Leptospira spp. strain identification by MALDI TOF MS is an equivalent tool to 16S rRNA gene sequencing and multi locus sequence typing (MLST)

ABSTRACT: BACKGROUND: In this study mass spectrometry was used for evaluating extracted leptospiral protein samples and results were compared with molecular typing methods. For this, an extraction protocol for Leptospira spp. was independently established in two separate laboratories. Reference spectra were created with 28 leptospiral strains, including pathogenic, non-pathogenic and intermediate strains. This set of spectra was then evaluated on the basis of measurements with well-defined, cultured leptospiral strains and with 16 field isolates of veterinary or human origin. To verify discriminating peaks for the applied pathogenic strains, statistical analysis of the protein spectra was performed using the software tool ClinProTools. In addition, a dendrogram of the reference spectra was compared with phylogenetic trees of the 16S rRNA gene sequences and multi locus sequence typing (MLST) analysis. RESULTS: Defined and reproducible protein spectra using MALDI-TOF MS were obtained for all leptospiral strains. Evaluation of the newly-built reference spectra database allowed reproducible identification at the species level for the defined leptospiral strains and the field isolates. Statistical analysis of three pathogenic genomospecies revealed peak differences at the species level and for certain serovars analyzed in this study. Specific peak patterns were reproducibly detected for the serovars Tarassovi, Saxkoebing, Pomona, Copenhageni, Australis, Icterohaemorrhagiae and Grippotyphosa. Analysis of the dendrograms of the MLST data, the 16S rRNA sequencing, and the MALDI-TOF MS reference spectra showed comparable clustering. CONCLUSIONS: MALDI-TOF MS analysis is a fast and reliable method for species identification, although Leptospira organisms need to be produced in a time-consuming culture process. All leptospiral strains were identified, at least at the species level, using our described extraction protocol. Statistical analysis of the three genomospecies L. borgpetersenii, L. interrogans and L. kirschneri revealed distinctive, reproducible differentiating peaks for seven leptospiral strains which represent seven serovars. Results obtained by MALDI-TOF MS were confirmed by MLST and 16S rRNA gene sequencing.     

MALDI-TOF MS与16S rDNA方法对 弧菌科微生物的鉴定与系统分类学分析

目的比较基质辅助激光解吸电离飞行时间质谱(MALDI-TOF MS)与16S rDNA方法对弧菌科微生物的鉴定及系统分类学分析能力。方法对19株弧菌科微生物,采用MALDI-TOF MS进行蛋白质图谱采集,通过对特征峰的分析,实现对微生物的鉴定和系统分类学分析;同时对19株微生物进行16S rDNA测序,用邻接法对16S rDNA序列进行鉴定和系统分类学分析,比较两种方法在弧菌科微生物鉴定和系统分类学分析中的异同。结果两种方法对19株弧菌科微生物的种属鉴定结果一致。系统分类学分析中,多株同种属的弧菌的两种方法分析结果一致,但对拟态弧菌和霍乱弧菌在树状图中的位置和亲缘关系,两种方法差异较大。结论 MALDI-TOF MS与16S rDNA均能够快速准确地鉴定弧菌科微生物,但利用MALDI-TOF MS进行系统分类学分析还有待数据库的扩大及算法的优化。     

MALDI-TOF mass spectrometry is a fast and reliable platform for identification and ecological studies of species from family Rhizobiaceae

