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The Songbird Neurogenomics (SoNG) Initiative: Community-based tools and strategies for study of brain gene function and evolution
BACKGROUND: Songbirds hold great promise for biomedical, environmental and evolutionary research. A complete draft sequence of the zebra finch genome is imminent, yet a need remains for application of genomic resources within a research community traditionally focused on ethology and neurobiological...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2008
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2329646/ https://www.ncbi.nlm.nih.gov/pubmed/18366674 http://dx.doi.org/10.1186/1471-2164-9-131 |
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author | Replogle, Kirstin Arnold, Arthur P Ball, Gregory F Band, Mark Bensch, Staffan Brenowitz, Eliot A Dong, Shu Drnevich, Jenny Ferris, Margaret George, Julia M Gong, George Hasselquist, Dennis Hernandez, Alvaro G Kim, Ryan Lewin, Harris A Liu, Lei Lovell, Peter V Mello, Claudio V Naurin, Sara Rodriguez-Zas, Sandra Thimmapuram, Jyothi Wade, Juli Clayton, David F |
author_facet | Replogle, Kirstin Arnold, Arthur P Ball, Gregory F Band, Mark Bensch, Staffan Brenowitz, Eliot A Dong, Shu Drnevich, Jenny Ferris, Margaret George, Julia M Gong, George Hasselquist, Dennis Hernandez, Alvaro G Kim, Ryan Lewin, Harris A Liu, Lei Lovell, Peter V Mello, Claudio V Naurin, Sara Rodriguez-Zas, Sandra Thimmapuram, Jyothi Wade, Juli Clayton, David F |
author_sort | Replogle, Kirstin |
collection | PubMed |
description | BACKGROUND: Songbirds hold great promise for biomedical, environmental and evolutionary research. A complete draft sequence of the zebra finch genome is imminent, yet a need remains for application of genomic resources within a research community traditionally focused on ethology and neurobiological methods. In response, we developed a core set of genomic tools and a novel collaborative strategy to probe gene expression in diverse songbird species and natural contexts. RESULTS: We end-sequenced cDNAs from zebra finch brain and incorporated additional sequences from community sources into a database of 86,784 high quality reads. These assembled into 31,658 non-redundant contigs and singletons, which we annotated via BLAST search of chicken and human databases. The results are publicly available in the ESTIMA:Songbird database. We produced a spotted cDNA microarray with 20,160 addresses representing 17,214 non-redundant products of an estimated 11,500–15,000 genes, validating it by analysis of immediate-early gene (zenk) gene activation following song exposure and by demonstrating effective cross hybridization to genomic DNAs of other songbird species in the Passerida Parvorder. Our assembly was also used in the design of the "Lund-zfa" Affymetrix array representing ~22,000 non-redundant sequences. When the two arrays were hybridized to cDNAs from the same set of male and female zebra finch brain samples, both arrays detected a common set of regulated transcripts with a Pearson correlation coefficient of 0.895. To stimulate use of these resources by the songbird research community and to maintain consistent technical standards, we devised a "Community Collaboration" mechanism whereby individual birdsong researchers develop experiments and provide tissues, but a single individual in the community is responsible for all RNA extractions, labelling and microarray hybridizations. CONCLUSION: Immediately, these results set the foundation for a coordinated set of 25 planned experiments by 16 research groups probing fundamental links between genome, brain, evolution and behavior in songbirds. Energetic application of genomic resources to research using songbirds should help illuminate how complex neural and behavioral traits emerge and evolve. |
format | Text |
