Whole Genome Sequencing for Determining the Source of Mycobacterium bovis Infections in Livestock Herds and Wildlife in New Zealand

Marian Price-Carter, Rudiger Brauning, Geoffrey W de-Lisle, Paul Livingstone, Mark A Neill, Jane Sinclair, Brent Paterson, Gillian Atkinson, Garry Knowles, Kevin Crews, Joseph Crispell, Rowland Kao, Suelee Robbe-Austerman, Tod Stuber, Julian Parkhill, James L. N. Wood, Simon Harris, Desmond M Collins

Research output: Contribution to journalArticlepeer-review

Abstract

The ability to DNA fingerprint Mycobacterium bovis isolates helped to define the role of wildlife in the persistence of bovine tuberculosis in New Zealand. DNA fingerprinting results currently help to guide wildlife control measures and also aid in tracing the source of infections that result from movement of livestock. During the last 5 years we have developed the ability to distinguish New Zealand (NZ) M. bovis isolates by comparing the sequences of whole genome sequenced (WGS) M. bovis samples. WGS provides much higher resolution than our other established typing methods and greatly improves the definition of the regional localization of NZ M. bovis types. Three outbreak investigations are described and results demonstrate how WGS analysis has led to the confirmation of
epidemiological sourcing of infection, to better definition of new sources of infection by ruling out other possible sources, and has revealed probable wildlife infection in an area considered to be free of infected wildlife. The routine use of WGS analyses for sourcing new M. bovis infections will be an important component of the strategy employed to eradicate bovine TB from NZ livestock and wildlife.
Original languageEnglish
Article number272
Number of pages13
JournalFrontiers in Veterinary Science
Volume5
DOIs
Publication statusPublished - 30 Oct 2018

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