Infect Genet Evol. 2021 Nov 17:105143. doi: 10.1016/j.meegid.2021.105143. Online ahead of print.
ABSTRACT
North Central Nigeria is one region in Nigeria with a significant incidence of malaria caused majorly by Plasmodium falciparum. This study utilizes the msp1 and msp2 genes of P. falciparum to examine its diversity and multiplicity of infection (MOI). Blood samples were collected from 247 children across selected healthcare facilities in Minna, from infants and children aged 6 months to 17 years. Of the total collection, 143 (58%) of the children were infected with P. falciparum with parasite density ≥ 1000 μl, and from which fifty (50) samples was randomly selected and presented for PCR for the characterization of msp1 and msp2 gene using nested-PCR method. Overall, 57 msp1 genotypes, including K1, MAD20 and RO33 were identified, ranging from (250-1000 bp), (100-500 bp) and (400-500 bp), respectively. In addition, 54 different msp2 genotypes of FC27 and 3D7 alleles ranging from (100-900 bp) and (100-800 bp), respectively were selected. A monoclonal infection of 39% and a polyclonal infection of 61% was recorded, however, a particularity about this study is the polyclonal nature of RO33. Determination of gene diversity revealed MAD20 as the predominant allele for msp1 with a mean MOI of 1.35 and FC27 for msp2 with 1.72 MOI. The overall MOI recorded for the study was 1.60. There was, however, no statistical significance difference between MOI and age of the child (P > 0.05). Meanwhile, findings from this study revealed P. falciparum populations were not genetically diverse with Heterozygosity (He) index of 0.0636. However, a significant level gene diversity within the antigenic markers of msp1 and msp2 was observed with He index of 0.714 and 0.830, respectively. This study has demonstrated the potential of gene diversity and MOI of P. falciparum, as important markers for assessing differences in malaria transmission intensity. Continuous malaria genetic surveillance is therefore recommended as a fundamental tool for monitoring changes in gene types and for intervention programs’ effectiveness.
PMID:34800712 | DOI:10.1016/j.meegid.2021.105143
