Project description:Pectobacterium are Gram-negative rods of the family Pectobacteriaceae. They are the causative agent of soft rot diseases of crops and ornamental plants. However, their virulence mechanisms are not yet fully elucidated. Membrane vesicles (MVs) are universally released by bacteria and are be-lieved to play an important role in pathogenicity, and survival of bacteria in the environment. Our study investigates the role of MVs in the virulence of Pectobacterium. The results indicate that the morphology and yields of MVs depend on medium composition. In polygalacturonic acid (PGA) supplemented media, Pectobacterium produce MVs of a larger size (100-300 nm) apart of vesicles below 100 nm. Proteomic analyses revealed the presence of pectate degrading enzymes in MVs. The pectate plate test and enzymatic assay proved that those enzymes are active and able to de-grade pectates. What is more, pathogenicity test indicated that MVs derived from Pectobacterium were able to induce maceration of Zantedeschia sp. leaves. We also show that MVs of β-lactamase producing strains were able to suppress ampicillin activity and permit the growth of susceptible bacteria. Those findings indicate that MVs of Pectobacterium play an important role in host-pathogen interactions and niche competition with other bacteria. Our research also sheds some light on the mechanism of MVs production. We demonstrate that Pectobacterium strains, which overexpress the green fluorescence protein (GFP), produce more MVs than wild type strains. Moreover, proteomic analysis revealed that GFP was present in MVs. Therefore, we demonstrate that protein sequestration into MVs is not limited strictly to periplasmic proteins and is a common occurrence. Our research highlights the importance of MVs production as a mechanism of cargo delivery in Pectobacterium and an alternative secretion system.
Project description:To identify the potential ovarian cancer stem cell gene expression profile from isolated side population of fresh ascites obtained from women with high-grade advanced stage papillary serous ovarian adenocarcinoma Microarrays were used to interrogate the differentially expressed genes between side population (SP) and main population (MP) isolated from fresh ascites obtained from women with high-grade advanced stage papillary serous ovarian adenocarcinoma, and the results were analyzed by paired T-test using BRB-ArrayTools
Project description:The Lucinidae is a large family of marine bivalves. They occur in diverse habitats from shallow-water seagrass sediments to deep-sea hydrothermal vents. All members of this family so far investigated host intracellular sulfur-oxidizing symbionts that belong to the Gammaproteobacteria. We recently discovered the capability for nitrogen fixation in draft genomes of the symbionts of Loripes lucinalis from the Bay of Fetovaia, Elba, Italy. With proteomics, we investigated whether the genes for nitrogen fixation are expressed by the symbionts.
2016-08-19 | PXD004536 | Pride
Project description:Pectobacterium and Dickeya species that have been isolated in the Netherlands 1997-2020
| PRJNA1122109 | ENA
Project description:Reconstructing Draft Genomes Using Genome-Resolved Meta- genomics to Decipher Fresh Water Lake Microbial Characteristics
| PRJNA505875 | ENA
Project description:Reconstructing Draft Genomes Using Genome-Resolved Meta- genomics to Decipher Fresh Water Lake Microbial Characteristics
Project description:To identify the potential ovarian cancer stem cell gene expression profile from isolated side population of fresh ascites obtained from women with high-grade advanced stage papillary serous ovarian adenocarcinoma Microarrays were used to interrogate the differentially expressed genes between side population (SP) and main population (MP) isolated from fresh ascites obtained from women with high-grade advanced stage papillary serous ovarian adenocarcinoma, and the results were analyzed by paired T-test using BRB-ArrayTools Gene expression profiling was completed for 10 SP and MP pairs using the Affymetrix human U133 Plus 2.0 Arrays