南部非洲消灭前恶性疟原虫的种群结构和遗传连通性

Frontiers in epidemiology Pub Date : 2023-08-01 eCollection Date: 2023-01-01 DOI:10.3389/fepid.2023.1227071
Hazel B Gwarinda, Sofonias K Tessema, Jaishree Raman, Bryan Greenhouse, Lyn-Marié Birkholtz
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摘要

要在2030年之前加速在南部非洲区域消除疟疾,就必须防止跨界疟疾传播。然而,由于人类移徙有助于寄生虫跨越地理边界的移动,该区域内的国家高度相互关联。因此,必须更好地了解该地区恶性疟原虫的传播动态,确定主要寄生虫来源和汇种群,以及寄生虫高连通性的跨界区域。我们对来自纳米比亚、斯威士兰、南非和莫桑比克(N = 5314)的疟疾寄生虫进行了荟萃分析,收集了由微卫星基因分型产生的寄生虫等位基因数据。纳米比亚独特等位基因总数(平均A = 17.3±1.46)显著高于南非(平均A = 12.2±1.22)和斯威士兰(平均A = 13.3±1.27,P≤0.05),国家间杂合性差异不显著。纳米比亚的多克隆感染比例最高(77%),莫桑比克最低(64%)。结果表明,莫桑比克是4国间寄生虫的主要来源地,而斯威士兰是4国间寄生虫的主要汇区。该研究显示了寄生虫种群结构和跨国界疟疾寄生虫种群之间遗传连通性的强烈信号。这就要求在南部非洲区域各国之间加强协调疟疾控制和消除工作。这一数据还证明了它作为国家和区域一级疟疾监测的额外监测工具的潜在效用,以查明输入病例和/或疫情,并在各国努力消除疟疾的过程中监测抗疟疾药物耐药性的潜在传播。
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Population structure and genetic connectivity of Plasmodium falciparum in pre-elimination settings of Southern Africa.

To accelerate malaria elimination in the Southern African region by 2030, it is essential to prevent cross-border malaria transmission. However, countries within the region are highly interconnected due to human migration that aids in the movement of the parasite across geographical borders. It is therefore important to better understand Plasmodium falciparum transmission dynamics in the region, and identify major parasite source and sink populations, as well as cross-border blocks of high parasite connectivity. We performed a meta-analysis using collated parasite allelic data generated by microsatellite genotyping of malaria parasites from Namibia, Eswatini, South Africa, and Mozambique (N = 5,314). The overall number of unique alleles was significantly higher (P ≤ 0.01) in Namibia (mean A = 17.3 ± 1.46) compared to South Africa (mean A = 12.2 ± 1.22) and Eswatini (mean A = 13.3 ± 1.27, P ≤ 0.05), whilst the level of heterozygosity was not significantly different between countries. The proportion of polyclonal infections was highest for Namibia (77%), and lowest for Mozambique (64%). A was significant population structure was detected between parasites from the four countries, and patterns of gene flow showed that Mozambique was the major source area and Eswatini the major sink area of parasites between the countries. This study showed strong signals of parasite population structure and genetic connectivity between malaria parasite populations across national borders. This calls for strengthening the harmonization of malaria control and elimination efforts between countries in the southern African region. This data also proves its potential utility as an additional surveillance tool for malaria surveillance on both a national and regional level for the identification of imported cases and/or outbreaks, as well as monitoring for the potential spread of anti-malarial drug resistance as countries work towards malaria elimination.

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