Grupo Interdisciplinar de Sistemas Complejos (GISC), Madrid, Spain.
Programa de Biología de Sistemas, Centro Nacional de Biotecnología (CSIC), Madrid, Spain.
Open Biol. 2018 Jul;8(7). doi: 10.1098/rsob.180069.
Evolutionary dynamics is often viewed as a subtle process of change accumulation that causes a divergence among organisms and their genomes. However, this interpretation is an inheritance of a gradualistic view that has been challenged at the macroevolutionary, ecological and molecular level. Actually, when the complex architecture of genotype spaces is taken into account, the evolutionary dynamics of molecular populations becomes intrinsically non-uniform, sharing deep qualitative and quantitative similarities with slowly driven physical systems: nonlinear responses analogous to critical transitions, sudden state changes or hysteresis, among others. Furthermore, the phenotypic plasticity inherent to genotypes transforms classical fitness landscapes into multiscapes where adaptation in response to an environmental change may be very fast. The quantitative nature of adaptive molecular processes is deeply dependent on a network-of-networks multilayered structure of the map from genotype to function that we begin to unveil.
进化动力学通常被视为一种微妙的变化积累过程,导致生物体及其基因组之间的分歧。然而,这种解释是对渐进主义观点的继承,这种观点在宏观进化、生态和分子水平上受到了挑战。实际上,当考虑到基因型空间的复杂结构时,分子群体的进化动态就会变得内在地不均匀,与缓慢驱动的物理系统具有深刻的定性和定量相似性:类似于临界转变、突然的状态变化或滞后等非线性响应。此外,基因型固有的表型可塑性将经典的适合度景观转化为多景观,在这种景观中,对环境变化的适应可能非常快。适应性分子过程的定量性质深深地依赖于从基因型到功能的映射的网络-网络多层次结构,我们开始揭示这个结构。