Differentiation Of Bacterial Species Research Articles

The commercial antibiotics with inherent AIE feature: In situ visualization of antibiotic metabolism and specifically differentiation of bacterial species and broad-spectrum therapy.

The research on pharmacology usually focuses on the structure-activity relationships of drugs, such as antibiotics, to enhance their activity, but often ignores their optical properties. However, investigating the photophysical properties of drugs is of great significance because they could be used to in situ visualize their positions and help us to understand their working metabolism. In this work, we identified a class of commercialized antibiotics, such as levofloxacin, norfloxacin, and moxifloxacin (MXF) hydrochloride, featuring the unique aggregation-induced emission (AIE) characteristics. By taking advantage of their AIE feature, antibiotic metabolism in cells could be in situ visualized, which clearly shows that the luminescent aggregates accumulate in the lysosomes. Moreover, after a structure-activity relationship study, we found an ideal site of MXF to be modified with a triphenylphosphonium and an antibiotic derivative MXF-P was prepared, which is able to specifically differentiate bacterial species after only 10min of treatment. Moreover, MXF-P shows highly effective broad-spectrum antibacterial activity, excellent therapeutic effects and biosafety for S. aureus-infected wound recovery. Thus, this work not only discovers the multifunctionalities of the antibiotics but also provides a feasible strategy to make the commercialized drugs more powerful.

Isolation, Characterization and Whole-Genome Analysis of Paenibacillus andongensis sp.nov. from Korean Soil.

The genus Paenibacillus contains a variety of biologically active compounds that have potential applications in a range of fields, including medicine, agriculture, and livestock, playing an important role in the health and economy of society. Our study focused on the bacterium SS4T (KCTC 43402T = GDMCC 1.3498T), which was characterized using a polyphasic taxonomic approach. This strain was analyzed using antiSMASH, BAGEL4, and PRISM to predict the secondary metabolites. Lassopeptide clusters were found using all three analysis methods, with the possibility of secretion. Additionally, PRISM found three biosynthetic gene clusters (BGC) and predicted the structure of the product. Genome analysis indicated that glucoamylase is present in SS4T. 16S rRNA sequence analysis showed that strain SS4T most closely resembled Paenibacillus marchantiophytorum DSM 29850T (98.22%), Paenibacillus nebraskensis JJ-59T (98.19%), and Paenibacillus aceris KCTC 13870T (98.08%). Analysis of the 16S rRNA gene sequences and Type Strain Genome Server (TYGS) analysis revealed that SS4T belongs to the genus Paenibacillus based on the results of the phylogenetic analysis. As a result of the matrix-assisted laser desorption/ionization-time-of-flight mass spectrometry (MALDI-TOF/MS) results, SS4T was determined to belong to the genus Paenibacillus. Comparing P. marchantiophytorum DSM 29850T with average nucleotide identity (ANI 78.97%) and digital DNA-DNA hybridization (dDDH 23%) revealed values that were all less than the threshold for bacterial species differentiation. The results of this study suggest that strain SS4T can be classified as a Paenibacillus andongensis species and is a novel member of the genus Paenibacillus.

Bacterial DNA Recognition by SERS Active Plasma-Coupled Nanogold.

It is shown that surface-enhanced Raman spectroscopy (SERS) can identify bacteria based on their genomic DNA composition, acting as a "sample-distinguishing marker". Successful spectral differentiation of bacterial species was accomplished with nanogold aggregates synthesized through single-step plasma reduction of the ionic gold-containing vapored precursor. A high enhancement factor (EF = 107) in truncated coupled plasmonic particulates allowed SERS-probing at nanogram sample quantities. Simulations confirmed the occurrence of the strongest electric field confinement within nanometric gaps between gold dimers/chains from where the molecular fingerprints of bacterial DNA fragments gained photon scattering enhancement. The most prominent Raman modes linked to fundamental base-pair molecular vibrations were deconvoluted and used to proceed with nitrogenous base content estimation. The genomic composition (percentage of guanine-cytosine and adenine-thymine) was successfully validated by third-generation sequencing using nanopore technology, further proving that the SERS technique can be employed to swiftly specify bioentities by the discriminative principal-component statistical approach.

Mycolicibacterium aurantiacum sp. nov. and Mycolicibacterium xanthum sp. nov., two novel actinobacteria isolated from mangrove sediments.

