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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2021
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oai:doaj.org-article:299911c526474564a2a7a87185742ee12021-11-25T17:40:53ZSusceptibility of Field-Collected <i>Nyssorhynchus darlingi</i> to <i>Plasmodium</i> spp. in Western Amazonian Brazil10.3390/genes121116932073-4425https://doaj.org/article/299911c526474564a2a7a87185742ee12021-10-01T00:00:00Zhttps://www.mdpi.com/2073-4425/12/11/1693https://doaj.org/toc/2073-4425Mosquito 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.Diego Peres AlonsoMarcus Vinicius Niz AlvarezPaulo Eduardo Martins RibollaJan E. ConnTatiane Marques Porangaba de OliveiraMaria Anice Mureb SallumMDPI AGarticle<i>Nyssorhynchus</i> <i>darlingi</i>GWASNextRADcytochrome P450chitinaseGeneticsQH426-470ENGenes, Vol 12, Iss 1693, p 1693 (2021) |
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<i>Nyssorhynchus</i> <i>darlingi</i> GWAS NextRAD cytochrome P450 chitinase Genetics QH426-470 |
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<i>Nyssorhynchus</i> <i>darlingi</i> GWAS NextRAD cytochrome P450 chitinase Genetics QH426-470 Diego Peres Alonso Marcus Vinicius Niz Alvarez Paulo Eduardo Martins Ribolla Jan E. Conn Tatiane Marques Porangaba de Oliveira Maria Anice Mureb Sallum Susceptibility of Field-Collected <i>Nyssorhynchus darlingi</i> to <i>Plasmodium</i> spp. in Western Amazonian Brazil |
description |
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. |
format |
article |
author |
Diego Peres Alonso Marcus Vinicius Niz Alvarez Paulo Eduardo Martins Ribolla Jan E. Conn Tatiane Marques Porangaba de Oliveira Maria Anice Mureb Sallum |
author_facet |
Diego Peres Alonso Marcus Vinicius Niz Alvarez Paulo Eduardo Martins Ribolla Jan E. Conn Tatiane Marques Porangaba de Oliveira Maria Anice Mureb Sallum |
author_sort |
Diego Peres Alonso |
title |
Susceptibility of Field-Collected <i>Nyssorhynchus darlingi</i> to <i>Plasmodium</i> spp. in Western Amazonian Brazil |
title_short |
Susceptibility of Field-Collected <i>Nyssorhynchus darlingi</i> to <i>Plasmodium</i> spp. in Western Amazonian Brazil |
title_full |
Susceptibility of Field-Collected <i>Nyssorhynchus darlingi</i> to <i>Plasmodium</i> spp. in Western Amazonian Brazil |
title_fullStr |
Susceptibility of Field-Collected <i>Nyssorhynchus darlingi</i> to <i>Plasmodium</i> spp. in Western Amazonian Brazil |
title_full_unstemmed |
Susceptibility of Field-Collected <i>Nyssorhynchus darlingi</i> to <i>Plasmodium</i> spp. in Western Amazonian Brazil |
title_sort |
susceptibility of field-collected <i>nyssorhynchus darlingi</i> to <i>plasmodium</i> spp. in western amazonian brazil |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/299911c526474564a2a7a87185742ee1 |
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