Evidence map›Paper›PMID 41315665›Full record

ArticleScientific reports2025

Spatial and functional differentiation of microbial biofilms in a traditional cheese ripening environment.

Weronika Goraj, Katarzyna Kagan, Agnieszka Kuźniar, Artur Banach, Sara Jurczyk, Jacek Podlewski, Agnieszka Wolińska

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Article in Scientific reports, 2025. 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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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.

2 · The registry

The trial behind it

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Weronika GorajDepartment of Microbiology and Translational Medicine, The John Paul II Catholic University of Lublin, Konstantynów 1 I St, Lublin, 20-708, Poland. weronika.goraj@kul.pl.
Katarzyna KaganDepartment of Microbiology and Translational Medicine, The John Paul II Catholic University of Lublin, Konstantynów 1 I St, Lublin, 20-708, Poland.
Agnieszka KuźniarLaboratory of Genomics and Genetic, The John Paul II Catholic University of Lublin, Konstantynów 1 I St, Lublin, 20-708, Poland.
Artur BanachDepartment of Microbiology and Translational Medicine, The John Paul II Catholic University of Lublin, Konstantynów 1 I St, Lublin, 20-708, Poland.
Sara JurczykDepartment of Artificial Intelligence, The John Paul II Catholic University of Lublin, Konstantynów 1 H St, Lublin, 20-708, Poland.
Jacek PodlewskiPotulicka Foundation, Wojnowo 5, Sicienko, 86-014, Poland.
Agnieszka WolińskaDepartment of Microbiology and Translational Medicine, The John Paul II Catholic University of Lublin, Konstantynów 1 I St, Lublin, 20-708, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biofilms in historic buildings represent stable microbial ecosystems shaped by long-term environmental filtering. We investigated bacterial and fungal communities forming biofilms on walls and ceilings in a 19th-century cheese ripening cellar in Poland, characterized by low temperature, high humidity, and minimal light - conditions resembling natural subterranean habitats. Using high-throughput 16 S rRNA and ITS sequencing, we revealed distinct taxonomic and predicted functional profiles associated with surface type (wall vs. ceiling) and material (brick vs. stone). The wall biofilms exhibited greater taxonomic and functional diversity, with enrichment in heterotrophic, fermentative, and polymer-degrading taxa and pathways, whereas ceiling biofilms showed predicted enrichment in aerobic, stress-tolerant, and potentially methanogenic lineages. The co-occurrence network analysis revealed more complex and tightly connected associations in wall biofilms, dominated by Actinobacteriota (21-97%) and Ascomycota (60-97%), suggesting stable ecological organization despite the limited sample size. Environmental factors, such as pH, redox potential, and electrolytical conductivity, explained a substantial proportion of the variance in the microbial diversity and predicted functional traits. Overall, this study highlights traditional ripening cellars as semi-natural built ecosystems that sustain specialized, spatially structured microbiomes. The results provide new insights into microbial adaptation, functional potential, and ecological resilience in heritage food environments.

Indexed as

BacteriaBiofilmsCheeseFungiBiodiversityEcosystemMicrobiotaPolandRNA, Ribosomal, 16SRNA, Ribosomal, 16SBacterial microbiomeBiofilmsBuilt environment microbiomeMetagenomicsMycobiomeRipening rooms

Identifiers

PMID41315665
PMCPMC12753809

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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.