Evidence map›Paper›PMID 41011407›Full record

ArticleMicroorganisms2025

Impact of Vegetation Type on Taxonomic and Functional Composition of Soil Microbial Communities in the Northeastern Qinghai-Tibet Plateau.

Xunxun Qiu, Guangchao Cao, Guangzhao Han, Qinglin Zhao, Shengkui Cao, Shuang Ji

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 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

6 authors.

Xunxun QiuCollege of Geographical Sciences, Qinghai Normal University, Xining 810008, China.
Guangchao CaoCollege of Geographical Sciences, Qinghai Normal University, Xining 810008, China.
Guangzhao HanCollege of Geographical Sciences, Qinghai Normal University, Xining 810008, China.
Qinglin ZhaoGraduate School, Qinghai Normal University, Xining 810008, China.
Shengkui CaoCollege of Geographical Sciences, Qinghai Normal University, Xining 810008, China.
Shuang JiCollege of Geographical Sciences, Qinghai Normal University, Xining 810008, China.

Funding

Natural Science Foundation of Qinghai Province 2023-ZJ-907M
6 · The paper itself

Abstract

Soil microbial communities are pivotal in maintaining ecosystem functions, particularly in alpine regions with highly heterogeneous environmental conditions. However, the influence of vegetation type on soil microbial communities in high-elevation areas remains insufficiently understood. This study investigates the dynamics of soil microbial communities across grassland, shrubland, and forest ecosystems on the southern slope of the Qilian Mountains. Soil bacterial and fungal communities were examined using high-throughput 16S rRNA and ITS gene sequencing, and their potential ecological functions were inferred using the FAPROTAX and FUNGuild databases. Analysis of similarity (ANOSIM) based on Bray-Curtis distances revealed significant differences in bacterial and fungal community structures among vegetation types, with forest soils showing greater intra-group variability and more distinct microbial assemblages. Acidobacteriota and Proteobacteria were the dominant bacterial phyla, while Basidiomycota and Ascomycota predominated among fungi. Fungal communities in forest soils were dominated by ectomycorrhizal taxa, closely linked to coniferous forests dominated by

Indexed as

alpine regiondifferent vegetation typesfunction predictioninfluence factorQinghai-Tibet Plateausoil microbial community structure

Identifiers

PMID41011407
PMCPMC12472663

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.