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Molecular epidemiology of Mycobacterium bovis: exploiting molecular data.

作者信息

Skuce R A, Neill S D

机构信息

Veterinary Sciences Division, Stormont, Belfast, BT4 3SD, UK.

出版信息

Tuberculosis (Edinb). 2001;81(1-2):169-75. doi: 10.1054/tube.2000.0270.

Abstract

'Molecular epidemiology' is defined as the integration of conventional epidemiological approaches with molecular techniques to track specific strains of pathogens in order to understand the distribution of disease in populations. It has become a very powerful tool in the study of Mycobacterium tuberculosis and human tuberculosis, where it has been exploited to provide 'added value' to conventional epidemiological approaches (contact tracing) and has often challenged accepted dogmas. It has been used to confirm epidemiologically suspected transmission, to detect epidemiologically unsuspected transmission, to identify risk factors and environments where transmission is occurring, to detect laboratory errors and to monitor the efficacy of tuberculosis control programmes. For Mycobacterium bovis and bovine tuberculosis, molecular epidemiology has a key role to play in providing more precise epidemiological data on the issues of interbovine transmission and the role of wildlife reservoirs in disease maintenance and transmission. M. bovis strains may also differ in key biological properties, such as virulence, transmissibility, stability and antigenic variation, which may help to explain field observations. There may be correlation between strain type and 'herd level' factors such as breakdown size etc. Molecular 'strain typing' studies have provided useful information in several countries, notably New Zealand, where strain typing data is used as an integral part of M. bovis control schemes, to influence the level of herd testing or wildlife control and to define the extent and spread of infected wildlife. This presentation will review the methods and approaches currently appropriate for M. bovis strain typing and will review selected applications as well as discussing future perspectives and challenges for the application of molecular epidemiology to bovine tuberculosis.

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