先探索，后定居：作为适应性驱动因素的可进化性的理论分析
First explore, then settle: a theoretical analysis of evolvability as a driver of adaptation
AI总结：
本文将可进化性视为受进化影响的表型特征，通过数学模拟分析无性个体种群的进化动态，发现高可进化性个体能快速探索表型景观以提升适应度，但选择强度和成本可能导致其灭绝，并探讨了其在癌症等环境中的影响。
摘要：
可进化性被定义为种群产生可遗传变异以促进其适应新环境或选择压力的能力。在本文中，我们将可进化性视为受进化影响的表型特征，并探讨其在无性个体种群适应性中的意义。我们通过对随机个体模型及其确定性连续体对应模型进行数学模拟，探索了增殖潜力与可进化性发生变化的个体活跃增殖种群的进化动态。我们发现了稳健的适应性轨迹，这些轨迹依赖于具有高可进化性的个体快速探索表型景观，并达到具有最高适应度的增殖潜力。对增殖潜力的选择强度以及与可进化性相关的成本可以改变这些轨迹，使得如果两者都具有足够的约束性，在我们的个体模型模拟中，高可进化性种群可能会灭绝。我们探讨了这种相互作用在不同尺度上的影响，讨论了其在未受干扰环境以及受干扰环境（如癌症）中的效应。
英文摘要：
Evolvability is defined as the ability of a population to generate heritable variation to facilitate its adaptation to new environments or selection pressures. In this article, we consider evolvability as a phenotypic trait subject to evolution and discuss its implications in the adaptation of populations of asexual individuals. We explore the evolutionary dynamics of an actively proliferating population of individuals, subject to changes in their proliferative potential and their evolvability, through mathematical simulations of a stochastic individual-based model and its deterministic continuum counterpart. We find robust adaptive trajectories that rely on individuals with high evolvability rapidly exploring the phenotypic landscape and reaching the proliferative potential with the highest fitness. The strength of selection on the proliferative potential, and the cost associated with evolvability, can alter these trajectories such that, if both are sufficiently constraining, highly evolvable populations can become extinct in our individual-based model simulations. We explore the impact of this interaction at various scales, discussing its effects in undisturbed environments and also in disrupted contexts, such as cancer.
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