Susceptibility of Field-Collected <i>Nyssorhynchus darlingi</i> to <i>Plasmodium</i> spp. in Western Amazonian Brazil
Mosquito susceptibility to <i>Plasmodium</i> spp. infection is of paramount importance for malaria occurrence and sustainable transmission. Therefore, understanding the genetic features underlying the mechanisms of susceptibility traits is pivotal to assessing malaria transmission dynami...
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| Autores principales: | , , , , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
MDPI AG
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/299911c526474564a2a7a87185742ee1 |
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| Sumario: | Mosquito susceptibility to <i>Plasmodium</i> spp. infection is of paramount importance for malaria occurrence and sustainable transmission. Therefore, understanding the genetic features underlying the mechanisms of susceptibility traits is pivotal to assessing malaria transmission dynamics in endemic areas. The aim of this study was to investigate the susceptibility of <i>Nyssorhynchus darlingi</i>—the dominant malaria vector in Brazil—to <i>Plasmodium</i> spp. using a reduced representation genome-sequencing protocol. The investigation was performed using a genome-wide association study (GWAS) to identify mosquito genes that are predicted to modulate the susceptibility of natural populations of the mosquito to <i>Plasmodium</i> infection. After applying the sequence alignment protocol, we generated the variant panel and filtered variants; leading to the detection of 202,837 SNPs in all specimens analyzed. The resulting panel was used to perform GWAS by comparing the pool of SNP variants present in <i>Ny.</i> <i>darlingi</i> infected with <i>Plasmodium</i> spp. with the pool obtained in field-collected mosquitoes with no evidence of infection by the parasite (all mosquitoes were tested separately using RT-PCR). The GWAS results for infection status showed two statistically significant variants adjacent to important genes that can be associated with susceptibility to <i>Plasmodium</i> infection: Cytochrome P450 (<i>cyp450</i>) and <i>chitinase.</i> This study provides relevant knowledge on malaria transmission dynamics by using a genomic approach to identify mosquito genes associated with susceptibility to <i>Plasmodium</i> infection in <i>Ny. darlingi</i> in western Amazonian Brazil. |
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