Comparison of 16S rRNA sequencing with conventional and commercial phenotypic techniques for identification of enterococci from the marine environment

AIMS: To compare accuracy of genus and species level identification of presumptive enterococci isolates from the marine environment using conventional biochemical testing, four commercial identification systems and 16S rRNA sequence analysis. METHODS AND RESULTS: Ninety-seven environmental bacterial isolates identified as presumptive enterococci on mEI media were tested using conventional and Enterococcus genus screen biochemical tests, four commercial testing systems and 16S rRNA sequencing. Conventional and Enterococcus genus screen biochemical testing, 16S rRNA sequencing and two commercial test systems achieved an accuracy of > or = 94% for Enterococcus genus confirmation. Conventional biochemical testing and 16S rRNA sequencing achieved an accuracy of > or = 90% for species level identification. CONCLUSIONS: For confirmation of Enterococcus genus from mEI media, conventional or genus screen biochemical testing, 16S rRNA sequencing and the four commercial systems were correct 79-100% of the time. For speciation to an accuracy of 90% or better, either conventional biochemical testing or 16S rRNA sequencing is required. SIGNIFICANCE AND IMPACT OF THE STUDY: Accurate identification of presumptive environmental Enterococcus isolates to genus and species level is an integral part of laboratory quality assurance and further characterization of Enterococcus species from pollution incidents. This investigation determines the ability of six different methods to correctly identify environmental isolates.     

Phylogenetic characterization of a new thermoacidophilic bacterium isolated from hot springs in Japan

Three strains of thermophilic-acidophilic bacteria isolated previously from different hot springs in Japan were characterized by molecular genetic methods. The strategy taken involved PCR amplification, sequencing and restriction pattern analysis of 16S rDNA, 16S-23S rDNA spacer polymorphism analysis and genomic DNA-DNA hybridization. A phylogenetic analysis based on 16S rDNA sequences showed that the new thermoacidophilic isolates formed a genetically coherent group at the species level and fell into a major cluster together with members of the genera Alicyclobacillus and Sulfobacillus with A. acidocaldarius and A. acidoterrestris as their closest relatives. The levels of binary sequence similarity between the isolates and the two Alicyclobacillus species were 97.6 to 97.9%, values considered low enough to warrant placement of the isolates in a distinct species of the genus Alicyclobacillus. The 16S rDNA restriction pattern analysis, but not 16S-23S rDNA spacer polymorphism analysis, was useful for differentiating the isolates from the established Alicyclobacillus species. DNA-DNA hybridization assays demonstrated a distinct phylogenetic position of our isolates as a genospecies within the genus Alicyclobacillus. On the basis of these results, the thermoacidophilic isolates should be classified into a new species of Alicyclobacillus. The results of this study suggest that this new genospecies of Alicyclobacillus is widely distributed in hot springs in Japan.     

Species identification of clinically important Aeromonas spp. by restriction fragment length polymorphism of 16S rDNA

AIMS: The aim of the study was to characterize 16S rDNA of Aeromonas spp. to rapidly identify clinically important species of these bacteria. METHODS AND RESULTS: Sequence analysis of published 16S rDNA for unique restriction sites revealed prospect of species identification. Extraction of genomic DNA followed by amplification and step-by-step restriction endonuclease digestion of 16S rDNA was able to identify Aeromonas spp. of medical significance. Validation of the method was performed by subjecting 53 Aeromonas strains of multiple origin to similar treatment. Results of the study were in agreement with corresponding species of the isolates. CONCLUSIONS: The method developed offers an easily interpretable tool for the identification of Aeromonas spp. of clinical relevance. SIGNIFICANCE AND IMPACT OF THE STUDY: The developed methodology should facilitate routine laboratory diagnosis of Aeromonas spp. from clinical cases to species level.     

