Rosaceae fruit transcriptome database(ROFT)-a useful genomic resource for comparing fruits of apple,peach,strawberry,and raspberry
作者机构:Department of Cell Biology and Molecular GeneticsUniversity of MarylandCollege ParkMD 20742USA
出 版 物:《Horticulture Research》 (园艺研究(英文))
年 卷 期:2023年第10卷第12期
页 面:276-285页
核心收录:
学科分类:0710[理学-生物学] 07[理学] 071007[理学-遗传学]
基 金:We would like to thank Mr.Andrew Tong for help in implementing the hyperlinks of the database and members of the Liu lab for helpful comments on the website.This work has been supported by a grant from the National Science Foundation(NSF)(IOS-1444987)to ZL SMM.ML was supported in part by an National Science Foundation award(DGE-1632976)
摘 要:Rosaceae is a large plant family consisting of many economically important fruit crops including peach,apple,pear,strawberry,raspberry,plum,and *** into their growth and development will promote both basic understanding and progress toward increasing fruit yield and *** 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 ***,databases that enable easy access and effective utilization of directly comparable transcript data are highly ***,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 ***,the database is unique in allowing easy and robust comparisons among fruit gene expression across the four *** 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 *** 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.