Mathematics and Biosciences Group, Department of Mathematics, University of Vienna, 1090 Vienna, Austria.
Proc Natl Acad Sci U S A. 2012 Feb 7;109(6):E326-35. doi: 10.1073/pnas.1110521109. Epub 2012 Jan 24.
Division of labor among functionally specialized modules occurs at all levels of biological organization in both animals and plants. Well-known examples include the evolution of specialized enzymes after gene duplication, the evolution of specialized cell types, limb diversification in arthropods, and the evolution of specialized colony members in many taxa of marine invertebrates and social insects. Here, we identify conditions favoring the evolution of division of labor by means of a general mathematical model. Our starting point is the assumption that modules contribute to two different biological tasks and that the potential of modules to contribute to these tasks is traded off. Our results are phrased in terms of properties of performance functions that map the phenotype of modules to measures of performance. We show that division of labor is favored by three factors: positional effects that predispose modules for one of the tasks, accelerating performance functions, and synergistic interactions between modules. If modules can be lost or damaged, selection for robustness can counteract selection for functional specialization. To illustrate our theory we apply it to the evolution of specialized enzymes coded by duplicated genes.
分工在动物和植物的所有生物组织层次上都发生在功能专业化模块之间。众所周知的例子包括基因复制后专门酶的进化、专门细胞类型的进化、节肢动物的肢体多样化以及许多海洋无脊椎动物和社会昆虫类群中专门的群体成员的进化。在这里,我们通过一个通用的数学模型来确定有利于分工进化的条件。我们的出发点是假设模块有助于两项不同的生物任务,并且模块有助于这些任务的潜力是相互权衡的。我们的结果是用性能函数的属性来表示的,这些函数将模块的表型映射到性能度量上。我们表明,分工受到三个因素的青睐:使模块倾向于其中一项任务的位置效应、加速性能函数和模块之间的协同作用。如果模块可以丢失或损坏,那么对稳健性的选择可以抵消对功能专业化的选择。为了说明我们的理论,我们将其应用于由复制基因编码的专门酶的进化。