Cabrera-Sosa Luis, Safarpour Mahdi, Kattenberg Johanna Helena, Ramirez Roberson, Vinetz Joseph M, Rosanas-Urgell Anna, Gamboa Dionicia, Delgado-Ratto Christopher
Laboratorio de Malaria: Parásitos y Vectores, Laboratorios de Investigación y Desarrollo, Facultad de Ciencias e Ingeniería, Universidad Peruana Cayetano Heredia, Lima, Peru.
Instituto de Medicina Tropical "Alexander von Humboldt", Universidad Peruana Cayetano Heredia, Lima, Peru.
Front Genet. 2024 Dec 19;15:1488109. doi: 10.3389/fgene.2024.1488109. eCollection 2024.
Malaria molecular surveillance (MMS) can provide insights into transmission dynamics, guiding national control programs. We previously designed AmpliSeq assays for MMS, which include different traits of interest (resistance markers and deletions), and SNP barcodes to provide population genetics estimates of and parasites in the Peruvian Amazon. The present study compares the genetic resolution of the barcodes in the AmpliSeq assays with widely used microsatellite (MS) panels to investigate population genetics of Amazonian malaria parasites.
We analyzed 51 and 80 samples from three distinct areas in the Loreto region of the Peruvian Amazon: Nueva Jerusalén (NJ), Mazan (MZ), and Santa Emilia (SE). Population genetics estimates and costs were compared using the SNP barcodes (: 40 SNPs and 28 SNPs) and MS panels (: 16 MS and : 7 MS).
The genetic diversity (expected heterozygosity, ) trends were similar for both markers: = 0.68-0.78 ( > 0.05) and = 0.36-0.38 ( > 0.05). pairwise genetic differentiation (fixation index, F) was also comparable: F = 0.04-0.14 and F = 0.03-0.12 (pairwise > 0.05). In addition, genetic diversity trends ( = 0-0.48, < 0.05; = 0-0.09, < 0.05) and pairwise F comparisons (F = 0.14-0.65, F = 0.19-0.61, pairwise > 0.05) were concordant between both panels. For , no geographic clustering was observed with any panel, whereas for , similar population structure clustering was observed with both markers, assigning most parasites from NJ to a distinct subpopulation from MZ and SE. We found significant differences in detecting polyclonal infections: for , MS identified a higher proportion of polyclonal infections than SNP (69% vs. 33%, = 3.3 × 10), while for , SNP and MS detected similar rates (46% vs. 31%, = 0.21). The AmpliSeq assay had a higher estimated per-sample cost compared to MS ($183 vs. $27-49).
The SNP barcodes in the AmpliSeq assays offered comparable results to MS for investigating population genetics in and populations, despite some discrepancies in determining polyclonality. Given both panels have their respective advantages and limitations, the choice between both should be guided by research objectives, costs, and resource availability.
疟疾分子监测(MMS)可深入了解传播动态,为国家防控计划提供指导。我们之前设计了用于MMS的扩增子测序分析方法,其中包括不同的感兴趣特征(抗性标记和缺失)以及SNP条形码,以提供秘鲁亚马逊地区疟原虫种群遗传学估计。本研究比较了扩增子测序分析方法中条形码与广泛使用的微卫星(MS)面板的遗传分辨率,以调查亚马逊疟原虫的种群遗传学。
我们分析了来自秘鲁亚马逊洛雷托地区三个不同区域的51份恶性疟原虫和80份间日疟原虫样本:新耶路撒冷(NJ)、马赞(MZ)和圣埃米利亚(SE)。使用SNP条形码(恶性疟原虫:40个SNP,间日疟原虫:28个SNP)和MS面板(恶性疟原虫:16个MS,间日疟原虫:7个MS)比较种群遗传学估计和成本。
两种标记的恶性疟原虫遗传多样性(期望杂合度,He)趋势相似:He = 0.68 - 0.78(P > 0.05),间日疟原虫He = 0.36 - 0.38(P > 0.05)。恶性疟原虫成对遗传分化(固定指数,F)也具有可比性:F = 0.04 - 0.14,间日疟原虫F = 0.03 - 0.12(成对P > 0.05)。此外,两种面板之间的间日疟原虫遗传多样性趋势(He = 0 - 至0.48,P < 0.05;He = 0 - 0.09,P < 0.05)和成对F比较(F = 0.14 - 0.65,间日疟原虫F = 0.19 - 0.61,成对P > 0.05)是一致的。对于恶性疟原虫,使用任何一种面板均未观察到地理聚类,而对于间日疟原虫,两种标记均观察到相似的种群结构聚类,将来自NJ的大多数寄生虫分配到与MZ和SE不同的亚群中。我们发现在检测多克隆感染方面存在显著差异:对于恶性疟原虫,MS鉴定出的多克隆感染比例高于SNP(69%对33%,P = 3.3 × 10),而对于间日疟原虫,SNP和MS检测到的比例相似(46%对31%,P = 0.21)。与MS相比,扩增子测序分析方法的估计每个样本成本更高(183美元对27 - 49美元)。
扩增子测序分析方法中的SNP条形码在调查恶性疟原虫和间日疟原虫种群遗传学方面提供了与MS相当的结果,尽管在确定多克隆性方面存在一些差异。鉴于两种面板都有各自的优点和局限性,两者之间的选择应根据研究目标、成本和资源可用性来指导。