Investigating the Spread of Antimicrobial Drug-Resistant Microorganisms in Dairy Sheep Farms: A Follow-Up Study

Author:

Mataragka Antonia1ORCID,Tzimotoudis Nikolaos2ORCID,Mavrommatis Alexandros3,Tsiplakou Eleni3ORCID,Symeonidou Andrianna1,Kotsikori Maria1,Zervas George3,Ikonomopoulos John1

Affiliation:

1. Laboratory of Anatomy and Physiology of Farm Animals, Department of Animal Science, School of Animal Biosciences, Agricultural University of Athens, Iera Odos 75, GR-11855 Athens, Greece

2. Laboratory of Microbiology, Hellenic Army Biological Research Center, GR-15236 Athens, Greece

3. Laboratory of Nutritional Physiology and Feeding, Department of Animal Science, School of Animal Biosciences, Agricultural University of Athens, Iera Odos 75, GR-11855 Athens, Greece

Abstract

Recently, we investigated the spread of antimicrobial drug-resistant (AMR) microorganisms in five dairy sheep farms in Greece to identify indicators for improved field surveillance. The high percentage of samples of feeds and milk positive to Escherichia coli and Staphylococci, including AMR isolates, recorded in this previous study generated the interest to further investigate the parameters likely to affect positivity of these certain indicators in the same farms. For this reason, 76 samples were collected, comprising milk collected from the raw milk tank (n = 5), swabs from milking shells (n = 48), feeds (n = 6), and home-grown feeds (n = 17). Samples were processed for the detection of the pathogens mentioned above and the assessment of AMR using conventional microbiology and the polymerase chain reaction. The overall percentage of positive samples was 71.1%. The percentage of isolates that were characterised as AMR of those detected was 27.8% (30% Staphylococci, 21.4% E. coli). The results indicate that AMR testing in milking shell swabs is advisable for improving AMR stewardship and should be regarded as complimentary to testing samples from the raw milk tank, because these may not depict the microbial burden of milking shells. Furthermore, the spread and antimicrobial resistance of tested bacteria in feeds are characterised by considerable variability and should therefore be assessed longitudinally.

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Reference10 articles.

1. Food and Agriculture Organization (2023, March 23). Drivers, Dynamics and Epidemiology of Antimicrobial Resistance in Animal Production. Available online: http://www.fao.org/3/i6209e/i6209e.pdf.

2. Antimicrobial Drug Resistance in Sheep Farms in Greece: Assessment of the Current Situation and Investigation Towards Improving Surveillance and Control;Tzimotoudis;Acta Sci. Vet. Sci.,2022

3. Use of antimicrobials in food animals and impact of transmission of antimicrobial resistance on humans;Ma;Biosaf. Health,2021

4. The European Committee on Antimicrobial Susceptibility Testing (2023, May 10). Breakpoint Tables for Interpretation of MICs and Zone Diameters. Version 13.0. Available online: http://www.eucast.org.

5. Multidrug resistant, extensively drug-resistant and pandrug-resistant bacteria: An international expert proposal for interim standard definitions for acquired resistance;Magiorakos;Clin. Microbiol. Infect.,2012

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