Evidence map›Paper›PMID 39835901›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

The evolution of signaling and monitoring in plant-fungal networks.

Thomas W Scott, E Toby Kiers, Stuart A West

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

3 authors.

Thomas W ScottDepartment of Biology, University of Oxford, Oxford OX1 3SZ, United Kingdom.ORCID 0000-0002-5941-3905
E Toby KiersAmsterdam Institute for Life and Environment, Vrije Universiteit Amsterdam, Amsterdam 1081 HV, the Netherlands.
Stuart A WestDepartment of Biology, University of Oxford, Oxford OX1 3SZ, United Kingdom.ORCID 0000-0003-2152-3153

Funding

EC | European Research Council (ERC) 771387EC | European Research Council (ERC) 834164European Research Council 834164Human Frontier Science Program (HFSP) RGP 0029NWO-VICI 202.012UKRI | Natural Environment Research Council (NERC) NE/V011537/1
6 · The paper itself

Abstract

Experiments have shown that when one plant is attacked by a pathogen or herbivore, this can lead to other plants connected to the same mycorrhizal network up-regulating their defense mechanisms. It has been hypothesized that this represents signaling, with attacked plants producing a signal to warn other plants of impending harm. We examined the evolutionary plausibility of this and other hypotheses theoretically. We found that the evolution of plant signaling about an attack requires restrictive conditions, and so will rarely be evolutionarily stable. The problem is that signaling about an attack provides a benefit to competing neighbors, even if they are kin, and so reduces the relative fitness of signaling plants. Indeed, selection is often more likely to push plant behavior in the opposite direction-with plants signaling dishonestly about an attack that has not occurred, or suppressing a cue that they have been attacked. Instead, we show that there are two viable alternatives that could explain the empirical data: 1) the process of being attacked leads to a cue (information about the attack) which is too costly for the attacked plant to fully suppress; 2) mycorrhizal fungi monitor their host plants, detect when they are attacked, and then the fungi signal this information to warn other plants in their network. Our results suggest the empirical work that would be required to distinguish between these possibilities.

Indexed as

Biological EvolutionCell CommunicationHerbivoryModels, BiologicalMycorrhizaeAnimalsSeed DispersalSignal Transductioncooperationevolutionary theoryplant-fungal networkssignalingsocial evolution

Identifiers

PMID39835901
PMCPMC7617349

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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.