http://orcid.org/0000-0002-8897-0014
Figures
Abstract
Vibrio (Listonella) anguillarum is a pathogenic bacterium causing septicaemia in a wide range of marine organisms and inducing severe mortalities, thus it is crucial to conduct its accurate and rapid identification. The aim of this study was to assess MALDI-TOF MS as a method of choice for identification of clinical V. anguillarum isolates from affected marine fish. Since the method accuracy might be influenced by the type of the medium used, as well as by the incubation conditions, we tested V. anguillarum isolates grown on standard media with and without the addition of NaCl, cultured at three incubation temperatures, and at three incubation periods. The best scores were retrieved for V. anguillarum strains grown on NaCl-supplemented tryptone soy agar (TSA) at 22°C and incubated for 48h (100% identification to species level; overall score 2.232), followed by incubation at 37°C and 48h (100% to species level; score 2.192). The strains grown on non-supplemented TSA gave the best readings when incubated at 22°C for 72h (100% identification to species level; overall score 2.182), followed by incubation at 15°C for 72h (100% to species level; score 2.160). Unreliable identifications and no-identifications were growing with the incubation duration at 37°C, on both media, amounting to 88.89% for 7d incubation on supplemented TSA, and 92.60% for 7d incubation on non-supplemented TSA. The age of the cultured strains and use of media significantly impacted the mass spectra, demonstrating that for reliable identification, MALDI-TOF MS protein fingerprinting with the on-target extraction should be performed on strains grown on a NaCl-supplemented medium at temperatures between 15 and 22°C, incubated for 48–72 hours.
Citation: Kazazić SP, Topić Popović N, Strunjak-Perović I, Babić S, Florio D, Fioravanti M, et al. (2019) Matrix-assisted laser desorption/ionization time of flight mass spectrometry identification of Vibrio (Listonella) anguillarum isolated from sea bass and sea bream. PLoS ONE 14(11): e0225343. https://doi.org/10.1371/journal.pone.0225343
Editor: Joseph Banoub, Fisheries and Oceans Canada, CANADA
Received: July 15, 2019; Accepted: November 1, 2019; Published: November 18, 2019
Copyright: © 2019 Kazazić et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: All relevant data are within the manuscript and its Supporting Information files.
Funding: This study has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 727610 (PerformFISH). This output reflects only the authors’ view and the European Union cannot be held responsible for any use that may be made of the information contained therein. The study was also supported by the Scientific Centre of Excellence for Marine Bioprospecting – BioProCro, a project co-financed by the Croatian Government and the European Union through the European Regional Development Fund - the Competitiveness and Cohesion Operational Programme (KK.01.1.1.01). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Introduction
Vibrio (Listonella) anguillarum is a pathogenic bacterium causing septicaemia (vibriosis) in a wide range of marine organisms, namely fish, crustaceans and bivalves. It induces aquaculture mortalities up to 100%, as it aggressively penetrates a host using a number of genetic virulence factors, and leads to lethal outcomes as soon as three days following initial exposure [1]. V. anguillarum isolates vary by cellular sugar compositions [2], and consist of at least 23 O-serogroups [3], of which serotypes O1-O5 are reported as virulent [1]. Its recovery by use of culture-based methods is possible from various media, such as tryptone soy agar (TSA), nutrient agar, brain heart infusion agar, thiosulphate citrate bile salts sucrose agar, and particularly VAM medium, but neither is selectively specific for V. anguillarum exclusively [4–5].
