数字农科院2.0

CuGenDBv2: an updated database for cucurbit genomics

文献类型： 外文期刊

作者： Yu, Jingyin;Wu, Shan;Sun, Honghe;Wang, Xin;Tang, Xuemei;Guo, Shaogui;Zhang, Zhonghua;Huang, Sanwen;Xu, Yong;Weng, Yiqun;Mazourek, Michael;McGregor, Cecilia;Renner, Susanne S.;Branham, Sandra;Kousik, Chandrasekar;Wechter, W. Patrick;Levi, A

作者机构：

期刊名称： NUCLEIC ACIDS RESEARCH

ISSN： 0305-1048

年卷期： 2022 年

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收录情况： SCIE（2022版）

摘要： The Cucurbitaceae (cucurbit) family consists of about 1,000 species in 95 genera, including many economically important and popular fruit and vegetable crops. During the past several years, reference genomes have been generated for >20 cucurbit species, and variome and transcriptome profiling data have been rapidly accumulated for cucurbits. To efficiently mine, analyze and disseminate these large-scale datasets, we have developed an updated version of Cucurbit Genomics Database. The updated database, CuGenDBv2 (http://cucurbitgenomics.org/v2), currently hosts 34 reference genomes from 27 cucurbit species/subspecies belonging to 10 different genera. Protein-coding genes from these genomes have been comprehensively annotated by comparing their protein sequences to various public protein and domain databases. A novel 'Genotype' module has been implemented to facilitate mining and analysis of the functionally annotated variome data including SNPs and small indels from large-scale genome sequencing projects. An updated 'Expression' module has been developed to provide a comprehensive gene expression atlas for cucurbits. Furthermore, synteny blocks between any two and within each of the 34 genomes, representing a total of 595 pair-wise genome comparisons, have been identified and can be explored and visualized in the database.

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