Fourier-Transform Infrared Microspectroscopy, a Novel and Rapid Tool for Identification of Yeasts

Fourier-transform infrared (FT-IR) microspectroscopy was used in this study to identify yeasts. Cells were grown to microcolonies of 70 to 250 μm in diameter and transferred from the agar plate by replica stamping to an IR-transparent ZnSe carrier. IR spectra of the replicas on the carrier were recorded using an IR microscope coupled to an IR spectrometer, and identification was performed by comparison to reference spectra. The method was tested by using small model libraries comprising reference spectra of 45 strains from 9 genera and 13 species, recorded with both FT-IR microspectroscopy and FT-IR macrospectroscopy. The results show that identification by FT-IR microspectroscopy is equivalent to that achieved by FT-IR macrospectroscopy but the time-consuming isolation of the organisms prior to identification is not necessary. Therefore, this method also provides a rapid tool to analyze mixed populations. Furthermore, identification of 21 Debaryomyces hansenii and 9 Saccharomyces cerevisiae strains resulted in 92% correct identification at the strain level for S. cerevisiae and 91% for D. hansenii, which demonstrates that the resolution power of FT-IR microspectroscopy may also be used for yeast typing at the strain level.     

FT-IR microspectroscopy: a promising method for the rapid identification of Listeria species

This work presents a pilot study to investigate the potential of fourier transform infrared (FT-IR) microspectroscopy for rapid identification of Listeria at the species level. Using this technique, FT-IR spectra were acquired from 30 strains from five Listeria species. The FT-IR spectra were analysed using stepwise canonical discriminant analysis and partial least-squares regression in a stepwise identification scheme. The results showed that 93% of all the samples were assigned to the correct species, and that 80% of the Listeria monocytogenes strains were correctly identified. In comparison, 100% of the samples, including the L. monocytogenes samples, were correctly identified using spectra acquired by FT-IR macrospectroscopy. The results show that FT-IR microspectroscopy has potential as a rapid screening method for Listeria, which is especially valuable for the food industry.     

Rapid species and strain differentiation of non-tubercoulous mycobacteria by Fourier-Transform Infrared microspectroscopy

Rapid identification of non-tuberculous mycobacteria (NTM) species is important in clinical laboratories to stipulate the appropriate therapy and to offer a comprehensive infection control. We applied Fourier-Transform Infrared microspectroscopy to evaluate, whether the most frequent species of NTM can be rapidly and uniformly identified by this method using microcolonies of NTM growing on solid nutrient agar plates. To establish a standardized protocol, the heterogeneity of cell growth within the microcolonies and the reproducibility of measuring the IR spectra from whole mycobacterial microcolonies were first studied. Hierarchical cluster analysis applied to spectra obtained by linear mapping across microcolony imprints from fast- and slow-growing NTM revealed only little spectral variance between the various microcolony zones. In parallel, when repetitive measurements were performed on independently grown whole single microcolonies with diameters of 80 and 140 mum, excellent reproducibility could be achieved, verifying that mycobacterial microcolonies are well suited for FT-IR-based identification. Twenty-eight different and well-defined strains, comprising the most frequent species of NTM isolated in clinical laboratories, were used to create a classification system based on FT-IR spectra from single microcolonies. Hierarchical cluster analysis allowed the assignment of all isolates measured in replicates to their correct species-specific clusters. Additionally, a clear separation of all strains into strain-specific sub-clusters was observed. These results demonstrate the potential of FT-IR microspectroscopy to rapidly differentiate NTM at the species and strain level. The data so far obtained suggest that an extended spectral database, containing more NTM strains and covering a broader biological variance, may provide a practical solution to rapidly identify unknown NTM isolates in routine clinical-microbiological laboratories with the additional possibility to type these microorganisms at the sub-species level.     

FTIR spectroscopic discrimination of Saccharomyces cerevisiae and Saccharomyces bayanus strains

In this study, we tested the potential of Fourier-transform infrared absorption spectroscopy to screen, on the one hand, Saccharomyces cerevisiae and non-S. cerevisiae strains and, on the other hand, to discriminate between S. cerevisiae and Saccharomyces bayanus strains. Principal components analysis (PCA), used to compare 20 S. cerevisiae and 21 non-Saccharomyces strains, showed only 2 misclassifications. The PCA model was then used to classify spectra from 14 Samos strains. All 14 Samos strains clustered together with the S. cerevisiae group. This result was confirmed by a routinely used electrophoretic pattern obtained by pulsed-field gel electrophoresis. The method was then tested to compare S. cerevisiae and S. bayanus strains. Our results indicate that identification at the strain level is possible. This first result shows that yeast classification and S. bayanus identification can be feasible in a single measurement.     

