Molecular monitoring of the intestinal flora by denaturing high performance liquid chromatography

Gut flora analysis is hampered by the complexity of the intestinal microbiota and by inherent limitations of culture-based approaches. Therefore, culture-independent molecular methods based upon 16S rRNA gene analysis were applied successfully for the analysis of complex microbial communities. However, generally accepted and validated profiling methods such as denaturing and temperature gradient gel electrophoresis (DGGE/TGGE) are still laborious and time consuming. Thus, we adapted the separation of amplified bacterial 16S rRNA gene fragments by denaturing high performance liquid chromatography (DHPLC) using the WAVE Microbial Analysis System as a rapid and convenient means to display complex intestinal bacterial communities and to monitor changes in the gut flora. The separation of 16S rRNA gene fragments amplified from reference strains representing main gut bacterial populations and from human stool samples revealed that DHPLC analysis effectively detects bacterial groups predominant in the human gut flora. The investigation of faecal samples from hospitalized patients before, during and after antibiotic therapy showed that PCR-based DHPLC can be used to monitor gut flora changes. Results from DHPLC analysis were comparable with DGGE profiles generated from the same samples, demonstrating that the adapted DHPLC protocol is well suited for the analysis of complex microbial communities.     

Direct identification of bacteria in clinical respiratory samples using fluorescent amplicon length analysis of 16S-23S rRNA spacer-region

We describe the development and application of a rapid and universal molecular technique for direct identification of multiple bacteria in clinical samples. Amplification of the 16S-23S rRNA spacer-region using universal primers led to fragment patterns distinct for different bacterial species and that were analyzed with fluorescent amplicon length analysis (FALA). 136 pure cultures of clinical isolates and 20 culture collection strains belonging to 22 different medically important species were used to create a primary database of fragments with sizes between 100 and 1000 bp. Subsequently, 127 respiratory samples were analyzed with culture-based techniques and via FALA of the 16S-23S rRNA spacer-region. Two DNA extraction methods were evaluated: Instagene (FALA-I) and Fastprept (FALA-P). Of the 127 samples, 26 culture-negative samples were also negative with FALA-P. Of 18 samples with growth of commensal oral flora, 10 gave a mixed oral flora pattern with FALA-P and 8 gave a negative result. For 54 samples with growth of a single bacterial species, FALA-P gave an identical result for 46. For 29 samples with growth of more than one bacterial species, identical results were obtained in 19 samples. False-negative results with FALA-P were mostly due to paucity (less than 10(3) CFU/ml) of bacteria (12 out of 18 false-negatives) or difficulties with homogenization of viscous samples (6 out of 18 false-negatives).With regard to identification of all significant pathogens of clinical samples tested, the sensitivity of FALA-P was 77% and its specificity was 100%. With FALA-I, the number of false-negative results was higher than with FALA-P due to less efficient extraction of DNA, particularly with Staphylococcal species. FALA-P allows rapid and direct identification of multiple species directly from clinical samples; pauci-cellular samples may give false-negative results.     

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.     

Detection of Bacterial 16S rRNA and Identification of Four Clinically Important Bacteria by Real-Time PCR

Within the paradigm of clinical infectious disease research, Acinetobacter baumannii, Escherichia coli, Klebsiella pneumoniae, and Pseudomonas aeruginosa represent the four most clinically relevant, and hence most extensively studied bacteria. Current culture-based methods for identifying these organisms are slow and cumbersome, and there is increasing need for more rapid and accurate molecular detection methods. Using bioinformatic tools, 962,279 bacterial 16S rRNA gene sequences were aligned, and regions of homology were selected to generate a set of real-time PCR primers that target 93.6% of all bacterial 16S rRNA sequences published to date. A set of four species-specific real-time PCR primer pairs were also designed, capable of detecting less than 100 genome copies of A. baumannii, E. coli, K. pneumoniae, and P. aeruginosa. All primers were tested for specificity in vitro against 50 species of Gram-positive and –negative bacteria. Additionally, the species-specific primers were tested against a panel of 200 clinical isolates of each species, randomly selected from a large repository of clinical isolates from diverse areas and sources. A comparison of culture and real-time PCR demonstrated 100% concordance. The primers were incorporated into a rapid assay capable of positive identification from plate or broth cultures in less than 90 minutes. Furthermore, our data demonstrate that current targets, such as the uidA gene in E.coli, are not suitable as species-specific genes due to sequence variation. The assay described herein is rapid, cost-effective and accurate, and can be easily incorporated into any research laboratory capable of real-time PCR.     

