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Systems Genetics of Complex Traits in Drosophila melanogaster
Determining the genetic architecture of complex traits is challenging because phenotypic variation arises from interactions between multiple, environmentally sensitive alleles. We quantified genome-wide transcript abundance and phenotypes for six ecologically relevant traits in D. melanogaster wild-...
Autores principales: | , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2752214/ https://www.ncbi.nlm.nih.gov/pubmed/19234471 http://dx.doi.org/10.1038/ng.332 |
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author | Ayroles, Julien F. Carbone, Mary Anna Stone, Eric A. Jordan, Katherine W. Lyman, Richard F. Magwire, Michael M. Rollmann, Stephanie M. Duncan, Laura H. Lawrence, Faye Anholt, Robert R. H. Mackay, Trudy F. C. |
author_facet | Ayroles, Julien F. Carbone, Mary Anna Stone, Eric A. Jordan, Katherine W. Lyman, Richard F. Magwire, Michael M. Rollmann, Stephanie M. Duncan, Laura H. Lawrence, Faye Anholt, Robert R. H. Mackay, Trudy F. C. |
author_sort | Ayroles, Julien F. |
collection | PubMed |
description | Determining the genetic architecture of complex traits is challenging because phenotypic variation arises from interactions between multiple, environmentally sensitive alleles. We quantified genome-wide transcript abundance and phenotypes for six ecologically relevant traits in D. melanogaster wild-derived inbred lines. We observed 10,096 genetically variable transcripts and high heritabilities for all organismal phenotypes. The transcriptome is highly genetically inter-correlated, forming 241 transcriptional modules. Modules are enriched for transcripts in common pathways, gene ontology categories, tissue-specific expression, and transcription factor binding sites. The high transcriptional connectivity allows us to infer genetic networks and the function of predicted genes based on annotations of other genes in the network. Regressions of organismal phenotypes on transcript abundance implicate several hundred candidate genes that form modules of biologically meaningful correlated transcripts affecting each phenotype. Overlapping transcripts in modules associated with different traits provides insight into the molecular basis of pleiotropy between complex traits. |
format | Text |
id | pubmed-2752214 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
record_format | MEDLINE/PubMed |
spelling | pubmed-27522142009-09-25 Systems Genetics of Complex Traits in Drosophila melanogaster Ayroles, Julien F. Carbone, Mary Anna Stone, Eric A. Jordan, Katherine W. Lyman, Richard F. Magwire, Michael M. Rollmann, Stephanie M. Duncan, Laura H. Lawrence, Faye Anholt, Robert R. H. Mackay, Trudy F. C. Nat Genet Article Determining the genetic architecture of complex traits is challenging because phenotypic variation arises from interactions between multiple, environmentally sensitive alleles. We quantified genome-wide transcript abundance and phenotypes for six ecologically relevant traits in D. melanogaster wild-derived inbred lines. We observed 10,096 genetically variable transcripts and high heritabilities for all organismal phenotypes. The transcriptome is highly genetically inter-correlated, forming 241 transcriptional modules. Modules are enriched for transcripts in common pathways, gene ontology categories, tissue-specific expression, and transcription factor binding sites. The high transcriptional connectivity allows us to infer genetic networks and the function of predicted genes based on annotations of other genes in the network. Regressions of organismal phenotypes on transcript abundance implicate several hundred candidate genes that form modules of biologically meaningful correlated transcripts affecting each phenotype. Overlapping transcripts in modules associated with different traits provides insight into the molecular basis of pleiotropy between complex traits. 2009-02-22 2009-03 /pmc/articles/PMC2752214/ /pubmed/19234471 http://dx.doi.org/10.1038/ng.332 Text en http://www.nature.com/authors/editorial_policies/license.html#terms Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms |
spellingShingle | Article Ayroles, Julien F. Carbone, Mary Anna Stone, Eric A. Jordan, Katherine W. Lyman, Richard F. Magwire, Michael M. Rollmann, Stephanie M. Duncan, Laura H. Lawrence, Faye Anholt, Robert R. H. Mackay, Trudy F. C. Systems Genetics of Complex Traits in Drosophila melanogaster |
title | Systems Genetics of Complex Traits in Drosophila melanogaster |
title_full | Systems Genetics of Complex Traits in Drosophila melanogaster |
title_fullStr | Systems Genetics of Complex Traits in Drosophila melanogaster |
title_full_unstemmed | Systems Genetics of Complex Traits in Drosophila melanogaster |
title_short | Systems Genetics of Complex Traits in Drosophila melanogaster |
title_sort | systems genetics of complex traits in drosophila melanogaster |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2752214/ https://www.ncbi.nlm.nih.gov/pubmed/19234471 http://dx.doi.org/10.1038/ng.332 |
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