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Modeling the genetic relatedness of Plasmodium falciparum parasites following meiotic recombination and cotransmission

机译:减数分裂重组和共传播后恶性疟原虫寄生虫的遗传相关性建模

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摘要

Unlike in most pathogens, multiple-strain (polygenomic) infections of P. falciparum are frequently composed of genetic siblings. These genetic siblings are the result of sexual reproduction and can coinfect the same host when cotransmitted by the same mosquito. The degree with which coinfecting strains are related varies among infections and populations. Because sexual recombination occurs within the mosquito, the relatedness of cotransmitted strains could depend on transmission dynamics, but little is actually known of the factors that influence the relatedness of cotransmitted strains. Part of the uncertainty stems from an incomplete understanding of how within-host and within-vector dynamics affect cotransmission. Cotransmission is difficult to examine experimentally but can be explored using a computational model. We developed a malaria transmission model that simulates sexual reproduction in order to understand what determines the relatedness of cotransmitted strains. This study highlights how the relatedness of cotransmitted strains depends on both within-host and within-vector dynamics including the complexity of infection. We also used our transmission model to analyze the genetic relatedness of polygenomic infections following a series of multiple transmission events and examined the effects of superinfection. Understanding the factors that influence the relatedness of cotransmitted strains could lead to a better understanding of the population-genetic correlates of transmission and therefore be important for public health.
机译:与大多数病原体不同,恶性疟原虫的多株(多基因组)感染通常由遗传同胞组成。这些遗传同胞是有性繁殖的结果,当由同一蚊子共同传播时,它们可以共同感染同一宿主。合并感染菌株的相关程度随感染和人群的不同而不同。由于蚊子内部发生有性重组,因此共同传播的菌株之间的相关性可能取决于传播动力学,但实际上对影响共同传播的菌株之间相关性的因素知之甚少。部分不确定性源于对宿主内部和矢量内部动力学如何影响共传输的不完全了解。共传输很难通过实验进行检查,但是可以使用计算模型进行探索。我们开发了一种模拟性繁殖的疟疾传播模型,以了解决定共同传播的毒株之间相关性的因素。这项研究强调了共传播菌株的相关性如何取决于宿主内和载体内的动力学,包括感染的复杂性。我们还使用我们的传播模型分析了一系列多次传播事件后多基因组感染的遗传相关性,并研究了超级感染的影响。了解影响共同传播的菌株的相关性的因素可能会导致对传播的种群遗传相关性的更好理解,因此对公共卫生非常重要。

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