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

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.

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Journal
Current Biology
Published
2025-05-23
DOI
https://doi.org/10.1016/j.cub.2025.05.036
Citations
12
Primary Topic
Genetics, Aging, and Longevity in Model Organisms
Type
article
Field-Weighted Citation Impact
11.44

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article

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

Lidia Ripoll-Sánchez, Petra E. Vértes, Eyal Ben‐David, Oliver Hobert et al.
12 citations
Current Biology
Genetics, Aging, and Longevity in Model Organisms
11.44
article

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

Lidia Ripoll-Sánchez, Petra E. Vértes, Eyal Ben‐David, Oliver Hobert, William R Schafer, Luke T Geiger, Isabel Beets, Itai Antoine Toker, K.S. Saini, Antoine Sussfeld
article en
12 citations

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.

Current BiologyVol. 35(12)
Howard Hughes Medical Institute (US), MRC Laboratory of Molecular Biology (GB), Hebrew University of Jerusalem (IL), University of Cambridge (GB), VIB-KU Leuven Center for Microbiology (BE), Columbia University (US), KU Leuven (BE)
Howard Hughes Medical Institute
Zero hunger
Openalex Percentile: Top 1%
Genetics, Aging, and Longevity in Model Organisms
11.44
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