Evolutionary Genomics and Bioinformatics Laboratory, Division of Genomics and Bioinformatics, National Institute of Malaria Research, Sector 8, Dwarka, New Delhi 110077, India.
Infect Genet Evol. 2013 Dec;20:476-87. doi: 10.1016/j.meegid.2013.10.010. Epub 2013 Oct 21.
Evolution and spread of chloroquine resistant (CQR) malaria parasite Plasmodium falciparum have posed great threat in malaria intervention across the globe. The occurrence of K76T mutation in the P. falciparum chloroquine resistance transporter (pfcrt) gene has been widely attributed to CQR with four neighboring mutations providing compensatory fitness benefit to the parasite survival. Understanding evolutionary patterns of the pfcrt gene is of great relevance not only for devising new malaria control measures but also could serve as a model to understand evolution and spread of other human drug-resistant pathogens. Several studies, mainly based on differential patterns of diversities of the microsatellite loci placed in-and-around the pfcrt gene have indicated the role of positive natural selection under the 'hitchhiking' model of molecular evolution. However, the studies were restricted to limited number of microsatellite loci present inside the pfcrt gene. Moreover, comparatively higher level of diversities in microsatellite loci present inside the pfcrt gene than the loci flanking the pfcrt gene are hallmarks of Indian P. falciparum, presenting contrasting evolutionary models to global isolates. With a view to infer evolutionary patterns of the pfcrt gene in Indian P. falciparum, we have adopted a unique sampling scheme of two types of populations (cultured and field collected) and utilized 20 polymorphic microsatellite loci (16 located inside the pfcrt gene and four in the two flanking regions) to disentangle between genetic drift (inbred cultured isolates) and natural selection (field isolates). Data analyses employing different population genetic tests could not straightforwardly explain either the model invoking 'genetic hitchhiking' or 'genetic drift'. However, complex evolutionary models influenced by both demography and natural selection or an alternative model of natural selection (e.g. diversifying/balancing selection) might better explain the observed microsatellite variation in-and-around the pfcrt gene in Indian P. falciparum.
疟原虫对氯喹的耐药性(CQR)在全球疟疾干预中构成了巨大威胁。疟原虫氯喹耐药转运蛋白(pfcrt)基因中的 K76T 突变的发生,广泛归因于 CQR,而四个相邻突变则为寄生虫的生存提供了补偿适应性优势。了解 pfcrt 基因的进化模式不仅对于制定新的疟疾控制措施具有重要意义,而且可以作为理解其他人类耐药病原体进化和传播的模型。几项研究主要基于放置在 pfcrt 基因内部和周围的微卫星基因座的差异多样性模式,表明在分子进化的“ hitchhiking ”模型下,存在正自然选择的作用。然而,这些研究仅限于 pfcrt 基因内部存在的有限数量的微卫星基因座。此外,pfcrt 基因内部存在的微卫星基因座的多样性水平明显高于 pfcrt 基因侧翼的基因座,这是印度疟原虫的特点,呈现出与全球分离株相反的进化模型。为了推断印度疟原虫 pfcrt 基因的进化模式,我们采用了两种类型的种群(培养和野外采集)的独特采样方案,并利用 20 个多态性微卫星基因座(16 个位于 pfcrt 基因内部,4 个位于两个侧翼区域)来区分遗传漂变(近亲培养分离株)和自然选择(野外分离株)。利用不同的种群遗传测试进行数据分析,既不能直接解释“遗传搭便车”模型,也不能解释“遗传漂变”模型。然而,受人口统计学和自然选择影响的复杂进化模型,或者自然选择的替代模型(例如多样化/平衡选择)可能更好地解释了印度疟原虫 pfcrt 基因内部和周围观察到的微卫星变异。