Systematic characterization of wing mechanosensors that monitor airflow and wing deformations.
Animal physiology
Biomechanics
Entomology
Sensory neuroscience
Journal
iScience
ISSN: 2589-0042
Titre abrégé: iScience
Pays: United States
ID NLM: 101724038
Informations de publication
Date de publication:
15 Apr 2022
15 Apr 2022
Historique:
received:
19
05
2021
revised:
07
02
2022
accepted:
21
03
2022
entrez:
25
4
2022
pubmed:
26
4
2022
medline:
26
4
2022
Statut:
epublish
Résumé
Animal wings deform during flight in ways that can enhance lift, facilitate flight control, and mitigate damage. Monitoring the structural and aerodynamic state of the wing is challenging because deformations are passive, and the flow fields are unsteady; it requires distributed mechanosensors that respond to local airflow and strain on the wing. Without a complete map of the sensor arrays, it is impossible to model control strategies underpinned by them. Here, we present the first systematic characterization of mechanosensors on the dragonfly's wings: morphology, distribution, and wiring. By combining a cross-species survey of sensor distribution with quantitative neuroanatomy and a high-fidelity finite element analysis, we show that the mechanosensors are well placed to perceive features of the wing dynamics relevant to flight. This work describes the wing sensory apparatus in its entirety and advances our understanding of the sensorimotor loop that facilitates exquisite flight control in animals with highly deformable wings.
Identifiants
pubmed: 35465360
doi: 10.1016/j.isci.2022.104150
pii: S2589-0042(22)00420-5
pmc: PMC9018384
doi:
Banques de données
Dryad
['10.5061/dryad.h18931zn']
Types de publication
Journal Article
Langues
eng
Pagination
104150Informations de copyright
© 2022 The Authors.
Déclaration de conflit d'intérêts
The authors declare no competing interests.
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