Département d'informatique, Université du Québec à Montréal, Montréal, Québec, Canada.
Département de sciences biologiques, Université de Montréal, Montréal, Québec, Canada.
Genome Biol Evol. 2019 Sep 1;11(9):2653-2665. doi: 10.1093/gbe/evz182.
Explaining the evolution of animals requires ecological, developmental, paleontological, and phylogenetic considerations because organismal traits are affected by complex evolutionary processes. Modeling a plurality of processes, operating at distinct time-scales on potentially interdependent traits, can benefit from approaches that are complementary treatments to phylogenetics. Here, we developed an inclusive network approach, implemented in the command line software ComponentGrapher, and analyzed trait co-occurrence of rhinocerotoid mammals. We identified stable, unstable, and pivotal traits, as well as traits contributing to complexes, that may follow to a common developmental regulation, that point to an early implementation of the postcranial Bauplan among rhinocerotoids. Strikingly, most identified traits are highly dissociable, used repeatedly in distinct combinations and in different taxa, which usually do not form clades. Therefore, the genes encoding these traits are likely recruited into novel gene regulation networks during the course of evolution. Our evo-systemic framework, generalizable to other evolved organizations, supports a pluralistic modeling of organismal evolution, including trees and networks.
解释动物的进化需要考虑生态、发育、古生物学和系统发育学,因为生物体的特征受到复杂进化过程的影响。对在不同时间尺度上运行、可能相互依赖的特征进行多种过程建模,可以从对系统发育学具有补充作用的方法中受益。在这里,我们开发了一种包容性的网络方法,在命令行软件 ComponentGrapher 中实现,并分析了犀形类哺乳动物的特征共现。我们确定了稳定的、不稳定的和关键的特征,以及可能遵循共同发育调节的特征复合体,这表明在犀形类中后肢骨骼形态发生计划的早期实施。引人注目的是,大多数确定的特征高度可分离,在不同的组合和不同的类群中被重复使用,这些类群通常不形成进化枝。因此,这些特征的编码基因很可能在进化过程中被招募到新的基因调控网络中。我们的进化系统框架可推广到其他进化组织,支持对生物体进化进行多元建模,包括树和网络。