JMR_2024v14n2

Journal of Mosquito Research 2024, Vol.14, No.2, 76-86 http://emtoscipublisher.com/index.php/jmr 77 1 Genetic Bases of Mosquito Vector Competence 1.1 Genetic traits Genetic traits play a crucial role in determining mosquito susceptibility to pathogen infection and their subsequent transmission capabilities. For instance, the study by Raddi et al. (2020) highlights the importance of hemocytes in mosquito immunity, identifying a new hemocyte type, the megacyte, which is involved in immune response and differentiation during immune priming. This suggests that specific genetic traits related to immune cell function can influence vector competence. Additionally, the genomic amplification of carboxylesterase genes in Aedes aegypti, as described by Cattel et al. (2020), confers resistance to organophosphate insecticides, which indirectly affects vector competence by enabling mosquitoes to survive in environments with high insecticide use. 1.2 Molecular genetics Molecular genetics studies have explored various genetic modifications in mosquitoes that affect vector competence. The development of gene-drive systems, such as the Cas9/gRNA-mediated gene-drive rescue system in Anopheles stephensi, has shown promise in population modification to reduce vector competence (Adolfi et al., 2020) (Figure 1). This system effectively integrates into the mosquito genome and eliminates non-functional resistant alleles, ensuring a high prevalence of the gene-drive in the population. Furthermore, the study on DNA methylation in Anopheles albimanus by Gómez-Díaz et al. (2020) demonstrates that epigenetic modifications can modulate the immune response against Plasmodium berghei, suggesting that targeted epigenetic interventions could be a potential strategy for controlling vector competence. 1.3 Genomic approaches Genomic tools such as CRISPR/Cas9, RNA interference (RNAi), and transgenic technologies have been instrumental in studying and manipulating mosquito genetics. The CRISPR/Cas9 system has been utilized to create gene-drive mechanisms that can spread desired genetic traits through mosquito populations, as demonstrated in Anopheles stephensi (Adolfi et al., 2020). RNAi has also shown potential in vector control, with advances in oral RNAi delivery systems enabling the functional characterization of mosquito genes and the development of RNAi-based pesticides. Additionally, the optimization of physical genome mapping techniques, as described by Masri et al. (2021), has improved our ability to create high-quality genome assemblies, facilitating the identification of genes responsible for vector competence and other epidemiological traits. In conclusion, the integration of genetic traits, molecular genetics, and advanced genomic approaches provides a comprehensive understanding of mosquito vector competence and pathogen transmission. These insights are crucial for developing innovative strategies to control mosquito populations and reduce the transmission of vector-borne diseases. 2 Biochemical and Physiological Mechanisms of Pathogen Transmission 2.1 Pathogen lifecycle The lifecycle of pathogens within mosquito vectors involves several critical stages where genomic factors play a significant role. For instance, the malaria parasite Plasmodium falciparum undergoes a complex lifecycle that includes the development of gametocytes, which are taken up by the mosquito during a blood meal. Within the mosquito midgut, male gametogenesis is crucial for the release of male gametes, a process regulated by the calcium-dependent protein kinase 4 (PfCDPK4). This kinase is essential for the phosphorylation of proteins necessary for male gamete emergence, DNA replication, mRNA translation, and cell motility, thereby facilitating the parasite's transmission to the mosquito vector (Kumar et al., 2021). Additionally, single-cell transcriptomics has revealed the transcriptional signatures and developmental trajectories of P. falciparum as it colonizes the mosquito midgut and salivary glands, highlighting the gene usage across different transmission stages (Real et al., 2020). The findings of Adolfi et al. (2020) indicate the potential of gene drive technology in manipulating genetic traits in populations. The visual data illustrate the process of gene drive propagation, showing how genetically modified alleles can be spread through a population. This involves the use of CRISPR/Cas9 systems to ensure the inheritance of specific genetic traits, significantly increasing their presence in subsequent generations. The

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