Demetrius L
Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA.
Proc Natl Acad Sci U S A. 1997 Apr 15;94(8):3491-8. doi: 10.1073/pnas.94.8.3491.
Directionality in populations of replicating organisms can be parametrized in terms of a statistical concept: evolutionary entropy. This parameter, a measure of the variability in the age of reproducing individuals in a population, is isometric with the macroscopic variable body size. Evolutionary trends in entropy due to mutation and natural selection fall into patterns modulated by ecological and demographic constraints, which are delineated as follows: (i) density-dependent conditions (a unidirectional increase in evolutionary entropy), and (ii) density-independent conditions, (a) slow exponential growth (an increase in entropy); (b) rapid exponential growth, low degree of iteroparity (a decrease in entropy); and (c) rapid exponential growth, high degree of iteroparity (random, nondirectional change in entropy). Directionality in aggregates of inanimate matter can be parametrized in terms of the statistical concept, thermodynamic entropy, a measure of disorder. Directional trends in entropy in aggregates of matter fall into patterns determined by the nature of the adiabatic constraints, which are characterized as follows: (i) irreversible processes (an increase in thermodynamic entropy) and (ii) reversible processes (a constant value for entropy). This article analyzes the relation between the concepts that underlie the directionality principles in evolutionary biology and physical systems. For models of cellular populations, an analytic relation is derived between generation time, the average length of the cell cycle, and temperature. This correspondence between generation time, an evolutionary parameter, and temperature, a thermodynamic variable, is exploited to show that the increase in evolutionary entropy that characterizes population processes under density-dependent conditions represents a nonequilibrium analogue of the second law of thermodynamics.
进化熵。这个参数是衡量种群中繁殖个体年龄变异性的指标,与宏观变量体型呈等距关系。由于突变和自然选择导致的熵的进化趋势呈现出受生态和人口统计学约束调节的模式,具体如下:(i)密度依赖条件(进化熵单向增加),以及(ii)密度独立条件,(a)缓慢指数增长(熵增加);(b)快速指数增长,低繁殖率(熵减少);以及(c)快速指数增长,高繁殖率(熵随机、无定向变化)。无生命物质聚集体中的方向性可以用统计概念热力学熵来参数化,热力学熵是无序程度的一种度量。物质聚集体中熵的定向趋势呈现出由绝热约束性质决定的模式,其特征如下:(i)不可逆过程(热力学熵增加)和(ii)可逆过程(熵为恒定值)。本文分析了进化生物学和物理系统中方向性原理背后概念之间的关系。对于细胞群体模型,推导出生殖时间、细胞周期平均长度和温度之间的解析关系。利用生殖时间(一个进化参数)和温度(一个热力学变量)之间的这种对应关系,表明在密度依赖条件下表征种群过程的进化熵增加代表了热力学第二定律的非平衡类似物。