Evaluation of infrared spectroscopy as a bacterial identification method

Summary A study motivated by the recent revival of interest in the use of IR spectroscopy to identify bacteria is reported. A library of FT-IR spectra of dried bacterial films was compled using 16 different strains. A test set was complied from spectra of the same strains grown several months later. The test set was quantitatively compared with the library on the basis of spectral similarity in the region 980–1190 cm^–1. Six of the strains in the test set were not matched with the correct strain in the library despite efforts to reproduce the conditions under which cells were grown and prepared. The results suggest that reproducibility of the bacterial spectra is a potential difficulty that must be addressed by any attempts to develop FT-IR spectroscopy as a bacterial identification method.     

Characterization of β-glucosidase activity in yeasts of oenological origin

I. ROSI, M. VINELLA AND P. DOMIZIO. 1994. Three hundred and seventeen strains representing 20 species of yeasts were screened for the presence of β-glucosidase activity. All of the strains of the species Debaryomyces castellii, Deb. hansenii, Deb. polymorphus, Kloeckera apiculata and Hansenula anomala showed β-glucosidase activity, but only one of 153 strains of Saccharomyces cerevisiae. The other species behaved differently, depending upon the strain. The strains that hydrolysed arbutin were checked to localize the β-glucosidase activity. A strain of Deb. hansenii exhibited the highest exocellular activity and some wall-bound and intracellular activity. The β-glucosidase synthesis from this yeast was enhanced by aerobic conditions of growth, was repressed by high glucose concentration (9%) and occurred during exponential growth. The optimum conditions for enzymatic preparations of Deb. hansenii were between pH 4.0 and 5.0 and 40C. A high concentration of ethanol and glucose did not reduce the ezymatic activity. The enzymatic preparations of Deb. hansenii released monoterpenols and other alcohols from a grape glycoside extract.     

Rapid analysis of two food-borne microbial communities at the species level by Fourier-transform infrared microspectroscopy

The species composition of microbial communities in natural habitats may be extremely complex and therefore a quantitative analysis of the fraction each species contributes to the consortium has proven to be difficult. During recent years, the identification of bacterial pure cultures based on their infrared spectra has been established. Fourier-transform infrared microspectroscopy now proceeds a step further and allows identification of microorganisms directly plated from community dilutions. Infrared spectra of microcolonies of 70-250 microm in diameter can be recorded without producing a pure culture of the isolate. We have applied this novel technique for quantitative comparative analysis of two undefined, geographically separated food-borne smear cheese microbial consortia of limited complexity. Due to the high degree of automation, up to 200 microcolonies could be identified in 1 day and, in total, 3170 infrared spectra of microcolonies were recorded. The results obtained have been verified by Fourier-transform infrared macrospectroscopy and 16S rDNA sequencing. Interestingly, although the communities were unrelated, Staphylococcus equorum, Corynebacterium casei, Arthrobacter casei and Brevibacterium linens were found to be part of both consortia, however, with different incidence. In addition, Corynebacterium variabile, Microbacterium gubbeenense, Brachybacterium alimentarium, Enterococcus faecalis and an unknown species were detected in either one of the consortia.     

DNA probes specific for the yeast species Debaryomyces hansenii: useful tools for rapid identification

We developed a rapid and sensitive identification method for the halotolerant yeast Debaryomyces hansenii, based on the hybridization of species-specific sequences. These sequences were first identified in a survey of D. hansenii strains by random amplification of polymorphic DNA (RAPD) as giving conserved bands in all isolates tested. Two such conserved RAPD products, termed F01pro and M18pro, were cloned from the type strain CBS 767. The specificity of these probes was assessed by hybridizing them to DNA from various species of yeasts commonly found in cheese. F01pro and M18pro hybridized to the DNA of all D. hansenii var. hansenii tested, but not to DNA of other yeast species including the closely related strain of D. hansenii var. fabryii CBS 789. Hybridization patterns of F01pro and M18pro on digested genomic DNA of D. hansenii indicated that the sequences were repeated in the genome of all D. hansenii var. hansenii tested, and gave distinct polymorphic patterns. The single F01pro probe generated 11 different profiles for 24 strains by restriction fragment length polymorphism, using one restriction enzyme. F01pro represents a new type of repeated element found in fungi, useful for both identification and typing of D. hansenii and, together with M18pro, simplifies the study of this species in complex flora.     

