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Direct serogrouping of Dichelobacter nodosus from Victorian farms using conventional multiplex polymerase chain reaction

Overview of attention for article published in BMC Research Notes, February 2018
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Title
Direct serogrouping of Dichelobacter nodosus from Victorian farms using conventional multiplex polymerase chain reaction
Published in
BMC Research Notes, February 2018
DOI 10.1186/s13104-018-3229-5
Pubmed ID
Authors

Nickala Best, Jacek Gwozdz, Robert Suter, Grant Rawlin, Travis Beddoe

Abstract

Dichelobacter nodosus is the causative agent of footrot in sheep. Ovine footrot is a major problem in Australia that results in large economic losses and a represents a very significant animal welfare issue. D. nodosus is divided into 10 serogroups (A-I, M), based on sequence variation in the type IV fimbriae gene, fimA. Control of the bacteria is possible through use of serogroup-specific vaccination, however traditional identification of the serogroups of D. nodosus on infected sheep is time-consuming and costly. With the aim of reducing time and cost, a PCR assay was used to identify serogroups of D. nodosus directly from foot swabs of infected sheep in Victoria. It was shown that serogroup B was most common (10 locations), followed by A, G and H (4 locations), I and C (2 locations), D, E and F (1 location). Infections with multiple serotypes were observed in 50% of farms, with the remaining 50% having only a single serogroup detected. The ability to identify serogroups quickly and cheaply direct from foot swabs will aid the understanding of the epidemiology of D. nodosus and support control programs.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 25%
Student > Bachelor 2 17%
Student > Master 2 17%
Professor 1 8%
Student > Doctoral Student 1 8%
Other 1 8%
Unknown 2 17%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 6 50%
Agricultural and Biological Sciences 2 17%
Biochemistry, Genetics and Molecular Biology 1 8%
Social Sciences 1 8%
Unknown 2 17%