Evidence map›Paper›PMID 27139112›Full record

ArticleNature communications2016

Experimental evolution reveals that high relatedness protects multicellular cooperation from cheaters.

Eric Bastiaans, Alfons J M Debets, Duur K Aanen

Abstract read
In one paragraph

Article in Nature communications, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. Article
  2. Review
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  4. TheJournal of fungi (Basel, Switzerland) · 2025
    Article
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  9. Review
  10. The evolutionary ecology of fungal killer phenotypes.Proceedings. Biological sciences · 2023
    Review
  11. Article
  12. Article
  13. Article
  14. Multicellularity in animals: The potential for within-organism conflict.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  15. Article
  16. Article
  17. Article
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  19. 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

3 authors.

Eric BastiaansDepartment of Plant Sciences, Laboratory of Genetics, Wageningen University, Wageningen 6708 PB, The Netherlands.
Alfons J M DebetsDepartment of Plant Sciences, Laboratory of Genetics, Wageningen University, Wageningen 6708 PB, The Netherlands.
Duur K AanenDepartment of Plant Sciences, Laboratory of Genetics, Wageningen University, Wageningen 6708 PB, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In multicellular organisms, there is a potential risk that cheating mutants gain access to the germline. Development from a single-celled zygote resets relatedness among cells to its maximum value each generation, which should accomplish segregation of cheating mutants from non-cheaters and thereby protect multicellular cooperation. Here we provide the crucial direct comparison between high- and low-relatedness conditions to test this hypothesis. We allow two variants of the fungus Neurospora crassa to evolve, one with and one without the ability to form chimeras with other individuals, thus generating two relatedness levels. While multicellular cooperation remains high in the high-relatedness lines, it significantly decreases in all replicate low-relatedness lines, resulting in an average threefold decrease in spore yield. This reduction is caused by cheating mutants with reduced investment in somatic functions, but increased competitive success when fusing with non-cheaters. Our experiments demonstrate that high genetic relatedness is crucial to sustain multicellular cooperation.

Indexed as

Clonal EvolutionMicrobial InteractionsCell ProliferationMutationNeurospora crassaSpores, Fungal

Identifiers

PMID27139112
PMCPMC4857390

What OpenQuestion holds

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Registered trials

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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.