A curated bacterial and archaeal 16S rRNA Gene Oral Sequences dataset

In a given species, genomes and 16S rRNA gene sequences, along with their intragenomic copy numbers, can vary greatly across environments. The gene copy numbers are crucial for technologies which estimate microbial abundances based on gene counts, such as polymerase chain reaction and high-throughput sequencing. In these, taxa with fewer genes may be underestimated, while those with more genes might be overestimated. Therefore, it is essential to have accurate gene copy number databases specific to the niche under study. The 16S rRNA Gene Oral Sequences dataset (16SGOSeq) contains the number of 16S rRNA genes and their variants in the complete genomes of the bacterial and archaeal species present in the human oral cavity. It includes 3,192 complete genomes of oral bacteria and 191 complete genomes of oral archaea, from which the 16S rRNA gene sequences were extracted, and the sequence variants were identified. This oral-specific dataset of prokaryotic organisms and the pipeline followed for its construction can be applied by clinical microbiologists, bioinformaticians, or microbial ecologists in future microbiome research.

Authors

Institutions

Publication Details

Journal
Scientific Data
Published
2025-05-02
DOI
https://doi.org/10.1038/s41597-025-05050-4
Primary Topic
Gut microbiota and health
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A curated bacterial and archaeal 16S rRNA Gene Oral Sequences dataset

Carlos Balsa‐Castro, Alba Regueira‐Iglesias, Lara Vázquez-González, Marı́a J. Carreira et al.
Scientific Data
Gut microbiota and health
article

A curated bacterial and archaeal 16S rRNA Gene Oral Sequences dataset

Carlos Balsa‐Castro, Alba Regueira‐Iglesias, Lara Vázquez-González, Marı́a J. Carreira, Inmaculada Tomás
article en

Abstract

In a given species, genomes and 16S rRNA gene sequences, along with their intragenomic copy numbers, can vary greatly across environments. The gene copy numbers are crucial for technologies which estimate microbial abundances based on gene counts, such as polymerase chain reaction and high-throughput sequencing. In these, taxa with fewer genes may be underestimated, while those with more genes might be overestimated. Therefore, it is essential to have accurate gene copy number databases specific to the niche under study. The 16S rRNA Gene Oral Sequences dataset (16SGOSeq) contains the number of 16S rRNA genes and their variants in the complete genomes of the bacterial and archaeal species present in the human oral cavity. It includes 3,192 complete genomes of oral bacteria and 191 complete genomes of oral archaea, from which the 16S rRNA gene sequences were extracted, and the sequence variants were identified. This oral-specific dataset of prokaryotic organisms and the pipeline followed for its construction can be applied by clinical microbiologists, bioinformaticians, or microbial ecologists in future microbiome research.

Scientific DataVol. 12(1)
Universidade de Santiago de Compostela (ES), Center for Research in Molecular Medicine and Chronic Diseases (ES), Instituto de Investigación Sanitaria de Santiago (ES)
European Commission, Consellería de Cultura, Educación e Ordenación Universitaria, Xunta de Galicia, Xunta de Galicia, Instituto de Salud Carlos III, European Regional Development Fund
Life in Land
Openalex Percentile: Top 92%
Gut microbiota and health
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A curated bacterial and archaeal 16S rRNA Gene Oral Sequences dataset — Carlos Balsa‐Castro, Alba Regueira‐Iglesias, et al. · Scientific Data (2025) | TGRS Research Map | TGRS