16S rDNA sequence diversity of a culture-accessible part of an anaerobic digestor bacterial community

A bacterial culture-based inventory with 16S rDNA identification of the isolates was carried out on an anaerobic digestor microbial ecosystem to compare to the 16S rDNA sequences directly retrieved from the ecosystem by a molecular inventory previously made in our laboratory. Twenty OTUs (Operational Taxonomic Units) belonging to five of the major bacterial groups were identified from 338 isolated colonies. The sequences of 13 of the 20 OTUs were not closely related to any hitherto published sequences (less than 96% sequence identity). Six OTUs out of 20 were found to have sequences similar to sequences of the molecular inventory. Despite the biases expected to be associated with the molecular and culture-based methods, the distribution of the isolated OTUs into the different bacterial phyla was similar to that of the molecular OTUs.     

Molecular Method for Detection of Total Coliforms in Drinking Water Samples

This work demonstrates the ability of a bacterial concentration and recovery procedure combined with three different PCR assays targeting the lacZ, wecG, and 16S rRNA genes, respectively, to detect the presence of total coliforms in 100-ml samples of potable water (presence/absence test). PCR assays were first compared to the culture-based Colilert and MI agar methods to determine their ability to detect 147 coliform strains representing 76 species of Enterobacteriaceae encountered in fecal and environmental settings. Results showed that 86 (58.5%) and 109 (74.1%) strains yielded a positive signal with Colilert and MI agar methods, respectively, whereas the lacZ, wecG, and 16S rRNA PCR assays detected 133 (90.5%), 111 (75.5%), and 146 (99.3%) of the 147 total coliform strains tested. These assays were then assessed by testing 122 well water samples collected in the Québec City region of Canada. Results showed that 97 (79.5%) of the samples tested by culture-based methods and 95 (77.9%), 82 (67.2%), and 98 (80.3%) of samples tested using PCR-based methods contained total coliforms, respectively. Consequently, despite the high genetic variability of the total coliform group, this study demonstrated that it is possible to use molecular assays to detect total coliforms in potable water: the 16S rRNA molecular assay was shown to be as efficient as recommended culture-based methods. This assay might be used in combination with an Escherichia coli molecular assay to assess drinking water quality.     

Identification of indicator microorganisms using a standardized PNA FISH method.

A standardized fluorescent in situ hybridization (FISH) method using Peptide Nucleic Acid (PNA) probes for analysis of gram-negative and gram-positive bacteria, as well as yeast, has been developed. Fluorescently labeled PNA probes targeting specific rRNA sequences of Escherichia coli, Pseudomonas aeruginosa, Staphyloccocus aureus, Salmonella were designed, as well as PNA probes targeting eubacteria and eucarya. These PNA probes were evaluated by PNA FISH using 27 bacterial and 1 yeast species, representing both phylogenetically closely related species, as well as species important to both clinical and industrial settings. The S. aureus and P. aeruginosa PNA probes did not cross react with any of the organisms tested, whereas the E. coli PNA probe, as expected from sequence data, also detected Shigella species. The Salmonella PNA probe reacted with all of the 13 Salmonella strains, representing the 7 subspecies of Salmonella, however, it is also complementary to a few other bacterial species. The eubacteria- and eucarya-specific PNA probes detected all bacterial species and one yeast species, respectively. The general applicability of the PNA FISH method made simultaneous identification of multiple species, both gram-negative and gram-positive, in a mixed population an attractive possibility never accomplished using DNA probes. Four color images using differently labeled PNA probes showed simultaneous identification of E. coli, P. aeruginosa, S. aureus and Salmonella, thereby demonstrating the potential of multiplex FISH for various diagnostic applications within both clinical and industrial microbiology.     