Two novel actinobacteria with the ability to degrade kerosene, designated as B3033T and Y57T, were isolated from mangrove sediments in Tieshan Harbour, South China Sea. Both strains are Gram-staining-positive, non-spore forming, slow-growing, oxidase-positive, non-motile and aerobic. Their major cellular fatty acids were C16 : 0 and C18 : 1ω9c. Analysis of 16S rRNA gene sequences revealed the close relationship of strain B3033T to Mycobacterium kyogaense DSM 107316T (99.4 % nucleotide identity) and strain Y57T to Mycolicibacterium chubuense ATCC 27278T (98.7 %) and Mycolicibacterium rufum JS14T (98.7 %). Whole genome average nucleotide blast identity (ANI) and the digital DNA-DNA hybridization (dDDH) values between the two isolates and the type strains of species of the genus Mycolicibacterium were lower than 94 and 45 %, respectively, which were below the threshold values of 95 % (for ANI) and 70 % (for dDDH) recommended for bacterial species differentiation. The genome sequence of B3033T comprised a circular 11.0 Mb chromosome with a DNA G+C content of 68.1 mol%. Y57T had a genome size of 5.6 Mb and a DNA G+C content of 68.7 mol%. Genes involved in degradation of aromatic compounds and copper resistance were identified in the genomes of both strains that could improve their adaptive capacity to the mangrove environment. These results combined with those of chemotaxonomic analyses, MALDI-TOF MS profiles and phenotypic analyses support the affiliation of these strains to two novel species within the genus Mycolicibacterium, for which we propose the names Mycolicibacterium aurantiacum sp. nov. B3033T (=KCTC 49712T=MCCC 1K04526T) and Mycolicibacterium xanthum sp. nov. Y57T (=KCTC 49711T=MCCC 1K04875T) as type strains.

Rhizobium croatiense sp. nov. and Rhizobium redzepovicii sp. nov., two new species isolated from nodules of Phaseolus vulgaris in Croatia

Phaseolus vulgaris is a legume indigenous to America which is nodulated by strains of genus Rhizobium in Croatia. Four of these strains, 13TT, 9T, 18TT and 8Z are phylogenetically close to the species from the Rhizobium leguminosarum phylogenetic complex in the 16S rRNA gene analysis. The results of both the analyses of the concatenated recA and atpD genes and whole genomes revealed that the strains 13TT and 9T clustered with Rhizobium sophoriradicis CCBAU 03470T and the strains 18TT and 8Z with Rhizobium ecuadorense CNPSO 671T. Whole genome average nucleotide identity blast (ANIb) and dDDH values between the strains 13TT and the type strain of R. sophoriradicis and between the strains 18TT and the type strain of R. ecuadorense were lower than 95% and 70%, respectively, which are the threshold values recommended for bacterial species differentiation. These results combined with those of chemotaxonomic and phenotypic analyses support the affiliation of these strains to two novel species within the genus Rhizobium for which we propose the names Rhizobium croatiense sp. nov. 13TT (=LMG 32397T, = HAMBI 3740T) as type strain and Rhizobium redzepovicii sp. nov. 18TT (=LMG 32398T, = HAMBI 3741T) as type strain.

Development of high-resolution melting (HRM) assay to differentiate the species of Shigella isolates from stool and food samples

Shigella species, a group of intracellular foodborne pathogens, are the main causes of bacillary dysentery and shigellosis in humans worldwide. It is essential to determine the species of Shigella in outbreaks and food safety surveillance systems. The available immunological and molecular methods for identifying Shigella species are relatively complicated, expensive and time-consuming. High resolution melting (HRM) assay is a rapid, cost-effective, and easy to perform PCR-based method that has recently been used for the differentiation of bacterial species. In this study, we designed and developed a PCR-HRM assay targeting rrsA gene to distinguish four species of 49 Shigella isolates from clinical and food samples and evaluated the sensitivity and specificity of the assay. The assay demonstrated a good analytical sensitivity with 0.01–0.1 ng of input DNA template and an analytical specificity of 100% to differentiate the Shigella species. The PCR-HRM assay also was able to identify the species of all 49 Shigella isolates from clinical and food samples correctly. Consequently, this rapid and user-friendly method demonstrated good sensitivity and specificity to differentiate species of the Shigella isolates from naturally contaminated samples and has the potential to be implemented in public health and food safety surveillance systems.

