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The constitutive differential transcriptome of a brain circuit for vocal learning
BACKGROUND: The ability to imitate the vocalizations of other organisms, a trait known as vocal learning, is shared by only a few organisms, including humans, where it subserves the acquisition of speech and language, and 3 groups of birds. In songbirds, vocal learning requires the coordinated activ...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5883274/ https://www.ncbi.nlm.nih.gov/pubmed/29614959 http://dx.doi.org/10.1186/s12864-018-4578-0 |
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author | Lovell, Peter V. Huizinga, Nicole A. Friedrich, Samantha R. Wirthlin, Morgan Mello, Claudio V. |
author_facet | Lovell, Peter V. Huizinga, Nicole A. Friedrich, Samantha R. Wirthlin, Morgan Mello, Claudio V. |
author_sort | Lovell, Peter V. |
collection | PubMed |
description | BACKGROUND: The ability to imitate the vocalizations of other organisms, a trait known as vocal learning, is shared by only a few organisms, including humans, where it subserves the acquisition of speech and language, and 3 groups of birds. In songbirds, vocal learning requires the coordinated activity of a set of specialized brain nuclei referred to as the song control system. Recent efforts have revealed some of the genes that are expressed in these vocal nuclei, however a thorough characterization of the transcriptional specializations of this system is still missing. We conducted a rigorous and comprehensive analysis of microarrays, and conducted a separate analysis of 380 genes by in situ hybridizations in order to identify molecular specializations of the major nuclei of the song system of zebra finches (Taeniopygia guttata), a songbird species. RESULTS: Our efforts identified more than 3300 genes that are differentially regulated in one or more vocal nuclei of adult male birds compared to the adjacent brain regions. Bioinformatics analyses provided insights into the possible involvement of these genes in molecular pathways such as cellular morphogenesis, intrinsic cellular excitability, neurotransmission and neuromodulation, axonal guidance and cela-to-cell interactions, and cell survival, which are known to strongly influence the functional properties of the song system. Moreover, an in-depth analysis of specific gene families with known involvement in regulating the development and physiological properties of neuronal circuits provides further insights into possible modulators of the song system. CONCLUSION: Our study represents one of the most comprehensive molecular characterizations of a brain circuit that evolved to facilitate a learned behavior in a vertebrate. The data provide novel insights into possible molecular determinants of the functional properties of the song control circuitry. It also provides lists of compelling targets for pharmacological and genetic manipulations to elucidate the molecular regulation of song behavior and vocal learning. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-018-4578-0) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5883274 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-58832742018-04-10 The constitutive differential transcriptome of a brain circuit for vocal learning Lovell, Peter V. Huizinga, Nicole A. Friedrich, Samantha R. Wirthlin, Morgan Mello, Claudio V. BMC Genomics Research Article BACKGROUND: The ability to imitate the vocalizations of other organisms, a trait known as vocal learning, is shared by only a few organisms, including humans, where it subserves the acquisition of speech and language, and 3 groups of birds. In songbirds, vocal learning requires the coordinated activity of a set of specialized brain nuclei referred to as the song control system. Recent efforts have revealed some of the genes that are expressed in these vocal nuclei, however a thorough characterization of the transcriptional specializations of this system is still missing. We conducted a rigorous and comprehensive analysis of microarrays, and conducted a separate analysis of 380 genes by in situ hybridizations in order to identify molecular specializations of the major nuclei of the song system of zebra finches (Taeniopygia guttata), a songbird species. RESULTS: Our efforts identified more than 3300 genes that are differentially regulated in one or more vocal nuclei of adult male birds compared to the adjacent brain regions. Bioinformatics analyses provided insights into the possible involvement of these genes in molecular pathways such as cellular morphogenesis, intrinsic cellular excitability, neurotransmission and neuromodulation, axonal guidance and cela-to-cell interactions, and cell survival, which are known to strongly influence the functional properties of the song system. Moreover, an in-depth analysis of specific gene families with known involvement in regulating the development and physiological properties of neuronal circuits provides further insights into possible modulators of the song system. CONCLUSION: Our study represents one of the most comprehensive molecular characterizations of a brain circuit that evolved to facilitate a learned behavior in a vertebrate. The data provide novel insights into possible molecular determinants of the functional properties of the song control circuitry. It also provides lists of compelling targets for pharmacological and genetic manipulations to elucidate the molecular regulation of song behavior and vocal learning. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-018-4578-0) contains supplementary material, which is available to authorized users. BioMed Central 2018-04-03 /pmc/articles/PMC5883274/ /pubmed/29614959 http://dx.doi.org/10.1186/s12864-018-4578-0 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Lovell, Peter V. Huizinga, Nicole A. Friedrich, Samantha R. Wirthlin, Morgan Mello, Claudio V. The constitutive differential transcriptome of a brain circuit for vocal learning |
title | The constitutive differential transcriptome of a brain circuit for vocal learning |
title_full | The constitutive differential transcriptome of a brain circuit for vocal learning |
title_fullStr | The constitutive differential transcriptome of a brain circuit for vocal learning |
title_full_unstemmed | The constitutive differential transcriptome of a brain circuit for vocal learning |
title_short | The constitutive differential transcriptome of a brain circuit for vocal learning |
title_sort | constitutive differential transcriptome of a brain circuit for vocal learning |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5883274/ https://www.ncbi.nlm.nih.gov/pubmed/29614959 http://dx.doi.org/10.1186/s12864-018-4578-0 |
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