Evidence map›Paper›PMID 37938271›Full record

ArticleISME communications2022

Network traits predict ecological strategies in fungi.

C A Aguilar-Trigueros, L Boddy, M C Rillig, M D Fricker

Abstract read
In one paragraph

Article in ISME communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Review
  2. A phase oscillator model of cell cycles reveals nuclear density control in a branched fungal network.Proceedings of the National Academy of Sciences of the United States of America · 2026
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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

4 authors.

C A Aguilar-TriguerosFreie Universität Berlin, Institut für Biologie, Altensteinstraße 6, 14195, Berlin, Germany. calgit@gmail.com.ORCID http://orcid.org/0000-0003-0512-9500
L BoddySchool of Biosciences, Sir Martin Evans Building, Cardiff University, CF10 3AX, Cardiff, UK.ORCID http://orcid.org/0000-0003-1845-6738
M C Rillig *Freie Universität Berlin, Institut für Biologie, Altensteinstraße 6, 14195, Berlin, Germany.ORCID http://orcid.org/0000-0003-3541-7853
M D Fricker *Department of Plant Sciences, University of Oxford, South Parks Road, OX1 3RB, Oxford, UK.ORCID http://orcid.org/0000-0002-8942-6897

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colonization of terrestrial environments by filamentous fungi relies on their ability to form networks that can forage for and connect resource patches. Despite the importance of these networks, ecologists rarely consider network features as functional traits because their measurement and interpretation are conceptually and methodologically difficult. To address these challenges, we have developed a pipeline to translate images of fungal mycelia, from both micro- and macro-scales, to weighted network graphs that capture ecologically relevant fungal behaviour. We focus on four properties that we hypothesize determine how fungi forage for resources, specifically: connectivity; relative construction cost; transport efficiency; and robustness against attack by fungivores. Constrained ordination and Pareto front analysis of these traits revealed that foraging strategies can be distinguished predominantly along a gradient of connectivity for micro- and macro-scale mycelial networks that is reminiscent of the qualitative 'phalanx' and 'guerilla' descriptors previously proposed in the literature. At one extreme are species with many inter-connections that increase the paths for multidirectional transport and robustness to damage, but with a high construction cost; at the other extreme are species with an opposite phenotype. Thus, we propose this approach represents a significant advance in quantifying ecological strategies for fungi using network information.

Identifiers

PMID37938271
PMCPMC9723744

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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.