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Systems genetics of the Drosophila metabolome
How effects of DNA sequence variants are transmitted through intermediate endophenotypes to modulate organismal traits remains a central question in quantitative genetics. This problem can be addressed through a systems approach in a population in which genetic polymorphisms, gene expression traits,...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7111526/ https://www.ncbi.nlm.nih.gov/pubmed/31694867 http://dx.doi.org/10.1101/gr.243030.118 |
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author | Zhou, Shanshan Morgante, Fabio Geisz, Matthew S. Ma, Junwu Anholt, Robert R.H. Mackay, Trudy F.C. |
author_facet | Zhou, Shanshan Morgante, Fabio Geisz, Matthew S. Ma, Junwu Anholt, Robert R.H. Mackay, Trudy F.C. |
author_sort | Zhou, Shanshan |
collection | PubMed |
description | How effects of DNA sequence variants are transmitted through intermediate endophenotypes to modulate organismal traits remains a central question in quantitative genetics. This problem can be addressed through a systems approach in a population in which genetic polymorphisms, gene expression traits, metabolites, and complex phenotypes can be evaluated on the same genotypes. Here, we focused on the metabolome, which represents the most proximal link between genetic variation and organismal phenotype, and quantified metabolite levels in 40 lines of the Drosophila melanogaster Genetic Reference Panel. We identified sex-specific modules of genetically correlated metabolites and constructed networks that integrate DNA sequence variation and variation in gene expression with variation in metabolites and organismal traits, including starvation stress resistance and male aggression. Finally, we asked to what extent SNPs and metabolites can predict trait phenotypes and generated trait- and sex-specific prediction models that provide novel insights about the metabolomic underpinnings of complex phenotypes. |
format | Online Article Text |
id | pubmed-7111526 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Cold Spring Harbor Laboratory Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-71115262020-04-03 Systems genetics of the Drosophila metabolome Zhou, Shanshan Morgante, Fabio Geisz, Matthew S. Ma, Junwu Anholt, Robert R.H. Mackay, Trudy F.C. Genome Res Research How effects of DNA sequence variants are transmitted through intermediate endophenotypes to modulate organismal traits remains a central question in quantitative genetics. This problem can be addressed through a systems approach in a population in which genetic polymorphisms, gene expression traits, metabolites, and complex phenotypes can be evaluated on the same genotypes. Here, we focused on the metabolome, which represents the most proximal link between genetic variation and organismal phenotype, and quantified metabolite levels in 40 lines of the Drosophila melanogaster Genetic Reference Panel. We identified sex-specific modules of genetically correlated metabolites and constructed networks that integrate DNA sequence variation and variation in gene expression with variation in metabolites and organismal traits, including starvation stress resistance and male aggression. Finally, we asked to what extent SNPs and metabolites can predict trait phenotypes and generated trait- and sex-specific prediction models that provide novel insights about the metabolomic underpinnings of complex phenotypes. Cold Spring Harbor Laboratory Press 2020-03 /pmc/articles/PMC7111526/ /pubmed/31694867 http://dx.doi.org/10.1101/gr.243030.118 Text en © 2020 Zhou et al.; Published by Cold Spring Harbor Laboratory Press http://creativecommons.org/licenses/by/4.0/ This article, published in Genome Research, is available under a Creative Commons License (Attribution 4.0 International), as described at http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Research Zhou, Shanshan Morgante, Fabio Geisz, Matthew S. Ma, Junwu Anholt, Robert R.H. Mackay, Trudy F.C. Systems genetics of the Drosophila metabolome |
title | Systems genetics of the Drosophila metabolome |
title_full | Systems genetics of the Drosophila metabolome |
title_fullStr | Systems genetics of the Drosophila metabolome |
title_full_unstemmed | Systems genetics of the Drosophila metabolome |
title_short | Systems genetics of the Drosophila metabolome |
title_sort | systems genetics of the drosophila metabolome |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7111526/ https://www.ncbi.nlm.nih.gov/pubmed/31694867 http://dx.doi.org/10.1101/gr.243030.118 |
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