Received: 19/11/2024 Accepted: 07/01/2025 Published: 11/03/2025 1 of 9
https://doi.org/10.52973/rcfcv-e35574 RevistaCientíca,FCV-LUZ/Vol.XXXV
ABSTRACT
Staphylococcus warneri, an opportunistic pathogen, is a causative
agent of mortal diseases in rainbow trout farming (Oncorhynchus
mykiss), which are of great economic value for Türkiye. In
this study, in addition to traditional phenotypic, biochemical,
histopathological and genetic methods, a high throughput
proteomics based Matrix Assisted Laser Desorption/Ionization
Time of Flight Mass Spectrometry (MALDI–TOF MS) method was
performed for precise identication of S. warneri. Fourteen isolates
obtained from skin, gills, liver, spleen and kidney of a total of fty
diseased sh were phenotypically conrmed as S. warneri using
the BBL Crystal
TM
GP identication system. Only 43% of these
isolates showed positive PCR amplication for the 16S rRNA and
sodA (superoxide dismutase A) gene, while 100% were identied
as S. warneri by MALDITOF MS technique with high mass score
value (m/z) between 2.35 and 3.05. From the comparative data
obtained, it was concluded that MALDITOF mass spectrometry
analysis can be recommended for the denitive conrmation
of S. warneri, which showed indistinguishably close similarities
with 16S rRNA gene sequences and sodA PCR results. To the
best of knowledge, this is the rst report to validate the results of
phenotypic, biochemical, genetic and histological methods by the
MALDITOF MS and shows that this is a successful identication
approach, providing a high mass score (m/z) with 100% matching
for accurate and faster identication of S. warneri. This promising
diagnostic technique can identify many different bacterial sh
pathogens, although a larger protein mass database for aquatic
organisms is needed.
Key words: Staphylococcus warneri; MALDITOF MS; BBL
Crystal
TM
GP; 16S rRNA; sodA
RESUMEN
Staphylococcus warneri, un patógeno oportunista, es un agente
causante de enfermedades mortales en la cría de la trucha
arco iris (Oncorhynchus mykiss) de gran valor económico para
Türkiye. En este estudio, además de los métodos fenotípicos,
bioquímicos, histopatológicos y genéticos tradicionales, se
utilizó un método de proteómica de alto rendimiento basado
en la espectrometría de masas por ionización/desorción láser
asistida por matriz (MALDI–TOF MS) para la identicación precisa
de S. warneri. Catorce aislados obtenidos de piel, branquias,
hígado, bazo y riñón de un total de cincuenta peces enfermos
se conrmaron fenotípicamente como S. warneri mediante el
sistema de identicación BBL Crystal
TM
GP. Sólo el 43 % de estos
aislados mostraron una amplicación positiva por PCR para el
gen 16S rRNA y sodA (superóxido dismutasa A), mientras que el
100 % fueron identicados como S. warneri mediante la técnica
MALDITOF MS con un alto valor de puntuación de masa (m/z)
entre 2.35 y 3.05. A partir de los datos comparativos obtenidos,
se concluyó que el análisis de espectrometría de masas MALDI
TOF puede recomendarse para la conrmación denitiva de S.
warneri, que mostró similitudes indistinguiblemente cercanas
con las secuencias del gen 16S rRNA y los resultados de la PCR
sodA. Hasta donde se sabe, éste es el primer informe que valida
los resultados de métodos fenotípicos, bioquímicos, genéticos e
histológicos mediante la MALDI–TOF y demuestra que se trata
de un método de identicación satisfactorio, que proporciona
una puntuación de masa elevada (m/z) con una coincidencia del
100 % para una identicación precisa y más rápida de S. warneri.
Esta prometedora técnica de diagnóstico puede identicar muchos
patógenos bacterianos de peces diferentes, aunque se necesita
una base de datos de masas de proteínas más amplia para los
organismos acuáticos.