A scheme comprising a combination of diagnostic and clinical methods was introduced by Topić Popović and co-workers [6] for the use of API 20E (Biomerieux, Marcy-l’Etoile, France) protocol, since biochemical tests, although time consuming, were proven rather reliable for its identification [7]. Tools which are not based on metabolic fingerprinting rely on the antigen content of the V. anguillarum cells, PCR and real-time PCR protocols, dot-blot DNA hybridization (raw DNA and PCR-amplified DNA) by oligonucleotide probes, immunoassays based on ELISA tests, and isothermal methods such as loop-mediated isothermal amplification [8–9]. However, except from water samples, identification of uncultured fish tissue bacteria is a challenge [8]. Matrix-assisted laser desorption/ionization time of flight mass spectrometry (MALDI-TOF MS) was developed to detect ribosomal proteins of cultured bacteria within minutes, with low costs, and high levels of sensitivity, specificity, and throughput. Most of the above mentioned tools and techniques are time-consuming and laborious, requiring highly trained operators, while MALDI-TOF MS, depending on the database, yields reliable identification results in several straight-forward steps [10–11]. The Bruker’s database version DB-5989 currently includes 7 entries of V. anguillarum (02 EGS, 03 EGS, DSM 11323 DSM, DSM 21597T DSM, LMG 4437T HAM, serotype 02 EGS, serotype 03 EGS).
The aim of this study was to assess MALDI-TOF MS as a method for accurate identification of clinical V. anguillarum isolates from European sea bass (Dicentrarchus labrax) and gilthead sea bream (Sparus aurata), previously confirmed by latex agglutination and API 20E system. Since the method accuracy might be influenced by the type of the medium used, as well as by the incubation conditions, we tested V. anguillarum isolates grown on standard media with and without the addition of NaCl, cultured at three incubation temperatures, and at three incubation periods.
Material and methods
All applicable international, national and/or institutional guidelines for the care and use of animals were followed and the procedures performed in the study were in accordance with the ethical standards of the institution. The isolation of bacterial strains was performed from brain and kidney of dissected fish during diagnostic activities carried out on fish found dead during mortality outbreaks in farms and sent to the Fish Pathology Laboratory of the Department of Veterinary Medical Sciences of Bologna University to determine the cause of death (Nota Ministero della Salute 0017710-P-26/07/2017—Decreto Legislativo n. 26, 4 marzo 2014).
Bacterial strains
The V. anguillarum isolates (confirmed by latex agglutination tests with Mono-Va kit (Bionor, Skien, Norway) and API 20E system (Biomerieux), code 3047524–3047526), were retrieved from the affected marine fish. Fish were European sea bass (Dicentrarchus labrax) and gilthead sea bream (Sparus aurata) farmed in sea cages and land-based tanks in Italy and Croatia. Fish size varied from fry to adults of 550 g of weight. Strains were frozen at -86°C.
A total of 27 V. anguillarum strains were used, and cultured on tryptone soy agar (TSA) (Oxoid Ltd, England UK). The medium formula contained pancreatic digest of casein (15g/L), enzymatic digest of soya bean (5 g/L), agar (15g/L), and sodium chloride (5g/L). The non-supplemented medium thus inherently contained 0.5% NaCl. Strains were also cultured on TSA medium supplemented with 1.5% NaCl.
Matrix-assisted laser desorption/ionization time of flight mass spectrometry identification
Isolates (three biological replicates) were applied on a 96-spot polished stainless steel target plate by the on-target extraction method after being cultured at 15°C, 22°C, and 37°C. The first time-point for identification was 48h, relating to the occurrence of the first colonies on plates containing both growth media. Colonies were subsequently applied on a target plate at the second time-point of 72h and at the final time-point of 7d of growth. They were all analysed by the on-target extraction method. Procedures were conducted in duplicates up to quintuplicates, with a total of 3243 measurements.
The on-target extraction was initiated with a smear of a colony loopful from each strain on a designated spot on the target plate (Bruker Daltonics, Bremen, Germany). Subsequently, 1 μL of 70% formic acid (Kemika, Croatia) was added to each bacterial colony. After drying at room temperature, 1 μL of MALDI matrix was added to each spot, allowed to air dry at 22°C, after which 2 μL of MALDI matrix was added to each spot with a bacterial colony smear (saturated solution of α-cyano-4-hydroxycinnamic acid in 50% acetonitrile and 2.5% trifluoroacetic acid (Bruker Daltonics)).