Luminometric Label Array for Counting and Differentiation of Bacteria.

Methods for simple and fast detection and differentiation of bacterial species are required, for instance, in medicine, water quality monitoring, and the food industry. Here, we have developed a novel label array method for the counting and differentiation of bacterial species. This method is based on the nonspecific interactions of multiple unstable lanthanide chelates and selected chemicals within the sample leading to a luminescence signal profile that is unique to the bacterial species. It is simple, cost-effective, and/or user-friendly compared to many existing methods, such as plate counts on selective media, automatic (hemocytometer-based) cell counters, flow cytometry, and polymerase chain reaction (PCR)-based methods for identification. The performance of the method was demonstrated with nine single strains of bacteria in pure culture. The limit of detection for counting was below 1000 bacteria per mL, with an average coefficient of variation of 10% achieved with the developed label array. A predictive model was trained with the measured luminescence signals and its ability to differentiate all tested bacterial species from each other, including members of the same genus Bacillus licheniformis and Bacillus subtilis, was confirmed via leave-one-out cross-validation. The suitability of the method for analysis of mixtures of bacterial species was shown with ternary mixtures of Bacillus licheniformis, Escherichia coli JM109, and Lactobacillus reuteri ATCC PTA 4659. The potential future application of the method could be monitoring for contamination in pure cultures; analysis of mixed bacterial cultures, where examining one species in the presence of another could inform industrial microbial processes; and the analysis of bacterial biofilms, where nonspecific methods based on physical and chemical characteristics are required instead of methods specific to individual bacterial species.

Differentiation and classification of bacteria using vancomycin functionalized silver nanorods array based surface-enhanced Raman spectroscopy and chemometric analysis

Twenty seven different bacteria isolates from 12 species were analyzed using intrinsic surface-enhanced Raman scattering (SERS) spectra with recently developed vancomycin coated silver nanorod (VAN AgNR) substrates. The VAN AgNR substrates could generate reproducible SERS spectra of the bacteria with little to no interference from the environment or bacterial by-products as compared to the pristine substrates. By taking advantage of the structural composition of the cellular wall which varies from species to species, the differentiation of bacterial species is demonstrated by using chemometric analyses on those spectra. A second chemometric analysis step within the species cluster is able to differentiate serotypes and strains. The spectral features used for serotype differentiation arises from the surface proteins, while Raman peaks from adenine dominate the differentiation of strains. In addition, due to the intrinsic structural differences in the cell walls, the SERS spectra can distinguish Gram-positive from Gram-negative bacteria with high sensitivity and specificity, as well as 100% accuracy on predicting test samples. Our results provide important insights for using SERS as a bacterial diagnostic tool and further guide the design of a SERS-based detection platform.

Combined Molecular Gram Typing and High-Resolution Melting Analysis for Rapid Identification of a Syndromic Panel of Bacteria Responsible for Sepsis-Associated Bloodstream Infection

Effective diagnosis and treatment of bloodstream infections are often hampered by a lack of time-critical information from blood cultures. Molecular techniques aimed at the detection of circulating pathogen DNA have the potential to dramatically improve the timeliness of infection diagnosis. Our aim in this study was to establish a rapid, low-cost PCR approach using high-resolution melting analysis to identify a syndromic panel of 21 pathogens responsible for most bloodstream bacterial infections encountered in critical care environments. A broad-range, real-time PCR technique that combines primers for molecular Gram classification and high-resolution melting analysis in a single run was established. The differentiation of bacterial species was achieved using a multiparameter, decision-tree approach that was based on Gram type, grouping according to melting temperature, and sequential comparisons of melting profiles against multiple reference organisms. A preliminary validation study was undertaken by blinded analysis of 53 consecutive bloodstream isolates from a clinical microbiology laboratory. Fifty isolates contained organisms that were present in the panel, and 96% of these were identified correctly at the genus or species level. A correct Gram classification was reported for all 53 isolates. This technique shows promise as a cost-effective tool for the timely identification of bloodstream pathogens, allowing clinicians to make informed decisions on appropriate antibiotic therapies at an earlier stage.

