Cunninghamia Lanceolata Seedling Responses to Six Light Qualities

Bo Liu's study provides data on growth, hormone levels, and transcriptome changes in Cunninghamia lanceolata seedlings under six controlled light treatments. The dataset includes physiological measurements and gene expression analysis from a controlled experiment. The data was published on figshare in April 2026.

Use Cases

• Model stem_elongation and root_collar_diameter as functions of light_quality treatment using physiological data.
• Analyze the antagonistic relationship between gibberellic_acid (GA3) and abscisic_acid (ABA) hormone levels across light spectra.
• Identify differentially_expressed_genes for photoreceptors like PHYB, CRY1, and CRY2 under blue, red, and far-red light.
• Correlate transcriptomic pathways such as flavonoid_biosynthesis or phenylpropanoid_metabolism with specific light treatments.
• Investigate gene expression of downstream signaling factors like COP1, PIF3, and HY5 in response to mixed RL:FrL light ratios.

Strengths

• Data from six distinct light quality treatments applied at a constant photosynthetic photon flux density of 400 μmol·m-2·s-1.
• Integrates three data modalities: physiological growth measurements, phytohormone assays, and transcriptomic analysis.
• Clear experimental design testing specific RL:FrL ratios (1:1 and 1:2) alongside single-spectrum lights.

Limitations

• Small dataset at 880.2 KB, indicating a limited sample size likely from a single controlled experiment.
• Data is embedded in a DOCX file, requiring extraction and may lack a ready-to-use structured table format.
• Scope is limited to one tree species (Cunninghamia lanceolata) and a specific seedling growth stage.

Provenance

Source

Bo Liu via figshare.

Collection Method

Controlled laboratory experiment measuring seedling growth, hormone levels (GA3, ABA), and RNA-seq transcriptomics under defined light conditions.

Freshness

Data was last updated in April 2026.