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分子方法确定疟原虫感染的多重性。

Molecular approaches to determine the multiplicity of Plasmodium infections.

机构信息

Program in Public Health, University of California, Irvine, CA, 92617, USA.

Department of Entomology, Pennsylvania State University, University Park, PA, 16802, USA.

出版信息

Malar J. 2018 Apr 23;17(1):172. doi: 10.1186/s12936-018-2322-5.

Abstract

Multiplicity of infection (MOI), also termed complexity of infection (COI), is defined as the number of genetically distinct parasite strains co-infecting a single host, which is an important indicator of malaria epidemiology. PCR-based genotyping often underestimates MOI. Next generation sequencing technologies provide much more accurate and genome-wide characterization of polyclonal infections. However, complete haplotype characterization of multiclonal infections remains a challenge due to PCR artifacts and sequencing errors, and requires efficient computational tools. In this review, the advantages and limitations of current molecular approaches to determine multiplicity of malaria parasite infection are discussed.

摘要

感染多样性(MOI),也称为感染复杂性(COI),定义为同时感染单个宿主的遗传上不同的寄生虫株的数量,这是疟疾流行病学的一个重要指标。基于 PCR 的基因分型方法常常低估 MOI。下一代测序技术可更准确且全面地对多克隆感染进行特征分析。然而,由于 PCR 伪影和测序错误,对多克隆感染进行完整的单倍型特征分析仍然是一个挑战,这需要有效的计算工具。在这篇综述中,讨论了当前用于确定疟原虫感染多样性的分子方法的优缺点。

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