Rapid differentiation of bacterial species by high resolution melting curve analysis

Molecular based differentiation of various bacterial species is important in phylogenetic studies, diagnostics and epidemiological surveillance, particularly where unusual phenotype makes the classical phenotypic identification of bacteria difficult. Molecular approach based on the sequence of 16S ribosomal RNA gene analysis can achieve fast and reliable identification ofbacteria. High resolution melting (HRM) curve analysis has been developed as an attractive novel technique for DNA sequence discrimination but it's application for bacteria differentiation has not been well studied yet. W have developed HRM assay for differentiation of sixteen pathogenic or opportunistic bacterial species. Amplified partial 16S ribosomal RNA gene region between 968 and 1401 positions (E. coli reference numbering) was subsequently used in high resolution melting curve analysis of PCR products for bacterial species differentiation. Sixteen bacterial species were simultaneously discerned by difference plot of normalized and temperatures shifted melting curves, without need for spiking of DNA, hetero-duplexing experiments or application of several primer pairs. High resolution melting curve analysis of duplex DNA is simple, fast and reliable tool for bacterial species differentiation and may efficiently complement phenotypic identification ofbacteria.

Differentiation of Staphylococcus spp. by high-resolution melting analysis

High-resolution melting analysis (HRMA) is a fast (post-PCR) high-throughput method to scan for sequence variations in a target gene. The aim of this study was to test the potential of HRMA to distinguish particular bacterial species of the Staphylococcus genus even when using a broad-range PCR within the 16S rRNA gene where sequence differences are minimal. Genomic DNA samples isolated from 12 reference staphylococcal strains (Staphylococcus aureus, Staphylococcus capitis, Staphylococcus caprae, Staphylococcus epidermidis, Staphylococcus haemolyticus, Staphylococcus hominis, Staphylococcus intermedius, Staphylococcus saprophyticus, Staphylococcus sciuri, Staphylococcus simulans, Staphylococcus warneri, and Staphylococcus xylosus) were subjected to a real-time PCR amplification of the 16S rRNA gene in the presence of fluorescent dye EvaGreen™, followed by HRMA. Melting profiles were used as molecular fingerprints for bacterial species differentiation. HRMA of S. saprophyticus and S. xylosus resulted in undistinguishable profiles because of their identical sequences in the analyzed 16S rRNA region. The remaining reference strains were fully differentiated either directly or via high-resolution plots obtained by heteroduplex formation between coamplified PCR products of the tested staphylococcal strain and phylogenetically unrelated strain.

Safety Assessment of Fresh and Processed Seafood Products by MALDI-TOF Mass Fingerprinting

Foodborne intoxications caused by the consumption of fish and other products of marine origin contaminated with bacterial pathogens are an ever-present threat, either due to bacteria and/or its metabolites. In addition, the rapid spoilage of seafood due to microbial activity, results in high economic losses. The development of the microbiota in seafood products depends on the microbiological ambience of capture, processing and storage, and the applied preservation method. Thus, pathogenic and spoilage bacterial species in seafood may come from the indigenous microbiota of the aquatic ambience or are introduced by contamination during processing. Rapid and accurate bacterial species identification is essential for an effective control program to ensure safety and quality of either processed or minimally processed seafood. In the present work, matrix-assisted laser desorption ionization-time of flight mass spectrometry was successfully applied to identify 26 bacterial strains isolated from fresh fish and processed seafood samples. The approach was based on the comparison of unknown spectra to a reference spectral library and demonstrated to be a fast and accurate technique for bacterial species differentiation, which can be used for the rapid identification of foodborne pathogens and spoilage bacteria potentially present in products of marine origin.

IS‐pro: high‐throughput molecular fingerprinting of the intestinal microbiota

The human intestinal microbiota is known to play an important role in human health and disease, and with the advent of novel molecular techniques, disease-specific variations in its composition have been found. However, analysis of the intestinal microbiota has not yet been applicable in large-scale clinical research or routine diagnostics because of the complex and expensive nature of the techniques needed. Here, we describe a new PCR-based profiling technique for high-throughput analysis of the human intestinal microbiota, which we have termed IS-pro. This technique combines bacterial species differentiation by the length of the 16S-23S rDNA interspace region with instant taxonomic classification by phylum-specific fluorescent labeling of PCR primers. We validated IS-pro in silico, in vitro, and in vivo, on human colonic biopsies and feces, and introduced a standardized protocol for data analysis. IS-pro is easy to implement in general clinical microbiological laboratories with access to capillary gel electrophoresis, and the high-throughput nature of the test makes analysis of large numbers of samples feasible. This combination renders IS-pro ideally suited for use in clinical research and routine diagnostics.

