FT-IR spectroscopy for identification of closely related lactobacilli

Fourier Transform Infrared (FT-IR) spectroscopy was used to analyse 56 strains from four closely related species of Lactobacillus, L. sakei, L. plantarum, L. curvatus and L. paracasei. Hierarchical Cluster Analysis (HCA) was used to study the clusters in the data, but in the dendrogram, the spectra were not differentiated into four separate clusters corresponding to species. When the data were analysed with Partial Least Squares Regression (PLSR), the strains were differentiated into four clusters according to species. It was also possible to recognise strains that were incorrectly identified by conventional methods prior to the FT-IR analysis. PLSR was used to identify strains from three of the species, and the results were compared to two other multivariate methods, Soft Independent Modelling of Class Analogy (SIMCA) and K-Nearest Neighbour (KNN). The three methods gave equally good identification results. The results show that FT-IR spectroscopy in combination with PLSR, or other multivariate methods, is well suited for identification of Lactobacillus at the species level, even in quite large data sets.     

Reliable and rapid identification of Listeria monocytogenes and Listeria species by artificial neural network-based Fourier transform infrared spectroscopy

Differentiation of the species within the genus Listeria is important for the food industry but only a few reliable methods are available so far. While a number of studies have used Fourier transform infrared (FTIR) spectroscopy to identify bacteria, the extraction of complex pattern information from the infrared spectra remains difficult. Here, we apply artificial neural network technology (ANN), which is an advanced multivariate data-processing method of pattern analysis, to identify Listeria infrared spectra at the species level. A hierarchical classification system based on ANN analysis for Listeria FTIR spectra was created, based on a comprehensive reference spectral database including 243 well-defined reference strains of Listeria monocytogenes, L. innocua, L. ivanovii, L. seeligeri, and L. welshimeri. In parallel, a univariate FTIR identification model was developed. To evaluate the potentials of these models, a set of 277 isolates of diverse geographical origins, but not included in the reference database, were assembled and used as an independent external validation for species discrimination. Univariate FTIR analysis allowed the correct identification of 85.2% of all strains and of 93% of the L. monocytogenes strains. ANN-based analysis enhanced differentiation success to 96% for all Listeria species, including a success rate of 99.2% for correct L. monocytogenes identification. The identity of the 277-strain test set was also determined with the standard phenotypical API Listeria system. This kit was able to identify 88% of the test isolates and 93% of L. monocytogenes strains. These results demonstrate the high reliability and strong potential of ANN-based FTIR spectrum analysis for identification of the five Listeria species under investigation. Starting from a pure culture, this technique allows the cost-efficient and rapid identification of Listeria species within 25 h and is suitable for use in a routine food microbiological laboratory.     

Differentiation of probiotic and environmental Saccharomyces cerevisiae strains in animal feed

Aims: To establish an identification system for probiotic Saccharomyces cerevisiae strains based on artificial neural network (ANN)–assisted Fourier‐transform infrared (FTIR) spectroscopy to improve quality control of animal feed. Methods and Results: The ANN‐based system for differentiating environmental from probiotic S. cerevisiae strains comprises five authorized feed additive strains plus environmental strains isolated from different habitats. A total of 108 isolates were used as reference strains to create the ANN. DHPLC analysis and δ‐PCR were used as reference methods to type probiotic yeast isolates. The performance of the FTIR‐ANN was tested in an internal validation using unknown spectra of each reference strain. This validation step yielded a classification rate of 99·1 %. For an external validation, a test data set comprising 965 spectra of 63 probiotic and environmental S. cerevisiae isolates unknown to the ANN was used, resulting in a classification rate of 98·2 %. Conclusions: Our results demonstrate that probiotic S. cerevisiae strains in feed can be differentiated successfully from environmental isolates using both genotypic approaches and ANN‐based FTIR spectroscopy. Significance and Impact of the Study: FTIR‐based artificial neural network analysis provides a rapid and inexpensive technique for yeast identification both at the species and at the strain level in routine diagnostic laboratories, using a single sample preparation.     