The measurements were carried out using a bench-top Bruker Microflex LT mass spectrometer equipped with the Bruker Biotyper 3.0 software (Bruker Daltonics), according to the manufacturer’s instructions. For validation of runs, the system was calibrated with a bacterial test standard Escherichia coli DH5 alpha spiked with two additional pure proteins (RNAse A and myoglobin) to cover an overall mass range from 4 to 17 kDa. Briefly, ions were captured in the positive linear mode (mass range 2–20 kDa), and positive ions were extracted at accelerated voltage of 20 kV. Spectra with the sum of the respective ions were obtained by 240 laser shots in different regions of every target plate spot.
MALDI-TOF MS data interpretation
Every mass spectrum was compared to the reference mass spectra in the database. The Biotyper software calculated obtained algorithms and data were recorded as logarithmic scores between 0 and 3.0. As per the manufacturer, a log score of <1.700 was considered unreliable, a score of 1.700 to 1.999 indicated probable identification to the genus level, a score of 2.000 to 2.299 indicated probable species identification, while a log score of 2.300 to 3.000 indicated highly probable species level identification. Specimens failing to yield log scores of 2.000 and above were manually analysed by using targeted laser shots instead of randomly generated by the software. The database used included reference entries with 7 V. anguillarum species, and presence or absence of peaks of every fingerprinted isolate were matched to these entries.
Analysis of mass spectra
Spectra were inspected using the MALDI Biotyper Preprocessing Standard Method and the MALDI Biotyper MSP Identification Standard Method adjusted by the manufacturer (Bruker Daltonics, Germany). Dendrogram was created by MALDI Biotyper 3.0 with following settings: distance measure was set at correlation and linkage at average. Distance values were relative and normalized to a maximum value of 1000. Dendrogram was calculated on the basis of cluster analysis of mass spectra of V. anguillarum isolates.
Statistical analysis
Logarithmic scores > = 2.000 were categorised as positive and < 2.000 as negative species identifications based on a requirement of attaining probable species identifications to reach a clinical diagnosis for potential subsequent therapeutic interventions. Identification as a dependent variable was evaluated using generalized linear logistic regression models for association with media, temperature, and time of measurement as independent variables. Due to repeated measurements on strains, mixed effects logistic regression was also used with strains as random effects and were compared with fixed effects only regression models. Models were built using a forward step procedure and compared using ANOVA tables. Final model was evaluated using K-fold cross validation with a training set of 75% and a testing set of the remaining 25% of the data using 1,000 replicates. Receiver operating characteristics curves were also used to evaluate performance measures of the model. All statistical tests used the α error set at 0.05 (5% false positive rate). All exploratory and statistical analyses were performed using R software v.3.6.1 (R Core Team (2019). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/).
Results
Overall, MALDI-TOF MS identified 15.22% of isolates accurately only to the genus level and 73.85% to the species level, when observing results irrespective of the NaCl supplementation of the medium and culture conditions. However, when comparing species identification for different culture conditions, the results varied significantly by media type (p<0.001), incubating temperature (p<0.001), and time of measurement (p<0.001).
Identification of strains grown on NaCl-supplemented TSA outperformed identification on non-supplemented TSA (Tables 1 and 2). The best scores were retrieved for V. anguillarum strains grown on NaCl-supplemented TSA at 22°C and incubated for 48h, followed by incubation at 37°C at 48h. The samples grown on non-supplemented TSA gave the best readings when incubated at 22°C for 72h, followed by incubation at 15°C for 72h. The results obtained for isolates grown at 37°C for 7 days on both media have to be interpreted with caution since they included a significant percent of unreliable scores.
The incubation temperature affected the MALDI-TOF MS species identification results significantly (p<0.001), as the 37°C incubation yielded the most unreliable results. Unreliable identifications and no-identifications were growing with the incubation duration at 37°C, on both media, amounting to 88.89% for 7d incubation on supplemented TSA, and 92.60% for 7d incubation on non-supplemented TSA.
