Pulse Brain · Growing Health Evidence Index
Tier 3 — Observational / field trialPeer-reviewed

Microbial diversity and community assembly in heavy metal-contaminated soils: insights from selenium-impacted mining areas

Zhiyong Wang, Guangai Deng, Chongyang Hu, Xue Hou, Xinyuan Zhang, Zhimin Fan, Yong Zhao, Mugen Peng

Frontiers in Microbiology · 2025

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Summary

This study examines how selenium and co-occurring heavy metal contamination reshape soil microbial community structure and assembly in Chinese mining-affected soils. Using full-length 16S rRNA sequencing and network analysis, the authors demonstrate that elevated heavy metal concentrations reduce microbial diversity, favour metal-tolerant phyla, and shift community assembly from drift-dominated mechanisms toward dispersal-limited states, with fragmented network structures evident in heavily contaminated soils. The findings underscore multiple metals (particularly potassium, chromium, titanium, nickel, and gallium) as significant drivers of bacterial community composition and diversity.

UK applicability

The findings may have limited direct relevance to typical UK agricultural systems, as the study focuses on selenium-enriched mining areas with extreme heavy metal burden. However, the methodological framework for assessing microbial responses to polymetallic soil contamination could inform risk assessment of UK soils near historical mining sites or industrial areas.

Key measures

Microbial diversity indices, bacterial phyla abundance (Proteobacteria, Actinobacteriota, Firmicutes, Acidobacteriota, Chloroflexi), soil elemental composition (selenium, zinc, chromium, titanium, nickel, gallium, copper, vanadium, cobalt, manganese, rubidium, barium, potassium), soil organic carbon, total nitrogen, random forest importance scores, network complexity metrics, community assembly drivers (drift vs. dispersal limitation)

Outcomes reported

The study measured changes in soil microbial diversity, community composition, and assembly mechanisms in selenium-impacted soils from mining areas using full-length 16S rRNA gene sequencing. It quantified correlations between heavy metal concentrations and microbial community structure, and characterised shifts in bacterial network complexity and stability.

Theme
Farming systems, soils & land use
Subject
Soil biology & microbiology
Study type
Research
Study design
Field sampling and observational analysis
Source type
Peer-reviewed study
Status
Published
Geography
China
System type
Laboratory / in vitro
DOI
10.3389/fmicb.2025.1561678
Catalogue ID
SNmok1w3mz-aa6y5b

Topic tags

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