Family Rhizobiaceae includes fast growing bacteria currently arranged into three genera, Rhizobium, Ensifer and Shinella, that contain pathogenic, symbiotic and saprophytic species. The identification of these species is not possible on the basis of physiological or biochemical traits and should be based on sequencing of several genes. Therefore alternative methods are necessary for rapid and reliable identification of members from family Rhizobiaceae. In this work we evaluated the suitability of Matrix-Assisted Laser Desorption Ionization-Time-of-Flight Mass Spectrometry (MALDI-TOF MS) for this purpose. Firstly, we evaluated the capability of this methodology to differentiate among species of family Rhizobiaceae including those closely related and then we extended the database of MALDI Biotyper 2.0 including the type strains of 56 species from genera Rhizobium, Ensifer and Shinella. Secondly, we evaluated the identification potential of this methodology by using several strains isolated from different sources previously identified on the basis of their rrs, recA and atpD gene sequences. The 100% of these strains were correctly identified showing that MALDI-TOF MS is an excellent tool for identification of fast growing rhizobia applicable to large populations of isolates in ecological and taxonomic studies.     

Highly efficient classification and identification of human pathogenic bacteria by MALDI-TOF MS

Accurate and rapid identification of pathogenic microorganisms is of critical importance in disease treatment and public health. Conventional work flows are time-consuming, and procedures are multifaceted. MS can be an alternative but is limited by low efficiency for amino acid sequencing as well as low reproducibility for spectrum fingerprinting. We systematically analyzed the feasibility of applying MS for rapid and accurate bacterial identification. Directly applying bacterial colonies without further protein extraction to MALDI-TOF MS analysis revealed rich peak contents and high reproducibility. The MS spectra derived from 57 isolates comprising six human pathogenic bacterial species were analyzed using both unsupervised hierarchical clustering and supervised model construction via the Genetic Algorithm. Hierarchical clustering analysis categorized the spectra into six groups precisely corresponding to the six bacterial species. Precise classification was also maintained in an independently prepared set of bacteria even when the numbers of m/z values were reduced to six. In parallel, classification models were constructed via Genetic Algorithm analysis. A model containing 18 m/z values accurately classified independently prepared bacteria and identified those species originally not used for model construction. Moreover bacteria fewer than 10(4) cells and different species in bacterial mixtures were identified using the classification model approach. In conclusion, the application of MALDI-TOF MS in combination with a suitable model construction provides a highly accurate method for bacterial classification and identification. The approach can identify bacteria with low abundance even in mixed flora, suggesting that a rapid and accurate bacterial identification using MS techniques even before culture can be attained in the near future.     

MALDI-TOF MS of <Emphasis Type="Italic">Trichoderma</Emphasis>: a model system for the identification of microfungi

This investigation aimed to assess whether MALDI-TOF MS analysis of the proteome could be applied to the study of Trichoderma, a fungal genus selected because it includes many species and is phylogenetically well defined. We also investigated whether MALDI-TOF MS analysis of peptide mass fingerprints would reveal apomorphies that could be useful in diagnosing species in this genus. One hundred and twenty nine morphologically and genetically well-characterized strains of Hypocrea and Trichoderma, belonging to 25 species in 8 phylogenetic clades, were analyzed by MALDI-TOF MS mass spectrometry. The resulting peak lists of individual samples were submitted to single-linkage cluster analysis to produce a taxonomic tree and were compared to ITS and tef1 sequences from GenBank. SuperSpectra™ for the 13 most relevant species of Trichoderma were computed. The results confirmed roughly previously defined clades and sections. With the exceptions of T. saturnisporum (Longibrachiatum Clade) and T. harzianum (Harzianum Clade), strains of individual species clustered very closely. T. polysporum clustered distantly from all other groups. The MALDI-TOF MS analysis accurately reflected the phylogenetic classification reported in recent publications, and, in most cases, strains identified by DNA sequence analysis clustered together by MALDI-TOF MS. The resolution of MALDI-TOF MS, as performed here, was roughly equivalent to ITS rDNA. The MALDI-TOF MS technique analyzes peptides and represents a rough equivalent to sequencing, making this method a useful adjunct for determination of species limits. It also allows simple, reliable, and quick species identification, thus representing a valid alternative to gene sequencing for species diagnosis of Trichoderma and other fungal taxa.     

