Evidence map›Paper›PMID 42164313›Full record

ArticleISME communications2026

Small-scale biogeography of biofilms and its implications for sequencing-based studies.

Marco Gabrielli, Frederik Hammes

Abstract read
In one paragraph

Article in ISME communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Marco GabrielliDepartment of Environmental Microbiology, Eawag, Swiss Federal Institute of Aquatic Science and Technology, CH-8600 Duebendorf (ZH), Switzerland.ORCID https://orcid.org/0000-0003-3885-3079
Frederik HammesDepartment of Environmental Microbiology, Eawag, Swiss Federal Institute of Aquatic Science and Technology, CH-8600 Duebendorf (ZH), Switzerland.ORCID https://orcid.org/0000-0002-4596-4917

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biofilm microbial communities are characterized by spatial heterogeneity arising in response to environmental characteristics, random events, and the metabolic requirements of their inhabitants, which create biogeographical patterns at both large and small scales. While the impact of small-scale biogeography on several emergent biofilm properties has been characterized by a variety of laboratory studies using simple synthetic communities, the extent of small-scale biogeography in environmental biofilms and its impact on sequencing-based studies remain poorly characterized. Here, we investigate centimeter-scale biogeography in potable water biofilms developed in environments with distinct levels of heterogeneity. We then estimate microbial diversity at scales relevant for microbial interactions and characterize the impact of sampling strategies on both alpha and beta diversity metrics, as well as on inferred co-occurrences and scaling laws. Our results show that biofilm sections in seemingly homogeneous environments are characterized by similar biogeographic patterns as the ones in more heterogeneous environments, albeit with lower cm-scale variability. We estimated that, despite the overall richness over the entire biofilm, single cells are surrounded by local neighborhoods of limited diversity, strongly limiting their possibility for diverse interactions. Larger sampling areas average such local heterogeneities and distort community structure estimates, leading to an inflated and erroneous estimation of co-occurrences and potential metabolic interactions. Finally, we report how both environmental heterogeneity and sample area size influence scaling law performances. Our results highlight the ubiquitous nature of biofilm biogeography and call for the adaptation of biofilm sampling strategies to consider this phenomenon relative to specific research questions.

Indexed as

biofilmsbiogeographyenvironmental heterogeneitymonitoring strategies

Identifiers

PMID42164313
PMCPMC13184973

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 OpenQuestion graph.