Rhizosphere Bacterial Communities of Five Medicinal Plants in Xinjiang

Xinjiang hosts five medicinal plants considered promising for pharmaceutical and cosmetic industries. This dataset compares their rhizosphere bacterial communities to non-planted soil using 16S rRNA gene sequencing and analyzes soil physicochemical properties. It was authored by Jing Wu and last updated on April 22, 2026.

Use Cases

• Identifying plant-specific bacterial biomarkers based on unique Amplicon Sequence Variants (ASVs) reported for each species.
• Modeling the influence of soil nutrients like total potassium, nitrogen, and phosphorus on bacterial community structure.
• Developing specialized microbial inoculants for medicinal plant cultivation based on enriched taxa like Chitinophagaceae and Sphingomonas.
• Comparing dominant bacterial phyla (e.g., Proteobacteria) in rhizospheres versus non-planted soil dominated by Actinobacteriota.

Strengths

• Includes comparative data from five distinct medicinal plant species and a non-planted control soil.
• Reports specific quantitative findings, such as total phosphorus increasing by 2.6–2.9 times in rhizosphere soils and unique ASVs accounting for 34.04–46.70% of total ASVs per plant.
• Identifies key edaphic drivers (total potassium, nitrogen, phosphorus) and their correlations with bacterial diversity.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale modeling.
• The data is contained in a 671.2 KB DOCX file, suggesting the underlying dataset is tiny and its scope is limited.

Provenance

Source

figshare

Collection Method

Soil physicochemical analysis and high-throughput sequencing of the 16S rRNA gene V3–V4 region.

Freshness

Last updated 2026-04-22 05:49:40; freshness should be verified.

Geography

Xinjiang