Evidence map›Paper›PMID 36793505›Full record

ArticleInterface focus2023

Biofilm thickness controls the relative importance of stochastic and deterministic processes in microbial community assembly in moving bed biofilm reactors.

S Jane Fowler, Elena Torresi, Arnaud Dechesne, Barth F Smets

Open access · hybridAbstract read
In one paragraph

Article in Interface focus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.0field-weighted citation impact, top 10% of its field
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

5 citing papers in PubMed, 12 citations in OpenAlex.

  1. How to quantify immigration from community abundance data using the neutral community model.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. Article
  3. Biofilm characterization and dynamic simulation of advanced rope media reactor for the treatment of primary effluent.Water environment research : a research publication of the Water Environment Federation · 2024
    Article
  4. Article
  5. Article
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

4 authors at 3 institutions in 3 countries.

S Jane FowlerDepartment of Biological Sciences, Simon Fraser University, BC V5A 1S6, Canada.ORCID 0000-0003-3178-0743
Elena TorresiVeolia Water Technologies, Lund, Sweden.
Arnaud DechesneDepartment of Environmental Engineering, Technical University of Denmark, 2800 Kgs Lyngby, Denmark.
Barth F SmetsDepartment of Environmental Engineering, Technical University of Denmark, 2800 Kgs Lyngby, Denmark.
Technical University of Denmark · DKSimon Fraser University · CAVeolia (Sweden) · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Deterministic and stochastic processes are believed to play a combined role in microbial community assembly, though little is known about the factors determining their relative importance. We investigated the effect of biofilm thickness on community assembly in nitrifying moving bed biofilm reactors using biofilm carriers where maximum biofilm thickness is controlled. We examined the contribution of stochastic and deterministic processes to biofilm assembly in a steady state system using neutral community modelling and community diversity analysis with a null-modelling approach. Our results indicate that the formation of biofilms results in habitat filtration, causing selection for phylogenetically closely related community members, resulting in a substantial enrichment of

Indexed as

biofilmcommunity assemblymoving bed biofilm reactorneutral modelnitrification

Identifiers

PMID36793505
PMCPMC9912012
OpenAlexW4320077564

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.