The assembly consisted of 11 contigs with 2,794 predicted protein-coding genes which included a diverse group of gene families involved in aliphatic and polycyclic hydrocarbon degradation. Comparative genomic analyses with 18 crude-oil degrading bacteria in addition to two C. oranimense strains not associated with oil were carried out. The data revealed important differences in terms of annotated genes involved in the hydrocarbon degradation process that may explain the molecular mechanisms of hydrocarbon and xenobiotic biotransformation. Notably, many gene families were expanded to explain COTT's competitive ability to manage habitat-specific stressors. Gene-based evidence of the metabolic potential of COTT supports the application of indigenous microbes for the remediation of polluted terrestrial environments and provides a genomic resource for improving our understanding of how to optimize these characteristics for more effective bioremediation.
