Solé Ricard
ICREA-Complex Systems Lab, Universitat Pompeu Fabra, Dr Aiguader 88, 08003 Barcelona, Spain Institut de Biologia Evolutiva, CSIC-UPF, Pg Maritim de la Barceloneta 37, 08003 Barcelona, Spain Santa Fe Institute, 1399 Hyde Park Road, Santa Fe, NM 87501, USA
Philos Trans R Soc Lond B Biol Sci. 2016 Aug 19;371(1701). doi: 10.1098/rstb.2016.0175.
Evolution is marked by well-defined events involving profound innovations that are known as 'major evolutionary transitions'. They involve the integration of autonomous elements into a new, higher-level organization whereby the former isolated units interact in novel ways, losing their original autonomy. All major transitions, which include the origin of life, cells, multicellular systems, societies or language (among other examples), took place millions of years ago. Are these transitions unique, rare events? Have they instead universal traits that make them almost inevitable when the right pieces are in place? Are there general laws of evolutionary innovation? In order to approach this problem under a novel perspective, we argue that a parallel class of evolutionary transitions can be explored involving the use of artificial evolutionary experiments where alternative paths to innovation can be explored. These 'synthetic' transitions include, for example, the artificial evolution of multicellular systems or the emergence of language in evolved communicating robots. These alternative scenarios could help us to understand the underlying laws that predate the rise of major innovations and the possibility for general laws of evolved complexity. Several key examples and theoretical approaches are summarized and future challenges are outlined.This article is part of the themed issue 'The major synthetic evolutionary transitions'.
进化的标志是一系列明确的事件,这些事件涉及被称为“重大进化转变”的深刻创新。它们包括将自主元素整合到一个新的、更高层次的组织中,由此前孤立的单元以新的方式相互作用,失去其原有的自主性。所有重大转变,包括生命、细胞、多细胞系统、社会或语言(以及其他例子)的起源,都发生在数百万年前。这些转变是独特的、罕见的事件吗?还是它们具有普遍特征,使得在条件合适时几乎不可避免地会发生?是否存在进化创新的一般规律?为了从新的视角探讨这个问题,我们认为可以探索一类平行的进化转变,即利用人工进化实验来探索创新的替代路径。这些“合成”转变包括,例如,多细胞系统的人工进化或进化的通信机器人中语言的出现。这些替代情景可以帮助我们理解在重大创新出现之前的潜在规律以及进化复杂性一般规律的可能性。本文总结了几个关键例子和理论方法,并概述了未来的挑战。本文是主题为“重大合成进化转变”的特刊的一部分。