
Identication of Staphylococcus warneri using MALDI-TOF MS / Yılmaz et al.________________________________________________________
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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,