Evidence map›Paper›PMID 41963570›Full record

ArticleCommunications biology2026

Urbanization increases the complexity of soil microbial interaction networks.

Xin Liu, Guixiang Li, Mingzhao Han, Peng Li, Wei Liang

Abstract read
In one paragraph

Article in Communications biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Xin LiuMinistry of Education Key Laboratory for Ecology of Tropical Islands, Key Laboratory of Tropical Animal and Plant Ecology of Hainan Province, College of Life Sciences, Hainan Normal University, Haikou, China.
Guixiang LiMinistry of Education Key Laboratory for Ecology of Tropical Islands, Key Laboratory of Tropical Animal and Plant Ecology of Hainan Province, College of Life Sciences, Hainan Normal University, Haikou, China.
Mingzhao HanMinistry of Education Key Laboratory for Ecology of Tropical Islands, Key Laboratory of Tropical Animal and Plant Ecology of Hainan Province, College of Life Sciences, Hainan Normal University, Haikou, China.
Peng LiMinistry of Education Key Laboratory for Ecology of Tropical Islands, Key Laboratory of Tropical Animal and Plant Ecology of Hainan Province, College of Life Sciences, Hainan Normal University, Haikou, China. bio_lip@hainnu.edu.cn.ORCID http://orcid.org/0000-0002-1906-8393
Wei LiangMinistry of Education Key Laboratory for Ecology of Tropical Islands, Key Laboratory of Tropical Animal and Plant Ecology of Hainan Province, College of Life Sciences, Hainan Normal University, Haikou, China. liangwei@hainnu.edu.cn.ORCID http://orcid.org/0000-0002-0004-9707

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Urbanization reshapes soil ecosystems, yet its impacts on the composition and interactions of soil microbial communities remain insufficiently understood. Here, we use high-throughput sequencing to profile bacteria, fungi, and protists across four representative habitat types of different urbanization level-campuses, roadside greenbelts, suburban unmanaged lands, and concrete pavements in four Chinese cities spanning a broad latitudes (Changchun, Beijing, Hangzhou, Haikou). Vegetated habitats consistently structure microbial communities, whereas concrete pavements form a distinct disturbed habitat with the lowest microbial richness. Bacterial richness is highest in campuses and roadside greenbelts, while fungal and protistan richness peaks in suburban unmanaged lands. Despite regional variation, communities under similar vegetation types show convergent compositions, jointly shaped by regional climate and land-use intensity. Bacterial assemblages are more sensitive to environmental variation than fungi and protists. Proteobacteria dominate bacteria communities, whereas fungal and protistan communities display marked habitat specificity. Co-occurrence networks complexity peaks in roadside greenbelts, remains stable in suburban unmanaged lands and collapses significantly in concrete pavements. Microbial diversity patterns are strongly associated with temperature, soil pH, and latitude. Together, these results demonstrate that environmental conditions and urbanization intensity drive the biogeography and interaction patterns of soil microbiomes, providing insights for ecological restoration and urban green-space management.

Indexed as

Microbial InteractionsMicrobiotaSoil MicrobiologyUrbanizationBacteriaBiodiversityChinaEcosystemFungiSoilSoil

Identifiers

PMID41963570
PMCPMC13250047

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.