Skip to main content

Staphylococcus aureus seroproteomes discriminate ruminant isolates causing mild or severe mastitis


Staphylococcus aureus is a major cause of mastitis in ruminants. In ewe mastitis, symptoms range from subclinical to gangrenous mastitis. S. aureus factors or host-factors contributing to the different outcomes are not completely elucidated. In this study, experimental mastitis was induced on primiparous ewes using two S. aureus strains, isolated from gangrenous (strain O11) or subclinical (strain O46) mastitis. Strains induced drastically distinct clinical symptoms when tested in ewe and mice experimental mastitis. Notably, they reproduced mild (O46) or severe (O11) mastitis in ewes. Ewe sera were used to identify staphylococcal immunoreactive proteins commonly or differentially produced during infections of variable severity and to define core and accessory seroproteomes. Such SERological Proteome Analysis (SERPA) allowed the identification of 89 immunoreactive proteins, of which only 52 (58.4%) were previously identified as immunogenic proteins in other staphylococcal infections. Among the 89 proteins identified, 74 appear to constitute the core seroproteome. Among the 15 remaining proteins defining the accessory seroproteome, 12 were specific for strain O11, 3 were specific for O46. Distribution of one protein specific for each mastitis severity was investigated in ten other strains isolated from subclinical or clinical mastitis. We report here for the first time the identification of staphylococcal immunogenic proteins common or specific to S. aureus strains responsible for mild or severe mastitis. These findings open avenues in S. aureus mastitis studies as some of these proteins, expressed in vivo, are likely to account for the success of S. aureus as a pathogen of the ruminant mammary gland.


Mastitis is the first cause of economical loss in milk production worldwide [1] and is a major concern in milk transformation [2]. The problem is however currently hard to tackle for mastitis in dairy cows, sheep and goats. Especially, S. aureus mastitis is typically refractory to antibiotic treatment. Prophylactic measures, including the development of an effective vaccine, have so far proven unsuccessful for the control of the disease. S. aureus is well-known to produce a large variety of virulence factors (including numerous proteins like toxins or adhesins). Consequently, it induces a large panel of infections, and the clinical acuteness of each infection type may also be variable. For example, S. aureus mastitis in dairy sheep ranges from subclinical mastitis to lethal gangrenous mastitis. Such variability relies on staphylococcal virulence factors as well as host factors. Until now, no study has been performed to identify the transcripts and proteins commonly or specifically produced in vivo by S. aureus strains during mastitis. To obtain such information using direct transcriptomic or proteomic approaches upon S. aureus samples collected within the infection site stumbles on technical bottlenecks such as the low amounts of S. aureus cells and the difficulty to localize the infection site within the udder.

Serological proteome analysis (SERPA) is a promising technique that can be used to shed light on the host's immune response to staphylococcal infection. This technique was used to mine new antigen candidates for vaccine development in human infections [3]. SERPA has also been used to identify proteins produced in vivo, during infection [4]. In combination with whole genome shotgun sequencing, SERPA is a powerful tool to identify immunoreactive proteins produced by S. aureus during the infection [5].

Genotyping studies indicated that S. aureus strains isolated from dairy sheep farms in the south east of France were clonally related and are predominantly represented by a single pulse-field gel electrophoresis (PFGE) type OV/OV' [6, 7]. Such close phylogenetic relationship was recently confirmed at the global scale using Multi Locus Sequence Typing and comparative genome hybridization [8, 9]. Among strains in this OV/OV' PFGE profile, one was isolated from subclinical mastitis (O46) and another one from gangrenous mastitis (O11). Few genetic differences were identified [10] and their role in the development of mastitis with such different severity has not yet been determined. Moreover identification of the proteins produced by S. aureus in mastitis with different severity is an important step to better understand the host-pathogen interactions and to provide targets for the development of efficient prevention or treatment strategies against mastitis. Therefore, we applied SERPA to identify proteins that are produced by both S. aureus strains O11 and O46 (core seroproteome) and the ones specifically produced by each strain ("accessory" seroproteome).

Materials and methods

Bacterial strains, growth conditions and preparation of protein samples

S. aureus strains used in this study are presented in Table 1. S. aureus O46 was isolated from a case of ovine subclinical mastitis and O11 from a gangrenous lethal mastitis [10]. Genetic and genotypic background of S. aureus O46 and O11 are well-documented. They share the same pulsotype (OV/OV') and are representative of the major lineage found associated to ewe mastitis in south east of France [6, 7]. Growth conditions and preparation of protein extracts were as described in Le Maréchal et al. 2009 [11]. Briefly, overnight cultures in BHI were diluted 1:1000 in fresh RPMI 1640 medium (Sigma, Saint Quentin Fallavier, France). RPMI was extemporaneously depleted of iron (and hereafter referred to as iron-depleted RPMI) by adding deferoxamine (0.15 mM) (Sigma). Growth conditions in which there is restriction in the bioavailability of iron can indeed lead to an increase of the expression of virulence factors which are normally expressed in vivo [12]. S. aureus strains were grown in 500 mL flasks under agitation (150 rpm) at 37 °C (a flask-to-broth volumetric ratio of 5), for aerobic conditions, or in falcon tubes (50 mL) completely filled with medium and incubated at 37 °C without agitation for anaerobic conditions. Protein samples for supernatant, cell wall or total fraction were prepared exactly as previously described [11].

Table 1 Staphylococcus aureus strains used in this study

Genome sequencing of O11 and O46 strains

To facilitate the analysis of SERPA results, the genome of the two strains used in experimental infection was fully sequenced using the Solexa technology (P Mayer, L Farinelli, and E Kawashima, 1997. Patent application WO98/44151) according to the manufacturer's protocol (Illumina, San Diego, CA, USA). Briefly, genomic DNA was physically fragmented by nebulization into 50- to 500-bp fragments. After end repair and ligation of the bar-coded paired-end adaptors, the products were purified on agarose gel to recover products with inserts of ~200 bp. Quality control was performed by cloning an aliquot of the library into a TOPO plasmid and capillary sequencing eight clones per library. The samples were then used to generate DNA colonies using one channel of a paired-end flow cell at dilutions of 4 pM. The flow cell was then submitted to 2 × 74 cycles of sequencing on the genome analyzer. Base calling was performed using the GAPipeline 1.4.0 software; a total of 27.6 million reads (pass filter) were obtained. After bar code selection, 13.9 and 11.8 million reads of 71 bases in length were obtained for the strains O11 and O46 respectively. The pool of sequences obtained was analyzed and assembled using the Edena assembler [13], which resulted in a set of 87 and 96 contigs for O11 and O46, respectively. The gene content of each strain (2787 and 2822 Coding Sequences -CDSs- for O11 and O46, respectively) was thus established and used in protein identification after SERPA. Detailed genome analysis of these strains is described elsewhere (Le Maréchal et al., submitted).

2-Dimensional Electrophoresis (2-DE)

Samples (200 μg of proteins for Coomassie blue staining and 50 μg for Western blotting) were precipitated with 2D clean up kit (GE Healthcare, Orsay, France) according to the manufacturer's instructions. Pellets were solubilised in sample solution containing 7 M urea, 2 M thio-urea, 25 mM dithiothreitol (DTT), 4% (w/v) 3-[(3-Cholamidopropyl)dimethylammonio]-1-propane-sulfonate (CHAPS) and 2% (w/v) ampholyte containing buffer (IPG-Buffer 4-7 or 3-10 NL, GE Healthcare). Isoelectric focusing was carried out using pH 4 to 7 (Cell wall and total proteins) or 3 to 10 NL (exoproteins) 13 cm Immobiline Dry Strips on a Multiphor II electrophoresis system (Amersham Biosciences; GE Healthcare, Orsay, France) for a total of 60 kVh using a standard procedure described previously [14]. The second dimensional separation was performed on the Ettan™ DALTtwelve electrophoresis system (GE Healthcare) using 14% acrylamide separating gels without a stacking gel at a voltage of 50 V for 1 h and 180 V for about 7 h. Kaleidoscope Prestained Standards (Biorad) were used as standard. Gels were transferred onto membrane or stained with R250 Coomassie blue (Serva, Heildelberg, Germany) or MS-compatible silver nitrate (Sigma) [15].

Intramammary challenge with S. aureus in ewes

Experimental mastitis was performed according to the Regional Committee for Animal Use and Care (Côte d'Azur, France) and is recorded under reference NCA/2008-14/12-09. Healthy lactating primiparous ewes of Lacaune breeds were selected based on the absence of intramammary infections and milk somatic cell counts below 100 000 cells/mL. Repeated full bacteriological analysis of milk from the two quarters that were going to be infected showed that the ewes were negative for Staphylococcus sp. and Mycoplasma sp. Absence of nasal carriage for staphylococci was also checked after enrichment and culturing of swab samples of the nares of ewes on selective media, as described previously [6]. At D0, 12 ewes were divided into 2 groups and urethral catheters (Portex® Jackson Cat Catheter, Coveto, France) were inserted into the teat canal after a thorough disinfection of the teat orifice with 70% ethanol. 1 mL PBS containing 20 CFU of S. aureus (O11 or O46) was injected through the catheter, which was removed afterwards. Six ewes were thus infected by strain O11 (group O11) and six by strain O46 (group O46). Severity of the mastitis induced in ewes was estimated according to criteria presented in Additional file 1, Table S1. Mastitis was classified as subclinical, clinical, pyogenic and gangrenous. Classification was based on clinical symptoms, presence of S. aureus cells and Somatic Cell Count (SCC) in milk.

Sample processing

Sera from ewes were prepared from blood samples collected aseptically from the jugular vein of the animals at D0, D7, D14, D21 and D28 post inoculation (pi). Briefly, blood samples were kept for 2 h at room temperature before centrifugation. Sera were then stored at -20°C. Milk samples were taken 24 and 36 h pi for bacteriological examination and determination of SCC. Milk was 1/10 diluted and 100 μL of this dilution was plated on selective Rabbit Plasma Fibrinogen Baird-Parker medium to confirm S. aureus presence in the mammary gland. SCC was measured with the Fossomatic method [16] to follow the onset of the infection.

Western blot analysis

Total cell lysates were prepared as previously described [11]. Total protein extracts of S. aureus strains O11 and O46 were separated by SDS-PAGE on 12% acrylamide separating slab gels (70 × 100 × 0.5 mm), with a 4% acrylamide stacking gel on a mini-protean III gel system (BioRad, Ivry sur Seine, France) according to Laemmli [17]. Protein migration was performed for 2 h at room temperature at constant 80 V voltage. Samples were diluted in sample buffer and denatured at 100 °C for 3 min. Gels were transferred onto a PVDF membrane (GE Healthcare) at constant 250 mA amperage in Towbin transfer buffer [18] using a Trans-Blot cell (Biorad) for 1.25 h. Membranes were washed three times with Tris Buffered Saline (TBS) at pH 7.5 and saturated in blocking solution (3% non-fat dry milk in TBS with 0.3% Tween 20 (TBS-T)) at 4 °C overnight. After saturation in blocking solution, membranes were washed 3 × 10 min with TBS-T and exposed to the different ewe sera used as primary antibody for 4 h at room temperature. After washing, membranes were incubated with alkaline phosphatase conjugated anti-sheep IgG (Sigma) diluted 1:15,000 in 25 mL blocking solution for 1 h and finally BCIP/NBT (Sigma) was used to visualize immunoreactive proteins, according to the manufacturer's instructions.