id | pubmed-2329646 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-23296462008-04-23 The Songbird Neurogenomics (SoNG) Initiative: Community-based tools and strategies for study of brain gene function and evolution Replogle, Kirstin Arnold, Arthur P Ball, Gregory F Band, Mark Bensch, Staffan Brenowitz, Eliot A Dong, Shu Drnevich, Jenny Ferris, Margaret George, Julia M Gong, George Hasselquist, Dennis Hernandez, Alvaro G Kim, Ryan Lewin, Harris A Liu, Lei Lovell, Peter V Mello, Claudio V Naurin, Sara Rodriguez-Zas, Sandra Thimmapuram, Jyothi Wade, Juli Clayton, David F BMC Genomics Research Article BACKGROUND: Songbirds hold great promise for biomedical, environmental and evolutionary research. A complete draft sequence of the zebra finch genome is imminent, yet a need remains for application of genomic resources within a research community traditionally focused on ethology and neurobiological methods. In response, we developed a core set of genomic tools and a novel collaborative strategy to probe gene expression in diverse songbird species and natural contexts. RESULTS: We end-sequenced cDNAs from zebra finch brain and incorporated additional sequences from community sources into a database of 86,784 high quality reads. These assembled into 31,658 non-redundant contigs and singletons, which we annotated via BLAST search of chicken and human databases. The results are publicly available in the ESTIMA:Songbird database. We produced a spotted cDNA microarray with 20,160 addresses representing 17,214 non-redundant products of an estimated 11,500–15,000 genes, validating it by analysis of immediate-early gene (zenk) gene activation following song exposure and by demonstrating effective cross hybridization to genomic DNAs of other songbird species in the Passerida Parvorder. Our assembly was also used in the design of the "Lund-zfa" Affymetrix array representing ~22,000 non-redundant sequences. When the two arrays were hybridized to cDNAs from the same set of male and female zebra finch brain samples, both arrays detected a common set of regulated transcripts with a Pearson correlation coefficient of 0.895. To stimulate use of these resources by the songbird research community and to maintain consistent technical standards, we devised a "Community Collaboration" mechanism whereby individual birdsong researchers develop experiments and provide tissues, but a single individual in the community is responsible for all RNA extractions, labelling and microarray hybridizations. CONCLUSION: Immediately, these results set the foundation for a coordinated set of 25 planned experiments by 16 research groups probing fundamental links between genome, brain, evolution and behavior in songbirds. Energetic application of genomic resources to research using songbirds should help illuminate how complex neural and behavioral traits emerge and evolve. BioMed Central 2008-03-18 /pmc/articles/PMC2329646/ /pubmed/18366674 http://dx.doi.org/10.1186/1471-2164-9-131 Text en Copyright © 2008 Replogle et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Replogle, Kirstin Arnold, Arthur P Ball, Gregory F Band, Mark Bensch, Staffan Brenowitz, Eliot A Dong, Shu Drnevich, Jenny Ferris, Margaret George, Julia M Gong, George Hasselquist, Dennis Hernandez, Alvaro G Kim, Ryan Lewin, Harris A Liu, Lei Lovell, Peter V Mello, Claudio V Naurin, Sara Rodriguez-Zas, Sandra Thimmapuram, Jyothi Wade, Juli Clayton, David F The Songbird Neurogenomics (SoNG) Initiative: Community-based tools and strategies for study of brain gene function and evolution |
title | The Songbird Neurogenomics (SoNG) Initiative: Community-based tools and strategies for study of brain gene function and evolution |
title_full | The Songbird Neurogenomics (SoNG) Initiative: Community-based tools and strategies for study of brain gene function and evolution |
title_fullStr | The Songbird Neurogenomics (SoNG) Initiative: Community-based tools and strategies for study of brain gene function and evolution |
title_full_unstemmed | The Songbird Neurogenomics (SoNG) Initiative: Community-based tools and strategies for study of brain gene function and evolution |
title_short | The Songbird Neurogenomics (SoNG) Initiative: Community-based tools and strategies for study of brain gene function and evolution |
title_sort | songbird neurogenomics (song) initiative: community-based tools and strategies for study of brain gene function and evolution |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2329646/ https://www.ncbi.nlm.nih.gov/pubmed/18366674 http://dx.doi.org/10.1186/1471-2164-9-131 |
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