The genetic divergence of P. falciparum and P. vivax based on their potential vaccine candidate markers largely affects malaria transmission, drug resistance and malaria control measures. Consequently, resolving the genetic population structure of these parasites in malaria-endemic regions is necessary (Chen et al., 2018).
A variety of vaccine candidate genes in malarial parasites, especially in P. falciparum and P. vivax, have been studied worldwide to infer parasite genetic diversity and population dynamics, drug resistance mechanisms and malaria elimination strategies. In these parasites, different polymorphic markers, especially those that contain surface antigens with potential role in ineffective vaccine design, have been studied (Véron et al., 2009; Ullah et al., 2022; Orjuela-Sánchez et al., 2009; Kim et al., 2006; Leclerc et al., 2006). PCR-based genotyping has been successfully applied for genetic diversity analysis of P. falciparum and P. vivax parasites based on their corresponding antigenic markers, such as Pfmsp-1, Pfmsp-2, Pfglurp, Pvmsp-3α, Pvmsp-3β, Pvcsp and Pvmsp-1.
This study aimed to decipher the genetic diversity of P. falciparum and P. vivax isolates collected from Nowshera district, Khyber Pakhtunkhwa, Pakistan. P. falciparum and P. vivax isolates from Nowshera showed moderate to high levels of genetic diversity. In our study, a higher number of successfully genotyped samples was detected for Pfmsp-1 compared to that for Pfmsp-2 infections. This result is congruent with those reported previously from Burkina Faso (Soulama et al., 2009; Somé et al., 2018), Cote d’Ivoire and Gabon (Yavo et al., 2016) and Pakistan (Khan et al., 2021). Conversely, some studies from Ethiopia (Mohammad et al., 2019), Myanmar (Soe et al., 2017) and Sudan (A-Elbasit et al., 2007) have reported a somewhat higher frequency of Pfmsp-2 genotypes than Pfmsp-1 genotypes.
In P. falciparum, all allelic families of Pfmsp-1 (K1, RO33, MAD20) and Pfmsp-2 (FC27, 3D7) were successfully amplified as previously reported from other districts of Pakistan (Khan et al., 2021; Khatoon et al., 2010), Iran (Heidari et al., 2007), Honduras (Lopez et al., 2012), India (Joshi et al., 2007), Burkina Faso (Soulama et al., 2009) and southeast Gabon (Aubouy et al., 2003). Conversely, this study was in contradiction with some studies, such as that reported by the Khyber Agency in Pakistan (Khatoon et al., 2013), where only K1 and MAD20 alleles were reported for Pfmsp-1 isolates, while for Pfmsp-2, only 3D7 was reported, showing a lower level of genetic diversity in P. falciparum isolates than in our present study. The current study reports MAD20 as a highly prevalent variant of Pfmsp-1 infections, showing close agreement with several studies reported from Bannu, Pakistan (Khatoon et al., 2010), Northwest Ethiopia (Mohammed et al., 2018), India (Mamillapalli et al., 2007), and Myanmar (Kang et al., 2010). However, a remarkably incongruent result was reported from the Republic of Congo (Mayengue et al., 2011) and some southern regions of Khyber Pakhtunkhwa in Pakistan (Khan et al., 2021). This contradiction in allelic variation might be due to differences in the geographic and environmental conditions of these regions. In our Pfmsp-2 isolates, FC27 was dominant, as previously observed in Northwest Ethiopia (Mohammed et al., 2018), Nigeria (Ojurongbe et al., 2011) and Gabon (Aubouy et al., 2003). However, some studies conducted 11 years ago by Khatoon et al. (2010) from the Bannu district of Pakistan and Mayengue et al. (2011) from the Republic of Congo have reported a higher prevalence of the 3D7 allele than FC27. MSP-based MOI is considered the most potent tool for identifying the number of distinctive P. falciparum populations during an infection. The mean MOI observed in our study was 1.40 for Pfmsp-1 and 1.20 for Pfmsp-2, with an overall mean MOI of 1.34, reflecting low malaria transmission intensity in the study area. These results are in close agreement with a number of previously reported studies (Huang et al., 2018; Mze et al., 2020; Aroosh et al., 2011). The MOI for Pfmsp-1 and Pfmsp-2 infections in our study was very lower than that reported from Bioko Island, Equatorial Guinea (5.51) by Chen et al. (2018), Nigeria (2.6–2.8) by Funwei et al. (2018) and Gabon (4.0) by Ndong Ngomo et al. (2018). This huge difference in MOI confirms the high intensity and transmission of P. falciparum infection in these African countries compared to the low prevalence of P. falciparum malaria in Pakistan.
In our study, PCR/RFLP analyses of the Pvmsp-3α gene in P. vivax isolates were performed, and 4 distinct fragments of PCR products (A, B, C and D) were observed for Pvmsp-3α, in which the type A (2.5 kb) allele was the most prevalent, followed by type B (1.7 kb). This study agrees with previous studies that reported A allelic variant as the most frequent variant from Khyber Pakhtunkhwa, Sindh, Baluchistan and Punjab provinces of Pakistan (Khan et al., 2014) and from district Bannu (Khatoon et al., 2010) in Pakistan, suggesting the uniform distribution of Pvmsp-3α allelic families in different districts of Khyber Pakhtunkhwa province in Pakistan. However, in terms of the number of distinct allelic variants for Pvmsp-3α, the current study is different from those reported from Iran (Zakeri et al., 2010), Thailand (Cui et al., 2003) and Afghanistan (Zakeri et al., 2009), where only 3 allelic variants (A, B, C) for Pvmsp-3α were observed, which indicates the pattern of parasite diversity across the different regions of the world. Restriction digestion of the Pvmsp-3α amplified product displayed the presence of 9 unique allelic families among the 91 resolved amplicons, with allelic variant types A4 and B2 being the most frequent, while previous studies from Pakistan (Khan et al., 2014; Khatoon et al., 2010) reported 12 allelic variant types for the Pvmsp-3α gene, with the A3 allele being the most frequent. PCR-RFLP data from Pvmsp-3α loci exhibited 11% mixed-strain infections, revealing a comparatively higher frequency than that reported from China (5.6%) and much lower than that found in Thailand (20.5%) and FATA Pakistan (30%) (Yang et al., 2006; Zakeri et al., 2010). The higher rate of mixed infections from FATA Pakistan is reflected by the fact that FATA shares a border with Afghanistan, owing to which human migration was at its peak at that time. Unlike our study, no mixed infections were reported from Iran (Zakeri et al., 2010) and Hongshuihe (China) (Yang et al., 2006).
The variations observed in parasite species are likely attributed to elements such as sampling bias, host immune selective pressure on certain types and spatiotemporal changes in diverse circulating mosquito species that can transmit particular parasite types in a particular area during different seasons, with regions that have the same mosquito types tending to have similar parasite types. Limitations in our study were the small sample size of P. falciparum isolates collected during the study period and the use of nested PCR-based genotyping techniques instead of sequencing the genes under study, which might underestimate the actual level of genetic diversity in the study area.