High-resolution melt-curve analysis of random amplified polymorphic DNA (RAPD–HRM) for the characterisation of pathogenic leptospires: intra-serovar divergence, interserovar convergence, and evidence of attenuation in Leptospira reference collections

S M Tulsiani; Scott B Craig; Glenn C Graham; R C Cobbold; M F Dohnt; M A Burns; C C Jansen; L K-P Leung; H E Field; Lee D Smythe

doi:10.1179/136485910X12786389891047

Back

High-resolution melt-curve analysis of random amplified polymorphic DNA (RAPD–HRM) for the characterisation of pathogenic leptospires: intra-serovar divergence, interserovar convergence, and evidence of attenuation in Leptospira reference collections

Journal article

Peer reviewed

High-resolution melt-curve analysis of random amplified polymorphic DNA (RAPD–HRM) for the characterisation of pathogenic leptospires: intra-serovar divergence, interserovar convergence, and evidence of attenuation in Leptospira reference collections

S M Tulsiani, Scott B Craig, Glenn C Graham, R C Cobbold, M F Dohnt, M A Burns, C C Jansen, L K-P Leung, H E Field and Lee D Smythe

Annals of Tropical Medicine and Parasitology, Vol.104(5), pp.427-437

2010

DOI: https://doi.org/10.1179/136485910X12786389891047

Files and links (1)

url

https://doi.org/10.1179/136485910X12786389891047View

Published Version

Abstract

Leptospira

high-resolution melt analysis

High-resolution melt-curve analysis of random amplified polymorphic DNA (RAPD-HRM) is a novel technology that has emerged as a possible method to characterise leptospires to serovar level. RAPD-HRM has recently been used to measure intra-serovar convergence between strains of the same serovar as well as inter-serovar divergence between strains of different serovars. The results indicate that intra-serovar heterogeneity and inter-serovar homogeneity may limit the application of RAPD-HRM in routine diagnostics. They also indicate that genetic attenuation of aged, high-passage-number isolates could undermine the use of RAPD-HRM or any other molecular technology. Such genetic attenuation may account for a general decrease seen in titres of rabbit hyperimmune antibodies over time. Before RAPD-HRM can be further advanced as a routine diagnostic tool, strains more representative of the wild-type serovars of a given region need to be identified. Further, RAPD-HRM analysis of reference strains indicates that the routine renewal of reference collections, with new isolates, may be needed to maintain the genetic integrity of the collections.

Details

Title: High-resolution melt-curve analysis of random amplified polymorphic DNA (RAPD–HRM) for the characterisation of pathogenic leptospires: intra-serovar divergence, interserovar convergence, and evidence of attenuation in Leptospira reference collections
Authors: S M Tulsiani (Author) - University of Queensland
Scott B Craig (Author) - University of the Sunshine Coast - Faculty of Science, Health and Education
Glenn C Graham (Author) - University of the Sunshine Coast - Faculty of Science, Health and Education
R C Cobbold (Author) - University of Queensland
M F Dohnt (Author) - Queensland Health Forensic and Scientific Services
M A Burns (Author) - Queensland Health Forensic and Scientific Services
C C Jansen (Author) - Queensland Health Forensic and Scientific Services
L K-P Leung (Author) - University of Queensland
H E Field (Author) - University of Queensland
Lee D Smythe (Author) - Queensland Health Forensic and Scientific Services
Publication details: Annals of Tropical Medicine and Parasitology, Vol.104(5), pp.427-437
Publisher: Maney Publishing
Date published: 2010
DOI: 10.1179/136485910X12786389891047
ISSN: 0003-4983
Organisation Unit: School of Science and Engineering - Legacy; University of the Sunshine Coast, Queensland
Language: English
Record Identifier: 99449451702621
Output Type: Journal article

Metrics

5 File views/ downloads

348 Record Views

4 Times Cited - Web of Science

InCites Highlights

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Collaboration types: Domestic collaboration
Web Of Science research areas: Parasitology; Public, Environmental & Occupational Health; Tropical Medicine

UN Sustainable Development Goals (SDGs)

This output has contributed to the advancement of the following goals:

Source: InCites