1. Transcriptomic analysis of milk somatic cells in mastitis resistant and susceptible sheep upon challenge with Staphylococcus epidermidis and Staphylococcus aureus
- Author
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Cécile Bonnefont, Mehdi Toufeer, Christèle Robert-Granié, Christian Tasca, Rachel Rupp, Cécile Caubet, Marie-Rose Aurel, Gilles Foucras, Eliane Foulon, Dominique Bergonier, Séverine Boullier, Ecole Nationale Vétérinaire de Toulouse - ENVT (FRANCE), Institut National Polytechnique de Toulouse - INPT (FRANCE), Institut National de la Recherche Agronomique - INRA (FRANCE), Station d'Amélioration Génétique des Animaux (SAGA), Institut National de la Recherche Agronomique (INRA), Interactions hôtes-agents pathogènes [Toulouse] (IHAP), Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Domaine expérimental de La Fage (LA FAGE), This work was financed by the European Network of Excellence EADGENE, ANR Génanimal and APIS-GENE., European Project: 26567,EADGENE, BMC, Ed., European Animal Disease Genomics Network of Excellence for animal health and food safety - EADGENE - 26567 - OLD, Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT), Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE), and Foucras, Gilles
- Subjects
Somatic cell ,Staphylococcus ,Cell Count ,Mastitis ,Microarray ,medicine.disease_cause ,Staphylococcus epidermidis ,Leukocytes ,Cluster Analysis ,Gene Regulatory Networks ,milk somatic cell ,Oligonucleotide Array Sequence Analysis ,Principal Component Analysis ,0303 health sciences ,biology ,04 agricultural and veterinary sciences ,Staphylococcal Infections ,Milk ,Staphylococcus aureus ,[SDV.BBM.GTP] Life Sciences [q-bio]/Biochemistry, Molecular Biology/Genomics [q-bio.GN] ,Female ,staphylococcus ,Metabolic Networks and Pathways ,Research Article ,Biotechnology ,sheep ,lcsh:QH426-470 ,lcsh:Biotechnology ,Sheep Diseases ,Staphylococcal infections ,03 medical and health sciences ,lcsh:TP248.13-248.65 ,[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry, Molecular Biology/Genomics [q-bio.GN] ,Biologie animale ,Genetics ,medicine ,Animals ,transcriptomic ,genetic selection ,Gene ,030304 developmental biology ,Gene Expression Profiling ,0402 animal and dairy science ,biology.organism_classification ,medicine.disease ,040201 dairy & animal science ,Bacterial Load ,Immunity, Innate ,Gene expression profiling ,lcsh:Genetics ,Médecine vétérinaire et santé animal ,Immunology ,Biologie cellulaire - 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.
- Published
- 2011