Evidence map›Paper›PMID 39935359›Full record

ArticleEcology2025

Idiosyncratic responses to biotic and environmental filters in wood-inhabiting fungal communities.

Sonja Saine, Reijo Penttilä, Tadashi Fukami, Brendan Furneaux, Tuija Hytönen, Otto Miettinen, Norman Monkhouse, Raisa Mäkipää, Jorma Pennanen, Evgeny V Zakharov and 2 more

Abstract read
In one paragraph

Article in Ecology, 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
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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

12 authors.

Sonja SaineDepartment of Agricultural Sciences, University of Helsinki, Helsinki, Finland.ORCID https://orcid.org/0000-0002-4925-5878
Reijo PenttiläNatural Resources Institute Finland (Luke), Helsinki, Finland.
Tadashi FukamiDepartment of Biology and Earth System Science, Stanford University, Stanford, California, USA.ORCID https://orcid.org/0000-0001-5654-4785
Brendan FurneauxDepartment of Biological and Environmental Science, University of Jyväskylä, Jyväskylä, Finland.ORCID https://orcid.org/0000-0003-3522-7363
Tuija HytönenNatural Resources Institute Finland (Luke), Helsinki, Finland.
Otto MiettinenFinnish Museum of Natural History, University of Helsinki, Helsinki, Finland.
Norman MonkhouseThe Canadian Centre for DNA Barcoding, Centre for Biodiversity Genomics, University of Guelph, Guelph, Ontario, Canada.
Raisa MäkipääNatural Resources Institute Finland (Luke), Helsinki, Finland.
Jorma PennanenNatural Resources Institute Finland (Luke), Helsinki, Finland.
Evgeny V ZakharovThe Canadian Centre for DNA Barcoding, Centre for Biodiversity Genomics, University of Guelph, Guelph, Ontario, Canada.
Otso OvaskainenDepartment of Biological and Environmental Science, University of Jyväskylä, Jyväskylä, Finland.ORCID https://orcid.org/0000-0001-9750-4421
Nerea AbregoDepartment of Agricultural Sciences, University of Helsinki, Helsinki, Finland.ORCID https://orcid.org/0000-0001-6347-6127

Funding

H2020 European Research Council 856506Helsingin Yliopiston TiedesäätiöHelsinki University LibraryKoneen SäätiöNatural Resources Institute Finland 337655Natural Resources Institute Finland 357909Research Council of Finland 308651Research Council of Finland 336212Research Council of Finland 342374Research Council of Finland 345110University of Helsinki Three-Year Grant Programme
6 · The paper itself

Abstract

Quantification of different processes affecting the assembly of ecological communities remains challenging, especially in species-rich communities. While the role of environmental filtering has generally been well established, fewer studies have experimentally shown how other ecological assembly processes, such as biotic filtering, structure species-rich communities. Here, we studied the relative roles of biotic and environmental filtering in the colonization of wood-inhabiting fungi, a species-rich, highly interactive, and environment-sensitive group of species. We conducted a field experiment where we simulated colonization with inoculations of nine fungal species in habitat patches (i.e., logs) with varying biotic and abiotic conditions. We characterized the local resident communities before the inoculations and the colonization success of the inoculated species after one and two years using DNA metabarcoding. We asked what determined the colonization success of the inoculated species by comparing the predictive performance of alternative models. These models included either only abiotic environmental predictors (i.e., physical log properties) or additionally different aspects of the resident fungal communities (i.e., resident fungal species richness, community composition, and DNA amount) as biotic predictors. While all nine species successfully colonized the logs, the rate of success and the factors explaining their colonization success varied among species. The colonization success of four of the inoculated species was explained mostly by the abiotic environmental variables, while the colonization success of three species was additionally explained by the resident communities. The influential biotic predictors varied from the presence of individual species to the collective presence of multiple species. Finally, for two of the inoculated species, all the models showed poor predictive performance. Our results indicate how environmental and biotic filtering may jointly structure species-rich communities. Overall, the results show that species vary idiosyncratically in their response to biotic and environmental factors, highlighting the need to consider the complexity of species-level responses when predicting community-level changes.

Indexed as

EcosystemFungiMycobiomeWoodModels, BiologicalSpecies Specificitycolonizationcommunity assemblyenvironmental conditionsfield experimentinterspecific interactionsmetacommunitywood‐inhabiting fungi

Identifiers

PMID39935359
PMCPMC11815356

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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.