
Identication of Staphylococcus warneri using MALDI-TOF MS / Yılmaz et al.________________________________________________________
2 of 9 3 of 9
INTRODUCTION
Staphylococcus warneri, a coagulase–negative and opportunistic 
pathogen, has been isolated from a variety of sources, including 
animals, humans and food products. It is frequently associated 
with the development of spontaneous staphylococcal infections [1, 
2, 3]. S. warneri has been identiedas the causative agent in sh 
disease outbreaks affecting Siberian sturgeon (Acipenser baerii) 
[4], catsh (Clarias sp.) [5], bronze gudgeon (Coreius guichenoti) 
[6], seven khramulya (Capoeta capoeta) [7] and rainbow trout 
[8, 9, 10]. Clinical signs of infection caused by S. warneri include 
exophthalmos, abdominal ascites, septicaemia, n lesions and 
discoloured kidney and liver [11].
The identifion of S. warneri is typically achieved through 
the isolation of bacterium from diseased sh and subsequent 
characterisation using biochemical, serological and genetic 
methods [9, 10, 11]. However, these methods were not always 
sufcient for distinguish between closely related species of the 
genus Staphylococcus due to the high degree of similarity in the 16S 
rRNA sequences [12]. Consequently, in order to achieve denitive 
identication of S. warneri, it is necessary to employ a conformative 
method in addition to the traditional techniques.
MALDI–TOF MS a proteomic based method, has proven to be a 
powerful diagnostic tool for the determination of microbial diversity 
in clinical and environmental microbiology during last 20 years 
[13, 14]. Unlike conventional methods, MALDI–TOF MS provides 
high throughput, fast, reliable, and easy to use direct strain typing 
(without subculture) which is relatively inexpensive and does not 
require specialized laboratory skills [15]. In addition, MALDI–TOF 
MS provides comparable, sometimes better, results than standard 
16S rRNA gene sequencing, allowing taxonomic classication 
down to the subspecies level [16, 17].
The MALDI–TOF MS technique allows the identification of 
microorganism through protein/peptide proling. The technique 
works by passing a laser through a sample of the bacteria in a 
specialized matrix solution. The laser energy causes the proteins 
in the sample to desorb and ionize. Mass signals from the ionized 
microbial ribosomal peptides, rising into an evacuated detection 
tube, identify the unique mass ngerprints that each species has 
based on their distinctive spectrum of mass/charge ratio (m/z) 
peaks [18]. The resulting bacterial peptide mass ngerprints are 
compared with those in a mass spectral library of pre–existing 
reference strains in the database [19]. The comparison of these 
proles with the database allows for identication of bacterial 
genus or species based on the peptide composition.
Previous studies have demonstrated that the use of MALDI–TOF 
MS technique accurately identied bacterial pathogens [20] of 
signicance to sh species such as Vibrio [21], Mycobacterium 
[22, 23], Enterobacterales [24], Staphylococcus [2], Tenacibaculum 
[25],  Photobacterium damselae [26],  Streptococcus iniae 
[27], Flavobacterium [28], Pseudomonas [29], Renibacterium 
salmoninarum [30], Vagococcus salmoninarum [31] and Yersinia 
ruckeri. S. warneri has been identied from some aquaculture 
food products and sea water using MALDI–TOF MS technique, 
however it has not been used for the identication of S. warneri 
from rainbow trout.
The principal aim of this study was to develop a rapid and 
accurate proteomic approach utilising MALDI–TOF MS technology 
for the identication of S. warneri in samples obtained during 
staphylococcosis outbreaks on rainbow trout farms. In addition, the 
present study sought to evaluate the accuracy of MALDI–TOF MS 
analysis in comparison with three conventional diagnostic methods. 
The application of MALDI–TOF MS in the context of aquaculture 
diseases, bacterial and fungal disease agents is expected to 
signicantly improve the speed and accuracy of diagnoses. It 
also holds promise in facilitating the assessment of phylogenetic 
relationships between closely related bacterial species that have 
been difcult to identify.
MATERIALS AND METHODS
Fish sampling and necropsy
The rst sampling of a total of fty dead rainbow trout with 
between of 7.5–20 g was carried out in March (2022) when the 
disease outbreak was reported from two commercial trout farms 
located in the Aegean (n=10) and Mediterranean (n=15) regions, 
and the second sampling was carried out in March (2024) from 
two different commercial farms in the Mediterranean (n=25) 
region and they were transported to the laboratory under sterile 
conditions. At the time of sampling, the water temperature in the 
ponds was between 11 to 15°C, oxygen 10.8–11.0 ppm and pH 
7.0 on average. The external surfaces of freshly dead sh showing 
signs of disease were macroscopically examined and the body 
surface of the sh was then disinfected with 70–80% ethanol 
for necropsy in a biological safety cabinet for dissection. During 
necropsy, aseptic samples were taken from ns, skin, gills, liver, 
spleen and kidneys for phenotypic, histopathological, genetic and 
MALDI–TOF MS analyses.
Bacterial strains and growth conditions
Reference strains S. warneri ATCC 27836, S. pasteuri ATCC 
51129 and S. epidermidis ATCC 35538 and clinic samples were 
cultured using tryptic soy agar (TSA) and tryptic soy broth (TSB) 
(Merck, Germany) at 25°C for 24–48 h [1, 6].
Biochemical identication analysis
Isolated colonies were subcultured and were characterized 
using the BBL Crystal™GP system (BD, Becton Dickinson, USA) 
according to the manufacturer’s manual.
Antibiotic susceptibility analysis
The isolated colonies were incubated on TSB at 25°C for 24 h for 
antimicrobial susceptibility testing determined by Kirby–Bauer disk 
diffusion method [32]. The bacterial suspensions were reduced to 
0.5 McFarland turbidity. The bacterial samples were inoculated on 
a Mueller Hinton agar (MHA) (Merck, Germany) plate containing 5% 
sheep blood. Antibiotic disks were placed on the petri dishes. Thirty 
antibiotics (Merck, Germany) were used for susceptibility tests, 
respectively; Oxolinic Acid, Tetracycline, Penicillin, Amoxicillin, 
Nalidixic Acid, Tetracycline, Lincomycin, Nitrofurantoin, Florfenicol, 
Kanamycin, Gentamycin, Ofloxacin, Enrofloxacin, Cefoperazone, 
Norfloxacin, Vancomycin, Cefurocime, Flumequine, Sulphamethox, 
Doxycycline, Apramycin, Cephalothin, Neomycin, Oxacillin,