Discrimination of intact mycobacteria at the strain level: a combined MALDI-TOF MS and biostatistical analysis

New methodologies for surveillance and identification of Mycobacterium tuberculosis are required to stem the spread of disease worldwide. In addition, the ability to discriminate mycobacteria at the strain level may be important to contact or source case investigations. To this end, we are developing MALDI-TOF MS methods for the identification of M. tuberculosis in culture. In this report, we describe the application of MALDI-TOF MS, as well as statistical analysis including linear discriminant and random forest analysis, to 16 medically relevant strains from four species of mycobacteria, M. tuberculosis, M. avium, M. intracellulare, and M. kansasii. Although species discrimination can be accomplished on the basis of unique m/z values observed in the MS fingerprint spectrum, discrimination at the strain level is predicted on the relative abundance of shared m/z values among strains within a species. For the 16 mycobacterial strains investigated in the present study, it is possible to unambiguously identify strains within a species on the basis of MALDI-TOF MS data. The error rate for classification of individual strains using linear discriminant analysis was 0.053 using 37 m/z variables, whereas the error rate for classification of individual strains using random forest analysis was 0.023 using only 18 m/z variables. In addition, using random forest analysis of MALDI-TOF MS data, it was possible to correctly classify bacterial strains as either M. tuberculosis or non-tuberculous with 100% accuracy.     

Applications of MALDI-TOF mass spectrometry in clinical diagnostic microbiology

Until recently, microbial identification in clinical diagnostic laboratories has mainly relied on conventional phenotypic and gene sequencing identification techniques. The development of matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS) devices has revolutionized the routine identification of microorganisms in clinical microbiology laboratories by introducing an easy, rapid, high throughput, low-cost, and efficient identification technique. This technology has been adapted to the constraint of clinical diagnostic laboratories and has the potential to replace and/or complement conventional identification techniques for both bacterial and fungal strains. Using standardized procedures, the resolution of MALDI-TOF MS allows accurate identification at the species level of most Gram-positive and Gram-negative bacterial strains with the exception of a few difficult strains that require more attention and further development of the method. Similarly, the routine identification by MALDI-TOF MS of yeast isolates is reliable and much quicker than conventional techniques. Recent studies have shown that MALDI-TOF MS has also the potential to accurately identify filamentous fungi and dermatophytes, providing that specific standardized procedures are established for these microorganisms. Moreover, MALDI-TOF MS has been used successfully for microbial typing and identification at the subspecies level, demonstrating that this technology is a potential efficient tool for epidemiological studies and for taxonomical classification.     

Validation of MALDI-TOF MS for rapid classification and identification of lactic acid bacteria, with a focus on isolates from traditional fermented foods in Northern Vietnam

Aims: To evaluate the potential use of MALDI-TOF MS for fast and reliable classification and identification of lactic acid bacteria (LAB) from traditional fermented foods. Methods and Results: A total of 119 strains of LAB from fermented meat (nem chua) were analysed with both (GTG)(5) -PCR fingerprinting and MALDI-TOF MS. Cluster analysis of the profiles revealed five species represented by a single isolate both in (GTG)(5) -PCR and in MALDI-TOF MS; five species grouped alike for (GTG)(5) -PCR and for MALDI-TOF MS; however, differences in minimal similarity between the delineated (GTG)(5) -PCR and MALDI-TOF MS clusters could be observed; three species showed more heterogeneity in their MALDI-TOF MS profiles compared to their (GTG)(5) -PCR profiles; two species, each represented by a single MALDI-TOF cluster, were subdivided in the corresponding (GTG)(5) -PCR dendrogram. As proof of the identification potential of MALDI-TOF MS, LAB diversity from one fermented mustard sample was analysed using MALDI- TOF MS. PheS gene sequencing was used for validation. Conclusions: MALDI-TOF MS is a powerful, fast, reliable and cost-effective technique for the identification of LAB associated with the production of fermented foods. Significance and Impact of the Study: Food LAB can be identified using MALDI-TOF MS, and its application could possibly be extended to other food matrices and/or other food-derived micro-organisms.     