The correct identification of V. anguillarum strains was diminishing with the prolongation of the incubation time, on both media and all temperatures. The 7d incubations enabled correct identifications of less than 30% of overall specimens in various culture conditions, while only for supplemented TSA at 15°C it amounted to 88.89% (Table 3). The logistic regression modelling showed no significant association of strains (p = 0.4) and the final fixed effects model included all variables of culture conditions as independent main effects since no interactions of variables showed a significant improvement of the model. According to K-fold cross validation, the final model had an average accuracy of 93.3% and by the receiver operating characteristics the area under the curve of 0.964. The predicted probabilities for a positive species identification of the final model for all combinations of culture conditions are presented in Table 3.
The NaCl-supplemented TSA enabled the correct identification of V. anguillarum against the Biotyper database as highly probable species level identification in 2.1% of cases, when observing all culture conditions with that medium. When observing the 22°C incubation at 48h, it amounted to 11.11%.
There was a difference between the NaCl supplementation of the culture media and successful acquisition of mass spectra (Figs 1 and 2). The mass spectra of bacteria grown on the supplemented media had the greater number of signals and the higher signal-to-noise ratio. Most of the ions were appearing reproducibly across all the conditions tested, i.e. media, temperature, and incubation duration. The reproducible appearance of these ions at the specific m/z ratios were used for comparison of identification results, and the mass spectral quality sufficient for automatic acquisition was on the highest level for specimens grown at 15°C for 72h.
Shown is the representative spectrum of V. anguillarum. The gel view was obtained using MALDI Biotyper 3.0 by displaying a pseudo-gel representation of spectra. Peak intensities were gray-scaled with abscissa values as mass to charge ratios (m/z) and spectral numbers as the ordinates.Abbreviations: T15, T22, T37 = temperatures of incubation: 15°C, 22°C, 37°C; S = NaCl-supplemented TSA medium; A-F = strains identified at their first growth on respective medium: A = incubated at 15°C for 48h, B = at 22°C for 48, C = at 37°C for 48h, D = at 15°C for 48h, E = at 22°C for 48h, and F = at 37°C for 48h; a = representative mass spectra, b = mirror view of the best match against the Bruker database.
Abbreviations: T1 = 15°C, T2 = 22°C, T2 = 37°C; S = NaCl-supplemented TSA medium.
Discussion
Routine, time-consuming methods for identification of V. anguillarum could have limited reliability and accuracy. MALDI-TOF MS identification, although rapid and straightforward, needs to be enhanced regarding the choice of the medium type, incubation time and preferred incubation temperature for suspected V. anguillarum outbreaks, which was the aim of this work, and has not yet been described.
Most of the affected vibriotic fish die without clinical signs. The external clinical signs, when manifested, are not discernible from other fish haemorrhagic septicaemias in their first phases [9], so it is most likely that a general purpose medium for bacterial cultivation would be used, such as tryptone soy agar with or without the addition of sodium chloride. The preferred supplementation of NaCl for V. anguillarum varies between 0.5–3% (w/v) [5]. The strain growth can be influenced by the salinity of the medium, but no significant differences were found between 0.5 and 1.5% NaCl, while 3% reduced the growth rate [12]. In our work, MALDI-TOF MS identification score was significantly higher in the 1.5% NaCl-supplemented medium than in the non-supplemented one.
Temperature, however, serves as a more detrimental factor for V. anguillarum growth than salinity of the media [1], which we also noticed in our strains. A number of no-growths was recorded on both media when cultivated at 37°C, although the percentage of strains not growing at that temperature was higher for non-supplemented medium. It is recommended that a suspected V. anguillarum be incubated at 15–25°C up to 7 days [5]. However, as its growth rate is known to increase with temperature, Hickey and Lee [1] state that it grows best between 30 and 34°C, with a maximum growth temperature of 38.5°C. Our strains did not all grow at 37°C in all culture conditions, particularly on the non-enriched medium at the 72h time-point (4.94%). Indeed, low osmolarity, through an osmotic shock, induced morphological modifications in V. anguillarum cultured at 37°C in the work of Piccininno et al. [13]. MALDI-TOF MS had a lower identification score on our isolates grown at higher temperatures, particularly on those incubated for 7 days. Other two incubation temperatures, when only cultures of 48h and 72h are considered, yielded high identification scores, especially for the NaCl-enriched TSA.
