The structure of behavioral variation within a genotype

Werkhoven, Zachary; Bravin, Alyssa; Skutt-Kakaria, Kyobi; Reimers, Pablo; Pallares, Luisa F.; Ayroles, Julien F.; Bivort, Benjamin L. de

doi:10.1101/779363

Cited by 4 publications

(3 citation statements)

References 79 publications

(60 reference statements)

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“…Individual measures of fly behavior (Ayroles et al, 2015;Bierbach et al, 2017;Buchanan et al, 2015;Freund et al, 2013;Kain et al, 2012;Linneweber et al, 2019;Schuett et al, 2011;Todd et al, 2017;Werkhoven et al, 2019a) are typically stable over days. This was indeed the case for the specific turn biases that flies showed in the dark and light conditions, as well as their individual LDM values (Fig 1I).…”

Section: Resultsmentioning

confidence: 99%

A neural circuit basis for context-modulation of individual locomotor behavior

Skutt-Kakaria

Reimers

Currier

et al. 2019

Preprint

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Defying the cliche that biological variation arises from differences in nature or nurture, genetically identical animals reared in the same environment exhibit striking differences in their behaviors. Innate behaviors can be surprisingly flexible, for example by exhibiting context-dependence. The intersection of behavioral individuality and contextdependence is largely unexplored, particularly at the neural circuit level. Here, we show that individual flies' tendencies to turn left or right (locomotor handedness) changes when ambient illumination changes. This change is itself a stable individual behavioral characteristic. Silencing output neurons of the central complex (a premotor area that mediates goal-directed navigation) blocks this change. These neurons respond to light with idiosyncratic changes to their baseline calcium levels, and idiosyncratic morphological variation in their presynaptic arbors correlates with idiosyncratic sensory-context-specific turn biases. These findings provide a circuit mechanism by which individual locomotor biases arise and are modulated by sensory context.

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Section: Resultsmentioning

confidence: 99%

A neural circuit basis for context-modulation of individual locomotor behavior

Skutt-Kakaria

Reimers

Currier

et al. 2019

Preprint

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“…We developed computational tools that allow the behavioral monitoring of mosquitoes at an unprecedented level of detail. Behavioral research on other animals, including fruit flies (Werkhoven et al, 2019;Pereira et al, 2019) and zebrafish (Marques et al, 2018;Johnson et al, 2020) shows that high spatiotemporal resolution data describing the posture of animals can be very informative to dissect behavioral trajectories and compare behavioral statistics across individuals and experimental treatments. While the details of computational approaches differ, a common theme is the two dimensional embedding of a high-dimensional representation of an animal at a given time point (e.g.…”

Section: Discussionmentioning

confidence: 99%

BiteOscope, an open platform to study mosquito biting behavior

Hol

Lambrechts

Prakash

2020

eLife

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Female mosquitoes need a blood meal to reproduce, and in obtaining this essential nutrient they transmit deadly pathogens. Although crucial for the spread of mosquito-borne diseases, blood feeding remains poorly understood due to technological limitations. Indeed, studies often expose human subjects to assess biting behavior. Here, we present the biteOscope, a device that attracts mosquitoes to a host mimic which they bite to obtain an artificial blood meal. The host mimic is transparent, allowing high-resolution imaging of the feeding mosquito. Using machine learning we extract detailed behavioral statistics describing the locomotion, pose, biting, and feeding dynamics of Aedes aegypti, Aedes albopictus, Anopheles stephensi, and Anopheles coluzzii. In addition to characterizing behavioral patterns, we discover that the common insect repellent DEET repels Anopheles coluzzii upon contact with their legs. The biteOscope provides a new perspective on mosquito blood feeding, enabling the high-throughput quantitative characterization of this lethal behavior.

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“…For odor-glomeruli combinations with missing DoOR values (40% of the dataset), we performed imputation via alternating least squares (using the pca function with option 'als' to infill missing values 69 ) on the odor x glomerulus matrix 1000 times and taking the mean infilled matrix, which provides a closer match to ground truth missing values than a single run of ALS (Figure S4 of 70 ).…”

Section: Voltage Modelmentioning

confidence: 99%

Neural correlates of individual odor preference inDrosophila

Churgin

Lavrentovich

Smith

et al. 2021

Preprint

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Behavior varies even among genetically identical animals raised in the same environment. However, little is known about the circuit or anatomical underpinnings of this individuality. Drosophila olfaction is an ideal system for discovering the origins of behavioral individuality among genetically identical individuals. The fly olfactory circuit is well-characterized and stereotyped, yet stable idiosyncrasies in odor preference, neural coding, and neural wiring are present and may be relevant to behavior. Using paired behavior and two-photon imaging measurements, we show that individual odor preferences in odor-vs-air and odor-vs-odor assays are predicted by idiosyncratic calcium dynamics in Olfactory Receptor Neurons (ORNs) and Projection Neurons (PNs), respectively. This suggests that circuit variation at the sensory periphery determines individual odor preferences. Furthermore, paired behavior and immunohistochemistry measurements reveal that variation in ORN presynaptic density also predicts odor-vs-odor preference. This point in the olfactory circuit appears to be a locus of individuality where microscale variation gives rise to idiosyncratic behavior. To unify these results, we constructed a leaky-integrate-and-fire model of 3,062 neurons in the antennal lobe. In these simulations, stochastic fluctuations at the glomerular level, like those observed in our ORN immunohistochemistry, produce variation in PN calcium responses with the same structure as we observed experimentally, the very structure that predicts idiosyncratic behavior. Thus, our results demonstrate how minute physiological and structural variations in a neural circuit may produce individual behavior, even when genetics and environment are held constant.

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The structure of behavioral variation within a genotype

Cited by 4 publications

References 79 publications

A neural circuit basis for context-modulation of individual locomotor behavior

A neural circuit basis for context-modulation of individual locomotor behavior

BiteOscope, an open platform to study mosquito biting behavior

Neural correlates of individual odor preference inDrosophila

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