Rhizobacterial Communities of Five Medicinal Plants in Xinjiang, China

Xinjiang, China, is the geographic focus of this dataset comparing rhizosphere bacterial communities across five medicinal plants and non-planted control soil. The data includes soil physicochemical properties and bacterial community profiles derived from high-throughput sequencing of the 16S rRNA gene V3–V4 region. Author Jing Wu published the dataset under a CC-BY-4.0 license on figshare, with a last update recorded for 2026-04-22.

Use Cases

• Identify plant-specific bacterial taxa based on the reported unique Amplicon Sequence Variants (ASVs) for each medicinal plant.
• Model the relationship between soil nutrients (TK, TN, TP) and bacterial diversity based on the described correlations.
• Compare dominant bacterial phyla (e.g., Proteobacteria, Bacteroidota) between rhizosphere and bulk soil samples.
• Investigate the enrichment of specific bacterial families (e.g., Chitinophagaceae, Sphingomonas) in different plant rhizospheres.

Strengths

• Includes comparative data for five distinct medicinal plant species and a non-planted control soil.
• Reports specific quantitative findings, such as total phosphorus (TP) increasing by 2.6–2.9 times in rhizosphere soils.
• Identifies key environmental drivers (total potassium, nitrogen, phosphorus) of microbial community structure.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The primary data file is a DOCX document (671.2 KB), which may not be a standard format for structured ecological data.

Provenance

Source

figshare, author Jing Wu.

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, China.