Evidence map›Paper›PMID 41524991›Full record

ArticleBrazilian journal of microbiology : [publication of the Brazilian Society for Microbiology]2026

Distinct soil microbial community composition and structure: evidence from soil inside and outside the cattle farm.

Qi Ding, Jiayi Li, Fengling Xue, Wenjun Cui, Shiguang Hu, Lingfeng Yu, Wanyue Huang, Lin Li, Ping Cheng

Abstract read
In one paragraph

Article in Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology], 2026. 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

9 authors.

Qi DingAnimal-Derived Food Safety Innovation Team, College of Veterinary Medicine, Anhui Agricultural University, Hefei, 230036, China.
Jiayi LiAnimal-Derived Food Safety Innovation Team, College of Veterinary Medicine, Anhui Agricultural University, Hefei, 230036, China.
Fengling XueThe First Affiliated Hospital of Anhui Medical University, Hefei, 230031, China.
Wenjun CuiAnimal-Derived Food Safety Innovation Team, College of Veterinary Medicine, Anhui Agricultural University, Hefei, 230036, China.
Shiguang HuSchool of Life Sciences, Anhui Agricultural University, Hefei, 230036, China.
Lingfeng YuAnimal-Derived Food Safety Innovation Team, College of Veterinary Medicine, Anhui Agricultural University, Hefei, 230036, China.
Wanyue HuangAnimal-Derived Food Safety Innovation Team, College of Veterinary Medicine, Anhui Agricultural University, Hefei, 230036, China.
Lin LiAnimal-Derived Food Safety Innovation Team, College of Veterinary Medicine, Anhui Agricultural University, Hefei, 230036, China.
Ping ChengAnimal-Derived Food Safety Innovation Team, College of Veterinary Medicine, Anhui Agricultural University, Hefei, 230036, China. chengping@ahau.edu.cn.ORCID http://orcid.org/0009-0001-7748-7465

Funding

National Natural Science Foundation of China No. 32402941Natural Science Foundation of Anhui Province No. 2308085QC108Talent research fund project of Anhui Agricultural University No.rc392109
6 · The paper itself

Abstract

The contrast between the soils inside and outside the cattle farm may reflect the prolonged manure exposure within the farm, potentially creating distinct properties and microbial structure. However, comparative studies are scarce on the microbial composition and co-occurrence patterns between soils inside and outside the cattle farm. To address this gap, this study combined Illumina MiSeq sequencing with co-occurrence network analysis and soil physicochemical characterization to compare the microbial community structures between the two sites. The soil inside the cattle farm exhibited higher microbial alpha diversity than that outside the farm. Volcano plots revealed significant differences in the relative abundances of microbial taxa between sites. Notably, the relative abundances of Devosia was significantly higher inside the cattle farm, whereas Paenibacillus and Nitrospira were markedly higher outside the cattle farm (|log2FC| ≥ 1.2). The fungal network inside the cattle farm demonstrated higher complexity and stability than outside, with larger nodes and edges (Nodes: 194 vs. 153; Edges: 13231 vs. 8007) and superior topological characteristics. To elucidate the specific manure-induced environmental factors driving these differences, Mantel tests confirmed that soil organic carbon and alkali-hydrolyzable nitrogen significantly influenced the microbial communities. This study identifies the specific manure-derived drivers of microbial community structure and network stability, providing critical insights for utilizing cattle manure to improve soil microbial ecology and thereby contributing to sustainable agricultural management.

Indexed as

BacteriaFungiMicrobiotaSoil MicrobiologyAnimalsBiodiversityCarbonCattleFarmsManureNitrogenSoilCarbonManureNitrogenSoilCattle farmCo-occurrence networkHigh-throughput sequencingManureSoil microbial communities

Identifiers

PMID41524991
PMCPMC12796059

What OpenQuestion holds

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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.