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Development of insecticide resistance (IR) in mosquito vectors is a primary huddle to malaria control program. Since IR has genetic basis, and genes constantly evolve with response to environment for adaptation to organisms, it is important to know evolutionary pattern of genes conferring IR in malaria vectors. The mosquito Anopheles minimus is a major malaria vector of the Southeast (SE) Asia and India and is susceptible to all insecticides, and thus of interest to know if natural selection has shaped variations in the gene conferring IR. If not, the DNA fragment of such a gene could be used to infer population structure and demography of this species of malaria vector. We have therefore sequenced a ~569 bp DNA segment of the NADPH cytochrome P450 reductase (CPR) gene (widely known to confer IR) in 123 individuals of An. minimus collected in 10 different locations (eight Indian, one Thai and one Vietnamese). Two Indian population samples were completely mono-morphic in the CPR gene. In general, low genetic diversity was found with no evidence of natural selection in this gene. The data were therefore analyzed to infer population structure and demography of this species. The 10 populations could be genetically differentiated into four different groups; the samples from Thailand and Vietnam contained high nucleotide diversity. All the 10 populations conform to demographic equilibrium model with signature of past population expansion in four populations. The results in general indicate that the An. minimus mosquitoes sampled in the two SE Asian localities contain several genetic characteristics of being parts of the ancestral population.

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The present study explicitly evaluated the genetic structure of Aedes aegypti Linn, the vector of dengue, chikungunya, and Zika viruses, across different geo-climatic zones of India and also elucidated the impact of ecological and topographic factors. After data quality checks and removal of samples with excess null alleles, the final analysis was performed on 589 individual samples using 10 microsatellite markers. Overall findings of this study suggested that, Ae. aegypti populations are highly diverse with moderate genetic differentiation between them. Around half of the populations (13 out of 22) formed two genetic clusters roughly associated with geographical regions. The remaining nine populations shared genetic ancestries with either one or both of the clusters. A significant relationship between genetic and geographic distance was observed, indicating isolation by distance. However, spatial autocorrelation analysis predicted the signs of long-distance admixture. Post-hoc environmental association analysis showed that 52.7% of genetic variations were explained by a combination of climatic and topographic factors, with latitude and temperature being the best predictors. This study indicated that though overall genetic differentiation among Ae. aegypti populations across India is moderate (Fst = 0.099), the differences between the populations are developing due to the factors associated with geographic locations. This study improves the understanding of the Ae. aegypti population structure in India that may assist in predicting mosquito movements across the geo-climatic zones, enabling effective control strategies and assessing the risk of disease transmission.

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