Simplified hepatitis C virus genotyping by heteroduplex mobility analysis

Citation
Pa. White et al., Simplified hepatitis C virus genotyping by heteroduplex mobility analysis, J CLIN MICR, 38(2), 2000, pp. 477-482
Citations number
34
Categorie Soggetti
Clinical Immunolgy & Infectious Disease",Microbiology
Journal title
JOURNAL OF CLINICAL MICROBIOLOGY
ISSN journal
00951137 → ACNP
Volume
38
Issue
2
Year of publication
2000
Pages
477 - 482
Database
ISI
SICI code
0095-1137(200002)38:2<477:SHCVGB>2.0.ZU;2-P
Abstract
Heteroduplex mobility analysis (HMA) was used to genotype hepatitis C virus es (HCV) with PCR fragments derived from the 5' untranslated region (5'-UTR ) or the NS5b region. HCV 5'-UTR fragments were amplified from 296 serum sa mples by use of a combined reverse transcription-PCR assay, and the genotyp es of isolates were determined by sequencing. HCV genotype distributions in Australia were 39% for genotype 1a, 15% for 1b, 3% for 1a/b, <1% for 2a/c, 5% for 2b, 34% for 3a, <1% for 3b, and 1% for 4, and 1% of patients were i nfected with more than one genotype. Pairwise HMA of subtypes 1a, 1b, 2a/c, 2b, 3a, 3b, 4a, and 6a demonstrated that five distinct heteroduplex patter ns were formed between the eight subtypes. A reference panel that contained a representative of each pattern (1a, 2b, 3a, 4a, and 6a) was used for gen otyping. The pattern of heteroduplexes formed when a test isolate was mixed with the five reference isolates was correlated with the genotype, as dete rmined by sequencing. Genotypes determined by HMA correlated exactly with s equencing results,within the groups 1, 2, 3a, 3b/4, and 6. HMA was also use d to simplify the identification of mixed infection with two HCV genotypes. In further studies, with amplicons from the NS5b region, HMA classified is olates into their respective subtypes, and the heteroduplex mobility ratio correlated closely with nucleotide sequence variation at the isolate, subty pe, and genotype levels. HMA provides an adaptable, inexpensive, and rapid method of genotyping HCV that requires fewer resources than DNA sequencing.