College of Agronomy and Biotechnology, Southwest University, Beibei, Chongqing 400715, China.
Institute of Innovation & Entrepreneurship, Southwest University, Beibei, Chongqing 400715, China.
Int J Mol Sci. 2020 Aug 13;21(16):5831. doi: 10.3390/ijms21165831.
The genus contains several economically important crops, including rapeseed (, 2 = 38, AACC), the second largest source of seed oil and protein meal worldwide. However, research in rapeseed is hampered because it is complicated and time-consuming for researchers to access different types of expression data. We therefore developed the Expression Database (BrassicaEDB) for the research community. In the current BrassicaEDB, we only focused on the transcriptome level in rapeseed. We conducted RNA sequencing (RNA-Seq) of 103 tissues from rapeseed cultivar ZhongShuang11 (ZS11) at seven developmental stages (seed germination, seedling, bolting, initial flowering, full-bloom, podding, and maturation). We determined the expression patterns of 101,040 genes via FPKM analysis and displayed the results using the eFP browser. We also analyzed transcriptome data for rapeseed from 70 BioProjects in the SRA database and obtained three types of expression level data (FPKM, TPM, and read counts). We used this information to develop the BrassicaEDB, including "eFP", "Treatment", "Coexpression", and "SRA Project" modules based on gene expression profiles and "Gene Feature", "qPCR Primer", and "BLAST" modules based on gene sequences. The BrassicaEDB provides comprehensive gene expression profile information and a user-friendly visualization interface for rapeseed researchers. Using this database, researchers can quickly retrieve the expression level data for target genes in different tissues and in response to different treatments to elucidate gene functions and explore the biology of rapeseed at the transcriptome level.
包含几个具有重要经济价值的作物,包括油菜(,2 = 38,AACC),是世界上第二大的种子油和蛋白质饲料来源。然而,油菜的研究受到阻碍,因为研究人员获取不同类型的表达数据既复杂又耗时。因此,我们为研究界开发了油菜表达数据库(BrassicaEDB)。在当前的 BrassicaEDB 中,我们仅关注油菜的转录组水平。我们对油菜品种中双 11(ZS11)的 103 种组织在七个发育阶段(种子发芽、幼苗、抽薹、初花、盛花、结荚和成熟)进行了 RNA 测序(RNA-Seq)。我们通过 FPKM 分析确定了 101040 个基因的表达模式,并使用 eFP 浏览器显示结果。我们还分析了 SRA 数据库中 70 个 BioProjects 中的油菜转录组数据,并获得了三种表达水平数据(FPKM、TPM 和读计数)。我们利用这些信息开发了 BrassicaEDB,包括基于基因表达谱的“eFP”、“Treatment”、“Coexpression”和“SRA Project”模块,以及基于基因序列的“Gene Feature”、“qPCR Primer”和“BLAST”模块。BrassicaEDB 为油菜研究人员提供了全面的基因表达谱信息和用户友好的可视化界面。使用这个数据库,研究人员可以快速检索不同组织和不同处理下目标基因的表达水平数据,以阐明基因功能并探索油菜在转录组水平上的生物学特性。