Fecal microbial diversity in a strict vegetarian as determined by molecular analysis and cultivation

Fecal microbial diversity in a strictly vegetarian woman was determined by the 16S rDNA library method, terminal restriction fragment length polymorphism (T-RFLP) analysis and a culture-based method. The 16S rDNA library was generated from extracted fecal DNA, using bacteria-specific primers. Randomly selected clones were partially sequenced. T-RFLP analysis was performed using amplified 16S rDNA. The lengths of T-RF were analyzed after digestion by HhaI and MspI. The cultivated bacterial isolates were used for partial sequencing of 16S rDNA. Among 183 clones obtained, approximately 29% of the clones belonged to 13 known species. About 71% of the remaining clones were novel "phylotypes" (at least 98% similarity of clone sequence). A total of 55 species or phylotypes were identified among the 16S rDNA library, while the cultivated isolates included 22 species or phylotypes. In addition, many new phylotypes were detected from the 16S rDNA library. The 16S rDNA library and isolates commonly included the Bacteroides group, Bifidobacterium group, and Clostridium rRNA clusters IV, XIVa, XVI and XVIII. T-RFLP analysis revealed the major composition of the vegetarian gut microbiota were Clostridium rRNA subcluster XIVa and Clostridium rRNA cluster XVIII. The dominant feature of this strictly vegetarian gut microbiota was the detection of many Clostridium rRNA subcluster XIVa and C. ramosum (Clostridium rRNA cluster XVIII).     

微生物非培养鉴定技术在临床标本检查中的应用研究

感染性疾病的病原学诊断仍以微生物的分离培养作为“金标准”,但能培养成功的仅为少数。绕过分离培养环节,以微生物rRNA／rDNA基因作为种属鉴别序列,设计通用引物（universal primer,up）,用PCR扩增标本中微生物的16SrRNA或16S～23SrRNA序列,通过毛细管电泳（CE）进行单链构象多态性（SSCP）和限制性片段长度多态性（RFLP）分析,筛选基因的点突变以达到快速鉴定微生物（到属和种）。用PCR—CE—SSCP和PCR—CE—RFLP分析系统检测了呼吸道、消化道、女性生殖道标本中感染的病原菌;用PCR-CE-SSCP系统检测了男性泌尿道溶脲脲原体两个生物群。建立PCR—CE—RFLP分析系统,用非培养法鉴定技术检测脓汁、肠道和泌尿生殖道标本,检测并鉴定了临床标本中的多种病原菌;对人体肠道菌群进行定性和定量分析,用该法可协助腹泻的病原学诊断;检测生殖道常见的致病菌;用PCR—CE—SSCP系统建立了检测溶脲脲原体两个生物群的方法。微生物的非培养鉴定技术比传统方法缩短20h,为临床感染症的诊断提供快速、准确的依据。结果可见,利用16S～23SrRNA间区基因PCR—CE—RFLP和PCR—CE—SSCP系统可以达到对临床常见病原菌的快速种属鉴定,比传统的细菌培养法具有快速、准确、灵敏的优点,可用于临床感染症的病原学诊断。微生物的非培养鉴定技术将替代培养法而成为病原学诊断新的金标准。     

Questionable 16S ribosomal RNA gene annotations are frequent in completed microbial genomes

According to recent reports, many ribosomal RNA gene annotations are still questionable, and the use of inappropriate tools for annotation has been blamed. However, we believe that the abundant 16S rRNA partial sequence in the databases, mainly created by culture-independent PCR methods, is another main cause of the ambiguous annotations of 16S rRNA. To examine the current status of 16S rRNA gene annotations in complete microbial genomes, we used as a criterion the conserved anti-SD sequence, located at the 3′ end of the 16S rRNA gene, which is commonly overlooked by culture-independent PCR methods. In our large survey, 859 16S rRNA gene sequences from 252 different species of the microbial complete genomes were inspected. 67 species (234 genes) were detected with ambiguous annotations. The common anti-SD sequence and other conserved 16S rRNA sequence features could be detected in the downstream-intergenic regions for almost every questionable sequence, indicating that many of the 16S rRNA genes were annotated incorrectly. Furthermore, we found that more than 91.5% of the 93,716 sequences of the available 16S rRNA in the main databases are partial sequences. We also performed BLAST analysis for every questionable rRNA sequence, and most of the best hits in the analysis were rRNA partial sequences. This result indicates that partial sequences are prevalent in the databases, and that these sequences have significantly affected the accuracy of microbial genomic annotation. We suggest that the annotation of 16S rRNA genes in newly complete microbial genomes must be done in more detail, and that revision of questionable rRNA annotations should commence as soon as possible.     

