Evidence map›Paper›PMID 39028194›Full record

ArticleApplied and environmental microbiology2024

Difference in microbial community structure along a gradient of crater altitude: insights from the Nushan volcano.

Jin Chen, Ye Cui, Qingchen Xiao, Keqin Lin, Boyan Wang, Jing Zhou, Xiaoyu Li

Abstract read
In one paragraph

Article in Applied and environmental microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Distinct soil microbial community composition and structure: evidence from soil inside and outside the cattle farm.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2026
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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Jin Chen *School of Life Sciences, Anhui Agricultural University, Hefei, China.ORCID 0000-0002-0123-5093
Ye Cui *School of Life Sciences, Anhui Agricultural University, Hefei, China.ORCID 0009-0002-0324-2841
Qingchen XiaoSchool of Life Sciences, Anhui Agricultural University, Hefei, China.
Keqin LinSchool of Life Sciences, Anhui Agricultural University, Hefei, China.
Boyan WangSchool of Life Sciences, Anhui Agricultural University, Hefei, China.
Jing ZhouSchool of Life Sciences, Anhui Agricultural University, Hefei, China.
Xiaoyu LiSchool of Life Sciences, Anhui Agricultural University, Hefei, China.ORCID 0000-0002-4239-6635

Funding

Key Technologies Research and Development Program of Anhui Province (Key Technologies R & D Program of Anhui Province) 202204c06020021MOST | National Key Research and Development Program of China (NKPs) 2023YFD1901002MOST | National Natural Science Foundation of China (NSFC) 32201308MOST | National Natural Science Foundation of China (NSFC) U21A20235
6 · The paper itself

Abstract

The variation in the soil microbial community along the altitude gradient has been widely documented. However, the structure and function of the microbial communities distributed along the altitude gradient in the crater still need to be determined. We gathered soil specimens from different elevations within the Nushan volcano crater to bridge this knowledge gap. We investigated the microbial communities of bacteria and fungi in the soil. It is noteworthy that the microbial alpha diversity peaks in the middle of the crater. However, network analysis shows that bacterial (nodes 760 vs 613 vs 601) and fungal (nodes 328 vs 224 vs 400) communities are most stable at the bottom and top of the crater, respectively. Furthermore, the soil microbial network exhibited a decline, followed by an increase across varying altitudes. The core microorganisms displayed the highest correlation with pH and alkaline phosphatase (AP, as determined through redundancy analysis (RDA) and Mantel tests for correlation analysis. The fungal community has a higher number of core microorganisms, while the bacterial core microorganisms demonstrate greater susceptibility to environmental factors. In conclusion, we utilized Illumina sequencing techniques to assess the disparities in the structure and function of bacteria and fungi in the soil.IMPORTANCEThese findings serve as a foundation for future investigations on microbial communities present in volcanic soil.

Indexed as

AltitudeBacteriaFungiMicrobiotaSoil MicrobiologyVolcanic EruptionsChinacrater soilmicrobial diversityredundancy analysissoil microbial community

Identifiers

PMID39028194
PMCPMC11337807

What OpenQuestion holds

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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.