Comparative Transcriptome Dataset for Nitrogen Use Efficiency in Melon Varieties

Transcriptome sequencing data from melon varieties with high and low nitrogen use efficiency under normal and low nitrogen treatment conditions. The dataset was created by Yong Zhao and published on figshare, with a last update in May 2026. It includes files in FA, XLS, and XLSX formats totaling 87.0 MB.

Use Cases

• Identify differentially expressed genes (DEGs) related to nitrogen metabolism pathways in melon.
• Analyze gene expression patterns in response to low-nitrogen stress between melon varieties.
• Perform functional enrichment classification and metabolic pathway annotation for candidate genes.
• Support the breeding of melon varieties with high nitrogen use efficiency by providing genetic resources.

Strengths

• Data is derived from high-throughput transcriptome sequencing, a standard method for gene expression analysis.
• The experimental design includes controlled comparisons between high/low efficiency varieties and normal/low nitrogen treatments.
• Dataset is openly licensed under CC-BY-4.0, permitting reuse with attribution.

Limitations

• The row count and specific column definitions are unknown, limiting suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Yong Zhao via figshare.

Collection Method

High-throughput transcriptome sequencing of functional leaves from melon varieties under controlled nitrogen treatments.

Freshness

Last updated 2026-05-26 09:21:53; freshness should be verified.