Asaia sp., an unusual spoilage organism of fruit-flavored bottled water

A gram-negative bacillus was isolated from a batch of fruit-flavored bottled water, which had spoiled as a result of bacterial overgrowth (>10(6) CFU/ml). The spoilage organism was extremely difficult to identify phenotypically and was poorly identified as Pasturella sp. (78.7% identification profile) employing the API 20NE identification scheme, which gave the profile 5040000. Molecular identification through PCR amplification of a partial region of the 16S rRNA gene followed by direct automated sequencing of the PCR amplicon allowed identification of the organism. Due to the sequence identity (100%) between the spoilage organism and a reference strain in GenBank, the spoilage isolate was considered to be an Asaia sp., a recently described genus and member of the acetic acid bacteria. This is the first report of Asaia sp. causing spoilage of a foodstuff and highlights the benefits of molecular identification techniques based on 16S rRNA gene sequences in the identification of unusual spoilage organisms.     

A glimpse under the rim – the composition of microbial biofilm communities in domestic toilets

Aim: To determine the microbial composition of biofilms in domestic toilets by molecular means. Methods and Results: Genomic DNA was extracted from six biofilm samples originating from households around Düsseldorf, Germany. While no archaeal 16S rRNA or fungal ITS genes were detected by PCR, fingerprinting of bacterial 16S rRNA genes revealed a diverse community in all samples. These communities also differed considerably between the six biofilms. Using the Ribosomal Database Project (RDP) classifier tool, 275 cloned 16S rRNA gene sequences were assigned to 11 bacterial phyla and 104 bacterial genera. Only 15 genera (representing 121 sequences affiliated with Acidobacteria, Actinobacteria, Bacteroidetes, Planctomycetes and Proteobacteria) occurred in at least half of the samples or contributed at least 10% of the sequences in a single biofilm. These sequences were defined as ‘typical’ for toilet biofilms, and they were examined in more detail. On a 97% sequence similarity level, these sequences represented 56 species. Twelve of these were closely related to well‐described bacterial species, and only two of them were categorized as belonging to risk group 2. No 16S rRNA genes of typical faecal bacteria were detected in any sample. Virtually all ‘typical’ clones were found to be closely related to bacteria or to sequences obtained from environmental sources, implicating that the flushing water is the main source of recruitment. Conclusion: In view of the great diversity of mostly yet‐uncultured bacteria and the considerable differences between individual toilets, very general strategies appear to be most suited for the removal and prevention of toilet biofilms. Significance and Impact of the Study: For the first time, a molecular fingerprinting and cloning approach was used to monitor the species composition in biofilm samples taken from domestic toilets. Knowledge about the microbial composition of biofilms in domestic toilets is a prerequisite for developing and evaluating strategies for their removal and prevention.     