Identification of Carnobacterium, Lactobacillus, Leuconostoc and Pediococcus by rDNA-based techniques

Ribosomal DNA-based techniques including the analysis of profiles generated by ISR amplification, ISR restriction and ARDRA have been evaluated as molecular tools for identifying Carnobacterium, Lactobacillus, Leuconostoc and Pediococcus. They have been applied for the molecular characterization of 91 strains with the following identities: eight Carnobacterium including the eight type species of the genus; 61 Lactobacillus including 40 type strains out of 45 species, 13 Leuconostoc, out of them 11 are type strains and three are subspecies of Lc. mesenteroides; and nine strains representing the six species of genus Pediococcus. The genetic relationship displayed between these species by rrn-based profiles is sustained by their phylogenetic relationships and can therefore be considered useful for taxonomic purposes. Profiles obtained by ISR amplification allowed identification at genus level of Carnobacterium and Leuconostoc, and even at species level in genus Carnobacterium. Genera Lactobacillus and Pediococcus could not be distinguished from each other by applying this technique. The Lactobacillus species analysed here (45) were differentiated using ARDRA-DdeI and ISR-DdeI profiles, sequentially, and Pediococcus species by ISR-DdeI profiles. It was necessary to combine profiles generated by restriction of ISR-DdeI, ARDRA-DdeI and ARDRA-HaeIII in order to complete the identification of Leuconostoc species.     

设计乳杆菌特异性引物并运用菌落PCR技术快速检出和鉴定四川泡菜中的乳杆菌

乳杆菌(Lactobacillus)是益生菌, 也是当前的研究热点之一。研究泡菜等样品中的乳杆菌需要快速的检出方法。根据已完成全基因组测序的14种乳杆菌的16S rDNA序列, 设计一对乳杆菌特异性引物。PCR检测结果表明该引物对乳杆菌和明串珠菌能扩增出800 bp的片段, 对表皮葡萄球菌、乳酸乳球菌和枯草芽胞杆菌却没有扩增条带, 具有一定的乳杆菌特异性。结合MRS乳杆菌半选择培养基和革兰氏染色, 运用菌落PCR技术, 可以快速高效地检出四川泡菜中的乳杆菌。再通过对PCR扩增片段测序, 可以将乳杆菌鉴定到种。从16份四川泡菜样品中检出了15株乳杆菌, 其中14株被鉴定为植物乳杆菌, 1株需进一步鉴定才能确定种。该方法可以检出乳杆菌新种。     

Differentiation of Lactobacillus plantarum, L. pentosus and L. paraplantarum species by RAPD-PCR and AFLP

Two high-resolution genotypic techniques (RAPD-PCR and AFLP) were evaluated for their possibility to discriminate the species Lactobacillus plantarum, Lactobacillus pentosus and Lactobacillus paraplantarum and to type these taxa at the infra-species level. In total 23 strains of L. plantarum, three strains of L. pentosus, two strains of L. paraplantarum and two related strains for which the species assignment was not clear, were studied. For RAPD-PCR, suitable oligonucleotides and amplification conditions were selected and tested. For AFLP, a double digest of total genomic DNA was used and a subset of restriction fragments was selectively amplified and visualised using different primer combinations. Both methodologies generated, species-specific electrophoretic profiles. Moreover, the presence of distinct subgroups was revealed within the species L. plantarum.     

Numerical taxonomy and identification of lactic acid bacteria from spoiled, vacuum-packaged vienna sausages

Sixty-one lactic acid bacteria from spoiled vacuum-packaged vienna sausages and 15 reference strains were tested for 72 phenotypic characteristics. An identification key and a computer data base, both specific for lactic acid bacteria from meat sources, were used for identification and the results were compared. There was a high correlation (86.9%) between the two procedures in the identification of strains to genus level. However, only a 54.8% correlation was obtained in identifying strains to the species level. With numerical taxonomy ( S _sm matching coefficient with average linkage clustering) 60 strains were recovered in six clusters at the 89% similarity level. While most Leuconostoc strains clustered separately from the Lactobacillus strains, the identity of many leuconostocs was not clarified. The presence of a heterogeneous cluster containing typical and 'atypical' strains of the Lactobacillus saké/curvatus group and a separate homogeneous Lact. curvatus cluster was noted. Closer examination of the data suggested that the 'atypical' lactobacilli were all strains of Lact. saké.     

Molecular identification of vaginal lactobacilli isolated from Bulgarian women

Lactobacilli play an important role in maintaining the vaginal health of women. The development of suitable bacterial replacement therapies for the treatment of vaginosis requires knowledge of the vaginal lactobacilli species representation. The aim of this study was to identify at the species level vaginal Lactobacillus isolates obtained from Bulgarian women in childbearing age by using different molecular methods. Twenty-two strains of lactobacilli isolated from vaginal samples were identified and grouped according to their genetic relatedness. A combined approach, which included amplified ribosomal DNA restriction analysis (ARDRA), ribotyping and polymerase chain reaction (PCR) with species-specific oligonucleotide primers was applied. All vaginal isolates were grouped into 5 clusters in␣comparison with a set of 21 reference strains based␣on the initial ARDRA results, which was then confirmed by ribotyping. Finally, the strains were subjected to PCR analysis with eight different species-specific primer pairs, which allowed most of␣them to be classified as belonging to one of␣the␣following species: Lactobacillus crispatus, Lactobacillus fermentum, Lactobacillus gasseri, Lactobacillus helveticus and Lactobacillus plantarum. In conclusion, this study suggests that the most straightforward identification strategy for vaginal lactobacilli would be grouping by ARDRA or ribotyping, followed by PCR specific primers identification at species level.     

