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Genomic Sequencing of Plasmodium falciparum Malaria Parasites from Senegal Reveals the Demographic History of the Population

机译:塞内加尔恶性疟原虫疟疾寄生虫的基因组测序揭示了人口的人口历史

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摘要

Malaria is a deadly disease that causes nearly one million deaths each year. To develop methods to control and eradicate malaria, it is important to understand the genetic basis of Plasmodium falciparum adaptations to antimalarial treatments and the human immune system while taking into account its demographic history. To study the demographic history and identify genes under selection more efficiently, we sequenced the complete genomes of 25 culture-adapted P. falciparum isolates from three sites in Senegal. We show that there is no significant population structure among these Senegal sampling sites. By fitting demographic models to the synonymous allele-frequency spectrum, we also estimated a major 60-fold population expansion of this parasite population ∼20,000–40,000 years ago. Using inferred demographic history as a null model for coalescent simulation, we identified candidate genes under selection, including genes identified before, such as pfcrt and PfAMA1, as well as new candidate genes. Interestingly, we also found selection against G/C to A/T changes that offsets the large mutational bias toward A/T, and two unusual patterns: similar synonymous and nonsynonymous allele-frequency spectra, and 18% of genes having a nonsynonymous-to-synonymous polymorphism ratio >1.
机译:疟疾是一种致命疾病,每年导致近一百万人死亡。为了开发控制和消除疟疾的方法,重要的是要了解恶性疟原虫适应抗疟疾治疗和人类免疫系统的遗传基础,同时还要考虑其人口统计学历史。为了研究人口统计历史并更有效地识别选择下的基因,我们对来自塞内加尔三个地点的25种适应文化培养的恶性疟原虫的完整基因组进行了测序。我们表明,这些塞内加尔采样点之间没有显着的人口结构。通过将人口统计学模型拟合为等位基因等位基因频谱,我们还估计了这种寄生虫种群的主要种群扩展了60倍,大约是20,000至40,000年前。使用推断的人口统计学历史作为合并模型的无效模型,我们确定了正在选择的候选基因,包括以前鉴定的基因,例如pfcrt和PfAMA1,以及新的候选基因。有趣的是,我们还发现针对G / C到A / T变化的选择抵消了对A / T的巨大突变偏见,并抵消了两种不寻常的模式:相似的同义和非同义等位基因频率谱,以及18%的具有不同义的基因-同义多态性比率> 1。

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