Selection of the hyper-immune sera

Sera samples were analysed by western blotting as described above. Sera sampled on D0, D7, D14, D21 and D28 pi were compared using the mini-protean II Multiscreen apparatus (Biorad) (600 μL of serum diluted 1:10,000 in blocking solution). Immunostained Western blots were scanned using an Image Scanner II (Amersham biosciences) and further analyzed using Image- Quant 1D software. The number, volume and area of bands were taken into account for the analysis. Optimal dilution for the selected sera was determined as described above. Sera and dilutions yielding the best ratio signal/background were selected.

Identification of immunoreactive proteins

Bacterial proteins separated by 2-DE were transferred onto a PVDF membrane (GE Healthcare) as described above. Series of four gels were migrated and treated in parallel. Three gels were used for immunoblotting, and the fourth one was Coomassie blue-stained for spot matching and further identification. After saturation in blocking solution the membranes were treated with selected sera in blocking solution during 4 h. Then, the membranes were washed with TBS-T and incubated with alkaline phosphatase conjugated anti-sheep IgG (Sigma) diluted 1:15 000 in 25 mL blocking solution for 1 h. Finally BCIP/NBT (Sigma) was used to visualize immunoreactive proteins, according to the manufacturer's instructions. Membranes were scanned using an Image Scanner II (Amersham biosciences) and further analyzed using Image- Master 2D software. Immunoblot profiles for 2-DE-separated proteins were reproducible in at least two individual experiments. Images of the 2D electrophoresis gels and the BCIP-NBT treated membranes were compared to detect immunoreactive proteins. Spots that were absent or had a significantly different intensity in one strain were considered as proteins that differed between O11 and O46. Spots corresponding to proteins of interest were excised and identified using Nano-Liquid Chromatography (Nano-LC) MS/MS analysis.

Nano-LC MS/MS analysis

Proteins were identified by tandem mass spectrometry (MS/MS) after an in-gel trypsin digestion adapted from Shevchenko [19]. Briefly, gel pieces were excised from the gel, washed with acetonitrile and ammonium bicarbonate solution, and then dried under vacuum in a SpeedVac concentrator (SVC100H-200; Savant, Thermo Fisher Scientific, Waltham, MA, USA). In-gel trypsin digestion was performed overnight at 37 °C and stopped with spectrophotometric-grade trifluoroacetic acid (TFA) (Sigma-Aldrich). The supernatants containing peptides were then vacuum dried in a Speed-Vac concentrator and stored at -20 °C until mass spectrometry analysis. Nano-LC experiments were performed using an on-line liquid chromatography tandem mass spectrometry (MS/MS) setup using a Dionex U3000-RSLC nano-LC system fitted to a QSTAR XL (MDS SCIEX, Ontario, Canada) equipped with a nano-electrospray ion source (ESI) (Proxeon Biosystems A/S, Odense, Denmark). Samples were first concentrated on a PepMap 100 reverse-phase column (C18, 5 μm, 300-μm inner diameter (i.d.) by 5 mm length) (Dionex, Amsterdam, The Netherlands). Peptides were separated on a reverse-phase PepMap column (C18, 3 μm, 75 μm i.d. by 150 mm length) (Dionex) at 35 °C, using solvent A (2% (vol/vol) acetonitrile, 0.08% (vol/vol) formic acid, and 0.01% (vol/vol) TFA in deionized water) and solvent B (95% (vol/vol) acetonitrile, 0.08% (vol/vol) formic acid, and 0.01% (vol/vol) TFA in deionized water). A linear gradient from 10 to 50% of solvent B in 40 min was applied for the elution at a flow rate of 0.3 μL/min. Eluted peptides were directly electrosprayed into the mass spectrometer operated in positive mode. A full continuous MS scan was carried out followed by three data-dependent MS/MS scans. Spectra were collected in the selected mass range 400 to 2 000 m/z for MS and 60 to 2 000 m/z for MS/MS spectra. The three most intense ions from the MS scan were selected individually for collision-induced dissociation (1+ to 4+ charged ions were considered for the MS/MS analysis). The mass spectrometer was operated in data-dependent mode automatically switching between MS and MS/MS acquisition using Analyst QS 1.1 software. The instrument was calibrated by multipoint calibration using fragment ions that resulted from the collision-induced decomposition of a peptide from β-casein, β-CN (193-209). The proteins present in the samples were identified from MS and MS/MS data by using MASCOT v.2.2 software for search into two concatenated databases: (i) a homemade database containing all the predicted proteins of the S. aureus strains O11 and O46 used in this study and (ii) a portion of the UniProtKB database corresponding to the S. aureus taxonomic group [20]. Search parameters were set as follows. A trypsin enzyme cleavage was used, the peptide mass tolerance was set to 0.2 Da for both MS and MS/MS spectra, and two variable modifications (oxidation of methionine and deamidation of asparagine and glutamine residues) were selected. For each protein identified in NanoLC-ESI-MS/MS, a minimum of four peptides with MASCOT score corresponding to a P value below 0.05 or an Exponentially Modified Protein Abundance Index [21] greater than 0.4 were necessary for validation with a high degree of confidence. For automatic validation of the peptides from MASCOT search results, the 1.19.2 version of the IRMa software was used [22].

Intramammary infection with S. aureus in mice

The animal study was conducted according to current Good Scientific Practice-principles (2000) and approved by the Ethical Committee of the Faculty of Veterinary Medicine, Ghent University (Belgium). Sixteen CD-1 lactating female mice (Harlan Laboratories Inc., Horst, The Netherlands) were used 12-14 days after birth of the offspring. The pups were removed 1 to 2 h before bacterial inoculation of mammary glands and a mixture of ketamine/xylazine was used for anesthesia of the lactating mice. The orifice of both L4 (on the left) and R4 (on the right) abdominal mammary glands was exposed by a small cut at the near end of the teat. 100 μL PBS without (n = 2) or with 150 CFU of S. aureus strain O11 (n = 7) or O46 (n = 7) was injected slowly with a 32-gauge blunt needle through the teat canal. Rectal body temperature of the mice was measured at 0 h and 18 h pi. At 18 h pi mice were anesthetized with ketamine/xylazine to collect blood by cardiac puncture and serum was obtained after clotting at 37 °C and cold centrifugation. After cardiac puncture, mice were euthanized by cervical dislocation and mammary glands were isolated. Glands of six mice of each group were homogenated and bacterial CFU was quantified by plating serial logarithmic dilutions in PBS. Lysates from the homogenates were prepared in 1% NP40-based buffer. Serum and mammary gland lysates were quantified for IL-1β, IL-6, TNF, KC and MCP-1 using BD Cytometric Bead Array technology. Mammary glands (inoculated and PBS control glands) of 4 mice (2 from each group) were embedded and used for further histopathological analysis (Vetopath, Antibes, France).

Statistical analyses

A Fisher test was used with a risk α = 10% to determine the difference between the ewes infected with S. aureus O11 and the ewes infected with strain O46. Differences in rectal body temperature and cytokine levels in the mouse mastitis model were analyzed with the unpaired T-test. P < 0.05 was considered statistically significant.


Ewes infected with O11 or O46 S. aureus strains developed mastitis with different severities

Although O11 and O46 strains share the same genotype and are highly genetically similar [10], they were isolated from dramatically different ewe mastitis episodes. One can thus wonder whether the clinical signs associated with O11 and O46 infection were or not related to strains characteristics or a fortuitous matter of sampling time (mastitis can indeed evolve from subclinical to severe clinical or even gangrenous within a few days). To check this, two groups of ewes were infected either with O11 or O46 S. aureus strains, as described in the previous section. Onset of the symptoms was followed up during the course of the experiment. All animals became infected and signs of mastitis were evident in most ewes as soon as 24 h pi. The animals shed the S. aureus strains over the sampling period and remained infected for the duration of the experiment. Shedding from the infected glands varied and S. aureus load in milk ranged from 10 CFU/mL to 3.16 × 108 CFU/mL, depending on the individual ewe, and on the day pi (not shown). Symptoms evoked by intramammary inoculation varied among ewes. In group O11, five out of six ewes developed a gangrenous mastitis, the last one developed a pyogenic mastitis according the criteria defined in Additional file 1, Table S1. In group O46, symptoms were more heterogeneous and mastitis cases were classified in subclinical mastitis (n = 1), pyogenic mastitis (n = 2), mild clinical mastitis (n = 2) and gangrenous mastitis (n = 1). Subclinical mastitis was determined with the presence of bacteria (250 CFU/mL of milk 36 h pi), a raise in SCC (> 200 000 cells/mL in each milk sample after 24 h) and absence of fever or symptoms. Except for the ewe with subclinical mastitis, bacteria were detected in all milk samples and reached more than 106 CFU/mL 36 h pi. All animals had fever (above 40 °C 36 h pi) and SCC increased quickly and was above 106 cells/mL at 36 h pi. The proportion of the gangrenous mastitis was significantly higher in the group of ewes infected with O11 strain compared to the group infected with O46 (p = 0.08) (Additional file 2, Figure S1).

S. aureus O11 and O46 induce dramatically different clinical features in infected mice. To confirm our observation that S. aureus strains O11 or O46 induce different types of mastitis, the mouse mastitis model was employed in the current study. Strains O11 and O46 grew equally well in the infected mouse mammary glands and induced mastitis, as determined by temperature measurement (hypothermia in O11 group and hyperthermia in O46 group, 24 h pi; Additional file 3, Figure S2) and histopathological analysis: polymorphonuclear neutrophils (PMN) infiltration was observed only in infected (either with O11 or O46 strains) mammary gland tissue (not shown). To analyse the role of each strain in the development of mastitis, cytokine profile of the serum and mammary gland tissue lysates of mice infected with O11 strain was compared to those infected with O46 strain. The results of cytokine quantification showed that mice infected with S. aureus O46 had significantly higher IL-1β and TNF levels in the mammary gland lysates and significantly higher systemic (serum) levels of IL-1β and MCP-1 (Additional files 4 and 5, Figures S3 and S4). Altogether, these results demonstrate that despite their close genetic relationships, S. aureus O11 and O46 reproducibly induced mastitis with significantly different clinical signs.

