An EFP Browser for Visualizing Strawberry Fruit and Flower Transcriptomes

Overview

Journal Hortic Res

Publisher Oxford University Press

Date 2017 Jul 5

PMID 28674614

Citations 39

Authors

Charles Hawkins

Julie Caruana

Jiaming Li

Chris Zawora

Omar Darwish

Jun Wu

Nadim Alkharouf

Zhongchi Liu

Affiliations

Soon will be listed here.

Abstract

Wild strawberry is emerging as an important model system for the cultivated strawberry due to its diploid genome and availability of extensive transcriptome data and a range of molecular genetic tools. Being able to better utilize these tools, especially the transcriptome data, will greatly facilitate research progress in strawberry and other fruit crops. The electronic fluorescent pictograph (eFP) software is a useful and popular tool to display transcriptome data visually, and is widely used in other model organisms including and mouse. Here we applied eFP to display wild strawberry RNA sequencing (RNA-seq) data from 42 different tissues and stages, including various flower and fruit developmental stages. In addition, we generated eight additional RNA-seq data sets to represent tissues from ripening-stage receptacle fruit from yellow-colored and red-colored wild strawberry varieties. Differential gene expression analysis between these eight data sets provides additional information for understanding fruit-quality traits. Together, this work greatly facilitates the utility of the extensive transcriptome data for investigating strawberry flower and fruit development as well as fruit-quality traits.

Citing Articles

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