变性梯度凝胶电泳(DGGE)在微生物生态学中的应用

由于从环境样品中分离和培养细菌的困难,分子生物学方法已发展用来描述和鉴定微生物群落。近年来基于DNA方法的群落分析得到了迅速的发展,如PCR扩增技术,克隆文库法,荧光原位杂交法,限制性酶切片段长度多态性法,变性和温度梯度凝胶电泳法。DGGE已广泛用于分析自然环境中细菌、蓝细菌,古菌、微微型真核生物、真核生物和病毒群落的生物多样性。这一技术能够提供群落中优势种类信息和同时分析多个样品。具有可重复和容易操作等特点,适合于调查种群的时空变化,并且可通过对切下的带进行序列分析或与特异性探针杂交分析鉴定群落成员。DGGE分析微生物群落的一般步骤如下：一是核酸的提取,二是16S rRNA,18S rRNA或功能基因如可容性甲烷加单氧酶羟化酶基因(mmoX)和氨加单氧酶a一亚单位基因(amoA)片段的扩增,三是通过DGGE分析PCR产物。DGGE使用具有化学变性剂梯度的聚丙烯酰胺凝胶,该凝胶能够有区别的解链PCR扩增产物。由PCR产生的不同的DNA片段长度相同但核苷酸序列不同。因此不同的双链DNA片段由于沿着化学梯度的不同解链行为将在凝胶的不同位置上停止迁移。DNA解链行为的不同导致一个凝胶带图案,该图案是微生物群落中主要种类的一个轮廓。DGGE使用所有生物中保守的基因片段如细菌中的16S rRNA基因片段和真菌中的18S rRNA基因片段。然而同其他分子生物学方法一样,DGGE也有缺陷,其中之一是只能分离较小的片段,使用于系统发育分析比较和探针设计的序列信息量受到了限制。在某些情况下,由于所用基因的多拷贝导致一个种类多于一条带,因此不易鉴定群落结构到种的水平。此外,该技术具有内在的如单一细菌种类16S rDNA拷贝之间的异质性问题,可导致自然群落中微生物数量的过多估计。DGGE是分析微生物群落的一种有力的工具。不过为了减少DGGE和其它技术的缺陷,建议研究者结合DGGE和其它分子及微生物学方法以便更详细的观察微生物的群落结构和功能。     

Genetic diversity of bacterial strains isolated from soils, contaminated with polycyclic aromatic hydrocarbons, by 16S rRNA gene sequencing and amplified fragment length polymorphism fingerprinting

In order to study microbial diversity in a polycyclic aromatic hydrocarbon-impacted soil, 14 bacterial strains were analyzed by 16S rRNA gene sequencing and amplified fragment length polymorphism (AFLP) analysis. Bacterial strains isolated from two different hydrocarbon-polluted sites were identified to the species level by 16S rRNA full-gene sequencing using MicroSeq 16S rRNA gene sequencing. Their genome was subsequently analyzed by high-resolution genotyping with AFLP analysis, in order to monitor species variability and to differentiate closely related strains. Cluster analysis based on AFLP fingerprinting showed intra-specific polymorphism, even among strains with 100% 16S rRNA gene sequence identity. The results show that AFLP is a powerful, highly reproducible and discriminatory tool for revealing genetic relationships in bacterial populations. The ability to differentiate and track related closely microbes is fundamental for studying structure and dynamics of microbial communities in contaminated ecosystems.     

Long-term storage and safe retrieval of DNA from microorganisms for molecular analysis using FTA matrix cards

We assessed the potential use of Whatman FTA paper as a device for archiving and long-term storage of bacterial cell suspensions of over 400 bacterial strains representing 61 genera, the molecular applications of immobilised DNA on FTA paper, and tested its microbial inactivation properties. The FTA paper extracted bacterial DNA is of sufficiently high quality to successfully carryout the molecular detection of several key genes including 16S rRNA, esp (Enterococcus surface protein), Bft (Bacteroides fragilis enterotoxin) and por (porin protein) by PCR and for DNA fingerprinting by random amplified polymorphic DNA-PCR (RAPD-PCR). To test the long-term stability of the FTA immobilised DNA, 100 of the 400 archived bacterial samples were randomly selected following 3 years of storage at ambient temperature and PCR amplification was used to monitor its success. All of the 100 samples were successfully amplified using the 16S rDNA gene as a target and confirmed by DNA sequencing. Furthermore, the DNA was eluted into solution from the FTA cards using a new alkaline elution procedure for evaluation by real-time PCR-based assays. The viability of cells retained on the FTA cards varied among broad groups of bacteria. For the more fragile gram-negative species, no viable cells were retained even at high cell densities of between 10(7) and 10(8) colony forming units (cfu) ml(-1), and for the most robust species such as spore-formers and acid-fast bacteria, complete inactivation was achieved at cell densities ranging between 10(1) and 10(4) cfu ml(-1). The inactivation of bacterial cells on FTA cards suggest that this is a safe medium for the storage and transport of bacterial nucleic acids.     

