Bitter Gourd Genomic and Phenotypic Data for 180 Accessions

180 bitter gourd accessions were whole-genome re-sequenced at an average coverage of 33.91×, identifying ~1.78 million high-quality SNPs. The dataset includes phenotypic measurements for four key horticultural traits and results from genome-wide association studies. It was authored by Chengcheng Feng and last updated on 2026-04 16.

Use Cases

• Identify genetic loci associated with fruit weight, length, and diameter based on GWAS results.
• Analyze population structure and genetic diversity across the 180 bitter gourd accessions.
• Perform haplotype analysis on candidate genes like MC04g0117 to predict phenotypic effects.
• Investigate pleiotropic genetic regions influencing multiple yield-related traits.

Strengths

• High-coverage sequencing data with an average of 33.91× coverage.
• Large-scale genetic variation map with ~1.78 million high-quality SNPs identified.
• Phenotypic data for four key horticultural traits linked to genomic data.
• Clear haplotype effects quantified, such as a 20.46%—22.68% increase in single fruit weight for Hap1.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the underlying phenotypic and genotypic tables is unknown.
• The primary data file is a 1.4 MB PDF, which may require extraction of underlying data.

Provenance

Source

figshare

Collection Method

Whole-genome re-sequencing and phenotyping of a diverse panel of bitter gourd accessions.

Time Range

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Freshness

Last updated 2026-04-16 05:18:24; freshness should be verified.

Geography

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