DOI: 10.5061/dryad.z8w9ghxfc
title: The evolutionary trajectory of drosophilid walking

description: Neural circuits must both execute the behavioral repertoire of individuals
 and account for behavioral variation across species. Understanding how
 this variation emerges over evolutionary time requires large-scale
 phylogenetic comparisons of behavioral repertoires. Here, we describe the
 evolution of walking in fruit flies by capturing high-resolution,
 unconstrained movement from 13 species and 15 strains of drosophilids. We
 find that walking can be captured in a universal behavior space, the
 structure of which is evolutionarily conserved. However, the occurrence
 of, and transitions between, specific movements have evolved rapidly,
 resulting in repeated convergent evolution in the temporal structure of
 locomotion. Moreover, a meta-analysis demonstrates that many behaviors
 evolve more rapidly than other traits. Thus, the architecture and
 physiology of locomotor circuits can both execute precise individual
 movements in one species and simultaneously support rapid evolutionary
 changes in the temporal ordering of these modular elements across clades.
description: This dataset
 represents the movement patterns of individual flies measured using The
 Coliseum, an enclosed 1m x 1m arena for measuring the unconstrained
 walking of fruit flies. The arena is sealed from external light via
 Velcro-attached curtains on the sides and solid walls on the top and
 bottom. Flies are released into the arena through a hole in the floor by
 means of an automated dispenser consisting of a vial filled with flies and
 a servo-gated exit. Flies enter the arena by crawling up the exit channel.
 An optical sensor detects that a fly has entered the channel and
 immediately closes the gate behind the fly to both avoid releasing
 multiple flies simultaneously and to prevent flies from returning to the
 vial from the arena. Once a fly is in the arena, it is edge-lit by IR LEDs
 around the perimeter of the floor and recorded from above by a
 high-definition camera outfitted with a zoom lens that is sufficiently
 powerful to capture anatomical details at high resolution. To keep the fly
 in its field of view the camera is mounted on a 2-axis CNC mill (grbl with
 gShield + Arduino UNO; stepper motors are SM42HT47-1684B) that updates the
 camera position as the fly moves.    The
 position of the CNC mill is controlled by the software flyvr
 (github.com/ClandininLab/flyvr) by tracking the position of the fly and
 the camera simultaneously. The fly’s position in the camera is first
 computed by thresholding and extracting the pixels representing the fly,
 identifying the head-tail axis and orientation, and then calculating the
 in-frame coordinates of the fly’s center. This relative position is then
 summed with the position of the camera to calculate an absolute position
 in the Coliseum which is used to update the stepper-motor coordinates of
 the CNC and thus keep the camera in sync with the fly’s movement. The
 absolute position and heading angle of the fly are recorded for each frame
 (at 100Hz) and outputted by flyvr at the end of each trial.
   Immediately after
 eclosion, virgin female flies were sorted into vials of 10-20 flies and
 reared in light-dark chambers (12:12h) at 25°C. 2-4 day old flies were used for tracking in the Coliseum. On the day of the experiment, individual vials would be loaded directly into the automated dispenser and flies would enter the Coliseum one at a time. Flies were allowed to explore the arena freely for up to 20 minutes, after which the animal would be manually removed from the chamber. The floor of the Coliseum was cleaned with 70% ethanol between trials to remove odorants or other stimuli that may affect patterns of locomotor behavior. All experiments were conducted during the same time window to align with the light-dark cycle, from roughly CT0-CT3.