Comparison of the Biolog OmniLog Identification System and 16S ribosomal RNA gene sequencing for accuracy in identification of atypical bacteria of clinical origin

The Biolog OmniLog Identification System (Biolog) and the 16S ribosomal RNA (rRNA) gene sequencing methods were compared to conventional microbiological methods and evaluated for accuracy of bacterial identification. These methods were evaluated using 159 clinical isolates. Each isolate was initially identified by conventional biochemical tests and morphological characteristics and subsequently placed into one of seven categories: aerobic Actinomycetes, Bacillus, Coryneforms, fastidious Gram-negative rods (GNR), non-fermenting GNR, miscellaneous Gram-positive rods (GPR), and Vibrio/Aeromonas. After comparison to the conventional identification, the Biolog system and 16S rRNA gene sequence identifications were classified as follows: a) correct to the genus and species levels; b) correct to the genus level only; or c) neither (unacceptable) identification. Overall, 16S rRNA gene sequencing had the highest percent accuracy with 90.6% correct identifications, while the Biolog system identified 68.3% of the isolates correctly. For each category, 16S rRNA gene sequencing had a substantially higher percent accuracy compared to the conventional methods. It was determined that the Biolog system is deficient when identifying organisms in the fastidious GNR category (20.0%). The observed data suggest that 16S rRNA gene sequencing provides a more accurate identification of atypical bacteria than the Biolog system.     

Microbial Contaminants of Cord Blood Units Identified by 16S rRNA Sequencing and by API Test System,and Antibiotic Sensitivity Profiling

Over a period of ten months a total of 5618 cord blood units (CBU) were screened for microbial contamination under routine conditions. The antibiotic resistance profile for all isolates was also examined using ATB strips. The detection rate for culture positive units was 7.5%, corresponding to 422 samples.16S rRNA sequence analysis and identification with API test system were used to identify the culturable aerobic, microaerophilic and anaerobic bacteria from CBUs. From these samples we recovered 485 isolates (84 operational taxonomic units, OTUs) assigned to the classes Bacteroidia, Actinobacteria, Clostridia, Bacilli, Betaproteobacteria and primarily to the Gammaproteobacteria. Sixty-nine OTUs, corresponding to 447 isolates, showed 16S rRNA sequence similarities above 99.0% with known cultured bacteria. However, 14 OTUs had 16S rRNA sequence similarities between 95 and 99% in support of genus level identification and one OTU with 16S rRNA sequence similarity of 90.3% supporting a family level identification only. The phenotypic identification formed 29 OTUs that could be identified to the species level and 9 OTUs that could be identified to the genus level by API test system. We failed to obtain identification for 14 OTUs, while 32 OTUs comprised organisms producing mixed identifications. Forty-two OTUs covered species not included in the API system databases. The API test system Rapid ID 32 Strep and Rapid ID 32 E showed the highest proportion of identifications to the species level, the lowest ratio of unidentified results and the highest agreement to the results of 16S rRNA assignments. Isolates affiliated to the Bacilli and Bacteroidia showed the highest antibiotic multi-resistance indices and microorganisms of the Clostridia displayed the most antibiotic sensitive phenotypes.     

Suitability of partial 16S ribosomal RNA gene sequence analysis for the identification of dangerous bacterial pathogens

AIMS: In a bioterrorism event a rapid tool is needed to identify relevant dangerous bacteria. The aim of the study was to assess the usefulness of partial 16S rRNA gene sequence analysis and the suitability of diverse databases for identifying dangerous bacterial pathogens. METHODS AND RESULTS: For rapid identification purposes a 500-bp fragment of the 16S rRNA gene of 28 isolates comprising Bacillus anthracis, Brucella melitensis, Burkholderia mallei, Burkholderia pseudomallei, Francisella tularensis, Yersinia pestis, and eight genus-related and unrelated control strains was amplified and sequenced. The obtained sequence data were submitted to three public and two commercial sequence databases for species identification. The most frequent reason for incorrect identification was the lack of the respective 16S rRNA gene sequences in the database. CONCLUSIONS: Sequence analysis of a 500-bp 16S rDNA fragment allows the rapid identification of dangerous bacterial species. However, for discrimination of closely related species sequencing of the entire 16S rRNA gene, additional sequencing of the 23S rRNA gene or sequencing of the 16S-23S rRNA intergenic spacer is essential. SIGNIFICANCE AND IMPACT OF THE STUDY: This work provides comprehensive information on the suitability of partial 16S rDNA analysis and diverse databases for rapid and accurate identification of dangerous bacterial pathogens.     

Phenotypic characterization of Astragalus glycyphyllos symbionts and their phylogeny based on the 16S rDNA sequences and RFLP of 16S rRNA gene

In this study, the nitrogen fixing Astragalus glycyphyllos symbionts were characterized by phenotypic properties, restriction fragment length polymorphism (RFLP), and sequences of 16S rDNA. The generation time of A. glycyphyllos rhizobia in yeast extract mannitol medium was in the range 4–6 h. The studied isolates exhibited a low resistance to antibiotics, a moderate tolerance to NaCl, assimilated di- and trisaccharides, and produced acid in medium containing mannitol as a sole carbon source. In the cluster analysis, based on 86 phenotypic properties of A. glycyphyllos symbionts and the reference rhizobia, examined isolates and the genus Mesorhizobium strains were placed on a single branch, clearly distinct from other lineages of rhizobial genera. By the comparative analysis of 16S rRNA gene sequences and 16S rDNA–RFLP, A. glycyphyllos nodulators were also identified as the members of the genus Mesorhizobium. On the 16S rDNA sequence phylogram, the representatives of A. glycyphyllos nodule isolates formed a robust, monophyletic cluster together with the Mesorhizobium species at 16S rDNA sequence similarity of these bacteria between 95 and 99 %. Similarly, the cluster analysis of the combined RFLP–16S rDNA patterns, obtained with seven restriction endonucleases, showed that A. glycyphyllos rhizobia are closely related to the genus Mesorhizobium bacteria. The taxonomic approaches used in this paper allowed us to classify the studied bacteria into the genus Mesorhizobium.     

High resolution melt analysis to track infections due to ribotype 027 Clostridium difficile

The increased prevalence of hypervirulent ribotype 027 Clostridium difficile requires rapid identification of isolates in order to implement timely infection control strategies. High resolution melt (HRM) analysis of PCR products can identify strain variation amongst genera of bacteria. The intergenic (16S-23S rDNA) spacer region contains sequence regions conserved within genera and other sequence region variables between species within genera. We wished to investigate whether HRM analysis of PCR ribotyping products could identify ribotype 027 C. difficile. Ribotyping was performed on 93 clinical isolates and five control strains and band patterns were analysed using GelCompar II (Applied Maths, USA). Real-time PCR using ribotyping primers was performed and normalised melt curves were generated. The HRM data was then imported into ScreenClust software (QIAGEN) to generate principal component analysis graphs depicting clustered relationships of strains. Ribotyping produced clear PCR bands for 88/98 isolates tested. Dendrograms generated by GelCompar showed a diversity of ribotype patterns amongst these 88 isolates with 18 groups identified with 70% homology. One clinical isolate showed 100% homology with the control 027 strains. ScreenClust analysis of the same 88 HRM results showed clustering of isolates, with 027 strains identifiable as a unique cluster. HRM analysis correctly identified the control 027 stains and the clinical isolate shown to be 027. HRM combined with ScreenClust analysis of real-time PCR products of the 16S-23S rDNA spacer region successfully identified ribotype 027 strains. For infection control purposes this was achieved within 2-3 h of colony isolation.     

A unique DNA repair and recombination gene (recN) sequence for identification and intraspecific molecular typing of bacterial wilt pathogen Ralstonia solanacearum and its comparative analysis with ribosomal DNA sequences

Ribosomal gene sequences are a popular choice for identification of bacterial species and, often, for making phylogenetic interpretations. Although very popular, the sequences of 16S rDNA and 16-23S intergenic sequences often fail to differentiate closely related species of bacteria. The availability of complete genome sequences of bacteria, in the recent years, has accelerated the search for new genome targets for phylogenetic interpretations. The recently published full genome data of nine strains of R. solanacearum, which causes bacterial wilt of crop plants, has provided enormous genomic choices for phylogenetic analysis in this globally important plant pathogen. We have compared a gene candidate recN, which codes for DNA repair and recombination function, with 16S rDNA/16-23S intergenic ribosomal gene sequences for identification and intraspecific phylogenetic interpretations in R. solanacearum. recN gene sequence analysis of R. solanacearum revealed subgroups within phylotypes (or newly proposed species within plant pathogenic genus, Ralstonia), indicating its usefulness for intraspecific genotyping. The taxonomic discriminatory power of recN gene sequence was found to be superior to ribosomal DNA sequences. In all, the recN-sequence-based phylogenetic tree generated with the Bayesian model depicted 21 haplotypes against 15 and 13 haplotypes obtained with 16S rDNA and 16-23S rDNA intergenic sequences, respectively. Besides this, we have observed high percentage of polymorphic sites (S 23.04%), high rate of mutations (Eta 276) and high codon bias index (CBI 0.60), which makes the recN an ideal gene candidate for intraspecific molecular typing of this important plant pathogen.     

Comparison of 16S rRNA sequencing with biochemical testing for species-level identification of clinical isolates of Neisseria spp.

We aimed to compare accuracy of genus and species level identification of Neisseria spp. using biochemical testing and 16S rRNA sequence analysis. These methods were evaluated using 85 Neisseria spp. clinical isolates initially identified to the genus level by conventional biochemical tests and API NH system (Bio-Mérieux^®). In 34 % (29/85), more than one possibility was given by 16S rRNA sequence analysis. In 6 % (5/85), one of the possibilities offered by 16S rRNA gene sequencing, agreed with the result given by biochemical testing. In 4 % (3/85), the same species was given by both methods. 16S rRNA gene sequencing results did not correlate well with biochemical tests.     

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%.     

Identification and differentiation of Lactobacillus, Streptococcus and Bifidobacterium species in fermented milk products with bifidobacteria

The aim of this study was to identify and discriminate bacteria contained in commercial fermented milks with bifidobacteria by the use of amplified ribosomal DNA restriction analysis (ARDRA) and randomly amplified polymorphic DNA (RAPD) techniques. ARDRA of the 16S rDNA gene and RAPD were performed on 13 Lactobacillus strains, 13 Streptococcus and 13 Bifidobacterium strains isolated from commercial fermented milk. Lactobacillus delbrueckii, Streptococcus thermophilus and Bifidobacterium animalis isolates were identified by genus- and species-PCR and also, they were differentiated at genus and species level by ARDRA using MwoI restriction enzyme. The ARDRA technique allowed for the discrimination among these three related genus with the use of only one restriction enzyme, since distinctive profiles were obtained for each genus. Therefore it can be a simple, rapid and useful method for routine identification. Also, RAPD technique allowed the discrimination of all bacteria contained in dairy products, at genus- and strain-level by the performance of one PCR reaction.     

Occurrence and diversity of mesophilic Shewanella strains isolated from the North-West Pacific Ocean

Although bacteria of the genus Shewanella belong to one of the readily cultivable groups of "Gammaproteobacteria", little is known about the occurrence and abundance of these microorganisms in the marine ecosystem. Studies revealed that of 654 isolates obtained from marine invertebrates (ophiuroid Amphiopholis kochii, sipuncula Phascolosoma japonicum, and holothurian Apostichopus japonicus, Cucumaria japonica), seawater and sediments of the North-West Pacific Ocean (i.e. the Sea of Japan and Iturup Is, Kurile Islands), 10.7% belonged to the genus Shewanella. The proportion of viable Shewanella species varied from 4% to 20% depending on the source of isolation. From the isolation study, representative strains of different phenotypes (from seventy presumptive Shewanella strains) were selected for detailed characterization using phenotypic, chemotaxonomic, and phylogenetic testing. 16S rDNA sequence-based phylogenetic analysis confirmed the results of tentative identification and placed the majority of these strains within only a few species of the genus Shewanella with 98-99% of 16S rDNA sequences identity mainly with S. japonica and S. colwelliana, suggesting that the strains studied might belong to these species. Numerically dominant strains of S. japonica were metabolically active and produced proteinases (gelatinases, caseinases), lipases, amylases, agarases, and alginases. Shewanella strains studied demonstrated weak antimicrobial and antifungal activities that might be an indication of their passive role in the colonization on living and non-living surfaces.     

Impact of cultivation on characterisation of species composition of soil bacterial communities

The species composition of culturable bacteria in Scottish grassland soils was investigated using a combination of Biolog and 16S rDNA analysis for characterisation of isolates. The inclusion of a molecular approach allowed direct comparison of sequences from culturable bacteria with sequences obtained during analysis of DNA extracted directly from the same soil samples. Bacterial strains were isolated on Pseudomonas isolation agar (PIA), a selective medium, and on tryptone soya agar (TSA), a general laboratory medium. In total, 12 and 21 morphologically different bacterial cultures were isolated on PIA and TSA, respectively. Biolog and sequencing placed PIA isolates in the same taxonomic groups, the majority of cultures belonging to the Pseudomonas (sensu stricto) group. However, analysis of 16S rDNA sequences proved more efficient than Biolog for characterising TSA isolates due to limitations of the Microlog database for identifying environmental bacteria. In general, 16S rDNA sequences from TSA isolates showed high similarities to cultured species represented in sequence databases, although TSA-8 showed only 92.5% similarity to the nearest relative, Bacillus insolitus. In general, there was very little overlap between the culturable and uncultured bacterial communities, although two sequences, PIA-2 and TSA-13, showed >99% similarity to soil clones. A cloning step was included prior to sequence analysis of two isolates, TSA-5 and TSA-14, and analysis of several clones confirmed that these cultures comprised at least four and three sequence types, respectively. All isolate clones were most closely related to uncultured bacteria, with clone TSA-5.1 showing 99.8% similarity to a sequence amplified directly from the same soil sample. Interestingly, one clone, TSA-5.4, clustered within a novel group comprising only uncultured sequences. This group, which is associated with the novel, deep-branching Acidobacterium capsulatum lineage, also included clones isolated during direct analysis of the same soil and from a wide range of other sample types studied elsewhere. The study demonstrates the value of fine-scale molecular analysis for identification of laboratory isolates and indicates the culturability of approximately 1% of the total population but under a restricted range of media and cultivation conditions.     

High-density DNA probe arrays for identification of staphylococci to the species level

Rapid and accurate identification and speciation of staphylococci clinical isolates is important for predicting medical pathology. We evaluated the ability of a high-density DNA probe array based on 16S rDNA sequences to identify Staphylococcus species. Correct identification was observed for 185 out of the 201 strains (92%). Of the 33 tested species, the array was able to correctly identify 30 of them. The total time required for identification of 4 isolates was 5 h. Such a tool represents a powerful method for routine microbiological diagnostic as well as for epidemiological studies.     

Phylogenetic analysis of rhizosphere-associated beta-subclass proteobacterial ammonia oxidizers in a municipal wastewater treatment plant based on rhizoremediation technology

In wastewater treatment plants based on the rhizosphere zone (rhizoremediation technology), ammonia-oxidizing bacteria (AOB) play an important role in the removal of fixed nitrogen. However, the diversity of these bacteria in rhizoremediation wastewater treatment plants is largely unknown. We employed direct PCR amplification and cloning of 16S rRNA genes to determine the phylogenetic affiliation of AOB occurring in root and soil samples of a wastewater treatment plant (Merzdorf plant, Brandenburg, Germany). 16S rDNA clone libraries were screened by hybridization using an oligonucleotide probe specific for AOB of the beta subclass of proteobacteria. Comparative sequence analysis of all hybridization-positive clones revealed that the majority of rDNA sequences was affiliated to members of the genus Nitrosospira and formed a novel subcluster (SM cluster), whereas only three sequences were most closely related to Nitrosomonas species. Affiliation of the novel Nitrosospira-like sequences with those of isolates from soil and rhizosphere suggests that phylogenetic clusters reflect physiological differences between members of this genus.     

