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Cryptosporidium parvum-Infected Neonatal Mice Show Gut Microbiota Remodelling Using High-Throughput Sequencing Analysis: Preliminary Results

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Abstract

Background

During the last decade, the scientific community has begun to investigate the composition and role of gut microbiota in normal health and disease. These studies have provided crucial information on the relationship between gut microflora composition and intestinal parasitic infection, and have demonstrated that many enteric pathogen infections are associated with altered gut microflora composition. In this study, we investigated the effects of Cryptosporidium parvum infection (zoonotic protozoan affecting a large range of vertebrates) on both qualitative and quantitative composition of gut microbiota in a CD-1 neonatal mouse model.

Methods

5-day-old neonate mice were experimentally infected with 105Cryptosporidium parvum Iowa oocysts by oesophageal gavage. The intestinal microbiota of both infected (Cp+) and uninfected (Cp−) mice groups was examined by high-throughput sequencing of the bacterial 16S rDNA gene V3–V4 hypervariable region.

Results

The most consistent change in the microbiota composition of Cp+ mice was the increased proportion of bacterial communities belonging to the Phylum Bacteroidetes. In contrast, the microbiota of Cp− mice was associated with increased proportions of several Firmicutes and Actinobacteria phyla members.

Conclusion

For the first time, our study provides evidence of an association between cryptosporidial infection and gut dysbiosis, thus contributing valuable knowledge to the as-yet little-explored field of Cryptosporidium–microbiota interactions in a neonatal mouse model.

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Acknowledgements

M. Mammeri was the grateful recipient of a Cifre (Industrial Research Training Agreement) grant. He would like to thank the Phileo Lesaffre Animal Care centre (France) and the ANRT (National Association for Technical Research), Ministry of Research. The authors thank Alain Bernier and Océane Le Bidel for their technical expertise and skilful animal husbandry; Muriel Vayssier and Jean-François Cosson for their constructive discussions on the use of 16S rDNA high-throughput sequencing strategy, and Illumina Miseq platform at Eurofins Genomics (Germany) for performing the 16S rDNA high-throughput sequencing.

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Authors and Affiliations

  1. UMR BIPAR, Ecole Nationale Vétérinaire d’Alfort, Anses, INRA, Université Paris-Est, 7, Avenue du Général De Gaulle, 94700, Maisons-Alfort Cedex, France

    Mohamed Mammeri, Thomas Pollet, Bruno Polack & Karim Tarik Adjou

  2. Phileo Lesaffre Animal Care, 137 Rue Gabriel Péri, 59 700, Marcq-en-Barœul, France

    Mohamed Mammeri, Christine Julien & Eric Auclair

  3. Animal Health Laboratory, UMR BIPAR, Anses, Ecole Nationale Vétérinaire d’Alfort, INRA, University Paris-Est, Maisons-Alfort, France

    Aurélie Chevillot, Myriam Thomas & Isabelle Vallée

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  1. Mohamed Mammeri
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Mammeri, M., Chevillot, A., Thomas, M. et al. Cryptosporidium parvum-Infected Neonatal Mice Show Gut Microbiota Remodelling Using High-Throughput Sequencing Analysis: Preliminary Results. Acta Parasit. 64, 268–275 (2019). https://doi.org/10.2478/s11686-019-00044-w

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