Antibody production in response to infection of ewes with S. aureus strains O11 or O46

To compare the relative level of antibodies developed in response to S. aureus presence in the mammary gland, serum sampled on D0, D7, D14, D21 and D28 pi were analysed by Western blotting using either O46 or O11 total bacterial extracts as described in the previous section. The number of bacterial proteins recognised by sera and signal intensity increased from D0 to D28 for both O11 and O46 samples (Figure 1). The intensity of the signal revealed with sera collected on D0 was low and much weaker compared to those obtained with sera collected on D21 or D28. Western blots membranes were analysed as described in the previous section. Sera collected either on D21 or D28 were selected for further analysis. Sera yielding the best signals in each group (one sample for each of the six ewes) were pooled to be used in SERPA experiments. Two pools were thus obtained: sera from ewes infected with O11 and sera from ewes infected by O46, hereafter referred to as group O11 sera and group O46 sera, respectively.

Figure 1

Western blot analysis of total lysates of S. aureus O11 (left panel) or S. aureus O46 (right panel) using D0, D7, D14, D21, D28 diluted 1:10,000 sera of ewes infected by O11 and O46. Bacteria were grown in iron-depleted RPMI without aeration to late exponential phase. Protein samples were prepared from total cell, submitted to 1-DE, western blotted on PVDF membrane and revealed using each of the 6 serum samples collected on ewes infected in each group. One representative example is given for each group of infected ewes (with O11 or O46).

Detection and identification of immunogenic staphylococcal proteins by SERPA

Protein samples were prepared from O11 and O46 strains grown in conditions that best mimic the mastitis context [11]. Each fraction (total, cell wall and supernatant) of O11 and O46 culture was immunoblotted using either group O11 or group O46 sera. Altogether, 89 proteins were identified as immunoreactive (Table 2). Comparison of SERPA results (see Figure 2, and Additional files 6 and 7, Figures S5 and S6) on the three fractions analyzed showed that immunoreactive proteins were mainly identified in supernatant samples prepared from aerobic and anaerobic cultures (Figure 2 and Additional file 7, Figure S6) and cell wall samples (Additional file 6, Figure S5, upper panels) whereas total protein samples were poorly recognized (Additional file 6, Figure S5, lower panels). A vast majority of the immunoreactive proteins are thus found in supernatant and cell wall fractions (88.7%), and only 11.3% are found in the total fractions (Figure 3A). Of note, secreted and surface proteins are expected to be exposed to the host immune system. The predicted location of the proteins (according to the SurfG+ analysis of O11 and O46 genome sequences) [23], showed that the immunoreactive proteins were mainly predicted cytoplasmic (52.8%) (Figure 3A). Proteins were classified into categories based on functional annotation (Figure 3B). Most immunogenic proteins identified here are found in various functional categories involved in cellular machinery and metabolism; while 20% were virulence factors and virulence associated proteins.

Table 2 Proteins identified in this study.
Figure 2

Representative 2-DE gels and SERPA on supernatant fractions of S. aureus O11 (A) and S. aureus O46 (B). Supernatant samples were prepared from stationary phase cultures of S. aureus strains grown anaerobically on iron-depleted RPMI. Preparative 2-DE gels were Coomassie blue stained (left panel). Gels run in parallel were immunoblotted using the pools of sera obtained from group 1 (infected with O11) animals (middle panels) or from group 2 (infected with O46) animals (right panels). Samples were run in parallel on 13 cm gels (pI 3-10; 14% SDS-PAGE). Spots identified by MS/MS are labeled.

Figure 3

(A) Distribution of the immunoreactive proteins based on their experimentally observed (upper panel) or predicted (lower panel) subcellular localization. (B) Distribution of the immunoreactive proteins based on their GO functional classes. (C) Venn diagram of immunoreactive proteins defining the core and the accessory seroproteomes.

Composition of the core and accessory seroproteomes

SERPA revealed 74 proteins as being recognised by both group O11 and group O46 sera (Table 2). These proteins defined the core seroproteome, i.e. a pool of staphylococcal proteins that are recognized by the host immune system in both S. aureus strains (Figure 3C). Moreover, 15 proteins were differentially recognized by group O11 sera or by group O46 sera. These proteins defined the accessory seroproteome, i.e. a pool of strain-specific proteins that are recognized by the host immune system. Among these 15 proteins, 12 appeared to be immunogenic only in infections with O11 (Table 2). These proteins include 7 virulence-associated proteins (Sbi, SspB, SspA, Aur, IsdH, Opp1A, and VWbp), 2 stress response proteins (AhpF, TrxB), 1 hypothetical protein (product of CDS O11_0736 or O46_1969 in O11 or O46), Ldh and a cysteine synthase. Of note, when considering the corresponding genes, all of these 12 genes are present and highly similar in O11 and O46 strains. Only ahpF and vwbp present 2 and 1 non-synonymous single nucleotide polymorphisms (NS-SNPs), respectively. These results suggest that O11 produce these 12 proteins in vivo in a mastitis context whereas O46 does not, or to a much lesser extent. Three proteins appeared to be immunoreactive with group O46 sera only. Two of them are hypothetical proteins corresponding to SAOV0649 (CDS 011_2290 and 046_0078, in O11 and O46, respectively) encoding a probable esterase or lipase, and a gene 011_0490/046_2740 with no homology in ED133 genome sequence. The third protein is IsaA, a virulence-associated immunodominant antigen A. The genes encoding IsaA and the probable esterase or lipase are highly homologous in O11 and O46 with only 1 synonymous SNP found when comparing O11_2290 and O46_0078. Interestingly, the CDS O11-0490 in O11 genome shares homology with O46_2740 in O46. However, sequence analysis reveals that O11-0490 corresponds to a truncated form of O46_2740. This gene encodes a predicted protein that presents 59% identity and 76% homology with exfoliative toxin D [24].

Selected S. aureus immunoreactive proteins are widely distributed among a panel of strains isolated from clinical vs. subclinical ewe mastitis

In order to test the hypothesis that the seroproteomic variations identified by SERPA on the two S. aureus isolates were more widely distributed among isolates of a specific host- and clinical-association, we screened an additional 10 strains isolated from subclinical (n = 5) and severe (i.e. clinical or gangrenous mastitis; n = 5) cases of ewe mastitis for the presence of 2 selected proteins by proteome analysis of supernatant samples (i.e. 2-DE and Coomassie blue staining). The O11 (severe mastitis) protein selected was SspB, which belongs to a proteolytic cascade where a metalloprotease aureolysin (Aur) activates a serine protease zymogen proSspA, which in turn activates the SspB cysteine protease [25]. SspB and the two other proteins, SspA and Aur of the cascade, were recognized in O11 and yielded a very faint signal in O46 (Figure 4A). SspB, one element of this proteolytic cascade, was detected in the culture supernatant of strains isolated from clinical mastitis cases whereas it was not found in the strains isolated from subclinical mastitis (Figure 5A). The other protein tested was O46_2740 gene product (with similarity to exfoliative toxin family), which was specifically recognized in O46 infections and did not yield any significant signal in O11 infections (Figure 4B). When considering its presence in the culture supernatant of other S. aureus strains isolated from clinical or subclinical mastitis in ewes, we observed that it was only detected in the subclinical strains (100%) whereas it was undetectable in any of the strains isolated from clinical mastitis (Figure 5B). These results show that at least these tested proteins are differentially produced by S. aureus strains isolated from clinical or subclinical mastitis cases. Whether these differences are involved or not in the onset and the acuteness of the subclinical vs. clinical mastitis remains to be demonstrated.

Figure 4

SERPA of O11-specific (A) and O46-specific (B) immunoreactive proteins. Protein specific signals were zoomed in on Coomassie blue stained gels (CB) and membranes revealed using sera obtained from animals infected with O11 (Group1) or O46 (Group 2). Aur, aureolysin; SspA, glutamyl endopeptidase serine protease; SspB, staphopain B; O46-2740, gene product similar to exfoliative toxin family.

Figure 5

Distribution of SspB ( A ) and O46-2740 product ( B ) in a panel of S. aureus strains isolated from clinical (a) and subclinical (b) mastitis. Supernatant samples were prepared on stationary phase cultures of strains grown on iron-depleted RPMI. 2-DE gels were Coomassie blue stained.


Two closely related S. aureus ovine strains reproducibly induce distinct mastitis types in ewe and mouse models. Contrarily to Escherichia coli mastitis, which severity is mainly determined by host factors and not by the strains features [26], it seems that in S. aureus, inter-strain variations exist in terms of virulence potential. Such variations have been experimentally observed but the involved staphylococcal factors have not been clearly identified yet [2729]. S. aureus content in virulence factors reportedly varies from strain to strain and this may account for the large panel of symptoms encountered in ruminant mastitis [30]. It was also shown that some elements of the core genome could account for host adaptation in S. aureus ruminant isolates [8]. Here, we show that two closely related S. aureus strains are able to induce dramatically different mastitis outcomes in animal model. The experimental mastitis induced in ewes confirmed that strain O11, originally isolated from a gangrenous mastitis, induced more severe infections than strain O46 in ewes. To corroborate the finding of the diversity of the clinical signs caused by O11 and O46, the mouse model of mastitis was employed for further investigation [31]. Despite variable susceptibility to viral, fungal or bacterial infections among the different mouse lines [32], the mouse model was validated as an experimental approach to the study of bovine mastitis [33]. In this study, CD-1 mice infected with O11 or O46 revealed diverse clinical signs and showed different cytokine profiles: O46 induced higher IL-1β and TNF-α levels in the mammary gland lysates and higher serum levels of IL-1β and MCP-1. It has been shown that the cytokines play a pivotal role in the development of the mastitis [3436]. Recent investigation revealed that the proinflammatory cytokines, TNF-α and IL-1β, increased the capacity of bovine endothelial cells to eliminate intracellular S. aureus[37]. Endothelial cells may so represent a functional and active defence barrier against bacteria invasion of infected quarters. Higher synthesis of proinflammatory cytokines in O46-infected mice might thus reflect a higher anti-staphylococcal response and may allow more effective elimination of strain O46. Further investigation has to be conducted to confirm this hypothesis. Altogether, our findings demonstrated that these two well-characterized strains reproducibly induce drastically different mastitis in terms of severity, and will prove useful tools to gain further insights into host-pathogen interactions.

