Evidence map›Paper›PMID 41044628›Full record

ArticleEnvironmental microbiome2025

Multidimensional sampling framework reveals plant-driven effects on microbial spatial heterogeneity and niche differentiation in a natural ecosystem.

Seong-Jun Chun, Yingshun Cui, Jihoon Kim, Jun-Woo Lee, Kyong-Hee Nam

Abstract read
In one paragraph

Article in Environmental microbiome, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Seong-Jun Chun *Division of Ecological Applications Research, National Institute of Ecology, 1210 Geumgang-ro, Maseo-myeon, Seocheon, Republic of Korea. sjchun@nie.re.kr.
Yingshun Cui *Division of Ecological Survey, National Institute of Ecology, 1210 Geumgang-ro, Maseo-myeon, Seocheon, Republic of Korea.
Jihoon KimDivision of Ecological Applications Research, National Institute of Ecology, 1210 Geumgang-ro, Maseo-myeon, Seocheon, Republic of Korea.
Jun-Woo LeeDivision of Ecological Applications Research, National Institute of Ecology, 1210 Geumgang-ro, Maseo-myeon, Seocheon, Republic of Korea.
Kyong-Hee NamDivision of Ecological Applications Research, National Institute of Ecology, 1210 Geumgang-ro, Maseo-myeon, Seocheon, Republic of Korea.

Funding

The Ministry of Environment (MOE) of the South Korea NIE-A-2025-10; NIE-A-2025-04; NIE-A-2025-11
6 · The paper itself

Abstract

backgroundThe identification of complex spatial patterns of microbial communities in relation to their ecological niches is fundamental to understanding the mechanisms of ecological interactions among diverse organisms. This study introduces a novel three-dimensional (3D) sampling approach to examine the spatial dynamics of microbial populations and niche differentiation influenced by plant-mediated effects in natural ecosystem.

resultsMicrobial communities across horizontal and vertical dimensions were systematically mapped, and we found that the total microbial diversity, particularly among eukaryotes, increased more than ten-fold compared to that obtained via single-grid sampling, emphasizing the importance of spatial heterogeneity in shaping microbial dynamics. Moreover, the 3D framework enabled us to identify taxa specifically associated with particular plants, offering insights into plant-microbe interactions, pathogen prevalence, and ecological consequences of plant-driven effects on local communities.

conclusionsCollectively, these findings demonstrate that 3D sampling approach provides a reproducible and scalable methodology for investigating microbial spatial heterogeneity, pathogen ecology, and niche differentiation in natural environments.

Indexed as

3D microbiome sampling approachEnvironmental complexityNiche differentiationPlant–microbe interactionsSoil microbial diversitySpatial heterogeneity

Identifiers

PMID41044628
PMCPMC12492763

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.