Project description:This study was aimed to elucidate a global antigenic profile of Mycoplasma bovis (M. bovis) with immunoproteomics, immunoinformatics, and gene expression approaches. The extracts of whole-cell proteins and TX-114 membrane fraction of a Chinese strain M. bovis HB0801 were separated with two dimensional gel electrophoresis (2-DE) and proteins reacting with antisera to M. bovis from experimentally infected calves were detected by MALDI-TOF MS.
Project description:Mycoplasma species are highly contagious pathogens, and intramammary Mycoplasma infection is a serious issue for the dairy industry. The bovine mammary epithelial cells (bMEC) play an important role for the eradication of pathogens which cause intramammary infection, however the effects of M. bovis for immune response of bMEC have not been fully clarified. We examined the transcription profiling of bMEC on the stimulation with M. bovis for 6h (3 stimuli, 3 control).
Project description:Mycoplasmas are simple, but successful parasites that have the smallest genome of any free-living cell and are thought to have a highly streamlined cellular metabolism. Here we have undertaken a detailed metabolomic analysis of two species, Mycoplasma bovis and Mycoplasma gallisepticum, which cause economically important diseases in cattle and poultry, respectively. Untargeted GC/MS and LC/MS analyses of mycoplasma metabolite extracts revealed significant differences in the steady state levels of many metabolites in central carbon metabolism, while 13C stable isotope labelling studies revealed marked differences in carbon source utilization. These data were mapped onto in silico metabolic networks predicted from genome wide annotations. The analyses elucidated distinct differences, including a clear difference in glucose utilisation, with a marked decrease in glucose uptake and glycolysis in M. bovis compared to M. gallisepticum, which may reflect differing host nutrient availabilities. The 13C-labeling patterns also revealed several functional metabolic pathways that were previously unannotated in these species, allowing us to assign putative enzyme functions to the products of a number of genes of unknown function, especially in M. bovis. This study demonstrates the considerable potential of metabolomic analyses to assist in characterising significant differences in the metabolism of different bacterial species, and in improving genome annotation.