Rhizosphere Microbiome Metagenomic Data for Tobacco Bacterial Wilt Across Two Locations

Metagenomic sequencing data from a 2026 study investigating taxonomic and functional shifts in the rhizosphere microbiome of tobacco plants affected by bacterial wilt. The dataset compares symptomatic and asymptomatic plants across two locations (Fenggang and Bozhou), forming four groups (FA, FS, BA, BS). It was authored by Ligang Xiang and shared under a CC-BY-4.0 license on figshare.

Use Cases

• Analyzing taxonomic shifts in soil microbiomes based on reported enrichment of Ralstonia solanacearum and depletion of beneficial taxa.
• Investigating functional gene abundance changes based on reported enrichment of virulence factors, antibiotic resistance genes, and carbohydrate-active enzymes.
• Modeling microbial co-occurrence network stability based on described changes in connectivity and correlation patterns between disease states.
• Comparing alpha and beta diversity metrics across disease statuses based on reported Sobs, Shannon, Simpson indices, and PERMANOVA results.

Strengths

• Includes data from two distinct geographical locations (Fenggang and Bozhou), allowing for cross-site comparison.
• Analysis includes multiple metrics: alpha diversity (Sobs, Shannon, Simpson), beta diversity (PERMANOVA R²=0.713), taxonomic profiling, functional annotation, and co-occurrence networks.
• Quality control indicated no technical bias between sample groups (p > 0.05).

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 (27.9 KB), suggesting it may contain summary or processed results rather than raw sequencing reads.

Provenance

Source

figshare, authored by Ligang Xiang.

Collection Method

Metagenomic sequencing of rhizosphere soil samples from tobacco plants.

Time Range

Study published in 2026.

Freshness

Last updated 2026-04-15 05:32:38.

Geography

Samples from Fenggang and Bozhou locations.