School of Life Sciences, North China University of Science and Technology, Tangshan, Hebei 063210, China.
Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
Plant Physiol. 2022 Aug 29;190(1):226-237. doi: 10.1093/plphys/kiac266.
The Brassicaceae is an important plant family. We built a user-friendly, web-based, comparative, and functional genomic database, The Brassicaceae Genome Resource (TBGR, http://www.tbgr.org.cn), based on 82 released genomes from 27 Brassicaceae species. The TBGR database contains a large number of important functional genes, including 4,096 glucosinolate genes, 6,625 auxin genes, 13,805 flowering genes, 36,632 resistance genes, 1,939 anthocyanin genes, and 1,231 m6A genes. A total of 1,174,049 specific guide sequences for clustered regularly interspaced short palindromic repeats and 5,856,479 transposable elements were detected in Brassicaceae. TBGR also provides information on synteny, duplication, and orthologs for 27 Brassicaceae species. The TBGR database contains 1,183,851 gene annotations obtained using the TrEMBL, Swiss-Prot, Nr, GO, and Pfam databases. The BLAST, Synteny, Primer Design, Seq_fetch, and JBrowse tools are provided to help users perform comparative genomic analyses. All the genome assemblies, gene models, annotations, and bioinformatics results can be easily downloaded from the TBGR database. We plan to improve and continuously update the database with newly assembled genomes and comparative genomic studies. We expect the TBGR database to become a key resource for the study of the Brassicaceae.
芸薹科是一类重要的植物。我们基于 27 种芸薹科物种的 82 个已发布基因组，构建了一个用户友好、基于网络的、比较性和功能基因组数据库——芸薹科基因组资源（TBGR，http://www.tbgr.org.cn）。该数据库包含大量重要的功能基因，包括 4096 个硫苷基因、6625 个生长素基因、13805 个开花基因、36632 个抗性基因、1939 个花色素苷基因和 1231 个 m6A 基因。共检测到芸薹科中 1174049 个簇状规律间隔短回文重复特异性指导序列和 5856479 个转座元件。TBGR 还提供了 27 种芸薹科物种的同线性、复制和同源基因信息。该数据库包含了通过 TrEMBL、Swiss-Prot、Nr、GO 和 Pfam 数据库获得的 1183851 个基因注释。BLAST、Synteny、Primer Design、Seq_fetch 和 JBrowse 工具可用于帮助用户进行比较基因组分析。所有的基因组组装、基因模型、注释和生物信息学结果都可以从 TBGR 数据库中轻松下载。我们计划通过新组装的基因组和比较基因组研究来改进和不断更新数据库。我们期望 TBGR 数据库成为芸薹科研究的重要资源。
