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Quantitative genomics of locomotor behavior in Drosophila melanogaster
BACKGROUND: Locomotion is an integral component of most animal behaviors, and many human health problems are associated with locomotor deficits. Locomotor behavior is a complex trait, with population variation attributable to many interacting loci with small effects that are sensitive to environment...
Autores principales: | , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2007
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2375002/ https://www.ncbi.nlm.nih.gov/pubmed/17708775 http://dx.doi.org/10.1186/gb-2007-8-8-r172 |
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author | Jordan, Katherine W Carbone, Mary Anna Yamamoto, Akihiko Morgan, Theodore J Mackay, Trudy FC |
author_facet | Jordan, Katherine W Carbone, Mary Anna Yamamoto, Akihiko Morgan, Theodore J Mackay, Trudy FC |
author_sort | Jordan, Katherine W |
collection | PubMed |
description | BACKGROUND: Locomotion is an integral component of most animal behaviors, and many human health problems are associated with locomotor deficits. Locomotor behavior is a complex trait, with population variation attributable to many interacting loci with small effects that are sensitive to environmental conditions. However, the genetic basis of this complex behavior is largely uncharacterized. RESULTS: We quantified locomotor behavior of Drosophila melanogaster in a large population of inbred lines derived from a single natural population, and derived replicated selection lines with different levels of locomotion. Estimates of broad-sense and narrow-sense heritabilities were 0.52 and 0.16, respectively, indicating substantial non-additive genetic variance for locomotor behavior. We used whole genome expression analysis to identify 1,790 probe sets with different expression levels between the selection lines when pooled across replicates, at a false discovery rate of 0.001. The transcriptional responses to selection for locomotor, aggressive and mating behavior from the same base population were highly overlapping, but the magnitude of the expression differences between selection lines for increased and decreased levels of behavior was uncorrelated. We assessed the locomotor behavior of ten mutations in candidate genes with altered transcript abundance between selection lines, and identified seven novel genes affecting this trait. CONCLUSION: Expression profiling of genetically divergent lines is an effective strategy for identifying genes affecting complex behaviors, and reveals that a large number of pleiotropic genes exhibit correlated transcriptional responses to multiple behaviors. |
format | Text |
id | pubmed-2375002 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-23750022008-05-10 Quantitative genomics of locomotor behavior in Drosophila melanogaster Jordan, Katherine W Carbone, Mary Anna Yamamoto, Akihiko Morgan, Theodore J Mackay, Trudy FC Genome Biol Research BACKGROUND: Locomotion is an integral component of most animal behaviors, and many human health problems are associated with locomotor deficits. Locomotor behavior is a complex trait, with population variation attributable to many interacting loci with small effects that are sensitive to environmental conditions. However, the genetic basis of this complex behavior is largely uncharacterized. RESULTS: We quantified locomotor behavior of Drosophila melanogaster in a large population of inbred lines derived from a single natural population, and derived replicated selection lines with different levels of locomotion. Estimates of broad-sense and narrow-sense heritabilities were 0.52 and 0.16, respectively, indicating substantial non-additive genetic variance for locomotor behavior. We used whole genome expression analysis to identify 1,790 probe sets with different expression levels between the selection lines when pooled across replicates, at a false discovery rate of 0.001. The transcriptional responses to selection for locomotor, aggressive and mating behavior from the same base population were highly overlapping, but the magnitude of the expression differences between selection lines for increased and decreased levels of behavior was uncorrelated. We assessed the locomotor behavior of ten mutations in candidate genes with altered transcript abundance between selection lines, and identified seven novel genes affecting this trait. CONCLUSION: Expression profiling of genetically divergent lines is an effective strategy for identifying genes affecting complex behaviors, and reveals that a large number of pleiotropic genes exhibit correlated transcriptional responses to multiple behaviors. BioMed Central 2007 2007-08-21 /pmc/articles/PMC2375002/ /pubmed/17708775 http://dx.doi.org/10.1186/gb-2007-8-8-r172 Text en Copyright © 2007 Jordan 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 Jordan, Katherine W Carbone, Mary Anna Yamamoto, Akihiko Morgan, Theodore J Mackay, Trudy FC Quantitative genomics of locomotor behavior in Drosophila melanogaster |
title | Quantitative genomics of locomotor behavior in Drosophila melanogaster |
title_full | Quantitative genomics of locomotor behavior in Drosophila melanogaster |
title_fullStr | Quantitative genomics of locomotor behavior in Drosophila melanogaster |
title_full_unstemmed | Quantitative genomics of locomotor behavior in Drosophila melanogaster |
title_short | Quantitative genomics of locomotor behavior in Drosophila melanogaster |
title_sort | quantitative genomics of locomotor behavior in drosophila melanogaster |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2375002/ https://www.ncbi.nlm.nih.gov/pubmed/17708775 http://dx.doi.org/10.1186/gb-2007-8-8-r172 |
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