Palabras clave: Staphylococcus warneri; MALDI–TOF MS; BBL
Crystal
TM
GP; 16S rRNA; sodA
Identication of Staphylococcus warneri from rainbow trout
(Oncorhynchus mykiss Walbaum, 1792) using proteomics–based
MALDITOF MS
Identicación de Staphylococcus warneri en trucha arcoiris (Oncorhynchus mykiss
Walbaum, 1792) mediante espectrometría de masas MALDITOF basada en proteómica
Hasan Emre Yılmaz
1
, İfakat Tülay Çağatay
2
* , Öznur Diler
3
, Mevlüt Nazıroğlu
3
, Öznur Özil
3
, Şeydanur Kan
3
1
Akdeniz University, Institute of Natural and Applied Sciences. Antalya, Türkiye.
2
Akdeniz University, Faculty of Fisheries, Department of Basic Sciences, Molecular Microbiology Laboratory. Antalya, Türkiye.
3
Isparta University of Applied Sciences, Eğirdir Faculty of Fisheries, Department of Aquaculture. Isparta, Türkiye.
*Corresponding author: tulaycagatay@gmail.com
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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 identiedas the causative agent in sh
disease outbreaks affecting Siberian sturgeon (Acipenser baerii)
[4], catsh (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
sufcient 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 denitive
identication of S. warneri, it is necessary to employ a conformative
method in addition to the traditional techniques.
MALDITOF 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, MALDITOF 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 classication
down to the subspecies level [16, 17].
The MALDITOF MS technique allows the identification of
microorganism through protein/peptide proling. 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
proles with the database allows for identication of bacterial
genus or species based on the peptide composition.
Previous studies have demonstrated that the use of MALDITOF
MS technique accurately identied bacterial pathogens [20] of
signicance 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 identied from some aquaculture
food products and sea water using MALDITOF MS technique,
however it has not been used for the identication 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 identication of S. warneri in samples obtained during
staphylococcosis outbreaks on rainbow trout farms. In addition, the
present study sought to evaluate the accuracy of MALDITOF 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
signicantly 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 difcult 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
MALDITOF 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 identication analysis
Isolated colonies were subcultured and were characterized
using the BBL CrystalGP system (BD, Becton Dickinson, USA)
according to the manufacturers 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,
Identication of Staphylococcus warneri using MALDI-TOF MS / Yılmaz et al.________________________________________________________
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Colistin, Ciprofloxacin, Oxytetracycline, Tylosin, Spectinomycin
and Clindamycin antibiotics were evaluated according to Clinical
and Laboratory Standards Institute (CLSI) guidelines The diameters
of the growth zones around the antibiotic disks in these incubated
petri dishes were measured. Isolates and reference strains based
on zone diameters measurement references susceptible (S),
intermediate susceptible (I) and resistant (R) [33].
Histopathological analysis
Ten (S1 to S10) dead sh from different farms with positive
phenotypic, biochemical and genetic analyses were selected for
histopathological analysis. These sh with an average weight of
0.75–20 g were dissected and liver, kidney and spleen tissues
were xed in 10% formaldehyde solution. Tissue samples were
subjected to routine tissue tracing and embedded in parafn.
Tissues were sectioned at 5 μm with a microtome (Leica RM2155,
Leica Microsystems, Wetzlar, Germany). Tissue sections were
stained with hematoxylin and eosin and examined under a light
microscope (Olympus CX21, Olympus Corporation, Tokyo, Japan)
following staining with hematoxylin and eosin.
Analysis of 16S rRNA and sodA genes
The DNeasy blood and tissue kit (Qiagen, USA) was used to
extract DNA from seventeen bacterial cultures following the
manufacturers manual. 16S rRNA and sodA genes were amplied
by polymerase chain reaction (PCR) [12, 34]. PCR protocols and
specic primer sets are listed in TABLE I. PCR amplicons of the
16S rRNA gene from RS1, 2, 3 and S1 to S6 were puried and
sequenced by Macrogen (Holland) (TABLE I).
