4 resultados para Wilsons-disease Protein
em Brock University, Canada
Resumo:
An unusual postharvest spotting disease of the commercial mushroom, Agaricus bisporus, which was observed on a commercial mushroom farm in Ontario, was found to be caused by a novel pathovar of Pseudomonas tolaasii. Isolations from the discoloured lesions, on the mushroom pilei, revealed the presence of several different bacterial and fungal genera. The most frequently isolated genus being Pseudomonas bacteria. The most frequently isolated fungal genus was Penicillium. Of the bacteria and fungi assayed for pathogenicity to mushrooms, only Pseudomonas tolaasii was able to reproduce the postharvest spotting symptom. This symptom was typically reproduced 1 to 7 days postharvest, when mushroom pilei were inoculated with 101 to 105 cfu. Of the fungi tested for pathogenicity only a Penicillium sp. and Verticillium fungicola were shown to be pathogenic, however, neither produced the postharvest spotting symptom. The Pseudomonas tolaasii strain isolated from the postharvest lesions differed from a type culture (Pseudomonas tolaasii ATCC 33618) in the symptoms it produced on Agaricus bisporus pilei under the same conditions and at the same inoculum concentration. It was therefore designated a pathovar. This strain also differed from the type culture in its cellular protein profile. Neither the type culture, nor the mushroom pathogen was found to contain plasmid DNA. The presence of plasmid DNA is therefore not responsible for the difference in pathogenicity between the two strains.
Resumo:
Trichoderma aggressivum f. aggressivum is a filamentous soil fungus. Green mold disease of commercial mushrooms caused by this species in North America has resulted in millions of dollars in lost revenue within the mushroom growing industry. Research on the molecular level of T aggressivum have jus t begun with the goal of understanding the functions of each gene and protein, and their expression control. Protein targeting has not been well studied in this species yet. Therefore, the intent of this study was to test the protein localization and production levels in T aggressivum with green fluorescent protein (GFP) with an intron and tagged with either nuclear localization signal (NLS) or an endoplasmic reticulum retention signal (KDEL). Two GFP constructs (with and without the intron) were used as controls in this study. All four constructs were successfully transferred into T aggressivum and all modified strains showed similar growth characteristics as the wild type non-transformed isolate. GFP expression was detected from all modified T aggressivum with confocal microscopy and the expression was similar in all four strains. The intron tested in this study had no or very minor effects as GFP expression was similar with or without it. The GFP signal increased over a 5 day period for all transformants, while the GFP to total protein ratio decreased over the same period for all transformants. The GFP-KDEL transformant showed similar protein expression level and localization as did the control transformant lacking the KDEL retention signal. The GFP-NLS transformant similarly failed to localize GFP into nucleus as fluorescence with this strain was virtually identical to the GFP transformant lacking the NLS. Thus, future research is required to find effective localization signals for T aggressivum.
Resumo:
Glutaredoxins are oxidoreductases capable of reducing protein disulfide bridges and glutathione mixed disulfides through the process of deglutathionylation and glutathionylation. Lately, redox-mediated modifications of functional cysteine residues of TGA1 and TGA8 transcription factors have been postulated. Namely, GRX480 and ROXY1 glutaredoxins have been previously shown to interact with TGA proteins and have been suggested to regulate redox state of these proteins. TGA1, together with TGA2, is involved in systemic acquired resistance (SAR) establishment in the plant Arabidopsis thaliana through PR1 (Pathogenesis related 1) gene activation. They both form an enhanceosome complex with the NPR1 protein (non-expressor of pathogenesis related gene 1) which leads to PR1 transcription. Although TGA1 is capable of activating PR1 transcription, the ability of the TGA1 NPR1 enhanceosome complex to assembly is based on the redox status of TGA1. We identified GRX480 as a glutathionylating enzyme that catalyzes the TGA1 glutathione disulfide transferase reaction with a Km of around 20μM GSSG (oxidized glutathione). Out of four cysteine residues found within TGA1, C172 and C266 were found to be glutathionylated by this enzyme. We also confirmed TGA1 glutathionylation in vivo and showed that this modification takes place while TGA1 is associated with the PR1 promoter enzymatically via GRX480. Furthermore, we show that glutathionylation via GRX480 abolishes TGA1's interaction with NPR1 and consequently prevents the TGA1-NPR1 transcription activation of PR1. When glutathionylated, TGA1 is recruited to the PR1 promoter and acts as a repressor. Therefore, glutathionylation is a mechanism that prevents TGA1 NPR1 interaction, allowing TGA1 to function as a repressor of PR1 transcription. Surprisingly, GRX480 was not able to deglutathionylate proteins demonstrating the irreversible nature of the reaction. Moreover, we demonstrate that other members of CC-class glutaredoxins, namely ROXY1 and ROXY2, can also catalyze protein glutathionylation. The TGA8 protein was previously shown to interact with NPR1 analogs, BOP1 and BOP2 proteins. However, unlike the case of TGA1 NPR1 interaction, here we demonstrate that TGA8-BOP1 interaction is not redox regulated and that TGA8 glutathionylation by ROXY1 and ROXY2 enzymes does not abolish this interaction in vitro. However, TGA8 glutathionylation results in TGA8 oligomer disassembly into smaller complexes and monomers. Our results suggest that CC-Grxs are unable to reduce mixed disulfides, instead they efficiently catalyze the opposite reaction which distinguishes them from traditional glutaredoxins. Therefore, they should not be classified as glutaredoxins but as protein glutathione disulfide transferases.
Resumo:
Understanding the relationship between genetic diseases and the genes associated with them is an important problem regarding human health. The vast amount of data created from a large number of high-throughput experiments performed in the last few years has resulted in an unprecedented growth in computational methods to tackle the disease gene association problem. Nowadays, it is clear that a genetic disease is not a consequence of a defect in a single gene. Instead, the disease phenotype is a reflection of various genetic components interacting in a complex network. In fact, genetic diseases, like any other phenotype, occur as a result of various genes working in sync with each other in a single or several biological module(s). Using a genetic algorithm, our method tries to evolve communities containing the set of potential disease genes likely to be involved in a given genetic disease. Having a set of known disease genes, we first obtain a protein-protein interaction (PPI) network containing all the known disease genes. All the other genes inside the procured PPI network are then considered as candidate disease genes as they lie in the vicinity of the known disease genes in the network. Our method attempts to find communities of potential disease genes strongly working with one another and with the set of known disease genes. As a proof of concept, we tested our approach on 16 breast cancer genes and 15 Parkinson's Disease genes. We obtained comparable or better results than CIPHER, ENDEAVOUR and GPEC, three of the most reliable and frequently used disease-gene ranking frameworks.