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Rapid and Culture Free Identification of Francisella in Hare Carcasses by High-Resolution Tandem Mass Spectrometry Proteotyping

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Witt,  Natalie
Mass Spectrometry (Head: David Meierhofer), Scientific Service (Head: Christoph Krukenkamp), Max Planck Institute for Molecular Genetics, Max Planck Society;
Bioanalytics, Institute of Biotechnology, Technische Universität Berlin, Berlin, Germany;

/persons/resource/persons45277

Reinert,  Knut
Efficient Algorithms for Omics Data (Knut Reinert), Max Planck Fellow Group, Max Planck Institute for Molecular Genetics, Max Planck Society;
Department of Mathematics and Computer Science, Freie Universität Berlin, Berlin, Germany;

/persons/resource/persons50427

Meierhofer,  David
Mass Spectrometry (Head: David Meierhofer), Scientific Service (Head: Christoph Krukenkamp), Max Planck Institute for Molecular Genetics, Max Planck Society;

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Witt_2020.pdf
(Publisher version), 3MB

Supplementary Material (public)

Witt_2020_Suppl.Material.docx
(Supplementary material), 914KB

Citation

Witt, N., Andreotti, S., Busch, A., Neubert, K., Reinert, K., Tomaso, H., et al. (2020). Rapid and Culture Free Identification of Francisella in Hare Carcasses by High-Resolution Tandem Mass Spectrometry Proteotyping. Frontiers in Microbiology, 11: 11:636. doi:10.3389/fmicb.2020.00636.


Cite as: http://hdl.handle.net/21.11116/0000-0006-5F32-8
Abstract
Zoonotic pathogens that can be transmitted via food to humans have a high potential for large-scale emergencies, comprising severe effects on public health, critical infrastructures, and the economy. In this context, the development of laboratory methods to rapidly detect zoonotic bacteria in the food supply chain, including high-resolution mass spectrometry proteotyping are needed. In this work, an optimized sample preparation method for liquid chromatography-tandem mass spectrometry (LC-MS/MS)-based proteome profiling was established for Francisella isolates, and a cluster analysis, as well as a phylogenetic tree, was generated to shed light on evolutionary relationships. Furthermore, this method was applied to tissues of infected hare carcasses from Germany. Even though the non-informative data outnumbered by a manifold the information of the zoonotic pathogen in the resulting proteome profiles, the standardized evaluation of MS data within an established automated analysis pipeline identified Francisella (F.) tularensis and, thus, could be, in principle, an applicable method to monitor food supply chains.