Rapid direct lipid profiling of bacteria using desorption electrospray ionization mass spectrometry

Desorption electrospray ionization (DESI) was employed to measure lipids directly from sixteen bacterial samples without extraction or other sample preparation. Differentiation of different bacterial species and some sub-species was achieved using either the positive or the negative ion mode DESI mass spectra covering the mass/charge range up to m/ z 1000. The data were confirmed by electrospray mass spectrometry (ESI-MS) of lipid extracts from the same bacterial samples. Although the signals were lower, the quality of the direct ionization DESI spectra compared favorably with that of the ESI spectra extracts prepared using chloroform/methanol. The use of unit mass resolution in these experiments allows for overlaps of nominally isobaric and isomeric lipids at particular m/ z values. Tandem mass spectrometry was performed to validate the presence of particular lipids falling into several classes of phospholipids, including phosphatidylethanolamines (PE), phosphatidylglycerols (PG) and lysophospholipids. In addition, lysyl-phosphatidylglycerol (LPG) and lipopeptides were observed in the cases of gram-positive bacteria. DESI-MS lipid profiling was applied to the characterization of four different bacterial species including thirteen Salmonella strains. Two bacterial samples Escherichia coli K-12 and Salmonella typhimurium INSP24 were also grown in three different media. Data were compared using principal component analysis (PCA), which indicated that the different species are readily distinguished and that different growth media do not prevent bacterial species differentiation in the cases examined. Several different Salmonella strains are also distinguishable from each other based on the PCA results.

A DNA array based assay for the characterization of microbial community in raw milk

An oligonucleotide array based on PCR method containing a combination of probes for taxonomic markers and species-specific virulence genes was developed for the simultaneous identification of 14 Lactic Acid Bacteria (LAB) and food-borne pathogenic bacteria in raw milk. The hypervariable regions V3 and V6 of 16S, together with a variable region of 23S rRNA genes and several genes specific for virulence factors were selected. Universal primers and multiplex PCR were used for the rapid differentiation of bacterial species and low concentration of specific pathogenic and spoilage bacteria were detected in milk. The dominant species such as Streptococcus thermophilus, Enterococcus faecalis, Lactococcus lactis, and Leuconostoc lactis were identified by indirect-labelling reactions based upon incorporation of amino-allyl dUTPs. The results regarding food-borne pathogens detection showed highly specific hybridisation patterns with the genomic DNA from Campylobacter jejuni, Escherichia coli, Salmonella thyphimurium, Listeria monocytogenes and Yersinia enterocolitica. A clear differentiation of dominant species present in a complex microbial community such as raw milk was achieved by the application of short oligonucleotide probes which discriminate sequences differing by few nucleotides.

Combination of rRNA-Targeted Hybridization Probes and Immuno-Probes for the Identification of Bacteria by Flow Cytometry

Fluorescence in situ hybridization (FISH) and immunofluorescence (IF) were for the first time combined for the flow cytometric identification of bacteria. Artificial mixtures of fixed cells were hybridized with fluorescein-labeled, rRNA-targeted oligonucleotide probes and stained indirectly with biotinylated antibodies and R-phycoerythrin (PE) conjugated streptavidin. Finally, they were counterstained with 4',6diamidino-2-phenylindole (DAPI) in order to discriminate cells from background. Forward scatter, fluorescein- as well as PE- and DAPI-fluorescence were measured simultaneously for the differentiation of bacterial species by multiparameter flow cytometric analysis. The influence of detergents in the hybridization buffer on nonspecific antibody binding was evaluated. Sodium dodecyl sulfate (SDS) induced strong nonspecific staining and was, therefore, replaced by Tween 20. We found that the immunostaining steps can be performed before or after hybridization. This combination of rRNA-targeted hybridization probes and immuno-probes for flow cytometry makes possible the highly specific and automated identification of micro-organisms at any desired taxonomic level.

Rapid differentiation of bacterial species with multiple probes of different lengths in a single slot blot hybridization.

