Micro-epidemiological structuring of Plasmodium falciparum parasite populations in regions with varying transmission intensities in Africa.
Micro-epidemiological structuring of Plasmodium falciparum parasite populations in regions with varying transmission intensities in Africa.
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DOI：
10.12688/wellcomeopenres.10784.1
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发表时间：
2017-01-01
影响因子：
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通讯作者：
Bejon, Philip
中科院分区：
文献类型：
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作者：
Omedo, Irene;Mogeni, Polycarp;Bejon, Philip
背景：疟疾传播的第一个模型假设一个完全混合和同质的寄生虫种群。 最近的模型包括空间异质性和混合种群。然而，很少有寄生虫混合的经验估计参数化这样的模型。研究方法：在这里，我们基因型276单核苷酸多态性（SNPs）在5199恶性疟原虫分离从两个肯尼亚网站（基利菲州和拉琼约南区）和冈比亚的一个场址（Kombo沿海地区），以确定寄生虫混合的时空范围，主成分分析（PCA）和线性回归来检查寄生虫对的遗传相关性与空间和时间上的距离之间的关系。结果如下：使用107，177和82个SNP，分别在133，1602和1034个寄生虫分离株从冈比亚，基利菲和Rachuonyo南区，成功地进行基因分型，我们发现，没有离散的地理限制的寄生虫亚群，而是我们看到一个弥漫的时空结构寄生虫基因型。 通过空间和时间上的相关度预测样本对的遗传相关度。结论：我们的研究结果表明，有针对性的疟疾控制将使周围社区受益，但不幸的是，新出现的耐药性也将在人群中迅速蔓延。
Background: The first models of malaria transmission assumed a completely mixed and homogeneous population of parasites. Recent models include spatial heterogeneity and variably mixed populations. However, there are few empiric estimates of parasite mixing with which to parametize such models. Methods: Here we genotype 276 single nucleotide polymorphisms (SNPs) in 5199 P. falciparum isolates from two Kenyan sites (Kilifi county and Rachuonyo South district) and one Gambian site (Kombo coastal districts) to determine the spatio-temporal extent of parasite mixing, and use Principal Component Analysis (PCA) and linear regression to examine the relationship between genetic relatedness and distance in space and time for parasite pairs. Results: Using 107, 177 and 82 SNPs that were successfully genotyped in 133, 1602, and 1034 parasite isolates from The Gambia, Kilifi and Rachuonyo South district, respectively, we show that there are no discrete geographically restricted parasite sub-populations, but instead we see a diffuse spatio-temporal structure to parasite genotypes. Genetic relatedness of sample pairs is predicted by relatedness in space and time. Conclusions: Our findings suggest that targeted malaria control will benefit the surrounding community, but unfortunately also that emerging drug resistance will spread rapidly through the population.