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New Drosophila Long-Term Memory Genes Revealed by Assessing Computational Function Prediction Methods
A major bottleneck to our understanding of the genetic and molecular foundation of life lies in the ability to assign function to a gene and, subsequently, a protein. Traditional molecular and genetic experiments can provide the most reliable forms of identification, but are generally low-throughput...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Genetics Society of America
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6325913/ https://www.ncbi.nlm.nih.gov/pubmed/30463884 http://dx.doi.org/10.1534/g3.118.200867 |
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author | Kacsoh, Balint Z. Barton, Stephen Jiang, Yuxiang Zhou, Naihui Mooney, Sean D. Friedberg, Iddo Radivojac, Predrag Greene, Casey S. Bosco, Giovanni |
author_facet | Kacsoh, Balint Z. Barton, Stephen Jiang, Yuxiang Zhou, Naihui Mooney, Sean D. Friedberg, Iddo Radivojac, Predrag Greene, Casey S. Bosco, Giovanni |
author_sort | Kacsoh, Balint Z. |
collection | PubMed |
description | A major bottleneck to our understanding of the genetic and molecular foundation of life lies in the ability to assign function to a gene and, subsequently, a protein. Traditional molecular and genetic experiments can provide the most reliable forms of identification, but are generally low-throughput, making such discovery and assignment a daunting task. The bottleneck has led to an increasing role for computational approaches. The Critical Assessment of Functional Annotation (CAFA) effort seeks to measure the performance of computational methods. In CAFA3, we performed selected screens, including an effort focused on long-term memory. We used homology and previous CAFA predictions to identify 29 key Drosophila genes, which we tested via a long-term memory screen. We identify 11 novel genes that are involved in long-term memory formation and show a high level of connectivity with previously identified learning and memory genes. Our study provides first higher-order behavioral assay and organism screen used for CAFA assessments and revealed previously uncharacterized roles of multiple genes as possible regulators of neuronal plasticity at the boundary of information acquisition and memory formation. |
format | Online Article Text |
id | pubmed-6325913 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Genetics Society of America |
record_format | MEDLINE/PubMed |
spelling | pubmed-63259132019-01-10 New Drosophila Long-Term Memory Genes Revealed by Assessing Computational Function Prediction Methods Kacsoh, Balint Z. Barton, Stephen Jiang, Yuxiang Zhou, Naihui Mooney, Sean D. Friedberg, Iddo Radivojac, Predrag Greene, Casey S. Bosco, Giovanni G3 (Bethesda) Investigations A major bottleneck to our understanding of the genetic and molecular foundation of life lies in the ability to assign function to a gene and, subsequently, a protein. Traditional molecular and genetic experiments can provide the most reliable forms of identification, but are generally low-throughput, making such discovery and assignment a daunting task. The bottleneck has led to an increasing role for computational approaches. The Critical Assessment of Functional Annotation (CAFA) effort seeks to measure the performance of computational methods. In CAFA3, we performed selected screens, including an effort focused on long-term memory. We used homology and previous CAFA predictions to identify 29 key Drosophila genes, which we tested via a long-term memory screen. We identify 11 novel genes that are involved in long-term memory formation and show a high level of connectivity with previously identified learning and memory genes. Our study provides first higher-order behavioral assay and organism screen used for CAFA assessments and revealed previously uncharacterized roles of multiple genes as possible regulators of neuronal plasticity at the boundary of information acquisition and memory formation. Genetics Society of America 2018-11-21 /pmc/articles/PMC6325913/ /pubmed/30463884 http://dx.doi.org/10.1534/g3.118.200867 Text en Copyright © 2019 by the Genetics Society of America http://creativecommons.org/licenses/by/4.0/ This is an open-access article 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 the original work is properly cited. |
spellingShingle | Investigations Kacsoh, Balint Z. Barton, Stephen Jiang, Yuxiang Zhou, Naihui Mooney, Sean D. Friedberg, Iddo Radivojac, Predrag Greene, Casey S. Bosco, Giovanni New Drosophila Long-Term Memory Genes Revealed by Assessing Computational Function Prediction Methods |
title | New Drosophila Long-Term Memory Genes Revealed by Assessing Computational Function Prediction Methods |
title_full | New Drosophila Long-Term Memory Genes Revealed by Assessing Computational Function Prediction Methods |
title_fullStr | New Drosophila Long-Term Memory Genes Revealed by Assessing Computational Function Prediction Methods |
title_full_unstemmed | New Drosophila Long-Term Memory Genes Revealed by Assessing Computational Function Prediction Methods |
title_short | New Drosophila Long-Term Memory Genes Revealed by Assessing Computational Function Prediction Methods |
title_sort | new drosophila long-term memory genes revealed by assessing computational function prediction methods |
topic | Investigations |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6325913/ https://www.ncbi.nlm.nih.gov/pubmed/30463884 http://dx.doi.org/10.1534/g3.118.200867 |
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