Rhizosphere Bacterial Communities in Healthy and Root-Rot Infected Schisandra chinensis

Li Li's dataset compares rhizosphere bacterial communities between healthy and root-rot infected Schisandra chinensis plants. It includes measurements of plant growth, soil physicochemical properties, and bacterial community structure and function derived from metagenomic sequencing. The data was last updated on 2026-05-13.

Use Cases

• Identify bacterial biomarkers associated with plant health based on the enrichment of Acidobacteriota and Pseudomonadota.
• Analyze the functional shift in microbial communities during disease based on COG, KEGG, and CAZy annotations.
• Model the influence of soil nutrients like hydrolyzable nitrogen and available potassium on microbial community structure.
• Compare the metabolic network complexity between healthy and diseased rhizospheres based on described functional profiles.

Strengths

• Includes functional annotation from three established databases: COG, KEGG, and CAZy.
• Dataset is openly licensed under CC-BY-4.0.
• Analysis identifies specific key nutrients (hydrolyzable nitrogen and available potassium) driving community differences.

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 very small (11.5 KB), suggesting limited scope or summary-level data.

Provenance

Source

Li Li via figshare.

Collection Method

Metagenomic sequencing and analysis of rhizosphere soil from healthy and infected plants.

Freshness

Last updated 2026-05-13 04:31:22; freshness should be verified.