ArticleMicroorganisms2019
Identification of Microbial Profiles in Heavy-Metal-Contaminated Soil from Full-Length 16S rRNA Reads Sequenced by a PacBio System.
Article in Microorganisms, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 28 citations in OpenAlex.
- LEMMIv2: benchmarking framework for metagenomic and 16S amplicon profilers with a catalogue of evaluated tools.Genome biology · 2026Article
- Genome-resolved metagenomics reveals co-selection of antibiotic and metal resistance in chronically polluted industrial soils.Frontiers in microbiology · 2026Article
- Deciphering the Post-Operative Dynamics of Opportunistic Gut Microbiota in Colorectal Cancer Patients.Microorganisms · 2025Article
- Revealing the Prokaryotic Microbial Community Structures and their Ecological Potentials in Manjanggul Cave, a Lava Tube on Jeju Island.Current microbiology · 2025Article
- Biodegradation of synthetic organic pollutants: principles, progress, problems, and perspectives.FEMS microbiology reviews · 2025Review
- Review
- Health Risk Assessments and Microbial Community Analyses of Groundwater from a Heavy Metal-Contaminated Site in Hezhou City, Southwest China.International journal of environmental research and public health · 2022Article
- Microbial diversity in intensively farmed lake sediment contaminated by heavy metals and identification of microbial taxa bioindicators of environmental quality.Scientific reports · 2022Article
- 16S-ITGDB: An Integrated Database for Improving Species Classification of Prokaryotic 16S Ribosomal RNA Sequences.Frontiers in bioinformatics · 2022Article
- Actinobacteria: An eco-friendly and promising technology for the bioaugmentation of contaminants.Biotechnology reports (Amsterdam, Netherlands) · 2021Review
- Biodiversity of Actinomycetes from Heavy Metal Contaminated Technosols.Microorganisms · 2021Article
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
Abstract
Heavy metal pollution is a serious environmental problem as it adversely affects crop production and human activity. In addition, the microbial community structure and composition are altered in heavy-metal-contaminated soils. In this study, using full-length 16S rRNA gene sequences obtained by a PacBio RS II system, we determined the microbial diversity and community structure in heavy-metal-contaminated soil. Furthermore, we investigated the microbial distribution, inferred their putative functional traits, and analyzed the environmental effects on the microbial compositions. The soil samples selected in this study were heavily and continuously contaminated with various heavy metals due to closed mines. We found that certain microorganisms (e.g., sulfur or iron oxidizers) play an important role in the biogeochemical cycle. Using phylogenetic investigation of communities by reconstruction of unobserved states (PICRUSt) analysis, we predicted Kyoto Encyclopedia of Genes and Genomes (KEGG) functional categories from abundances of microbial communities and revealed a high proportion belonging to transport, energy metabolism, and xenobiotic degradation in the studied sites. In addition, through full-length analysis,
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Registered trials
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