International Laboratory of Decision Choice and Analysis, National Research University Higher School of Economics (HSE), Moscow, Russian Federation.
V.A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences (ICS RAS), Moscow, Russian Federation.
PLoS One. 2018 Aug 8;13(8):e0201446. doi: 10.1371/journal.pone.0201446. eCollection 2018.
The emergence of functional specialization is a core problem in biology. In this work we focus on the emergence of reproductive (germ) and vegetative viability-enhancing (soma) cell functions (or germ-soma specialization). We consider a group of cells and assume that they contribute to two different evolutionary tasks, fecundity and viability. The potential of cells to contribute to fitness components is traded off. As embodied in current models, the curvature of the trade-off between fecundity and viability is concave in small-sized organisms and convex in large-sized multicellular organisms. We present a general mathematical model that explores how the division of labor in a cell colony depends on the trade-off curvatures, a resource constraint and different fecundity and viability rates. Moreover, we consider the case of different trade-off functions for different cells. We describe the set of all possible solutions of the formulated mathematical programming problem and show some interesting examples of optimal specialization strategies found for our objective fitness function. Our results suggest that the transition to specialized organisms can be achieved in several ways. The evolution of Volvocalean green algae is considered to illustrate the application of our model. The proposed model can be generalized to address a number of important biological issues, including the evolution of specialized enzymes and the emergence of complex organs.
功能特化的出现是生物学的核心问题之一。在这项工作中,我们专注于生殖(生殖细胞)和营养(体细胞)细胞功能的特化(生殖-体特化)的出现。我们考虑一组细胞,并假设它们有助于完成两个不同的进化任务,即繁殖力和生存力。细胞对适应性成分的贡献是相互权衡的。正如当前模型所体现的那样,在小体型生物中,繁殖力和生存力之间的权衡曲线是凹的,而在大型多细胞生物中则是凸的。我们提出了一个通用的数学模型,探讨了细胞群中的劳动分工如何取决于权衡曲线、资源限制以及不同的繁殖力和生存力率。此外,我们还考虑了不同细胞之间存在不同权衡函数的情况。我们描述了所提出的数学规划问题的所有可能解决方案集,并展示了针对我们的目标适应度函数找到的一些有趣的最优专业化策略示例。我们的结果表明,向专业化生物的转变可以通过多种方式实现。我们考虑以绿藻门中的衣藻目为例来说明我们模型的应用。该模型可以推广到解决许多重要的生物学问题,包括专门化酶的进化和复杂器官的出现。