Evidence map›Paper›PMID 32999708›Full record

ArticleMethods in ecology and evolution2020

The omnistat: A flexible continuous-culture system for prolonged experimental evolution.

David M Ekkers, Filipe Branco Dos Santos, Cyrus A Mallon, Frank Bruggeman, G Sander van Doorn

Abstract read
In one paragraph

Article in Methods in ecology and evolution, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
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  5. FromJournal of fungi (Basel, Switzerland) · 2023
    Review
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  7. Article
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  9. Article
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  12. Article
  13. Adaptive laboratory evolution for growth coupled microbial production.World journal of microbiology & biotechnology · 2020
    Review
  14. 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.

David M EkkersGroningen Institute for Evolutionary Life Sciences University of Groningen Groningen The Netherlands.ORCID https://orcid.org/0000-0001-8092-5246
Filipe Branco Dos SantosMolecular Microbial Physiology Group Faculty of Science Swammerdam Institute for Life Sciences University of Amsterdam Amsterdam The Netherlands.
Cyrus A MallonGroningen Institute for Evolutionary Life Sciences University of Groningen Groningen The Netherlands.
Frank BruggemanSystems Bioinformatics/Amsterdam Institute for Molecules, Medicines and Systems (AIMMS)/Netherlands Institute for Systems Biology VU University Amsterdam The Netherlands.
G Sander van DoornGroningen Institute for Evolutionary Life Sciences University of Groningen Groningen The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbial evolution experiments provide a powerful tool to unravel the molecular basis of adaptive evolution but their outcomes can be difficult to interpret, unless the selective forces that are applied during the experiment are carefully controlled. In this respect, experimental evolution in continuous cultures provides advantages over commonly used sequential batch-culture protocols because continuous cultures allow for more accurate control over the induced selective environment. However, commercial continuous-culture systems are large and expensive, while available DIY continuous-culture systems are not versatile enough to allow for multiple sensors and rigorous stirring.We present a modular continuous-culture system that adopts the commonly used

Indexed as

auxostatbioreactorchemostatcontinuous cultureexperimental evolutionmorbidostatturbidostat

Identifiers

PMID32999708
PMCPMC7508058

What OpenQuestion holds

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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.