Evidence map›Paper›PMID 29233970›Full record

ArticleNature communications2017

Dynamical trade-offs arise from antagonistic coevolution and decrease intraspecific diversity.

Weini Huang, Arne Traulsen, Benjamin Werner, Teppo Hiltunen, Lutz Becks

Abstract read
In one paragraph

Article in Nature communications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  4. Article
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  8. Article
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  13. No major cost of evolved survivorship inProceedings. Biological sciences · 2022
    Article
  14. Review
  15. Article
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  17. Article
  18. Review
  19. Article
  20. Life History Trade-Offs in Tumors.Current pathobiology reports · 2018
    Review
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

5 authors.

Weini HuangGroup of Theoretical Biology, The State Key Laboratory of Biocontrol, School of Life Science, Sun Yat-sen University, Guangzhou, 510060, China. weini.huang@qmul.ac.uk.
Arne TraulsenDepartment of Evolutionary Theory, Max Planck Institute for Evolutionary Biology, August-Thienemann-Straße 2, 24306, Plön, Germany.ORCID http://orcid.org/0000-0002-0669-5267
Benjamin WernerDepartment of Evolutionary Theory, Max Planck Institute for Evolutionary Biology, August-Thienemann-Straße 2, 24306, Plön, Germany.
Teppo HiltunenDepartment of Microbiology, University of Helsinki, P.O. Box 56, 00014, Helsinki, Finland.
Lutz BecksCommunity Dynamics Group, Department of Evolutionary Ecology, Max Planck Institute for Evolutionary Biology, August-Thienemann-Straße 2, 24306, Plön, Germany.ORCID http://orcid.org/0000-0002-3885-5253

Funding

Cancer Research UK
6 · The paper itself

Abstract

Trade-offs play an important role in evolution. Without trade-offs, evolution would maximize fitness of all traits leading to a "master of all traits". The shape of trade-offs has been shown to determine evolutionary trajectories and is often assumed to be static and independent of the actual evolutionary process. Here we propose that coevolution leads to a dynamical trade-off. We test this hypothesis in a microbial predator-prey system and show that the bacterial growth-defense trade-off changes from concave to convex, i.e., defense is effective and cheap initially, but gets costly when predators coevolve. We further explore the impact of such dynamical trade-offs by a novel mathematical model incorporating de novo mutations for both species. Predator and prey populations diversify rapidly leading to higher prey diversity when the trade-off is concave (cheap). Coevolution results in more convex (costly) trade-offs and lower prey diversity compared to the scenario where only the prey evolves.

Indexed as

Models, BiologicalAdaptation, PhysiologicalAnimalsBacteriaBiological CoevolutionModels, TheoreticalMutationMutation RatePhenotypePredatory BehaviorPseudomonas fluorescensTetrahymena thermophila

Identifiers

PMID29233970
PMCPMC5727225

What OpenQuestion holds

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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.