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Genotyping HIV-1 and HCV strains by a combinatorial DNA melting assay (COMA).

机译:通过组合DNA熔解分析(COMA)对HIV-1和HCV毒株进行基因分型。

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摘要

BACKGROUND: Human immunodeficiency virus type 1 (HIV-1) and hepatitis C virus (HCV) strains can be genetically classified into genetic lineages known as genetic types or subtypes according to phylogenetic analyses of complete or partial nucleotide sequences of their genomes. The genetic classification of HIV-1 and HCV strains has important implications for the development of globally effective vaccines and for the management of patients. MATERIALS AND METHODS: A new method, termed combinatorial DNA melting assay (COMA), allows rapid accessing of comparative genetic information between related DNA sequences, making it possible to rapidly and accurately genotype unknown HIV-1 and HCV strains. COMA is mainly based on the differential melting properties of long DNA heteroduplexes. Combinatorial arrays of DNA heteroduplexes are formed when captured PCR-amplified reference DNA with known nucleotide sequences are combined with solution-phase complementary and antigenically labeled DNA with unknown sequences. Genetic divergence between the known and the unknown sequences is inferred as the experimentally derived melting curves of the two strands of the DNA heteroduplexes increasingly diverge. RESULTS: COMA was successfully applied to the genetic classification of HIV-1 and HCV strains into phylogenetic lineages or subtypes. CONCLUSIONS: Use of this assay should accelerate current efforts to understand the global molecular epidemiology of HIV-1 and HCV and may extend to the genetic characterization of other genetically diverse infectious pathogens associated with numerous diseases.
机译:背景:人类免疫缺陷病毒1型(HIV-1)和丙型肝炎病毒(HCV)菌株可以根据其基因组完整或部分核苷酸序列的系统发育分析,遗传分类为称为遗传类型或亚型的遗传谱系。 HIV-1和HCV毒株的遗传分类对开发全球有效的疫苗和患者管理具有重要意义。材料与方法:一种称为组合DNA熔解分析(COMA)的新方法,可以快速访问相关DNA序列之间的比较遗传信息,从而可以快速准确地对未知的HIV-1和HCV菌株进行基因分型。 COMA主要基于长DNA异源双链的差异熔解特性。当捕获的具有已知核苷酸序列的PCR扩增参考DNA与溶液相互补且具有未知序列的抗原标记DNA结合时,就会形成DNA异源双链的组合阵列。随着DNA异源双链体两条链的实验得出的解链曲线逐渐发散,可以推断出已知序列与未知序列之间的遗传差异。结果:COMA已成功应用于HIV-1和HCV病毒株的遗传分类,包括系统发育谱系或亚型。结论:使用该测定法应能加快当前了解HIV-1和HCV的全球分子流行病学的努力,并可能扩展到与多种疾病相关的其他遗传多样性传染病原体的遗传特征。

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