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Evaluation of Next-Generation Sequencing Applied to Cryptosporidium parvum and Cryptosporidium hominis Epidemiological Study.
Bailly, Eloïse; Valot, Stéphane; Vincent, Anne; Duffourd, Yannis; Grangier, Nadège; Chevarin, Martin; Costa, Damien; Razakandrainibe, Romy; Favennec, Loïc; Basmaciyan, Louise; Dalle, Frédéric.
Afiliação
  • Bailly E; Parasitology-Mycology Laboratory, University Hospital Biology Platform, Dijon University Hospital Center, 21000 Dijon, France.
  • Valot S; Associated Laboratory CNR-LE for Cryptosporidiosis, University Hospital Biology Platform, Dijon University Hospital Center, 21000 Dijon, France.
  • Vincent A; Parasitology-Mycology Laboratory, University Hospital Biology Platform, Dijon University Hospital Center, 21000 Dijon, France.
  • Duffourd Y; Associated Laboratory CNR-LE for Cryptosporidiosis, University Hospital Biology Platform, Dijon University Hospital Center, 21000 Dijon, France.
  • Grangier N; Parasitology-Mycology Laboratory, University Hospital Biology Platform, Dijon University Hospital Center, 21000 Dijon, France.
  • Chevarin M; Associated Laboratory CNR-LE for Cryptosporidiosis, University Hospital Biology Platform, Dijon University Hospital Center, 21000 Dijon, France.
  • Costa D; Inserm UMR 1231 GAD, Genetics of Developmental Disorders, Bourgogne-Franche Comté University, FHU TRANSLAD, 21000 Dijon, France.
  • Razakandrainibe R; Associated Laboratory CNR-LE for Cryptosporidiosis, University Hospital Biology Platform, Dijon University Hospital Center, 21000 Dijon, France.
  • Favennec L; Inserm UMR 1231 GAD, Genetics of Developmental Disorders, Bourgogne-Franche Comté University, FHU TRANSLAD, 21000 Dijon, France.
  • Basmaciyan L; CNR LE for Cryptosporidiosis (National Center of Reference for Cryptosporidiosis, Expert Laboratory), Santé Publique France, Rouen University Hospital Center, 76031 Rouen, France.
  • Dalle F; Laboratoire de Parasitologie-Mycologie, Centre Hospitalo-Universitaire de Rouen, 76031 Rouen, France.
Pathogens ; 11(8)2022 Aug 18.
Article em En | MEDLINE | ID: mdl-36015058
Background. Nowadays, most of the C. parvum and C. hominis epidemiological studies are based on gp60 gene subtyping using the Sanger sequencing (SgS) method. Unfortunately, SgS presents the limitation of being unable to detect mixed infections. Next-Generation Sequencing (NGS) seems to be an interesting solution to overcome SgS limits. Thus, the aim of our study was to (i) evaluate the reliability of NGS as a molecular typing tool for cryptosporidiosis, (ii) investigate the genetic diversity of the parasite and the frequency of mixed infections, (iii) assess NGS usefulness in Cryptosporidium sp. outbreak investigations, and (iv) assess an interpretation threshold of sequencing data. Methods. 108 DNA extracts from positive samples were sequenced by NGS. Among them, two samples were used to validate the reliability of the subtyping obtained by NGS and its capacity to detect DNA mixtures. In parallel, 106 samples from French outbreaks were used to expose NGS to epidemic samples. Results. NGS proved suitable for Cryptosporidium sp. subtyping at the gp60 gene locus, bringing more genetic information compared to SgS, especially by working on many samples simultaneously and detecting more diversity. Conclusions. This study confirms the usefulness of NGS applied to C. hominis and C. parvum epidemiological studies, especially aimed at detecting minority variants.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article