Diversity of Clonostachys species assessed by molecular phylogenetics and MALDI-TOF mass spectrometry

We assessed the species diversity among 45 strains of Clonostachys from different substrates and localities in Brazil using molecular phylogenetics, and compared the results with the phenotypic classification of strains obtained from matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS). Phylogenetic analyses were based on beta tubulin (Tub), ITS-LSU rDNA, and a combined Tub-ITS DNA dataset. MALDI-TOF MS analyses were performed using intact conidia and conidiophores of strains cultivated on oatmeal agar and 4 % malt extract agar. Six known species were identified: Clonostachys byssicola, Clonostachys candelabrum, Clonostachys pseudochroleuca, Clonostachys rhizophaga, Clonostachys rogersoniana, and Clonostachys rosea. Two clades and two singleton lineages did not correspond to known species represented in the reference DNA dataset and were identified as Clonostachys sp. 1–4. Multivariate cluster analyses of MALDI-TOF MS data classified the strains into eight clusters and three singletons, corresponding to the ten identified species plus one additional cluster containing two strains of C. rogersoniana that split from the other co-specific strains. The consistent results of MALDI-TOF MS supported the identification of strains assigned to C. byssicola and C. pseudochroleuca, which did not form well supported clades in all phylogenetic analyses, but formed distinct clusters in the MALDI-TOF dendrograms.     

Rapid identification of acetic acid bacteria using MALDI-TOF mass spectrometry fingerprinting

Acetic acid bacteria (AAB) are widespread microorganisms characterized by their ability to transform alcohols and sugar-alcohols into their corresponding organic acids. The suitability of matrix-assisted laser desorption-time of flight mass spectrometry (MALDI-TOF MS) for the identification of cultured AAB involved in the industrial production of vinegar was evaluated on 64 reference strains from the genera Acetobacter, Gluconacetobacter and Gluconobacter. Analysis of MS spectra obtained from single colonies of these strains confirmed their basic classification based on comparative 16S rRNA gene sequence analysis. MALDI-TOF analyses of isolates from vinegar cross-checked by comparative sequence analysis of 16S rRNA gene fragments allowed AAB to be identified, and it was possible to differentiate them from mixed cultures and non-AAB. The results showed that MALDI-TOF MS analysis was a rapid and reliable method for the clustering and identification of AAB species.     

Chemical extraction versus direct smear for MALDI-TOF mass spectrometry identification of anaerobic bacteria

In the present study, two pre-analytic processes for mass spectrometric bacterial identification were compared: the time-consuming reference method, chemical extraction, and the direct smear technique directly using cultured colonies without any further preparation. These pre-analytic processes were compared in the identification of a total of 238 strains of anaerobic bacteria representing 34 species. The results showed that 218/238 strains were identified following chemical extraction, 185 identifications (77.7%) were secured to both genus and species [log(score) > 2.0] whereas 33 identifications (14%) were secured to genus only [log(score) between 1.7 and 2.0]. Following direct smear, 207/238 anaerobic bacteria were identified, 158 identifications (66.4%) were secured to both genus and species [log(score) > 2.0] whereas 49 identifications were secured to genus only [log(score) between 1.7 and 2.0]. Twenty strains were not identified [log(score) < 1.7] by MALDI-TOF MS following chemical extraction whereas 31 strains were not identified with the direct smear technique. Although direct smear led to a significant decrease of the log(score) values for the Clostridium genus and the Gram positive anaerobic bacteria (GPAC) group (p < 0.0001, Wilcoxon test), identification to both species and genus were not changed. However these differences were not statistically significant (p = 0.1, Chi square). Therefore, MALDI-TOF MS identification following the direct smear technique appears to both non-inferior to the reference method and relevant for anaerobic bacteria identification.     

