Evidence map›Paper›PMID 26098851›Full record

ArticlePloS one2015

Terminal Restriction Fragment Length Polymorphism Analysis of Soil Bacterial Communities under Different Vegetation Types in Subtropical Area.

Zeyan Wu, Wenxiong Lin, Bailian Li, Linkun Wu, Changxun Fang, Zhixing Zhang

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Biodiversity in mountain soils above the treeline.Biological reviews of the Cambridge Philosophical Society · 2025
    Review
  2. Article
  3. Article
  4. AnFrontiers in microbiology · 2022
    Article
  5. Article
  6. Emerging priorities for microbial metagenome research.Bioresource technology reports · 2020
    Review
  7. Article
  8. Ecology and evolution · 2017
    Article
  9. 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.

Zeyan WuLife Sciences College of Fujian Agriculture and Forestry University, Fujian, China.
Wenxiong LinLife Sciences College of Fujian Agriculture and Forestry University, Fujian, China.
Bailian LiEcological Complexity and Modeling Laboratory, University of California Riverside, Riverside, CA, United States of America.
Linkun WuLife Sciences College of Fujian Agriculture and Forestry University, Fujian, China.
Changxun FangLife Sciences College of Fujian Agriculture and Forestry University, Fujian, China.
Zhixing ZhangLife Sciences College of Fujian Agriculture and Forestry University, Fujian, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soil microbes are active players in energy flow and material exchange of the forest ecosystems, but the research on the relationship between the microbial diversity and the vegetation types is less conducted, especially in the subtropical area of China. In this present study, the rhizosphere soils of evergreen broad-leaf forest (EBF), coniferous forest (CF), subalpine dwarf forest (SDF) and alpine meadow (AM) were chosen as test sites. Terminal-restriction fragment length polymorphisms (T-RFLP) analysis was used to detect the composition and diversity of soil bacterial communities under different vegetation types in the National Natural Reserve of Wuyi Mountains. Our results revealed distinct differences in soil microbial composition under different vegetation types. Total 73 microbes were identified in soil samples of the four vegetation types, and 56, 49, 46 and 36 clones were obtained from the soils of EBF, CF, SDF and AM, respectively, and subsequently sequenced. The Actinobacteria, Fusobacterium, Bacteroidetes and Proteobacteria were the most predominant in all soil samples. The order of Shannon-Wiener index (H) of all soil samples was in the order of EBF>CF>SDF>AM, whereas bacterial species richness as estimated by four restriction enzymes indicated no significant difference. Principal component analysis (PCA) revealed that the soil bacterial communities' structures of EBF, CF, SDF and AM were clearly separated along the first and second principal components, which explained 62.17% and 31.58% of the total variance, respectively. The soil physical-chemical properties such as total organic carbon (TOC), total nitrogen (TN), total phosphorus (TP) and total potassium (TK) were positively correlated with the diversity of bacterial communities.

Indexed as

ForestsGrasslandPolymorphism, Restriction Fragment LengthSoil MicrobiologyCarbonMicrobiotaNitrogenPhosphorusPotassiumSoilTropical ClimateCarbonNitrogenPhosphorusPotassiumSoil

Identifiers

PMID26098851
PMCPMC4476674

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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.