Department of Physics, Washington University in St. Louis, St. Louis, MO 63130;
Center for Science and Engineering of Living Systems, Washington University in St. Louis, St. Louis, MO 63130.
Proc Natl Acad Sci U S A. 2020 Apr 21;117(16):8934-8940. doi: 10.1073/pnas.1915537117. Epub 2020 Apr 3.
Performance tradeoffs are ubiquitous in both ecological and evolutionary modeling, yet they are usually postulated and built into fitness and ecological landscapes. However, tradeoffs depend on genetic background and evolutionary history and can themselves evolve. We present a simple model capable of capturing the key feedback loop: evolutionary history shapes tradeoff strength, which, in turn, shapes evolutionary future. One consequence of this feedback is that genomes with identical fitness can have different evolutionary properties shaped by prior environmental exposure. Another is that, generically, the best adaptations to one environment may evolve in another. Our simple framework bridges the gap between the phenotypic Fisher's Geometric Model and the genotypic properties, such as modularity and evolvability, and can serve as a rich playground for investigating evolution in multiple or changing environments.
在生态和进化建模中,性能权衡无处不在,但它们通常是假设的,并构建到适应性和生态景观中。然而,权衡取决于遗传背景和进化历史,并且可以自身进化。我们提出了一个简单的模型,能够捕捉到关键的反馈循环:进化历史塑造了权衡的强度,而权衡的强度又反过来塑造了进化的未来。这种反馈的一个结果是,具有相同适应性的基因组可能具有不同的进化特性,这是由先前的环境暴露所决定的。另一个结果是,一般来说,对一种环境的最佳适应可能会在另一种环境中进化。我们的简单框架弥合了表型 Fisher 几何模型与基因型特性(如模块性和可进化性)之间的差距,并且可以作为一个丰富的游乐场,用于研究在多个或变化的环境中的进化。