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TIDE analysis of Cryptosporidium infections by gp60 typing reveals obscured mixed infections

Dettwiler, I. and Troell, K. and Robinson, G. and Chalmers, R. M. and Basso, W. and Renteria-Solis, Z. M. and Daugschies, A. and Mühlethaler, K. and Dale, M. and Basapathi Raghavendra, J. and Ruf, M. T. and Poppert, S. and Meylan, M. and Olias, P.. (2022) TIDE analysis of Cryptosporidium infections by gp60 typing reveals obscured mixed infections. J Infect Dis, 225 (4). pp. 686-695.

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Official URL: https://edoc.unibas.ch/90435/

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Abstract

BACKGROUND: Cryptosporidiosis is a parasitic disease associated with potentially fatal diarrhea. The most used method in Cryptosporidium subtyping is based on the glycoprotein gene gp60. Each infection can represent a parasite population, and it is important to investigate the influence on transmission and virulence, as well as any impact on public health investigations. However, an easy-to-use method for detection is lacking. METHODS: Here we report on the use of the bioinformatic program TIDE for deconvolution of gp60 chromatograms. A combination of single oocyst analysis and cloning successfully confirmed the within-sample parasite population diversity. Retrospective sample analysis was conducted on archived chromatograms. RESULTS: For C. parvum, 8.6% multi-strain infections (13 out of 152) obscured by currently used consensus base calling were detected. Importantly, we show that single oocysts can harbor a mixed population of sporozoites. We also identified a striking dominance of unappreciated polymerase stutter artefacts in all 218 chromatograms analyzed, challenging the uncritical use of gp60 typing. DISCUSSION: We demonstrate the value of a new easy-to-use analytical procedure for critical characterization of C. parvum and C. hominis in epidemiological investigations, also applicable in retrospect. Our findings illuminate the hidden parasite diversity with important implications for tracing zoonotic and person-to-person transmissions.
Faculties and Departments:09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH)
09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH) > Department of Medicine (MED) > Diagnostic (Nickel)
UniBasel Contributors:Ruf, Marie-Therese and Poppert, Sven
Item Type:Article, refereed
Article Subtype:Research Article
ISSN:1537-6613 (Electronic)0022-1899 (Linking)
Note:Publication type according to Uni Basel Research Database: Journal article
Identification Number:
Last Modified:21 Dec 2022 17:54
Deposited On:21 Dec 2022 17:54

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