真菌G1-S细胞周期阶段的转录调控:通过计算分析的见解

Q3 Computer Science
V. Martyanov, R. H. Gross
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引用次数: 0

摘要

转录因子复合物Mlu1-box binding factor (MBF)和Swi4/6 cell cycle box binding factor (SBF)调控酿酒酵母的细胞周期。它们激活数百个基因,并负责从G1期到S期的非正常细胞周期进程。我们研究了真菌进化过程中MBF和SBF结合位点的保守性。在37种真菌中鉴定了酿酒酵母的同源靶点,并分析了其上游区域推定的转录因子结合位点。两组在其上游区域均表现出特定的推测调控DNA序列富集,并表现出不同的首选上游基序位置、基序进化保护的不同模式和被调控基因独特生物学功能的富集。结果表明,尽管MBF和SBF转录因子与G1-S转录调控相关的上游DNA基序序列高度相似,但上游序列特征的重要差异可能有助于区分这两种看似相似的调控模式。结合上游基序序列比较、基序位置分布和进化变异性,可以补充有关各自基因产物作用的功能信息,有助于阐明转录调控途径和功能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Transcriptional Regulation in the G1-S Cell Cycle Stage in Fungi: Insights through Computational Analysis
The transcription factor complexes Mlu1-box binding factor (MBF) and Swi4/6 cell cycle box binding factor (SBF) regulate the cell cycle in Saccharomyces cerevisiae. They activate hundreds of genes and are responsible for nor- mal cell cycle progression from G1 to S phase. We investigated the conservation of MBF and SBF binding sites during fungal evolution. Orthologs of S. cerevisiae targets of these transcription factors were identified in 37 fungal species and their upstream regions were analyzed for putative transcription factor binding sites. Both groups displayed enrichment in specific putative regulatory DNA sequences in their upstream regions and showed different preferred upstream motif loca- tions, variable patterns of evolutionary conservation of the motifs and enrichment in unique biological functions for the regulated genes. The results indicate that despite high sequence similarity of upstream DNA motifs putatively associated with G1-S transcriptional regulation by MBF and SBF transcription factors, there are important upstream sequence feature differences that may help differentiate the two seemingly similar regulatory modes. The incorporation of upstream motif sequence comparison, positional distribution and evolutionary variability of the motif can complement functional infor- mation about roles of the respective gene products and help elucidate transcriptional regulatory pathways and functions.
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来源期刊
Open Bioinformatics Journal
Open Bioinformatics Journal Computer Science-Computer Science (miscellaneous)
CiteScore
2.40
自引率
0.00%
发文量
4
期刊介绍: The Open Bioinformatics Journal is an Open Access online journal, which publishes research articles, reviews/mini-reviews, letters, clinical trial studies and guest edited single topic issues in all areas of bioinformatics and computational biology. The coverage includes biomedicine, focusing on large data acquisition, analysis and curation, computational and statistical methods for the modeling and analysis of biological data, and descriptions of new algorithms and databases. The Open Bioinformatics Journal, a peer reviewed journal, is an important and reliable source of current information on the developments in the field. The emphasis will be on publishing quality articles rapidly and freely available worldwide.
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