Differentiation of Lactobacillus sanfranciscensis strains by randomly amplified polymorphic DNA and pulsed-field gel electrophoresis

Genetic diversity of Lactobacillus sanfranciscensis strains isolated from naturally fermented sourdoughs of different origin was evaluated by using randomly amplified polymorphic DNA (RAPD). Computer-assisted comparison of the RAPD patterns revealed a clear separation of L. sanfranciscensis from other obligately heterofermentative Lactobacillus species closely related or normally present in sourdough. Six clusters, five of them constituted by strains of the same origin, were recognized at a similarity level of 63%. Pulsed-field gel electrophoresis (PFGE) results on strains chosen as representative were generally in good agreement with the grouping obtained by RAPD. Both techniques showed a high degree of discriminatory power and indicated the existence of a remarkable genetic polymorphism within the species. Furthermore, the chromosome size of L. sanfranciscensis was estimated by PFGE to be about 1.4 Mb.     

Evaluation of Fourier-transform infrared spectroscopy for data capture in predictive microbiology

Chemical changes in the medium, induced by the fermentative species Lactobacillus plantarum and Lactobacillus brevis and by the enzymatic action of a proteolytic, spoilage species, Yarrowia lipolytica, were analysed using Fourier-transform i.r. spectroscopy (FTIR). Changes in the absorbance data over time could be modelled using one of the more current predictive, mathematical models of microbial growth, such as the Gompertz equation. Moreover, a linear correlation between FTIR data (expressed as absorbance of some selected peaks) and viability data (expressed as log₁₀ c.f.u./g or ml) was observed during the fermentation process, both for L. plantarum and L. brevis.     

Differentiation of Listeria monocytogenes serovars by using artificial neural network analysis of Fourier-transformed infrared spectra

A classification system based on Fourier transform infrared (FTIR) spectroscopy combined with artificial neural network analysis was designed to differentiate 12 serovars of Listeria monocytogenes using a reference database of 106 well-defined strains. External validation was performed using a test set of another 166 L. monocytogenes strains. The O antigens (serogroup) of 164 strains (98.8%) could be identified correctly, and H antigens were correctly determined in 152 (91.6%) of the test strains. Importantly, 40 out of 41 potentially epidemic serovar 4b strains were unambiguously identified. FTIR analysis is superior to PCR-based systems for serovar differentiation and has potential for the rapid, simultaneous identification of both species and serovar of an unknown Listeria isolate by simply measuring a whole-cell infrared spectrum.     

Identification of lactobacilli isolated from the cloaca and vagina of laying hens and characterization for potential use as probiotics to control Salmonella Enteritidis

AIMS: To select Lactobacillus strains from laying hens for potential use as probiotic to control Salmonella Enteritidis infection. METHODS AND RESULTS: One hundred and eighty-six lactobacilli were isolated from the cloaca and vagina of laying hens, and identified at the species level by a polyphasic taxonomic approach. All isolates belonged to the Lactobacillus acidophilus, Lactobacillus reuteri or Lactobacillus salivarius phylogenetic groups, with the L. reuteri group being the most predominant group. Based on genetic diversity, about 50 representative strains were selected and tested for in vitro properties that could be predictive for probiotic activity in laying hens. Salmonella inhibition was shown to be species dependent, and correlated to some extent with the production of lactic acid. A selection of strains was evaluated in a S. Enteritidis challenge experiment. Two strains, L. reuteri R-17485 and Lactobacillus johnsonii R-17504 significantly decreased the colonization of chicks by S. Enteritidis in caeca, liver and spleen. CONCLUSIONS: Lactobacilli isolated from laying hens were observed to inhibit Salmonella growth in vitro, most probably through production of lactic acid, and to decrease in vivo the S. Enteritidis colonization of chicks. SIGNIFICANCE AND IMPACT OF THE STUDY: The data demonstrate that Lactobacillus isolates from laying hens may have probiotic potential in reducing S. Enteritidis infection.     

