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利用比较基因组学方法预测短小芽孢杆菌转录调控网络

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为探讨短小芽孢杆菌(Bacillus pumilus)的基因调控关系,通过在其亲缘关系最近的模式菌——枯草芽孢杆菌(Bacillus subtilis)中寻找同源转录因子及其调控基因的方式,预测出B.pumilus的候选转录调控网络;并利用转录因子绑定位点的位置权重矩阵(Positional Weight Matrix)在B.pumilus全基因组的基因上游区域扫描motif的方式来验证候选转录调控网络;最后再整合其他B.pumilus专属的调控数据,最终形成一个较完备的B.pumilus基因转录调控网络(包含195个转录因子和1201个受控基因).上述结果表明,在细菌中,利用比较基因组学的方法,以一个被广泛研究的模式生物所积累的基因转录调控关系数据为基础,推测出亲缘关系较近的其他物种的基因调控网络,其结果是可靠的,为探索一些尚不具备大规模基因表达芯片数据的物种的基因调控网络提供了一种可行的方法.
A transcriptional regulatory network of Bacillus pumilus predicted by comparative genomcis methods
To explore the gene transcriptional regulatory relations of Bacillus pumilus, a candidate tran-scriptional regulatory network of B. Pumilus has been predicted by searching the homologous transcription factors (TFs) and the homologous regulated genes from Bacillus subtilis genome. The positional weight matrix(PWM) of transcription factor binding sites(TFBSs) was used to scan the whole B. Pumilus genome in order to verify the candidate transcriptional regulatory networks. Finally, a more complete transcriptional regulatory networks had been constructed by integrating with other B. Pumilus TFs and regulated genes. The network consist of 195 TFs and 1201 regulated genes. The result showed that, in bacteria, with the data set of the closely related model species which has a long history of experimental research, it is feasible to predict the transcriptional regulatory network by using comparative genomics methods. The study provided a feasible approach for exploring gene regulatory networks of the organism which lacks large-scale gene expression microarray data.

comparative genomicsB. PumilusB. Subtilisgene transcriptional regulatory network

桂俊鸿、李校、赵培虎、刘震、王海燕、张义正

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四川大学生命科学学院四川省分子生物学和生物技术重点实验室,成都610064

比较基因组学 短小芽孢杆菌 枯草芽孢杆菌 转录调控网络

国家自然科学基金国家自然科学基金教育部高等学校博士学科点专项科研基金

6100114931070071200806101013

2012

四川大学学报(自然科学版)
四川大学

四川大学学报(自然科学版)

CSTPCDCSCD北大核心
影响因子:0.358
ISSN:0490-6756
年,卷(期):2012.49(1)
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