School of Animal Biology and the UWA Oceans Institute, University of Western Australia, 35 Stirling Highway, Crawley, WA 6009, Australia.
J Fish Biol. 2012 Apr;80(5):1968-2023. doi: 10.1111/j.1095-8649.2012.03254.x. Epub 2012 Mar 27.
It is a widely accepted view that neural development can reflect morphological adaptations and sensory specializations. The aim of this review is to give a broad overview of the current status of brain data available for cartilaginous fishes and examine how perspectives on allometric scaling of brain size across this group of fishes has changed within the last 50 years with the addition of new data and more rigorous statistical analyses. The current knowledge of neuroanatomy in cartilaginous fishes is reviewed and data on brain size (encephalization, n = 151) and interspecific variation in brain organization (n = 84) has been explored to ascertain scaling relationships across this clade. It is determined whether similar patterns of brain organization, termed cerebrotypes, exist in species that share certain lifestyle characteristics. Clear patterns of brain organization exist across cartilaginous fishes, irrespective of phylogenetic grouping and, although this study was not a functional analysis, it provides further evidence that chondrichthyan brain structures might have developed in conjunction with specific behaviours or enhanced cognitive capabilities. Larger brains, with well-developed telencephala and large, highly foliated cerebella are reported in species that occupy complex reef or oceanic habitats, potentially identifying a reef-associated cerebrotype. In contrast, benthic and benthopelagic demersal species comprise the group with the smallest brains, with a relatively reduced telencephalon and a smooth cerebellar corpus. There is also evidence herein of a bathyal cerebrotype; deep-sea benthopelagic sharks possess relatively small brains and show a clear relative hypertrophy of the medulla oblongata. Despite the patterns observed and documented, significant gaps in the literature have been highlighted. Brain mass data are only currently available on c. 16% of all chondrichthyan species, and only 8% of species have data available on their brain organization, with far less on subsections of major brain areas that receive distinct sensory input. The interspecific variability in brain organization further stresses the importance of performing functional studies on a greater range of species. Only an expansive data set, comprised of species that span a variety of habitats and taxonomic groups, with widely disparate behavioural repertoires, combined with further functional analyses, will help shed light on the extent to which chondrichthyan brains have evolved as a consequence of behaviour, habitat and lifestyle in addition to phylogeny.
普遍认为,神经发育可以反映形态适应和感官特化。本综述的目的是广泛概述软骨鱼类现有的大脑数据,并探讨在过去 50 年中,随着新数据和更严格的统计分析的加入,人们对软骨鱼类大脑大小的异速生长的看法发生了怎样的变化。综述了软骨鱼类的神经解剖学知识,并研究了大脑大小(脑化,n = 151)和大脑组织的种间变异(n = 84)的数据,以确定这个分支的缩放关系。确定在具有某些生活方式特征的物种中是否存在类似的大脑组织模式,称为脑型。软骨鱼类的大脑组织存在明显的模式,无论其系统发育分组如何,尽管本研究不是功能分析,但它进一步证明了软骨鱼类的脑结构可能是与特定行为或增强的认知能力一起发展的。在生活在复杂珊瑚礁或海洋栖息地的物种中,报告了具有较大的大脑,发达的端脑和大型、高度褶皱的小脑的脑型。相比之下,底栖和底栖中层的底栖物种组成了具有最小大脑的群体,其端脑相对较小,小脑体光滑。本文还提供了深海脑型的证据;深海底栖中层鲨鱼的大脑相对较小,延髓明显相对肥大。尽管观察到并记录了这些模式,但文献中仍存在显著的差距。目前仅在软骨鱼类的约 16%的物种中获得了脑质量数据,只有 8%的物种的大脑组织数据可用,而接收不同感觉输入的主要大脑区域的各个部分的数据则更少。大脑组织的种间变异性进一步强调了在更大范围的物种上进行功能研究的重要性。只有一个广泛的数据集合,由具有各种栖息地和分类群的物种组成,具有广泛不同的行为范围,结合进一步的功能分析,才能帮助我们了解软骨鱼类的大脑是如何在多大程度上由于行为、栖息地和生活方式而进化的,而不仅仅是由于系统发育。