Discrimination of single‐porin Escherichia (E.) coli mutants by ATR and transmission mode FTIR spectroscopy

Vibrational spectroscopy has long been used in bacterial identification with different levels of taxonomic discrimination but its true potential for intra‐species differentiation remains poorly explored. Herein, both transmission Fourier‐transform infrared (FTIR) and attenuated total reflectance (ATR)‐FTIR spectroscopy are used to analyse E. coli strains that differ solely in their porin expression profile. In this previously unreported approach, the applicability of both FTIR‐spectroscopy techniques is compared with the same collection of unique strains. ATR‐FTIR spectroscopy proved to reliably distinguish between several E. coli porin mutants with an accuracy not replicated by FTIR in transmission mode (using previously optimized procedures). Further studies should allow the identification of the individual contribution of the single porin channel to the overall bacterial infrared spectrum and of molecular predictive patterns of porin alterations. (© 2013 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)     

藏北地区传统发酵乳中乳杆菌的多样性分析

摘要：【目的】针对藏北地区的乳杆菌来源及种属,对其多态性进行研究。【方法】采用ERIC-PCR技术和NTSYS-pc2.1软件对从藏北地区牧民家庭制作的发酵乳制品中分离出的77株乳杆菌进行多样性分析。【结果】ERIC-PCR扩增出的条带清晰,重复性好,多态性高。聚类分析表明,在0.73的水平上,77株乳杆菌共分为4大类群：干酪乳杆菌群A1、发酵乳杆菌群A2,瑞士乳杆菌群A3和植物乳杆菌群A4。其中,干酪乳杆菌群A1和发酵乳杆菌群A2分别占供试乳杆菌的35.06%和61.04%,为优势菌群。进一步对优势菌群     

Extracellular homopolysaccharides and oligosaccharides from intestinal lactobacilli

AIMS: To characterize lactobacilli isolated from the intestines of ducks or pigs with respect to the production of extracellular homopolysaccharides (HoPS) and oligosaccharides. METHODS AND RESULTS: Lactobacillus strains of duck or pig origin were screened for HoPS synthesis and >25% of the isolates produced fructans or glucans from sucrose. Glucan-forming strains were found within the species Lactobacillus reuteri and Lactobacillus animalis and fructan-forming strains were found within Lactobacillus mucosae, Lactobacillus crispatus and Lactobacillus acidophilus. The glucan-forming strains of L. reuteri but not L. animalis produced glucose-oligosaccharides in additon to the respective polymers, and two fructan-forming strains of L. acidophilus produced kestose. Genes coding for glycosyltransferases were detected by PCR and partially characterized by sequence analysis. CONCLUSIONS: A large proportion of lactobacilli from intestinal habitats produce HoPS from sucrose and polysaccharide formation is generally associated with the formation of glucose- and fructose oligosaccharides. SIGNIFICANCE AND IMPACT OF THE STUDY: The characterization of the metabolic potential of intestinal lactobacilli contributes to the understanding of the molecular basis of autochthony in intestinal habitats. Moreover, this is the first report of glucose-oligosaccharide production during growth of lactobacilli, and one novel fructosyltransferase and one novel glucansucrase were partially characterized on the genetic level.     

Lactobacilli in human dental caries and saliva

Samples (98 plaque and 72 saliva) from 93 patients with dental caries were investigated for Lactobacillus species which comprised 65 (62.5%) of 104 isolates. Yeasts (20.1%), Streptococcus spp. (8.7%), Staphylococcus spp. (2.9%) and a few unidentified species (5.8%), were also found. The Lactobacillus isolates were L. brevis (24.6%) L. fermentum (18.5%) L. casei (16.9%), L. delbrueckii (15.4%), L. plantarum (9.23%), L. acidophilus (7.69%), L. jensenii (4.62%), L. salivarius (1.54%) and L. gasseri (1.54%). The most common species was L. brevis (24.6%). The strains tested for beta-lactamase production showed 75.4% positive. All the Lactobacillus strains were tested for bacteriocin production against Escherichia coli, Salmonella spp., Shigella dysenteriae, S. sonnei, Klebsiella spp. and Campylobacter sp. All the lactobacilli except L. jensenii produced bacteriocin against at least one of the indicator organisms. The involvement of Lactobacillus in dental caries was established, although its role and mechanism is not well understood. The ability of Lactobacillus spp. to protect their host against certain diseases by inhibiting the growth of potential pathogens was evident.     

