Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2018 Nov 21:6:e5977.
doi: 10.7717/peerj.5977. eCollection 2018.

Characterization of vaginal microbiota in Thai women

Affiliations

Characterization of vaginal microbiota in Thai women

Auttawit Sirichoat et al. PeerJ. .

Abstract

Background: The vaginal microbiota (VMB) plays a key role in women's reproductive health. VMB composition varies with ethnicity, making it necessary to characterize the VMB of the target population before interventions to maintain and/or improve the vaginal health are undertaken. Information on the VMB of Thai women is currently unavailable. We therefore characterized the VMB in normal Thai women.

Methods: Vaginal samples derived from 25 Thai women were subjected to 16S rRNA gene next-generation sequencing (NGS) on the Ion Torrent PGM platform.

Results: Two groups of VMB were detected, lactobacilli-dominated (LD) and non-lactobacilli dominated (NLD) groups. Lactobacillus iners was the most common species found in the LD group while Gardnerella vaginalis followed by Atopobium vaginae and Pseudumonas stutzeri were commonly found in the NLD group.

Conclusions: The VMB patterns present in normal Thai women is essential information to further determine the factors associated with VMB patterns in vaginal health and disease and to develop proper management of reproductive health of Thai women.

Keywords: 16S rRNA gene next-generation sequencing; Bacterial vaginosis; Gardnerella vaginalis; Lactobacillus; Thailand; Vaginal microbiota.

PubMed Disclaimer

Conflict of interest statement

The authors declare there are no competing interests.

Figures

Figure 1
Figure 1. The hierarchical clustering tree and the heat map of bacterial taxa from vaginal samples.
The hierarchical clustering of 25 vaginal microbiota was generated based on the bacterial abundances of OTUs (A). The heat map showing the relative abundance of the most abundant OTUs using the color key (B). The red bar and blue bar below the tree indicate the lactobacilli-dominated and non-lactobacilli dominated group, respectively.
Figure 2
Figure 2. Shannon diversity index values in lactobacilli-dominated and non-lactobacilli dominated groups.
The Shannon diversity index values indicating diversity of bacterial taxa in both groups, as shown using Tukey’s boxplots.
Figure 3
Figure 3. Rarefaction curves for observed species (OTUs) (A) and Chao1 (B).
Both were used to estimate detected bacterial richness in lactobacilli-dominated and non-lactobacilli dominated groups.
Figure 4
Figure 4. Principle coordinates analysis (PCoA) plot of Bray–Curtis dissimilarity indices among all samples.
Figure 5
Figure 5. Venn diagram showing numbers of unique and shared OTUs (species) in lactobacilli-dominated and non-lactobacilli dominated groups.
Figure 6
Figure 6. The most abundant bacterial species detected in vaginal samples in the lactobacilli-dominated and non-lactobacilli dominated groups.
Data are shown as mean with SEM. The bacterial species with abundance less than 1% are not shown. These include F. magna, L. kefiranofaciens, L. vaginalis, Peptoniphilus harei, Peptostreptococcus. anaerobius, S. intermedius and U. parvum . * = significant difference.

References

    1. Aagaard K, Riehle K, Ma J, Segata N, Mistretta TA, Coarfa C, Raza S, Rosenbaum S, Van den Veyver I, Milosavljevic A, Gevers D, Huttenhower C, Petrosino J, Versalovic J. A metagenomic approach to characterization of the vaginal microbiome signature in pregnancy. PLOS ONE. 2012;7:e36466. doi: 10.1371/journal.pone.0036466. - DOI - PMC - PubMed
    1. Aroutcheva A, Gariti D, Simon M, Shott S, Faro J, Simoes JA, Gurguis A, Faro S. Defense factors of vaginal lactobacilli. American Journal of Obstetrics and Gynecology. 2001;185:375–379. doi: 10.1067/mob.2001.115867. - DOI - PubMed
    1. Barb JJ, Oler AJ, Kim HS, Chalmers N, Wallen GR, Cashion A, Munson PJ, Ames NJ. Development of an analysis pipeline characterizing multiple hypervariable regions of 16S rRNA using mock samples. PLOS ONE. 2016;11:e0148047. doi: 10.1371/journal.pone.0148047. - DOI - PMC - PubMed
    1. Blekhman R, Goodrich JK, Huang K, Sun Q, Bukowski R, Bell JT, Spector TD, Keinan A, Ley RE, Gevers D, Clark AG. Host genetic variation impacts microbiome composition across human body sites. Genome Biology. 2015;16 doi: 10.1186/s13059-015-0759-1. Article 191. - DOI - PMC - PubMed
    1. Borgdorff H, Van der Veer C, Van Houdt R, Alberts CJ, De Vries HJ, Bruisten SM, Snijder MB, Prins M, Geerlings SE, Schim van der Loeff MF, Van de Wijgert J. The association between ethnicity and vaginal microbiota composition in Amsterdam, the Netherlands. PLOS ONE. 2017;12:e0181135. doi: 10.1371/journal.pone.0181135. - DOI - PMC - PubMed