Dynamics of vaginal and rectal microbiota over several menstrual cycles in female cynomolgus macaques
Date
2019Journal
Frontiers in Cellular and Infection MicrobiologyPublisher
Frontiers Media S.A.Type
Article
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The composition of the microbiota in cynomolgus macaques is only partially characterized, although this animal model is often used to study pathogenesis and preventive strategies against infections. We thus performed, for the first time, a longitudinal characterization of the vaginal and rectal microbiota of five cycling female cynomolgus macaques. Samples were collected weekly for 15 weeks and the V3/V4 regions of the16S rRNA gene sequenced. Sequences were analyzed with QIIME for OTU detection and taxonomic assignment. Progesterone levels were also determined to evaluate hormonal influence on bacteria relative abundance. The rectal and vaginal bacterial composition in cynomolgus macaques is polymicrobial and clearly distinct, with larger individual variability in the vagina. Rectal microbiota profiles were consistent between animals, whereas they were highly variable and animal-specific in the vagina. In the rectum, the most abundant taxa were Ruminococcaceae, Prevotella, and Clostridiales. In the vagina, the most abundant genera were Sneathia, Porphyromonas, Prevotella, and Fusobacterium. Lactobacillus were found at relative abundances higher than 1% in only one animal and were not predominant. Comparison of the vaginal cynomolgus macaque microbiota with that of humans showed similarity to community state type IV-A usually associated with dysbiosis. In the vagina, the relative abundance of 12 bacterial genera was found to be associated with progesterone levels. Our study provides a detailed characterization of the rectal and vaginal microbiota in female cynomolgus macaques and opens new perspectives of this animal model. Copyright Copyright 2019 Nugeyre, Tchitchek, Adapen, Cannou, Contreras, Benjelloun, Ravel, Le Grand, Marlin and Menu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.Sponsors
This work was supported by the French government Programme d'Investissements d'Avenir (PIA) under Grant ANR-11INBS-0008 funding the Infectious Disease Models and Innovative Therapies (IDMIT, Fontenay-aux-Roses, France) infrastructure and the Grant ANR-17-E15-0020-03 funding the ACROBAT project.Identifier to cite or link to this item
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85068904931&doi=10.3389%2ffcimb.2019.00188&partnerID=40&md5=9c815da877f1a087807b987d77922614; http://hdl.handle.net/10713/10608ae974a485f413a2113503eed53cd6c53
10.3389/fcimb.2019.00188
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