Evidence map›Paper›PMID 25387206›Full record

ArticleThe ISME journal2015

Evolution of species interactions determines microbial community productivity in new environments.

Francesca Fiegna, Alejandra Moreno-Letelier, Thomas Bell, Timothy G Barraclough

Abstract read
In one paragraph

Article in The ISME journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers.

0numbers the graph read from it
0cells of the map it votes in
69citing 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

69 citing papers in PubMed.

  1. Article
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  7. COmmunity and Single Microbe Optimisation System (COSMOS).NPJ systems biology and applications · 2025
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  9. Review
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  15. Parallel ecological and evolutionary responses to selection in a natural bacterial community.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

9 more citing papers are in PubMed but not listed here.

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.

Francesca FiegnaDepartment of Life Sciences, Imperial College London, Ascot, Berkshire, UK.
Alejandra Moreno-LetelierDepartment of Life Sciences, Imperial College London, Ascot, Berkshire, UK.
Thomas BellDepartment of Life Sciences, Imperial College London, Ascot, Berkshire, UK.
Timothy G BarracloughDepartment of Life Sciences, Imperial College London, Ascot, Berkshire, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diversity generally increases ecosystem productivity over short timescales. Over longer timescales, both ecological and evolutionary responses to new environments could alter productivity and diversity-productivity relationships. In turn, diversity might affect how component species adapt to new conditions. We tested these ideas by culturing artificial microbial communities containing between 1 and 12 species in three different environments for ∼60 generations. The relationship between community yields and diversity became steeper over time in one environment. This occurred despite a general tendency for the separate yields of isolates of constituent species to be lower at the end if they had evolved in a more diverse community. Statistical comparisons of community and species yields showed that species interactions had evolved to be less negative over time, especially in more diverse communities. Diversity and evolution therefore interacted to enhance community productivity in a new environment.

Indexed as

Biological EvolutionEnvironmental MicrobiologyBiodiversityBiomassEcologyEcosystemGenes, BacterialHydrogen-Ion ConcentrationPlant RootsSpecies SpecificityTrees

Identifiers

PMID25387206
PMCPMC4409166

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.