Molecular Characterization and Genotype Distribution of Thioester-containing Protein 1 Gene, A Key Regulator of Malaria Transmission in An. Gambiae Mosquitoes in Western Kenya
Abstract BackgroundEvolutionary pressures lead to the selection of efficient malaria vectors either resistant or susceptible to Plasmodiumparasites.These forcesmay elevate the introduction of new species genotypes that adapt to new breeding habitats which could have serious implications on malaria transmission.Thioester-containing protein 1 (TEP1) of Anopheles gambiaeplays an important role in innate immune defenses against parasites. This study aims to characterize the distribution pattern of TEP1 polymorphisms determining vector competence and subsequently malaria transmission in western Kenya. MethodsAnopheles gambiaeadult and larvae were collected using pyrethrum spray catches (PSC) and plastic dippers respectivelyfrom Homa Bay, Kakamega, Bungoma, and Kisumu countiesbetween 2017 and 2020.Collected adults and larvae reared to the adult stage were morphologically identified and then identified to sibling species by PCR.TEP1 alleles were determined using restriction fragment length polymorphisms-polymerase chain reaction (RFLP-PCR) and to validate the TEP1 genotyping results, a representative sample of alleles was sequenced.ResultsTwo TEP1 alleles (TEP1*S1 and TEP1*R2)and three corresponding genotypes (*S1/S1, *R2/S1, and *R2/R2)were identified. TEP1*S1 and TEP1*R2 with their corresponding genotypes, homozygous *S1/S1 and heterozygous *R2/S1 were widely distributed across all sites with allele frequencies of approximately 80% and 20%, respectively bothin An. gambiaeand An. arabiensis. There was no significant difference detected among the population and between the two mosquito species in TEP1 allele frequency and genotype frequency. The overall low levels in population structure (FST= 0.019) across all sites corresponded to an effective migration index (Nm= 12.571) and lowNei’s genetic distance values (<0.500) among the subpopulation.The comparative fixation index values revealed minimal genetic differentiation between speciesand high levels of gene flow among populations.ConclusionThere is a low genetic diversity and population structure in western Kenya. TEP1* R2 and TEP1*S1 were the most common alleles in both species which may have been maintained through generations in time, However, the TEP1*R2 allele was in low frequencies and may be used to estimatemalaria prevalence. Continued surveillance of the distribution of TEP1 is essential for monitoring the population dynamics of local vectors and their implications on malaria transmission and hence designing targeted vector interventions.