BioEdit 7.2 (Ibis Biosciences, USA) was employed to align
the DNA sequences. The BLAST program was used to assess
the identity of concatenated sequences by comparing them to
reference sequences in the GenBank database. The ClustalW
algorithm was used in Molecular Evolutionary Genetics Analysis
(MegaX) software for phylogenetic tree construction and the
jModelTest was used to determine the mutation model of the
aligned sequences. MrBayes v3.2 was used for phylogenetic
tree construction. Four chains were subjected to Markov chain
Monte Carlo (MCMC) analysis, which was carried out for 10
million generations until the split frequency reduced below 0.01.
Every 1000 generations, 25% of the trees obtained by sampling
were considered “burn–in” and removed. The consensus tree
obtained as a result of the analysis was edited in FigTree v1.4.2.
The identication was considered reliable if the identication rate
was greater than or equal to 100% for the genus level.
MALDITOF MS analysis
Reference strains (RS1, 2, 3) and freshly cultured isolates
(S1-S14) were subjected to analysis using the MALDI–TOF
Biotyper (Bruker, Germany). It was performed according to protocol
developed by Popovic et al. [19] using the on–target extraction
method after 24 h of incubation on TSA medium. A wooden stick
was used to place an individual colony onto a 96 spot target plate.
Following that, each bacterial colony was overlaid by 1.0 μL of
70% formic acid (Kemika, Croatia) to lyse the bacterial cells and
release the proteins. After the formic acid had dried, 1.0 μL of α
Cyano-4-hydroxycinnamicacid (CHCA–matrix solution) (Bruker
Daltonics, Germany) was applied to each spot and allow to dry
at room temperature to allow for optimal protein crystallization
[26]. A microflex mass spectrometer equipped with an laser under
ion detection mode at a frequency of 60 Hz and MALDI Bruker
Biotyper 3.4 software (Bruker Daltonics, Germany) was performed
for the collection of MALDI–TOF MS and peak identication of
colonies from the bacterial isolates. For each sample examined
mass spectra in the range of 2000 to 21000 Da were obtained.
The spectra were constructed using 240 single spectra that were
acquired from each isolate at random places using 40 laser shot
stages. Each peak’s comparison to the database’s reference mass
spectra recorded in ratings from 0 to 3.00 on a logarithmic scale.
The criteria for a successful identication appeared reliable at the
species level if the number was higher than 2.00 [15, 22].
RESULTS AND DISCUSSION
Phenotypic evaluation
External examination of fteen infected rainbow trout showed
bilateral exophthalmos in the eyes, hemorrhage and dropsy in
the lower jaw. In addition, anemia in the kidney and liver, yellow
green fluid in the digestive tract, hemorrhage in the adipose tissue
and anus, and enlarged spleen tissue were detected in internal
examination of this study after necroscopy. In a study reported
in the Gil et al. [11] reported ulcerated skin lesions on the ns of
rainbow trout infected with S. warneri, exophthalmos, acidic fluid
TABLE I
Primers and PCR protocols for 16S rRNA and sodA gene amplications
Gene Primer Sequence (5’-3’) Size Conditions Protocol References
16S rRNA
63f
1387r
CAGGCCTAACACATGCAAGTC
GGGCGGWGTGTACAAGGC
1300 bp
1×PCRbuer,1.5mMMg
+2
,1pmolf/r
primers,0.5mMdNTPmix,1UTaq
34
sodA
PA237F
PA237R
GCTAATTTAGACAGTGTACCTTCTG
GCCCGTTATTTACTACTAACCA
237 bp
1×PCRbuer,1.5mMMg
+2
,1pmolf/r
primers,0.5mMdNTPmix,1UTaq
12
SW110F
SW110R
GTAACAAAATTAAATGCAGCTG
TCTTACTGCAGTTTGAATATCAGA
110 bp
1×PCRbuer,1.5mMMg
+2
,1pmolf/r
primers,0.5mMdNTPmix,1UTaq
12
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accumulation in the abdomen and anaemia in the liver. Metin
et al. [9] reported lethargy, anorexia, abrasion on anal n bases,
haemorrhage in eyes, jaw and mouth, darkening of colour, anaemia
in internal organs, petechial haemorrhage in liver, splenomegaly
and yellow exudate in intestine in the infection caused by S. warneri
in broodstock rainbow trout weighing 1500–2000 g. In this study,
unlike Gil et al. [11] and Metin et al. [9] and similar to the Diler et al.
