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Environmental Sciences
Soil Sciences
Land capability and soil productivity
Soil bacterial community diversity, composition, and species specificity across different geographical landscapes in the Mu Us Sandy Land

Soil bacterial community diversity, composition, and species specificity across different geographical landscapes in the Mu Us Sandy Land

Xue Shang ^1,2,3, Zhaoquan He ^2,3,4,5, Wenbo Chen ⁶, Xiaoze Jin ^2,3,4

Xue Shang ^1,2,3, Zhaoquan He ^2,3,4,5, Wenbo Chen ⁶

¹Office of Information Technology, Yan'an University, Yan'An, China.
²School of Life Sciences, Yan'an University, Yan'An, China.
³Shaanxi Key Laboratory of Research and Utilization of Resource Plants on the Loess Plateau, College of Life Sciences, Yan'an University, Yan'An, China.
⁴Key Laboratory of Applied Ecology of Universities in Shaanxi Province on the Loess Plateau, Yan'an University, Yan'An, China.
⁵Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, China.
⁶National Key Laboratory of Uranium Resource Exploration-Mining and Nuclear Remote Sensing, East China University of Technology, Nanchang, China.

⁰Office of Information Technology, Yan'an University, Yan'An, China.

Frontiers in Microbiology +

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December 24, 2025

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December 24, 2025

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View abstract on PubMed

Summary

This summary is machine-generated.

Ecological restoration in Mu Us Sandy Land shows distinct soil bacterial communities across desert, meadow, and forest landscapes. Mixed arbor-shrub forests support more complex microbial communities, suggesting a resilient restoration model.

Area Of Science

Soil microbiology
Ecological restoration
Microbial ecology

Background

Mu Us Sandy Land is a key ecological restoration site in China.
Diverse landscapes, including desert, meadow, and forests, are developing.
Understanding soil microbiome shifts is crucial for effective restoration.

Purpose Of The Study

Investigate soil bacterial diversity and composition across different landscapes.
Identify differential bacterial taxa in response to vegetation restoration.
Elucidate the impact of landscape type on the soil microbiome.

Main Methods

Soil samples collected from desert, meadow patch, arbor forest, and mixed arbor-shrub forest.
16S rRNA gene high-throughput sequencing performed on Illumina NextSeq 2000.
Beta diversity analysis, ANOSIM, and LEfSe used to analyze community structure and identify biomarkers.

Main Results

Distinct bacterial community compositions were observed: Actinobacteria in desert, Proteobacteria in meadow/mixed forest, and Bacillota in arbor forest.
Significant divergence in bacterial community structure among landscapes (ANOSIM R=0.7168, P=0.001).
Specific biomarkers identified for each landscape, e.g., Rubrobacter in desert, Acidobacteria/Proteobacteria in mixed forest.

Conclusions

Geographical landscapes in Mu Us Sandy Land significantly shape soil bacterial communities.
Mixed arbor-shrub forests harbor more complex bacterial communities than pure arbor forests.
Findings inform ecological restoration strategies by highlighting the role of landscape diversity in soil microbiome health.

Keywords:

16S rRNA gene arid region ecosystem ecological restoration high-throughput sequencing soil microbiome

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The Soil Ecosystem

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Plants obtain inorganic minerals and water from the soil, which acts as a natural medium for land plants. The composition and quality of soil depend not only on the chemical constituents but also on the presence of living organisms. In general, soils contain three major components:

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Organic matter, also known as humus, which makes up about 5 percent of the soil volume.
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