Rice GA2ox Gene Family Mutant Phenotypes from Systematic CRISPR Knockouts

Kun-Ting Hsieh's research dataset contains phenotypic measurements from 36 CRISPR/Cas9-edited rice lines targeting nine OsGA2ox genes. The data, last updated in May 2026, includes single-, double-, triple-, and quadruple-gene knockout mutants and their effects on agronomic traits like plant height, grain number, and fertility. It provides allele-validated genetic evidence for functional diversification among gibberellin 2-oxidase paralogs in rice.

Use Cases

• Identify dominant and minor gene paralogs based on comparative mutant phenotype analysis.
• Model hierarchical regulatory frameworks within multigene families using combinatorial knockout data.
• Investigate trade-offs between agronomic traits like plant height and grain yield from hormone pathway manipulation.

Strengths

• Systematic generation of 36 mutant lines targeting all nine genes in the family.
• Analysis includes combinatorial knockouts (single, double, triple, and quadruple mutants) to assess redundancy.
• Data is published under a CC-BY-4.0 license, facilitating reuse.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data is contained within a 2.6 MB PDF, which may require extraction to be used computationally.

Provenance

Source

Kun-Ting Hsieh

Collection Method

Generated via CRISPR/Cas9 gene editing of rice lines and systematic phenotypic analysis.

Freshness

Last updated 2026-05-07 05:42:21; freshness should be verified.