Microbial community structure and functional potential of lava-formed Gotjawal soils in Jeju, Korea

The Gotjawal areas of Jeju Island, Korea, are comprised of unmanaged forests growing on volcanic soils. They support unique assemblages of vascular plants from both northern and southern hemispheres, but are threatened by human disturbance. The health and ecosystem function of these assemblages like...

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Bibliographic Details
Published in:PloS one 2018-10, Vol.13 (10), p.e0204761-e0204761
Main Authors: Kim, Jong-Shik, Kim, Dae-Shin, Lee, Keun Chul, Lee, Jung-Sook, King, Gary M, Kang, Sanghoon
Format: Article
Language:English
Subjects:
Acidobacteria
Actinobacteria
Analysis
Bacteroidetes
Biodiversity
Bioinformatics
Biology and life sciences
Chloroflexi
Clustering
Communities
Community structure
Composition
Deoxyribonucleic acid
DNA
E coli
Ecology and Environmental Sciences
Ecosystem biology
Ecosystems
Environmental factors
Forests
Genetic aspects
Health risks
Hemispheres
Hybridization
Indicator species
Laboratories
Lava
Microbial activity
Microbial colonies
Microbiomes
Microbiota - genetics
Microclimate
Microorganisms
Multivariate analysis
Phosphorus
Planctomycetes
Plants
Plants - microbiology
Proteobacteria
Republic of Korea
Research and Analysis Methods
RNA, Ribosomal, 16S - genetics
rRNA 16S
Soil
Soil Microbiology
Soil properties
Soil sciences
Soil structure
Verrucomicrobia
Volcanic ash
Volcanic soils
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Summary:The Gotjawal areas of Jeju Island, Korea, are comprised of unmanaged forests growing on volcanic soils. They support unique assemblages of vascular plants from both northern and southern hemispheres, but are threatened by human disturbance. The health and ecosystem function of these assemblages likely depends in part on the diversity and community structure of soil microbial communities, about which little is known. To assess the diversity of Gotjawal soil microbial communities, twenty samples were collected in November 2010 from 4 representatives of Gotjawal forests. While soil properties and microbial communities measured by 16S rRNA gene sequence data were marginally distinct among sites by PERMANOVA (p = 0.017-0.191), GeoChip data showed significant differences among sites (p
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0204761