Table 1_Metagenomic and metabolomic insights into the rhizosphere of Paeonia suffruticosa

Metagenomic and metabolomic data investigate the rhizosphere micro-ecosystem of the ornamental crop Paeonia suffruticosa 'Luoyang Hong' across a continuous cropping chronosequence from 12 to 42 years. The dataset, authored by Kexin Sun and last updated in May 2026, uses an integrated multi-omics approach to identify key metabolites and microbial succession patterns linked to replanting issues. It is hosted on figshare under a CC-BY-4.0 license.

Use Cases

• Modeling microbial succession dynamics based on the described temporal progression from 12 to 42 years.
• Identifying biomarkers for soil health based on differential metabolites like succinic acid and vanillic acid.
• Investigating plant-microbe-metabolite interactions based on described positive correlations between specific metabolites and microbial genera.
• Developing mitigation strategies for replanting issues based on the observed decline and partial recovery of beneficial bacterial genera.

Strengths

• Integrated multi-omics approach combining metagenomics and non-targeted metabolomics.
• Data spans a long-term chronosequence covering 12-, 20-, 34-, and 42-year cropping stages.
• Specific key metabolites and microbial genera are identified in the description, suggesting targeted analysis.

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 a 13.6 MB DOCX file, which may contain processed results rather than raw sequencing data.

Provenance

Source

figshare

Collection Method

Integrated multi-omics approach combining metagenomics and non-targeted metabolomics.

Time Range

Covers a chronosequence from 12 to 42 years of continuous cropping.

Freshness

Last updated 2026-05-12 05:26:48; freshness should be verified.