Maize Kernel Starch Content GWAS and Transcriptomic Analysis Supplementary Data

Supplementary Material 1 from the study 'Identification of transcription factors regulating starch biosynthesis in maize through integrated GWAS and transcriptomic analysis'. The dataset includes 10 tables with data on kernel starch content for 341 inbred lines, GWAS-associated SNPs and genes, gene expression levels, and identified transcription factors. It was authored by Jienan Han and last updated on 2026-04-21.

Use Cases

• Identify candidate genes for starch biosynthesis based on GWAS-associated SNPs and overlapping QTL.
• Compare gene expression profiles related to starch synthesis between BSSS and PA maize subpopulations.
• Analyze correlations between identified transcription factors and starch biosynthesis genes.
• Examine haplotype diversity of target transcription factors across different maize lines.

Strengths

• Includes data from 341 maize inbred lines assessed in two years and two locations.
• Integrates multiple data types: phenotypic starch content, GWAS SNPs, QTL overlaps, and gene expression levels.
• Contains 10 distinct tables covering specific aspects of the integrated analysis.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect geographic and temporal bias inherent to the two study locations in China.

Provenance

Source

figshare, author Jienan Han.

Collection Method

Likely generated from field trials, genotyping, and RNA sequencing as part of the described GWAS and transcriptomic analysis.

Time Range

Assessments were conducted in 2018 and 2019.

Freshness

Last updated 2026-04-21 04:02:02; freshness should be verified.

Geography

Data collected at Changping (Beijing) and Gongzhuling (Jilin), China.