Browse Articles

Article|14 Nov 2023|OPEN
Rosaceae fruit transcriptome database (ROFT)—a useful genomic resource for comparing fruits of apple, peach, strawberry, and raspberry
Muzi Li1 ,† , Stephen M. Mount1 and Zhongchi Liu,1 ,
1Department of Cell Biology and Molecular Genetics, University of Maryland, College Park, MD 20742, USA
*Corresponding author. E-mail: zliu@umd.edu
Muzi Li contributed equally to the study.

Horticulture Research 11,
Article number: uhad240 (2024)
doi: https://doi.org/10.1093/hr/uhad240
Views: 41

Received: 16 Aug 2023
Accepted: 06 Nov 2023
Published online: 14 Nov 2023

Abstract

Rosaceae is a large plant family consisting of many economically important fruit crops including peach, apple, pear, strawberry, raspberry, plum, and others. Investigations into their growth and development will promote both basic understanding and progress toward increasing fruit yield and quality. With the ever-increasing high-throughput sequencing data of Rosaceae, comparative studies are hindered by inconsistency of sample collection with regard to tissue, stage, growth conditions, and by vastly different handling of the data. Therefore, databases that enable easy access and effective utilization of directly comparable transcript data are highly desirable. Here, we describe a database for comparative analysis, ROsaceae Fruit Transcriptome database (ROFT), based on RNA-seq data generated from the same laboratory using similarly dissected and staged fruit tissues of four important Rosaceae fruit crops: apple, peach, strawberry, and red raspberry. Hence, the database is unique in allowing easy and robust comparisons among fruit gene expression across the four species. ROFT enables researchers to query orthologous genes and their expression patterns during different fruit developmental stages in the four species, identify tissue-specific and tissue-/stage-specific genes, visualize and compare ortholog expression in different fruit types, explore consensus co-expression networks, and download different data types. The database provides users access to vast amounts of RNA-seq data across the four economically important fruits, enables investigations of fruit type specification and evolution, and facilitates the selection of genes with critical roles in fruit development for further studies.