ArticleProceedings. Biological sciences2025
From friend to foe and back: coevolutionary transitions in the mutualism-antagonism continuum.
Article in Proceedings. Biological sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
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.
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Who cites it
1 citing paper in PubMed.
- From friend to foe and back: coevolutionary transitions in the mutualism-antagonism continuum.Proceedings. Biological sciences · 2025Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Interspecific interactions evolve along a continuum ranging from mutualism to antagonism. Evolutionary theory so far has focussed mostly on parts of this continuum, notably on mechanisms that enable and stabilize mutualism. These mechanisms often involve partner discrimination, ensuring that interaction intensity is higher with more cooperative partners. However, the gradual trajectory of coevolutionary transitions between mutualism and antagonism remains unclear. Here, we model how discrimination ability in one partner coevolves with mutualistic service provided by the other and analyse the resulting evolutionary trajectories in the mutualism-antagonism continuum. We show that strong ecological change, such as a radical host shift or colonization of a new environment, can trigger transitions in both directions including back-and-forth transitions between antagonism and mutualism. Moreover, we find an evolutionary tipping point: a stable mutualism may break down to antagonism if the cost of either mutualistic service or discrimination ability gradually increases above a threshold beyond which this transition cannot be reversed by reducing costs again. Our study provides a new perspective on the evolution of biotic interactions and, hence, on the dynamic structure of ecological networks.
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Registered trials
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