Toker Itai Antoine, Ripoll-Sánchez Lidia, Geiger Luke T, Saini Karan S, Beets Isabel, Vértes Petra E, Schafer William R, Ben-David Eyal, Hobert Oliver
bioRxiv. 2024 Nov 25:2024.11.23.624988. doi: 10.1101/2024.11.23.624988.
One avenue to better understand brain evolution is to map molecular patterns of evolutionary changes in neuronal cell types across entire nervous systems of distantly related species. Generating whole-animal single-cell transcriptomes of three nematode species from the genus, we observed a remarkable stability of neuronal cell type identities over more than 45 million years of evolution. Conserved patterns of combinatorial expression of homeodomain transcription factors are among the best classifiers of homologous neuron classes. Unexpectedly, we discover an extensive divergence in neuronal signaling pathways. While identities of neurotransmitter-producing neurons (glutamate, acetylcholine, GABA and several monoamines) remain stable, ionotropic and metabotropic receptors for all these neurotransmitter systems show substantial divergence, resulting in more than half of all neuron classes changing their capacity to be receptive to specific neurotransmitters. Neuropeptidergic signaling is also remarkably divergent, both at the level of neuropeptide expression and receptor expression, yet the overall dense network topology of the wireless neuropeptidergic connectome remains stable. Novel neuronal signaling pathways are suggested by our discovery of small secreted proteins that show no obvious hallmarks of conventional neuropeptides, but show similar patterns of highly neuron-type-specific and highly evolvable expression profiles. In conclusion, by investigating the evolution of entire nervous systems at the resolution of single neuron classes, we uncover patterns that may reflect basic principles governing evolutionary novelty in neuronal circuits.
更好地理解大脑进化的一条途径是绘制远缘物种整个神经系统中神经元细胞类型进化变化的分子模式。通过生成该属三种线虫物种的全动物单细胞转录组,我们观察到在超过4500万年的进化过程中,神经元细胞类型身份具有显著的稳定性。同源结构域转录因子组合表达的保守模式是同源神经元类别的最佳分类器之一。出乎意料的是,我们发现神经元信号通路存在广泛的差异。虽然产生神经递质的神经元(谷氨酸、乙酰胆碱、GABA和几种单胺)的身份保持稳定,但所有这些神经递质系统的离子型和代谢型受体显示出显著差异,导致超过一半的神经元类别改变了它们对特定神经递质的接受能力。神经肽能信号传导在神经肽表达和受体表达水平上也有显著差异,然而无线神经肽能连接组的整体密集网络拓扑结构保持稳定。我们发现的小分泌蛋白提示了新的神经元信号通路,这些小分泌蛋白没有显示出传统神经肽的明显特征,但显示出高度神经元类型特异性和高度可进化表达谱的相似模式。总之,通过在单个神经元类别的分辨率上研究整个神经系统的进化,我们揭示了可能反映神经元回路进化新奇性基本原理的模式。