Rapid Characterization of Microalgae and Microalgae Mixtures Using Matrix-Assisted Laser Desorption Ionization Time-Of-Flight Mass Spectrometry (MALDI-TOF MS)

Current molecular methods to characterize microalgae are time-intensive and expensive. Matrix Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry (MALDI-TOF MS) may represent a rapid and economical alternative approach. The objectives of this study were to determine whether MALDI-TOF MS can be used to: 1) differentiate microalgae at the species and strain levels and 2) characterize simple microalgal mixtures. A common protein extraction sample preparation method was used to facilitate rapid mass spectrometry-based analysis of 31 microalgae. Each yielded spectra containing between 6 and 56 peaks in the m/z 2,000 to 20,000 range. The taxonomic resolution of this approach appeared higher than that of 18S rDNA sequence analysis. For example, two strains of Scenedesmus acutus differed only by two 18S rDNA nucleotides, but yielded distinct MALDI-TOF mass spectra. Mixtures of two and three microalgae yielded relatively complex spectra that contained peaks associated with members of each mixture. Interestingly, though, mixture-specific peaks were observed at m/z 11,048 and 11,230. Our results suggest that MALDI-TOF MS affords rapid characterization of individual microalgae and simple microalgal mixtures.     

Rapid identification of Streptomyces isolates by MALDI-TOF MS

The recent emergence of multidrug-resistant bacteria over the last decade has led to a renewal in the discovery of new antimicrobial drugs. Streptomyces members are practically unlimited sources of new antibiotics. However, the identification of Streptomyces species is difficult and time-consuming. Therefore, there is a need for alternative methods for their rapid identification. In this study, an efficient protocol of identification using Matrix-Assisted Laser Desorption Ionization Time-Of-Flight Mass Spectrometry (MALDI-TOF MS) was developed and applied for the rapid identification of Streptomyces isolates from the El Kala lakes in northeastern Algeria. A collection of 48 Streptomyces isolates were used for this study. The optimized procedure allowed us to obtain specific and reproducible protein spectra for each Streptomyces isolate tested. The spectra generated were used to build a preliminary local database based on their initial 16S rRNA identification. The blind test used for the identification of 20 Streptomyces strains already available in our created database and 20 unknown Streptomyces isolates showed that all (100%) of the Streptomyces strains listed in the database were rapidly (<30 min) identified with high scores of up to 2.8. Here, for the first time we showed that MALDI-TOF MS could be used as a cost-effective tool for the rapid identification of Streptomyces isolates.     

Matrix-assisted laser desorption ionization-time of flight mass spectrometry for the identification of clinically relevant bacteria

Background

Matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) allows rapid and reliable identification of microorganisms, particularly clinically important pathogens.

Methodology/Principal Findings

We compared the identification efficiency of MALDI-TOF MS with that of Phoenix®, API® and 16S ribosomal DNA sequence analysis on 1,019 strains obtained from routine diagnostics. Further, we determined the agreement of MALDI-TOF MS identifications as compared to 16S gene sequencing for additional 545 strains belonging to species of Enterococcus, Gardnerella, Staphylococcus, and Streptococcus. For 94.7% of the isolates MALDI-TOF MS results were identical with those obtained with conventional systems. 16S sequencing confirmed MALDI-TOF MS identification in 63% of the discordant results. Agreement of identification of Gardnerella, Enterococcus, Streptococcus and Staphylococcus species between MALDI-TOF MS and traditional method was high (Crohn''s kappa values: 0.9 to 0.93).

Conclusions/Significance

MALDI-TOF MS represents a rapid, reliable and cost-effective identification technique for clinically relevant bacteria.     

