1. Cucurbit Genomics Database (CuGenDB) : A central portal for comparative and functional genomics of cucurbit crops
- Author
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Nurit Katzir, Michael Mazourek, José Blanca, W. Patrick Wechter, Honghe Sun, Arthur A. Schaffer, Kai-Shu Ling, Umesh K. Reddy, Kaori Ando, Kun Zhao, Shan-dong Wu, Joseph Burger, Yiqun Weng, Yi Zheng, Zhonghua Zhang, Rebecca Grumet, Yang Liu, Yang Bai, Amnon Levi, Shaogui Guo, James D. McCreight, Sanwen Huang, Xueme Tang, Yong Xu, James J. Giovannoni, Chen Jiao, Yaakov Tadmor, Jordi Garcia-Mas, Zhangjun Fei, Department of Agriculture (US), National Institute of Food and Agriculture (US), United States - Israel Binational Agricultural Research and Development Fund, Producció Vegetal, and Genòmica i Biotecnologia
- Subjects
Crops, Agricultural ,Information Storage and Retrieval ,Genomics ,Biology ,computer.software_genre ,Synteny ,Genome ,03 medical and health sciences ,0302 clinical medicine ,Cucurbita ,Species Specificity ,Databases, Genetic ,Genetics ,Database Issue ,Transcriptome Profiles ,Gene ,030304 developmental biology ,Expressed Sequence Tags ,Internet ,0303 health sciences ,Expressed sequence tag ,Database ,Gene Expression Profiling ,Computational Biology ,Gene expression profiling ,GENETICA ,633 - Cultius i produccions ,computer ,Functional genomics ,Genome, Plant ,030217 neurology & neurosurgery - Abstract
[EN] The Cucurbitaceae family (cucurbit) includes several economically important crops, such as melon, cucumber, watermelon, pumpkin, squash and gourds. During the past several years, genomic and genetic data have been rapidly accumulated for cucurbits. To store, mine, analyze, integrate and disseminate these large-scale datasets and to provide a central portal for the cucurbit research and breeding community, we have developed the Cucurbit Genomics Database (CuGenDB; http://cucurbitgenomics.org) using the Tripal toolkit. The database currently contains all available genome and expressed sequence tag (EST) sequences, genetic maps, and transcriptome profiles for cucurbit species, as well as sequence annotations, biochemical pathways and comparative genomic analysis results such as synteny blocks and homologous gene pairs between different cucurbit species. A set of analysis and visualization tools and user-friendly query interfaces have been implemented in the database to facilitate the usage of these large-scale data by the community. In particular, two new tools have been developed in the database, a `SyntenyViewer¿ to view genome synteny between different cucurbit species and an `RNA-Seq¿ module to analyze and visualize gene expression profiles. Both tools have been packed as Tripal extension modules that can be adopted in other genomics databases developed using the Tripal system., USDA National Institute of Food and Agriculture Specialty Crop Research Initiative [2015-51181-24285]; US-Israel Binational Agricultural Research and Development Fund [IS-3333-02, IS-3877-06CR and IS-4223-09C]; USDA Agricultural Research Service, and by SNC Laboratoire ASL, de Ruiter Seeds B.V., Enza Zaden B.V., Gautier Semences S.A., Nunhems B.V., Rijk Zwaan B.V., Sakata Seed Inc, Semillas Fito S.A., Seminis Vegetable Seeds Inc, Syngenta Seeds B.V., Takii and Company Ltd, Vilmorin and Cie S.A. and Zeraim Gedera Ltd, all of them as part of the support to the International Cucurbit Genomics Initiative (ICuGI). Funding for open access charge: USDA National Institute of Food and Agriculture.
- Published
- 2021