Mechanisms of DEET gustation in Drosophila.


Journal

Insect biochemistry and molecular biology
ISSN: 1879-0240
Titre abrégé: Insect Biochem Mol Biol
Pays: England
ID NLM: 9207282

Informations de publication

Date de publication:
04 2021
Historique:
received: 16 10 2020
revised: 31 01 2021
accepted: 31 01 2021
pubmed: 8 2 2021
medline: 30 7 2021
entrez: 7 2 2021
Statut: ppublish

Résumé

DEET is the most widely used active ingredient in insect repellents and offers protection against insect bites. We previously reported that DEET suppresses the feeding behavior of Drosophila, which is guided by gustatory receptors (GRs) in bitter-sensing gustatory receptor neurons. Here, we sought to identify new candidates using egg-laying assays. Upon screening all GR mutants, GR89a was identified as a potential DEET receptor. Gr89a mutants exhibited reduced oviposition avoidance, feeding avoidance, and electrophysiological responses compared to Gr32a, Gr33a, and Gr66a mutants. However, GR89a was found to modulate DEET avoidance, as demonstrated by genetic and RNA interference assays. Furthermore, we found that DEET ingestion severely affected larval and pupal development and survival, and therefore may act as an effective larvicide.

Identifiants

pubmed: 33549816
pii: S0965-1748(21)00033-3
doi: 10.1016/j.ibmb.2021.103550
pii:
doi:

Substances chimiques

Drosophila Proteins 0
Insect Repellents 0
Receptors, Cell Surface 0
DEET 134-62-3

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

103550

Informations de copyright

Copyright © 2021 Elsevier Ltd. All rights reserved.

Auteurs

Bhanu Shrestha (B)

Department of Bio & Fermentation Convergence Technology, Kookmin University, Seoul, 02707, Republic of Korea.

Youngseok Lee (Y)

Department of Bio & Fermentation Convergence Technology, Kookmin University, Seoul, 02707, Republic of Korea; Interdisciplinary Program for Bio-Health Convergence, Kookmin University, Seoul, 02707, Republic of Korea. Electronic address: ylee@kookmin.ac.kr.

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Classifications MeSH