Inventory of mastitis-associated core and accessory seroproteomes in S. aureus reveals new mastitis-related antigens

This study reports the application of SERPA to determine the core and accessory seroproteomes resulting from experimental ewe mastitis induced by two different S. aureus strains, isolated from a subclinical mastitis (O46) and a gangrenous mastitis (O11). To determine which proteins are recognized by the ewe immune system during mastitis with different severity, experimental infections were carried out on primiparous ewes using these two S. aureus strains. By comparison of the SERPA profiles, this study allowed, for the first time, the determination of core and accessory seroproteomes for S. aureus in a mastitis context. Eighty nine proteins were immunogenic in ewe mastitis implying they were produced during the infection. Seventy four were found in both seroproteome profiles and composed a core seroproteome. Fifteen of them were found strain-specific and composed the accessory seroproteome. Among the 74 proteins belonging to the core seroproteome, only 44 (59.5%) had already been reported to be immunogenic in infections caused by S. aureus or other pathogens (e.g. Bacillus anthracis, Staphylococcus epidermidis, Clostridium perfringens, Schistosoma japonicum) (Table 2). Among these previously described antigens, only 30S ribosomal S1 and LukM/LukF'-PV were previously reported to be immunogenic in S. aureus bovine mastitis [38, 39]. These 44 proteins include most of the immunoreactive proteins categorized in Toxins-Haemolysins and Virulence/Defence mechanisms. The remaining 30 proteins (40.5%) are described for the first time as potential staphylococcal antigens in a mastitis context and, to our knowledge, were not described as immunogenic elsewhere. In the accessory seroproteome, 8 out the 15 proteins identified were already described as immunogenic elsewhere whereas 7 of them (AhpF, Opp1A, VVbp, Mqo, cysteine synthase and two hypothetical proteins) are described as such for the first time (Table 2). A majority of the proteins identified here are thus reported as immunogenic for the first time in a mastitis context. Furthermore, 37 out of 89 proteins of the total seroproteome (~42%) correspond to proteins described as staphylococcal antigens for the first time whatever the infection considered. Only four of these new antigens are categorized in Toxins-Haemolysins and Virulence/defense mechanisms. The other ones are mostly found in Metabolism (n = 9), Information storage (n = 7), and Unknown function (n = 13). Only a few studies previously analyzed S. aureus proteome and all of them were carried out on human isolates, which reportedly differ from ruminant isolates [8, 9, 40] and the strains were grown in laboratory culture conditions [4, 4146]. Here we used two ovine isolates grown in culture conditions mimicking the mastitis context [11]. These two criteria might account for the abundance of new staphylococcal antigens identified in this study.

Importance of secreted and exported proteins in seroproteomic patterns

It is commonly assumed that surface exposed proteins play a role in host-pathogen interactions and that, because of their cellular localization, they are preferentially recognized by the host immune system. In this study, immunoreactive proteins were mainly identified in protein samples prepared from supernatant and cell wall fractions revealing, somehow, discrepancies between experimental (gels of total, cell wall and supernatant protein fractions) and theoretical localization (as determined in silico). Indeed, among the 47 immunoreactive proteins that were predicted cytoplasmic, only 10 were experimentally found in the total fraction and 37 were found in supernatant or cell wall fractions (Table 2). Such discrepancies were observed in other studies as well [4, 47, 48]. Some proteins are multifunctional and found both intra- and extracellularly. For example, glyceraldehyde-3-phosphate dehydrogenase [49] and enolase [50] were shown to be both cytoplasmic and surface exposed. In addition to their metabolic role in the cytoplasm, they play a role as adhesins when exposed on the bacterial surface. Furthermore, a new mechanism of protein exportation in Gram positive bacteria was recently described and not included yet in prediction tools for protein localization. It has actually been demonstrated that S. aureus, like some Gram negative bacteria, secretes membrane vesicles, which contained at least 90 different proteins [51]. Twelve of the proteins identified here were found in the vesicle-secreted proteins identified by Lee et al. [51]. Whether the other immunoreactive proteins identified here are secreted through a membrane vesicle mechanism remains undetermined.

The core seroproteome

Proteins belonging to the core seroproteome are immunogenic regardless the severity of the induced mastitis. These proteins are therefore good targets for the development of new strategies against S. aureus mastitis. Some of them have been tested as vaccine target to prevent staphylococcal infections e.g., Enolase (Eno) [52], IsdA (an iron-regulated cell wall-anchored protein) and IsdB (a cell surface transferrin-binding protein) [53, 54], GapC/B protein (glyceraldehyde-3-phosphate dehydrogenase) [55], Hla (alpha-hemolysin) [56]. These vaccines seem at least to limit infection damage (by notably decreasing mortality) but not to provide total effective protection.

Well-known virulence factors, such as Hla, Hlb (beta-hemolysin), SspA (V8 serine protease), ScpA (Staphopain A), and Plc (phosphatidylinositol phosphodiesterase), were identified here in a mastitis context and were previously identified as immunogenic in human infections [4, 57]. Hla and leukotoxins were reportedly produced in vivo during mastitis [58] but to our knowledge this is the first time that the other proteins listed in Table 2 are shown to be produced in vivo during mastitis. These proteins deserve more attention to test their role in the mastitis onset and to check their potential use as target for vaccine development. Of note, we found 5 iron-related proteins (IsdA, IsdB, IsdH, MntC and SirA, 4 of which belonged to the core seroproteome) consistent with the culture conditions (iron depletion) and with a role in the physiologically important and difficult iron uptake in the mastitis conditions.

The accessory seroproteome

Some proteins were shown to be specifically produced by strain O11 or by strain O46 in infected ewes. None of 12 proteins specifically produced by O11 in vivo had previously been reported as produced during mastitis. Their role in mastitis is thus unknown. Nevertheless most of them have been described as immunogenic in S. aureus infections in humans. Their function is mainly linked to resistance to host immune response like for IsdH [59], AhpF and TrxB, implied in oxidative stress responses [60] that may confer O11 resistance to neutrophils and so be an advantage compared to O46, Sbi that forms complexes with immunoglobulins Fc regions [61], Aur and SspB. Aureolysin is essential for activation of SspA [25], which in turn activates the SspB zymogen [62]. Aur, SspA and SspB seemed to be more produced in O11 than in O46. They can degrade conjunctive tissue [63]. Aureolysin has been shown to be involved in resistance to macrophage phagocytosis [64] and to significantly contribute to the activation of the fibrinolytic system [65]. It might thus reinforce the degradation of extracellular matrix in the mammary gland and promote bacterial spread and invasion. SspB can activate the chemoattractant chemerin, which results in a local inflammation of the tissue [66]. Moreover it induces the depletion of functional phagocytes at the site of infection by blocking phagocytosis by neutrophils and inhibiting their chemotactic activity [67]. SspB may so take part in the observed swelling of the mammary gland observed during gangrenous mastitis. Moreover, it has been shown that SspA and SspB play an important role in virulence in a mouse abscess model [68]. Opp1A was found to be produced by strain O11 in vivo. Opp proteins seem to take part in virulence in several infection models [69]. Although the role of Opp has not been clearly demonstrated until now, Opp proteins have also been reported to be involved in virulence in other Gram positive pathogens such as group A streptococci [70], Streptococcus agalactiae[71] or Listeria monocytogenes[72]. A variant of von Willebrand factor-binding protein gene has recently been located on the pathogenicity island SaPIov2, characteristic of small ruminant isolates [9]. Interestingly, besides being a coagulase, it is also an activator of pro-thrombin [73] that is present in cow milk [74]. Pro-thrombin activation in thrombin may have a pro-inflammatory effect during mastitis and thus take part in the symptoms observed in animals infected by O11. Whether and how these proteins are involved in the acuteness of the disease induced by O11 remains unknown. O46 specifically produced 3 immunoreactive proteins when compared to O11. IsaA has been reported to be immunogenic in many S. aureus infections [3, 52, 57, 7577]. It presents autolytic activity and is necessary for complete virulence [78] but its role in mastitis is not known. Interestingly, a protein (encoded by O46-2740) which shows similarity to exfoliative toxin D (ETD) was found produced by O46 and not by O11. Three amino-acids were shown to constitute the active site common to all the exfoliative toxins [79]. These amino-acids are present in O46_2740 gene (O46 strain) product but one is missing in O11-0490 gene product. The corresponding gene is not found in the recently released sequence of ovine strain ED133 [9] although we found its product in the exoproteome of 5 additional S. aureus strains isolated from subclinical mastitis. ETD is associated with cutaneous abscesses and furuncles [80]. Interestingly this toxin is also produced by Coagulase Negative Staphylococci species like Staphylococcus hyicus, Staphylococcus pseudintermedius and Staphylococcus chromogenes. CNS are highly prevalent in ovine subclinical mastitis [81]. Whether this particular toxin is specifically produced and plays a role during subclinical mastitis remains to be tested. Altogether, proteins differentially produced by O11 and O46 may be considered as potential marker of gangrenous or subclinical mastitis but this has still to be further demonstrated.


To the best of our knowledge, this study provides the first comparative and comprehensive serological proteome analysis in a mastitis context. The proteins identified are immunogenic in ewes implying that they are also produced in the udder during infection. Many of them are found immunogenic for the first time and a great proportion was found in the supernatant and cell wall fractions even though they were predicted as cytoplasmic proteins. Whether or how these proteins are really involved in the mastitis infection and or the severity of the mastitis remains to be elucidated. This study provides a handful of interesting candidates for further investigations on their potential use as new targets for prophylactic or curative strategies such as vaccine or drug target as some appear to be involved in important virulence-associated functions (toxins, immune evasion, iron uptake).


  1. 1.

    Halasa T, Nielen M, Huirne RBM, Hogeveen H: Stochastic bio-economic model of bovine intramammary infection. Livest Sci. 2009, 124: 295-305. 10.1016/j.livsci.2009.02.019.

    Google Scholar 

  2. 2.

    Le Maréchal C, Thiéry R, Vautor E, Le Loir Y: How do mastites impact technological properties of milk and quality of milk products?. Dairy Sci Technol. 2011

    Google Scholar 

  3. 3.

    Vytvytska O, Nagy E, Bluggel M, Meyer HE, Kurzbauer R, Huber LA, Klade CS: Identification of vaccine candidate antigens of Staphylococcus aureus by serological proteome analysis. Proteomics. 2002, 2: 580-590. 10.1002/1615-9861(200205)2:5<580::AID-PROT580>3.0.CO;2-G.

    CAS  PubMed  Google Scholar 

  4. 4.

    Burlak C, Hammer CH, Robinson MA, Whitney AR, McGavin MJ, Kreiswirth BN, DeLeo FR: Global analysis of community-associated methicillin-resistant Staphylococcus aureus exoproteins reveals molecules produced in vitro and during infection. Cell Microbiol. 2007, 9: 1172-1190. 10.1111/j.1462-5822.2006.00858.x.

    PubMed Central  CAS  PubMed  Google Scholar 

  5. 5.

    Greub G, Kebbi-Beghdadi C, Bertelli C, Collyn F, Riederer BM, Yersin C, Croxatto A, Raoult D: High throughput sequencing and proteomics to identify immunogenic proteins of a new pathogen: the dirty genome approach. PLoS One. 2009, 4: e8423-10.1371/journal.pone.0008423.

    PubMed Central  PubMed  Google Scholar 

  6. 6.

    Vautor E, Abadie G, Guibert JM, Huard C, Pepin M: Genotyping of Staphylococcus aureus isolated from various sites on farms with dairy sheep using pulsed-field gel electrophoresis. Vet Microbiol. 2003, 96: 69-79. 10.1016/S0378-1135(03)00207-4.

    CAS  PubMed  Google Scholar 

  7. 7.

