注定要成功：植物病原细菌转录因子结合位点预测及其对毒力和环境适应的贡献
Bound to succeed: Transcription factor binding site prediction and its contribution to understanding virulence and environmental adaptation in bacterial plant pathogens
摘要：
细菌性植物病原体依赖于一系列转录因子来微调它们对不断变化的环境条件的反应，并整合成功致病所需的遗传资源。转录因子结合位点的预测是阐明调控网络的重要工具，并且已经在多个属的植物病原细菌中进行，以更好地理解存活和致病机制。已被表征的转录因子结合位点的主要类别在这里进行了审查，重点是用于位点识别和其中的挑战，它们对不同类型的序列数据集的适用性，并通过结合位点映射获得的毒力和存活机制的见解。还讨论了一种改进的策略，建立E值截止时，使用现有的模型来筛选未表征的基因组。
英文摘要：
Bacterial plant pathogens rely on a battalion of transcription factors to fine-tune their response to changing environmental conditions and marshal the genetic resources required for successful pathogenesis. Prediction of transcription factor binding sites represents an important tool for elucidating regulatory networks, and has been conducted in multiple genera of plant pathogenic bacteria for the purpose of better understanding mechanisms of survival and pathogenesis. The major categories of transcription factor binding sites that have been characterized are reviewed here with emphasis on in silico methods used for site identification and challenges therein, their applicability to different types of sequence datasets, and insights into mechanisms of virulence and survival that have been gained through binding site mapping. An improved strategy for establishing E value cutoffs when using existing models to screen uncharacterized genomes is also discussed.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
