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Genome-Scale Co-Expression Network Comparison across Escherichia coli and Salmonella enterica Serovar Typhimurium Reveals Significant Conservation at the Regulon Level of Local Regulators Despite Their Dissimilar Lifestyles

机译:大肠杆菌和沙门氏菌鼠伤寒沙门氏菌的基因组规模共表达网络比较显示尽管他们的生活方式不同当地监管机构的常规水平仍显示出重要的保护作用。

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摘要

Availability of genome-wide gene expression datasets provides the opportunity to study gene expression across different organisms under a plethora of experimental conditions. In our previous work, we developed an algorithm called COMODO (COnserved MODules across Organisms) that identifies conserved expression modules between two species. In the present study, we expanded COMODO to detect the co-expression conservation across three organisms by adapting the statistics behind it. We applied COMODO to study expression conservation/divergence between Escherichia coli, Salmonella enterica, and Bacillus subtilis. We observed that some parts of the regulatory interaction networks were conserved between E. coli and S. enterica especially in the regulon of local regulators. However, such conservation was not observed between the regulatory interaction networks of B. subtilis and the two other species. We found co-expression conservation on a number of genes involved in quorum sensing, but almost no conservation for genes involved in pathogenicity across E. coli and S. enterica which could partially explain their different lifestyles. We concluded that despite their different lifestyles, no significant rewiring have occurred at the level of local regulons involved for instance, and notable conservation can be detected in signaling pathways and stress sensing in the phylogenetically close species S. enterica and E. coli. Moreover, conservation of local regulons seems to depend on the evolutionary time of divergence across species disappearing at larger distances as shown by the comparison with B. subtilis. Global regulons follow a different trend and show major rewiring even at the limited evolutionary distance that separates E. coli and S. enterica.
机译:全基因组基因表达数据集的可用性提供了在众多实验条件下研究不同生物之间基因表达的机会。在我们之前的工作中,我们开发了一种称为COMODO(跨生物体的保守模块)的算法,该算法可识别两个物种之间的保守表达模块。在本研究中,我们将COMODO扩展为通过适应其背后的统计数据来检测三种生物之间的共表达保守性。我们应用COMODO来研究大肠杆菌,肠炎沙门氏菌和枯草芽孢杆菌之间的表达保守性/差异性。我们观察到,大肠杆菌和小肠链球菌之间的调控相互作用网络的某些部分是保守的,特别是在本地调控因子的调节区中。但是,在枯草芽孢杆菌和其他两个物种的调节相互作用网络之间未观察到这种保守性。我们发现在群体感应中涉及的许多基因上都有共表达保守性,但是在大肠杆菌和小肠结肠炎中的致病性相关基因几乎没有保守性,这可以部分解释它们的不同生活方式。我们得出的结论是,尽管生活方式不同,但例如在涉及的本地调节子水平上并没有发生明显的重布线,并且在亲缘关系较近的物种小肠结肠炎链球菌和大肠杆菌中,可以在信号传导途径和胁迫感测中检测到显着的保守性。而且,与枯草芽孢杆菌的比较显示,本地区域群的保护似乎取决于在更大距离上消失的物种间发散的进化时间。全球性调节子遵循不同的趋势,即使在分隔大肠杆菌和肠炎链球菌的有限进化距离上也显示出重大的重新布线。

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