Abstract

The objectives for this study were to (1) describe the pathogen profile in quarters from cows with clinical mastitis and in cows with subclinical mastitis in southeastern Australia; and (2) describe antimicrobial susceptibility among isolated pathogens. As a secondary objective, we aimed to compare antimicrobial resistance prevalence in pathogens isolated from clinical and subclinical mastitis samples. A convenience sample of dairy herds (n = 65) from 4 regions in southeastern Australia (Gippsland, Northern Victoria, Tasmania, Western Victoria) were invited to submit milk samples from cows with clinical and subclinical mastitis over a 14-mo period (January 2011 to March 2012). Farmers were instructed to collect aseptic quarter milk samples from the first 10 cases of clinical mastitis for each month of the study. In addition, farmers submitted composite milk samples from cows with subclinical mastitis at 1 or 2 sampling occasions during the study period. Aerobic culture and biochemical tests were used to identify isolates. Isolates were classified as susceptible, intermediate, or resistant to a panel of antimicrobial agents based on the zone of growth inhibition around antimicrobial-impregnated disks, with antimicrobial resistance (AMR) classified as nonsusceptibility by combining intermediate and resistant groups into a single category. Generalized linear mixed models were used to compare the prevalence of AMR between clinical and subclinical mastitis isolates. For clinical mastitis samples (n = 3,044), 472 samples (15.5%) were excluded for contamination. Of the remaining samples (n = 2,572), the most common results were Streptococcus uberis (39.2%), no growth (27.5%), Staphylococcus aureus (10.6%), Escherichia coli (8.4%), and Streptococcus dysgalactiae (6.4%). For subclinical mastitis samples (n = 1,072), 425 (39.6%) were excluded due to contamination. Of the remaining samples (n = 647), the most common results were no growth (29.1%), Staph. aureus (29.1%), and Strep. uberis (21.6%). The prevalence of AMR among common isolates was low for the majority of antimicrobial agents. Exploratory analysis found that the probability of Staph. aureus demonstrating resistance to penicillin was 5.16 times higher (95% confidence interval: 1.68, 15.88) in subclinical isolates relative to clinical Staph. aureus isolates. A similar association was observed for amoxicillin with subclinical Staph. aureus isolates being 4.70 times (95% confidence interval: 1.49, 14.75) more likely to be resistant than clinical Staph. aureus isolates. We concluded that the most common bacteria causing clinical mastitis in dairy herds in Australia is likely to be Strep. uberis, whereas Staph. aureus is likely to be the most common cause of subclinical mastitis. Despite decades of antimicrobial use to control these organisms, AMR appears to be uncommon.

Highlights

  • Mastitis is consistently ranked as one of the most significant diseases affecting dairy cattle worldwide (Halasa et al, 2007; Rollin et al, 2015) due to its effects on health, welfare, and productivity

  • The results from this study indicated that Strep. uberis was the most important mastitis-causing pathogen on southeastern Australian dairy farms (39.2% of samples)

  • This finding is consistent with smaller surveys of dairy herds in the Gippsland region, which found that Strep. uberis was isolated from 22.7% (Watson et al, 1996) and 26.6% (Gunn et al, 1999) of clinical mastitis samples

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Summary

Introduction

Mastitis is consistently ranked as one of the most significant diseases affecting dairy cattle worldwide (Halasa et al, 2007; Rollin et al, 2015) due to its effects on health, welfare, and productivity. It is estimated that udder health issues, of which mastitis is a major component, cost the Australian dairy industry A$150M (US$110M) per year (Brightling et al, 2018), and each individual case of clinical mastitis costs A$360 Understanding the pathogen profile for mastitis is critical to management. Understanding the industry and farm-level pathogen profiles for clinical and subclinical mastitis can inform treatment protocols and identify interventions to prevent new cases through the strategic targeting of likely reservoirs of infection. There have been no large surveys of mastitis etiol-

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