Synchronous multi-segmental activity between metachronal waves controls locomotion speed in Drosophila larvae
Abstract
The ability to adjust the speed of locomotion is essential for survival. In limbed animals, the frequency of locomotion is modulated primarily by changing the duration of the stance phase. The underlying neural mechanisms of this selective modulation remain an open question. Here, we report a neural circuit controlling a similarly selective adjustment of locomotion frequency in Drosophila larvae. Drosophila larvae crawl using peristaltic waves of muscle contractions. We find that larvae adjust the frequency of locomotion mostly by varying the time between consecutive contraction waves, reminiscent of limbed locomotion. A specific set of muscles, the lateral transverse (LT) muscles, co-contract in all segments during this phase, the duration of which sets the duration of the interwave phase. We identify two types of GABAergic interneurons in the LT neural network, premotor neuron A26f and its presynaptic partner A31c, which exhibit segmentally synchronized activity and control locomotor frequency by setting the amplitude and duration of LT muscle contractions. Altogether, our results reveal an inhibitory central circuit that sets the frequency of locomotion by controlling the duration of the period in between peristaltic waves. Further analysis of the descending inputs onto this circuit will help understand the higher control of this selective modulation.
Citation
Liu , Y , Hasegawa , E , Nose , A , Zwart , M F & Kohsaka , H 2023 , ' Synchronous multi-segmental activity between metachronal waves controls locomotion speed in Drosophila larvae ' , eLife , vol. 12 , e83328 . https://doi.org/10.7554/elife.83328
Publication
eLife
Status
Peer reviewed
ISSN
2050-084XType
Journal article
Rights
Copyright Liu et al. This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.
Description
Funding: This work was supported by MEXT/JSPS KAKENHI grants (17K19439, 19H04742, 20H05048 to AN and 17K07042, 20K06908 to HK) and the Royal Society of Edinburgh (grant 64553 to MFZ).Collections
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