Project description:Comparative genomic hybridization of a temporally and locally diverse set of S. enterica ssp I serovar Enteritidis isolates, and some closely related serovar Dublin and Gallinarum strains, to the sequenced Enteritidis PT4 Keywords: other
Project description:Comparative genomic hybridization of a temporally and locally diverse set of S. enterica ssp I serovar Enteritidis isolates, and some closely related serovar Dublin and Gallinarum strains, to the sequenced Enteritidis PT4
Project description:MicroRNAs (miRNAs) play important roles by regulating the expression of target genes in plant and animal. However, little known about mechanism of fungal miRNA-like RNAs (milRNAs) regulating target gene restricts their functional exploration. In this study, multiple omics were used to identify the milRNAs and their target genes in a phytopathogenic fungus Valsa mali. Many candidate pathogenic factors were found to be regulated by milRNA-directed cleavage way. Absence or downregulated expression of Vm-milRNAs promote expression of candidate pathogenic factors during V. mali infection. Vm-milR16 is a significantly downregulated milRNA during V. mali infection, resulting in significantly upregulated expression of three target genes: VmSNF1, VmDODA, and VmHy1. Overexpression of Vm-milR16 significantly reduces the pathogenicity of V. mali. And all the three target genes of Vm-milR16 are required for the full pathogenicity of V. mali. Further analysis revealed that VmSNF1 regulates the pathogenicity by affecting the expression of pectinase genes during V. mali infection. And all the three target genes are essential for oxidative stress response during V. mali-host interaction. Vm-milRNAs may help V. mali to intelligently use limited resources and adaptively regulate pathogenicity by enhancing expression of pathogenic factors and fitness during infection.
Project description:Salmonella infections are among the most common foodborne diseases worldwide. The Enteritidis and Dublin serovars of Salmonella enterica are closely related yet they differ significantly in pathogenicity and epidemiology. Enteritidis is a broad-host-range serovar that commonly causes gastroenteritis and infrequently causes invasive disease in humans. Dublin mainly colonizes cattle but upon infecting humans often results in invasive disease. The aim of this work was to elucidate the molecular factors responsible for the differential pathogenic behavior between both serovars. We performed a quantitative proteomic comparative analysis between one clinical isolate of each serovar grown in vitro under gut mimicking conditions (GMC). Compared to S. Enteritidis, the S. Dublin proteome was enriched in proteins linked to response to several stress conditions, such as those encountered during host infection, as well as to virulence. The S. Enteritidis proteome contained proteins related to central anaerobic metabolism pathways that were undetected in S. Dublin. Similar differences were also found at the transcriptional level, as mRNA levels correlated with proteomic results for 17 of the 20 genes tested in 4 natural isolates of each serovar grown in GMC. This work reveals proteomic differences between two Salmonella serovars with markedly different invasive and host-range characteristics, grown in an infection relevant condition, which were not evident in previous comparative genomic analyses.
Project description:Global gene expression profiling in spleen in chicken inoculated with S. enteritidis and control was conducted to screen differentially expressed genes and identify the key gene, signalling pathways and important biological processes that related to the infection of S. enteritidis
Project description:In order to explore the role of LaeA in secondary metabolite biosynthetic gene clusters’ regulation, toxin production, and virulence of Valsa mali, TMT-based proteomic analysis of wildtype, LaeA deletion mutant and overexpression mutant were performed. Totally, 4,299 proteins (FDR < 0.01) were identified by searching against the Valsa mali protein sequence database.
Project description:To investigate changes in the INTS-11 distribution across different conditions, we peformed ChIP-seq using antibody against INTS11 in K562 cells at 4 days after modified allele expression We then performed coverage plot analyses using data obtained from ChIP-seq from IP fractions to investigate INTS11 distribution changes
