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TIDE Analysis of Cryptosporidium Infections by gp60 Typing Reveals Obscured Mixed Infections.
Dettwiler, Ines; Troell, Karin; Robinson, Guy; Chalmers, Rachel M; Basso, Walter; Rentería-Solís, Zaida Melina; Daugschies, Arwid; Mühlethaler, Konrad; Dale, Mariko I; Basapathi Raghavendra, Jyothi; Ruf, Marie-Thérèse; Poppert, Sven; Meylan, Mireille; Olias, Philipp.
Affiliation
  • Dettwiler I; Institute of Animal Pathology, University of Bern, Bern, Switzerland.
  • Troell K; Department of Microbiology, National Veterinary Institute, Uppsala, Sweden.
  • Robinson G; Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden.
  • Chalmers RM; Cryptosporidium Reference Unit, Public Health Wales Microbiology, Singleton Hospital, Swansea, United Kingdom.
  • Basso W; Swansea University Medical School, Swansea, United Kingdom.
  • Rentería-Solís ZM; Cryptosporidium Reference Unit, Public Health Wales Microbiology, Singleton Hospital, Swansea, United Kingdom.
  • Daugschies A; Swansea University Medical School, Swansea, United Kingdom.
  • Mühlethaler K; Institute of Parasitology, University of Bern, Bern, Switzerland.
  • Dale MI; Institute for Parasitology, University of Leipzig, Leipzig, Germany.
  • Basapathi Raghavendra J; Institute for Parasitology, University of Leipzig, Leipzig, Germany.
  • Ruf MT; Institute for Infectious Diseases, University of Bern, Bern, Switzerland.
  • Poppert S; Institute of Animal Pathology, University of Bern, Bern, Switzerland.
  • Meylan M; Institute of Animal Pathology, University of Bern, Bern, Switzerland.
  • Olias P; Swiss Tropical and Public Health Institute, Basel, Switzerland.
J Infect Dis ; 225(4): 686-695, 2022 02 15.
Article in En | MEDLINE | ID: mdl-34417806
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 Cryptosporidium parvum, 8.6% multistrain infections (13 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. CONCLUSIONS: We demonstrate the value of a new, easy-to-use analytical procedure for critical characterization of C. parvum and Cryptosporidium hominis in epidemiological investigations, also applicable retrospectively. Our findings illuminate the hidden parasite diversity with important implications for tracing zoonotic and person-to-person transmissions.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Cryptosporidium parvum / Cryptosporidiosis / Cryptosporidium / Coinfection Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Animals / Humans Language: En Journal: J Infect Dis Year: 2022 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Cryptosporidium parvum / Cryptosporidiosis / Cryptosporidium / Coinfection Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Animals / Humans Language: En Journal: J Infect Dis Year: 2022 Document type: Article Affiliation country: Country of publication: