Whole-organism fingerprinting of the genus Carnobacterium using Fourier transform infrared spectroscopy (FT-IR)

Sixty seven strains of Carnobacterium, atypical Lactobacillus, Enterococcus durans, Lactobacillus maltaromicus and Vagacoccus salmoninarum were examined by Fourier transform infrared (FT-IR) spectroscopy. The effects of culture age and reproducibility over a six month period were also investigated. The results were analysed by multivariate statistics and compared with those from a previous numerical phenetic study, a pyrolysis mass spectrometry (PyMS) study and with investigations which used DNA-DNA and 16S rRNA sequencing homologies. Taxonomic correlations were observed between the FT-IR data and these studies. Culture age was observed to have little effect on the spectra obtained. The reproducibility study indicated that there was correlation between spectra produced on two occasions over the six month period. It was concluded that FTIR is a reliable method for investigating carnobacterial classification, and may have further potential as a rapid method for use in Carnobacterium identification.     

Fourier transform infrared spectroscopy as a new tool for characterization of mollicutes

Fourier transform infrared (FT-IR) spectroscopy is a convenient physico-chemical technique to investigate various cell materials. Bacteria of class Mollicutes, identified by conventional methods, as Mycoplasma, Acholeplasma and Ureaplasma genera were characterized using this method. A data set of 74 independent experiments corresponding to fourteen reference strains of Mollicutes was examined by FT-IR spectroscopy to attempt a spectral characterization based on the biomolecular structures. In addition to the separation of Mollicutes within the lipidic region into five main clusters corresponding to the three phylogenetic groups tested, FT-IR spectroscopy allowed a fine discrimination between strains belonging to the same species by using selective spectral windows, particularly in the 1200-900 cm(-1) saccharide range. The results obtained by FT-IR were in good agreement with both taxonomic and phylogenetic classifications of tested strains. Thus, this technique appears to be a useful tool and an accurate mean for a rapid characterization of Mollicutes observed in humans.     

Fourier transform infrared (FTIR) spectroscopy for identifying Lactobacillus species

Abstract Fourier Transform infrared (FTIR) spectroscopy can be used to identify microorganisms. This study describes the influence of culture conditions on FTIR spectra and the discrimination of Lactobacillus species found in breweries. Fifty three Lactobacillus strains were analysed by FTIR spectroscopy and identification at the species level was correct for 94% of the strains, and at the strain level for 91% of the strains.     

Discrimination of enterobacterial repetitive intergenic consensus PCR types of Campylobacter coli and Campylobacter jejuni by Fourier transform infrared spectroscopy

Fourier transform infrared spectroscopy (FT-IR) has been used together with pattern recognition methodology to study isolates belonging to the species Campylobacter coli and Campylobacter jejuni and to compare FT-IR typing schemes with established genomic profiles based on enterobacterial repetitive intergenic consensus PCR (ERIC-PCR). Seventeen isolates were cultivated under standardized conditions for 2, 3, and 4 days to study variability and improve reproducibility. ERIC-PCR profiles and FT-IR spectra were obtained from strains belonging to the species Campylobacter coli and C. jejuni, normalized, and explored by hierarchical clustering and stepwise discriminant analysis. Strains could be differentiated by using mainly the first-derivative FT-IR spectral range, 1,200 to 900 cm(-1) (described as the carbohydrate region). The reproducibility index varied depending on the ages of the cultures and on the spectral ranges investigated. Classification obtained by FT-IR spectroscopy provided valuable taxonomic information and was mostly in agreement with data from the genotypic method, ERIC-PCR. The classification functions obtained from the discriminant analysis allowed the identification of 98.72% of isolates from the validation set. FT-IR can serve as a valuable tool in the classification, identification, and typing of thermophilic Campylobacter isolates, and a number of types can be differentiated by means of FT-IR spectroscopy.     

FT-IR Spectroscopy and Artificial Neural Network Identification of Fusarium Species

A rapid spectroscopic approach for whole‐organism fingerprinting of Fourier transform infrared (FT‐IR) spectroscopy was used to analyse 16 isolates from five closely related species of Fusarium: F. graminearum, F. moniliforme, F. nivale, F. semitectum and F. oxysporum. Principal components analysis and hierarchical cluster analysis were used to study the clusters in the data. On visual inspection of the clusters from both methods, the spectra were not differentiated into five separate clusters corresponding to species and these unsupervised methods failed to identify these fungal strains. When the data were trained by back propagation algorithm of artificial neural networks (ANNs) with principal components scores of spectra used as input modes, the strains were accurately predicted and recognized. The results in this study show that FT‐IR spectroscopy in combination with principal component artificial neural networks (PC‐ANNs) is well suited for identifying Fusarium spp. It would be advantageous to establish a comprehensive database of taxonomically well‐defined Fusarium species to aid the identification of unknown strains.     

Species-specific oligonucleotide probes for the detection and identification of Lactobacillus isolated from mouse faeces

AIMS: To develop species-specific monitoring techniques for rapid detection and identification of Lactobacillus isolated from mouse faeces. METHODS AND RESULTS: The specificity of oligonucleotide probes was evaluated by dot blot hybridization to 16S rDNA and 23S rDNA amplified by PCR from 12 Lactobacillus type strains and 100 strains of Lactobacillus isolated from mouse faeces. Oligonucleotide probes specific for each Lactobacillus species hybridized only with targeted rDNA. The Lactobacillus strains isolated from mouse faeces were identified mainly as Lactobacillus intestinalis, L. johnsonii, L. murinus and L. reuteri using species-specific probes. 16S rDNA of eight unidentified isolates were sequenced and two new probes were designed. Four of eight strains of unhybridized Lactobacillus were identified as L. johnsonii/gasseri group, and the remaining four strains as L. vaginalis. CONCLUSIONS: The species-specific probe set of L. intestinalis, L. johnsonii, L. murinus, L. reuteri and L. vaginalis in this study was efficient for rapid identification of Lactobacillus isolated from mouse faeces. SIGNIFICANCE AND IMPACT OF THE STUDY: The oligonucleotide probe set for Lactobacillus species harboured in the mouse intestine, can be used for rapid identification of lactobacilli and monitoring of the faecal Lactobacillus community.     

Biodiversity of Lactobacillus sanfranciscensis strains isolated from five sourdoughs

AIMS: Five different sourdoughs were investigated for the composition of lactic acid bacteria (LAB) and the biodiversity of Lactobacillus sanfranciscensis strains. METHODS AND RESULTS: A total of 57 strains were isolated from five sourdoughs. Isolated strains were all identified by the 16S rDNA sequence and species-specific primers for L. sanfranciscensis. Results of identification showed that LAB strains were L. sanfranciscensis, Lactobacillus plantarum, Lactobacillus paralimentarius, Lactobacillus fermentum, Lactobacillus pontis, Lactobacillus casei, Weisella confusa and Pediococcus pentosaceus. A total of 21 strains were identified as L. sanfranciscensis and these isolates were detected in all five sourdoughs. Ribotyping was applied to investigate the relationship between intraspecies diversity of L. sanfranciscensis and sourdough. A total of 22 strains of L. sanfranciscensis including L. sanfranciscensis JCM 5668T were compared by ribotyping. The dendrogram of 21 ribotyping patterns showed four clusters, and L. sanfranciscensis JCM 5668T was independent of the others. The different biotypes of L. sanfranciscensis were present in two sourdoughs compared with other three sourdoughs. CONCLUSIONS: The LAB compositions of five sourdoughs were different and the relationship between intraspecies diversity of L. sanfranciscensis strains and five sourdoughs was shown by ribotyping. SIGNIFICANCE AND IMPACT OF THE STUDY: This study demonstrated that ribotyping was useful for distinguishing L. sanfranciscensis strains. A further important result is that the intra-species diversity of L. sanfranciscensis strains seems to be related to the sourdough preparation.     

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.     

Detection and identification of Lactobacillus species in crops of broilers of different ages by using PCR-denaturing gradient gel electrophoresis and amplified ribosomal DNA restriction analysis

The microflora of the crop was investigated throughout the broiler production period (0 to 42 days) using PCR combined with denaturing gradient gel electrophoresis (PCR-DGGE) and selective bacteriological culture of lactobacilli followed by amplified ribosomal DNA restriction analysis (ARDRA). The birds were raised under conditions similar to those used in commercial broiler production. Lactobacilli predominated and attained populations of 10(8) to 10(9) CFU per gram of crop contents. Many of the lactobacilli present in the crop (61.9% of isolates) belonged to species of the Lactobacillus acidophilus group and could not be differentiated by PCR-DGGE. A rapid and simple ARDRA method was developed to distinguish between the members of the L. acidophilus group. HaeIII-ARDRA was used for preliminary identification of isolates in the L. acidophilus group and to identify Lactobacillus reuteri and Lactobacillus salivarius. MseI-ARDRA generated unique patterns for all species of the L. acidophilus group, identifying Lactobacillus crispatus, Lactobacillus johnsonii, and Lactobacillus gallinarum among crop isolates. The results of our study provide comprehensive knowledge of the Lactobacillus microflora in the crops of birds of different ages using nucleic acid-based methods of detection and identification based on current taxonomic criteria.     

Identification of Lactobacillus sakei and Lactobacillus curvatus by multiplex PCR-based restriction enzyme analysis

Two closely related lactic acid bacteria, Lactobacillus sakei and Lactobacillus curvatus, are very difficult to be rapidly differentiated. Here we report multiplex polymerase chain reaction (PCR)-based restriction enzyme analysis that is useful for rapid and reliable identification of these two species. This method employs both polymerase chain reaction (PCR) and restriction enzyme analysis (REA). First, multiplex-PCR using three primers that were designed from 16S rDNA sequence produces two bands, a 433-bp and a 623-bp band. A 433-bp band represents only L. sakei and L. curvatus among lactobacilli and genetically related bacteria, and a 623-bp band is used for further identification by restriction analysis. Second, restriction analysis of 623-bp band using Hind III restriction enzyme discriminates L. sakei from L. curvatus. This method could identify 28 strains as L. sakei or L. curvatus, which were frequently isolated from kimchi, a traditional fermented cabbage product in South Korea. Therefore, these results suggest that this method is simple, rapid, and reliable for the identification of L. sakei and L. curvatus 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。     

(GTG)<Subscript>5</Subscript>-PCR fingerprinting of lactobacilli isolated from cervix of healthy women

A group of lactobacilli isolated from the cervix of 31 healthy women was characterized by (GTG)₅-polymerase chain reaction (PCR) fingerprinting in order to evaluate this method for identification of vaginal lactobacilli. Obtained fingerprints were compared with profiles available in an in-house database of the CCM bacteria collection covering type and reference strains of multiple lactic acid bacteria including lactobacilli. Selected strains representing individual clusters were further identified by pheS gene sequencing. In total, six lactobacillus species were found among lactobacilli isolated from the cervix of healthy women. The (GTG)₅-PCR method identified Lactobacillus gasseri (11 strains), Lactobacillus fermentum (one), and some of the Lactobacillus jensenii strains (eight out of 11), but failed to identify the remaining strains, including the Lactobacillus crispatus (18), Lactobacillus mucosae (one), and Lactobacillus vaginalis (one) species. L. jensenii strains were distributed over two fingerprint clusters. The majority of samples was dominated by one (GTG)₅-PCR type. The rep-PCR fingerprinting using the (GTG)₅ primer allowed straightforward identification of many, but not all, isolates. This method has been shown to be a useful tool for fast screening and grouping of vaginal lactobacilli, but its combination with another identification method is needed to obtain reliable identification results. In addition, Lactobacillus acidophilus was not shown to be the most common inhabitant of the female genital tract as generally assumed.     

Detection and identification of Legionella pneumophila by PCR-restriction fragment length polymorphism analysis of the RNA polymerase gene (rpoB)

