Cycling Transcriptional Networks Optimize Energy Utilization on a Genome Scale.
Cycling Transcriptional Networks Optimize Energy Utilization on a Genome Scale.
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DOI：
10.1016/j.celrep.2015.10.043
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发表时间：
2015-12-01
期刊：
影响因子：
8.8
通讯作者：
Konopka G
中科院分区：
文献类型：
--
作者：
Wang GZ;Hickey SL;Shi L;Huang HC;Nakashe P;Koike N;Tu BP;Takahashi JS;Konopka G
表达昼夜节律RNA的基因在代谢途径中富集，然而，周期性基因表达的适应性意义仍不清楚。我们估算了三种生物中转录和翻译在全基因组范围内的合成与降解成本，发现与非周期性基因相比，周期性基因的成本显著更高。周期性基因高水平表达，并且是基因组中合成成本最高的蛋白质。我们证明，在较高营养通量下生长的酵母中，代谢循环加速，周期性基因的数量增加约40%——这是通过增加基因表达的幅度而非平均水平实现的。这些结果表明，节律性基因表达优化了全局基因表达的代谢成本，并且高表达基因已被选择以周期性方式下调以节约能量。
Genes expressing circadian RNA rhythms are enriched for metabolic pathways, however, the adaptive significance of cyclic gene expression remains unclear. We estimated the genome-wide synthetic and degradative cost of transcription and translation in three organisms and found that the cost of cycling genes is strikingly higher compared to non-cycling genes. Cycling genes are expressed at high levels and constitute the most costly proteins to synthesize in the genome. We demonstrate that metabolic cycling is accelerated in yeast grown under higher nutrient flux and the number of cycling genes increases ~40% - achieved by increasing the amplitude and not the mean level of gene expression. These results suggest that rhythmic gene expression optimizes the metabolic cost of global gene expression and that highly expressed genes have been selected to be down-regulated in a cyclic manner for energy conservation.
影响因子：
3.7
作者：
Palinkas A;Bulik S;Bockmayr A;Holzhütter HG
通讯作者：
Holzhütter HG