[10], there was no change in the skin in the external examination of
infected juvenile rainbow trout, but the symptoms such as bilateral
exophthalmos in the eyes, haemorrhage in the lower jaw, dropsy,
anaemia in the internal organs, yellow exudate in the digestive
tract, haemorrhage in the adipose tissue, haemorrhage in the anus
region and enlargement in the spleen tissue were similar (FIG. 1).
Biochemical characterization
Single colonies with a diameter of 1.5-2.0 mm were observed
as a result of bacterial cultivation on TSA medium from the
anterior kidney, liver and spleen tissues of sh (FIG. 2). Gram
staining of the obtained isolates showed gram–positive and
staphylococcal morphology.
Fourteen isolates (S1 to S14) were identied as S. warneri using
the commercial BBL Crystal
TM
GP kit for phenotypic characterisation
and identication and compared with the reference strain (S.
warneri ATCC 27836) (TABLE II). Thirty antibiotics were used for
antibiotic susceptibilities of bacterial isolates evaluated by disk
diffusion test (TABLE II). As a result, the isolates were found to
be susceptible (S) to fourteen antibiotics (Florfenicol, Kanamycin,
Gentamycin, Ofloxacin, Enrofloxacin, Cefoperazone, Norfloxacin,
Vancomycin, Flumequine, Cefurocime, Sulphamethox, Doxycycline,
Apramycin and Cephalothin), resistant (R) to eight (Neomycin,
Oxacillin, Colistin, Ciprofloxacin, Oxytetracycline, Tylosin,
Spectinomycin and Clindamycin) and intermediate susceptible
(I) to Oxolinic acid, Tetracycline, Penicillin, Amoxicillin, Nalidixic
acid, Tetracycline, Nitrofurantoin and Lincomycin. In this study,
S. warneri isolated from rainbow trout were found to be sensitive
to Florfenicol, Enrofloxacin, Doxycyclin, Clindamycin, Kanamycin,
Gentamicin, Vancomycin antibiotics. The ndings were consistent
to the results of Metin et al. [9] and Diler et al. [10]. Xiao et al.
[6] reported that S. warneri species were, however, susceptible
to Streptomycin, Doxycycline, Amicacin, Florfenicol antibiotics
and the disease was effectively controlled with Doxycycline in
infected sh.
Histopathological evaluation
The histopathological examinations in this study, inflammatory
inltration around the vena centralis in liver tissue, hyperaemia
in spleen tissue, red pulp, loss of white pulp border, splenitis
and necrotic changes in renal tubule epithelium were observed
in rainbow trout infected with S. warneri (FIG. 3). Although
histopathological analyses are an important method that reveal the
damage caused by sh pathogens in tissues and can give results
in the diagnosis of some diseases, research on the pathological
disorders caused by S. warneri in fish tissues has remained
very limited. The ndings of this study were consistent with the
ndings of Diler et al. [10] and Xiao et al. [6]. Rusev et al. [4]
investigated the effects of Shewanella putrefaciens and S. warneri
together on sh tissues in sturgeon (Acipenser baerii) and hybrid
sturgeon (Huso huso × A.baerii). Pathological ndings showed
hyperaemia in the spleen, supercial petechial haemorrhages
in the liver and hyperaemia in the mesenteric blood vessels. In
another study, histopathological examinations were performed in
infections caused by S. pasteuri in sturgeon (A. gueldenstaedtii) and
lymphocyte inltration around necrotic hepatocyte cells; necrosis
in the kidney, hyperaemia in the spleen and intense haemorrhagic
areas were determined [35].
