Evidence map›Paper›PMID 41604220›Full record

ArticleJournal of industrial microbiology & biotechnology2026

The biosynthetic gene cluster landscape of the oral microbiome across health and dental caries.

McKenna Loop Yao, Peijun Lin, Kailey Hua, Wenjun Zhang

Abstract read
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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.

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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

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

McKenna Loop YaoDepartment of Chemical and Biomolecular Engineering, University of California, Berkeley, Berkeley, CA 94720, United States.ORCID 0009-0008-8310-0635
Peijun LinCollege of Computing, Data Science, and Society, University of California, Berkeley, Berkeley, CA 94720, United States.
Kailey HuaDepartment of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213, United States.ORCID 0009-0003-3508-833X
Wenjun ZhangDepartment of Chemical and Biomolecular Engineering, University of California, Berkeley, Berkeley, CA 94720, United States.ORCID 0000-0001-9348-972X

Funding

Bioactive natural product discovery from human oral microbesR01DE032732 · NIDCR · UNIVERSITY OF CALIFORNIA BERKELEY · PI Wenjun Zhang · 2024 to 2026
$1.1M
National Science Foundation No. DGE2146752NIDCR NIH HHS R01 DE032732NIH HHS R01DE032732University of California
6 · The paper itself

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

BacteriaBiosynthetic PathwaysDental CariesMicrobiotaMouthMultigene FamilyHumansMetagenomeMetagenomicscomputational omicsnatural productsoral microbiome

Identifiers

PMID41604220
PMCPMC13455363

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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.