The geographical region of origin determines the phagocytic vulnerability of Lichtheimia strains.

Hassan MIA*, Cseresnyes Z*, Al-Zaben N, Dahse HM, Vilela de Oliveira RJ, Walther G, Voigt K**, Figge MT**; *shared first authors; ** authors contributed equally (2019) The geographical region of origin determines the phagocytic vulnerability of Lichtheimia strains. Environ Microbiol 21(12), 4563-4581.

*equal contribution

Abstract

Mucormycoses are life-threatening infections that affect patients suffering from immune deficiencies. We performed phagocytosis assays confronting various strains of Lichtheimia species with alveolar macrophages, which form the first line of defense of the innate immune system. To investigate seventeen strains from four different continents in a comparative fashion, transmitted light and confocal fluorescence microscopy was applied in combination with automated image analysis. This interdisciplinary approach enabled the objective and quantitative processing of the big volume of image data. Applying machine-learning supported methods, a spontaneous clustering of the strains was revealed in the space of phagocytic measures. This clustering was not driven by measures of fungal morphology but rather by the geographical origin of the fungal strains. Our study illustrates the crucial contribution of machine-learning supported automated image analysis to the qualitative discovery and quantitative comparison of major factors affecting host-pathogen interactions. We found that the phagocytic vulnerability of Lichtheimia species depends on their geographical origin, where strains within each geographic region behaved similarly, but strongly differed amongst the regions. Based on this clustering, we were able to also classify clinical isolates with regard to their potential geographical origin.

Leibniz-HKI-Autoren

Marc Thilo Figge
Kerstin Voigt
Zoltán Cseresnyés
Hans-Martin Dahse
Grit Walther
Mohamed Ismail Abdelwahab Hassan
Naim Al-Zaben
Rafael José Vilela de Oliveira

Identifier

doi: 10.1111/1462-2920.14752

PMID: 31330072