Department of Physics, University of California at San Diego, La Jolla, CA, USA.
Department of Biology, Stanford University, Stanford, CA, USA.
Mol Syst Biol. 2021 Dec;17(12):e10597. doi: 10.15252/msb.202110597.
To respond to fluctuating conditions, microbes typically need to synthesize novel proteins. As this synthesis relies on sufficient biosynthetic precursors, microbes must devise effective response strategies to manage depleting precursors. To better understand these strategies, we investigate the active response of Escherichia coli to changes in nutrient conditions, connecting transient gene expression to growth phenotypes. By synthetically modifying gene expression during changing conditions, we show how the competition by genes for the limited protein synthesis capacity constrains cellular response. Despite this constraint cells substantially express genes that are not required, trapping them in states where precursor levels are low and the genes needed to replenish the precursors are outcompeted. Contrary to common modeling assumptions, our findings highlight that cells do not optimize growth under changing environments but rather exhibit hardwired response strategies that may have evolved to promote fitness in their native environment. The constraint and the suboptimality of the cellular response uncovered provide a conceptual framework relevant for many research applications, from the prediction of evolution to the improvement of gene circuits in biotechnology.
为了应对不断变化的环境条件,微生物通常需要合成新的蛋白质。由于这种合成依赖于足够的生物合成前体,微生物必须设计有效的响应策略来管理消耗的前体。为了更好地理解这些策略,我们研究了大肠杆菌对营养条件变化的主动响应,将瞬时基因表达与生长表型联系起来。通过在变化条件下合成修饰基因表达,我们展示了基因之间为有限的蛋白质合成能力竞争如何限制细胞响应。尽管存在这种限制,细胞仍然大量表达不需要的基因,使它们陷入前体水平低且需要补充前体的基因被竞争淘汰的状态。与常见的建模假设相反,我们的研究结果表明,细胞不会在变化的环境中优化生长,而是表现出固定的响应策略,这些策略可能是为了在其原生环境中促进适应性而进化的。所揭示的细胞响应的约束和次优性为许多研究应用提供了一个概念框架,从进化预测到生物技术中基因回路的改进。