Yeast growth is controlled by the proportional scaling of mRNA and ribosome concentrations.

ArXiv Pub Date : 2025-08-20
Xin Gao, Michael Lanz, Rosslyn Grosely, Jonas Cremer, Joseph Puglisi, Jan M Skotheim
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Abstract

Despite growth being fundamental to all aspects of cell biology, we do not yet know its organizing principles in eukaryotic cells. Classic models derived from the bacteria E. coli posit that protein-synthesis rates are set by mass-action collisions between charged tRNAs produced by metabolic enzymes and mRNA-bound ribosomes. These models show that faster growth is achieved by simultaneously raising both ribosome content and peptide elongation speed. Here, we test if these models are valid for eukaryotes by combining single-molecule tracking, spike-in RNA sequencing, and proteomics in 15 carbon- and nitrogen-limited conditions using the budding yeast S. cerevisiae. Ribosome concentration increases linearly with growth rate, as in bacteria, but the peptide elongation speed remains constant (~9 amino acids/s) and charged tRNAs are not limiting. Total mRNA concentration rises in direct proportion to ribosomes, driven by enhanced RNA polymerase II occupancy of the genome. We show that a simple kinetic model of mRNA-ribosome binding predicts both the fraction of active ribosomes, the growth rate, and responses to transcriptional perturbations. Yeast accelerate growth by coordinately and proportionally co-up-regulating total mRNA and ribosome concentrations, not by speeding elongation. Taken together, our work establishes a new framework for eukaryotic growth control and resource allocation.

酵母的生长受mRNA和核糖体浓度的比例比例控制。
尽管生长是细胞生物学各个方面的基础,但我们还不知道它在真核细胞中的组织原理。源自大肠杆菌的经典模型假设,蛋白质合成速率是由代谢酶产生的带电trna与mrna结合核糖体之间的质量作用碰撞决定的。这些模型表明,同时提高核糖体含量和肽延伸速度可以实现更快的生长。在这里,我们通过结合单分子跟踪,刺入RNA测序和蛋白质组学在15个碳和氮限制条件下使用出芽酵母酿酒酵母来测试这些模型是否对真核生物有效。与细菌一样,核糖体浓度随生长速率线性增加,但肽延伸速度保持恒定(约9个氨基酸/秒),带电荷的trna不受限制。总mRNA浓度与核糖体成正比上升,这是由基因组中RNA聚合酶II占用的增强所驱动的。我们展示了一个简单的mrna -核糖体结合动力学模型,可以预测活性核糖体的比例、生长速度和对转录扰动的反应。酵母通过协调和比例地共同上调总mRNA和核糖体浓度来加速生长,而不是通过加速伸长。总之,我们的工作建立了真核生物生长控制和资源分配的新框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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