scholarly journals Simultaneous Detection and Discrimination of Virulent and Benign Dichelobacter nodosus in Sheep of Flocks Affected by Foot Rot and in Clinically Healthy Flocks by Competitive Real-Time PCR

2014 ◽  
Vol 52 (4) ◽  
pp. 1228-1231 ◽  
Author(s):  
A. Stauble ◽  
A. Steiner ◽  
J. Frey ◽  
P. Kuhnert
2017 ◽  
Vol 30 (2) ◽  
pp. 205-210 ◽  
Author(s):  
Deborah Greber ◽  
Iwan Locher ◽  
Peter Kuhnert ◽  
Marc-André Butty ◽  
Kerstin Holdener ◽  
...  

Virulent ovine foot rot is a contagious foot disease. Given the development and validation of a real-time PCR to detect Dichelobacter nodosus isolates that contain the virulence-associated protease genes aprV2 and aprB2, the diagnosis of foot rot has made considerable progress. We evaluated pooling methods to reduce the number of samples during a foot rot control program. Samples of individual feet were compared to a 4-feet sample of the same sheep. All further analyses based on 4-feet samples (pools-of-5 and pools-of-10 4-feet samples) were compared to samples of individual sheep, and a risk-based herd sampling was evaluated and compared to the whole flock. The sensitivity and specificity of the 4-feet samples for detection of aprV2-positive strains was 93.8% (CI: 87.6–97.5%) and 98.3% (CI: 96.5–99.3%), respectively. The sensitivity and specificity of the pools-of-10 was 86.7% (CI: 78.4–92.7%) and 100.0% (CI: 97.4–100%), respectively. Pools-of-5 were not significantly more sensitive than pools-of-10. The pooling of 4 individual foot samples into one 4-feet sample is an adequate method to reduce the number of samples of individual sheep. The sensitivity of pools-of-5 and pools-of-10 is too imprecise for a control program. Risk-based sampling allowed for a substantial reduction of samples to be tested, had a sensitivity of 95.8% (CI: 78.9–99.9%) and specificity of 100.0% (CI: 88.1–100.0%) when determining the foot rot flock status, and represents an adequate methodology to predict within-flock freedom from infection.


2017 ◽  
Vol 39 (2) ◽  
pp. 175-184
Author(s):  
Z. Zheng ◽  
P. Zhang ◽  
G. He ◽  
K. Liao ◽  
Z. Wang ◽  
...  

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