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Systematic characterization of wing mechanosensors that monitor airflow and wing deformations.
Fabian, Joseph; Siwanowicz, Igor; Uhrhan, Myriam; Maeda, Masateru; Bomphrey, Richard J; Lin, Huai-Ti.
Afiliación
  • Fabian J; Imperial College London, London, SW7 2AZ, UK.
  • Siwanowicz I; The University of Adelaide, Adelaide, South Australia, 5005, Australia.
  • Uhrhan M; HHMI Janelia Research Campus, Ashburn, Virginia, 20147, USA.
  • Maeda M; Imperial College London, London, SW7 2AZ, UK.
  • Bomphrey RJ; Royal Veterinary College, Hatfield AL9 7TA, UK.
  • Lin HT; Royal Veterinary College, Hatfield AL9 7TA, UK.
iScience ; 25(4): 104150, 2022 Apr 15.
Article en En | MEDLINE | ID: mdl-35465360
ABSTRACT
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.
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Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: IScience Año: 2022 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: IScience Año: 2022 Tipo del documento: Article País de afiliación: Reino Unido