Influence of Moraxella sp. colonization on the kidney proteome of farmed gilthead sea breams (Sparus aurata, L.)
© Addis et al; licensee BioMed Central Ltd. 2010
Received: 1 June 2010
Accepted: 12 October 2010
Published: 12 October 2010
Currently, presence of Moraxella sp. in internal organs of fish is not considered detrimental for fish farming. However, bacterial colonization of internal organs can affect fish wellness and decrease growth rate, stress resistance, and immune response. Recently, there have been reports by farmers concerning slow growth, poor feed conversion, and low average weight increase of fish farmed in offshore floating sea cages, often associated with internal organ colonization by Moraxella sp. Therefore, presence of these opportunistic bacteria deserves further investigations for elucidating incidence and impact on fish metabolism.
A total of 960 gilthead sea breams (Sparus aurata, L.), collected along 17 months from four offshore sea cage plants and two natural lagoons in Sardinia, were subjected to routine microbiological examination of internal organs throughout the production cycle. Thirteen subjects (1.35%) were found positive for Moraxella sp. in the kidney (7), brain (3), eye (1), spleen (1), and perivisceral fat (1). In order to investigate the influence of Moraxella sp. colonization, positive and negative kidney samples were subjected to a differential proteomics study by means of 2-D PAGE and mass spectrometry. Interestingly, Moraxella sp. infected kidneys displayed a concerted upregulation of several mitochondrial enzymes compared to negative tissues, reinforcing previous observations following lipopolysaccharide (LPS) challenge in fish.
Presence of Moraxella sp. in farmed sea bream kidney is able to induce proteome alterations similar to those described following LPS challenge in other fish species. This study revealed that Moraxella sp. might be causing metabolic alterations in fish, and provided indications on proteins that could be investigated as markers of infection by Gram-negative bacteria within farming plants.
The occurrence of a bacterial infection outbreak in an aquaculture plant can produce important detrimental effects, including decreased growth rate, impaired fish wellness, and poor productivity, and may rapidly lead to widespread fish losses if left uncontrolled . Therefore, the tanks or cages need to be constantly monitored for absence of potentially deleterious bacteria. However, several bacterial species isolated from fish tissues, including Moraxella , do not currently receive attention as potentially harmful for the fish farming economy, although infections by Moraxella sp. are becoming increasingly common in Mediterranean aquaculture plants. There have been increasing reports from farmers concerning slow fish growth, losses in production efficiency, and poor feed conversion, which fail to be associated to presence of known bacterial pathogens. Such problems might be associated to colonization by opportunistic bacterial species that, although not causing clinically evident pathogenic effects, do impair production efficiency. In many of these occurrences, Moraxella sp. was isolated from internal organs of fish within the problematic farm (Fulvio Salati, unpublished observations). In our opinion, this finding deserves further attention, and investigations are needed in order to assess its biological significance and evaluate its consequences on aquaculture production. In fact, although detection of Moraxella sp. in fish has not yet been associated to infection outbreaks with significant economical losses for aquaculture plants, presence of bacteria in internal organs of fish may reduce fish wellness and growth, and result in symptomatic infections under stressful conditions . Moreover, Corbeil et al.  demonstrated that presence of Moraxella sp. can also enhance the growth of other bacterial pathogens, such as Mannheimia haemolytica, Pasteurella multocida, and Histophilus somni.
Moraxella sp. can be directly responsible for symptomatic disease in different host species. In cattle, for instance, M. bovis is the most commonly recognized cause of infectious keratoconjunctivitis (pink eye) , whereas other species such as M. bovoculi and M. ovis are increasingly associated to conjunctivitis in cattle and small ruminants [6–8]. In humans, although long considered as a harmless commensal, Moraxella sp. is now commonly accepted as a pathogen responsible for otitis media, sinusitis and, occasionally, laryngitis . In particular, M. catarrhalis is associated with nosocomial infections. It can act as an "opportunistic pathogen" in the immunocompromised host and in patients with underlying chronic lung disease, causing bronchitis, pneumonia and, occasionally, bacteremia and meningitis [10–14]. Apart from the consequences deriving from specific pathogenetic mechanisms, non-specific responses can also be produced on the host by the lipopolysaccharide (LPS) of Gram-negative bacteria, that acts as a non-specific endotoxin; different authors explored the consequences of LPS administration in fish, with interesting results [15, 16].