Randomly amplified polymorphic DNA (RAPD) PCR for the identification of yeasts isolated from dairy products

In the present work randomly amplified polymorphic DNA-polymerase chain reaction (RAPD-PCR) with primers M13 and RF2 was applied to the identification at species level of yeast strains isolated from cheeses. RAPD-PCR analysis of the type strains of different yeast species gave distinctive band profiles that allowed a clear differentiation of all the considered species. Forty-two of the 48 dairy associated yeasts were clearly assigned to the species Saccharomyces cerevisiae, Kluyveromyces marxianus (anamorph Candida kefyr), Kluyveromyces lactis (anamorph Candida sphaerica), Debaryomyces hansenii (anamorph Candida famata), Yarrowia lipolytica and Torulaspora delbrueckii (anamorph Candida colliculosa). The method, which is rapid and easy to perform, could be a useful tool for the identification of yeasts present in dairy products.     

Classification and identification of bacteria by Fourier-transform infrared spectroscopy.

This study describes a computer-based technique for classifying and identifying bacterial samples using Fourier-transform infrared spectroscopy (FT-IR) patterns. Classification schemes were tested for selected series of bacterial strains and species from a variety of different genera. Dissimilarities between bacterial IR spectra were calculated using modified correlation coefficients. Dissimilarity matrices were used for cluster analysis, which yielded dendrograms broadly equated with conventional taxonomic classification schemes. Analyses were performed with selected strains of the taxa Staphylococcus, Streptococcus, Clostridium, Legionella and Escherichia coli in particular, and with a database containing 139 bacterial reference spectra. The latter covered a wide range of Gram-negative and Gram-positive bacteria. Unknown specimens could be identified when included in an established cluster analysis. Thirty-six clinical isolates of Staphylococcus aureus and 24 of Streptococcus faecalis were tested and all were assigned to the correct species cluster. It is concluded that: (1) FT-IR patterns can be used to type bacteria; (2) FT-IR provides data which can be treated such that classifications are similar and/or complementary to conventional classification schemes; and (3) FT-IR can be used as an easy and safe method for the rapid identification of clinical isolates.     

Fourier transform infrared microspectroscopy as a new tool for nematode studies

We report the results of a microspectroscopy study on the Fourier transform infrared (FT-IR) absorption spectra of Caenorhabditis elegans, collected from the different parts of a single intact specimen--pharynx, intestine and tail regions. The principal absorption bands were assigned to the molecular species present in C. elegans, with an excellent reproducibility for the pharynx spectrum. These results enabled us to explore if FT-IR microspectroscopy could offer a new tool for nematode identification. As an example, the discrimination among four well characterised nematode taxa is reported. The FT-IR results completely match those obtained by Blaxter and colleagues through molecular biology [Nature 392 (1998) 71].     

Classification and identification of Arabidopsis cell wall mutants using Fourier-Transform InfraRed (FT-IR) microspectroscopy

We have developed a novel procedure for the rapid classification and identification of Arabidopsis mutants with altered cell wall architecture based on Fourier-Transform Infrared (FT-IR) microspectroscopy. FT-IR transmission spectra were sampled from native 4-day-old dark-grown hypocotyls of 46 mutants and the wild type treated with various drugs. The Mahalanobis distance between mutants, calculated from the spectral information after compression with the Discriminant Variables Selection procedure, was used for alpha hierarchical cluster analysis. Despite the completely unsupervised nature of the classification procedure, we show that all mutants with cellulose defects appeared in the same cluster. In addition, mutant alleles of similar strength for several unrelated loci were also clustered, which demonstrates the sensitivity of the method to detect a wide array of cell wall defects. Comparing the cellulose-deficient cluster with the cluster that contained wild-type controls led to the identification of wave numbers that were diagnostic for altered cellulose content in the context of an intact cell wall. The results show that FT-IR spectra can be used to identify different classes of mutants and to characterize cell wall changes at a microscopic level in unknown mutants. This procedure significantly accelerates the identification and classification of cell wall mutants, which makes cell wall polysaccharides more accessible to functional genomics approaches.     

