Top 20 Transcription Factor Families Among DEGs in Camellia oleifera Leaf Development

Multi-period transcriptome sequencing of the high-yield 'Changlin 53' Camellia oleifera variety reveals key regulatory networks during leaf development. The 2.2 MB dataset, shared under CC-BY-4.0 by Zongshun Zhou, lists the top 20 transcription factor families among differentially expressed genes (DEGs). This work provides a theoretical basis for breeding varieties with high light-use efficiency.

Use Cases

• Identify key transcription factor families regulating leaf maturation based on differential expression analysis.
• Study the relationship between photosynthesis-related gene expression and leaf functional development.
• Analyze the synergistic mechanisms between hormone signaling, carbon assimilation, and energy metabolism pathways.
• Validate RNA-Seq findings by comparing expression patterns with qRT-PCR data for selected DEGs.

Strengths

• Dataset is focused on a high-yield variety ('Changlin 53') of an economically important oilseed crop.
• Findings are validated by qRT-PCR on 12 randomly selected DEGs, showing high consistency with RNA-Seq data.
• The study integrates morphological observations with multi-period transcriptome sequencing across three leaf developmental stages.

Limitations

• Row count and specific column definitions are unknown, requiring inspection after download.
• The dataset's 2.2 MB size suggests it is a summary or list, not the full raw sequencing data.
• Geographic coverage is limited to a single variety studied, likely in southern China.

Provenance

Source

figshare, author Zongshun Zhou.

Collection Method

Generated from multi-period transcriptome sequencing (RNA-Seq) of Camellia oleifera leaves at spreading, growth, and maturity stages.

Freshness

Last updated 2026-06-04 17:29:13.

Geography

Likely southern China, where Camellia oleifera is endemic.