Multiplex PCR for rapid differentiation of three species in the "Clostridium clostridioforme group"

Clostridium clostridioforme is a relatively antimicrobial resistant, phenotypically heterogeneous anaerobe that has been involved in a variety of infections. 16S rDNA sequencing analysis revealed three principal species in what has been called Clostridium clostridioforme - Clostridium bolteae, C. clostridioforme, and Clostridium hathewayi. Based on the 16S rDNA sequence information we obtained, we developed a cost-effective, timesaving one-step multiplex PCR assay for rapid and accurate differentiation of these three species. The established multiplex PCR identification scheme was applied to the identification of 88 clinical isolates that had previously been identified phenotypically as C. clostridioforme. The identification obtained from multiplex PCR assays showed 100% agreement with 16S rDNA sequencing identification. This scheme will permit more accurate assessment of the role of these three Clostridium species in infection and of the degree of antimicrobial resistance in each of the species.     

Classification of genus Pseudomonas by MALDI-TOF MS based on ribosomal protein coding in S10-spc-alpha operon at strain level

We have proposed a rapid phylogenetic classification at the strain level by MALDI-TOF MS using ribosomal protein matching profiling. In this study, the S10-spc-alpha operon, encoding half of the ribosomal subunit proteins and highly conserved in eubacterial genomes, was selected for construction of the ribosomal protein database as biomarkers for bacterial identification by MALDI-TOF MS analysis to establish a more reliable phylogenetic classification. Our method revealed that the 14 reliable and reproducible ribosomal subunit proteins with less than m/z 15,000, except for L14, coded in the S10-spc-alpha operon were significantly useful biomarkers for bacterial classification at species and strain levels by MALDI-TOF MS analysis of genus Pseudomonas strains. The obtained phylogenetic tree was consisted with that based on genetic sequence (gyrB). Since S10-spc-alpha operons of genus Pseudomonas strains were sequenced using specific primers designed based on nucleotide sequences of genome-sequenced strains, the ribosomal subunit proteins encoded in S10-spc-alpha operon were suitable biomarkers for construction and correction of the database. MALDI-TOF MS analysis using these 14 selected ribosomal proteins is a rapid, efficient, and versatile bacterial identification method with the validation procedure for the obtained results.     

Use of 16S-23S rRNA spacer-region (SR)-PCR for identification of intestinal clostridia

The suitability of a species identification technique based on PCR analysis of 16S-23S rRNA spacer region (SR) polymorphism for human intestinal Clostridium species was evaluated. This SR-PCR based technique is highly reproducible and successfully differentiated the strains tested, which included 17 ATCC type strains of Clostridium and 152 human stool Clostridium isolates, at the species or intraspecies level. Ninety-eight of 152 stool isolates, including C. bifermentans, C. butyricum, C. cadaveris, C. orbiscindens, C. paraputrificum, C. pefringens, C. ramosum, C. scindens, C. spiroforme, C. symbiosum and C. tertium, were identified to species level by SR-PCR patterns that were identical to those of their corresponding ATCC type strains. The other 54 stool isolates distributed among ten SR-PCR patterns that are unique and possibly represent ten novel Clostridium species or subspecies. The species identification obtained by SR-PCR pattern analysis completely agreed with that obtained by 16S rRNA sequencing, and led to identification that clearly differed from that obtained by cellular fatty acid analysis for 23/152 strains (15%). These results indicate that SR-PCR provides an accurate and rapid molecular method for the identification of human intestinal Clostridium species.     

Solventogenic-cellulolytic clostridia from 4-step-screening process in agricultural waste and cow intestinal tract

