Rice GA2ox Gene Family Mutant Phenotypes from Systematic CRISPR/Cas9 Editing
by Kun-Ting Hsieh·Updated 1mo ago
1.8 MB1files
Available on 1 platform
Sign in to view source links and access this dataset
Description
Kun-Ting Hsieh's research dataset details phenotypic analyses of 36 CRISPR/Cas9-edited rice lines targeting nine OsGA2ox genes. The data, published on figshare in 2026, includes single-, double-, triple-, and quadruple-gene knockout mutants. It systematically compares gene-specific and combinatorial functions on agronomic traits like plant height, grain number, and fertility.
Use Cases
Identify dominant and minor gene paralogs based on mutant phenotype severity described in the results.
Model hierarchical regulatory frameworks within gene families based on combinatorial mutant analysis.
Investigate trade-offs between plant growth and reproductive traits using data on height increases versus reduced grain weight/fertility.
Compare functional redundancy patterns across different gene classes (I, II, III) as outlined in the study.
Strengths
Includes data from 36 distinct CRISPR/Cas9-edited mutant lines.
Targets all nine members of the OsGA2ox gene family for systematic comparison.
Analyzes combinatorial effects through double, triple, and quadruple mutants.
Published under a permissive CC-BY-4.0 license for 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 1.8 MB PDF, which may require extraction for computational analysis.
Provenance
Source
Kun-Ting Hsieh via figshare.
Collection Method
Generated through CRISPR/Cas9 gene editing and systematic phenotypic analysis of rice mutants.
Freshness
Last updated 2026-05-07 05:42:22; freshness should be verified.
Primary data is embedded within a PDF document (1.8 MB), which may require parsing to access structured data.