Mayagaya, Valeriana and Ntamatungiro, Alex and Moore, Sarah and Wirtz, Robert and Dowell, Floyd and Maia, Marta. (2015) Evaluating preservation methods for identifying Anopheles gambiae s.s. and Anopheles arabiensis complex mosquitoes species using near infra-red spectroscopy. Parasites and Vectors, 8 (60).
|
PDF
- Published Version
Available under License CC BY (Attribution). 590Kb |
Official URL: http://edoc.unibas.ch/dok/A6357880
Downloads: Statistics Overview
Abstract
BackgroundNear-infrared spectroscopy (NIRS) has been successfully used on fresh and RNAlater®-preserved members of the Anopheles gambiae complex to identify sibling species and age. No preservation methods other than using RNAlater® have been tested to preserve mosquitoes for species identification using NIRS. However, RNAlater® is not the most practical preservative for field settings because it is expensive, requires basic laboratory conditions for storage and is not widely available in sub-Saharan Africa. The aim of this study was to test several cheaper and more field-friendly preservation methods for identifying sibling species of the An. gambiae complex using NIRS.MethodsIn this study we describe the use of NIRS to identify sibling species of preserved An. gambiae s. s. and An. arabiensis. Mosquitoes of each species were placed in sample tubes and preserved using one of the following preservation methods: (i) refrigeration at 4°C, (ii) freezing at ¿20°C, (iii) drying over a silica-gel desiccant, (iv) submersion in RNAlater® at room temperature, (v) submersion in RNAlater® at 4°C, and (vi) submersion in RNAlater® at ¿20°C. Mosquitoes were preserved for 1, 4, 10, 32 or 50 weeks before they were scanned.ResultsStorage at 4°C was the only preservation method that, up to 32 weeks, did not result in significantly lower predicted values than those obtained from fresh insects. After 50 weeks, however, refrigerated samples did not give meaningful results. When storing for 50 weeks, desiccating samples over silica gel was the best preservation method, with a partial least squares regression cross-validation of <80%. Predictive data values were analyzed using a generalized linear model.ConclusionNIRS can be used to identify species of desiccated Anopheles gambiae s.s. and Anopheles arabiensis for up to 50 weeks of storage with more than 80% accuracy.
Faculties and Departments: | 09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH) 09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH) > Department of Epidemiology and Public Health (EPH) > Health Interventions > Malaria Interventions (Lengeler) |
---|---|
UniBasel Contributors: | Moore, Sarah |
Item Type: | Article, refereed |
Article Subtype: | Research Article |
Publisher: | BioMed Central |
ISSN: | 1756-3305 |
Note: | Publication type according to Uni Basel Research Database: Journal article |
Language: | English |
Identification Number: |
|
edoc DOI: | |
Last Modified: | 15 Nov 2016 15:39 |
Deposited On: | 10 Apr 2015 09:13 |
Repository Staff Only: item control page