Identification of Bacterial Vaginal Microbiota via Metagenomic Approach

dc.authoridÖzalp, Veli Cengiz/0000-0002-7659-5990
dc.authoridUCAK, SAMET/0000-0002-3461-2481
dc.authoridTuna, Bilge Guvenc/0000-0003-1348-1336
dc.authoridAcar, Elif Esma/0000-0002-6264-7550
dc.authoridYurt, Mediha Nur Zafer/0000-0002-3064-3811
dc.authorwosidÖzalp, Veli Cengiz/B-2940-2009
dc.authorwosidTuna, Bilge Guvenc/O-2215-2014
dc.contributor.authorUcak, Samet
dc.contributor.authorSudagidan, Mert
dc.contributor.authorYurt, Mediha Nur Zafer
dc.contributor.authorTasbasi, Behiye Busra
dc.contributor.authorAcar, Elif Esma
dc.contributor.authorTuna, Bilge Guvenc
dc.contributor.authorOzalp, Veli Cengiz
dc.contributor.otherBasic Sciences
dc.date.accessioned2024-07-05T15:24:28Z
dc.date.available2024-07-05T15:24:28Z
dc.date.issued2022
dc.departmentAtılım Universityen_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, Turkeyen_US
dc.descriptionÖzalp, 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/0000-0002-3064-3811en_US
dc.description.abstractAim: 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.sponsorshipAtimath;limath;m University Research Fund; [ATU-ADP-2021-02]en_US
dc.description.sponsorshipThis 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.citation0
dc.identifier.doi10.4274/nkmj.galenos.2022.27543
dc.identifier.endpage291en_US
dc.identifier.issn2587-0262
dc.identifier.issue3en_US
dc.identifier.startpage283en_US
dc.identifier.trdizinid1132510
dc.identifier.urihttps://doi.org/10.4274/nkmj.galenos.2022.27543
dc.identifier.urihttps://hdl.handle.net/20.500.14411/2436
dc.identifier.volume10en_US
dc.identifier.wosWOS:001207772000016
dc.institutionauthorÖzalp, Veli Cengiz
dc.language.isoenen_US
dc.publisherGalenos Publ Houseen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectMetagenomicsen_US
dc.subjectmicrobiotaen_US
dc.subjectnext-generation sequencingen_US
dc.subjectvaginal tracten_US
dc.titleIdentification of Bacterial Vaginal Microbiota via Metagenomic Approachen_US
dc.typeArticleen_US
dspace.entity.typePublication
relation.isAuthorOfPublication5698576b-38e7-4cc8-9551-3e06cf62ede8
relation.isAuthorOfPublication.latestForDiscovery5698576b-38e7-4cc8-9551-3e06cf62ede8
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relation.isOrgUnitOfPublication.latestForDiscoveryc6d3b3b7-f103-4779-9789-92b2e2420f2d

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