Next Generation Sequencing to Define Prokaryotic and Fungal Diversity in the Bovine Rumen

A combination of Sanger and 454 sequences of small subunit rRNA loci were used to interrogate microbial diversity in the bovine rumen of 12 cows consuming a forage diet. Observed bacterial species richness, based on the V1–V3 region of the 16S rRNA gene, was between 1,903 to 2,432 species-level operational taxonomic units (OTUs) when 5,520 reads were sampled per animal. Eighty percent of species-level OTUs were dominated by members of the order Clostridiales, Bacteroidales, Erysipelotrichales and unclassified TM7. Abundance of Prevotella species varied widely among the 12 animals. Archaeal species richness, also based on 16S rRNA, was between 8 and 13 OTUs, representing 5 genera. The majority of archaeal OTUs (84%) found in this study were previously observed in public databases with only two new OTUs discovered. Observed rumen fungal species richness, based on the 18S rRNA gene, was between 21 and 40 OTUs with 98.4–99.9% of OTUs represented by more than one read, using Good’s coverage. Examination of the fungal community identified numerous novel groups. Prevotella and Tannerella were overrepresented in the liquid fraction of the rumen while Butyrivibrio and Blautia were significantly overrepresented in the solid fraction of the rumen. No statistical difference was observed between the liquid and solid fractions in biodiversity of archaea and fungi. The survey of microbial communities and analysis of cross-domain correlations suggested there is a far greater extent of microbial diversity in the bovine rumen than previously appreciated, and that next generation sequencing technologies promise to reveal novel species, interactions and pathways that can be studied further in order to better understand how rumen microbial community structure and function affects ruminant feed efficiency, biofuel production, and environmental impact.     

Novel approach to quantitative detection of specific rRNA in a microbial community, using catalytic DNA

We developed a novel method for the quantitative detection of the 16S rRNA of a specific bacterial species in the microbial community by using deoxyribozyme (DNAzyme), which possesses the catalytic function to cleave RNA in a sequence-specific manner. A mixture of heterogeneous 16S rRNA containing the target 16S rRNA was incubated with a species-specific DNAzyme. The cleaved target 16S rRNA was separated from the intact 16S rRNA by electrophoresis, and then their amounts were compared for the quantitative detection of target 16S rRNA. This method was used to determine the abundance of the 16S rRNA of a filamentous bacterium, Sphaerotilus natans, in activated sludge, which is a microbial mixture used in wastewater treatment systems. The result indicated that this DNAzyme-based approach would be applicable to actual microbial communities.     

rpoB sequence analysis as a novel basis for bacterial identification

Comparison of the sequences of conserved genes, most commonly those encoding 16S rRNA, is used for bacterial genotypic identification. Among some taxa, such as the Enterobacteriaceae, variation within this gene does not allow confident species identification. We investigated the usefulness of RNA polymerase beta-subunit encoding gene ( rpoB  ) sequences as an alternative tool for universal bacterial genotypic identification. We generated a database of partial rpoB for 14 Enterobacteriaceae species and then assessed the intra- and interspecies divergence between the rpoB and the 16S rRNA genes by pairwise comparisons. We found that levels of divergence between the rpoB sequences of different strains were markedly higher than those between their 16S rRNA genes. This higher discriminatory power was further confirmed by assigning 20 blindly selected clinical isolates to the correct enteric species on the basis of rpoB sequence comparison. Comparison of rpoB sequences from Enterobacteriaceae was also used as the basis for their phylogenetic analysis and demonstrated the genus Klebsiella to be polyphyletic. The trees obtained with rpoB were more compatible with the currently accepted classification of Enterobacteriaceae than those obtained with 16S rRNA. These data indicate that rpoB is a powerful identification tool, which may be useful for universal bacterial identification.