The bayberry database: a multiomic database for Myrica rubra, an important fruit tree with medicinal value

文献类型： 外文期刊

第一作者： Ren, Haiying

作者： Ren, Haiying;He, Yuanhao;Qi, Xingjiang;Zheng, Xiliang;Zhang, Shuwen;Yu, Zheping;Hu, Fengrong;He, Yuanhao

作者机构：

关键词： Chinese bayberry; Database; Genome; Transcriptome; Tools; Germplasm resource

期刊名称：BMC PLANT BIOLOGY （ 影响因子：4.215； 五年影响因子：4.96 ）

ISSN： 1471-2229

年卷期： 2021 年 21 卷 1 期

页码：

收录情况： SCI

摘要： Background: Chinese bayberry (Myrica rubra Sieb. & Zucc.) is an important fruit tree in China, and has high medicinal value. At present, the genome, transcriptome and germplasm resources of bayberry have been reported. In order to make more convenient use of these data, the Bayberry Database was established. Results: The Bayberry Database is a comprehensive and intuitive data platform for examining the diverse annotated genome and germplasm resources of this species. This database contains nine central functional domains to interact with multiomic data: home, genome, germplasm, markers, tools, map, expression, reference, and contact. All domains provide pathways to a variety of data types composed of a reference genome sequence, transcriptomic data, gene patterns, phenotypic data, fruit images of Myrica rubra varieties, gSSR data, gene maps with annotation and evolutionary analyses. The tools module includes BLAST search, keyword search, sequence fetch and enrichment analysis functions. Conclusions: The web address of the database is as follows . The Myrica rubra database is an intelligent, interactive, and user-friendly system that enables researchers, breeders and horticultural personnel to browse, search and retrieve relevant and useful information and thus facilitate genomic research and breeding efforts concerning Myrica rubra. This database will be of great help to bayberry research and breeding in the future.

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