Coprobacillus catenaformis gen. nov., sp. nov., a new genus and species isolated from human feces

Three strains of Eubacterium-like isolates from human feces were characterized by biochemical tests and 16S rDNA analysis. The phenotypic characteristics of the three strains resembled those of the genus Collinsella transferred from the genus Eubacterium recently. However, Eubacterium-like strains were phylogenetically members of the Clostridium subphylum of gram-positive bacteria, and these showed a specific phylogenetic association with Clostridium ramosum and C. spiroforme. C. ramosum and C. spiroforme are gram-positive, anaerobic, spore-forming bacteria that belong to the genus Clostridium, and the G + C contents are 26.0 and 27.4 mol%, respectively. However, the three Eubacterium-like strains had G + C contents of 32.1 to 33.1 mol% and were non-spore-forming rods. Based on phenotypic characteristics, we can differentiate these species, and furthermore, a 16S rDNA sequence divergence of greater than 9% with a new related genus, Coprobacillus, is proposed for the three strains, with one species, Coprobacillus catenaformis. The type strain of C. catenaformis is JCM 10604T.     

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.     

CORE: a phylogenetically-curated 16S rDNA database of the core oral microbiome

Comparing bacterial 16S rDNA sequences to GenBank and other large public databases via BLAST often provides results of little use for identification and taxonomic assignment of the organisms of interest. The human microbiome, and in particular the oral microbiome, includes many taxa, and accurate identification of sequence data is essential for studies of these communities. For this purpose, a phylogenetically curated 16S rDNA database of the core oral microbiome, CORE, was developed. The goal was to include a comprehensive and minimally redundant representation of the bacteria that regularly reside in the human oral cavity with computationally robust classification at the level of species and genus. Clades of cultivated and uncultivated taxa were formed based on sequence analyses using multiple criteria, including maximum-likelihood-based topology and bootstrap support, genetic distance, and previous naming. A number of classification inconsistencies for previously named species, especially at the level of genus, were resolved. The performance of the CORE database for identifying clinical sequences was compared to that of three publicly available databases, GenBank nr/nt, RDP and HOMD, using a set of sequencing reads that had not been used in creation of the database. CORE offered improved performance compared to other public databases for identification of human oral bacterial 16S sequences by a number of criteria. In addition, the CORE database and phylogenetic tree provide a framework for measures of community divergence, and the focused size of the database offers advantages of efficiency for BLAST searching of large datasets. The CORE database is available as a searchable interface and for download at http://microbiome.osu.edu.     

Specific identification and targeted characterization of Bifidobacterium lactis from different environmental isolates by a combined multiplex-PCR approach

The species Bifidobacterium lactis, with its main representative strain Bb12 (DSM 10140), is a yoghurt isolate used as a probiotic strain and is commercially applied in different types of yoghurts and infant formulas. In order to ensure the genetic identity and safety of this bacterial isolate, species- and strain-specific molecular tools for genetic fingerprinting must be available to identify isolated bifidobacteria or lactic acid bacteria from, e.g., various clinical environments of relevance in medical microbiology. Two opposing rRNA gene-targeted primers have been developed for specific detection of this microorganism by PCR. The specificity of this approach was evaluated and verified with DNA samples isolated from single and mixed cultures of bifidobacteria and lactobacilli (48 isolates, including the type strains of 29 Bifidobacterium and 9 Lactobacillus species). Furthermore, we performed a Multiplex-PCR using oligonucleotide primers targeting a specific region of the 16S rRNA gene for the genus Bifidobacterium and a conserved eubacterial 16S rDNA sequence. The specificity and sensitivity of this detection with a pure culture of B. lactis were, respectively, 100 bacteria/ml after 25 cycles of PCR and 1 to 10 bacteria/ml after a 50-cycle nested-PCR approach.