    Vautor E, Magnone V, Rios G, Le BK, Bergonier D, Lina G, Meugnier H, Barbry P, Thiery R, Pepin M: Genetic differences among Staphylococcus aureus isolates from dairy ruminant species: a single-dye DNA microarray approach. Vet Microbiol. 2009, 133: 105-114. 10.1016/j.vetmic.2008.06.006.

    CAS  PubMed  Google Scholar 

  8. 8.

    Ben Zakour NL, Sturdevant DE, Even S, Guinane CM, Barbey C, Alves PD, Cochet MF, Gautier M, Otto M, Fitzgerald JR, Le Loir Y: Genome-Wide Analysis of Ruminant Staphylococcus aureus Reveals Diversification of the Core Genome. J Bacteriol. 2008, 190: 6302-6317. 10.1128/JB.01984-07.

    PubMed Central  CAS  PubMed  Google Scholar 

  9. 9.

    Guinane CM, Ben Zakour NL, Tormo-Mas MA, Weinert LA, Lowder BV, Cartwright RA, Smyth DS, Smyth CJ, Lindsay J, Gould KA, Witney A, Hinds J, Bollback JP, Rambaut A, Penadés JR, Fitzgerald JR: Evolutionary genomics of Staphylococcus aureus reveals insights into the origin and molecular basis of ruminant host adaptation. Genome Biol Evol. 2010, 2: 454-466. 10.1093/gbe/evq031.

    PubMed Central  PubMed  Google Scholar 

  10. 10.

    Vautor E, Cockfield J, Le Maréchal C, Le Loir Y, Chevalier M, Robinson DA, Thiery R, Lindsay J: Difference in virulence between Staphylococcus aureus isolates causing gangrenous mastitis versus subclinical mastitis in a dairy sheep flock. Vet Res. 2009, 40: 56-67. 10.1051/vetres/2009039.

    PubMed Central  PubMed  Google Scholar 

  11. 11.

    Le Maréchal C, Jan G, Even S, McCulloch JA, Azevedo V, Thiéry R, Vautor E, Le Loir Y: Development of serological proteome analysis of mastitis by Staphylococcus aureus in ewes. J Microbiol Methods. 2009, 79: 131-136.

    PubMed  Google Scholar 

  12. 12.

    Trivier D, Davril M, Houdret N, Courcol RJ: Influence of iron depletion on growth kinetics, siderophore production, and protein expression of Staphylococcus aureus. FEMS Microbiol Lett. 1995, 127: 195-199. 10.1111/j.1574-6968.1995.tb07473.x.

    CAS  PubMed  Google Scholar 

  13. 13.

    Hernandez D, Francois P, Farinelli L, Osteras M, Schrenzel J: De novo bacterial genome sequencing: millions of very short reads assembled on a desktop computer. Genome Res. 2008, 18: 802-809. 10.1101/gr.072033.107.

    PubMed Central  CAS  PubMed  Google Scholar 

  14. 14.

    Anastasiou R, Leverrier P, Krestas I, Rouault A, Kalantzopoulos G, Boyaval P, Tsakalidou E, Jan G: Changes in protein synthesis during thermal adaptation of Propionibacterium freudenreichii subsp. shermanii. Int J Food Microbiol. 2006, 108: 301-314.

    CAS  PubMed  Google Scholar 

  15. 15.

    Rabilloud T, Carpentier G, Tarroux P: Improvement and simplification of low-background silver staining of proteins by using sodium dithionite. Electrophoresis. 1988, 9: 288-291. 10.1002/elps.1150090608.

    CAS  PubMed  Google Scholar 

  16. 16.

    McDermott MP, Erb HN, Natzke RP: Predictability by somatic cell counts related to prevalence of intrammary infection within herds. J Dairy Sci. 1982, 65: 1535-1539. 10.3168/jds.S0022-0302(82)82378-3.

    CAS  PubMed  Google Scholar 

  17. 17.

    Laemmli UK: Cleavage of structural proteins during the assembly of the head of bacteriophage T4. Nature. 1970, 227: 680-685. 10.1038/227680a0.

    CAS  PubMed  Google Scholar 

  18. 18.

    Towbin H, Staehelin T, Gordon J: Electrophoretic transfer of proteins from polyacrylamide gels to nitrocellulose sheets: procedure and some applications. Proc Natl Acad Sci USA. 1979, 76: 4350-4354. 10.1073/pnas.76.9.4350.

    PubMed Central  CAS  PubMed  Google Scholar 

  19. 19.

    Shevchenko A, Sunyaev S, Liska A, Bork P, Shevchenko A: Nanoelectrospray tandem mass spectrometry and sequence similarity searching for identification of proteins from organisms with unknown genomes. Methods Mol Biol. 2003, 211: 221-234.

    CAS  PubMed  Google Scholar 

  20. 20.

    UniProtKB database. []

  21. 21.

    Ishihama Y, Oda Y, Tabata T, Sato T, Nagasu T, Rappsilber J, Mann M: Exponentially modified protein abundance index (emPAI) for estimation of absolute protein amount in proteomics by the number of sequenced peptides per protein. Mol Cell Proteomics. 2005, 4: 1265-1272. 10.1074/mcp.M500061-MCP200.

    CAS  PubMed  Google Scholar 

  22. 22.

    Dupierris V, Masselon C, Court M, Kieffer-Jaquinod S, Bruley C: A toolbox for validation of mass spectrometry peptides identification and generation of database: IRMa. Bioinformatics. 2009, 25: 1980-1981. 10.1093/bioinformatics/btp301.

    CAS  PubMed  Google Scholar 

  23. 23.

    Barinov A, Loux V, Hammani A, Nicolas P, Langella P, Ehrlich D, Maguin E, van de GM: Prediction of surface exposed proteins in Streptococcus pyogenes, with a potential application to other Gram-positive bacteria. Proteomics. 2009, 9: 61-73. 10.1002/pmic.200800195.

    CAS  PubMed  Google Scholar 

  24. 24.

    Yamaguchi T, Nishifuji K, Sasaki M, Fudaba Y, Aepfelbacher M, Takata T, Ohara M, Komatsuzawa H, Amagai M, Sugai M: Identification of the Staphylococcus aureus etd pathogenicity island which encodes a novel exfoliative toxin, ETD, and EDIN-B. Infect Immun. 2002, 70: 5835-5845. 10.1128/IAI.70.10.5835-5845.2002.

    PubMed Central  CAS  PubMed  Google Scholar 

  25. 25.

    Nickerson NN, Prasad L, Jacob L, Delbaere LT, McGavin MJ: Activation of the SspA serine protease zymogen of Staphylococcus aureus proceeds through unique variations of a trypsinogen-like mechanism and is dependent on both autocatalytic and metalloprotease-specific processing. J Biol Chem. 2007, 282: 34129-34138. 10.1074/jbc.M705672200.

    CAS  PubMed  Google Scholar 

  26. 26.

    Burvenich C, Van MV, Mehrzad J, ez-Fraile A, Duchateau L: Severity of E. coli mastitis is mainly determined by cow factors. Vet Res. 2003, 34: 521-564. 10.1051/vetres:2003023.

    PubMed  Google Scholar 

  27. 27.

    Haveri M, Roslof A, Rantala L, Pyorala S: Virulence genes of bovine Staphylococcus aureus from persistent and nonpersistent intramammary infections with different clinical characteristics. J Appl Microbiol. 2007, 103: 993-1000. 10.1111/j.1365-2672.2007.03356.x.

    CAS  PubMed  Google Scholar 

  28. 28.

    Middleton JR, Fox LK: Influence of Staphylococcus aureus strain on mammary quarter milk production. Vet Rec. 2002, 150: 411-413. 10.1136/vr.150.13.411.

    CAS  PubMed  Google Scholar 

  29. 29.

    Rainard P, Gilbert FB: Les mammites dues à Staphylococcus aureus. Staphylococcus aureus. Edited by: Le Loir Y, Gautier M. 2010, Paris: Tec&Doc, 211-232.

    Google Scholar 

  30. 30.

    Sutra L, Poutrel B: Virulence factors involved in the pathogenesis of bovine intramammary infections due to Staphylococcus aureus. J Med Microbiol. 1994, 40: 79-89. 10.1099/00222615-40-2-79.

    CAS  PubMed  Google Scholar 

  31. 31.

    Notebaert S, Demon D, Vanden BT, Vandenabeele P, Meyer E: Inflammatory mediators in Escherichia coli-induced mastitis in mice. Comp Immunol Microbiol Infect Dis. 2008, 31: 551-565. 10.1016/j.cimid.2007.10.004.

    PubMed  Google Scholar 

  32. 32.

    Svirshchevskaya EV, Shevchenko MA, Huet D, Femenia F, Latge JP, Boireau P, Berkova NP: Susceptibility of mice to invasive aspergillosis correlates with delayed cell influx into the lungs. Int J Immunogenet. 2009, 36: 289-299. 10.1111/j.1744-313X.2009.00869.x.

    CAS  PubMed  Google Scholar 

  33. 33.

    Buzzola FR, Alvarez LP, Tuchscherr LP, Barbagelata MS, Lattar SM, Calvinho L, Sordelli DO: Differential abilities of capsulated and noncapsulated Staphylococcus aureus isolates from diverse agr groups to invade mammary epithelial cells. Infect Immun. 2007, 75: 886-891. 10.1128/IAI.01215-06.

    PubMed Central  CAS  PubMed  Google Scholar 

  34. 34.

    Alluwaimi AM, Leutenegger CM, Farver TB, Rossitto PV, Smith WL, Cullor JS: The cytokine markers in Staphylococcus aureus mastitis of bovine mammary gland. J Vet Med B Infect Dis Vet Public Health. 2003, 50: 105-111.

    CAS  PubMed  Google Scholar 

  35. 35.

    Alluwaimi AM: The cytokines of bovine mammary gland: prospects for diagnosis and therapy. Res Vet Sci. 2004, 77: 211-222. 10.1016/j.rvsc.2004.04.006.

    CAS  PubMed  Google Scholar 

  36. 36.

    Lee JW, Bannerman DD, Paape MJ, Huang MK, Zhao X: Characterization of cytokine expression in milk somatic cells during intramammary infections with Escherichia coli or Staphylococcus aureus by real-time PCR. Vet Res. 2006, 37: 219-229. 10.1051/vetres:2005051.

    CAS  PubMed  Google Scholar 

  37. 37.

    Oviedo-Boyso J, Cardoso-Correa BI, Cajero-Juarez M, Bravo-Patino A, Valdez-Alarcon JJ, Baizabal-Aguirre VM: The capacity of bovine endothelial cells to eliminate intracellular Staphylococcus aureus and Staphylococcus epidermidis is increased by the proinflammatory cytokines TNF-alpha and IL-1beta. FEMS Immunol Med Microbiol. 2008, 54: 53-59. 10.1111/j.1574-695X.2008.00447.x.

    CAS  PubMed  Google Scholar 

  38. 38.

    Rainard P: Staphylococcus aureus leucotoxin LukM/F' is secreted and stimulates neutralising antibody response in the course of intramammary infection. Vet Res. 2007, 38: 685-696. 10.1051/vetres:2007026.

