Automated phenotyping of mosquito larvae enables high-throughput screening for novel larvicides and offers potential for smartphone-based detection of larval insecticide resistance.

Pyrethroid-impregnated nets have contributed significantly to halving the burden of malaria but resistance threatens their future efficacy and the pipeline of new insecticides is short. Here we report that an invertebrate automated phenotyping platform (INVAPP), combined with the algorithm Paragon,...

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Published in:PLOS Neglected Tropical Diseases
Main Authors: Steven D Buckingham, Frederick A Partridge, Beth C Poulton, Benjamin S Miller, Rachel A McKendry, Gareth J Lycett, David B Sattelle
Format: Article in Journal/Newspaper
Language:English
Published: Public Library of Science (PLoS) 2021
Subjects:
Online Access:https://doi.org/10.1371/journal.pntd.0008639
https://doaj.org/article/646eab1af88341da972b15d8a84768ef
id ftdoajarticles:oai:doaj.org/article:646eab1af88341da972b15d8a84768ef
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spelling ftdoajarticles:oai:doaj.org/article:646eab1af88341da972b15d8a84768ef 2023-05-15T15:08:06+02:00 Automated phenotyping of mosquito larvae enables high-throughput screening for novel larvicides and offers potential for smartphone-based detection of larval insecticide resistance. Steven D Buckingham Frederick A Partridge Beth C Poulton Benjamin S Miller Rachel A McKendry Gareth J Lycett David B Sattelle 2021-06-01T00:00:00Z https://doi.org/10.1371/journal.pntd.0008639 https://doaj.org/article/646eab1af88341da972b15d8a84768ef EN eng Public Library of Science (PLoS) https://doi.org/10.1371/journal.pntd.0008639 https://doaj.org/toc/1935-2727 https://doaj.org/toc/1935-2735 1935-2727 1935-2735 doi:10.1371/journal.pntd.0008639 https://doaj.org/article/646eab1af88341da972b15d8a84768ef PLoS Neglected Tropical Diseases, Vol 15, Iss 6, p e0008639 (2021) Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 article 2021 ftdoajarticles https://doi.org/10.1371/journal.pntd.0008639 2022-12-31T07:04:16Z Pyrethroid-impregnated nets have contributed significantly to halving the burden of malaria but resistance threatens their future efficacy and the pipeline of new insecticides is short. Here we report that an invertebrate automated phenotyping platform (INVAPP), combined with the algorithm Paragon, provides a robust system for measuring larval motility in Anopheles gambiae (and An. coluzzi) as well as Aedes aegypti with the capacity for high-throughput screening for new larvicides. By this means, we reliably quantified both time- and concentration-dependent actions of chemical insecticides faster than using the WHO standard larval assay. We illustrate the effectiveness of the system using an established larvicide (temephos) and demonstrate its capacity for library-scale chemical screening using the Medicines for Malaria Venture (MMV) Pathogen Box library. As a proof-of-principle, this library screen identified a compound, subsequently confirmed to be tolfenpyrad, as an effective larvicide. We have also used the INVAPP / Paragon system to compare responses in larvae derived from WHO classified deltamethrin resistant and sensitive mosquitoes. We show how this approach to monitoring larval response to insecticides can be adapted for use with a smartphone camera application and therefore has potential for further development as a simple portable field-assay with associated real-time, geo-located information to identify hotspots. Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic PLOS Neglected Tropical Diseases 15 6 e0008639
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Arctic medicine. Tropical medicine
RC955-962
Public aspects of medicine
RA1-1270
spellingShingle Arctic medicine. Tropical medicine
RC955-962
Public aspects of medicine
RA1-1270
Steven D Buckingham
Frederick A Partridge
Beth C Poulton
Benjamin S Miller
Rachel A McKendry
Gareth J Lycett
David B Sattelle
Automated phenotyping of mosquito larvae enables high-throughput screening for novel larvicides and offers potential for smartphone-based detection of larval insecticide resistance.
topic_facet Arctic medicine. Tropical medicine
RC955-962
Public aspects of medicine
RA1-1270
description Pyrethroid-impregnated nets have contributed significantly to halving the burden of malaria but resistance threatens their future efficacy and the pipeline of new insecticides is short. Here we report that an invertebrate automated phenotyping platform (INVAPP), combined with the algorithm Paragon, provides a robust system for measuring larval motility in Anopheles gambiae (and An. coluzzi) as well as Aedes aegypti with the capacity for high-throughput screening for new larvicides. By this means, we reliably quantified both time- and concentration-dependent actions of chemical insecticides faster than using the WHO standard larval assay. We illustrate the effectiveness of the system using an established larvicide (temephos) and demonstrate its capacity for library-scale chemical screening using the Medicines for Malaria Venture (MMV) Pathogen Box library. As a proof-of-principle, this library screen identified a compound, subsequently confirmed to be tolfenpyrad, as an effective larvicide. We have also used the INVAPP / Paragon system to compare responses in larvae derived from WHO classified deltamethrin resistant and sensitive mosquitoes. We show how this approach to monitoring larval response to insecticides can be adapted for use with a smartphone camera application and therefore has potential for further development as a simple portable field-assay with associated real-time, geo-located information to identify hotspots.
format Article in Journal/Newspaper
author Steven D Buckingham
Frederick A Partridge
Beth C Poulton
Benjamin S Miller
Rachel A McKendry
Gareth J Lycett
David B Sattelle
author_facet Steven D Buckingham
Frederick A Partridge
Beth C Poulton
Benjamin S Miller
Rachel A McKendry
Gareth J Lycett
David B Sattelle
author_sort Steven D Buckingham
title Automated phenotyping of mosquito larvae enables high-throughput screening for novel larvicides and offers potential for smartphone-based detection of larval insecticide resistance.
title_short Automated phenotyping of mosquito larvae enables high-throughput screening for novel larvicides and offers potential for smartphone-based detection of larval insecticide resistance.
title_full Automated phenotyping of mosquito larvae enables high-throughput screening for novel larvicides and offers potential for smartphone-based detection of larval insecticide resistance.
title_fullStr Automated phenotyping of mosquito larvae enables high-throughput screening for novel larvicides and offers potential for smartphone-based detection of larval insecticide resistance.
title_full_unstemmed Automated phenotyping of mosquito larvae enables high-throughput screening for novel larvicides and offers potential for smartphone-based detection of larval insecticide resistance.
title_sort automated phenotyping of mosquito larvae enables high-throughput screening for novel larvicides and offers potential for smartphone-based detection of larval insecticide resistance.
publisher Public Library of Science (PLoS)
publishDate 2021
url https://doi.org/10.1371/journal.pntd.0008639
https://doaj.org/article/646eab1af88341da972b15d8a84768ef
geographic Arctic
geographic_facet Arctic
genre Arctic
genre_facet Arctic
op_source PLoS Neglected Tropical Diseases, Vol 15, Iss 6, p e0008639 (2021)
op_relation https://doi.org/10.1371/journal.pntd.0008639
https://doaj.org/toc/1935-2727
https://doaj.org/toc/1935-2735
1935-2727
1935-2735
doi:10.1371/journal.pntd.0008639
https://doaj.org/article/646eab1af88341da972b15d8a84768ef
op_doi https://doi.org/10.1371/journal.pntd.0008639
container_title PLOS Neglected Tropical Diseases
container_volume 15
container_issue 6
container_start_page e0008639
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