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Evolution of neuronal types and families

Major questions in the evolution of neurons and nervous systems remain unsolved, such as the origin of the first neuron, the possible convergent evolution of neuronal phenotypes, and the transition from a relatively simple decentralized nerve net to the complex, centralized nervous systems found in...

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Detalles Bibliográficos
Autores principales: Arendt, Detlev, Bertucci, Paola Yanina, Achim, Kaia, Musser, Jacob M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Current Biology 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6556553/
https://www.ncbi.nlm.nih.gov/pubmed/30826503
http://dx.doi.org/10.1016/j.conb.2019.01.022
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author Arendt, Detlev
Bertucci, Paola Yanina
Achim, Kaia
Musser, Jacob M
author_facet Arendt, Detlev
Bertucci, Paola Yanina
Achim, Kaia
Musser, Jacob M
author_sort Arendt, Detlev
collection PubMed
description Major questions in the evolution of neurons and nervous systems remain unsolved, such as the origin of the first neuron, the possible convergent evolution of neuronal phenotypes, and the transition from a relatively simple decentralized nerve net to the complex, centralized nervous systems found in modern bilaterian animals. In recent years, comparative single-cell transcriptomics has opened up new research avenues addressing these issues. Here, we review recent conceptual progress toward an evolutionary definition of cell types, and how it facilitates the identification and large-scale comparison of neuronal types and neuron type families from single-cell data — with the family of GABAergic neurons in distinct parts of the vertebrate forebrain as prime example. We also highlight strategies to infer cell type-specific innovation, so-called apomeres, from single-cell data.
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spelling pubmed-65565532019-06-13 Evolution of neuronal types and families Arendt, Detlev Bertucci, Paola Yanina Achim, Kaia Musser, Jacob M Curr Opin Neurobiol Article Major questions in the evolution of neurons and nervous systems remain unsolved, such as the origin of the first neuron, the possible convergent evolution of neuronal phenotypes, and the transition from a relatively simple decentralized nerve net to the complex, centralized nervous systems found in modern bilaterian animals. In recent years, comparative single-cell transcriptomics has opened up new research avenues addressing these issues. Here, we review recent conceptual progress toward an evolutionary definition of cell types, and how it facilitates the identification and large-scale comparison of neuronal types and neuron type families from single-cell data — with the family of GABAergic neurons in distinct parts of the vertebrate forebrain as prime example. We also highlight strategies to infer cell type-specific innovation, so-called apomeres, from single-cell data. Current Biology 2019-06 /pmc/articles/PMC6556553/ /pubmed/30826503 http://dx.doi.org/10.1016/j.conb.2019.01.022 Text en © 2019 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Arendt, Detlev
Bertucci, Paola Yanina
Achim, Kaia
Musser, Jacob M
Evolution of neuronal types and families
title Evolution of neuronal types and families
title_full Evolution of neuronal types and families
title_fullStr Evolution of neuronal types and families
title_full_unstemmed Evolution of neuronal types and families
title_short Evolution of neuronal types and families
title_sort evolution of neuronal types and families
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6556553/
https://www.ncbi.nlm.nih.gov/pubmed/30826503
http://dx.doi.org/10.1016/j.conb.2019.01.022
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