    PubMed  Google Scholar 

  39. 39.

    Tedeschi G, Taverna F, Negri A, Piccinini R, Nonnis S, Ronchi S, Zecconi A: Serological proteome analysis of Staphylococcus aureus isolated from sub-clinical mastitis. Vet Microbiol. 2009, 134: 388-391. 10.1016/j.vetmic.2008.08.019.

    CAS  PubMed  Google Scholar 

  40. 40.

    Herron-Olson L, Fitzgerald JR, Musser JM, Kapur V: Molecular correlates of host specialization in Staphylococcus aureus. PLoS One. 2007, 2: e1120-10.1371/journal.pone.0001120.

    PubMed Central  PubMed  Google Scholar 

  41. 41.

    Hecker M, Engelmann S, Cordwell SJ: Proteomics of Staphylococcus aureus--current state and future challenges. J Chromatogr B Analyt Technol Biomed Life Sci. 2003, 787: 179-195. 10.1016/S1570-0232(02)00907-8.

    CAS  PubMed  Google Scholar 

  42. 42.

    Pocsfalvi G, Cacace G, Cuccurullo M, Serluca G, Sorrentino A, Schlosser G, Blaiotta G, Malorni A: Proteomic analysis of exoproteins expressed by enterotoxigenic Staphylococcus aureus strains. Proteomics. 2008, 8: 2462-2476. 10.1002/pmic.200700965.

    CAS  PubMed  Google Scholar 

  43. 43.

    Resch A, Leicht S, Saric M, Pasztor L, Jakob A, Gotz F, Nordheim A: Comparative proteome analysis of Staphylococcus aureus biofilm and planktonic cells and correlation with transcriptome profiling. Proteomics. 2006, 6: 1867-1877. 10.1002/pmic.200500531.

    CAS  PubMed  Google Scholar 

  44. 44.

    Sibbald MJ, Ziebandt AK, Engelmann S, Hecker M, de JA, Harmsen HJ, Raangs GC, Stokroos I, Arends JP, Dubois JY, van Dijl JM: Mapping the pathways to staphylococcal pathogenesis by comparative secretomics. Microbiol Mol Biol Rev. 2006, 70: 755-788. 10.1128/MMBR.00008-06.

    PubMed Central  CAS  PubMed  Google Scholar 

  45. 45.

    Ziebandt AK, Weber H, Rudolph J, Schmid R, Hoper D, Engelmann S, Hecker M: Extracellular proteins of Staphylococcus aureus and the role of SarA and sigma B. Proteomics. 2001, 1: 480-493. 10.1002/1615-9861(200104)1:4<480::AID-PROT480>3.0.CO;2-O.

    CAS  PubMed  Google Scholar 

  46. 46.

    Ziebandt AK, Kusch H, Degner M, Jaglitz S, Sibbald MJ, Arends JP, Chlebowicz MA, Albrecht D, Pantucek R, Doskar J, Ziebuhr W, Bröker BM, Hecker M, van Dijl JM, Engelmann S: Proteomics uncovers extreme heterogeneity in the Staphylococcus aureus exoproteome due to genomic plasticity and variant gene regulation. Proteomics. 2010, 10: 1634-1644. 10.1002/pmic.200900313.

    CAS  PubMed  Google Scholar 

  47. 47.

    Gatlin CL, Pieper R, Huang ST, Mongodin E, Gebregeorgis E, Parmar PP, Clark DJ, Alami H, Papazisi L, Fleischmann RD, Gill SR, Peterson SN: Proteomic profiling of cell envelope-associated proteins from Staphylococcus aureus. Proteomics. 2006, 6: 1530-1549. 10.1002/pmic.200500253.

    CAS  PubMed  Google Scholar 

  48. 48.

    Jones RC, Deck J, Edmondson RD, Hart ME: Relative quantitative comparisons of the extracellular protein profiles of Staphylococcus aureus UAMS-1 and its sarA, agr, and sarA agr regulatory mutants using one-dimensional polyacrylamide gel electrophoresis and nanocapillary liquid chromatography coupled with tandem mass spectrometry. J Bacteriol. 2008, 190: 5265-5278. 10.1128/JB.00383-08.

    PubMed Central  CAS  PubMed  Google Scholar 

  49. 49.

    Pancholi V, Chhatwal GS: Housekeeping enzymes as virulence factors for pathogens. Int J Med Microbiol. 2003, 293: 391-401. 10.1078/1438-4221-00283.

    CAS  PubMed  Google Scholar 

  50. 50.

    Antikainen J, Kuparinen V, Lahteenmaki K, Korhonen TK: Enolases from Gram-positive bacterial pathogens and commensal lactobacilli share functional similarity in virulence-associated traits. FEMS Immunol Med Microbiol. 2007, 51: 526-534. 10.1111/j.1574-695X.2007.00330.x.

    CAS  PubMed  Google Scholar 

  51. 51.

    Lee EY, Choi DY, Kim DK, Kim JW, Park JO, Kim S, Kim SH, Desiderio DM, Kim YK, Kim KP, Gho YS: Gram-positive bacteria produce membrane vesicles: proteomics-based characterization of Staphylococcus aureus-derived membrane vesicles. Proteomics. 2009, 9: 5425-5436. 10.1002/pmic.200900338.

    CAS  PubMed  Google Scholar 

  52. 52.

    Glowalla E, Tosetti B, Kronke M, Krut O: Proteomics-Based Identification of Anchorless Cell Wall Proteins as Vaccine Candidates against Staphylococcus aureus. Infect Immun. 2009, 77: 2719-2729. 10.1128/IAI.00617-08.

    PubMed Central  CAS  PubMed  Google Scholar 

  53. 53.

    Stranger-Jones YK, Bae T, Schneewind O: Vaccine assembly from surface proteins of Staphylococcus aureus. Proc Natl Acad Sci USA. 2006, 103: 16942-16947. 10.1073/pnas.0606863103.

    PubMed Central  CAS  PubMed  Google Scholar 

  54. 54.

    Kuklin NA, Clark DJ, Secore S, Cook J, Cope LD, McNeely T, Noble L, Brown MJ, Zorman JK, Wang XM, Pancari G, Fan H, Isett K, Burgess B, Bryan J, Brownlow M, George H, Meinz M, Liddell ME, Kelly R, Schultz L, Montgomery D, Onishi J, Losada M, Martin M, Ebert T, Tan CY, Schofield TL, Nagy E, Meineke A: A novel Staphylococcus aureus vaccine: Iron surface determinant B induces rapid antibody responses in rhesus macaques and specific increased survival in a murine S-aureus sepsis model. Infect Immun. 2006, 74: 2215-2223. 10.1128/IAI.74.4.2215-2223.2006.

    PubMed Central  CAS  PubMed  Google Scholar 

  55. 55.

    Perez-Casal J, Prysliak T, Kerro-Dego O, Potter AA: Immune responses to a Staphylococcus aureus GapC/B chimera and its potential use as a component of a vaccine for S. aureus mastitis. Vet Immunol Immunopathol. 2006, 109: 85-97. 10.1016/j.vetimm.2005.07.024.

    CAS  PubMed  Google Scholar 

  56. 56.

    Ragle BE, Bubeck WJ: Anti-alpha-hemolysin monoclonal antibodies mediate protection against Staphylococcus aureus pneumonia. Infect Immun. 2009, 77: 2712-2718. 10.1128/IAI.00115-09.

    PubMed Central  CAS  PubMed  Google Scholar 

  57. 57.

    Holtfreter S, Thi THN, Wertheim H, Steil L, Kusch H, Quoc PT, Engelmann S, Hecker M, Volker U, van Belkum A, Bröker BM: Human Immune Proteome in Experimental Colonization with Staphylococcus aureus. Clin Vaccine Immunol. 2009, 16: 1607-1614. 10.1128/CVI.00263-09.

    PubMed Central  CAS  PubMed  Google Scholar 

  58. 58.

    Rainard P: Staphylococcus aureus leucotoxin LukM/F' is secreted and stimulates neutralising antibody response in the course of intramammary infection. Vet Res. 2007, 38: 685-696. 10.1051/vetres:2007026.

    PubMed  Google Scholar 

  59. 59.

    Visai L, Yanagisawa N, Josefsson E, Tarkowski A, Pezzali I, Rooijakkers SH, Foster TJ, Speziale P: Immune evasion by Staphylococcus aureus conferred by iron-regulated surface determinant protein IsdH. Microbiology. 2009, 155: 667-679. 10.1099/mic.0.025684-0.

    CAS  PubMed  Google Scholar 

  60. 60.

    Uziel O, Borovok I, Schreiber R, Cohen G, Aharonowitz Y: Transcriptional regulation of the Staphylococcus aureus thioredoxin and thioredoxin reductase genes in response to oxygen and disulfide stress. J Bacteriol. 2004, 186: 326-334. 10.1128/JB.186.2.326-334.2004.

    PubMed Central  CAS  PubMed  Google Scholar 

  61. 61.

    Haupt K, Reuter M, van den Elsen J, Burman J, Halbich S, Richter J, Skerka C, Zipfel PF: The Staphylococcus aureus Protein Sbi Acts as a Complement Inhibitor and Forms a Tripartite Complex with Host Complement Factor H and C3b. Plos Pathog. 2008, 4: e1000250-10.1371/journal.ppat.1000250.

    PubMed Central  PubMed  Google Scholar 

  62. 62.

    Massimi I, Park E, Rice K, Muller-Esterl W, Sauder D, McGavin MJ: Identification of a novel maturation mechanism and restricted substrate specificity for the SspB cysteine protease of Staphylococcus aureus. J Biol Chem. 2002, 277: 41770-41777. 10.1074/jbc.M207162200.

    CAS  PubMed  Google Scholar 

  63. 63.

    Oscarsson J, Tegmark-Wisell K, Arvidson S: Coordinated and differential control of aureolysin (aur) and serine protease (sspA) transcription in Staphylococcus aureus by sarA, rot and agr (RNAIII). Int J Med Microbiol. 2006, 296: 365-380. 10.1016/j.ijmm.2006.02.019.

    CAS  PubMed  Google Scholar 

  64. 64.

    Kubica M, Guzik K, Koziel J, Zarebski M, Richter W, Gajkowska B, Golda A, iag-Gudowska A, Brix K, Shaw L, Foster T, Potempa J: A potential new pathway for Staphylococcus aureus dissemination: the silent survival of S. aureus phagocytosed by human monocyte-derived macrophages. PLoS One. 2008, 3: e1409-10.1371/journal.pone.0001409.

    PubMed Central  PubMed  Google Scholar 

  65. 65.

    Beaufort N, Wojciechowski P, Sommerhoff CP, Szmyd G, Dubin G, Eick S, Kellermann J, Schmitt M, Potempa J, Magdolen V: The human fibrinolytic system is a target for the staphylococcal metalloprotease aureolysin. Biochem J. 2008, 410: 157-165. 10.1042/BJ20070650.

