A gene expression panel for estimating age in males and females of the sleeping sickness vector Glossina morsitans.

Many vector-borne diseases are controlled by methods that kill the insect vectors responsible for disease transmission. Recording the age structure of vector populations provides information on mortality rates and vectorial capacity, and should form part of the detailed monitoring that occurs in the...

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Autores principales:	Eric R Lucas, Alistair C Darby, Stephen J Torr, Martin J Donnelly
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270
Acceso en línea:	https://doaj.org/article/73aecccf53c64d569ce522066f357c3a
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spelling	oai:doaj.org-article:73aecccf53c64d569ce522066f357c3a2021-12-02T20:24:02ZA gene expression panel for estimating age in males and females of the sleeping sickness vector Glossina morsitans.1935-27271935-273510.1371/journal.pntd.0009797https://doaj.org/article/73aecccf53c64d569ce522066f357c3a2021-09-01T00:00:00Zhttps://doi.org/10.1371/journal.pntd.0009797https://doaj.org/toc/1935-2727https://doaj.org/toc/1935-2735Many vector-borne diseases are controlled by methods that kill the insect vectors responsible for disease transmission. Recording the age structure of vector populations provides information on mortality rates and vectorial capacity, and should form part of the detailed monitoring that occurs in the wake of control programmes, yet tools for obtaining estimates of individual age remain limited. We investigate the potential of using markers of gene expression to predict age in tsetse flies, which are the vectors of deadly and economically damaging African trypanosomiases. We use RNAseq to identify candidate expression markers, and test these markers using qPCR in laboratory-reared Glossina morsitans morsitans of known age. Measuring the expression of six genes was sufficient to obtain a prediction of age with root mean squared error of less than 8 days, while just two genes were sufficient to classify flies into age categories of ≤15 and >15 days old. Further testing of these markers in field-caught samples and in other species will determine the accuracy of these markers in the field.Eric R LucasAlistair C DarbyStephen J TorrMartin J DonnellyPublic Library of Science (PLoS)articleArctic medicine. Tropical medicineRC955-962Public aspects of medicineRA1-1270ENPLoS Neglected Tropical Diseases, Vol 15, Iss 9, p e0009797 (2021)
institution	DOAJ
collection	DOAJ
language	EN
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 Eric R Lucas Alistair C Darby Stephen J Torr Martin J Donnelly A gene expression panel for estimating age in males and females of the sleeping sickness vector Glossina morsitans.
description	Many vector-borne diseases are controlled by methods that kill the insect vectors responsible for disease transmission. Recording the age structure of vector populations provides information on mortality rates and vectorial capacity, and should form part of the detailed monitoring that occurs in the wake of control programmes, yet tools for obtaining estimates of individual age remain limited. We investigate the potential of using markers of gene expression to predict age in tsetse flies, which are the vectors of deadly and economically damaging African trypanosomiases. We use RNAseq to identify candidate expression markers, and test these markers using qPCR in laboratory-reared Glossina morsitans morsitans of known age. Measuring the expression of six genes was sufficient to obtain a prediction of age with root mean squared error of less than 8 days, while just two genes were sufficient to classify flies into age categories of ≤15 and >15 days old. Further testing of these markers in field-caught samples and in other species will determine the accuracy of these markers in the field.
format	article
author	Eric R Lucas Alistair C Darby Stephen J Torr Martin J Donnelly
author_facet	Eric R Lucas Alistair C Darby Stephen J Torr Martin J Donnelly
author_sort	Eric R Lucas
title	A gene expression panel for estimating age in males and females of the sleeping sickness vector Glossina morsitans.
title_short	A gene expression panel for estimating age in males and females of the sleeping sickness vector Glossina morsitans.
title_full	A gene expression panel for estimating age in males and females of the sleeping sickness vector Glossina morsitans.
title_fullStr	A gene expression panel for estimating age in males and females of the sleeping sickness vector Glossina morsitans.
title_full_unstemmed	A gene expression panel for estimating age in males and females of the sleeping sickness vector Glossina morsitans.
title_sort	gene expression panel for estimating age in males and females of the sleeping sickness vector glossina morsitans.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/73aecccf53c64d569ce522066f357c3a
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A gene expression panel for estimating age in males and females of the sleeping sickness vector Glossina morsitans.

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