Lactobacillus-Dominated Cervical Microbiota Revealed by Long-Read 16S rRNA Sequencing: A Greek Pilot Study

<b>Background/Objectives:</b> The vaginal microbiota constitutes a highly dynamic microbial ecosystem shaped by the distinct mucosal, hormonal, and immunological environment of the female genital tract. Accumulating evidence suggests that shifts in cervical microbial composition and function may influence host-microbe interactions and contribute to gynecological disease risk. Within this framework, the present study aimed to perform an in-depth genomic characterization of the cervical microbiota in a well-defined cohort of Greek women. The primary objective was to explore the functional microbial landscape by identifying dominant bacterial taxa, taxon-specific signatures, and potential microbial pathways implicated in cervical epithelial homeostasis, immune modulation, and disease susceptibility. <b>Methods:</b> Microbial genomic DNA was isolated from 60 cervical samples using the Magcore Bacterial Automated Kit and analyzed through full-length 16S rRNA gene sequencing using the Nanopore MinION™ platform, allowing high-resolution taxonomic assignment and enhanced functional inference. In parallel, cervical samples were screened for 14 HPV genotypes using a real-time PCR-based assay. <b>Results:</b> The cervical microbial communities were dominated by <i>Lactobacillus iners</i>, <i>Lactobacillus crispatus</i>, and <i>Aerococcus christensenii</i>, collectively representing over 75% of total microbial abundance and suggesting a functionally protective microbiota profile. A diverse set of low-abundance taxa-including <i>Stenotrophomonas maltophilia</i>, <i>Stenotrophomonas pavanii</i>, <i>Acinetobacter septicus</i>, <i>Rhizobium</i> spp. <i>(Rhizobium rhizogenes</i>, <i>Rhizobium tropici</i>, <i>Rhizobium jaguaris</i>), <i>Prevotella amnii</i>, <i>Prevotella disiens</i>, <i>Brevibacterium casei</i>, <i>Fannyhessea vaginae</i>, and <i>Gemelliphila asaccharolytica</i>-was also detected, potentially reflecting niche-specific metabolic functions or environmental microbial inputs. No HPV genotypes were detected in any of the cervical samples. <b>Conclusions:</b> This genomic profiling study underscores the functional dominance of <i>Lactobacillus</i> spp. within the cervical microbiota and highlights the contribution of low-abundance taxa that may participate in metabolic cross-feeding, immune signaling, or epithelial barrier modulation. Future large-scale, multi-omics studies integrating metagenomics and host transcriptomic data are warranted to validate microbial functional signatures as biomarkers or therapeutic targets for cervical health optimization.

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Journal
Genes
Published
2025-12-26
DOI
https://doi.org/10.3390/genes17010018
Primary Topic
Reproductive tract infections research
Type
article
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article

Lactobacillus-Dominated Cervical Microbiota Revealed by Long-Read 16S rRNA Sequencing: A Greek Pilot Study

Despina Vougiouklaki, Sophia Letsiou, Panagiotis Halvatsiotis, Dimitra Houhoula et al.
Genes
Reproductive tract infections research
article

Lactobacillus-Dominated Cervical Microbiota Revealed by Long-Read 16S rRNA Sequencing: A Greek Pilot Study

Despina Vougiouklaki, Sophia Letsiou, Panagiotis Halvatsiotis, Dimitra Houhoula, Aliki Tsakni, Iliana Mavrokefalidou, Zoe Siateli, Konstantinos Ladias
article en

Abstract

<b>Background/Objectives:</b> The vaginal microbiota constitutes a highly dynamic microbial ecosystem shaped by the distinct mucosal, hormonal, and immunological environment of the female genital tract. Accumulating evidence suggests that shifts in cervical microbial composition and function may influence host-microbe interactions and contribute to gynecological disease risk. Within this framework, the present study aimed to perform an in-depth genomic characterization of the cervical microbiota in a well-defined cohort of Greek women. The primary objective was to explore the functional microbial landscape by identifying dominant bacterial taxa, taxon-specific signatures, and potential microbial pathways implicated in cervical epithelial homeostasis, immune modulation, and disease susceptibility. <b>Methods:</b> Microbial genomic DNA was isolated from 60 cervical samples using the Magcore Bacterial Automated Kit and analyzed through full-length 16S rRNA gene sequencing using the Nanopore MinION™ platform, allowing high-resolution taxonomic assignment and enhanced functional inference. In parallel, cervical samples were screened for 14 HPV genotypes using a real-time PCR-based assay. <b>Results:</b> The cervical microbial communities were dominated by <i>Lactobacillus iners</i>, <i>Lactobacillus crispatus</i>, and <i>Aerococcus christensenii</i>, collectively representing over 75% of total microbial abundance and suggesting a functionally protective microbiota profile. A diverse set of low-abundance taxa-including <i>Stenotrophomonas maltophilia</i>, <i>Stenotrophomonas pavanii</i>, <i>Acinetobacter septicus</i>, <i>Rhizobium</i> spp. <i>(Rhizobium rhizogenes</i>, <i>Rhizobium tropici</i>, <i>Rhizobium jaguaris</i>), <i>Prevotella amnii</i>, <i>Prevotella disiens</i>, <i>Brevibacterium casei</i>, <i>Fannyhessea vaginae</i>, and <i>Gemelliphila asaccharolytica</i>-was also detected, potentially reflecting niche-specific metabolic functions or environmental microbial inputs. No HPV genotypes were detected in any of the cervical samples. <b>Conclusions:</b> This genomic profiling study underscores the functional dominance of <i>Lactobacillus</i> spp. within the cervical microbiota and highlights the contribution of low-abundance taxa that may participate in metabolic cross-feeding, immune signaling, or epithelial barrier modulation. Future large-scale, multi-omics studies integrating metagenomics and host transcriptomic data are warranted to validate microbial functional signatures as biomarkers or therapeutic targets for cervical health optimization.

GenesVol. 17(1)
National and Kapodistrian University of Athens (GR), University of West Attica (GR), Check Point (Israel) (IL), Sapienza University of Rome (IT)
Gender equality
Openalex Percentile: Top 32%
Reproductive tract infections research
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