Jiang Pengyao, Kreitman Martin, Reinitz John
Department of Ecology & Evolution, University of Chicago, Chicago, Illinois, USA.
Department of Genome Sciences, University of Washington, Seattle, Washington, USA.
J Evol Biol. 2023 Jun;36(6):906-924. doi: 10.1111/jeb.14180. Epub 2023 May 31.
Canalization involves mutational robustness, the lack of phenotypic change as a result of genetic mutations. Given the large divergence in phenotype across species, understanding the relationship between high robustness and evolvability has been of interest to both theorists and experimentalists. Although canalization was originally proposed in the context of multicellular organisms, the effect of multicellularity and other classes of hierarchical organization on evolvability has not been considered by theoreticians. We address this issue using a Boolean population model with explicit representation of an environment in which individuals with explicit genotype and a hierarchical phenotype representing multicellularity evolve. Robustness is described by a single real number between zero and one which emerges from the genotype-phenotype map. We find that high robustness is favoured in constant environments, and lower robustness is favoured after environmental change. Multicellularity and hierarchical organization severely constrain robustness: peak evolvability occurs at an absolute level of robustness of about 0.99 compared with values of about 0.5 in a classical neutral network model. These constraints result in a sharp peak of evolvability in which the maximum is set by the fact that the fixation of adaptive mutations becomes more improbable as robustness decreases. When robustness is put under genetic control, robustness levels leading to maximum evolvability are selected for, but maximal relative fitness appears to require recombination.
渠化涉及突变稳健性,即由于基因突变而缺乏表型变化。鉴于物种间表型差异巨大,理解高稳健性与进化能力之间的关系一直是理论家和实验家关注的问题。尽管渠化最初是在多细胞生物的背景下提出的,但理论家尚未考虑多细胞性和其他层次组织类别对进化能力的影响。我们使用一个布尔种群模型来解决这个问题,该模型明确表示了一个环境,其中具有明确基因型和代表多细胞性的层次表型的个体在其中进化。稳健性由一个介于零和一之间的实数描述,它源自基因型-表型图谱。我们发现,在恒定环境中高稳健性受到青睐,而在环境变化后较低的稳健性受到青睐。多细胞性和层次组织严重限制了稳健性:与经典中性网络模型中约0.5的值相比,进化能力峰值出现在绝对稳健性约为0.99的水平。这些限制导致进化能力出现一个尖锐的峰值,其中最大值由以下事实设定:随着稳健性降低,适应性突变的固定变得更加不可能。当稳健性受到遗传控制时,会选择导致最大进化能力的稳健性水平,但最大相对适应性似乎需要重组。