FT-IR microspectroscopy for early identification of some clinically relevant pathogens

AIMS: To investigate the potentials and limitations of Fourier transform-infrared (FT-IR) microspectroscopy as a tool to identify, at the level of microcolonies, pathogenic bacteria frequently isolated in the clinical environment. METHODS AND RESULTS: A total of 1570 FT-IR spectra from 164 gram-positive and gram-negative bacteria isolated from patients were recorded from 6 to 10-h old microcolonies of 50-150 microm size. A classification of 100% was obtained for the most frequent gram-positive bacteria, such as Staphylococcus aureus, Staphylococcus epidermidis, Enterococcus faecalis, and Enterococcus faecium at the species level. An average accuracy of about 80% was reached with Gram negative bacteria from the Enterobacteriaceae and Pseudomonaceae families; Enterobacter aerogenes, Enterobacter cloacae, Klebsiella spp., and Citrobacter koseri; and Proteus mirabilis and Escherichia coli. Results were comparable with FT-IR measurements on dried suspensions from 18-h cultures. CONCLUSIONS: Early identification of young microcolonies is feasible with FT-IR microscopy with a very high accuracy for gram-positive bacteria. Some improvement in the transfer of microcolonies is necessary to increase the accuracy for gram-negative bacteria. SIGNIFICANCE AND IMPACT OF THE STUDY: Combination of FT-IR microscopy and multivariate data analysis could be a complementary, rapid, and reliable tool for screening and discriminating, at species and subspecies level, micro-organisms of clinical, food-borne, or environmental origins.     

Taxonomic heterogeneity of strains comprising Gluconacetobacter hansenii

The taxonomic standing of Gluconacetobacter hansenii was clarified through phenotypic characteristics, quinones, DNA base composition, DNA relatedness, and the production of gluconic and ketogluconic acids from glucose. All strains that Gosselé et al. (Syst. Appl. Microbiol., 4, 338-368, 1983) employed in the establishment of Acetobacter hansenii (=G. hansenii) were used in this study. Phenotypic differences were shown among the strains of G. hansenii, suggesting heterogeneity within the species. The major ubiquinone was Q-10 for all strains of G. hansenii, except for strain IFO 3296, which was characterized by Q-9. This excluded IFO 3296 from the species G. hansenii and placed it in the genus Acetobacter. DNA relatedness revealed four distinct homology groups (I, II, III, and IV) among strains of the species. Group I was distinguished from the other genomic groups by a lower G1C range from 58.9 to 59.2 mol%. Groups II, III, and IV showed higher G+C contents of 60.4 to 62.2, 60.8, and 61.7 mol%, respectively. Groups I and IV produced both 2- and 5-ketogluconic acids from glucose, and Group III produced only 2-ketogluconic acid. Group II included strains that produced both 2- and 5-ketogluconic acids and strains that produced only 2-ketogluconic acid. It is clear that G. hansenii consists of genotypically heterogeneous strains comprising four homology groups (I, II, III, and IV). Since group I contains the type strain (IFO 14820(T)=LMG 1527(T)) of the species, this group is designated as the species G. hansenii.     

Differential detection of Debaryomyces hansenii isolated from intermediate-moisture foods by PCR-RFLP of the IGS region of rDNA

The amplification by PCR of the Intergenic Spacer region (IGS) of rDNA followed by Restriction Fragment Length Polymorphism (RFLP) analysis was evaluated as a potential method for the identification of Debaryomyces hansenii among other yeast species that frequently contaminate Intermediate-Moisture Foods (IMFs). For a first rapid differentiation at the species level, the determination of the IGS-PCR fragment size was found to be a useful approach. The digestion of this region with the enzymes HhaI, HapII and MboI resulted in specific patterns that permit the identification of D. hansenii among other yeast species. This method also permitted the discrimination between the D. hansenii varieties (var. hansenii and var. fabryi) as well as the differentiation of D. hansenii from other species of the genus, such as Debaryomyces pseudopolymorphus or Debaryomyces polymorphus var. polymorphus. The IGS-PCR RFLP method was assayed for the differential detection of D. hansenii in contaminated or spoiled IMF products and compared with traditional identification procedures, resulting in a 100% detection rate for D. hansenii.     

Phenotypic and genotypic identification of yeasts from cheese

Eighty-five yeast strains isolated from different cheeses of Austria, Denmark, France, Germany, and Italy were identified using physiological methods and genotypically using random amplified polymorphic DNA polymerase chain reaction (RAPD-PCR) analysis. Good congruence was found between the phenotypic and genotypic data for 39 of the isolates. However, 26 isolates of Geotrichum could only be identified to the species level using the genotypic methods and 7 isolates were correctly identified to the genus level only using phenotypic identification methods. The phenotypic identification did not agree with the genotypic data for 14 yeast isolates. Using ubiquinone analysis, yeast cell wall sugars and the diazonium blue B test 5 incorrectly identified isolates with phenotypic methods could be identified genotypically. In addition the 7 isolates identified only to the genus level by the phenotypic methods and the 26 Geotrichum strains were identified to the species level using the polyphasic molecular approach mentioned above. Eleven strains remained unidentified. The 76 identified yeast isolates were assigned to 39 species, the most frequent assignments were made to Debaryomyces hansenii, Geotrichum candidum, Issatchenkia orientalis, Kluyveromyces lactis, K. marxianus, Saccharomyces cerevisiae, Yarrowia lipolytica, andCandida catenulata. It is proposed that Debaryomyces hansenii (Zopf) Lodder et Kreger-van Rij and Debaryomyces fabryi Ota should be reinstated. The RAPD-PCR data reinforced the view that the species Galactomyces geotrichum is heterogeneous with all of the Geotrichum isolates from cheese products being assigned G. geotrichum group A sensu M.T. Smith. It is suggested that the name Geotrichum candidum be conserved for this rather common species.     

