Growth and Metabolism of Pasteurella Tularensis LVS

Scharer, Jeno M.; Klein, Frederick; Lincoln, Ralph E.

doi:10.21236/ad0836125

Cited by 2 publications

(2 citation statements)

References 3 publications

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“…F. tularensis was also able to grow in Chamberlain media on amino acids without an additional carbohydrate source. Increasing the amino acid concentration increased the growth rates as has been reported [40,41]. However, the specific growth rates were slower and the final biomass concentration was much lower (Figure 4B).…”

Section: Resultssupporting

confidence: 83%

Systems approach to investigating host-pathogen interactions in infections with the biothreat agent Francisella. Constraints-based model of Francisella tularensis

2010

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BackgroundFrancisella tularensis is a prototypic example of a pathogen for which few experimental datasets exist, but for which copious high-throughout data are becoming available because of its re-emerging significance as biothreat agent. The virulence of Francisella tularensis depends on its growth capabilities within a defined environmental niche of the host cell.ResultsWe reconstructed the metabolism of Francisella as a stoichiometric matrix. This systems biology approach demonstrated that changes in carbohydrate utilization and amino acid metabolism play a pivotal role in growth, acid resistance, and energy homeostasis during infection with Francisella. We also show how varying the expression of certain metabolic genes in different environments efficiently controls the metabolic capacity of F. tularensis. Selective gene-expression analysis showed modulation of sugar catabolism by switching from oxidative metabolism (TCA cycle) in the initial stages of infection to fatty acid oxidation and gluconeogenesis later on. Computational analysis with constraints derived from experimental data revealed a limited set of metabolic genes that are operational during infection.ConclusionsThis integrated systems approach provides an important tool to understand the pathogenesis of an ill-characterized biothreat agent and to identify potential novel drug targets when rapid target identification is required should such microbes be intentionally released or become epidemic.

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Section: Resultssupporting

confidence: 83%

Systems approach to investigating host-pathogen interactions in infections with the biothreat agent Francisella. Constraints-based model of Francisella tularensis

2010

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“…After spreading of the bacteria, the agar plates were incubated for two days at 37°C in 5% CO 2 . For growth of F. tularensis LVS in liquid media Scharer medium [9] was used. After inoculation of approximately 10 6 cells ml −1 the cultures were agitated (150 rpm) at 37°C for 18 h. E. coli was grown in LB media or agar plates thereof [10] at 37°C overnight.…”

Section: Methodsmentioning

confidence: 99%

Flow cytometric assessment of the survival ratio of Francisella tularensis in aerobiological samples

Henningson

Kročová²,

Sandström

et al. 1998

FEMS Microbiology Ecology

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Survival of microorganisms in aerobiological samples is often assessed by a survival ratio (SR), which is the ratio between the viable or metabolic active number (MA) of microorganisms to the total number (TOT) of microorganisms. A method to determine survival ratios with flow cytometry was developed for Francisella tularensis, the causative agent of tularemia. F. tularensis is a fastidious bacteria that can be transmitted by aerosol and constitute as such a valid model organism for aerobiological studies. The total number of F. tularensis cells was determined by specific targeting with monoclonal antibodies and detected by phycoerytrine (PE) conjugated secondary antibodies. The metabolic active part of the targeted F. tularensis cells was quantified by staining with rhodamine 123 (Rh123). Application of the presented method showed higher precision compared to an earlier developed method for survival ratios, achieved with plate count (VC) and Coulter Counter (CC) measurements. The coefficient of variation between samples for the new method was below 5% for the survival ratio. Comparison of VC yield with MA yield showed consistently higher values for MA. The survival ratios of F. tularensis in samples taken before and after aerosolisation were analysed. SR for F. tularensis determined with the new method decreased approximately 19% whereas SR determined with VC and CC decreased 62% after passage through aerosol state.

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Growth and Metabolism of Pasteurella Tularensis LVS

Cited by 2 publications

References 3 publications

Systems approach to investigating host-pathogen interactions in infections with the biothreat agent Francisella. Constraints-based model of Francisella tularensis

Systems approach to investigating host-pathogen interactions in infections with the biothreat agent Francisella. Constraints-based model of Francisella tularensis

Flow cytometric assessment of the survival ratio of Francisella tularensis in aerobiological samples

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