Heredia Jorge Pérez, Trubenová Barbora, Sudholt Dirk, Paixão Tiago
Department of Computer Science, University of Sheffield, S1 4DP, United Kingdom.
Institute of Science and Technology Austria, Klosterneuburg 3400, Austria.
Genetics. 2017 Feb;205(2):803-825. doi: 10.1534/genetics.116.189340. Epub 2016 Nov 23.
Adaptation depends critically on the effects of new mutations and their dependency on the genetic background in which they occur. These two factors can be summarized by the fitness landscape. However, it would require testing all mutations in all backgrounds, making the definition and analysis of fitness landscapes mostly inaccessible. Instead of postulating a particular fitness landscape, we address this problem by considering general classes of landscapes and calculating an upper limit for the time it takes for a population to reach a fitness peak, circumventing the need to have full knowledge about the fitness landscape. We analyze populations in the weak-mutation regime and characterize the conditions that enable them to quickly reach the fitness peak as a function of the number of sites under selection. We show that for additive landscapes there is a critical selection strength enabling populations to reach high-fitness genotypes, regardless of the distribution of effects. This threshold scales with the number of sites under selection, effectively setting a limit to adaptation, and results from the inevitable increase in deleterious mutational pressure as the population adapts in a space of discrete genotypes. Furthermore, we show that for the class of all unimodal landscapes this condition is sufficient but not necessary for rapid adaptation, as in some highly epistatic landscapes the critical strength does not depend on the number of sites under selection; effectively removing this barrier to adaptation.
适应性严重依赖于新突变的效应及其对发生突变的遗传背景的依赖性。这两个因素可以通过适应度景观来概括。然而,这需要测试所有背景下的所有突变,使得适应度景观的定义和分析几乎无法实现。我们不是假设特定的适应度景观,而是通过考虑一般类别的景观并计算种群达到适应度峰值所需时间的上限来解决这个问题,从而避免了对适应度景观有全面了解的需求。我们分析了弱突变状态下的种群,并将使它们能够快速达到适应度峰值的条件表征为选择位点数量的函数。我们表明,对于加性景观,存在一个临界选择强度,使种群能够达到高适应度基因型,而与效应分布无关。这个阈值随选择位点的数量而变化,有效地为适应性设定了一个限制,并且是由于种群在离散基因型空间中适应时有害突变压力不可避免地增加所致。此外,我们表明,对于所有单峰景观类别,这个条件对于快速适应是充分但非必要的,因为在一些高度上位性的景观中,临界强度不依赖于选择位点的数量;有效地消除了适应性的这一障碍。