ArticleJournal of industrial microbiology & biotechnology2026
The biosynthetic gene cluster landscape of the oral microbiome across health and dental caries.
Article in Journal of industrial microbiology & biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
- Update of
Authors and funding
4 authors.
Funding
Abstract
Specialized metabolites encoded by biosynthetic gene clusters (BGCs) in the oral microbiome remain largely unexplored in the context of oral health and disease. Previous genome-centric surveys have identified hundreds of uncharacterized BGCs in the oral cavity associated with health and disease, but these studies relied on reference genomes and did not capture strain-level variation or the native distribution of BGCs. Here, we assembled three independently sourced metagenomic datasets from healthy and dental caries samples, extracted BGCs and quantified their metagenomic abundance and transcriptional activity. We found that aryl polyene, ribosomally synthesized and posttranslationally modified peptide, and nonribosomal peptide encoding BGCs were the most prominent BGCs identified across the three metagenomic datasets. We grouped the identified BGCs into homology-based gene cluster families (GCFs) and found that specific GCFs were consistently associated with either health or caries across diverse taxa, suggesting that some specialized metabolites may perform conserved ecological functions. Conversely, other BGCs showed more restricted taxonomic distributions and were linked to disease-associated taxa, such as Propionibacterium acidifaciens, suggesting niche-specific biosynthetic capacities within the oral environment. Applying elastic-net regression to the metatranscriptomic dataset further identified a subset of 51 BGCs out >3,000 that distinguished healthy from caries samples, reinforcing the discriminatory power of BGC expression patterns. These results demonstrate that BGCs can provide functional resolution beyond taxonomic profiling and that BGC expression, rather than genomic presence alone, can differentiate oral microbial community states. This underscores the relevance of specialized metabolism to oral health and supports the use of BGC-centric analyses to interrogate microbial interactions underlying community stability and disease-associated shifts. One-sentence summary Specialized metabolites in oral bacteria are differentially expressed in healthy and cavity-affected communities.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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 OpenQuestion graph.