Table 1_Genome-resolved metagenomics reveals co-selection of antibiotic and metal resistan

Table 1_Genome-resolved metagenomics reveals co-selection of antibiotic and metal resistance in chronically polluted industrial soils is a dataset by Zhanar Abilda, last updated in May 2026. It contains results from a study applying Oxford Nanopore long-read metagenomic sequencing to industrially influenced soil samples in East Kazakhstan. The data includes strain-level community composition, profiles of antibiotic and metal resistance genes, and their relation to soil physicochemical properties.

Use Cases

• Analyze the relationship between heavy metal concentrations and microbial community structure based on the multivariate analyses described.
• Identify key microbial hosts linking antibiotic and metal resistance genes based on the network analyses mentioning Bradyrhizobium icense and Conexibacter woesei.
• Profile the abundance and diversity of specific antibiotic resistance gene classes and metal resistance genes like czcA and arsM as detailed in the results.
• Model the environmental drivers of resistance gene composition using soil pH and heavy metal variables like Zn identified in the redundancy analysis.

Strengths

• The dataset is derived from genome-resolved metagenomics, providing strain-level taxonomic resolution.
• Results include profiles of 238 distinct metal resistance genes and antibiotic resistance genes from several drug classes.
• Analysis links resistance patterns to specific environmental drivers, namely soil pH and zinc concentration.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is stored as a DOCX file (3.9 MB), which may require conversion for computational analysis.

Provenance

Source

Zhanar Abilda, published on figshare.

Collection Method

Oxford Nanopore long-read metagenomic sequencing applied to soil samples.

Time Range

null

Freshness

Last updated 2026-05-08 05:40:40; freshness should be verified.

Geography

Industrially influenced sites in East Kazakhstan.