Quantifying condition-dependent intracellular protein levels enables high-precision fitness estimates.
Quantifying condition-dependent intracellular protein levels enables high-precision fitness estimates.
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DOI：
10.1371/journal.pone.0075320
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发表时间：
2013
期刊：
影响因子：
3.7
通讯作者：
Drummond DA
中科院分区：
文献类型：
--
作者：
Geiler-Samerotte KA;Hashimoto T;Dion MF;Budnik BA;Airoldi EM;Drummond DA
无数研究将微生物种群的增长率作为健康指标进行监测。然而，实验室可测量的生长速率差异与自然选择可以有效区分的生长速率差异之间存在巨大差距。利用最近发现的芽殖酵母中的转录物和蛋白质水平密切跟踪生长速率的发现，我们探索了通过监测蛋白质组对生长的反应而不是生长本身来更敏感地推断生长速率的可能性。我们发现了一组蛋白质，其水平总体而言能够比直接测量更精确地预测生长率。然而，我们发现这些蛋白质与其他研究中密切跟踪生长速度的蛋白质之间几乎没有重叠。这些结果表明，在酵母中，决定细胞分裂速度的途径可能会根据改变生长的刺激而有所不同。尽管如此，通过适当的验证，蛋白质测量可以提供高精度的生长估计，从而使基于表型生长的测定扩展到更接近进化选择的极限。
Countless studies monitor the growth rate of microbial populations as a measure of fitness. However, an enormous gap separates growth-rate differences measurable in the laboratory from those that natural selection can distinguish efficiently. Taking advantage of the recent discovery that transcript and protein levels in budding yeast closely track growth rate, we explore the possibility that growth rate can be more sensitively inferred by monitoring the proteomic response to growth, rather than growth itself. We find a set of proteins whose levels, in aggregate, enable prediction of growth rate to a higher precision than direct measurements. However, we find little overlap between these proteins and those that closely track growth rate in other studies. These results suggest that, in yeast, the pathways that set the pace of cell division can differ depending on the growth-altering stimulus. Still, with proper validation, protein measurements can provide high-precision growth estimates that allow extension of phenotypic growth-based assays closer to the limits of evolutionary selection.
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