Alcasabas Annette A, de Clare Michaela, Pir Pınar, Oliver Stephen G
Department of Biochemistry, University of Cambridge, Tennis Court Road, Cambridge CB2 1GA, UK.
BMC Genomics. 2013 Oct 31;14:744. doi: 10.1186/1471-2164-14-744.
In the model eukaryote, Saccharomyces cerevisiae, previous experiments have identified those genes that exert the most significant control over cell growth rate. These genes are termed HFC for high flux control. Such genes are overrepresented within pathways controlling the mitotic cell cycle.
We postulated that the increase/decrease in growth rate is due to a change in the rate of progression through specific cell cycle steps. We extended and further developed an existing logical model of the yeast cell cycle in order elucidate how the HFC genes modulated progress through the cycle. This model can simulate gene dosage-variation and calculate the cycle time, determine the order and relative speed at which events occur, and predict arrests and failures to correctly execute a step. To experimentally test our model's predictions, we constructed a tetraploid series of deletion mutants for a set of eight genes that control the G2/M transition. This system allowed us to vary gene copy number through more intermediate levels than previous studies and examine the impact of copy-number variation on growth, cell-cycle phenotype, and response to different cellular stresses.
For the majority of strains, the predictions agreed with experimental observations, validating our model and its use for further predictions. Where simulation and experiment diverged, we uncovered both novel tetraploid-specific phenotypes and a switch in the determinative execution point of a key cell-cycle regulator, the Cdc28 kinase, from the G1/S to the S/G2 boundaries.
在模式真核生物酿酒酵母中,先前的实验已鉴定出那些对细胞生长速率施加最显著控制的基因。这些基因被称为高通量控制(HFC)基因。此类基因在控制有丝分裂细胞周期的途径中过度富集。
我们推测生长速率的增加/降低是由于特定细胞周期步骤的进程速率发生了变化。我们扩展并进一步开发了现有的酵母细胞周期逻辑模型,以阐明HFC基因如何调节细胞周期进程。该模型可以模拟基因剂量变化并计算细胞周期时间,确定事件发生的顺序和相对速度,并预测停滞和执行步骤失败的情况。为了通过实验验证我们模型的预测,我们构建了一组控制G2/M转换的八个基因的四倍体缺失突变体系。该系统使我们能够比以往研究更在更多中间水平上改变基因拷贝数,并研究拷贝数变化对生长、细胞周期表型以及对不同细胞应激反应的影响。
对于大多数菌株而言,预测结果与实验观察结果相符,验证了我们的模型及其用于进一步预测的有效性。当模拟结果与实验结果出现分歧时,我们发现了新的四倍体特异性表型,以及关键细胞周期调节因子Cdc28激酶的决定性执行点从G1/S边界切换到了S/G2边界。