High-Throughput Biochemical Fingerprinting of Saccharomyces cerevisiae by Fourier Transform Infrared Spectroscopy

Single-channel optical density measurements of population growth are the dominant large scale phenotyping methodology for bridging the gene-function gap in yeast. However, a substantial amount of the genetic variation induced by single allele, single gene or double gene knock-out technologies fail to manifest in detectable growth phenotypes under conditions readily testable in the laboratory. Thus, new high-throughput phenotyping technologies capable of providing information about molecular level consequences of genetic variation are sorely needed. Here we report a protocol for high-throughput Fourier transform infrared spectroscopy (FTIR) measuring biochemical fingerprints of yeast strains. It includes high-throughput cultivation for FTIR spectroscopy, FTIR measurements and spectral pre-treatment to increase measurement accuracy. We demonstrate its capacity to distinguish not only yeast genera, species and populations, but also strains that differ only by a single gene, its excellent signal-to-noise ratio and its relative robustness to measurement bias. Finally, we illustrated its applicability by determining the FTIR signatures of all viable Saccharomyces cerevisiae single gene knock-outs corresponding to lipid biosynthesis genes. Many of the examined knock-out strains showed distinct, highly reproducible FTIR phenotypes despite having no detectable growth phenotype. These phenotypes were confirmed by conventional lipid analysis and could be linked to specific changes in lipid composition. We conclude that the introduced protocol is robust to noise and bias, possible to apply on a very large scale, and capable of generating biologically meaningful biochemical fingerprints that are strain specific, even when strains lack detectable growth phenotypes. Thus, it has a substantial potential for application in the molecular functionalization of the yeast genome.     

Succinate production and citrate catabolism by Cheddar cheese nonstarter lactobacilli

AIMS: To identify strains of Cheddar cheese nonstarter lactobacilli that synthesize succinate from common precursors and characterize the biochemical pathways utilized. METHODS AND RESULTS: Whole cell incubations of Lactobacillus plantarum, Lactobacillus casei, Lactobacillus zeae and Lactobacillus rhamnosus, were used to identify strains that accumulated succinate from citrate, l-lactate, aspartic acid or isocitrate. In vivo 13C-nuclear magnetic resonance spectroscopy (13C-NMR) identified the biochemical pathway involved at pH 7.0, and under conditions more representative of the cheese ripening environment (pH 5.1/4% NaCl/13 degrees C). Enzyme assays on cell-free extracts were used to support the pathway suggested by 13C-NMR. CONCLUSIONS: The Lact. plantarum strains studied synthesize succinate from citrate by the reductive tricarboxylic acid (TCA) cycle at either pH 7.0 or pH 5.1/4% NaCl/13 degrees C. Lactobacillus casei, Lact. zeae and Lact. rhamnosus strains lack one or more enzymatic activities present in this pathway, and do not accumulate succinate from any of the four precursors studied. SIGNIFICANCE AND IMPACT OF THE STUDY: The addition of Lact. plantarum strains to milk during cheese manufacture may increase the accumulation of the flavour enhancer succinate.     

Identification of microorganisms by FTIR spectroscopy: perspectives and limitations of the method

Fourier transform infrared (FTIR) spectroscopy was introduced in 1991 as a technique to identify and classify microbes. Since then, it has gained growing interest and has undergone a remarkable evolution. Highly sophisticated spectrometers have been developed, enabling a high sample throughput. Today, the generation of high-quality data in a short time and the application of the technique for rapid and reliable identification of microbes to the species level are well documented. What makes FTIR spectroscopy even more attractive is the fact that spectral information can also be exploited for strain typing purposes, which is particularly important for epidemiological analyses and some technological applications. Accordingly, in recent years, FTIR spectroscopy has been increasingly used for typing and classifying microorganisms below the species level. The intention of this review is to give an overview over current knowledge and strategies of using FTIR spectroscopy for species identification and to describe different approaches for strain typing.     

Efficient protoplast regeneration for some homofermentative lactobacilli and pediococci

Conditions for protoplast regeneration were examined for several strains of homofermentative lactobacilli and pediococci isolated from silage. Attempts to regenerate protoplasts using previously published agar regeneration media for lactobacilli were unsuccessful for most of the strains. Replacing or increasing colloidal substances in a medium containing raffinose and MgCl(2) as osmotic stabilizers enabled efficient regeneration of the protoplasts at a frequency of 10-99%. A medium containing gelatin, polyvinylpyrrolidone (PVP) and no agar was effective for Lactobacillus plantarum, Lactobacillus pentosus and Lactobacillus rhamnosus protoplasts. An agar medium containing PVP (PVP medium) was effective for Pediococcus sp. protoplasts, and addition of agarose to the PVP medium enabled regeneration of Lactobacillus casei protoplasts. A medium containing calcium alginate gel and no agar was effective for Lactobacillus curvatus protoplasts. The type of colloidal substance required for protoplast regeneration varied from species to species. This result suggested that several kinds of media may be necessary to regenerate protoplasts for all the genera of lactobacilli and pediococci.