Evolution of complexity in the zebrafish synapse proteome
The proteome of human brain synapses is highly complex and mutated in over 130 diseases. This complexity arose from two whole genome duplications early in the vertebrate lineage. Zebrafish are used in modelling human diseases, however its synapse proteome is uncharacterised and whether the teleost-s...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
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Nature Publishing Group
2017
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| Online Access: | https://eprints.nottingham.ac.uk/40100/ |
| _version_ | 1848795984971169792 |
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| author | Bayes, Alex Collins, Mark O. Reig-Vader, Rrita Gou, Gemma Goulding, David Izquierdo, Abril Choudhary, Jyoti S. Emes, Richard D. Grant, Seth G.N. |
| author_facet | Bayes, Alex Collins, Mark O. Reig-Vader, Rrita Gou, Gemma Goulding, David Izquierdo, Abril Choudhary, Jyoti S. Emes, Richard D. Grant, Seth G.N. |
| author_sort | Bayes, Alex |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | The proteome of human brain synapses is highly complex and mutated in over 130 diseases. This complexity arose from two whole genome duplications early in the vertebrate lineage. Zebrafish are used in modelling human diseases, however its synapse proteome is uncharacterised and whether the teleost-specific genome duplication (TSGD) influenced complexity is unknown. We report the characterisation of the proteomes and ultrastructure of central synapses in zebrafish and analyse the importance of the TSGD. While the TSGD increases overall synapse proteome complexity, the Post Synaptic Density (PSD) proteome of zebrafish has lower complexity than mammals. A highly conserved set of ~1000 proteins is shared across vertebrates. PSD ultrastructural features are also conserved. Lineage-specific proteome differences indicate vertebrate species evolved distinct synapse types and functions. The datasets are a resource for a wide range of studies and have important implications for the use of zebrafish in modelling human synaptic diseases. |
| first_indexed | 2025-11-14T19:40:47Z |
| format | Article |
| id | nottingham-40100 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:40:47Z |
| publishDate | 2017 |
| publisher | Nature Publishing Group |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-401002020-05-04T18:36:26Z https://eprints.nottingham.ac.uk/40100/ Evolution of complexity in the zebrafish synapse proteome Bayes, Alex Collins, Mark O. Reig-Vader, Rrita Gou, Gemma Goulding, David Izquierdo, Abril Choudhary, Jyoti S. Emes, Richard D. Grant, Seth G.N. The proteome of human brain synapses is highly complex and mutated in over 130 diseases. This complexity arose from two whole genome duplications early in the vertebrate lineage. Zebrafish are used in modelling human diseases, however its synapse proteome is uncharacterised and whether the teleost-specific genome duplication (TSGD) influenced complexity is unknown. We report the characterisation of the proteomes and ultrastructure of central synapses in zebrafish and analyse the importance of the TSGD. While the TSGD increases overall synapse proteome complexity, the Post Synaptic Density (PSD) proteome of zebrafish has lower complexity than mammals. A highly conserved set of ~1000 proteins is shared across vertebrates. PSD ultrastructural features are also conserved. Lineage-specific proteome differences indicate vertebrate species evolved distinct synapse types and functions. The datasets are a resource for a wide range of studies and have important implications for the use of zebrafish in modelling human synaptic diseases. Nature Publishing Group 2017-03-02 Article PeerReviewed Bayes, Alex, Collins, Mark O., Reig-Vader, Rrita, Gou, Gemma, Goulding, David, Izquierdo, Abril, Choudhary, Jyoti S., Emes, Richard D. and Grant, Seth G.N. (2017) Evolution of complexity in the zebrafish synapse proteome. Nature Communications . ISSN 2041-1723 http://www.nature.com/articles/ncomms14613 doi:10.1038/ncomms14613 doi:10.1038/ncomms14613 |
| spellingShingle | Bayes, Alex Collins, Mark O. Reig-Vader, Rrita Gou, Gemma Goulding, David Izquierdo, Abril Choudhary, Jyoti S. Emes, Richard D. Grant, Seth G.N. Evolution of complexity in the zebrafish synapse proteome |
| title | Evolution of complexity in the zebrafish synapse proteome |
| title_full | Evolution of complexity in the zebrafish synapse proteome |
| title_fullStr | Evolution of complexity in the zebrafish synapse proteome |
| title_full_unstemmed | Evolution of complexity in the zebrafish synapse proteome |
| title_short | Evolution of complexity in the zebrafish synapse proteome |
| title_sort | evolution of complexity in the zebrafish synapse proteome |
| url | https://eprints.nottingham.ac.uk/40100/ https://eprints.nottingham.ac.uk/40100/ https://eprints.nottingham.ac.uk/40100/ |