Identification of Bacterial Vaginal Microbiota Via Metagenomic Approach

dc.authorid Özalp, Veli Cengiz/0000-0002-7659-5990
dc.authorid UCAK, SAMET/0000-0002-3461-2481
dc.authorid Tuna, Bilge Guvenc/0000-0003-1348-1336
dc.authorid Acar, Elif Esma/0000-0002-6264-7550
dc.authorid Yurt, Mediha Nur Zafer/0000-0002-3064-3811
dc.authorwosid Özalp, Veli Cengiz/B-2940-2009
dc.authorwosid Tuna, Bilge Guvenc/O-2215-2014
dc.contributor.author Ucak, Samet
dc.contributor.author Sudagidan, Mert
dc.contributor.author Yurt, Mediha Nur Zafer
dc.contributor.author Tasbasi, Behiye Busra
dc.contributor.author Acar, Elif Esma
dc.contributor.author Tuna, Bilge Guvenc
dc.contributor.author Ozalp, Veli Cengiz
dc.contributor.other Basic Sciences
dc.date.accessioned 2024-07-05T15:24:28Z
dc.date.available 2024-07-05T15:24:28Z
dc.date.issued 2022
dc.department Atılım University en_US
dc.department-temp [Ucak, Samet] Istanbul Aydin Univ, Fac Med, Dept Med Biol, Istanbul, Turkey; [Sudagidan, Mert; Yurt, Mediha Nur Zafer; Tasbasi, Behiye Busra; Acar, Elif Esma] Konya Food & Agr Univ, KIT ARGEM R&D Ctr, Konya, Turkey; [Tasbasi, Behiye Busra] BBT Biotechnol, Konya, Turkey; [Tuna, Bilge Guvenc] Yeditepe Univ, Fac Med, Dept Biophys, Istanbul, Turkey; [Dogan, Soner] Yeditepe Univ, Fac Med, Dept Med Biol, Istanbul, Turkey; [Ozalp, Veli Cengiz] Atilim Univ, Fac Med, Dept Med Biol, Ankara, Turkey en_US
dc.description Özalp, Veli Cengiz/0000-0002-7659-5990; UCAK, SAMET/0000-0002-3461-2481; Tuna, Bilge Guvenc/0000-0003-1348-1336; Acar, Elif Esma/0000-0002-6264-7550; Yurt, Mediha Nur Zafer/0000-0002-3064-3811 en_US
dc.description.abstract Aim: The aim of the current study was to identify vaginal bacterial microbiota of 38 Turkish women using the high -throughput next -generation sequencing and metagenomic approach at different taxonomic levels from the kingdom to the species level. Materials and Methods: Vaginal swab samples (n=38) were collected in the DNA/RNA shield collection tubes at Yeditepe University Hospital, Department of Obstetrics and Gynecology in June 2021 and DNA extraction was performed by ZymoBIOMICS DNA miniprep kit. The information related to age, marital status, preliminary diagnosis and anamnesis status of patients were collected. To determine the vaginal microbiota, a metagenomic approach was applied using 16S rRNA amplicon sequencing. Results: The dominant phylum Firmicutes was followed by Proteobacteria, Actinobacteria, Tenericutes, Fusobacteria, and Synergistetes in the vaginal samples. Lactobacillus was the most abundant genus followed by Prevotella, Enterobacter, Gardnerella, and Dialister. Lactobacillus iners was dominant at the species level in vaginal swab samples, followed by Gardnerella vaginalis, Enterobacter tabaci, Prevotella timonensis, Prevotella bivia, and Lactobacillus jensenii. Canonical correspondence analysis (CCA) showed that Proteobacteria and Fusobacteria were mainly related to married/single variable with the highest percentages, whereas Actinobacteria and Tenericutes were related to age variable at the phylum level. Campylobacter , Atopobium , Enterobacter , and Lactococcus were mainly found in married/single variable with the highest percentages, whereas Anaerococcus, Streptococcus, Sutterella , and Veillonella were related to age. Moreover, CCA showed that Campylobacter ureolyticus, Lb. jensenii , and Atopobium vaginae were associated with married/single variable, whereas Lactobacillus johnsonii and G. vaginalis were found in age variable with the highest percentages at the species level. Conclusion: Vaginal diseases are still a major public health concern. The vaginal microbiota, which has been studied in more depth in recent years, has been discovered to be more complicated than previously imagined thanks to technological developments. More patient investigations are needed to confirm and develop these findings. en_US
dc.description.sponsorship Atimath;limath;m University Research Fund; [ATU-ADP-2021-02] en_US
dc.description.sponsorship This study was financially supported by At & imath;l & imath;m University Research Fund with a project number ATU-ADP-2021-02. en_US
dc.identifier.citationcount 0
dc.identifier.doi 10.4274/nkmj.galenos.2022.27543
dc.identifier.endpage 291 en_US
dc.identifier.issn 2587-0262
dc.identifier.issue 3 en_US
dc.identifier.startpage 283 en_US
dc.identifier.trdizinid 1132510
dc.identifier.uri https://doi.org/10.4274/nkmj.galenos.2022.27543
dc.identifier.uri https://hdl.handle.net/20.500.14411/2436
dc.identifier.volume 10 en_US
dc.identifier.wos WOS:001207772000016
dc.institutionauthor Özalp, Veli Cengiz
dc.language.iso en en_US
dc.publisher Galenos Publ House en_US
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Metagenomics en_US
dc.subject microbiota en_US
dc.subject next-generation sequencing en_US
dc.subject vaginal tract en_US
dc.title Identification of Bacterial Vaginal Microbiota Via Metagenomic Approach en_US
dc.type Article en_US
dc.wos.citedbyCount 0
dspace.entity.type Publication
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