FIGURE 1. A) Exophthalmus in the eyes of juvenile sh, B) Bleeding in the lower
jaw, C) Anemic pale liver D) Haemorrhages in adipose tissue, enlarged spleen
FIGURE 2. Morphology of colonies on TSA medium thought to be Staphylococcus
warneri (S6) isolated from kidney tissue
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TABLE II
Biochemical characterization of isolates and Staphylococcus warneri ATCC 27836 by BBL Crystal GP identication system and antibiotic susceptibility
Characteristics
S. warneri
ATCC 27836
Sensitivity of Isolates
1 2 3 4 5 6 7 8 9 10 11 12 13 14
Hemolysis
α α α α α α α α α α α α α α α
Growth at
20-22
o
C + + + + + + + + + + + + + + +
25-27
o
C + + + + + + + + + + + + + + +
30-35
o
C + + + + + + + + + + + + + + +
Growth in
Arabinose - - - - - - - - - - - - - - -
Sucrose + + + + + + + + + + + + + + +
Mannose + + + + + + + + + + + + + + +
Melibiose + + + + + + + + + + + + + + +
Sorbitol - - - - - - - - - - - - - - -
Rhamnose - - - - - - - - - - - - - - -
Adonitol - - - - - - - - - - - - - - -
Mannitol + + + + + + + + + + + + + + +
Galactose + + + + + + + + + + + + + + +
Inositol - - - - - - - - - - - - - - -
p–nitrophenylgalactosidase + + + + + + + + + + + + + + +
Urea - - - - - - - - - - - - - - -
Glycine + + + + + + + + + + + + + + +
Treazolium + + + + + + + + + + + + + + +
Arginine - - - - - - - - - - - - - - -
Lysine - - - - - - - - - - - - - - -
Esculin
+ + + + + + + + + + + + + + +
p–nitrophenylαβ–Glucosidase + + + + + + + + + + + + + + +
Antibiotics
Oxolinicacid I I I I I I I I I I I I I I I
Tetracycline I I I I I I I I I I I I I I I
Penicillin I I I I I I I I I I I I I I I
Amoxicillin I I I I I I I I I I I I I I I
NalidixicAcid I I I I I I I I I I I I I I I
Tetracycline I I I I I I I I I I I I I I I
Lincomycin I I I I I I I I I I I I I I I
Nitrofurantoin I I I I I I I I I I I I I I I
Florfenicol S S S S S S S S S S S S S S S
Kanamycin S S S S S S S S S S S S S S S
Gentamycin S S S S S S S S S S S S S S S
Ooxacin S S S S S S S S S S S S S S S
Enrooxacin S S S S S S S S S S S S S S S
Cefoperazone S S S S S S S S S S S S S S S
Noroxacin S S S S S S S S S S S S S S S
Vancomycin S S S S S S S S S S S S S S S
Flumequine S S S S S S S S S S S S S S S
Cefurocime S S S S S S S S S S S S S S S
Sulphamethox S S S S S S S S S S S S S S S
Doxycycline S S S S S S S S S S S S S S S
Apramycin S S S S S S S S S S S S S S S
Cephalothin S S S S S S S S S S S S S S S
Neomycin R R R R R R R R R R R R R R R
Oxacillin R R R
R R R R R R R R R R R R
Colistin R R R R R R R R R R R R R R R
Ciprooxacin R R R R R R R R R R R R R R R
Oxytetracycline R R R NC R R R NC R R R R R R R
Tylosin R R R R R R R R R R R R R R R
Spectinomycin R R R R R R R R R R R R R R R
Clindamycin R R R R R R R R R R R R R R R
(+:positive,–:negative,α:Alphahemolysis,NC:nocalculation,S:susceptible,I:intermadiatesusceptible,R:resistant)
Identication of Staphylococcus warneri using MALDI-TOF MS / Yılmaz et al.________________________________________________________
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Genetic characterization
Fourteen phenotypically and histopathologically examined
bacterial isolates (S1–S14) were also identied by genetic method.