In order to elucidate the influence of internal organ colonization by Moraxella sp. in economically relevant fish, internal organs of farmed and wild gilthead sea bream (Sparus aurata, L.) were monitored for presence of pathogens throughout the production cycle. Individuals positive for Moraxella sp. were subjected to a proteomic study in order to investigate the consequences of bacterial colonization on the host tissue metabolism.
Presence of Moraxella sp. in gilthead sea bream
Summary of data on individuals positive to Moraxella sp.
Case No. and Localization
Parameters (mean cage parameters for 100 fish)
O 2 (mg/L)
12.2 (12.0 ± 1.1)
28.1 (27.1 ± 6.8)
1.55 (1.52 ± 0.08)
1. Perivisceral fat
24.0 (19.2 ± 1.3)
216.0 (126.0 ± 30.4)
2.03 (1.75 ± 0.12)
13.3 (13.4 ± 0.8)
35.7 (35.6 ± 6.7)
1.52 (1.47 ± 0.08)
14.4 (14.3 ± 1.0)
43.5 (44.0 ± 9.3)
1.43 (1.48 ± 0.09)
27.2 (26.0 ± 1.7)
327.0 (272.3 ± 60.3)
1.63 (1.53 ± 0.10)
25.3 (26.0 ± 1.7)
230.0 (272.3 ± 60.3)
1.42 (1.53 ± 0.10)
19.5 (20.6 ± 1.2)
125.6 (157.7 ± 31.9)
1.69 (1.79 ± 0.10)
19.7 (20.6 ± 1.2)
147.8 (157.7 ± 31.9)
1.93 (1.79 ± 0.10)
20.6 (20.6 ± 1.2)
161.1 (157.7 ± 31.9)
1.84 (1.79 ± 0.10)
25.3 (26.2 ± 1.7)
249.0 (290.7 ± 60.1)
1.54 (1.59 ± 0.08)
24.4 (26.6 ± 1.2)
225.4 (276.6 ± 42.5)
1.55 (1.49 ± 0.08)
28.4 (26.6 ± 1.2)
353.9 (276.6 ± 42.5)
1.54 (1.49 ± 0.08)
26.7 (26.6 ± 1.2)
299.1 (276.6 ± 42.5)
1.57 (1.49 ± 0.08)
Bacterial colonization was detected mainly in kidney (7), followed by brain (3), eye (1), spleen (1), and perivisceral fat (1). As far as samplings are concerned, kidney positivity was present in 6 out of 8 positive samplings. Moreover, when more than one individual in a cage or lagoon was colonized by Moraxella sp., kidney was always involved (Table 1). Twelve positive fish out of 13 were apparently healthy, and size, weight, and K index were within 1SD from the mean. The seabream with eye positivity, on the contrary, suffered a serious exophtalmus. This was particularly interesting since colonization by Moraxella sp. is often associated to conjunctivitis in different mammalian host species.
2-D PAGE and image analysis of kidney tissue
Being the organ most affected by Moraxella sp. colonization in this study, kidney was investigated for presence of biochemical markers related to presence of these bacteria. A gel-based proteomic approach was chosen for this study, since it provides a top-down, comprehensive picture of the total protein expression pattern of a tissue, and enables its comparison among different physiological and pathological states. This is especially valuable when scarce information is available about an organism or tissue proteome, as is the case of gilthead sea bream and most fin fish. In fact, in the scientific literature there are virtually no proteome expression data on sea bream kidney, and proteomic data on fish kidney in general are very scarce.
