Tran Lam-Son Phan, Mochida Keiichi
RIKEN Plant Science Center, Signaling Pathway Research Unit, 1-7-22, Suehiro-cho, Tsurumi, Yokohama Japan.
RIKEN Plant Science Center, Gene Discovery Research Group; 1-7-22, Suehiro-cho, Tsurumi, Yokohama Japan.
Plant Signal Behav. 2010 May;5(5):550-2. doi: 10.4161/psb.11088. Epub 2010 Mar 10.
Sequence-specific DNA-binding transcription factors (TFs) are key molecular switches that control many of the biological processes in a cell or organism. Recent completion of the genomic sequences of soybean (Glycine max), Locus japonicus and Medicago truncatula has enabled us to carry out large-scale data mining to identify and annotate regulatory TFs for functional and comparative genomics of the TF repertoires of these three major legumes in themselves or with those of other species. The identified TFs of each legume were grouped in 61 TF families, and these TFs all together were integrated into a so-called LegumeTFDB (http://legumetfdb.psc.riken.jp). Detailed annotations of TF genes can be accessed at LegumeTFDB. Moreover, we included hyperlinks to expression data of a number of soybean TF genes, generated by high-throughput microarray analyses to facilitate functional prediction. LegumeTFDB enables the search for all types of known abiotic stress responsive motifs as well as cis-motifs provided by the PLACE database in promoter region of each of the TFs. Integration of expression analysis, comparative sequence analysis and cis-motif and GO annotations provided through this study would aid in systematic functional prediction of the legume TFs. LegumeTFDB provides an important user-friendly public resource for comparative genomics and understanding of transcriptional regulation in three important legumes and beyond.
序列特异性DNA结合转录因子(TFs)是控制细胞或生物体中许多生物学过程的关键分子开关。大豆(Glycine max)、百脉根(Locus japonicus)和蒺藜苜蓿(Medicago truncatula)基因组序列的近期完成,使我们能够进行大规模数据挖掘,以识别和注释调控转录因子,用于这三种主要豆科植物自身或与其他物种转录因子库的功能和比较基因组学研究。每种豆科植物中鉴定出的转录因子被归为61个转录因子家族,并且这些转录因子被整合到一个所谓的豆科转录因子数据库(http://legumetfdb.psc.riken.jp)中。在豆科转录因子数据库中可以获取转录因子基因的详细注释。此外,我们还添加了许多大豆转录因子基因的表达数据的超链接,这些数据由高通量微阵列分析生成,以促进功能预测。豆科转录因子数据库能够搜索所有类型的已知非生物胁迫响应基序以及PLACE数据库提供的顺式基序,这些基序存在于每个转录因子的启动子区域。通过本研究提供的表达分析、比较序列分析以及顺式基序和基因本体注释的整合,将有助于对豆科转录因子进行系统的功能预测。豆科转录因子数据库为比较基因组学以及理解三种重要豆科植物及其他植物的转录调控提供了一个重要的、用户友好的公共资源。