The partial RNA polymerase beta-subunit coding gene (rpoB) sequences of 38 Legionella species (59 reference strains) were used to select both Legionella genus-specific and Legionella pneumophila species-specific primers to amplify the 347-bp and 217-bp DNAs, respectively. Enzyme restriction sites for PCR-restriction fragment length polymorphism (PCR-RFLP) analysis were also generated by a computer program. Thirty-eight Legionella species were well differentiated by the identification scheme for Legionella genus-specific PCR-RFLP using HaeIII, AluI, CfoI, PstI, and MaeII. The most common and important pathogenic species, L. pneumophila, was differentiated into two subspecies (L. pneumophila subsp. pneumophila and L. pneumophila subsp. fraseri) by both Legionella genus-specific PCR-RFLP and L. pneumophila species-specific PCR-RFLP using BamHI. Eighty-two Korean culture isolates could also be easily identified by both PCR-RFLP methods as 68 strains of L. pneumophila subsp. pneumophila, 11 strains of L. pneumophila subsp. fraseri, and three novel strains that were separately confirmed by 16S rDNA and rpoB sequence analysis. These results suggest that the rpoB PCR-RFLP for Legionella is a simple and convenient method, not only for specific detection, but also for the rapid identification of Legionella species.     

Intraspecies discrimination of Lactobacillus paraplantarum by PCR

Lactobacillus paraplantarum is a species phenotypically close to Lactobacillus plantarum. Several PCR methods were evaluated to discriminate L. paraplantarum strains and among them, a PCR using an enterobacterial repetitive intergenic consensus (ERIC) sequence differentiated L. paraplantarum from other Lactobacillus species. In addition, a combination of ERIC and random amplified polymorphic DNA (RAPD) analysis distinguished among seven strains of L. paraplantarum tested. ERIC-PCR profiles showed several strain-specific DNA fragments in L. paraplantarum, among them, a 2.2-kb ERIC marker, termed LpF1, found to be specific to strain FBA1, which improved the skin integrity in an animal model. The LpF1 encodes three proteins similar to Lactobacillus fermentum AroA, TyrA, and AroK, which are involved in the shikimate pathway. A primer pair specific to FBA1 based on the internal sequence of LpF1 amplified a 950-bp FBA1-specific fragment LpF2. Southern blot analysis of Dra I-digested genomic DNA of L. paraplantarum strains using LpF2 as a probe showed that LpF2 is distinctive of strain FBA1 among 16 L. paraplantarum strains. Because both ERIC- and RAPD-PCR are fast and technically simple methods, they are useful for the rapid discrimination of L. paraplantarum strains and for the development of new strain-specific DNA markers for identifying industrially important strains.     

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.     

Genotypic analyses of lactobacilli with a range of tannase activities isolated from human feces and fermented foods

A total of 77 tannase producing lactobacilli strains isolated from human feces or fermented foods were examined for their genotypic profiles and intensities of tannase production. With a PCR-based assay targeting recA gene, all strains except one isolate were assigned to either Lactobacillus plantarum, L. paraplantarum, or L. pentosus whereas a 16/23S rDNA targeted PCR-based assay identified all except 6 isolates (inclusive of the above one isolate) as one of the closely related species. Subsequent DNA/DNA hybridization assays revealed that these 6 exceptional isolates showed low homology (between 1.2% and 55.8% relative DNA binding) against type strains of the three species. Supplemental carbohydrate fermentation profiles on the 6 isolates indicated that two of them were identified as L. acidophilus, one as Pediococcus acidilactici, one as P. pentosaceus, and two remained unidentifiable. The evidence suggests that the 16/23S rDNA targeted PCR assay can be used as a reliable identification tool for the closely related lactobacilli, and that the tannase gene is widely distributed within members of the Lactobacillaceae family. Meanwhile, a randomly amplified polymorphism DNA (RAPD) analysis revealed that all except 8 isolates were well allocated in 4 major RAPD clusters, though not species specific, consisting of two L. plantarum predominant clusters, one L. paraplantarum predominant, and one L. pentosus predominant. The RAPD patterns of the 8 non-clustered isolates, which consisted of the 6 unidentifiable isolates and 2 isolates identified as L. pentosus, were <40% similarity to those belonging to the 4 clusters. A quantitative assay of the tannase activities showed that there was a marked variation in the activities among the strains, which did not correlate with either species identification or clustering by RAPD.     

