The Louis and Beatrice Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, New York 11794, USA; email:
Department of Physics and Astronomy, Stony Brook University, Stony Brook, New York 11794, USA.
Annu Rev Chem Biomol Eng. 2020 Jun 7;11:155-182. doi: 10.1146/annurev-chembioeng-011720-103410.
Cells adapt to changing environments. Perturb a cell and it returns to a point of homeostasis. Perturb a population and it evolves toward a fitness peak. We review quantitative models of the forces of adaptation and their visualizations on landscapes. While some adaptations result from single mutations or few-gene effects, others are more cooperative, more delocalized in the genome, and more universal and physical. For example, homeostasis and evolution depend on protein folding and aggregation, energy and protein production, protein diffusion, molecular motor speeds and efficiencies, and protein expression levels. Models provide a way to learn about the fitness of cells and cell populations by making and testing hypotheses.
细胞适应不断变化的环境。干扰一个细胞,它会回到一个稳态点。干扰一个群体,它会朝着适应度峰值进化。我们回顾了适应力的定量模型及其在景观上的可视化。虽然一些适应是由单个突变或少数基因效应引起的,但其他适应则更加合作,在基因组中分布更广,更普遍和更具有物理性。例如,稳态和进化取决于蛋白质折叠和聚集、能量和蛋白质产生、蛋白质扩散、分子马达速度和效率以及蛋白质表达水平。模型通过提出和测试假设,为了解细胞和细胞群体的适应度提供了一种方法。