    CAS  PubMed  Google Scholar 

  66. 66.

    Kulig P, Zabel BA, Dubin G, Alllen SJ, Ohyama T, Potempa J, Handel TM, Butcher EC, Cichy J: Staphylococcus aureus-derived staphopain B, a potent cysteine protease activator of plasma chemerin. J Immunol. 2007, 178: 3713-3720.

    CAS  PubMed  Google Scholar 

  67. 67.

    Smagur J, Guzik K, Magiera L, Bzowska M, Gruca M, Thogersen IB, Enghild JJ, Potempa J: A New Pathway of Staphylococcal Pathogenesis: Apoptosis-Like Death Induced by Staphopain B in Human Neutrophils and Monocytes. J Innate Immun. 2009, 1: 98-108. 10.1159/000181014.

    CAS  PubMed  Google Scholar 

  68. 68.

    Shaw L, Golonka E, Potempa J, Foster SJ: The role and regulation of the extracellular proteases of Staphylococcus aureus. Microbiology. 2004, 150: 217-228. 10.1099/mic.0.26634-0.

    CAS  PubMed  Google Scholar 

  69. 69.

    Coulter SN, Schwan WR, Ng EY, Langhorne MH, Ritchie HD, Westbrock-Wadman S, Hufnagle WO, Folger KR, Bayer AS, Stover CK: Staphylococcus aureus genetic loci impacting growth and survival in multiple infection environments. Mol Microbiol. 1998, 30: 393-404. 10.1046/j.1365-2958.1998.01075.x.

    CAS  PubMed  Google Scholar 

  70. 70.

    Wang CH, Lin CY, Luo YH, Tsai PJ, Lin YS, Lin MT, Chuang WJ, Liu CC, Wu JJ: Effects of oligopeptide permease in group a streptococcal infection. Infect Immun. 2005, 73: 2881-2890. 10.1128/IAI.73.5.2881-2890.2005.

    PubMed Central  CAS  PubMed  Google Scholar 

  71. 71.

    Samen U, Gottschalk B, Eikmanns BJ, Reinscheid DJ: Relevance of peptide uptake systems to the physiology and virulence of Streptococcus agalactiae. J Bacteriol. 2004, 186: 1398-1408. 10.1128/JB.186.5.1398-1408.2004.

    PubMed Central  CAS  PubMed  Google Scholar 

  72. 72.

    Borezee E, Pellegrini E, Berche P: OppA of Listeria monocytogenes, an oligopeptide-binding protein required for bacterial growth at low temperature and involved in intracellular survival. Infect Immun. 2000, 68: 7069-7077. 10.1128/IAI.68.12.7069-7077.2000.

    PubMed Central  CAS  PubMed  Google Scholar 

  73. 73.

    Kroh HK, Panizzi P, Bock PE: Von Willebrand factor-binding protein is a hysteretic conformational activator of prothrombin. Proc Natl Acad Sci USA. 2009, 106: 7786-7791. 10.1073/pnas.0811750106.

    PubMed Central  CAS  PubMed  Google Scholar 

  74. 74.

    Schonheyder F, Thomsen SB: On the Prothrombin Content in Milk. Acta Physiol Scand. 1942, 4: 309-316. 10.1111/j.1748-1716.1942.tb01464.x.

    CAS  Google Scholar 

  75. 75.

    Clarke SR, Brummell KJ, Horsburgh MJ, McDowell PW, Mohamad SA, Stapleton MR, Acevedo J, Read RC, Day NP, Peacock SJ, Mond JJ, Kokai-Kun JF, Foster SJ: Identification of in vivo-expressed antigens of Staphylococcus aureus and their use in vaccinations for protection against nasal carriage. J Infect Dis. 2006, 193: 1098-1108. 10.1086/501471.

    CAS  PubMed  Google Scholar 

  76. 76.

    Etz H, Minh DB, Henics T, Dryla A, Winkler B, Triska C, Boyd AP, Sollner J, Schmidt W, von Ahsen U, Buschle M, Gill SR, Kolonay J, Khalak H, Fraser CM, von Gabain A, Nagy E, Meinke A: Identification of in vivo expressed vaccine candidate antigens from Staphylococcus aureus. Proc Natl Acad Sci USA. 2002, 99: 6573-6578. 10.1073/pnas.092569199.

    PubMed Central  CAS  PubMed  Google Scholar 

  77. 77.

    Lorenz U, Ohlsen K, Karch H, Hecker M, Thiede A, Hacker J: Human antibody response during sepsis against targets expressed by methicillin resistant Staphylococcus aureus. FEMS Immunol Med Microbiol. 2000, 29: 145-153. 10.1111/j.1574-695X.2000.tb01517.x.

    CAS  PubMed  Google Scholar 

  78. 78.

    Stapleton MR, Horsburgh MJ, Hayhurst EJ, Wright L, Jonsson IM, Tarkowski A, Kokai-Kun JF, Mond JJ, Foster SJ: Characterization of IsaA and SceD, two putative lytic transglycosylases of Staphylococcus aureus. J Bacteriol. 2007, 189: 7316-7325. 10.1128/JB.00734-07.

    PubMed Central  CAS  PubMed  Google Scholar 

  79. 79.

    Ahrens P, Andresen LO: Cloning and sequence analysis of genes encoding Staphylococcus hyicus exfoliative toxin types A, B, C, and D. J Bacteriol. 2004, 186: 1833-1837. 10.1128/JB.186.6.1833-1837.2004.

    PubMed Central  CAS  PubMed  Google Scholar 

  80. 80.

    Yamasaki O, Tristan A, Yamaguchi T, Sugai M, Lina G, Bes M, Vandenesch F, Etienne J: Distribution of the exfoliative toxin D gene in clinical Staphylococcus aureus isolates in France. Clin Microbiol Infect. 2006, 12: 585-588. 10.1111/j.1469-0691.2006.01410.x.

    CAS  PubMed  Google Scholar 

  81. 81.

    Bergonier D, de CR, Rupp R, Lagriffoul G, Berthelot X: Mastitis of dairy small ruminants. Vet Res. 2003, 34: 689-716. 10.1051/vetres:2003030.

    PubMed  Google Scholar 

  82. 82.

    Zhang A, Xie C, Chen H, Jin M: Identification of immunogenic cell wall-associated proteins of Streptococcus suis serotype 2. Proteomics. 2008, 8: 3506-3515. 10.1002/pmic.200800007.

    CAS  PubMed  Google Scholar 

  83. 83.

    Kimmel B, Bosserhoff A, Frank R, Gross R, Goebel W, Beier D: Identification of immunodominant antigens from Helicobacter pylori and evaluation of their reactivities with sera from patients with different gastroduodenal pathologies. Infect Immun. 2000, 68: 915-920. 10.1128/IAI.68.2.915-920.2000.

    PubMed Central  CAS  PubMed  Google Scholar 

  84. 84.

    Mendum TA, Newcombe J, McNeilly CL, McFadden J: Towards the immunoproteome of Neisseria meningitidis. PLoS One. 2009, 4: e5940-10.1371/journal.pone.0005940.

    PubMed Central  PubMed  Google Scholar 

  85. 85.

    Chitlaru T, Gat O, Grosfeld H, Inbar I, Gozlan Y, Shafferman A: Identification of in vivo-expressed immunogenic proteins by serological proteome analysis of the Bacillus anthracis secretome. Infect Immun. 2007, 75: 2841-2852. 10.1128/IAI.02029-06.

    PubMed Central  CAS  PubMed  Google Scholar 

  86. 86.

    Sellman BR, Howell AP, Kelly-Boyd C, Baker SM: Identification of immunogenic and serum binding proteins of Staphylococcus epidermidis. Infect Immun. 2005, 73: 6591-6600. 10.1128/IAI.73.10.6591-6600.2005.

    PubMed Central  CAS  PubMed  Google Scholar 

  87. 87.

    Pitarch A, Nombela C, Gil C: Proteomic profiling of serologic response to Candida albicans during host-commensal and host-pathogen interactions. Methods Mol Biol. 2009, 470: 369-411. full_text.

    CAS  PubMed  Google Scholar 

  88. 88.

    Peng SY, Lee KM, Tsaihong JC, Cheng PC, Fan PC: Evaluation of recombinant fructose-1,6-bisphosphate aldolase ELISA test for the diagnosis of Schistosoma japonicum in water buffaloes. Res Vet Sci. 2008, 85: 527-533. 10.1016/j.rvsc.2008.02.005.

    CAS  PubMed  Google Scholar 

  89. 89.

    Geng H, Zhu L, Yuan Y, Zhang W, Li W, Wang J, Zheng Y, Wei K, Cao W, Wang H, Jiang Y: Identification and characterization of novel immunogenic proteins of Streptococcus suis serotype 2. J Proteome Res. 2008, 7: 4132-4142. 10.1021/pr800196v.

    CAS  PubMed  Google Scholar 

  90. 90.

    Sekeyova Z, Kowalczewska M, Decloquement P, Pelletier N, Spitalska E, Raoult D: Identification of protein candidates for the serodiagnosis of Q fever endocarditis by an immunoproteomic approach. Eur J Clin Microbiol Infect Dis. 2009, 28: 287-295. 10.1007/s10096-008-0621-4.

    CAS  PubMed  Google Scholar 

  91. 91.

    Dai Y, Zhu Y, Harn DA, Wang X, Tang J, Zhao S, Lu F, Guan X: DNA vaccination by electroporation and boosting with recombinant proteins enhances the efficacy of DNA vaccines for Schistosomiasis japonica. Clin Vaccine Immunol. 2009, 16: 1796-1803. 10.1128/CVI.00231-09.

    PubMed Central  CAS  PubMed  Google Scholar 

  92. 92.

    Da'dara AA, Li YS, Xiong T, Zhou J, Williams GM, McManus DP, Feng Z, Yu XL, Gray DJ, Harn DA: DNA-based vaccines protect against zoonotic schistosomiasis in water buffalo. Vaccine. 2008, 26: 3617-3625.

    PubMed Central  PubMed  Google Scholar 

  93. 93.

    Brady RA, Leid JG, Camper AK, Costerton JW, Shirtliff ME: Identification of Staphylococcus aureus proteins recognized by the antibody-mediated immune response to a biofilm infection. Infect Immun. 2006, 74: 3415-3426. 10.1128/IAI.00392-06.

    PubMed Central  CAS  PubMed  Google Scholar 

  94. 94.

    Bercic RL, Slavec B, Lavric M, Narat M, Bidovec A, Dovc P, Bencina D: Identification of major immunogenic proteins of Mycoplasma synoviae isolates. Vet Microbiol. 2008, 127: 147-154. 10.1016/j.vetmic.2007.07.020.

    CAS  PubMed  Google Scholar 

  95. 95.

    Thompson HC, Snyder IS: Protection against pneumococcal infection by a ribosomal preparation. Infect Immun. 1971, 3: 16-23.

    PubMed Central  CAS  PubMed  Google Scholar 

  96. 96.

