Balancing selection shapes density-dependent foraging behaviour.

TitleBalancing selection shapes density-dependent foraging behaviour.
Publication TypeJournal Article
Year of Publication2016
AuthorsGreene JS, Brown M, Dobosiewicz M, Ishida IG, Macosko EZ, Zhang X, Butcher RA, Cline DJ, McGrath PT, Bargmann CI
JournalNature
Volume539
Issue7628
Pagination254-258
Date Published2016 11 10
ISSN1476-4687
KeywordsAnimals, Caenorhabditis elegans, Caenorhabditis elegans Proteins, Feeding Behavior, Food, Game Theory, Haplotypes, Hexoses, Indoles, Male, Pheromones, Population Density, Quantitative Trait Loci, Receptors, G-Protein-Coupled, Selection, Genetic, Sensory Receptor Cells, Social Behavior
Abstract

The optimal foraging strategy in a given environment depends on the number of competing individuals and their behavioural strategies. Little is known about the genes and neural circuits that integrate social information into foraging decisions. Here we show that ascaroside pheromones, small glycolipids that signal population density, suppress exploratory foraging in Caenorhabditis elegans, and that heritable variation in this behaviour generates alternative foraging strategies. We find that natural C. elegans isolates differ in their sensitivity to the potent ascaroside icas#9 (IC-asc-C5). A quantitative trait locus (QTL) regulating icas#9 sensitivity includes srx-43, a G-protein-coupled icas#9 receptor that acts in the ASI class of sensory neurons to suppress exploration. Two ancient haplotypes associated with this QTL confer competitive growth advantages that depend on ascaroside secretion, its detection by srx-43 and the distribution of food. These results suggest that balancing selection at the srx-43 locus generates alternative density-dependent behaviours, fulfilling a prediction of foraging game theory.

DOI10.1038/nature19848
Alternate JournalNature
PubMed ID27799655
PubMed Central IDPMC5161598
Grant List / / Howard Hughes Medical Institute / United States
F30 MH101931 / MH / NIMH NIH HHS / United States
R01 GM114170 / GM / NIGMS NIH HHS / United States

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