Evaluation and cluster analysis of inflammatory reactions of dairy cattle mastitis pathogens in milk samples submitted for microbiological examination

  1. Diaz-Cao, Jose M. 1
  2. Barreal, María L. 2
  3. Pombo, Belén 2
  4. Prieto, Alberto 1
  5. Alonso, José M.
  6. Iglesias, Antonio 4
  7. Lorenzana, Roberto 2
  8. López-Novo, Cynthia 1
  9. Díez-Baños, Pablo 1
  10. Fernández, Gonzalo 1
  1. 1 Universidade de Santiago de Compostela, Faculty of Veterinary Sciences, Dept. Animal Pathology. 27002 Lugo
  2. 2 Laboratorio Interprofesional Gallego de Análisis de la Leche (LIGAL), Edificio de Laboratorios Agrarios. 15318 Abegondo, A Coruña
  3. 3 Universidade de Santiago de Compostela, Faculty of Sciences, Dept. Statistics, Mathematical Analysis and Optimization. 27002 Lugo
  4. 4 niversidade de Santiago de Compostela, Faculty of Veterinary Sciences, Dept. Anatomy, Animal Production and Clinical Veterinary Sciences. 27002 Lugo
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Revista:
Spanish journal of agricultural research

ISSN: 1695-971X,  2171-9292

Ano de publicación: 2019

Volume: 17

Número: 4

Tipo: Artigo

DOI: 10.5424/SJAR/2019174-15316 DIALNET GOOGLE SCHOLAR lock_openAcceso aberto editor

Outras publicacións en: Spanish journal of agricultural research

Resumo

Aim of study: We have classified into homogenous groups a wide spectrum of mammary pathogens according to their frequency of isolation in clinical mastitis and their somatic cell counts in non-clinical mastitis.Area of study: The study was conducted in Galicia (NW Spain)Material and methods: 163,741 dairy cattle quarter milk samples were analyzed. We identified mastitis pathogens to the species level and performed a cluster analysis to classify these microorganisms by their median of Linear Score (mLS), percentage of isolation in clinical mastitis samples (%ICS) and percentage of isolation in samples with somatic cell counts under 100,000 cells/mL (%ISU100).Main results: Forty-three different species were isolated. Cluster analysis identified 4 groups of pathogens; mLS and %ICS progressively increased from Group I to Group IV and %ISU100 decreased. However, several pathogens included in groups II and III showed %ISU100 values higher than 2% and 3%. Minor pathogens were mainly clustered in Group I (e.g., Corynebacterium spp. and most of Staphylococcus spp.), while known major pathogens were included in Groups II, III y IV. Species of the same family, genus or microbiological group like Enterobacteriaceae or Enterococcus spp. were frequently separated into different groups, thus showing heterogeneity among the members of these groups.Research highlights: Results obtained here may aid in assessing the pathogenicity of sporadic pathogens in relation to more well-known pathogens and suggest that the traditional classification between minor and major pathogens is an oversimplification of the reality, especially for the latter category.

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