Abstract
The winged insects of the orderDipteraare colloquially named for their most recognizable phenotype: flight. These insects rely on flight for a number of important life history traits, such as dispersal, foraging, and courtship. Despite the importance of flight, relatively little is known about the genetic architecture of flight performance. Accordingly, we sought to uncover the genetic modifiers of flight using a measure of flies’ reaction and response to an abrupt drop in a vertical flight column. We conducted a genome wide association study (GWAS) using 197 of theDrosophilaGenetic Reference Panel (DGRP) lines, and identified a combination of additive and marginal variants, epistatic interactions, whole genes, and enrichment across interaction networks.Egfr, a highly pleiotropic developmental gene, was among the most significant additive variants identified. We functionally validated 13 of the additive candidate genes’ (Adgf-A/Adgf-A2/CG32181,bru1,CadN,flapper(CG11073),CG15236,flippy(CG9766),CREG,Dscam4,form3,fry,Lasp/CG9692,Pde6,Snoo), and introduce a novel approach to whole gene significance screens:PEGASUS_flies. Additionally, we identifiedppk23, an Acid Sensing Ion Channel (ASIC) homolog, as an important hub for epistatic interactions. We propose a model that suggests genetic modifiers of wing and muscle morphology, nervous system development and function, BMP signaling, sexually dimorphic neural wiring, and gene regulation are all important for the observed differences flight performance in a natural population. Additionally, these results represent a snapshot of the genetic modifiers affecting drop-response flight performance inDrosophila, with implications for other insects.
Funder
National Institutes of Health
National Institute of General Medical Sciences, COBRE Center for Computational Biology of Human Disease
National Institute of General Medical Sciences, COBRE Center for Central Nervous
Division of Cancer Epidemiology and Genetics, National Cancer Institute
Alfred P. Sloan Foundation
David & Lucile Packard Fellowship for Science and Engineering
Brown University Predoctoral Training Program in Biological Data Science
National Institute of General Medical Sciences
Division of Biological Infrastructure
Publisher
Public Library of Science (PLoS)
Subject
Cancer Research,Genetics(clinical),Genetics,Molecular Biology,Ecology, Evolution, Behavior and Systematics