Evidence map›Paper›PMID 26032124›Full record

ArticleMicrobial biotechnology2015

Soil bacterial diversity patterns and drivers along an elevational gradient on Shennongjia Mountain, China.

Yuguang Zhang, Jing Cong, Hui Lu, Guangliang Li, Yadong Xue, Ye Deng, Hui Li, Jizhong Zhou, Diqiang Li

Abstract read
In one paragraph

Article in Microbial biotechnology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

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  10. Diversity and distribution of COScientific reports · 2022
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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

9 authors.

Yuguang ZhangInstitute of Forestry Ecology, Environment and Protection, Key Laboratory of Forest Ecology and Environment of State Forestry Administration, The Chinese Academy of Forestry, Beijing, 100091, China.
Jing CongInstitute of Forestry Ecology, Environment and Protection, Key Laboratory of Forest Ecology and Environment of State Forestry Administration, The Chinese Academy of Forestry, Beijing, 100091, China.
Hui LuInstitute of Forestry Ecology, Environment and Protection, Key Laboratory of Forest Ecology and Environment of State Forestry Administration, The Chinese Academy of Forestry, Beijing, 100091, China.
Guangliang LiInstitute of Forestry Ecology, Environment and Protection, Key Laboratory of Forest Ecology and Environment of State Forestry Administration, The Chinese Academy of Forestry, Beijing, 100091, China.
Yadong XueInstitute of Forestry Ecology, Environment and Protection, Key Laboratory of Forest Ecology and Environment of State Forestry Administration, The Chinese Academy of Forestry, Beijing, 100091, China.
Ye DengResearch Center for Eco-Environmental Science, Chinese Academy of Sciences, Beijing, 100085, China.
Hui LiState Key Laboratory of Forest and Soil Ecology, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, 110016, China.
Jizhong ZhouInstitute for Environmental Genomics, Department of Botany and Microbiology, The University of Oklahoma, Norman, OK, 73019, USA.
Diqiang LiInstitute of Forestry Ecology, Environment and Protection, Key Laboratory of Forest Ecology and Environment of State Forestry Administration, The Chinese Academy of Forestry, Beijing, 100091, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding biological diversity elevational pattern and the driver factors are indispensable to develop the ecological theories. Elevational gradient may minimize the impact of environmental factors and is the ideal places to study soil microbial elevational patterns. In this study, we selected four typical vegetation types from 1000 to 2800 m above the sea level on the northern slope of Shennongjia Mountain in central China, and analysed the soil bacterial community composition, elevational patterns and the relationship between soil bacterial diversity and environmental factors by using the 16S rRNA Illumina sequencing and multivariate statistical analysis. The results revealed that the dominant bacterial phyla were Acidobacteria, Actinobacteria, Alphaproteobacteria, Betaproteobacteria, Gammaproteobacteria and Verrucomicrobia, which accounted for over 75% of the bacterial sequences obtained from tested samples, and the soil bacterial operational taxonomic unit (OTU) richness was a significant monotonous decreasing (P < 0.01) trend with the elevational increasing. The similarity of soil bacterial population composition decreased significantly (P < 0.01) with elevational distance increased as measured by the Jaccard and Bray-Curtis index. Canonical correspondence analysis and Mantel test analysis indicated that plant diversity and soil pH were significantly correlated (P < 0.01) with the soil bacterial community. Therefore, the soil bacterial diversity on Shennongjia Mountain had a significant and different elevational pattern, and plant diversity and soil pH may be the key factors in shaping the soil bacterial spatial pattern.

Indexed as

BiotaSoil MicrobiologyBacteriaChinaDNA, RibosomalHumansRNA, BacterialRNA, Ribosomal, 16SSequence Analysis, DNADNA, RibosomalRNA, BacterialRNA, Ribosomal, 16S

Identifiers

PMID26032124
PMCPMC4476828

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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.