# Single-cell RNA sequencing using split-pool barcoding reveals transcriptional heterogeneity in Porphyromonas gingivalis with implications for periodontal pathogenesis

**Authors:** Eun-Young Jang, Seok Bin Yang, Jeewan Chun, Kyu Hwan Kwack, Sang-Wook Kang, Jae-Hyung Lee, Ji-Hoi Moon

PMC · DOI: 10.1080/20002297.2025.2540827 · Journal of Oral Microbiology · 2025-07-31

## TL;DR

This study uses single-cell RNA sequencing to reveal hidden diversity in Porphyromonas gingivalis, a bacteria linked to gum disease, showing how different subpopulations may help it survive and cause illness.

## Contribution

The first single-cell transcriptomic analysis of Porphyromonas gingivalis, uncovering rare subpopulations with distinct functional roles.

## Key findings

- Six transcriptionally distinct clusters were identified, with two major clusters accounting for 72.7% of the population.
- Minor clusters showed signatures related to stress responses, metabolism, and DNA regulation.
- Rare subgroups were found to be enriched for genes involved in iron acquisition and proteolysis.

## Abstract

Porphyromonas gingivalis is a keystone pathogen in periodontitis, associated with dysbiosis and chronic inflammation. While its virulence mechanisms are well characterized, its transcriptional heterogeneity at the single-cell level remains unexplored.

We applied split-pool barcoding-based single-cell RNA sequencing to profile gene expression in 1,942 individual P. gingivalis W83 cells cultured under anaerobic conditions. Clustering and differential expression analyses were conducted to identify distinct transcriptional subpopulations.

We identified six transcriptionally distinct clusters, with the two largest accounting for 72.7% of the population. Minor clusters exhibited signatures related to stress responses, metabolism, membrane transport, and DNA regulation. Sub-clustering of major populations revealed rare subgroups, including one enriched for genes involved in iron acquisition, proteolysis, and transport.

This study presents the first single-cell transcriptomic map of P. gingivalis, revealing rare but functionally significant subpopulations. Such diversity may support bacterial adaptability, virulence, and immune evasion, informing future strategies for targeted periodontal therapy.

Single-cell RNA sequencing reveals that Porphyromonas gingivalis comprises transcriptionally heterogeneous subpopulations, including rare subsets with distinct functional profiles.These functionally specialized subpopulations may promote bacterial persistence through environmental adaptation, immune evasion, and microbiome modulation.This study demonstrates that single-cell transcriptomics can uncover bacterial heterogeneity overlooked by bulk RNA-seq, providing new opportunities for targeted periodontal disease treatments.

Single-cell RNA sequencing reveals that Porphyromonas gingivalis comprises transcriptionally heterogeneous subpopulations, including rare subsets with distinct functional profiles.

These functionally specialized subpopulations may promote bacterial persistence through environmental adaptation, immune evasion, and microbiome modulation.

This study demonstrates that single-cell transcriptomics can uncover bacterial heterogeneity overlooked by bulk RNA-seq, providing new opportunities for targeted periodontal disease treatments.

## Linked entities

- **Diseases:** periodontitis (MONDO:0005076)
- **Species:** Porphyromonas gingivalis (taxon 837)

## Full-text entities

- **Diseases:** periodontitis (MESH:D010518), dysbiosis (MESH:D064806), chronic inflammation (MESH:D007249)
- **Chemicals:** iron (MESH:D007501)
- **Species:** Porphyromonas gingivalis (species) [taxon 837], Porphyromonas gingivalis W83 (strain) [taxon 242619]

## Full text

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## Figures

10 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12315123/full.md

## References

21 references — full list in the complete paper: https://tomesphere.com/paper/PMC12315123/full.md

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Source: https://tomesphere.com/paper/PMC12315123