A clostridial bacterium is accepted to be one of the important and efficient microorganisms for the application in fuel fermentation process. However, the lack of cellulolytic activity of cellulosome in this organism appears to be one of the main important problems for efficient production of the fuel. It is therefore interesting to search for the genetic resource of natural clostridial bacteria for the application in bioengineering. Presently, Clostridium species selection and identification are based on various physiological properties tests. This article developed the way for a 4-step screening process via mainly three criteria and 16S rDNA identification. In this study, solvent-producing clostridial bacteria were successfully isolated from decomposed sources, cow feaces, and dry grass in Thailand. Anaerobes were screened by cellulolytic activity and butanol tolerance in selective media that composed of basal media supplemented with 2% cellulose and 5% butanol. Thirty isolates of cellulolytic and butanol-tolerant anaerobic bacteria were obtained from screening in this medium. Fifteen isolates were rapidly classified as in the class Clostridia by three selected criteria (endospore formation, sulfite-reducing ability, and metabolic products). Secondary metabolites of the bacteria such as acetone, butanol and ethanol were varied depending on the process. Clostridial differential medium was used as a genus identification tool. Finally, PCR-amplified gene fragments coding for 16S rDNA were analyzed as a key to identify bacteria species. This process can be used to screen and identify Clostridium species in short period. Cellulosome and non-cellulosome cellulases productivity were analyzed. The results revealed that the selected cellulolytic strains (such as Fea-PA) exhibited EngD non-cellulosome cellulase activity especially endoglucanase activity on carboxymethyl cellulose. The selective system in this research was appropriate for the screening of Clostridiaceae in a similarity range between 83% and 100%.     

Use of restriction fragment length polymorphism analysis to differentiate strains of psychrophilic and psychrotropic clostridia associated with blown pack' spoilage of vacuum-packed meats

Reference and meat strains of psychrophilic and psychrotrophic clostridia were differentiated using restriction fragment length polymorphism (RFLP) analysis of genomic DNA (DNA-RFLP) and the polymerase chain reaction-amplified 16S rDNA gene (PCR-RFLP). Groupings obtained with PCR-RFLP were confirmed with 16S rDNA gene sequencing. DNA-RFLP resolved 19 of the 22 meat strains into 11 groups. Three meat strains were untypable using this method. All reference strains representing different genotypic species could be distinguished by the restriction patterns of 16S rDNA genes. With PCR-RFLP, the 22 meat strains produced eight distinct genotypes. 16S rDNA gene sequencing confirmed that each genotype was represented by a distinct sequence. PCR-RFLP restriction patterns of 15 meat strains matched those of one of two of the seven reference strains used. Seven meat strains whose RFLP restriction patterns of 16S rDNA genes differed from those of any reference strains probably represent four previously undescribed species. Although RFLP analysis of the amplified 16S rDNA gene allowed differentiation of psychrophilic and psychrotrophic clostridia at the genotypic species level and below, comparison of PCR-RFLP patterns and 16S rDNA sequences of unknown clostridial isolates with patterns and sequences of reference strains may not effect ready identification of these micro-organisms. The results of this study will be useful in diagnosis of the cause of premature spoilage of chilled vacuum-packed meats and in tracing spoilage-causing clostridia to their source(s) in the abattoir.     

Identification of Gram-positive anaerobic cocci by MALDI-TOF mass spectrometry

Gram-positive anaerobic cocci (GPAC) are part of the commensal microbiota of humans and are a phylogenetically heterogeneous group of organisms. To evaluate the suitability of matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) for the identification of GPAC, a database was constructed, using reference strains of commonly encountered GPAC and clinical isolates of which the sequence of the 16S rRNA gene was determined. Subsequently, the database was validated by identifying 107 clinical isolates of GPAC. Results were compared with the identifications obtained by 16S sequencing or fluorescent in situ hybridization (FISH). Strains belonging to the same species grouped together, in most cases, by MALDI-TOF MS analyses. Strains with sequence similarities less than 98% to their closest relatives, formed clusters distinct from recognized species in the MALDI-TOF MS dendrogram and, therefore could not be identified. These strains probably represent new species. Only three clinical isolates (2 strains of Finegoldia magna and 1 strain of Anaerococcus vaginalis) could not be identified. For all the other GPAC strains (96/107), reliable identifications were obtained. Therefore, we concluded that MALDI-TOF MS is an excellent tool for the identification of phylogenetically heterogeneous groups of micro-organisms such as GPAC.