    Hajem N, Weintraub A, Nimtz M, Romling U, Pahlson C: A study of the antigenicity of Rickettsia helvetica proteins using two-dimensional gel electrophoresis. APMIS. 2009, 117: 253-262. 10.1111/j.1600-0463.2009.02435.x.

    CAS  PubMed  Google Scholar 

  97. 97.

    John M, Kudva IT, Griffin RW, Dodson AW, McManus B, Krastins B, Sarracino D, Progulske-Fox A, Hillman JD, Handfield M, Tarr PI, Calderwood SB: Use of in vivo-induced antigen technology for identification of Escherichia coli O157:H7 proteins expressed during human infection. Infect Immun. 2005, 73: 2665-2679. 10.1128/IAI.73.5.2665-2679.2005.

    PubMed Central  CAS  PubMed  Google Scholar 

  98. 98.

    Brakstad OG, Maeland JA: Generation and characterization of monoclonal antibodies against Staphylococcus aureus thermonuclease. APMIS. 1989, 97: 166-174. 10.1111/j.1699-0463.1989.tb00772.x.

    CAS  PubMed  Google Scholar 

  99. 99.

    Havlasova J, Hernychova L, Brychta M, Hubalek M, Lenco J, Larsson P, Lundqvist M, Forsman M, Krocova Z, Stulik J, Macela A: Proteomic analysis of anti-Francisella tularensis LVS antibody response in murine model of tularemia. Proteomics. 2005, 5: 2090-2103. 10.1002/pmic.200401123.

    CAS  PubMed  Google Scholar 

  100. 100.

    Schaffer AC, Lee JC: Vaccination and passive immunisation against Staphylococcus aureus. Int J Antimicrob Agents. 2008, 32 (Suppl 1): S71-S78. 10.1016/j.ijantimicag.2008.06.009.

    CAS  PubMed  Google Scholar 

  101. 101.

    Tempelmans Plat-Sinnige MJ, Verkaik NJ, van Wamel WJ, de GN, Acton DS, van BA: Induction of Staphylococcus aureus-specific IgA and agglutination potency in milk of cows by mucosal immunization. Vaccine. 2009, 27: 4001-4009. 10.1016/j.vaccine.2009.04.034.

    CAS  PubMed  Google Scholar 

  102. 102.

    Verkaik NJ, Boelens HA, de Vogel CP, Tavakol M, Bode LG, Verbrugh HA, van BA, van Wamel WJ: Heterogeneity of the humoral immune response following Staphylococcus aureus bacteremia. Eur J Clin Microbiol Infect Dis. 2010, 29: 509-518. 10.1007/s10096-010-0888-0.

    PubMed Central  CAS  PubMed  Google Scholar 

  103. 103.

    Mackey-Lawrence NM, Potter DE, Cerca N, Jefferson KK: Staphylococcus aureus immunodominant surface antigen B is a cell-surface associated nucleic acid binding protein. BMC Microbiol. 2009, 9: 61-10.1186/1471-2180-9-61.

    PubMed Central  PubMed  Google Scholar 

  104. 104.

    Heinrichs JH, Gatlin LE, Kunsch C, Choi GH, Hanson MS: Identification and characterization of SirA, an iron-regulated protein from Staphylococcus aureus. J Bacteriol. 1999, 181: 1436-1443.

    PubMed Central  CAS  PubMed  Google Scholar 

  105. 105.

    Ster C, Beaudoin F, Diarra MS, Jacques M, Malouin F, Lacasse P: Evaluation of some Staphylococcus aureus iron-regulated proteins as vaccine targets. Vet Immunol Immunopathol. 2010, 136: 311-318. 10.1016/j.vetimm.2010.03.010.

    CAS  PubMed  Google Scholar 

  106. 106.

    Samukawa T, Yamanaka N, Hollingshead S, Klingman K, Faden H: Immune responses to specific antigens of Streptococcus pneumoniae and Moraxella catarrhalis in the respiratory tract. Infect Immun. 2000, 68: 1569-1573. 10.1128/IAI.68.3.1569-1573.2000.

    PubMed Central  CAS  PubMed  Google Scholar 

  107. 107.

    Christensson B, Hedstrom SA, Kronvall G: Antibody response to alpha- and betahemolysin from Staphylococcus aureus in patients with staphylococcal infections and in normals. Acta Pathol Microbiol Immunol Scand B. 1983, 91: 351-356.

    CAS  PubMed  Google Scholar 

  108. 108.

    Holtfreter S, Kolata J, Broker BM: Towards the immune proteome of Staphylococcus aureus - The anti-S. aureus antibody response. Int J Med Microbiol. 2010, 300: 176-192. 10.1016/j.ijmm.2009.10.002.

    CAS  PubMed  Google Scholar 

  109. 109.

    Verkaik NJ, Dauwalder O, Antri K, Boubekri I, de Vogel CP, Badiou C, Bes M, Vandenesch F, Tazir M, Hooijkaas H, Verbrugh HA, van Belkum A, Etienne J, Lina G, Ramdani-Bouguessa N, van Wamel WJ: Immunogenicity of toxins during Staphylococcus aureus infection. Clin Infect Dis. 2010, 50: 61-68. 10.1086/648673.

    CAS  PubMed  Google Scholar 

  110. 110.

    Rainard P, Corrales JC, Barrio MB, Cochard T, Poutrel B: Leucotoxic activities of Staphylococcus aureus strains isolated from cows, ewes, and goats with mastitis: importance of LukM/LukF'-PV leukotoxin. Clin Diagn Lab Immunol. 2003, 10: 272-277.

    PubMed Central  CAS  PubMed  Google Scholar 

  111. 111.

    Weichhart T, Horky M, Sollner J, Gangl S, Henics T, Nagy E, Meinke A, von GA, Fraser CM, Gill SR, Hafner M, von Ahsen U: Functional selection of vaccine candidate peptides from Staphylococcus aureus whole-genome expression libraries in vitro. Infect Immun. 2003, 71: 4633-4641. 10.1128/IAI.71.8.4633-4641.2003.

    PubMed Central  CAS  PubMed  Google Scholar 

  112. 112.

    Dryla A, Prustomersky S, Gelbmann D, Hanner M, Bettinger E, Kocsis B, Kustos T, Henics T, Meinke A, Nagy E: Comparison of antibody repertoires against Staphylococcus aureus in healthy individuals and in acutely infected patients. Clin Diagn Lab Immunol. 2005, 12: 387-398.

    PubMed Central  CAS  PubMed  Google Scholar 

Download references


Caroline Le Maréchal is the recipient of a PhD grant from the French National Institute for Agricultural Research (INRA) and the Agence Nationale de Sécurité Sanitaire (ANSES), IMISa Project. CLM received a 3-month grant from Université Européenne de Bretagne (UEB).

Author information



Corresponding author

Correspondence to Yves Le Loir.

Additional information

Competing interests

The authors declare that they have no competing interests.

Authors' contributions

CLM participated in the experimental mastitis in ewes, carried out the 2-DE analyses, participated in the identification of the immunoreactive proteins and drafted the manuscript. JJ and GJ participated in the identification of the immunoreactive proteins by mass spectrometry, SE, NB and RT participated in the design of the study and in the results analyses, CP, JMG and EV carried out the experimental mastitis in ewes, DD and EM carried out the experimental mastitis in mice, DH, PF and JS carried out the genome sequencing and genome sequence analyses, EV and YLL conceived the study, and participated in its design and coordination. All authors read and approved the final manuscript.

Eric Vautor and Yves Le Loir contributed equally to this work.

Electronic supplementary material

Additional file 1: Table S1: Criteria used to define the acuteness of mastitis symptoms (DOC 33 KB)

Figure S1

Additional file 2: : Dynamics of gangrenous mastitis onset in ewes infected by S. aureus O11 (argyles) and O46 (squares). (PDF 56 KB)

Figure S2

Additional file 3: : (A) Intramammary growth of S. aureus strain O11 and O46 in CD-1 mice. Populations are the mean values of S. aureus counts in homogenates of 12 mice mammary gland. (B) Temperature of infected mice 24h post-infusion. The mean value of the groups of mice infected with S. aureus O11 or O46 is given. The dashed line indicates the temperature of the animals at T0, before infection. Asterisks indicate statistically significant values. (PDF 34 KB)

Figure S3

Additional file 4: : Quantification of IL1β, IL6, TNF, KC and MCP-1 in mammary gland lysates with BD Cytometric Bead Array. Cytokines were quantified on homogenates of mammary glands infected by S. aureus O11 or O46. Quantities are the mean values of 6 homogenates for each group (O11 and O46) and are expressed in pg/20 μg of total protein. (PDF 42 KB)

Figure S4

Additional file 5: : Quantification of IL1β, IL6, TNF, KC and MCP-1 in serum with BD Cytometric Bead Array. Cytokines were quantified in sera collected on 12 mice infected by S. aureus O11 (6 sera) or O46 (6 sera). Quantities are the mean values of 6 sera for each group (O11 and O46) and are expressed in pg/mL. (PDF 41 KB)

Figure S5

Additional file 6: : Representative 2-DE gels and SERPA on cell wall fraction (upper panels) and total proteins (lower panels) of S. aureus O11. Supernatant samples were prepared from late exponential phase cultures of S. aureus strains grown anaerobically on iron-depleted RPMI. Preparative 2-DE gels were Coomassie blue stained (left panel). Gels run in parallel were immunoblotted using the pools of sera obtained from group 1 (infected with O11) animals (middle panels) or from group 2 (infected with O46) animals (right panels). Samples were run in parallel on 13 cm gels (pI 4-7; 12% SDS-PAGE). Spots identified by MS/MS are labeled. (PDF 233 KB)

Figure S6

Additional file 7: : Representative 2-DE gels and SERPA on supernatant fractions of S. aureus O46 (upper panels) and S. aureus O11 (lower panels). Supernatant samples were prepared from late exponential phase cultures of S. aureus strains grown aerobically on iron-depleted RPMI. Preparative 2-DE gels were Coomassie blue stained (left panel). Gels run in parallel were immunoblotted using the pools of sera obtained from group 1 (infected with O11) animals (middle panels) or from group 2 (infected with O46) animals (right panels). Samples were run in parallel on 13 cm gels (pI 3-10; 12% SDS-PAGE). Spots identified by MS/MS are labeled. (PDF 151 KB)

Authors’ original submitted files for images

Rights and permissions

Open Access This article is published under license to BioMed Central Ltd. This is an Open Access article is distributed under the terms of the Creative Commons Attribution License ( ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Reprints and Permissions

About this article

Cite this article

Le Maréchal, C., Jardin, J., Jan, G. et al. Staphylococcus aureus seroproteomes discriminate ruminant isolates causing mild or severe mastitis. Vet Res 42, 35 (2011).

Download citation


  • Mammary Gland
  • Mastitis
  • Somatic Cell Count
  • Immunoreactive Protein
  • Clinical Mastitis