Evidence map›Paper›PMID 42792039›Full record

ArticleAntibiotics (Basel, Switzerland)2026

Mastitis-Associated Bacterial Isolates and Antimicrobial Resistance in a Single Dairy Herd in the Akmola Region, Kazakhstan.

Assel Akhmetova, Ayan Dauletov, Alexander Ostrovskii, Nurdina Yerzhanova, Alexandr Shevtsov, Laura Dushayeva, Askar Nametov, Raushan Rychshanova, Asylulan Amirgazin, Marat Kuibagarov

Abstract read
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Article in Antibiotics (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Assel AkhmetovaNational Center for Biotechnology, Astana 010000, Kazakhstan.ORCID 0000-0003-2206-7890
Ayan DauletovNational Center for Biotechnology, Astana 010000, Kazakhstan.
Alexander OstrovskiiNational Center for Biotechnology, Astana 010000, Kazakhstan.ORCID 0009-0006-8139-8285
Nurdina YerzhanovaNational Center for Biotechnology, Astana 010000, Kazakhstan.
Alexandr ShevtsovNational Center for Biotechnology, Astana 010000, Kazakhstan.ORCID 0000-0002-0307-1053
Laura DushayevaVeterinary and Agrotechnology Institute, Zhangir Khan West Kazakhstan Agrarian Technical University, Uralsk 090009, Kazakhstan.
Askar NametovVeterinary and Agrotechnology Institute, Zhangir Khan West Kazakhstan Agrarian Technical University, Uralsk 090009, Kazakhstan.
Raushan RychshanovaScientific Research Institute of Innovative Technologies, Akhmet Baitursynuly Kostanay Regional University, Kostanay 110000, Kazakhstan.
Asylulan AmirgazinNational Center for Biotechnology, Astana 010000, Kazakhstan.ORCID 0000-0001-9418-7758
Marat KuibagarovNational Center for Biotechnology, Astana 010000, Kazakhstan.ORCID 0000-0001-7428-7620

Funding

Ministry of Science and Higher Education of the Republic of Kazakhstan BR28712545
6 · The paper itself

Abstract

BACKGROUND/

objectivesBovine mastitis is a common infection in cattle causing significant economic losses globally in the dairy industry. While bacterial profiles and antimicrobial resistance (AMR) patterns are generally consistent worldwide, comprehensive epidemiological and AMR data from Kazakhstan are lacking. This study characterized mastitis-associated bacterial isolates and their AMR profiles from a single commercial Simmental dairy herd in the Akmola Region, Kazakhstan. Milk samples from 41 cows with clinical mastitis and documented treatment histories were collected.

methodsBacterial identification was performed using MALDI-TOF MS, and antimicrobial susceptibility was tested phenotypically following EUCAST criteria. Whole genome sequencing (WGS) on a subset of isolates analyzed resistance and plasmid content using AMRFinderPlus v3.11.14 and Abricate v1.4.0, with the ResFinder and PlasmidFinder databases, respectively.

resultsAll samples yielded bacterial growth, resulting in 58 isolates across 11 species and five genera, from which

conclusionsThis study offers a comprehensive phenotypic and genomic characterization of mastitis-associated pathogens and their AMR determinants within this single herd, highlighting the co-circulation of tetracycline, lincosamide/macrolide, and aminoglycoside resistance genes. As this study was limited to a single dairy herd, these findings should be regarded as descriptive, farm-level observations rather than being representative of the Akmola Region or Kazakhstan more broadly. These findings support farm-level mastitis surveillance that combines species identification, phenotypic AMR testing, and targeted molecular screening.

Indexed as

Aerococcusantimicrobial resistancebovine mastitisCorynebacteriumEscherichia colimobile genetic elementsStaphylococcusStreptococcussusceptibility testing

Identifiers

PMID42792039
PMCPMC13603081

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.