Strausfeld Nicholas J, Hirth Frank
Department of Neuroscience, University of Arizona, Tucson, AZ 85721, USA
Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 8AF, UK
Philos Trans R Soc Lond B Biol Sci. 2015 Dec 19;370(1684). doi: 10.1098/rstb.2015.0033.
In 1665, Robert Hooke demonstrated in Micrographia the power of the microscope and comparative observations, one of which revealed similarities between the arthropod and vertebrate eyes. Utilizing comparative observations, Saint-Hilaire in 1822 was the first to propose that the ventral nervous system of arthropods corresponds to the dorsal nervous system of vertebrates. Since then, studies on the origin and evolution of the nervous system have become inseparable from studies about Metazoan origins and the origins of organ systems. The advent of genome sequence data and, in turn, phylogenomics and phylogenetics have refined cladistics and expanded our understanding of Metazoan phylogeny. However, the origin and evolution of the nervous system is still obscure and many questions and problems remain. A recurrent problem is whether and to what extent sequence data provide reliable guidance for comparisons across phyla. Are genetic data congruent with the geological fossil records? How can we reconcile evolved character loss with phylogenomic records? And how informative are genetic data in relation to the specification of nervous system morphologies? These provide some of the background and context for a Royal Society meeting to discuss new data and concepts that might achieve insights into the origin and evolution of brains and nervous systems.
1665年,罗伯特·胡克在《显微图谱》中展示了显微镜的威力以及比较观察的作用,其中一项观察揭示了节肢动物和脊椎动物眼睛之间的相似性。1822年,圣伊莱尔利用比较观察,首次提出节肢动物的腹侧神经系统与脊椎动物的背侧神经系统相对应。从那时起,关于神经系统起源和进化的研究就与后生动物起源及器官系统起源的研究紧密相连。基因组序列数据的出现,以及随之而来的系统发育基因组学和系统发育学,完善了分支分类学,并拓展了我们对后生动物系统发育的理解。然而,神经系统的起源和进化仍然模糊不清,许多问题依旧存在。一个反复出现的问题是,序列数据能否以及在多大程度上为跨门比较提供可靠的指导。遗传数据与地质化石记录是否一致?我们如何协调进化过程中的性状丧失与系统发育基因组记录?遗传数据对于神经系统形态的特化又有多大的信息量?这些为皇家学会的一次会议提供了部分背景和情境,该会议旨在讨论可能有助于深入了解大脑和神经系统起源与进化的新数据和概念。