Drift in individual behavioral phenotype as a strategy for unpredictable worlds

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Authors: Ryan Maloney, Athena Ye, Sam-Keny Saint-Pre, Tom Alisch, David M. Zimmerman, Nicole Pittoors, Benjamin de Bivort
Cited by: 3
References: 50

Abstract

Individuals, even with matched genetics and environment, show substantial phenotypic variability. This variability may be part of a bet-hedging strategy, where populations express a range of phenotypes to ensure survival in unpredictable environments. In addition, phenotypic variability between individuals (‘bet-hedging’), individuals also show variability in their phenotype across time, even absent external cues. There are few evolutionary theories that explain random shifts in phenotype across an animal's life, which we term drift in individual phenotype. We use individuality in locomotor handedness in Drosophila melanogaster to characterize both bet-hedging and drift. We use a continuous circling assay to show that handedness spontaneously changes over timescales ranging from seconds to the lifespan of a fly. We compare the amount of drift and bet-hedging across a number of different fly strains and show independent strain-specific differences in bet-hedging and drift. We show manipulation of serotonin changes the rate of drift, indicating a potential circuit substrate controlling drift. We then develop a theoretical framework for assessing the adaptive value of drift, demonstrating that drift may be adaptive for populations subject to selection pressures that fluctuate on timescales similar to the lifespan of an animal. We apply our model to real-world environmental signals and find patterns of fluctuations that favor random drift in behavioral phenotype, suggesting that drift may be adaptive under some real-world conditions. These results demonstrate that drift plays a role in driving variability in a population and may serve an adaptive role distinct from population-level bet-hedging.

Fields of Study & Subjects

Animal Behavior and Reproduction Hemispheric Asymmetry in Neuroscience Neurobiology and Insect Physiology Research

Publication details

Journal / source
eLife
Publisher
eLife Sciences Publications, Ltd
Volume
13
Publication date
20 April 2026
Language
EN