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Systems genetics of the Drosophila metabolome
Author(s) -
Shanshan Zhou,
Fabio Morgante,
Matthew Geisz,
Junwu Ma,
Robert R. H. Anholt,
Trudy F. C. Mackay
Publication year - 2019
Publication title -
genome research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.556
H-Index - 297
eISSN - 1549-5469
pISSN - 1088-9051
DOI - 10.1101/gr.243030.118
Subject(s) - biology , genetics , metabolome , phenotype , quantitative trait locus , genetic variation , drosophila melanogaster , gene , allele , metabolomics , single nucleotide polymorphism , trait , computational biology , genotype , bioinformatics , computer science , programming language
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.

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