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Article|08 Apr 2024|OPEN
HortGenome Search Engine, a universal genomic search engine for horticultural crops
Sen Wang1,2 ,† , Shangxiao Wei1,2 ,† , Yuling Deng1,2 , Shaoyuan Wu1,2 , Haixu Peng1,2 , You Qing1,2 , Xuyang Zhai1,2 , Shijie Zhou1,2 , Jinrong Li1,2 , Hua Li1,2 , Yijian Feng1,2 , Yating Yi1,2 , Rui Li1,2 , Hui Zhang1,2 , Yiding Wang5 , Renlong Zhang5 , Lu Ning2,6 , Yuncong Yao1 , , Zhangjun Fei3,4 , , Yi Zheng,1,2 ,
1Beijing Key Laboratory for Agricultural Application and New Technique, College of Plant Science and Technology, Beijing University of Agriculture, Beijing 102206, China
2Bioinformatics Center, Beijing University of Agriculture, Beijing 102206, China
3Boyce Thompson Institute, Cornell University, Ithaca, NY 14853, USA
4USDA-ARS, Robert W. Holley Center for Agriculture and Health, Ithaca, NY 14853, USA
5College of Intelligent Science and Engineering, Beijing University of Agriculture, Beijing 102206, China
6Library, Beijing University of Agriculture, Beijing 102206, China
*Corresponding author. E-mail: yaoyc_20@126.com,zf25@cornell.edu,yz@moilab.net
Both authors contributed equally to the study.

Horticulture Research 11,
Article number: uhae100 (2024)
doi: https://doi.org/10.1093/hr/uhae100
Views: 1285

Received: 01 Dec 2023
Accepted: 27 Mar 2024
Published online: 08 Apr 2024

Abstract

Horticultural crops comprising fruit, vegetable, ornamental, beverage, medicinal and aromatic plants play essential roles in food security and human health, as well as landscaping. With the advances of sequencing technologies, genomes for hundreds of horticultural crops have been deciphered in recent years, providing a basis for understanding gene functions and regulatory networks and for the improvement of horticultural crops. However, these valuable genomic data are scattered in warehouses with various complex searching and displaying strategies, which increases learning and usage costs and makes comparative and functional genomic analyses across different horticultural crops very challenging. To this end, we have developed a lightweight universal search engine, HortGenome Search Engine (HSE; http://hort.moilab.net), which allows for the querying of genes, functional annotations, protein domains, homologs, and other gene-related functional information of more than 500 horticultural crops. In addition, four commonly used tools, including ‘BLAST’, ‘Batch Query’, ‘Enrichment analysis’, and ‘Synteny Viewer’ have been developed for efficient mining and analysis of these genomic data.