Natural variability and individuality of walking behavior in Drosophila
Godesberg, V.; Bockemühl, T.; Büschges, A.
Show abstract
Insects use walking behavior in a large number of contexts, such as exploration, foraging, escape and pursuit, or migration. A lot is known on how nervous systems produce this behavior in general and also how certain parameters vary with regard to walking direction or speed, for instance. An aspect that has not received much attention is if and how walking behavior varies across individuals of a particular species. To address this, we created a large corpus of kinematic walking data of many individuals of the fruit fly Drosophila. We only selected instances of straight walking in a narrow range of walking speeds to minimize the influence of these high-level parameters, aiming to uncover more subtle aspects of variability. Using high-speed videography and automated annotation we captured the positions of the six leg tips for thousands of steps and used principal components analysis to characterize the postural space individuals used during walking. Our analysis shows that the largest part of walking kinematics can be described by five principal components (PCs). Separation of these five PCs into a 2-dimensional and a 3-dimensional subspace was found to divide the description of walking behavior into invariant features shared across individuals and features that relate to the specifics of individuals; the latter features can be regarded as idiosyncrasies. We also demonstrate that this approach can detect the effects of experimental interventions in an unbiased manner and that general aspects of individuality, such as the average width of the individual walking posture, can be described. Summary statementThe kinematics of walking behavior in Drosophila can be decomposed into general aspects of motor output and idiosyncrasies of individual flies.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- FreeClimber: Automated quantification of climbing performance in Drosophila, with examples from mitonuclear genotypes 96%
- Random attention can explain apparent object choice behavior in free-walking blowflies 96%
- Unsupervised learning reveals rapid gait adaption after leg loss and regrowth in spiders 95%
Similar papers in this journal
- High-Throughput Tracking of Freely Moving Drosophila Reveals Variations in Aggression and Courtship Behaviors 94%
- GWAS reveal a role for the central nervous system in regulating weight and weight change in response to exercise 93%
- Heading choices of flying Drosophila under changing angles of polarized light 93%
Similar papers in this journal
- Fusome topology and inheritance during insect gametogenesis 92%
- Gain modulation and odor concentration invariance in early olfactory networks 91%
- Nonlinear expression patterns and multiple shifts in gene network interactions underlie robust phenotypic change in Drosophila melanogaster selected for night sleep duration 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.