The 10 best resolved 2-D maps of kidney tissue were selected for image analysis (3 maps from positive samples, 1 from farm D and 2 from the natural population lagoon E, and 7 maps from negative samples, 4 from farm D and 3 from the natural population lagoon E). A very high number of spots (about 600 per map) was generally observed in all maps selected for image analysis, especially when considering that a medium-sensitivity, mass-spectrometry compatible stain was used. The protein maps appeared well balanced in terms of relative expression. A predominant expression level could be observed only for a few high-abundance proteins, which however did not hamper generation of well-focused and resolved maps. Upon image analysis with ImageMaster 2D Platinum V. 6.0, protein patterns were highly reproducible, and spots could be easily matched among all selected maps. The matching statistics for 2-D maps from different individuals were around 60%. After definition of landmarks, elimination of erroneously detected spots, deletion of wrong matches, and correction of missed matches, the match statistics report rose to 75%.
Differential expression of kidney proteins upon colonization by Moraxella sp
Proteins identified in sea bream kidney tissue.
Alanine aminotransferase, mt
Aldehyde dehydrogenase, mt
Dihydrodipicolinate synthase, mt
Methylmalonate semialdehyde dehydrogenase, mt
Dihydrodipicolinate synthase, mt
ATP synthase, beta subunit, mt
ATP synthase, mt
Acyl-Co A dehydrogenase, mt
Fructose-biphosphate aldolase B
Electron transfer flavopr. alpha, mt
Peroxiredoxin family protein
Enoyl-CoA hydratase short chain
Nucleoside diphosphate kinase
Cu/Zn superoxide dismutase
Several other protein spots showed an increase of expression levels higher than 1.5 fold in Moraxella-positive kidney, but p values were higher than 0.05. Although less relevant as indicators of an infection state, these proteins were subjected to mass spectrometry identification in order to gain further knowledge on the influence of bacterial colonization in fish kidney metabolism, together with other few proteins with fold changes slightly lower than 1.5 (Fig. 1). The highest abundance spots, expectedly related to actin and globins (n = 6), were also excised and subjected to identification as controls. After MS analysis, 31 proteins were identified, and are listed in Table 2 according to the numbering indicated in Fig. 1. Table 2 reports also fold changes and p values for all protein spots considered in this study.
Several indicators suggest that sea bream colonization by bacteria belonging to Moraxella species might be increasing in Mediterranean mariculture plants, and that presence of these bacteria in internal organs of farmed fish might be linked to slow growth, reduced wellness, and higher susceptibility to other diseases. In this study, the prevalence of internal organ positivity to Moraxella sp. was found to be of 1.35% on almost 1,000 fish examined. Moraxella sp. colonization was detected throughout the year, in all locations examined, and at different temperatures, both in floating offshore cages and lagoons (Table 1). In general, fish colonization was not associated to evident symptoms, with the exception of a severe exophtalmus observed upon eye positivity. Eye symptoms are consistent with infection by Moraxella sp. in other animal species and in humans. Therefore, Moraxella sp. might be causing ocular damages (i.e. exerting direct pathogenic effects) also in fish, although presence of other underlying conditions could not be ruled out completely.
Many diseases of fish have a multifactorial origin, and might stem from presence of an aetiological agent combined with environmental stresses. As such, Moraxella sp. might be considered an opportunistic bacterial pathogen, which could cause illness in "stressed" fish. Indeed, colonization of internal organs might impair the physiological tissue functions and render fish more vulnerable to the environment or to the occurrence of infections by other pathogens [3, 4]. Moreover, as reported in other organisms, Moraxella sp. might act as an opportunistic pathogen in fish under acute or chronic stressful conditions, with increased susceptibility to other infectious diseases. In both circumstances, the identification of biochemical markers enabling identification of an early host response to asymptomatic infections by Moraxella sp. and/or other opportunistic Gram-negative pathogens appears of considerable interest. The availability of a preclinical marker would be welcome for detecting colonization and for containing bacterial infection outbreaks before they spread to the whole cage or plant, especially when uncontrolled, wild fish are used for restocking.
