Evidence map›Paper›PMID 27822546›Full record

ArticlemSystems

Zonal Soil Type Determines Soil Microbial Responses to Maize Cropping and Fertilization.

Mengxin Zhao, Bo Sun, Linwei Wu, Qun Gao, Feng Wang, Chongqing Wen, Mengmeng Wang, Yuting Liang, Lauren Hale, Jizhong Zhou and 1 more

Open access · goldAbstract read
In one paragraph

Article in mSystems. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
4.9field-weighted citation impact, top 5% of its field
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

15 citing papers in PubMed, 46 citations in OpenAlex.

  1. Article
  2. Environmental and Ecological Monitoring with Biodegradable Technologies.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
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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

11 authors at 5 institutions in 2 countries.

Mengxin ZhaoState Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China.
Bo SunState Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, China.
Linwei WuState Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China.
Qun GaoState Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China.
Feng WangState Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, China; Ningbo Academy of Agricultural Sciences, Ningbo, China.
Chongqing WenDepartment of Microbiology and Plant Biology and Institute for Environmental Genomics, University of Oklahoma, Norman, Oklahoma, USA; Fisheries College, Guangdong Ocean University, Zhanjiang, China.
Mengmeng WangState Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China.
Yuting LiangState Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, China.
Lauren HaleDepartment of Microbiology and Plant Biology and Institute for Environmental Genomics, University of Oklahoma, Norman, Oklahoma, USA.ORCID 0000-0002-2574-2225
Jizhong ZhouState Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China; Department of Microbiology and Plant Biology and Institute for Environmental Genomics, University of Oklahoma, Norman, Oklahoma, USA; Earth Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA.
Yunfeng YangState Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China.ORCID 0000-0001-8274-6196
State Key Joint Laboratory of Environment Simulation and Pollution Control · CNChinese Academy of Sciences · CNGuangdong Ocean University · CNLawrence Berkeley National Laboratory · USUniversity of Oklahoma · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soil types heavily influence ecological dynamics. It remains controversial to what extent soil types shape microbial responses to land management changes, largely due to lack of in-depth comparison across various soil types. Here, we collected samples from three major zonal soil types spanning from cold temperate to subtropical climate zones. We examined bacterial and fungal community structures, as well as microbial functional genes. Different soil types had distinct microbial biomass levels and community compositions. Five years of maize cropping (growing corn or maize) changed the bacterial community composition of the Ultisol soil type and the fungal composition of the Mollisol soil type but had little effect on the microbial composition of the Inceptisol soil type. Meanwhile, 5 years of fertilization resulted in soil acidification. Microbial compositions of the Mollisol and Ultisol, but not the Inceptisol, were changed and correlated (

Indexed as

fertilizationGeoChipmicrobial communitysoil functional processzonal soil type

Identifiers

PMID27822546
PMCPMC5069962
OpenAlexW2460673252

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.