Chestnut Bud Abscission Multi-Omics Analysis Data

A 2026 study by Yan Guo presents multi-omics data from two Chinese chestnut cultivars during bud programmed cell death. The analysis integrates histology, hormone quantification, transcriptomics, and metabolomics, identifying thousands of differentially expressed genes and metabolites. The research was published on figshare under a CC-BY-4.0 license.

Use Cases

• Correlate hormone dynamics like cytokinin, ABA, and jasmonic acid levels with transcriptomic changes during bud abscission stages S25 and S30.
• Identify differentially expressed genes (DEGs) enriched in pathways such as plant hormone signal transduction and secondary metabolite biosynthesis.
• Analyze differentially accumulated metabolites (DAMs) to study reprogramming of secondary metabolic flux linked to programmed cell death.
• Build co-regulatory network models for bud abscission using integrated transcriptomic and metabolomic features from the 'Tima Zhenzhu' and 'Dabanhong' cultivars.

Strengths

• Multi-omics integration of transcriptomic (DEGs), metabolomic (DAMs), and hormone quantification data.
• Identified 705 and 4,731 differentially expressed genes (DEGs) across two key developmental stages (S25, S30).
• Detected 241 and 345 differentially accumulated metabolites (DAMs) across the same stages, providing metabolic context.

Limitations

• Data is presented in a DOCX document (18.6 MB), not a structured data file, limiting direct computational analysis.
• Sample size is limited to two specific chestnut cultivars ('Tima Zhenzhu' and 'Dabanhong').
• No raw sequencing reads or processed data matrices are provided, only analysis results within the document.

Provenance

Source

figshare, authored by Yan Guo.

Collection Method

Integrated histology, widely targeted metabolomics, transcriptomics, and hormone quantification on two chestnut cultivars.

Time Range

null

Freshness

Last updated April 2026.

Geography

Study focuses on Chinese chestnut (Castanea mollissima BL.).