The molecular approach used in this study offered us the opportunity to investigate the protein expression profile of healthy, bacteria-free kidneys, and to evaluate the changes that renal tissue undergoes when Gram-negative bacteria are present. Higher relevance was given to proteins with a marked upregulation in the infected kidney, in order to pinpoint proteins with potential as markers of Gram-negative infections, which could be used as tools to quickly detect the menace of an outbreak in the farming plant and enable intervention within short time frames, avoiding loss of fish.
In Moraxella-positive sea bream kidney tissue, seven out of ten proteins showing a statistically significant upregulation were mitochondrial enzymes (Table 2, bold). This was an interesting finding, since mitochondrial proteins are central to various metabolic activities and are key regulators of apoptosis. Notably, disturbance of mitochondrial proteins is often associated with disease .
Interestingly, other non-mitochondrial proteins significantly upregulated in Moraxella- positive kidney tissue were peroxiredoxins and S-adenosyl-homocysteine hydrolase, together with indications about upregulation of antiquitin, Warm acclimation-related protein 65, transferrin, glutathione S-transferase, carbonic anhydrase, and Cu/Zn superoxide dismutase, many of which are known to be related to cellular responses to oxidative stress, infection, inflammation, or programmed cell death processes. Transferrin was also found to be significantly upregulated in rainbow trout serum following intraperitoneal inflammation and LPS injection .
The number of fish used to gather proteomic data in this study was limited, and variations in expression levels of mitochondrial proteins might as well have been induced by other metabolic perturbations, or be dependent on underlying alterations due to non-infectious factors. This notwithstanding, the value of the enzymatic markers proposed in this study is enhanced and reinforced by the fact that our findings, observed in naturally occurring infections by Moraxella sp., are consistent with the data reported by Roher and coworkers  following experimental administration of LPS. These authors investigated the physiological consequences of administrating LPS to rainbow trout. Important changes in metabolic, mitochondrial, and structural genes were observed according to tissue metabolism. In aerobic tissues, that obtain energy mainly from oxidative phosphorylation, LPS provoked marked changes in representative mitochondrial genes, whereas in anaerobic tissues major expression changes were observed in glycolytic enzymes. The findings reported by these authors reinforce the considerations about the potential detrimental effects of internal organ colonization by Gram-negative bacteria, including opportunistic pathogens, on growth and metabolic processes of fish.
This study reports, for the first time and through a differential proteomic investigation of the seabream kidney tissue, that naturally occurring fish infections by Gram-negative bacteria considered as being opportunistic pathogens can alter the expression of mitochondrial enzymes in infected kidney tissues, and therefore produce a condition of stress that has the potential to alter farmed fish metabolism. A panel of up-regulated enzymes was identified in tissues infected by Moraxella sp. The change in expression levels of these proteins could be investigated as a marker of infection by frankly pathogenic Gram-negative bacteria, as well as for the identification of an early host response to asymptomatic infections by opportunistic Gram-negative pathogens in fin fish under stressful conditions.
Gilthead sea bream farming plants and sampling conditions
Gilthead sea bream samplings were performed in 4 offshore sea cage plants and in two natural populations from lagoons. Every two months, for 17 months in total (the entire production cycle, from seeding to commercial size), fish were sampled randomly from each plant, immersed in marine water and ice, and transported to the laboratory. For every sampling, water temperature, salinity, and dissolved oxygen were measured with an immersion thermometer, an optical refractometer, and a HQ 20 Hach Portable LDO™ Dissolved Oxygen Meter (Hach Company, Leveland, CO, USA), respectively. Once in the laboratory, fish were measured, weighed, and the condition factor K = (weight × 100)/total length3 was calculated. Internal organs were collected and stored at -80°C until needed.
