评价恶性疟原虫高传播人群遗传变化的分子监测方法比较

Frontiers in parasitology Pub Date : 2023-01-01 Epub Date: 2023-04-03 DOI:10.3389/fpara.2023.1067966
Anita Ghansah, Kathryn E Tiedje, Dionne C Argyropoulos, Christiana O Onwona, Samantha L Deed, Frédéric Labbé, Abraham R Oduro, Kwadwo A Koram, Mercedes Pascual, Karen P Day
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引用次数: 2

摘要

开发用于疟疾监测的分子方法的一个主要动机是衡量控制干预措施对恶性疟原虫种群遗传学的影响,作为消除进展的潜在标志。在这里,我们评估了三种已建立的方法(i)单核苷酸多态性(SNP)条形码(24个双等位基因位点面板),(ii)微卫星基因分型(12个多等位基因位点面板)和(iii) varcoding(指纹识别var基因多样性,类似于微单倍型),以确定短期室内残留喷洒(IRS)干预后寄生虫种群遗传学的变化。非洲典型的高季节性传播,多克隆感染发生率为82.3%(中位数为3%;范围1-18)和57.8%(中位数2;(范围1-12),分别在加纳邦戈区进行了irs前和之后的无症状个体。由于双等位基因snp和微卫星无法直接对多位点单倍型进行群体遗传分析,因此我们选择了约200种低复杂性感染进行分析,这些感染偏向于单克隆和双克隆感染。由于可用数据的可变性和分子标记的相对多态性(即SNPs <微卫星< var),每种基因分型方法在多样性和群体结构方面呈现出不同的变化模式。Varcoding和微卫星基因分型表明,IRS干预总体上未能显著改变IRS前的种群结构特征(即许多低遗传相似性的不同基因组)。24-SNP条形码提供的分析信息有限,主要是由于snp的双等位基因性质导致双等位基因调用的比例很高,并且与微卫星和varcoding相比,它具有更多的分离相关性。在高传播流行地区,讨论了与样本量和当地疟疾消除相关的方法的相对性能、适用性和成本效益。
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Comparison of molecular surveillance methods to assess changes in the population genetics of Plasmodium falciparum in high transmission.

A major motivation for developing molecular methods for malaria surveillance is to measure the impact of control interventions on the population genetics of Plasmodium falciparum as a potential marker of progress towards elimination. Here we assess three established methods (i) single nucleotide polymorphism (SNP) barcoding (panel of 24-biallelic loci), (ii) microsatellite genotyping (panel of 12-multiallelic loci), and (iii) varcoding (fingerprinting var gene diversity, akin to microhaplotyping) to identify changes in parasite population genetics in response to a short-term indoor residual spraying (IRS) intervention. Typical of high seasonal transmission in Africa, multiclonal infections were found in 82.3% (median 3; range 1-18) and 57.8% (median 2; range 1-12) of asymptomatic individuals pre- and post-IRS, respectively, in Bongo District, Ghana. Since directly phasing multilocus haplotypes for population genetic analysis is not possible for biallelic SNPs and microsatellites, we chose ~200 low-complexity infections biased to single and double clone infections for analysis. Each genotyping method presented a different pattern of change in diversity and population structure as a consequence of variability in usable data and the relative polymorphism of the molecular markers (i.e., SNPs < microsatellites < var). Varcoding and microsatellite genotyping showed the overall failure of the IRS intervention to significantly change the population structure from pre-IRS characteristics (i.e., many diverse genomes of low genetic similarity). The 24-SNP barcode provided limited information for analysis, largely due to the biallelic nature of SNPs leading to a high proportion of double-allele calls and a view of more isolate relatedness compared to microsatellites and varcoding. Relative performance, suitability, and cost-effectiveness of the methods relevant to sample size and local malaria elimination in high-transmission endemic areas are discussed.

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