ArticleFrontiers in microbiology2024
Bacterial-fungal interactions and response to heavy metal contamination of soil in agricultural areas.
Article in Frontiers in microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Multi-omics insights into bacterial and fungal bioremediation of Potentially Toxic Elements (PTEs): a critical overview of their applications.World journal of microbiology & biotechnology · 2026Review
- Toxic metals differentially affect bacterial and fungal seed endophytes in Arabidopsis arenosa.Microbiome · 2026Article
- Effects of Inorganic Fluoride and the Fluoroquinolone Antibiotic Pefloxacin on the Growth and Microbiome Structure ofInternational journal of molecular sciences · 2026Article
- Long-Read Metagenomics Profiling for Identification of Key Microorganisms Affected by Heavy Metals at Technogenic Zones.Microorganisms · 2026Article
- Bioavailable heavy-metal pressure is linked to microbial functional vulnerability and carbon-use niche contraction in karst agricultural soils.Frontiers in microbiology · 2026Article
- From Fungicide to Phagosome: A One Health View of Copper-Driven Fungal-Bacterial Interactions.Current clinical microbiology reports · 2026Review
- Genome-resolved metagenomics reveals co-selection of antibiotic and metal resistance in chronically polluted industrial soils.Frontiers in microbiology · 2026Article
- Article
- Enhanced biogeochemical remediation of Pb-contaminated loessRSC advances · 2025Article
- Investigating the Rhizosphere Fungal Communities of Healthy and Root-Rot-InfectedMicroorganisms · 2024Article
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Authors and funding
9 authors.
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Abstract
Introduction: Long-term heavy metal contamination of soil affects the structure and function of microbial communities. The aim of our study was to investigate the effect of soil heavy metal contamination on microorganisms and the impact of different heavy metal pollution levels on the microbial interactions. Methods: We collected soil samples and determined soil properties. Microbial diversity was analyzed in two groups of samples using high-throughput sequencing technology. Additionally, we constructed microbial networks to analyze microbial interactions. Results: The pollution load index (PLI) < 1 indicates that the area is not polluted. 1 < PLI < 2 represents moderate pollution. PLI was 1.05 and 0.14 for the heavy metal contaminated area and the uncontaminated area, respectively. Cd, Hg, Pb, Zn, and Cu were identified as the major contaminants in the contaminated area, with the contamination factors were 30.35, 11.26, 5.46, 5.19, and 2.46, respectively. The diversities and compositions of the bacterial community varied significantly between the two groups. Compared to the uncontaminated area, the co-occurrence network between bacterial and fungal species in the contaminated area was more complex. The keystone taxa of the co-occurrence network in the contaminated area were more than those in the uncontaminated area and were completely different from it. Discussion: Heavy metal concentrations played a crucial role in shaping the difference in microbial community compositions. Microorganisms adapt to long-term and moderate levels of heavy metal contamination through enhanced interactions. Bacteria resistant to heavy metal concentrations may play an important role in soils contaminated with moderate levels of heavy metals over long periods of time.
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