Literature DB >> 20413230

Relationship between S. aureus gene pattern and dairy herd mastitis prevalence.

Renata Piccinini1, Vitaliano Borromeo, Alfonso Zecconi.   

Abstract

The importance to evaluate Staphylococcus aureus virulence analysing the combination of virulence genes is largely recognised, and the recent availability of simplified microarray tools allows performing these analyses also in the dairy field. The combined availability of herd-specific S. aureus mastitis prevalence data, isolates from these herds, and microarray technology offered the opportunity to investigate the relationship between S. aureus genetic pattern and their prevalence among dairy herds. Eleven commercial dairy herds following a S. aureus control programme were enrolled in the study, and 33 S. aureus isolates were collected from these herds. Diagnostic DNA microarrays based on the array-tube platform were used for genotyping of staphylococcal DNA. The genetic analysis of the 157-genes microarray showed as only 19 genes were present in all the isolates considered, and among them the genes coding for the leukocidin subunits (LukF, LukS and LukY), haemolysins (hla, hld and an unnamed haemolysin) and enterotoxin X. Several genes considered in the arrays were absent in all the isolates, including the ones encoding the resistance to most of the antimicrobials, except for tetracycline. In our isolates, some agr alleles were never identified (B-III, C-III, D-III, C-IV and D-IV). The comparison of epidemiological data with the genetic pattern suggests that agr type II is associated to the most diffusive isolates, being recovered from the largest number of herds and with the highest frequency. Microarray technique showed to be a useful method to assess the characteristics of virulence of S. aureus isolated in dairy herds and to investigate the relationship with the prevalence of the microorganism. These results support previous evidence that specific gene patterns could be associated to S. aureus mastitis. (c) 2010 Elsevier B.V. All rights reserved.

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Year:  2010        PMID: 20413230     DOI: 10.1016/j.vetmic.2010.03.005

Source DB:  PubMed          Journal:  Vet Microbiol        ISSN: 0378-1135            Impact factor:   3.293


  6 in total

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Authors:  Valerio M Sora; Sara Panseri; Maria Nobile; Federica Di Cesare; Gabriele Meroni; Luca M Chiesa; Alfonso Zecconi
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2.  Prevalence, antibiotic resistance, virulence and genetic diversity of Staphylococcus aureus isolated from bulk tank milk samples of U.S. dairy herds.

Authors:  Kruthika Patel; Sandra M Godden; Erin E Royster; Brian A Crooker; Timothy J Johnson; Emily A Smith; Srinand Sreevatsan
Journal:  BMC Genomics       Date:  2021-05-20       Impact factor: 3.969

3.  Virulence Genes of S. aureus from Dairy Cow Mastitis and Contagiousness Risk.

Authors:  Giada Magro; Stefano Biffani; Giulietta Minozzi; Ralf Ehricht; Stefan Monecke; Mario Luini; Renata Piccinini
Journal:  Toxins (Basel)       Date:  2017-06-21       Impact factor: 4.546

4.  Staphylococcus aureus Isolates from Bovine Mastitis in Eight Countries: Genotypes, Detection of Genes Encoding Different Toxins and Other Virulence Genes.

Authors:  Valentina Monistero; Hans Ulrich Graber; Claudia Pollera; Paola Cremonesi; Bianca Castiglioni; Enriqueta Bottini; Alejandro Ceballos-Marquez; Laura Lasso-Rojas; Volker Kroemker; Nicole Wente; Inge-Marie Petzer; Carlos Santisteban; Jeff Runyan; Marcos Veiga Dos Santos; Bruna Gomes Alves; Renata Piccinini; Valerio Bronzo; Mohamed Salah Abbassi; Meriam Ben Said; Paolo Moroni
Journal:  Toxins (Basel)       Date:  2018-06-17       Impact factor: 4.546

5.  Staphylococcal Enterotoxin C Is an Important Virulence Factor for Mastitis.

Authors:  Rendong Fang; Jingchun Cui; Tengteng Cui; Haiyong Guo; Hisaya K Ono; Chun-Ho Park; Masashi Okamura; Akio Nakane; Dong-Liang Hu
Journal:  Toxins (Basel)       Date:  2019-03-02       Impact factor: 4.546

6.  Genomic Distinctions of LA-MRSA ST398 on Dairy Farms From Different German Federal States With a Low Risk of Severe Human Infections.

Authors:  Tobias Lienen; Arne Schnitt; Jens Andre Hammerl; Sven Maurischat; Bernd-Alois Tenhagen
Journal:  Front Microbiol       Date:  2021-01-08       Impact factor: 5.640

  6 in total

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