Field validation of a transcriptional assay for the prediction of age of uncaged Aedes aegypti mosquitoes in Northern Australia.

<h4>Background</h4>New strategies to eliminate dengue have been proposed that specifically target older Aedes aegypti mosquitoes, the proportion of the vector population that is potentially capable of transmitting dengue viruses. Evaluation of these strategies will require accurate and h...

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Main Authors: Leon E Hugo, Peter E Cook, Petrina H Johnson, Luke P Rapley, Brian H Kay, Peter A Ryan, Scott A Ritchie, Scott L O'Neill
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2010-02-01
Series:PLoS Neglected Tropical Diseases
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/20186322/?tool=EBI
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author Leon E Hugo
Peter E Cook
Petrina H Johnson
Luke P Rapley
Brian H Kay
Peter A Ryan
Scott A Ritchie
Scott L O'Neill
author_facet Leon E Hugo
Peter E Cook
Petrina H Johnson
Luke P Rapley
Brian H Kay
Peter A Ryan
Scott A Ritchie
Scott L O'Neill
author_sort Leon E Hugo
collection DOAJ
description <h4>Background</h4>New strategies to eliminate dengue have been proposed that specifically target older Aedes aegypti mosquitoes, the proportion of the vector population that is potentially capable of transmitting dengue viruses. Evaluation of these strategies will require accurate and high-throughput methods of predicting mosquito age. We previously developed an age prediction assay for individual Ae. aegypti females based on the transcriptional profiles of a selection of age responsive genes. Here we conducted field testing of the method on Ae. aegypti that were entirely uncaged and free to engage in natural behavior.<h4>Methodology/principal findings</h4>We produced "free-range" test specimens by releasing 8007 adult Ae. aegypti inside and around an isolated homestead in north Queensland, Australia, and recapturing females at two day intervals. We applied a TaqMan probe-based assay design that enabled high-throughput quantitative RT-PCR of four transcripts from three age-responsive genes and a reference gene. An age prediction model was calibrated on mosquitoes maintained in small sentinel cages, in which 68.8% of the variance in gene transcription measures was explained by age. The model was then used to predict the ages of the free-range females. The relationship between the predicted and actual ages achieved an R(2) value of 0.62 for predictions of females up to 29 days old. Transcriptional profiles and age predictions were not affected by physiological variation associated with the blood feeding/egg development cycle and we show that the age grading method could be applied to differentiate between two populations of mosquitoes having a two-fold difference in mean life expectancy.<h4>Conclusions/significance</h4>The transcriptional profiles of age responsive genes facilitated age estimates of near-wild Ae. aegypti females. Our age prediction assay for Ae. aegypti provides a useful tool for the evaluation of mosquito control interventions against dengue where mosquito survivorship or lifespan reduction are crucial to their success. The approximate cost of the method was US$7.50 per mosquito and 60 mosquitoes could be processed in 3 days. The assay is based on conserved genes and modified versions are likely to support similar investigations of several important mosquito and other disease vectors.
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spelling doaj.art-204d656e7e7a46b88bb6aaa98e12df2e2022-12-21T19:53:44ZengPublic Library of Science (PLoS)PLoS Neglected Tropical Diseases1935-27271935-27352010-02-0142e60810.1371/journal.pntd.0000608Field validation of a transcriptional assay for the prediction of age of uncaged Aedes aegypti mosquitoes in Northern Australia.Leon E HugoPeter E CookPetrina H JohnsonLuke P RapleyBrian H KayPeter A RyanScott A RitchieScott L O'Neill<h4>Background</h4>New strategies to eliminate dengue have been proposed that specifically target older Aedes aegypti mosquitoes, the proportion of the vector population that is potentially capable of transmitting dengue viruses. Evaluation of these strategies will require accurate and high-throughput methods of predicting mosquito age. We previously developed an age prediction assay for individual Ae. aegypti females based on the transcriptional profiles of a selection of age responsive genes. Here we conducted field testing of the method on Ae. aegypti that were entirely uncaged and free to engage in natural behavior.<h4>Methodology/principal findings</h4>We produced "free-range" test specimens by releasing 8007 adult Ae. aegypti inside and around an isolated homestead in north Queensland, Australia, and recapturing females at two day intervals. We applied a TaqMan probe-based assay design that enabled high-throughput quantitative RT-PCR of four transcripts from three age-responsive genes and a reference gene. An age prediction model was calibrated on mosquitoes maintained in small sentinel cages, in which 68.8% of the variance in gene transcription measures was explained by age. The model was then used to predict the ages of the free-range females. The relationship between the predicted and actual ages achieved an R(2) value of 0.62 for predictions of females up to 29 days old. Transcriptional profiles and age predictions were not affected by physiological variation associated with the blood feeding/egg development cycle and we show that the age grading method could be applied to differentiate between two populations of mosquitoes having a two-fold difference in mean life expectancy.<h4>Conclusions/significance</h4>The transcriptional profiles of age responsive genes facilitated age estimates of near-wild Ae. aegypti females. Our age prediction assay for Ae. aegypti provides a useful tool for the evaluation of mosquito control interventions against dengue where mosquito survivorship or lifespan reduction are crucial to their success. The approximate cost of the method was US$7.50 per mosquito and 60 mosquitoes could be processed in 3 days. The assay is based on conserved genes and modified versions are likely to support similar investigations of several important mosquito and other disease vectors.https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/20186322/?tool=EBI
spellingShingle Leon E Hugo
Peter E Cook
Petrina H Johnson
Luke P Rapley
Brian H Kay
Peter A Ryan
Scott A Ritchie
Scott L O'Neill
Field validation of a transcriptional assay for the prediction of age of uncaged Aedes aegypti mosquitoes in Northern Australia.
PLoS Neglected Tropical Diseases
title Field validation of a transcriptional assay for the prediction of age of uncaged Aedes aegypti mosquitoes in Northern Australia.
title_full Field validation of a transcriptional assay for the prediction of age of uncaged Aedes aegypti mosquitoes in Northern Australia.
title_fullStr Field validation of a transcriptional assay for the prediction of age of uncaged Aedes aegypti mosquitoes in Northern Australia.
title_full_unstemmed Field validation of a transcriptional assay for the prediction of age of uncaged Aedes aegypti mosquitoes in Northern Australia.
title_short Field validation of a transcriptional assay for the prediction of age of uncaged Aedes aegypti mosquitoes in Northern Australia.
title_sort field validation of a transcriptional assay for the prediction of age of uncaged aedes aegypti mosquitoes in northern australia
url https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/20186322/?tool=EBI
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