The response of soil eukaryotic microbial communities to afforestation in mountainous area of the Loess Plateau, Northern China

Soil microorganisms are integral to nutrient cycling, ecosystem functioning, and soil restoration. However, the information on the response of soil eukaryotic microbial communities to land-use transformations, particularly for afforestation, remains underexplored in the mountainous region of northwest Shanxi on the Loess Plateau. The study based on high-throughput sequencing of 18S rRNA sequences, elucidated the impact of afforestation on soil eukaryotic microbial communities in this ecologically sensitive region. The findings indicated that afforestation significantly altered the composition of soil eukaryotic microbial communities. The dominant eukaryotic phyla were Streptophyta (16.8%-46.9%) and Ascomycota (20.5%-40.7%). At the genus level, Gymnoascus, Preussia, Mortierella, Chaetomium and Fusarium were biomarkers of soil eukaryotic microbes in farmland soil, while unidentified Streptophyta and Geopora were enriched in plantations soil. The result of non-metric multidimensional scaling (NMDS) analysis shows significant separation between eukaryotic microbial communities in farmland and plantation soils, which significantly correlated with soil temperature (T), nitrate nitrogen (NN) and available phosphorus (AP). These findings provided data support on regional ecological restoration assessments, highlighted the effect of soil physicochemical factors on the composition of soil eukaryotic microbial communities, and enhanced our understanding of the role of afforestation in modifying soil microbial ecosystems.

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Publication Details

Journal
PLoS ONE
Published
2025-03-04
DOI
https://doi.org/10.1371/journal.pone.0317235
Primary Topic
Microbial Community Ecology and Physiology
Type
article
Field-Weighted Citation Impact
0.00

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article

The response of soil eukaryotic microbial communities to afforestation in mountainous area of the Loess Plateau, Northern China

Yida An, Lei Zhang, Suqing Li, Yuanyuan Zhang
PLoS ONE
Microbial Community Ecology and Physiology
article

The response of soil eukaryotic microbial communities to afforestation in mountainous area of the Loess Plateau, Northern China

Yida An, Lei Zhang, Suqing Li, Yuanyuan Zhang
article en

Abstract

Soil microorganisms are integral to nutrient cycling, ecosystem functioning, and soil restoration. However, the information on the response of soil eukaryotic microbial communities to land-use transformations, particularly for afforestation, remains underexplored in the mountainous region of northwest Shanxi on the Loess Plateau. The study based on high-throughput sequencing of 18S rRNA sequences, elucidated the impact of afforestation on soil eukaryotic microbial communities in this ecologically sensitive region. The findings indicated that afforestation significantly altered the composition of soil eukaryotic microbial communities. The dominant eukaryotic phyla were Streptophyta (16.8%-46.9%) and Ascomycota (20.5%-40.7%). At the genus level, Gymnoascus, Preussia, Mortierella, Chaetomium and Fusarium were biomarkers of soil eukaryotic microbes in farmland soil, while unidentified Streptophyta and Geopora were enriched in plantations soil. The result of non-metric multidimensional scaling (NMDS) analysis shows significant separation between eukaryotic microbial communities in farmland and plantation soils, which significantly correlated with soil temperature (T), nitrate nitrogen (NN) and available phosphorus (AP). These findings provided data support on regional ecological restoration assessments, highlighted the effect of soil physicochemical factors on the composition of soil eukaryotic microbial communities, and enhanced our understanding of the role of afforestation in modifying soil microbial ecosystems.

PLoS ONEVol. 20(3)
Taiyuan Normal University (CN), Shanxi University (CN), Xinzhou Teachers University (CN)
National Natural Science Foundation of China
Life in Land
Openalex Percentile: Top 96%
Microbial Community Ecology and Physiology
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