A total of 960 fish were examined, 840 from floating sea cages and 120 from natural lagoons. Gross-anatomy, parasitological and microbiological examinations were carried out to reveal the presence of diseases. Microbiological examination was carried out by classical methods as previously described . In particular, bacterial isolation was carried out by loop on Brain Heart Infusion (BHI) (Difco Laboratories, Detroit, MI, USA) Agar plates added with 1.0% NaCl and incubated at 20°C. Isolates from kidney, brain, eyes, and perivisceral fat on BHI agar were examined by optical microscopy after Gram staining, and subjected to routine tests for the determination of biochemical characteristics as described in the Manual of Methods for General Bacteriology . Classification in groups and bacterial strain identification was made on the basis of morphological and biochemical characteristics of the isolates and by means of API Galleries 20E or 20NE (bioMérieux, Roma, Italy). Then, identification of Moraxella sp. was confirmed by PCR, using the primers designed on the ITS of M. catarrhalis strain BCRC 10630 16S-23S ribosomal RNA, complete sequence EU014605.1. In particular, PCR was carried out in a reaction mixture containing 3.0 mM MgCl2 (Invitrogen, San Diego, CA), 0.2 μM of each primer, 0.5 mM of dNTPs (dCTP, dGTP, dATP, dTTP) (Invitrogen), 1 U of Platinum Taq DNA Polymerase (Invitrogen), 1 μl of the extracted DNA and nuclease free water up to 25 μl of final volume. MM19 (5'-ATA ACG CGG GGG TCA TAA GTT-3') and MM20 (5'-GTT TAC GCT TGA TTC AGT TCT CTT-3') were used as forward and reverse primer respectively in order to amplify an approximate 330 bp target region within the 16S -23S rRNA intergenic spacer. They were synthesized by MWG Biotech (Germany). PCR was performed in an MJ Mini thermal cycler (Biorad Laboratories, Berkeley, CA) using the following thermal parameters: 2 min at 95°C, then 40 cycles of 30 s at 95°C, 30 s at 51°C and 1 min at 72°C, followed by a final elongation of 7 min at 72°C. A 2% SYBR Safe (Invitrogen) stained agarose gel was used to evaluate the correct amplification of the target; 7 μl of the amplification product were visualised with the Safe Imager and the PhotoDoc-It Imaging System (Invitrogen).
Preparation of protein extracts
Protein extracts were obtained from frozen kidney tissues as follows. Half organ was minced with a sterile scalpel and 100 mg of tissue were placed in 2 mL Eppendorf safe-lock tubes (Eppendorf, Hamburg, Germany), immersed at 5% w/v in lysis buffer (8M urea, 4% CHAPS, 0.5% IPG buffer, GE Healthcare, Little Chalfont, UK), and subjected to three cycles of 1.5 min at 30 cycles/s in a TissueLyser mechanical homogenizer (Qiagen, Hilden, Germany). All extracts were clarified for 15 min at 12,000 × g at 4°C, quantified by the Bradford method , checked for quality and quantity by SDS-PAGE, and then stored at -80°C until needed.
