ArticleProceedings of the National Academy of Sciences of the United States of America2013
Analysis of natural variation reveals neurogenetic networks for Drosophila olfactory behavior.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.
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Who cites it
58 citing papers in PubMed.
- Chemosensation drives divergent social behavior in Drosophila.Communications biology · 2025Article
- Leveraging multi-echo EPI to enhance BOLD sensitivity in task-based olfactory fMRI.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Boosting life sciences research in Brazil: building a case for a local Drosophila stock center.Genetics and molecular biology · 2024Article
- Perspectives on the Drosophila melanogaster Model for Advances in Toxicological Science.Current protocols · 2023Review
- The genetic architecture of behavioral canalization.Trends in genetics : TIG · 2023Review
- Stability of olfactory behavior syndromes in the Drosophila larva.Scientific reports · 2023Article
- Genetic Background Matters: Population-Based Studies in Model Organisms for Translational Research.International journal of molecular sciences · 2022Review
- Validating methods for testing natural molecules on molecular pathways of interest in silico and in vitro.Journal of preventive medicine and hygiene · 2022Article
- Mechanisms of Variability Underlying Odor-Guided Locomotion.Frontiers in behavioral neuroscience · 2022Review
- Exercise-induced changes in climbing performance.Royal Society open science · 2021Article
- Raspberry ketone diet supplement reduces attraction of sterile male Queensland fruit fly to cuelure by altering expression of chemoreceptor genes.Scientific reports · 2021Article
- Chemical Modification of Glycosaminoglycan Polysaccharides.Molecules (Basel, Switzerland) · 2021Review
- An epigenetic pathway in rice connects genetic variation to anaerobic germination and seedling establishment.Plant physiology · 2021Article
- GWAS reveal a role for the central nervous system in regulating weight and weight change in response to exercise.Scientific reports · 2021Article
- RNA-binding protein syncrip regulates starvation-induced hyperactivity in adult Drosophila.PLoS genetics · 2021Article
- Heat shock proteins and small nucleolar RNAs are dysregulated in a Drosophila model for feline hypertrophic cardiomyopathy.G3 (Bethesda, Md.) · 2021Article
- Behavioral and Transcriptional Response to Selection for Olfactory Behavior inG3 (Bethesda, Md.) · 2020Article
- Evolution of Reproductive Behavior.Genetics · 2020Review
- Phenotypic Responses to and Genetic Architecture of Sterility Following Exposure to Sub-Lethal Temperature During Development.Frontiers in genetics · 2020Article
- Evolution of Epistatic Networks and the Genetic Basis of Innate Behaviors.Trends in genetics : TIG · 2020Review
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Authors and funding
4 authors.
Funding
Abstract
Understanding the relationship between genetic variation and phenotypic variation for quantitative traits is necessary for predicting responses to natural and artificial selection and disease risk in human populations, but is challenging because of large sample sizes required to detect and validate loci with small effects. Here, we used the inbred, sequenced, wild-derived lines of the Drosophila melanogaster Genetic Reference Panel (DGRP) to perform three complementary genome-wide association (GWA) studies for natural variation in olfactory behavior. The first GWA focused on single nucleotide polymorphisms (SNPs) associated with mean differences in olfactory behavior in the DGRP, the second was an extreme quantitative trait locus GWA on an outbred advanced intercross population derived from extreme DGRP lines, and the third was for SNPs affecting the variance among DGRP lines. No individual SNP in any analysis was associated with variation in olfactory behavior by using a strict threshold accounting for multiple tests, and no SNP overlapped among the analyses. However, combining the top SNPs from all three analyses revealed a statistically enriched network of genes involved in cellular signaling and neural development. We used mutational and gene expression analyses to validate both candidate genes and network connectivity at a high rate. The lack of replication between the GWA analyses, small marginal SNP effects, and convergence on common cellular networks were likely attributable to epistasis. These results suggest that fully understanding the genotype-phenotype relationship requires a paradigm shift from a focus on single SNPs to pathway associations.
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