MDN brain descending neurons coordinately activate backward and inhibit forward locomotion
Autor: | Arnaldo Carreira-Rosario, Alberto Cardona, Matthew Q Clark, Laurina Manning, Chris Q. Doe, Aref Arzan Zarin, Richard D. Fetter |
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Přispěvatelé: | Zarin, Aref Arzan [0000-0003-0484-3622], Clark, Matthew Q [0000-0002-1113-9388], Fetter, Richard D [0000-0002-1558-100X], Cardona, Albert [0000-0003-4941-6536], Doe, Chris Q [0000-0001-5980-8029], Apollo - University of Cambridge Repository |
Jazyk: | angličtina |
Rok vydání: | 2018 |
Předmět: |
0301 basic medicine
backward crawl QH301-705.5 Computer science Science neural circuit Crawling Neuronal circuitry Models Biological General Biochemistry Genetics and Molecular Biology 03 medical and health sciences medicine Connectome Animals Drosophila Proteins descending neuron Biology (General) Set (psychology) Motor Neurons General Immunology and Microbiology D. melanogaster behavior General Neuroscience fungi locomotor Brain General Medicine Forward locomotion command neuron 030104 developmental biology medicine.anatomical_structure Drosophila melanogaster Neuronal circuits Command neuron Larva Medicine Neuron Neuroscience Locomotion Research Article |
Zdroj: | eLife eLife, Vol 7 (2018) |
ISSN: | 2050-084X |
Popis: | Command-like descending neurons can induce many behaviors, such as backward locomotion, escape, feeding, courtship, egg-laying, or grooming (we define ‘command-like neuron’ as a neuron whose activation elicits or ‘commands’ a specific behavior). In most animals, it remains unknown how neural circuits switch between antagonistic behaviors: via top-down activation/inhibition of antagonistic circuits or via reciprocal inhibition between antagonistic circuits. Here, we use genetic screens, intersectional genetics, circuit reconstruction by electron microscopy, and functional optogenetics to identify a bilateral pair of Drosophila larval ‘mooncrawler descending neurons’ (MDNs) with command-like ability to coordinately induce backward locomotion and block forward locomotion; the former by stimulating a backward-active premotor neuron, and the latter by disynaptic inhibition of a forward-specific premotor neuron. In contrast, direct monosynaptic reciprocal inhibition between forward and backward circuits was not observed. Thus, MDNs coordinate a transition between antagonistic larval locomotor behaviors. Interestingly, larval MDNs persist into adulthood, where they can trigger backward walking. Thus, MDNs induce backward locomotion in both limbless and limbed animals. eLife digest When we choose to make one kind of movement, it often prevents us making another. We cannot move forward and backward at the same time, for example, and a horse cannot simultaneously gallop and walk. These ‘antagonistic’ behaviors often use the same group of muscles, but the muscles contract in a different order. This requires exquisite control over muscle contractions. Neurons located in the central nervous system form circuits to produce distinct patterns of muscle contractions and to switch between these patterns. Smooth, rapid switching between behaviors is important for animal escape and survival, as well as for performing fine movements. However, we know little about how the activity of the neuronal circuits enables this. Carreira-Rosario, Zarin, Clark et al. set out to identify the underlying neuronal circuitry that allows larval fruit flies to transition between crawling forward and backward. Results from a combination of genetics and microscopy techniques revealed that a neuron called the Mooncrawler Descending Neuron (MDN) induces a switch from forward to backward travel. MDN activates a neuron that stops the larvae crawling forward, and at the same time activates a different neuron that is only active when the larvae crawl backward. Carreira-Rosario et al. also found that MDN triggers backward crawling in the six-limbed adult fly. Understanding how a single neuron – in this case MDN – can trigger a smooth switch between opposing behaviors could be beneficial for the medical and robotics fields. In the medical field, understanding how movement is generated could help to improve therapies that fix damage to the relevant neuronal circuits. Understanding how behavioral transitions occur may also help to design autonomous robots that can navigate complex terrain. |
Databáze: | OpenAIRE |
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