The influence of physiological status on age prediction of Anopheles arabiensis using near infra-red spectroscopy.
BACKGROUND
Determining the age of malaria vectors is essential for evaluating the impact of interventions that reduce the survival of wild mosquito populations and for estimating changes in vectorial capacity. Near infra-red spectroscopy (NIRS) is a simple and non-destructive method that has been used to determine the age and species of Anopheles gambiae s.l. by analyzing differences in absorption spectra. The spectra are affected by biochemical changes that occur during the life of a mosquito and could be influenced by senescence and also the life history of the mosquito, i.e., mating, blood feeding and egg-laying events.


METHODS
To better understand these changes, we evaluated the influence of mosquito physiological status on NIR energy absorption spectra. Mosquitoes were kept in individual cups to permit record keeping of each individual insect's life history. Mosquitoes of the same chronological age, but at different physiological stages, were scanned and compared using cross-validations.


RESULTS
We observed a slight trend within some physiological stages that suggest older insects tend to be predicted as being physiologically more mature. It was advantageous to include mosquitoes of different chronological ages and physiological stages in calibrations, as it increases the robustness of the model resulting in better age predictions.


CONCLUSIONS
Progression through different physiological statuses of An. arabiensis influences the chronological age prediction by the NIRS. Entomologists that wish to use NIR technology to predict the age of field-caught An. gambiae s.l from their study area should use a calibration developed from their field strain using mosquitoes of diverse chronological ages and physiological stages to increase the robustness and accuracy of the predictions.
Ifakara Health Institute, Environmental Health and Ecological Sciences, P,O, Box 53, Ifakara, Tanzania. ajohn@ihi.or.tz.
Alex J
AJ
Ntamatungiro
Valeriana S
VS
Mayagaya
Stefan
S
Rieben
Sarah J
SJ
Moore
Floyd E
FE
Dowell
Marta F
MF
Maia
D000375:Aging; D000818:Animals; D000852:Anopheles / Q000737:chemistry* / Q000145:classification / Q000502:physiology*; D004772:Entomology / Q000379:methods*; D005260:Female; D008297:Male; D013057:Spectrum Analysis / Q000379:methods*