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Neurogenetic identification of mosquito sensory neurons

Anopheles mosquitoes, as vectors for the malaria parasite, are a global threat to human health. To find and bite a human, they utilize neurons within their sensory appendages. However, the identity and quantification of sensory appendage neurons are lacking. Here we use a neurogenetic approach to la...

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Autores principales: Konopka, Joanna K., Task, Darya, Poinapen, Danny, Potter, Christopher J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10172775/
https://www.ncbi.nlm.nih.gov/pubmed/37182106
http://dx.doi.org/10.1016/j.isci.2023.106690
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author Konopka, Joanna K.
Task, Darya
Poinapen, Danny
Potter, Christopher J.
author_facet Konopka, Joanna K.
Task, Darya
Poinapen, Danny
Potter, Christopher J.
author_sort Konopka, Joanna K.
collection PubMed
description Anopheles mosquitoes, as vectors for the malaria parasite, are a global threat to human health. To find and bite a human, they utilize neurons within their sensory appendages. However, the identity and quantification of sensory appendage neurons are lacking. Here we use a neurogenetic approach to label all neurons in Anopheles coluzzii mosquitoes. We utilize the homology assisted CRISPR knock-in (HACK) approach to generate a T2A-QF2(w) knock-in of the synaptic gene bruchpilot. We use a membrane-targeted GFP reporter to visualize the neurons in the brain and to quantify neurons in all major chemosensory appendages (antenna, maxillary palp, labella, tarsi, and ovipositor). By comparing labeling of brp>GFP and Orco>GFP mosquitoes, we predict the extent of neurons expressing ionotropic receptors (IRs) or other chemosensory receptors. This work introduces a valuable genetic tool for the functional analysis of Anopheles mosquito neurobiology and initiates characterization of the sensory neurons that guide mosquito behavior.
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spelling pubmed-101727752023-05-12 Neurogenetic identification of mosquito sensory neurons Konopka, Joanna K. Task, Darya Poinapen, Danny Potter, Christopher J. iScience Article Anopheles mosquitoes, as vectors for the malaria parasite, are a global threat to human health. To find and bite a human, they utilize neurons within their sensory appendages. However, the identity and quantification of sensory appendage neurons are lacking. Here we use a neurogenetic approach to label all neurons in Anopheles coluzzii mosquitoes. We utilize the homology assisted CRISPR knock-in (HACK) approach to generate a T2A-QF2(w) knock-in of the synaptic gene bruchpilot. We use a membrane-targeted GFP reporter to visualize the neurons in the brain and to quantify neurons in all major chemosensory appendages (antenna, maxillary palp, labella, tarsi, and ovipositor). By comparing labeling of brp>GFP and Orco>GFP mosquitoes, we predict the extent of neurons expressing ionotropic receptors (IRs) or other chemosensory receptors. This work introduces a valuable genetic tool for the functional analysis of Anopheles mosquito neurobiology and initiates characterization of the sensory neurons that guide mosquito behavior. Elsevier 2023-04-18 /pmc/articles/PMC10172775/ /pubmed/37182106 http://dx.doi.org/10.1016/j.isci.2023.106690 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Konopka, Joanna K.
Task, Darya
Poinapen, Danny
Potter, Christopher J.
Neurogenetic identification of mosquito sensory neurons
title Neurogenetic identification of mosquito sensory neurons
title_full Neurogenetic identification of mosquito sensory neurons
title_fullStr Neurogenetic identification of mosquito sensory neurons
title_full_unstemmed Neurogenetic identification of mosquito sensory neurons
title_short Neurogenetic identification of mosquito sensory neurons
title_sort neurogenetic identification of mosquito sensory neurons
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10172775/
https://www.ncbi.nlm.nih.gov/pubmed/37182106
http://dx.doi.org/10.1016/j.isci.2023.106690
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