We describe a highly efficient method for dot and slot blot hybridizations with multiple oligonucleotide probes for high throughput identification of organisms and studies of microbial community structures. Several probes with distinct specificities were designed to have the same melting temperature but unique lengths by adding different numbers of nonspecific nucleotides to one end. All of the probes were mixed, labelled with 32P, and hybridized to one piece of membrane on which genes coding for 16S rRNAs from different bacterial species had been immobilized. After hybridization, the bound probes were eluted and resolved on a denaturing polyacrylamide gel and the identities of the genes coding for 16S rRNAs were read from an autoradiograph of the gel. The results from the application of this technique to pure actinomycete cultures are reported here.

Fatty Acid and Polar Lipid Composition of the Genus Amycolatopsis: Application of Fast Atom Bombardment-Mass Spectrometry to Structure Analysis of Underivatized Phospholipids

Phospholipid patterns of 15 representative strains of the genus Amycolatopsis were recorded by twodimensional thin-layer chromatography. The structure analysis of the isolated phospholipids was verified by fast atom bombardment-mass spectroscopy. The positive- and negative-ion spectra of the partially purified phospholipid fractions qualitatively reflect their distinctive composition. All strains contained diphosphatidyl- glycerol, phosphatidylglycerol, and phosphatidylinositol. Two different types of phosphatidylethanolamine and phosphatidylmethylethanolamine were detected, viz., compounds with or without hydroxy fatty acids. These phospholipid patterns underline the integrity of the genus. Fast atom bombardment-mass spectrometry analysis of phospholipid patterns may serve as an aid for differentiation of bacterial species.

Restriction fragment length polymorphism analysis of 16S ribosomal DNA of Streptococcus and Enterococcus species of bovine origin.

Twelve bacterial species including Streptococcus uberis, S. parauberis, S. agalactiae, S. dysgalactiae, S. bovis, S. mitis, S. salivarius, S. saccharolyticus, Enterococcus faecium, E. faecalis, E. avium, and Aerococcus viridans were examined for their 16S ribosomal DNA fingerprint patterns. Oligonucleotide primers complementary to 16S rRNA genes were used to amplify by the polymerase chain reaction 16S ribosomal gene fragments from genomic DNAs. The molecular sizes of the amplified 16S ribosomal DNA (rDNA) fragments from the 12 species examined ranged from 1,400 to 1,500 bp. Restriction fragment length polymorphism analysis of 16S rDNA was performed with 11 different restriction endonucleases. All 12 species examined could be differentiated on the basis of characteristic 16S rDNA fingerprint patterns by using the restriction endonucleases HhaI, RsaI, and MspI. A scheme for the differentiation of the 12 species is presented. Eleven isolates representing 11 species were obtained from cows with intramammary infections and were examined by 16S rDNA fingerprinting. All 11 species isolated from cows were differentiated by using HhaI, RsaI, and MspI restriction endonucleases. The results of this study demonstrate the potential application of 16S rDNA fingerprinting for the identification and differentiation of bacterial species.

Chemotaxonomic differentiation of legionellae by detection and characterization of aminodideoxyhexoses and other unique sugars using gas chromatography-mass spectrometry

Legionellae have been differentiated previously by analyzing their carbohydrate contents by gas chromatography with flame ionization detection. In the present study, total ion mode gas chromatography-mass spectrometry (GC-MS) was used to detect a number of unusual sugars, including one that is structurally related to O-methyldideoxyheptoses. Increased sensitivity and selectivity for carbohydrate detection was achieved by selected ion-monitoring GC-MS. Two of the uncommon sugars previously discovered in the legionellae (X1 and X2) were identified as quinovosamine and fucosamine, respectively. Legionella pneumophila contained rhamnose and quinovosamine but not the quinovosamine isomer fucosamine. Tatlockia micdadei and Legionella maceachernii contained large amounts of rhamnose, fucose, and fucosamine but not quinovosamine. These two species were the only legionellae studied that contained another unusual sugar that is referred to as X3, pending determination of its structure. Fluoribacter dumoffi, Fluoribacter bozemanae, and Legionella anisa were varied in their carbohydrate contents, both within and between species, but could be distinguished from L. pneumophila and the T. micdadei and L. maceachernii group. Fluoribacter gormanii was unique among the legionellae in that it lacked both quinovosamine and fucosamine. Legionella jordanis contained other unusual carbohydrates in addition to quinovosamine. GC-MS may have wide application in the differentiation of bacterial species.