ArticleFrontiers in behavioral neuroscience2022
Precise Quantification of Behavioral Individuality From 80 Million Decisions Across 183,000 Flies.
Article in Frontiers in behavioral neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 38 citations in OpenAlex.
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- Family-based selection: an efficient method for increasing phenotypic variability.G3 (Bethesda, Md.) · 2025Article
- Division of labour in colony defence in a clonal ant.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025Article
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- Competitive social feedback amplifies the role of early life contingency in male mice.Science (New York, N.Y.) · 2025Article
- Uncovering multiscale structure in the variability of larval zebrafish navigation.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Spatiotemporal dynamics of locomotor decisions inbioRxiv : the preprint server for biology · 2024Article
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- Sex-specific competitive social feedback amplifies the role of early life contingency in male mice.bioRxiv : the preprint server for biology · 2024Article
- SAMPL is a high-throughput solution to study unconstrained vertical behavior in small animals.Cell reports · 2023Article
- Scalable Apparatus to Measure Posture and Locomotion (SAMPL): a high-throughput solution to study unconstrained vertical behavior in small animals.bioRxiv : the preprint server for biology · 2023Article
- Development under predation risk increases serotonin-signaling, variability of turning behavior and survival in adult fruit fliesFrontiers in behavioral neuroscience · 2023Article
- Shedding Light on Inter-Individual Variability of Olfactory Circuits inFrontiers in behavioral neuroscience · 2022Review
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Authors and funding
13 authors at 1 institution in 1 country.
Funding
Abstract
Individual animals behave differently from each other. This variability is a component of personality and arises even when genetics and environment are held constant. Discovering the biological mechanisms underlying behavioral variability depends on efficiently measuring individual behavioral bias, a requirement that is facilitated by automated, high-throughput experiments. We compiled a large data set of individual locomotor behavior measures, acquired from over 183,000 fruit flies walking in Y-shaped mazes. With this data set we first conducted a "computational ethology natural history" study to quantify the distribution of individual behavioral biases with unprecedented precision and examine correlations between behavioral measures with high power. We discovered a slight, but highly significant, left-bias in spontaneous locomotor decision-making. We then used the data to evaluate standing hypotheses about biological mechanisms affecting behavioral variability, specifically: the neuromodulator serotonin and its precursor transporter, heterogametic sex, and temperature. We found a variety of significant effects associated with each of these mechanisms that were behavior-dependent. This indicates that the relationship between biological mechanisms and behavioral variability may be highly context dependent. Going forward, automation of behavioral experiments will likely be essential in teasing out the complex causality of individuality.
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