UMR 186 Résistance des Plantes aux Bioagresseurs, Institut de Recherche pour le Développement, Montpellier, France.
PLoS One. 2013 Jul 15;8(7):e68464. doi: 10.1371/journal.pone.0068464. Print 2013.
Transcription Activators-Like Effectors (TALEs) belong to a family of virulence proteins from the Xanthomonas genus of bacterial plant pathogens that are translocated into the plant cell. In the nucleus, TALEs act as transcription factors inducing the expression of susceptibility genes. A code for TALE-DNA binding specificity and high-resolution three-dimensional structures of TALE-DNA complexes were recently reported. Accurate prediction of TAL Effector Binding Elements (EBEs) is essential to elucidate the biological functions of the many sequenced TALEs as well as for robust design of artificial TALE DNA-binding domains in biotechnological applications. In this work a program with improved EBE prediction performances was developed using an updated specificity matrix and a position weight correction function to account for the matching pattern observed in a validation set of TALE-DNA interactions. To gain a systems perspective on the large TALE repertoires from X. oryzae strains, this program was used to predict rice gene targets for 99 sequenced family members. Integrating predictions and available expression data in a TALE-gene network revealed multiple candidate transcriptional targets for many TALEs as well as several possible instances of functional convergence among TALEs.
转录激活子样效应因子(TALEs)属于黄单胞菌属植物病原菌的一种毒力蛋白家族,它们可以被转运到植物细胞内。在细胞核中,TALEs 作为转录因子诱导易感基因的表达。最近报道了 TALE-DNA 结合特异性的编码以及 TALE-DNA 复合物的高分辨率三维结构。准确预测 TAL 效应物结合元件(EBE)对于阐明许多已测序 TALEs 的生物学功能以及在生物技术应用中稳健设计人工 TALE DNA 结合结构域至关重要。在这项工作中,使用更新的特异性矩阵和位置权重校正函数来解释在 TALE-DNA 相互作用验证集中观察到的匹配模式,开发了一个具有改进 EBE 预测性能的程序。为了从 X.oryzae 菌株的大量 TALE 库中获得系统的视角,该程序用于预测 99 个已测序家族成员的水稻基因靶标。将预测结果和可用的表达数据整合到 TALE-基因网络中,揭示了许多 TALEs 的多个候选转录靶标,以及 TALEs 之间可能存在的功能趋同实例。