Evidence map›Paper›PMID 24413376›Full record

ArticleScientific reports2014

A mass-spring model unveils the morphogenesis of phototrophic Diatoma biofilms.

K Celler, I Hödl, A Simone, T J Battin, C Picioreanu

Abstract read
In one paragraph

Article in Scientific reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. The ecology and biogeochemistry of stream biofilms.Nature reviews. Microbiology · 2016
    Review
  7. Article
  8. 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

5 authors.

K Celler1] Department of Biotechnology, Delft University of Technology, Julianalaan 67, 2828 BC, Delft, The Netherlands [2] Molecular Biotechnology, Institute of Biology Leiden, Sylvius Laboratories, Leiden University, Sylviusweg 72, 2333 BE, Leiden, The Netherlands.
I HödlDepartment of Limnology and Oceanography, University of Vienna, A-1090 Vienna, Austria.
A SimoneDelft University of Technology, Faculty of Civil Engineering and Geosciences, Delft University of Technology, P.O. Box 5048, 2600 GA, Delft, The Netherlands.
T J BattinDepartment of Limnology and Oceanography, University of Vienna, A-1090 Vienna, Austria.
C PicioreanuDepartment of Biotechnology, Delft University of Technology, Julianalaan 67, 2828 BC, Delft, The Netherlands.

Funding

Austrian Science Fund FWF Y 420
6 · The paper itself

Abstract

Diatoms often dominate planktonic communities in the ocean and phototrophic biofilms in streams and rivers, greatly contributing to global biogeochemical fluxes. In pelagic ecosystems, these microscopic algae can form chain-like microcolonies, which seem advantageous for nutrient uptake and protect against grazing, and at the same time reduce sinking. Despite the capability of many diatoms to form chains, their contribution to the architecture of phototrophic biofilms remains elusive. Here we propose a computational model to simulate the growth and behaviour of Diatoma chains in contrasting flow environments. This mass-spring mechanical model captures the natural behaviour of Diatoma chains well, emphasising the relevance of chain growth and entanglement for biofilm morphogenesis. The model qualitatively describes formation of intricate dome-shaped structures and of dreadlock-type streamers as observed in nature in multidirectional and unidirectional flow, respectively. The proposed model is a useful tool to study the effect of fluid dynamics on biofilm morphogenesis.

Indexed as

BiofilmsDiatomsModels, BiologicalMorphogenesisEcosystemEnvironment

Identifiers

PMID24413376
PMCPMC3888968

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

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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.