In the conventional PCR conducted using 16S rRNA primers on
fourteen clinical isolates, the gene amplicon of 240 bp size was
found to be positive in 43% of the cases, confirming it as S.
warneri. (TABLE III). The positive PCR results of the 16S rRNA
gene in this study were compared with previous studies, and it was
observed that amplicons of the same size were obtained. [6, 10,
11]. Moreover, the 16S rRNA gene was sequenced for six samples
(S1 to S6) randomly selected from fourteen samples and it was
observed that the 16S rRNA gene sequence published in GenBank
under accession numbers OR144346–1, 2, 3 and OR144347–1,
2, 3 had 100% homology with S. warneri (FIG. 4). Kim et al. [12]
and Iwase et al. [36] previously reported that although 16S rRNA
analyses are frequently used to identify various bacterial species,
they cannot discriminate and misidentify between closely related
species such as Staphylococcus spp. Therefore, to distinguish
between the two closely related species S. warneri and S. pasteuri
and to validate the results, a species–specic sodA gene PCR was
additionally performed, and it was found that only 50% of the
fourteen isolates were positive in the sodA–targeted PCR.
As a result of MALDITOF analyses, the reference strains and all
isolates were identied with m/z score values greater than 2.00.
FIGURE 3. A–B: Degenerative and necrotic changes in kidney tubule cells, C:
Inammatory cells in spleen, D: Inammatory inltration in the hepatic central
vena stage
TABLE III
Comparison of the results of phenotypic, genetic methods and MALDI TOF in the identication of Staphylococcus warneri
No Isolate / Strain
BBL Crystal™ GP
Identication
PCR Results 16S rRNA Sequencing Result MALDI–TOF Identication
16S rRNA
gene
Partial sodA
gene
Staphylococcus sp.
AC no
Similarity
Scores (%)
Best Match
Bacteria
Log Scores
RS 1
S. warneri
ATCC 27836
+ + +
S. warneri
MH426978-1
100
S. warneri
ATCC27836
3.00
RS 2
S. epidermidis
ATCC 35538
- - -
S. epidermidis
L37605-1
100
S. epidermidis
ATCC 35538
2.80
RS 3
S. pasteuri
ATCC 51129
- - -
S. pasteuri
KJ623586
100
S. pasteuri
ATCC 51129
3.00
S 1 CI 1 + + +
S. warneri_1
OR144346
100
S. warneri
ATCC27836
2.50
S 2 CI 2 + + +
S. warneri_2
OR144346
100
S. warneri
ATCC27836
3.00
S 3 CI 3 + + +
S. warneri_3
OR144346
100
S. warneri
CICC 23992
2.93
S 4 CI 4 + + +
S. warneri_1
OR144347
100
S. warneri
CCUG7325T
2.40
S 5 CI 5 + + +
S. warneri_2
OR144347
100
S. warneri
5353_2014
2.50
S 6 CI 6 + + +
S. warneri_3
OR144347
100
S. warneri
ATCC27836
3.00
S 7 CI 7 + - - NA NA
S. warneri
ATCC27836
2.86
S 8 CI 8 + - - NA NA
S. warneri
Mb18796_1CHB
3.00
S 9 CI 9 + - - NA NA
S. warneri
ATCC27836
3.00
S 10 CI 10 + - - NA NA
S. warneri
ATCC27836
3.00
S 11 CI 11 + - - NA NA
S. warneri
DSM20316
3.05
S 12 CI 12 + - - NA NA
S. warneri
DSM20316
2.93
S 13 CI 13 + - - NA NA
S. warneri
5353_2014
2.80
S 14 CI 14 + - - NA NA
S. warneri
CCUG7325T
2.35
(Referencestrain;RS,Sample;S,ClinicalIsolate;CI)
Identication of Staphylococcus warneri using MALDI-TOF MS / Yılmaz et al.________________________________________________________
_________________________________________________________________________________________________Revista Cientica, FCV-LUZ / Vol.XXXV
7 of 9
The isolates between S1 and S14 were conrmed as S. warneri
with mass scores ranging from 2.35 to 3.05. TABLE III summarizes
the MALDITOF MS analysis results obtained for fourteen isolates
(S1–14) and associated bacterial identication match for the
Staphylococcus reference strains.
