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Accurate identification of Australian mosquitoes using protein profiling

Published online by Cambridge University Press:  01 October 2018

Andrea L. Lawrence
Affiliation:
Marie Bashir Institute of Infectious Diseases and Biosecurity, University of Sydney, Sydney, New South Wales 2006, Australia Medical Entomology, NSW Health Pathology, ICPMR, Westmead Hospital, Westmead, New South Wales 2145, Australia Sydney School of Veterinary Science, Faculty of Science, University of Sydney, Sydney, New South Wales 2006, Australia
Jana Batovska
Affiliation:
Agriculture Victoria, AgriBio, Centre for AgriBioscience, Bundoora, Victoria 3083, Australia School of Applied Systems Biology, La Trobe University, Bundoora, Victoria 3083, Australia
Cameron E. Webb
Affiliation:
Marie Bashir Institute of Infectious Diseases and Biosecurity, University of Sydney, Sydney, New South Wales 2006, Australia Medical Entomology, NSW Health Pathology, ICPMR, Westmead Hospital, Westmead, New South Wales 2145, Australia
Stacey E. Lynch
Affiliation:
Agriculture Victoria, AgriBio, Centre for AgriBioscience, Bundoora, Victoria 3083, Australia
Mark J. Blacket
Affiliation:
Agriculture Victoria, AgriBio, Centre for AgriBioscience, Bundoora, Victoria 3083, Australia
Jan Šlapeta
Affiliation:
Sydney School of Veterinary Science, Faculty of Science, University of Sydney, Sydney, New South Wales 2006, Australia
Philippe Parola
Affiliation:
Aix Marseille University, IRD, AP-HM, SSA, VITROME, IHU-Méditerranée Infection, 19-21 Boulevard Jean Moulin 13005 Marseille, France
Maureen Laroche
Affiliation:
Aix Marseille University, IRD, AP-HM, SSA, VITROME, IHU-Méditerranée Infection, 19-21 Boulevard Jean Moulin 13005 Marseille, France
Corresponding

Abstract

Australian mosquito species significantly impact human health through nuisance biting and the transmission of endemic and exotic pathogens. Surveillance programmes designed to provide an early warning of mosquito-borne disease risk require reliable identification of mosquitoes. This study aimed to investigate the viability of Matrix-Assisted Laser Desorption/Ionization–Time-of-Flight Mass Spectrometry (MALDI-TOF MS) as a rapid and inexpensive approach to the identification of Australian mosquitoes and was validated using a three-step taxonomic approach. A total of 300 mosquitoes representing 21 species were collected from south-eastern New South Wales and morphologically identified. The legs from the mosquitoes were removed and subjected to MALDI-TOF MS analysis. Fifty-eight mosquitoes were sequenced at the cytochrome c oxidase subunit I (cox1) gene region and genetic relationships were analysed. We create the first MALDI-TOF MS spectra database of Australian mosquito species including 19 species. We clearly demonstrate the accuracy of MALDI-TOF MS for identification of Australian mosquitoes. It is especially useful for assessing gaps in the effectiveness of DNA barcoding by differentiating closely related taxa. Indeed, cox1 DNA barcoding was not able to differentiate members of the Culex pipiens group, Cx. quinquefasciatus and Cx. pipiens molestus, but these specimens were correctly identified using MALDI-TOF MS.

Type
Research Article
Copyright
Copyright © Cambridge University Press 2018 

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