Ureaplasma diversum strain:ATCC 49782
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA257677 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| GCA_000941095.1_sequence_report.txt | Txt |
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Project description:Here, we report the complete genome sequence of Ureaplasma diversum strain ATCC 49782. This species is of bovine origin, having an association with reproductive disorders in cattle, including placentitis, fetal alveolitis, abortion, and birth of weak calves. It has a small circular chromosome of 975,425 bp.
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Project description:Ureaplasma are widespread parasites colonizing the mucosal surface of the human urogenital tract, and it has been suspected as a causative agent of nongonococcal urethritis, pregnancy complications and prenatal infections. Ureaplasma may also cause central nervous system infections and affect the lower respiratory tract of newborn babies. However, Ureaplasma spp. have also been detected in the urogenital tracts of clinically healthy patients, and their role in the development of infections thus remains unclear. Like in other organisms, virulence of Ureaplasma is determined by the presence of virulence factors - adhesions, human IgA protease, phospholipase and urease. However, the existence of interrelationships between the presence of these genes in the Ureaplasma genome and the incidence of diseases in man has not been demonstrated. Difficulties in the elucidation of these interrelationships may arise from significant macro- (gene mutation, chromosomal rearrangements) and micro- (nucleotide polymorphism) genomic heterogeneity. It is possible that the combination of the variable strain-specific genes in Ureaplasma with generally known virulence factors determine the development of pathological processes on the mucosal surface of the human urogenital tract. Keywords: macroarray, variability of genome, Ureaplasma parvum
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Project description:Ureaplasma are widespread parasites colonizing the mucosal surface of the human urogenital tract, and it has been suspected as a causative agent of nongonococcal urethritis, pregnancy complications and prenatal infections. Ureaplasma may also cause central nervous system infections and affect the lower respiratory tract of newborn babies. However, Ureaplasma spp. have also been detected in the urogenital tracts of clinically healthy patients, and their role in the development of infections thus remains unclear. Like in other organisms, virulence of Ureaplasma is determined by the presence of virulence factors - adhesions, human IgA protease, phospholipase and urease. However, the existence of interrelationships between the presence of these genes in the Ureaplasma genome and the incidence of diseases in man has not been demonstrated. Difficulties in the elucidation of these interrelationships may arise from significant macro- (gene mutation, chromosomal rearrangements) and micro- (nucleotide polymorphism) genomic heterogeneity. It is possible that the combination of the variable strain-specific genes in Ureaplasma with generally known virulence factors determine the development of pathological processes on the mucosal surface of the human urogenital tract. In our research we used 10 clinical and 1 laboratory strain
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Project description:In this study the transcriptomes of Acinetobacter baumannii strains ATCC 17978 and 17978hm were compared. Strain 17978hm is a hns knockout derivative of strain ATCC 17978. Strain 17978hm displays a hyper-motile phenotype on semi-solid Mueller-Hinton (MH) media (0.25% agar). ATCC 17978 and 17978hm from an 37C overnight culture were transferred to the centre of the semi-solid MH plate and incubated at 37C for 8 hours. Only 17978hm cells displayed a motile phenotype and covered the complete surface of the plate. These motile 17978hm cells and the non-motile wild-type ATCC 17978 cells were harvested and RNA was isolated. The comparative transcriptome analysis was performed using the FairPlay labeling kit and a custom made Agilent MicroArray with probes designed to coding regions of the ATCC 17978 genome. The data was analyzed using Agilent GeneSpring GX9 and the significance analysis of microarray MS Excel add-on.
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