Artificial neural network based identification of Campylobacter species by Fourier transform infrared spectroscopy

Two prototypes of artificial neural network (ANN), multilayer perceptron (MLP), and probabilistic neural network (PNN), were used to analyze infrared (IR) spectral data obtained from intact cells belonging to the species Campylobacter coli and Campylobacter jejuni. In order to establish a consistent identification and typing procedure, mid infrared spectra of these species were obtained by means of a Fourier transform infrared (FT-IR) spectroscope. FT-IR patterns belonging to 26 isolates subclassified into 4 genotypes were pre-processed (normalized, smoothed and derivatized) and grouped into training, verification and test sets. The two architectures tested (PNN, MLP) were developed and trained to identify or leave unassigned a number of IR patterns. Two window ranges (w(4), 1200 to 900 cm(-1); and w(5), 900 to 700 cm(-1)) in the mid IR spectrum were presented as input to the ANN models functioning as pattern recognition systems. No matter the ANN used all the training sets were correctly identified at subspecies level. For the test set, the four-layer MLP network was found to be specially suitable to recognize FT-IR data since it correctly identified 99.16% of unknowns using the w(4) range, and was fully successful in detecting atypical patterns from closely related Campylobacter strains and other bacterial species. The PNN network obtained lower percentages in assignation and rejection. Overall, ANNs constitute an excellent mathematical tool in microbial identification, since they are able to recognize with a high degree of confidence typical as well as atypical FT-IR fingerprints from Campylobacter spp.     

Use of Fourier transform infrared (FT-IR) spectroscopy as a tool for pollen identification

Airborne pollen are largely studied to obtain information about the atmospheric content of natural allergens. Aerobiological monitoring networks have been established to provide reliable data that facilitate the timely initiation of preventive actions aimed at minimizing allergic symptoms. Airborne pollen are usually identified and counted using an optical microscope, but as such procedures are extremely time-consuming, more expedient options are being explored. We have assessed the potential of Fourier transform infrared (FT-IR) spectroscopy as an alternative method for the rapid and reliable identification of allergenic pollen using six well-known allergenic pollen taxa and obtaining the respective FT-IR spectra. In doing this, a first IR spectral library has been created. The spectra of unknown pollen were compared to those of the reference library, and two pollen taxa of a mixed sample were identified.     

The effect of hydroxycinnamic acids and potassium sorbate on the growth of 11 strains of spoilage yeasts

D. STEAD. 1995. Hydroxycinnamic acids and their derivatives occur widely in plants, fruits and wine. The effect of the common hydroxycinnamic acids (caffeic, coumaric and ferulic acids), at concentrations of 100 and 500 mg 1^-1, on growth of 11 strains of spoilage yeasts was measured spectrophotometrically and compared with that of potassium sorbate. Ferulic acid was the most generally inhibitory hydroxycinnamic acid. At 500 mg 1^-1 it appreciably inhibited Pichia anomala, Debaryomyces hansenii and Saccharomyces cerevisiae and prevented detectable growth of one strain each of P. anomala and D. hansenii. Caffeic acid was the least inhibitory compound and coumaric acid had an intermediate effect. The more resistant strains of yeast were P. membranaefaciens, Saccharomycodes ludwigii and Zygosaccharomyces bailii. Sensitivity to hydroxycinnamic acid was, in general, associated with sensitivity to potassium sorbate; at a given concentration potassium sorbate was more inhibitory than were any of the hydroxycinnamic acids.     

FT-IR study of heterologous protein expression in recombinant Escherichia coli strains

Two recombinant Escherichia coli strains expressing different levels of an interferon fusion protein as inclusion bodies have been studied by Fourier transform infrared (FT-IR) microspectroscopy. A marker band at 1628 cm(-1) allowed monitoring of the protein expression by direct analysis of cell pellets in a rapid, non-invasive and quantitative way. The results demonstrate that FT-IR microspectroscopy is a technique of potential biotechnological interest for studying inclusion body formation.