Detection of Plasmodium falciparum infected Anopheles gambiae using near-infrared spectroscopy

Background: Large-scale surveillance of mosquito populations is crucial to assess the intensity of vector-borne disease transmission and the impact of control interventions. However, there is a lack of accurate, cost-effective and high-throughput tools for mass-screening of vectors. Methods: A total of 750 Anopheles gambiae (Keele strain) mosquitoes were fed Plasmodium falciparum NF54 gametocytes through standard membrane feeding assay (SMFA) and afterwards maintained in insectary conditions to allow for oocyst (8 days) and sporozoite development (14 days). Thereupon, each mosquito was scanned using near infra-red spectroscopy (NIRS) and processed by quantitative polymerase chain reaction (qPCR) to determine the presence of infection and infection load. The spectra collected were randomly assigned to either a training dataset, used to develop calibrations for predicting oocyst- or sporozoite-infection through partial least square regressions (PLS); or to a test dataset, used for validating the calibration’s prediction accuracy. Results: NIRS detected oocyst- and sporozoite-stage P. falciparum infections with 88% and 95% accuracy, respectively. This study demonstrates proof-of-concept that NIRS is capable of rapidly identifying laboratory strains of human malaria infection in African mosquito vectors. Conclusions: Accurate, low-cost, reagent-free screening of mosquito populations enabled by NIRS could revolutionize surveillance and elimination strategies for the most important human malaria parasite in its primary African vector species. Further research is needed to evaluate how the method performs in the field following adjustments in the training datasets to include data from wild-caught infected and uninfected mosquitoes

Detection of Plasmodium falciparum infected Anopheles gambiae using near‑infrared spectroscopy

BACKGROUND: Large-scale surveillance of mosquito populations is crucial to assess the intensity of vector-borne disease transmission and the impact of control interventions. However, there is a lack of accurate, cost-effective and high-throughput tools for mass-screening of vectors. METHODS: A total of 750 Anopheles gambiae (Keele strain) mosquitoes were fed Plasmodium falciparum NF54 gametocytes through standard membrane feeding assay (SMFA) and afterwards maintained in insectary conditions to allow for oocyst (8 days) and sporozoite development (14 days). Thereupon, each mosquito was scanned using near infra-red spectroscopy (NIRS) and processed by quantitative polymerase chain reaction (qPCR) to determine the presence of infection and infection load. The spectra collected were randomly assigned to either a training dataset, used to develop calibrations for predicting oocyst- or sporozoite-infection through partial least square regressions (PLS); or to a test dataset, used for validating the calibration's prediction accuracy. RESULTS: NIRS detected oocyst- and sporozoite-stage P. falciparum infections with 88% and 95% accuracy, respectively. This study demonstrates proof-of-concept that NIRS is capable of rapidly identifying laboratory strains of human malaria infection in African mosquito vectors. CONCLUSIONS: Accurate, low-cost, reagent-free screening of mosquito populations enabled by NIRS could revolutionize surveillance and elimination strategies for the most important human malaria parasite in its primary African vector species. Further research is needed to evaluate how the method performs in the field following adjustments in the training datasets to include data from wild-caught infected and uninfected mosquitoes

A chromosomal reference genome sequence for the malaria mosquito Anopheles gambiae, Giles, 1902, Ifakara strain

We present a genome assembly from an individual female Anopheles gambiae (the malaria mosquito; Arthropoda; Insecta; Diptera; Culicidae), Ifakara strain. The genome sequence is 264 megabases in span. Most of the assembly is scaffolded into three chromosomal pseudomolecules with the X sex chromosome assembled. The complete mitochondrial genome was also assembled and is 15.4 kilobases in length

Correction to: Detection of Plasmodium falciparum infected Anopheles gambiae using near-infrared spectroscopy

Following publication of the original article [1], it was flagged that the name of the author Lisa Ranford-Cartwright had been (incorrectly) given as ‘Lisa-Ranford Cartwright

Replication Data for: Near infrared spectra and calibration for detection of malaria infection in Anopheles gambiae (Keele strain)

Anopheles gambiae (Keele Strain) mosquitoes were infected in the lab with cultured Plasmodium falciparum gametocytes (PfN54) to generate oocyst and sporozoite infected vectors. Controls, uninfected mosquitoes, were generated by feeding mosquitoes on the same blood after gametogenesis had occurred which was triggered by dropping the temperature in the glass feeders to below 30 degrees Celsius. After feeding, mosquitoes were kept for 7 and 14 days to allow parasite development after which each individual mosquito was scanned with near infrared spectroscopy (NIRS) and stored at -20 until processed by qPCR (quantitative polymerase chain reaction) for confirmation of infection and quantification of parasite load. The data shared is composed of all the spectra that were collected (in .spc format for GRAMS IQ software) labeled with a unique identifier which links to the STATA files where the mean number of parasite genomes and age for each individual mosquito are listed. The files used to generate the calibration through partial least square (PLS) regression on GRAMS IQ have also been shared (.tfdx) along with the calibration file (.cal) for uploading on IQ Predict software. We have also shared the prediction outputs of the independent samples that were predicted with the calibrations here developed.</p

A chromosomal reference genome sequence for the malaria mosquito, Anopheles moucheti, Evans, 1925

International audienceWe present a genome assembly from an individual male Anopheles moucheti (the malaria mosquito; Arthropoda; Insecta; Diptera; Culicidae), from a wild population in Cameroon. The genome sequence is 271 megabases in span. The majority of the assembly is scaffolded into three chromosomal pseudomolecules with the X sex chromosome assembled. The complete mitochondrial genome was also assembled and is 15.5 kilobases in length