Thus, the age of the cultured strains and use of media did impact the mass spectra. The quality of the spectra was correctly expected to reduce with the age of the strains, as cells in the log phase of growth would be ideal for identification since MALDI-TOF MS recognizes mostly 16S ribosomal proteins [14]. Also, we expected that by virtue of dominance of ribosomal proteins’ peaks with house-keeping functions they would stay unchanged under different growth conditions [15], albeit different media change metabolic needs of cultivated bacteria [16]. The vast majority of isolates were correctly identified under all culture conditions (15.22% to the genus level only and 73.85% to the species level), but only a fraction had a score value ≥ 2.300, which is a threshold for highly probable species level identification. However, for most (aquatic) bacteria, a less restrictive cut-off score (≥ 2.000) is tolerated for a secure identification [17]. Such a score was retrieved for V. anguillarum strains grown on NaCl-supplemented TSA at 22°C and incubated for 48h (100% identification to the species level), as the highest overall score of this work (2.232).
All seven discriminating peaks of V. anguillarum were found in all isolates identified, confirming their uniformness for rapid identification. Identification quality is correlated with the quality of the acquired spectrum, and its inclusion in the database. The peaks were measured out of the spectral replicates in reference signatures, and the frequency of appearance or reproducibility gave significance to each peak obtained [16]. The strain differentiation is based on a limited number of peaks, therefore the quality of mass spectra could influence strain differentiation [18].
Fish affected by vibriosis caused by V. anguillarum show a number of, often non-specific, external clinical signs, including lethargy, red spots on ventral and lateral sides of body, and ulcerative lesions. In affected fish V. anguillarum can also be found in high concentrations in the blood and abdominal fluid, which accumulates as a clear, viscous liquid [9]. Since MALDI-TOF MS can identify pathogens from blood and other bodily fluids rapidly and accurately, in order to save culturing time, procedures were developed for identification of bacteria directly from human clinical samples [19–21]. Such an approach of using MALDI-TOF MS on fish body fluids would greatly benefit accurate diagnosis and treatment, which could influence mortality of fish affected by vibriosis and shorten the turnaround time of V. anguillarum identification. Although MALDI-TOF MS is a highly reproducible method for rapid discrimination of Vibrio species, its database should be extended with more of the aquatic species, and V. anguillarum in particular. Until the further development of the direct method, suspected marine V. anguillarum should be grown on a NaCl-supplemented medium at temperatures between 15 and 22°C. MALDI-TOF MS protein fingerprinting with the on-target extraction should be performed upon the occurrence of first colonies up to 72h. Due to its high throughput and differentiation capacity of closely related Vibrio strains, MALDI-TOF MS should become an integrated tool of microbiological laboratories dealing with aquatic pathogens.
References
- 1. Hickey ME, Lee JL (2017) A comprehensive review of Vibrio (Listonella) anguillarum: ecology, pathology and prevention. Rev Aquac 0: 1–26.
- 2. Yanagihara Y, Shimizu T, Takagi A, Mifuchi I (1984) Cellular sugar pattern of Vibrio anguillarum. Microbiol Immunol 28: 499–502. pmid:6748970
- 3. Pedersen K, Grisez L, van Houdt R, Tiainen T, Ollevier F, Larsen JL (1999) Extended serotyping scheme for Vibrio anguillarum with the definition and characterization of seven provisional O-serogroups. Curr Microbiol 38: 183–189. pmid:9922470
- 4. Alsina M, Martínez-Picado J, Jofre J, Blanch AR (1994) A medium for presumptive identification of Vibrio anguillarum. Appl Environ Microbiol 60: 1681–1683. pmid:8017947
- 5.
Austin B, Austin D (2007) Bacterial fish pathogens: Disease in farmed and wild fish (4th ed.) Laird L. (ed), Springer-Praxis series in aquaculture and fisheries. Praxis Publishing Ltd, Chichester UK.
- 6. Topić Popović N, Barišić J, Čož-Rakovac R, Strunjak-Perović I (2014) A tool for rapid identification of Vibrio anguillarum: Managing a field outbreak. Fresen Environ Bull 23 (1): 151–153.
