BMC Genomics (Apr 2011)

Transcriptomic analysis of milk somatic cells in mastitis resistant and susceptible sheep upon challenge with <it>Staphylococcus epidermidis </it>and <it>Staphylococcus aureus</it>

  • Tasca Christian,
  • Foulon Eliane,
  • Caubet Cécile,
  • Toufeer Mehdi,
  • Bonnefont Cécile MD,
  • Aurel Marie-Rose,
  • Bergonier Dominique,
  • Boullier Séverine,
  • Robert-Granié Christèle,
  • Foucras Gilles,
  • Rupp Rachel

DOI
https://doi.org/10.1186/1471-2164-12-208
Journal volume & issue
Vol. 12, no. 1
p. 208

Abstract

Read online

Abstract Background The existence of a genetic basis for host responses to bacterial intramammary infections has been widely documented, but the underlying mechanisms and the genes are still largely unknown. Previously, two divergent lines of sheep selected for high/low milk somatic cell scores have been shown to be respectively susceptible and resistant to intramammary infections by Staphylococcus spp. Transcriptional profiling with an 15K ovine-specific microarray of the milk somatic cells of susceptible and resistant sheep infected successively by S. epidermidis and S. aureus was performed in order to enhance our understanding of the molecular and cellular events associated with mastitis resistance. Results The bacteriological titre was lower in the resistant than in the susceptible animals in the 48 hours following inoculation, although milk somatic cell concentration was similar. Gene expression was analysed in milk somatic cells, mainly represented by neutrophils, collected 12 hours post-challenge. A high number of differentially expressed genes between the two challenges indicated that more T cells are recruited upon inoculation by S. aureus than S. epidermidis. A total of 52 genes were significantly differentially expressed between the resistant and susceptible animals. Further Gene Ontology analysis indicated that differentially expressed genes were associated with immune and inflammatory responses, leukocyte adhesion, cell migration, and signal transduction. Close biological relationships could be established between most genes using gene network analysis. Furthermore, gene expression suggests that the cell turn-over, as a consequence of apoptosis/granulopoiesis, may be enhanced in the resistant line when compared to the susceptible line. Conclusions Gene profiling in resistant and susceptible lines has provided good candidates for mapping the biological pathways and genes underlying genetically determined resistance and susceptibility towards Staphylococcus infections, and opens new fields for further investigation.