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Klebsiella MALDI TypeR: a web-based tool for Klebsiella identification based on MALDI-TOF mass spectrometry

Abstract : Klebsiella pathogens affect human and animal health and are widely distributed in the environment. Among these, the Klebsiella pneumoniae species complex, which includes seven phylogroups, is an important cause of community and hospital infections. The Klebsiella oxytoca species complex also causes hospital infections and antibiotic-associated haemorrhagic colitis. The unsuitability of currently used clinical microbiology methods to distinguish species within each of these species complexes leads to high rates of misidentifications that are masking the true clinical significance and potential epidemiological specificities of individual species. We developed a web-based tool, Klebsiella MALDI TypeR, a platform-independent and user-friendly application that enables uploading MALDI-TOF mass spectrometry data in order to identify Klebsiella isolates at the species complex and phylogroup levels. The tool, available at, leverages a database of previously identified biomarkers that are specific for species complexes, individual phylogroups, or related phylogroups. We obtained 84% to 100% identification accuracy depending on phylogroup. Identification results are obtained in a few seconds from batches of uploaded spectral data. Klebsiella MALDI TypeR enables fast and reliable identification of Klebsiella strains that are often misidentified with standard microbiological methods. This web-based identification tool may be extended in the future to other human bacterial pathogens.
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Contributor : Isabelle Moulherat <>
Submitted on : Thursday, May 20, 2021 - 10:35:13 AM
Last modification on : Friday, August 27, 2021 - 2:20:04 PM
Long-term archiving on: : Saturday, August 21, 2021 - 6:19:08 PM


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Sébastien Bridel, Stephen Watts, Louise Judd, Taylor Harshegyi, Virginie Passet, et al.. Klebsiella MALDI TypeR: a web-based tool for Klebsiella identification based on MALDI-TOF mass spectrometry. Research in Microbiology, Elsevier, In press, pp.103835. ⟨10.1016/j.resmic.2021.103835⟩. ⟨pasteur-03230671⟩



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