- 7. Topić Popović N, Čož-Rakovac R, Strunjak-Perović I (2007) Commercial phenotypic tests (API 20E) in diagnosis of fish bacteria: a review. Vet Med (Praha) 52 (2): 49–53.
- 8. Martínez-Picado J, Alsina M, Blanch AR, Cerdà M, Jofre J (1996) Species-specific detection of Vibrio anguillarum in marine aquaculture environments by selective culture and DNA hybridization. Appl Environ Microbiol 62 (2): 443–449. pmid:16535233
- 9. Frans I, Michiels CW, Bossier P, Willems KA, Lievens B, Rediers H (2011) Vibrio anguillarum as a fish pathogen: virulence factors, diagnosis and prevention. J Fish Dis 34: 643–661. pmid:21838709
- 10. Lay JO Jr (2001) MALDI-TOF mass spectrometry of bacteria. Mass Spectrom Rev 20 (4): 172–194. pmid:11835305
- 11. Topić Popović N, Kazazić PS, Strunjak-Perović I, Čož-Rakovac R (2017) Differentiation of environmental aquatic bacterial isolates by MALDI-TOF MS. Environ Res 152: 7–16. pmid:27741451
- 12. Crisafi F, Denaro R, Yakimov M, Felice MR, Giuliano L, Genovese L (2015) NaCl concentration in the medium modulates the secretion of active EmpA protease in Vibrio anguillarum at post-transcriptional level. J Appl Microbiol 119: 1494–1501. pmid:26394191
- 13. Piccininno G, Ciuchini F, Adone R, Ceschia G, Giorgetti G (1996) Morphological, physico-chemical and biological variations in Vibrio anguillarum cultured at low osmolarity. New Microbiol 19 (4): 321–326. pmid:8914133
- 14. Veloo ACM, Elgersma PE, Friedrich AW, Nagy E, van Winkelhoff AJ (2014) The influence of incubation time, sample preparation and exposure to oxygen on the quality of the MALDI-TOF MS spectrum of anaerobic bacteria. Clin Microbiol Infect 20: 1091–1097.
- 15. Emami K, Askari V, Ullrich M, Mohinudeen K, Anil C, Khandeparker L et al. (2012) Characterization of bacteria in ballast water using MALDI-TOF Mass Spectrometry. PLoS ONE. 7 (6): e38515 pmid:22685576
- 16. Valentine N, Wunschel S, Wunschel D, Petersen C, Wahl K (2005) Effect of culture conditions on microorganism identification by matrix-assisted laser desorption ionization-time of flight mass spectrometry. Appl Environ Microbiol 71 (1) 58–64. pmid:15640170
- 17. Pérez-Sancho M, Vela Ana I, Awad M, Kostrzewa M, Dominguez L, Fernández-Garayzábal JF (2016) Differentiation of Photobacterium damselae subspecies using Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry (MALDI-TOF MS) in fish isolates. Aquaculture 464: 159–164.
- 18. Balážova T, Makovcová J, Šedo O, Slaný M, Faldyna M, Zdráhal Z (2014) The influence of culture conditions on the identification of Mycobacterium species by MALDI-TOF MS profiling. FEMS Microbiol Lett 353 (1) 77–84. pmid:24571790
- 19. Zhang Y, Liu Y, Ma Q, Song Y, Zhang Q, Wang X et al. (2014) Identification of Lactobacillus from the saliva of adult patients with caries using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. PloS ONE 9 (8): e106185. pmid:25166027
- 20. Šalplachta J, Horká M, Ružička F, Šlais K (2018) Identification of bacterial uropathogens by preparative isolelectric focusing and matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. J Chromatogr A 1532: 232–237. pmid:29217114
- 21. Azrad M, Keness Y, Nitzan O, Pastukh N, Tkhawkho L, Freidus V et al. (2019) Cheap and rapid in-house method for direct identification of positive blood cultures by MALDI-TOF MS technology. BMC Infect Dis. pmid:30658585