Evidence map›Paper›PMID 23985743›Full record

ArticleThe ISME journal2014

Community history affects the predictability of microbial ecosystem development.

Eulyn Pagaling, Fiona Strathdee, Bryan M Spears, Michael E Cates, Rosalind J Allen, Andrew Free

Abstract read
In one paragraph

Article in The ISME journal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

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  12. Rare soil bacteria are more responsive in desertification restoration than abundant bacteria.Environmental science and pollution research international · 2022
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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

6 authors.

Eulyn Pagaling1] Institute of Cell Biology, School of Biological Sciences, University of Edinburgh, Edinburgh, UK [2] SUPA, School of Physics and Astronomy, University of Edinburgh, Edinburgh, UK.
Fiona Strathdee1] Institute of Cell Biology, School of Biological Sciences, University of Edinburgh, Edinburgh, UK [2] SUPA, School of Physics and Astronomy, University of Edinburgh, Edinburgh, UK.
Bryan M SpearsNERC Centre for Ecology and Hydrology Edinburgh, Penicuik, Midlothian, UK.
Michael E CatesSUPA, School of Physics and Astronomy, University of Edinburgh, Edinburgh, UK.
Rosalind J AllenSUPA, School of Physics and Astronomy, University of Edinburgh, Edinburgh, UK.
Andrew FreeInstitute of Cell Biology, School of Biological Sciences, University of Edinburgh, Edinburgh, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbial communities mediate crucial biogeochemical, biomedical and biotechnological processes, yet our understanding of their assembly, and our ability to control its outcome, remain poor. Existing evidence presents conflicting views on whether microbial ecosystem assembly is predictable, or inherently unpredictable. We address this issue using a well-controlled laboratory model system, in which source microbial communities colonize a pristine environment to form complex, nutrient-cycling ecosystems. When the source communities colonize a novel environment, final community composition and function (as measured by redox potential) are unpredictable, although a signature of the community's previous history is maintained. However, when the source communities are pre-conditioned to their new habitat, community development is more reproducible. This situation contrasts with some studies of communities of macro-organisms, where strong selection under novel environmental conditions leads to reproducible community structure, whereas communities under weaker selection show more variability. Our results suggest that the microbial rare biosphere may have an important role in the predictability of microbial community development, and that pre-conditioning may help to reduce unpredictability in the design of microbial communities for biotechnological applications.

Indexed as

EcosystemEnvironmental MicrobiologyArchaeaBacteriaBiodiversityFresh WaterGeologic SedimentsRNA, Ribosomal, 16SRNA, Ribosomal, 16S

Identifiers

PMID23985743
PMCPMC3869022

What OpenQuestion holds

Textmetadata
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.