Susceptibility of Field-Collected Nyssorhynchus darlingi to Plasmodium spp. in Western Amazonian Brazil.

Autor: Alonso DP; Biotechnology Institute and Bioscience Institute, Sao Paulo State University UNESP, Botucatu 18618-689, Brazil.; Departamento de Epidemiologia, Faculdade de Saúde Pública, Universidade de São Paulo, São Paulo 05508-060, Brazil., Alvarez MVN; Biotechnology Institute and Bioscience Institute, Sao Paulo State University UNESP, Botucatu 18618-689, Brazil., Ribolla PEM; Biotechnology Institute and Bioscience Institute, Sao Paulo State University UNESP, Botucatu 18618-689, Brazil., Conn JE; Wadsworth Center, New York State Department of Health, Albany, NY 12159, USA.; Department of Biomedical Sciences, School of Public Health, State University of New York, Albany, NY 12222, USA., de Oliveira TMP; Departamento de Epidemiologia, Faculdade de Saúde Pública, Universidade de São Paulo, São Paulo 05508-060, Brazil., Sallum MAM; Departamento de Epidemiologia, Faculdade de Saúde Pública, Universidade de São Paulo, São Paulo 05508-060, Brazil.
Jazyk: angličtina
Zdroj: Genes [Genes (Basel)] 2021 Oct 25; Vol. 12 (11). Date of Electronic Publication: 2021 Oct 25.
DOI: 10.3390/genes12111693
Abstrakt: Mosquito susceptibility to Plasmodium  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 Nyssorhynchus darlingi -the dominant malaria vector in Brazil-to Plasmodium 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 Plasmodium 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 Ny.   darlingi infected with Plasmodium 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 Plasmodium infection: Cytochrome P450 ( cyp450 ) and chitinase. This study provides relevant knowledge on malaria transmission dynamics by using a genomic approach to identify mosquito genes associated with susceptibility to Plasmodium infection in Ny. darlingi in western Amazonian Brazil.
Databáze: MEDLINE
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