Evidence map›Paper›PMID 40871438›Full record

ArticleMicroorganisms2025

Environmental Effects on Bacterial Community Assembly in Arid and Semi-Arid Grasslands.

Shenggang Chen, Yaqi Zhang, Jun Ma, Mingyue Bai, Yinglong Chen, Jianbin Guo, Lin Chen

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

7 authors.

Shenggang ChenSchool of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China.
Yaqi ZhangKey Laboratory for Restoration and Reconstruction of Degraded Ecosystem in Northwest China of Ministry of Education, School of Ecology and Environment, Ningxia University, Yinchuan 750021, China.
Jun MaSchool of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China.
Mingyue BaiSchool of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China.
Yinglong ChenSchool of Agriculture and Environment, The University of Western Australia, Perth, WA 6009, Australia.ORCID 0000-0003-0798-8683
Jianbin GuoSchool of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China.
Lin ChenKey Laboratory for Restoration and Reconstruction of Degraded Ecosystem in Northwest China of Ministry of Education, School of Ecology and Environment, Ningxia University, Yinchuan 750021, China.ORCID 0000-0003-2015-1415

Funding

Key Research and Development Program of the Ningxia Hui Autonomous 2023BEG02049National key Research and Development Program 2022YFF1300404National Natural Science Foundation of China 32271959、32360423、32371964Ningxia Hui Autonomous Region Foreign Intelligence Introduction Programme 2023-4
6 · The paper itself

Abstract

Studying the effects of environmental factors on microbial community assemblies is crucial for understanding microbial biodiversity and ecosystem processes. Although numerous studies have explored the spatial patterns of microbial communities in surface soils, bacterial community distributions in subsurface layers remain poorly understood. We investigated multiple community metrics of soil bacteria in arid and semi-arid grasslands in China, and the V4 region of 16S rDNA was analyzed using soil property measurements, fluorescent PCR, and high-throughput sequencing techniques. Specifically, copiotrophic taxa dominate the topsoil, whereas oligotrophic taxa are prevalent in nutrient-limited subsoil. Bacterial diversity decreases from the topsoil to subsoil, and bacterial distribution and ecological community composition exhibit a strong dependence on environmental factors. Moreover, microbial interaction networks demonstrated a progressive simplification with increasing soil depth: topsoil communities displayed higher modularity and a greater prevalence of positive interactions, whereas subsoil networks were significantly less complex. Null model analyses evidenced assembly mechanisms: deterministic processes (particularly homogeneous selection) dominated the bacterial community assembly, but their influence weakened with depth, whereas stochastic processes (e.g., dispersal limitation) increased progressively from the topsoil to subsoil. The PLS-PM analysis demonstrated that the relative influence of abiotic factors (e.g., climatic conditions and nutrient availability), biotic factors (interspecific interactions), along with drift and dispersal limitations on fungal community assembly exhibited depth-dependent patterns. This study provides novel insights into the vertical stratification of bacterial community in arid and semi-arid grasslands, and advances our understanding of pedogenic process under climate change and microbial adaptive strategies in heterogeneous soil environments.

Indexed as

arid and semi-arid grasslandsbacterial diversitycommunity assemblydeterministic vs. stochastic processessoil depth

Identifiers

PMID40871438
PMCPMC12388656

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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.