Evidence map›Paper›PMID 32200752›Full record

ReviewPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2020

Community coalescence: an eco-evolutionary perspective.

Meaghan Castledine, Pawel Sierocinski, Daniel Padfield, Angus Buckling

Abstract readReview
In one paragraph

Review in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

  1. Review
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  4. The fungal pathogenISME communications · 2026
    Article
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  7. Review
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  15. Review
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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

4 authors.

Meaghan CastledineCollege of Life and Environmental Sciences, Environment and Sustainability Institute, University of Exeter, Penryn, Cornwall TR10 9EZ, UK.
Pawel SierocinskiCollege of Life and Environmental Sciences, Environment and Sustainability Institute, University of Exeter, Penryn, Cornwall TR10 9EZ, UK.
Daniel PadfieldCollege of Life and Environmental Sciences, Environment and Sustainability Institute, University of Exeter, Penryn, Cornwall TR10 9EZ, UK.
Angus BucklingCollege of Life and Environmental Sciences, Environment and Sustainability Institute, University of Exeter, Penryn, Cornwall TR10 9EZ, UK.

Funding

Biotechnology and Biological Sciences Research CouncilMedical Research Council
6 · The paper itself

Abstract

Community coalescence, the mixing of different communities, is widespread throughout microbial ecology. Coalescence can result in approximately equal contributions from the founding communities or dominance of one community over another. These different outcomes have ramifications for community structure and function in natural communities, and the use of microbial communities in biotechnology and medicine. However, we have little understanding of when a particular outcome might be expected. Here, we integrate existing theory and data to speculate on how a crucial characteristic of microbial communities-the type of species interaction that dominates the community-might affect the outcome of microbial community coalescence. Given the often comparable timescales of microbial ecology and microevolution, we explicitly consider ecological and evolutionary dynamics, and their interplay, in determining coalescence outcomes. This article is part of the theme issue 'Conceptual challenges in microbial community ecology'.

Indexed as

Biological EvolutionLife History TraitsMicrobiotacommunity coalescencecommunity - evolutionary ecologycommunity stabilitycompetitioneco-evolutionniche-packing

Identifiers

PMID32200752
PMCPMC7133537

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.