Evidence map›Paper›PMID 41535594›Full record

ArticleApplied microbiology and biotechnology2026

Characterization of the oral microbiome in the diverse South African population by PacBio HiFi sequencing.

Priyanka Govender, Errol Cason, Meenu Ghai

Abstract read
In one paragraph

Article in Applied microbiology and biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Priyanka GovenderDiscipline of Genetics, School of Agriculture and Science, University of KwaZulu-Natal, Westville, South Africa.
Errol CasonDepartment of Animal Sciences, Faculty of Natural and Agricultural Sciences, University of the Free State, Bloemfontein, South Africa.
Meenu GhaiDiscipline of Genetics, School of Agriculture and Science, University of KwaZulu-Natal, Westville, South Africa. Ghai@ukzn.ac.za.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mounting evidence supports population-specific variation in the microbiome. This study applied PacBio HiFi 16S rRNA amplicon sequencing to profile the oral microbiome of 62 individuals (aged 18-55 years) from the four major South African population groups (Black, Coloured, Indian and White). Bioinformatics analysis was performed using QIIME2 with taxonomic classification based on the SILVA database. Across all groups, Firmicutes was the most dominant phylum (80.92%), followed by Proteobacteria (8.94%) and Bacteroidota (4.22%). A total of 236 genera and 376 species were identified. Veillonella was the most abundant genus (27.57%), followed by Streptococcus (25.08%) and Granulicatella (15.54%). Streptococcus (30.40%) and Veillonella (41.82%) were the most abundant in the Indian and Coloured populations, respectively. Significant microbiome variation was observed between groups (β-diversity, p < 0.001), highlighting distinct population-specific microbial profiles. The Coloured population exhibited the highest microbiome diversity, likely due to complex genetic makeup and diverse cultural influences. The White population displayed the lowest microbiome diversity, likely due to more uniform lifestyle patterns. Despite these differences, three bacterial species, namely, Streptococcus salivarius, Veillonella atypica, and Prevotella melaninogenica were present in the majority of individuals across the populations, suggesting a core component of the South African oral microbiome. No significant associations were observed between factors such as sex, age, diet antibiotic use, lifestyle and oral microbiome variation. Several undetermined factors, such as psychological factors, stress, level of exercise, host genetics and immunity, could have contributed to the observed diversity. Our results present the first report of oral microbiome analysis of healthy South African populations by PacBio HiFi sequencing and warrant further research to provide insight into how these differences influence health disparities and potential application in forensics. KEY POINTS: • First report of the oral microbiome of healthy South Africans by PacBio HiFi sequencing • S. salivarius, P. melaninogenica and V. atypica define South Africa's core oral microbiome • Population-specific microbiome signatures can guide forensics and health research.

Indexed as

BacteriaMicrobiotaMouthAdolescentAdultBiodiversityBlack PeopleComputational BiologyDNA, BacterialFemaleHumansMaleMiddle AgedPhylogenyRNA, Ribosomal, 16SSequence Analysis, DNADNA, BacterialRNA, Ribosomal, 16SMicrobiome profilingPacBio HiFi sequencingSalivaSouth African population

Identifiers

PMID41535594
PMCPMC12808187

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.