Evidence map›Paper›PMID 40871230›Full record

ArticleMicroorganisms2025

Deciphering Soil Keystone Microbial Taxa: Structural Diversity and Co-Occurrence Patterns from Peri-Urban to Urban Landscapes.

Naz Iram, Yulian Ren, Run Zhao, Shui Zhao, Chunbo Dong, Yanfeng Han, Yanwei Zhang

Abstract read
In one paragraph

Article in Microorganisms, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

7 authors.

Naz IramInstitute of Fungus Resources, Department of Ecology, College of Life Sciences, Guizhou University, Guiyang 550025, China.
Yulian RenInstitute of Fungus Resources, Department of Ecology, College of Life Sciences, Guizhou University, Guiyang 550025, China.
Run ZhaoInstitute of Fungus Resources, Department of Ecology, College of Life Sciences, Guizhou University, Guiyang 550025, China.
Shui ZhaoInstitute of Fungus Resources, Department of Ecology, College of Life Sciences, Guizhou University, Guiyang 550025, China.
Chunbo DongInstitute of Fungus Resources, Department of Ecology, College of Life Sciences, Guizhou University, Guiyang 550025, China.
Yanfeng HanInstitute of Fungus Resources, Department of Ecology, College of Life Sciences, Guizhou University, Guiyang 550025, China.
Yanwei ZhangKey Laboratory of Development and Utilization of Biological Resources in Colleges and Universities of Guizhou Province, Guizhou Education University, Guiyang 550018, China.

Funding

Construction Program of Biology First-class Discipline in Guizhou [GNYL [2017]009]"Hundred" Talent Projects of Guizhou Province [Qian Ke He [2020] 6005]The National Natural Science Foundation of China [No.32060011, 32160007, 32260003]
6 · The paper itself

Abstract

Assessing microbial community stability and soil quality requires understanding the role of keystone microbial taxa in maintaining diversity and functionality. This study collected soil samples from four major habitats in the urban and peri-urban areas of 20 highly urbanized provinces in China using both the five-point method and the S-shape method and explored their microbiota through high-throughput sequencing techniques. The data was used to investigate changes in the structural diversity and co-occurrence patterns of keystone microbial communities from peri-urban (agricultural land) to urban environments (hospitals, wastewater treatment plants, and zoos) across different regions. Using network analysis, we examined the structure and symbiosis of soil keystone taxa and their association with environmental factors during urbanization. Results revealed that some urban soils exhibited higher microbial diversity, network complexity, and community stability compared to peri-urban soil. Significant differences were observed in the composition, structure, and potential function of keystone microbial taxa between these environments. Correlation analysis showed a significant negative relationship between keystone taxa and mean annual precipitation (

Indexed as

community assemblycommunity stabilityco-occurrence patternskeystone taxaurbanization

Identifiers

PMID40871230
PMCPMC12388032

What OpenQuestion holds

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LicenceCC BY
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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.