Wang Tingting, Sun Wenju, Fan Ligang, Hua Canfeng, Wu Nan, Fan Shaorong, Zhang Jilin, Deng Xin, Yan Jian
Department of Biomedical Sciences, City University of Hong Kong, Kowloon Tong, Hong Kong SAR, China.
School of Medicine, Northwest University, Xi'an, China.
Elife. 2021 Mar 29;10:e61885. doi: 10.7554/eLife.61885.
A high-throughput systematic evolution of ligands by exponential enrichment assay was applied to 371 putative TFs in , which resulted in the robust enrichment of 199 unique sequence motifs describing the binding specificities of 182 TFs. By scanning the genome, we predicted in total 33,709 significant interactions between TFs and their target loci, which were more than 11-fold enriched in the intergenic regions but depleted in the gene body regions. To further explore and delineate the physiological and pathogenic roles of TFs in , we constructed regulatory networks for nine major virulence-associated pathways and found that 51 TFs were potentially significantly associated with these virulence pathways, 32 of which had not been characterized before, and some were even involved in multiple pathways. These results will significantly facilitate future studies on transcriptional regulation in and other relevant pathogens, and accelerate to discover effective treatment and prevention strategies for the associated infectious diseases.
采用指数富集配体的高通量系统进化分析方法，对[具体物种]中的371个假定转录因子进行分析，结果有力地富集了199个独特的序列基序，这些基序描述了182个转录因子的结合特异性。通过扫描基因组，我们总共预测了转录因子与其靶位点之间33709个显著相互作用，这些相互作用在基因间区域富集超过11倍，但在基因体内区域减少。为了进一步探索和描述[具体物种]中转录因子的生理和致病作用，我们构建了九条主要毒力相关途径的调控网络，发现51个转录因子可能与这些毒力途径显著相关，其中32个以前未被表征，有些甚至涉及多个途径。这些结果将极大地促进未来对[具体物种]和其他相关病原体转录调控的研究，并加速发现相关传染病的有效治疗和预防策略。