Protein electrophoresis and image analysis
SDS-PAGE was performed according to Laemmli  on 10% polyacrylamide gels on a Protean Tetra Cell (Bio-Rad) following the manufacturer's instructions, and gels were stained with the colloidal Coomassie stain . For 2-D PAGE, proteins were diluted in DeStreak rehydration solution (GE Healthcare). Resuspended proteins (600 μg) were absorbed overnight into 24 cm IPG strips (GE Healthcare, pH 3-10 NL), and focused on an IPGPhor instrument (GE Healthcare) for a total of 80,000 Vh. After focusing, strips were equilibrated in 50 mM Tris HCl, pH 6.8, 2% SDS, 7 M urea, 10% glycerol, supplemented with 2% DTT for 15 min, and then with 2.5% iodoacetamide for 15 min. The second dimension (SDS-PAGE) was performed on 8% to 16% polyacrylamide gradient gels, on an Ettan DALTsix electrophoresis system (GE Healthcare), following the manufacturer's instructions. 2-D gels were stained with the colloidal Coomassie method  and images were digitalized with an Image Scanner (GE Healthcare). Digitalized images were then processed with ImageMaster Platinum 6.0 (GE Healthcare) for comparison of protein spots. Images were subjected to an image analysis workflow consisting of spot detection, spot matching, and differential expression analysis. All steps performed by the software were manually checked in order to eliminate errors such as artifactual spots, merged spots, and missed spots. For comparative analysis, %Vol values of spots were compared among the different 2D maps using the default parameters of ImageMaster Platinum 6.0. The data generated by ImageMaster for upregulated spots were used for calculating mean and SD of the %Vol for each spot within the two groups (positive and negative samples), and plotted with Microsoft Excel (Microsoft Corp., Redmond, WA). Statistical significance of differences among the two groups (positive and negative samples) was also assessed by the two-tailed independent groups t-test for means with a 95% confidence level, and p values were calculated.
Spot picking and in-situ tryptic digestion
Protein spots were manually excised from gels, destained with 15 mM K3Fe(CN)6 in 50 mM Na2S2O3, washed with water, and stored in acetonitrile. Spots were then subjected to an O/N tryptic digestion at 37°C in 50 mM NH4HCO3, pH 8.0, using 40 to 100 ng of trypsin depending on spot intensity. Peptide mixtures were collected by squeezing with acetonitrile followed by centrifugation. Peptides were then acidified with TFA 20%, dried in SpeedVac®, resuspended in 0.2% formic acid and stored at -20°C.
MALDI-MS analysis was performed as described previously . Briefly, peptide mixture was mixed with matrix solution on target plate, and allowed to dry at room temperature. MALDI-mass spectra were recorded with a MALDI micro MX mass spectrometer (Waters, Manchester, UK) equipped with a reflectron analyzer and used in delayed extraction mode. Mass calibration was performed by using the standard mixture provided by manufacturer. Raw data, reported as monoisotopic masses, were then introduced into in house MASCOT peptide mass fingerprinting search program (Version 2.2, Matrix Science, Boston, MA), and used for protein identification.
LC-MS/MS analyses were performed as described previously  on a Q-TOF hybrid mass spectrometer equipped with a nano lock Z-spray source, and coupled on-line with a capillary chromatography system CapLC (Waters). After loading, the peptide mixture was first concentrated and then washed onto a reverse-phase pre-column (Symmetry 300, C18, 5 μm, NanoEase, Waters). The sample was then fractionated onto a C18 reverse-phase capillary column (Nanoflow column 5 μm Biosphere C18, 75 μm × 200 mm, Nanoseparations). The mass spectrometer was set up in a data-dependent MS/MS mode where a full scan spectrum was followed by tandem mass spectra. Peptide ions were selected as the three most intense peaks of the previous scan. Suitable collision energy was applied depending on the mass and charge of the precursor ion. Argon was used as the collision gas. ProteinLynx software, provided by the manufacturers, was used to analyze raw MS and MS/MS spectra and to generate a peak list which was introduced in the in-house Mascot MS/MS ion search software for protein identification.
The authors wish to thank Elia Bonaglini and Maria Cristina Porcu for their help with sampling and dissection of seabreams. The assistance of Carla Cacciotto while performing protein electrophoresis and MALDI-MS is also acknowledged. We also thank the fish farmers from La Maricoltura Alghero, Compagnie Ittiche Riunite, Marina 2000, Sardegna Maricoltura, Cooperativa Allevatori & Molluschicultori Cabras, and Cooperativa Pescatori Tortolì, for providing the gilthead sea breams and for their cooperation throughout the study. This work was supported by funding from Regione Autonoma della Sardegna - "Progetto Cluster: Protocolli per la qualità e la tracciabilità dei prodotti ittici".
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