Analysis of covariance patterns in gene expression data and FT-IR spectra

The aim of this study was to detect and interpret correlation patterns in several large data matrices from the same biological system using Partial Least Squares Regression (PLSR) in order to get information on the system under investigation. To do this, DNA microarray data and Fourier Transform Infrared (FT-IR) spectra from a designed study where Campylobacter jejuni was exposed to environmental stress conditions, were used. The experimental design included variation in atmospheric conditions, temperature and time. PLSR was first used to analyse each of the two data types separately in order to explore the effect of the experimental parameters on the data. The results showed that both the gene expression and FT-IR spectra were affected by the variations in atmosphere, temperature and time, but that the effect was different for the two types of data. When the DNA microarray data and FT-IR spectra were linked together by PLSR, covariation due to temperature was seen. Both specific genes and ranges in the FT-IR spectra that were connected to the variation in temperature were detected. Some of these are possibly connected to properties of the cell wall of the bacteria. The results in this study show the potential of PLSR for investigation of covariance structures in biological data. By doing this, valuable information about the biological system can be detected and interpreted. It was also shown that the use of FT-IR spectroscopy provided important information about the stress responses in the bacteria, information that was not detected from the DNA microarray data.     

利用RAPD技术对木耳属菌株进行分类鉴定的研究

利用ＲＡＰＤ技术对木耳属不同种和种内不同菌株进行了分子鉴定。结果表明,在供试的２６个随机引物中,有１０个引物可扩增出清晰、稳定的ＤＮＡ带型,其中引物Ｓ４和Ｓ６与供试木耳属菌株的基因组ＤＮＡ结合位点少而保守,扩增图谱具有种的特异性,可用于种的快速准确鉴定;其综随机引物的扩增ＤＮＡ多态性较强,可用于种内不同菌株的鉴定;聚类分析表明,在７５％相似水平下,可将供试的木耳属菌株分成四大类,其中有三大类各代表一个形态鉴定的种。研究结果表明了ＲＡＰＤ技术可有效地用于木耳属种或菌株的快速准确鉴定。     

Taxonomic status of atypicalLactobacillus saké andLactobacillus curvatus strains associated with vacuum-packaged meat spoilage

The taxonomic status of nine typical and atypicalLactobacillus saké andLactobacillus curvatus strains associated with vacuum-packaged meat spoilage was investigated by DNA-DNA homology and compared with four alternative identification methods. Phenotype-based identification methods as well as 23S rRNA targeted probes produced ambiguous results in the case of atypical strains. DNA-DNA hybridization indicated homologies of 63–78% between typical strains and the corresponding type strain, whereas values ranged from 38% to 54% for atypical strains. This apparent spectrum of relatedness observed was ascribed to the recent phylogenetic divergence of the two species. Atypical strains should, therefore, be designated as such and not assigned to particular species based on results of identification methods other than DNA-DNA hybridization.     

应用特异PCR快速鉴定微生物肥料中4种乳酸菌

【目的】植物乳杆菌(Lactobacillus plantarum)、鼠李糖乳杆菌(L.rhamnosus)、嗜酸乳杆菌(L.acidophilus)和德氏乳杆菌(L.delbrueckii)是微生物肥料生产中常用的乳酸菌,它们表型特征相似,若采用传统方法鉴定则费时费力,为准确、快速地鉴定这些种,建立种特异PCR方法。【方法】利用NCBI中Primer-BLAST(引物设计和特异性检验工具),以GenBank数据库中上述菌种的recA和gyrB为靶基因,设计和筛选种特异性引物从而建立相应特异PCR鉴定方法。【结果】经过乳杆菌属(Lactobacillus)、乳球菌属(Lactococcus)、片球菌属(Pediococcus)、芽孢杆菌属(Bacillus)、类芽孢杆菌属(Paenibacillus)、短芽孢杆菌属(Brevibacillus)和假单胞菌属(Pseudomonas)7个属24个种共40株标准菌株的实验验证,4个目标种分别扩增出唯一的目的产物,而其他种均无目的扩增产物。采用建立的4种特异PCR方法对产品中分离的16株乳杆菌进行鉴定,结果与16S rDNA序列分析、Biolog鉴定结果一致。【结论】建立的特异PCR鉴定方法均具有较高的种内通用性和种间特异性,可快速、准确的用于微生物制剂中植物乳杆菌、德氏乳杆菌、鼠李糖乳杆菌、嗜酸乳杆菌的检测和鉴定,具有较好的应用前景。