Background
In the past decade, malaria morbidity and mortality have decreased significantly worldwide. In 2018, an estimated 228 million cases of malaria occurred worldwide, compared with 251 million cases in 2010 [
1]. Ethiopia is one of the African countries where
Plasmodium falciparum and
Plasmodium vivax co-exist; with
P. falciparum accounting for almost 70% of cases [
2].
In Ethiopia, malaria remains a major public health problem with an estimated 52% of the population at risk of infection [
2,
3]. However, due to improved case management, and the scale-up of long-lasting insecticidal nets (LLINs) and indoor residual spraying (IRS) there has been a significant reduction in the malaria burden, with the malaria programme review in 2020 finding a 67% decline in malaria prevalence from 0.9/100,000 population to 0.3/100,000 population between 2016 and 2020 [
4]. The estimated annual parasite index in the Afar region in North East Ethiopia was 52.03 in 2019 compared to 126 in 2013 (Federal Ministry of Health, unpublished data). In most malaria endemic districts, the annual malaria incidence rate is now less than 5% [
5,
6]. These successes have prompted the country to move towards malaria elimination strategies [
7].
Polymerase chain reaction (PCR)-based genotyping methods are used widely in molecular epidemiological studies to assess allelic diversity and multiplicity of infection [
8]. Among the polymorphic genes of
P. falciparum, merozoite surface protein 1 (
msp1),
msp2, and
glurp markers are used most commonly to differentiate recrudescence of the parasite from new infections in therapeutic efficacy studies [
8]. The
msp2 gene is the most conserved and informative single marker for molecular epidemiological studies [
9]. MSP2 is a glycoprotein expressed on the surface of merozoites that has been considered as one of the candidates for blood stage malaria vaccines [
10]. The
msp2 gene is located on chromosome 2 and is composed of five blocks the most polymorphic of which is the central block 3 [
11]. The gene is encoded by highly divergent alleles, grouped into two dimorphic families FC27 and IC/3D7 [
12]. Genotyping of
P. falciparum in malaria endemic areas can be used to determine the genetic diversity of falciparum malaria and multiplicity of infection (MOI), which can be used to infer transmission intensity. For example, studies higher heterozygosity (He) and MOIs have been described in high malaria transmission areas compared with low transmission areas [
13,
14].
Several studies have investigated the genetic diversity of
P. falciparum in endemic regions in Africa, South America and Asia [
15‐
17], including a few studies from Ethiopia [
18‐
21]. Most of these studies were conducted in moderate to high trasmision settings and showed high genetic diversity and MOI. However, no studies have described the diversity of
P. falciparum from the semi-arid climatic zones of Ethiopia. Given the recently enhanced malaria control interventions in Ethiopia, assessment of the genetic diversity of
P. falciparum provides an additional understanding of progress towards elimination in the country and a point of comparison for future studies in the region. This study aimed to determine the genetic diversity and multiplicity of
P. falciparum infection based on
msp2 gene polymorphisms in the semi-arid rural area of North East Ethiopia.
Discussion
This study was conducted to assess the current
P. falciparum genotypic structure in the semi-arid area in North East Ethiopia, using the highly polymorphic (block 3) region of the
msp2 gene as a molecular marker. The
msp2 marker is recommended for genotyping
P. falciparum parasite populations compared with
msp-1 and
glurp [
30].
Plasmodium falciparum isolates from this region were mainly monoclonal with a low MOI and limited genetic diversity. These findings are important for ongoing evaluation of the effect of malaria control strategies, as Ethiopia moves towards malaria elimination.
The 3D7/IC allelic family of
msp2 was more prevalent than the FC27 allelic family. This is in agreement with previous reports from Burkina Faso [
31], South West Ethiopia [
22] and Sudan [
32]. However, this finding differs to results from North West Ethiopia [
20], and Central Sudan [
33], where FC27 was the more prevalent allelic family. These differences could relate to the semi-arid geographic setting and low transmission intensity compared to the hot and humid climate in North West Ethiopia.
Limited genetic diversity of
P. falciparum was observed in this study. Similar results have been reported in other areas with low
P. falciparum transmission [
34] and in regions with declining transmission related to malaria control efforts [
35]. In contrast, a high level of genetic diversity was reported in high endemicity settings in Cameroon [
15] and Burkina Faso [
31].
The current study found that the
P. falciparum parasite population in Melka-Werer exhibited a low heterozygosity (He = 0.5), consistent with that reported in Mubuga, Rwanda (He = 0.49) [
36]. In areas with declining local transmission, it is expected that lower parasite diversity (heterozygosity) will be present [
37]. Declining diversity and transmission have been associated with improved malaria control interventions [
38,
39].
The overall mean MOI reported in this study was low (MOI = 1.2). This is in agreement to previous studies where low malaria transmission settings are commonly associated with lower MOIs [
40,
41], and is consistent with reports from semi-desert settings in neighbouring Sudan and Djibouti [
32,
38]. The low MOI contrasted with a finding from a higher endemic setting in Humera, Ethiopia [
19]. The low MOI observed in this study may reflect most positive samples being from adult patients, with previous reports finding a reduction in MOI in adults compared with children [
43].
The majority of participants in the current study were older than 10 years, similar to results from an area with a lower intensity of malaria transmission [
31] but contrasting to reports from high transmission settings [
44]. It is also possible that the age-related malaria risk may have been influenced by implementation of effective malaria control interventions, such as the widespread distribution of long-lasting insecticidal nets (LLINs) and indoor residual spray (IRS), and sustained treatment of malaria patients with artemisinin-based combination therapy (ACT). This is supported by the 2015 malaria indicator survey, which found that the Afar region had the highest percentage of use of LLINs compared to other regions of the country [
6].
Age is considered an important factor in the acquisition of immunity against
P. falciparum and may have also an effect on MOI [
45], although, the influence of age on the MOI is highly affected by malaria transmission intensity [
46]. Previous studies have shown an association between age and MOI in areas with intense perennial malaria transmission or hypo-meso-endemic malaria transmission [
47,
48]. However, the current study found no association between age and MOI. Similar findings have been reported in other countries [
49,
50].
A higher geometric mean parasite density in individuals with previous exposure to malaria attack was found. In this low endemicity setting, a lower proportion of individuals will have likely had prior immunity, meaning that infected patients will be more likely to become symptomatic at a lower parasitaemia than in high endemicity settings.
It was difficult to correlate transmission levels with genetic diversity and MOI in the current study due to a lack of entomologic inoculation rate (EIR) data from the study area. However, the genetic diversity and the MOI reported in the present study supported a low average microscopy positivity rate (8.5%) (Melka-Werer rural town health office data, 2015, unpublished). A limitation of this study was the small sample size, in part due to the nomadic nature of the local communities. Furthermore, due to resource restrictions, lower discriminatory power agarose gel electrophoresis compared to capillary electrophoresis was used [51]. Further, the limited allelic frequency and genetic diversity observed may have been due to the detection limit of the PCR technique used in the study. Allelic fragment length intervals of less than 20 base pairs may not be clearly distinguished on agarose gel and may lead to misclassification of the genotype. Allele differentiation could be improved by using more discriminatory techniques in future studies, such as DNA sequencing or SNPs.
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