Besides, FIG. 5 shows the peptide mass ngerprint spectra
obtained for Staphylococcus reference strains (A) and isolates
called S. warneri (S6) (B). For S. warneri, 2803.295, 4307.366,
5907.798, 8094.116, 9630.956 and 10209.725 Da represent
peptide mass ngerprint spectra containing a total of six very
consistent mass peaks. The comparison of these characteristic
peak results obtained by the MALDITOF MS method with
reference spectra in the proteomic mass database shows that
the bacteria were identied and distinguished as S. warneri with
100% accuracy. Numerous studies on the accurate identication
of the majority of sh pathogenic bacteria using either MALDI–TOF
MS alone or together with other identication techniques have
been found in the literature [20]. In some studies, comparative
16S rRNA gene sequencing or PCR analysis has been conducted
to show the similarities and phylogenetic relationships among
Staphylococcus species [1, 2, 5, 6, 17]. Yet, no study has been
found that compared MALDITOF MS analysis with the traditional
techniques for identifying S. warneri in rainbow trout.
CONCLUSION
The results presented herein compare conventional and
proteomic MALDITOF MS analyses to conrm the identication
of isolates obtained from diseased rainbow trout in Türkiye as S.
warneri. This study demonstrated that the MALDI–TOF method
is a rapid (2–3 min), cost–effective (~2$ USD) and accurate
FIGURE 4. Phylogenetic tree based on 16S rRNA gene of six Staphylococcus warneri
isolates (S1 to S6) that published in GenBank and phylogenetically close members
of Staphylococcus
FIGURE 5. MALDI–TOF mass peptide proles of reference strains (A) and Staphylococcus warneri (Sample 6) (B) in the range of 2384.646 to 11636.390 Da
Identication of Staphylococcus warneri using MALDI-TOF MS / Yılmaz et al.________________________________________________________
8 of 9 9 of 9
technique that could be used as an alternative to other diagnostic
methods used to differentiate genetically similar bacterial species
such as S. warneri and S. pasteuri. Further research into how
MALDITOF MS can be applied to aquaculture is warranted,
such as identication of slow–growing sh bacteria and the direct
identication of pathogens from tissues without culturing. In order
to make MALDITOF MS more accessible and user–friendly for
aquaculture practitioners, efforts should be made to improve
sample preparation methods and speed up data analysis. This
would strongly contribute to future developments in disease
diagnosis and the promotion of sustainable aquaculture. However,
for precise categorization and identication of sh diseases, more
proteomic data need to be submitted to international databases.
The widespread application of this technique in the field of
aquaculture diseases will contribute to early disease diagnosis,
rapid and effective treatment, and will also promote healthier sh
populations and sustainability in aquaculture.
ACKNOWLEDGMENTS
The authors would like to thank Akdeniz University, Central
Research Laboratory for the use of the MALDI–TOF instrument.
Conct of interest
The author declare no competing interests.
Animal Ethics
Ethical approval was not required.
Funding
There is no funding.
Field Study Permissions
Field study permissions was not required.
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