Agricultural and Life Sciences (IFAS)
Seonghee Lee Lab
Led by Seonghee Lee · Horticultural Sciences
What we study
The lab studies strawberry genetics and genomics, using advanced tools like CRISPR and high-throughput sequencing to improve traits like flavor, disease resistance, and fruit quality. They develop new varieties by combining molecular breeding with traditional methods.
What working here is like
- Wet lab
- Computational
- Plants
- Coding helps
- Projects
- 3
- Papers
- 5
Current projects
Construction of telomere-to-telomere quality haplotype-phased reference genome of octoploid cultivated strawberry ‘Florida Brilliance’
Building a high-quality genome map for the strawberry variety ‘Florida Brilliance’.
Development of highly efficient transient gene expression methods in strawberry
Develops faster, more efficient ways to temporarily switch on genes in strawberry plants, so researchers can test what genes do without waiting for full plants to grow.
Show 1 more projectsShow fewer
Establishment of CRISPR gene editing techniques in octoploid strawberry
Using CRISPR to edit genes in octoploid strawberries for trait improvement.
Summaries are written by AI in plain language from public symposium abstracts and may be imperfect.
Recent papers, explained
- A Stable and Rapid Protoplast-Based CRISPR/Cas9-Ribonucleoprotein Complex Screening System for Octoploid Strawberry (Fragaria × ananassa)
2026 · Plants
Creates a method to edit strawberry genes using protoplasts, avoiding the need for DNA in the process.
- Rapid screening of genome edited strawberry (Fragaria ×ananassa) regenerants using high-resolution melting analysis followed by Amplicon sequencing
2026 · BMC Research Notes
Develops a fast way to check if CRISPR-edited strawberry plants have the right genetic changes using melting analysis.
Show 3 more papersShow fewer
- Building a directed evolution – genome editing pipeline for metabolic traits in specialty crop breeding
2025 · Horticulture Research
Combines CRISPR editing with directed evolution to improve traits like sugar and GABA in specialty crops.
- Integrative Machine Learning Approaches for Identifying Loci Associated with Anthracnose Resistance in Strawberry
2025 · Plants
Uses machine learning to find genes that make strawberries resistant to a common disease.
- Whitening fruit by CRISPR/Cas9-mediated homoeolog-specific gene editing of MYB10-1B in strawberry ( F . × ananassa )
2025 · Horticulture Research
Uses CRISPR to edit strawberry genes to make white fruit by targeting a specific color-related gene.
Plain-language summaries are AI-written and reviewed by us; check the paper for details.
How to reach out
Seonghee Lee hasn't set up this page yet. You can also look them up in the UF directory (search “Seonghee Lee”).