Divergence in neuronal signaling pathways despite conserved neuronal identity among Caenorhabditis species.

IF 8.1 1区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
Itai Antoine Toker, Lidia Ripoll-Sánchez, Luke T Geiger, Antoine Sussfeld, Karan S Saini, Isabel Beets, Petra E Vértes, William R Schafer, Eyal Ben-David, Oliver Hobert
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引用次数: 0

Abstract

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 Caenorhabditis 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. Although identities of neurotransmitter-producing neurons (glutamate, acetylcholine, γ-aminobutyric acid [GABA], and several monoamines) remain stable, expression of ionotropic and metabotropic receptors for all these neurotransmitter systems shows 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.

尽管在隐杆线虫物种中保守的神经元身份,神经元信号通路的分化。
更好地理解大脑进化的一个途径是绘制远亲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。通过生成三种线虫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的显著稳定性。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,我们发现了神经元信号通路的广泛分歧。尽管产生神经递质的神经元(谷氨酸、乙酰胆碱、γ-氨基丁酸[GABA]和几种单胺)的特性保持稳定,但所有这些神经递质系统的嗜离子性和代谢性受体的表达表现出实质性的差异,导致超过一半的神经元类别改变了它们接受特定神经递质的能力。神经肽能信号在神经肽表达和受体表达水平上也存在显著差异,但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没有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的表达谱的相似模式,这提示了新的神经元信号通路。总之,通过在单个神经元类别的分辨率下研究整个神经系统的进化,我们揭示了可能反映神经回路中控制进化新颖性的基本原则的模式。
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来源期刊
Current Biology
Current Biology 生物-生化与分子生物学
CiteScore
11.80
自引率
2.20%
发文量
869
审稿时长
46 days
期刊介绍: Current Biology is a comprehensive journal that showcases original research in various disciplines of biology. It provides a platform for scientists to disseminate their groundbreaking findings and promotes interdisciplinary communication. The journal publishes articles of general interest, encompassing diverse fields of biology. Moreover, it offers accessible editorial pieces that are specifically designed to enlighten non-specialist readers.
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