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Related Experiment Video

Updated: Feb 27, 2026

Comprehensive Workflow for the Genome-wide Identification and Expression Meta-analysis of the ATL E3 Ubiquitin Ligase Gene Family in Grapevine

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Published on: December 22, 2017

An eFP browser for visualizing strawberry fruit and flower transcriptomes.

Charles Hawkins¹, Julie Caruana¹, Jiaming Li^1,2

¹Department of Cell Biology and Molecular Genetics, University of Maryland, College Park, MD 20742, USA.

Horticulture Research

|July 5, 2017

Summary

This summary is machine-generated.

Wild strawberry (Fragaria vesca) research is advancing with new tools. Electronic Fluorescent Pictograph (eFP) software now visualizes gene expression data, aiding studies on flower, fruit development, and quality traits.

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Area of Science:

Plant Biology
Genomics
Molecular Genetics

Background:

Wild strawberry (Fragaria vesca) is a key model for cultivated strawberry research due to its diploid genome and available genetic tools.
Utilizing transcriptome data is crucial for advancing strawberry and other Rosaceae fruit crop research.

Purpose of the Study:

To visually display wild strawberry RNA sequencing (RNA-seq) data using electronic fluorescent pictograph (eFP) software.
To enhance the accessibility and utility of extensive transcriptome data for research.

Main Methods:

Applied eFP software to visualize RNA-seq data from 42 diverse wild strawberry tissues and developmental stages.
Generated eight additional RNA-seq datasets for ripening receptacle fruit from different colored varieties.
Performed differential gene expression analysis on fruit-specific datasets.

Main Results:

Successfully visualized wild strawberry transcriptome data across various flower and fruit development stages using eFP.
Identified gene expression patterns related to fruit ripening and quality traits by comparing yellow and red varieties.
Provided a valuable resource for understanding gene function in wild strawberry.

Conclusions:

The application of eFP software significantly enhances the utility of wild strawberry transcriptome data.
This work facilitates deeper investigation into strawberry flower and fruit development.
The findings contribute to understanding and improving fruit-quality traits in strawberries.