Evidence map›Paper›PMID 39955594›Full record

ArticleEnvironmental microbiome2025

Spatiotemporal dynamics reveal high turnover and contrasting assembly processes in fungal communities across contiguous habitats of tropical forests.

Chieh-Ping Lin, Yu-Fei Lin, Yu-Ching Liu, Mei-Yeh Jade Lu, Huei-Mien Ke, Isheng Jason Tsai

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Article in Environmental microbiome, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Annual Dynamics of Mycobiota in Symptomatic Century-Old Trees ofJournal of fungi (Basel, Switzerland) · 2026
    Article
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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Chieh-Ping LinBiodiversity Research Center, Academia Sinica, Taipei, Taiwan.
Yu-Fei LinBiodiversity Research Center, Academia Sinica, Taipei, Taiwan.
Yu-Ching LiuBiodiversity Research Center, Academia Sinica, Taipei, Taiwan.
Mei-Yeh Jade LuBiodiversity Research Center, Academia Sinica, Taipei, Taiwan.
Huei-Mien KeDepartment of Microbiology, Soochow University, Taipei, Taiwan.
Isheng Jason TsaiBiodiversity Research Center, Academia Sinica, Taipei, Taiwan. ijtsai@gate.sinica.edu.tw.

Funding

Academia Sinica AS-IA-113-L04National Science and Technology Council 113-2628-B-001-002
6 · The paper itself

Abstract

backgroundThe variation in fungal community composition within a single habitat space has been extensively studied in forest ecosystems. However, the spatial and temporal distribution of fungi across contiguous habitats, particularly at a local scale and in tropical regions, remains underexplored. In this study, we examined the fungal community composition across multiple habitats proximal to each other over two seasons in seven Fagaceae species in Taiwanese broadleaf forests. We tested how local spatial scale and habitat influence community assembly.

resultsUsing a metabarcoding approach, we sequenced ITS2 regions from 864 samples collected from four distinct habitats-leaves, twigs, litter, and soil. We identified 11,600 fungal amplicon sequence variants (ASVs), with community composition differing significantly between habitats proximal to each other. Generalized dissimilarity modeling (GDM) revealed that spatial distance, interacting with precipitation, was the strongest predictor of fungal turnover, particularly in the phyllosphere. Normalized Stochasticity Ratio (NST) analyses further highlighted contrasting assembly processes, with deterministic influences dominating in the phyllosphere habitat, while stochasticity prevailed in soil and litter. Random forest analysis accurately classified habitats based on ASVs' relative abundances, with strong predictors were mostly habitat-specific ASVs prevalent in soil. Misclassified samples were due to secondary contact of fungi between adjacent habitats. Co-occurrence network analysis revealed more complex and deterministic networks in leaf and twig habitats, while soil was driven by stochastic processes and contained most habitat-specific ASVs. A Cladosporium sp. emerged as a keystone species, maintaining network stability across forests.

conclusionThis study reveals how local spatial variation and habitat shape distinct fungal communities in tropical forests, with deterministic processes dominating in some habitats and stochasticity playing a key role in others. We show extremely high turnover in fungal community are present over very short distances and that local fungal taxa are strong habitat predictors. These findings highlight the importance of studying coexisting habitats to gain a deeper understanding of fungal biogeography and ecosystem function.

Identifiers

PMID39955594
PMCPMC11830174

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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.