Evidence map›Paper›PMID 27282316›Full record

ReviewEcology letters2016

How mutualisms arise in phytoplankton communities: building eco-evolutionary principles for aquatic microbes.

Elena Kazamia, Katherine Emma Helliwell, Saul Purton, Alison Gail Smith

Abstract readReview
In one paragraph

Review in Ecology letters, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

41 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Host-microbiome interaction in fish and shellfish: An overview.Fish and shellfish immunology reports · 2023
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. A mutant fitness assay identifies bacterial interactions in a model ocean hot spot.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  13. Plants (Basel, Switzerland) · 2023
    Review
  14. Article
  15. Exchange of Vitamin BJournal of bacteriology · 2022
    Article
  16. Review
  17. Iron-dependent mutualism betweenISME communications · 2022
    Article
  18. Frontiers in microbiology · 2022
    Article
  19. Article
  20. 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

4 authors.

Elena KazamiaDepartment of Plant Sciences, University of Cambridge, Downing Street, Cambridge, CB2 3EA, UK.
Katherine Emma HelliwellDepartment of Plant Sciences, University of Cambridge, Downing Street, Cambridge, CB2 3EA, UK.
Saul PurtonInstitute of Structural and Molecular Biology, University College London, Gower Street, London, WC1E 6BT, UK.
Alison Gail SmithDepartment of Plant Sciences, University of Cambridge, Downing Street, Cambridge, CB2 3EA, UK.

Funding

Biotechnology and Biological Sciences Research Council BB/I013164/1
6 · The paper itself

Abstract

Extensive sampling and metagenomics analyses of plankton communities across all aquatic environments are beginning to provide insights into the ecology of microbial communities. In particular, the importance of metabolic exchanges that provide a foundation for ecological interactions between microorganisms has emerged as a key factor in forging such communities. Here we show how both studies of environmental samples and physiological experimentation in the laboratory with defined microbial co-cultures are being used to decipher the metabolic and molecular underpinnings of such exchanges. In addition, we explain how metabolic modelling may be used to conduct investigations in reverse, deducing novel molecular exchanges from analysis of large-scale data sets, which can identify persistently co-occurring species. Finally, we consider how knowledge of microbial community ecology can be built into evolutionary theories tailored to these species' unique lifestyles. We propose a novel model for the evolution of metabolic auxotrophy in microorganisms that arises as a result of symbiosis, termed the Foraging-to-Farming hypothesis. The model has testable predictions, fits several known examples of mutualism in the aquatic world, and sheds light on how interactions, which cement dependencies within communities of microorganisms, might be initiated.

Indexed as

Biological EvolutionMicrobiotaModels, BiologicalSymbiosisEcologyFood ChainMicroalgaePhytoplanktonEco-evolutionary dynamicsForaging-to-Farming hypothesismetabolite exchangemetagenomicsmicrobial communitiesmutualismphytoplanktonvitamins

Identifiers

PMID27282316
PMCPMC5103174

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.