Temporal Dynamics of the Human Vaginal Microbiota

被引:1004
作者
Gajer, Pawel
Brotman, Rebecca M.
Bai, Guoyun
Sakamoto, Joyce
Schuette, Ursel M. E.
Zhong, Xue
Koenig, Sara S. K.
Fu, Li
Ma, Zhanshan
Zhou, Xia
Abdo, Zaid
Forney, Larry J.
Ravel, Jacques
机构
[1] Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore
[2] Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore
[3] Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore
[4] Department of Biological Sciences, University of Idaho, Moscow
[5] Institute for Bioinformatics and Evolutionary Studies, University of Idaho, Moscow
[6] Department of Mathematics, University of Idaho, Moscow
[7] Department of Statistics, University of Idaho, Moscow
[8] Center for Infectious Disease Dynamics, Huck Institutes for the Life Sciences, Pennsylvania State University, University Park
[9] School of Public and Environmental Affairs, Indiana University, Bloomington
[10] Vanderbilt Center for Quantitative Sciences, Vanderbilt University, Nashville
[11] State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences
关键词
D O I
10.1126/scitranslmed.3003605
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
Elucidating the factors that impinge on the stability of bacterial communities in the vagina may help in predicting the risk of diseases that affect women's health. Here, we describe the temporal dynamics of the composition of vaginal bacterial communities in 32 reproductive-age women over a 16-week period. The analysis revealed the dynamics of five major classes of bacterial communities and showed that some communities change markedly over short time periods, whereas others are relatively stable. Modeling community stability using new quantitative measures indicates that deviation from stability correlates with time in the menstrual cycle, bacterial community composition, and sexual activity. The women studied are healthy; thus, it appears that neither variation in community composition per se nor higher levels of observed diversity (co-dominance) are necessarily indicative of dysbiosis.
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