Precise molecular weight determination of PCR products of the rRNA intergenic spacer region using electrospray quadrupole mass spectrometry for differentiation of B. subtilis and B. atrophaeus, closely related species of bacilli

Assessment of 16S–23S rRNA intergenic spacer region (ISR) sequence variability is an important supplement to 16S rRNA sequencing for differentiating closely related bacterial species. Species differentiation can also be achieved by determination of approximate size of PCR (polymerase chain reaction) products of ISRs, based on their relative electrophoretic mobility on agarose gels. Closely-related species can have ISR PCR products that are similar in size. More precise molecular weight (M.W.) determination of these products might allow improved discrimination of such species. Electrospray quadrupole mass spectrometry (ESI-Q-MS) has the potential to provide such precision. For ESI-Q-MS analysis, size limitation of PCR products is currently limited to around 130 base pairs (bp). Bacillus subtilis and Bacillus atrophaeus are two closely related species with few distinguishing phenotypic characteristics. B. subtilis has recently been sub-divided into two subgroups, W23 (type strain, W23) and 168 (type strain, 168). PCR products amplified from the ISR including the 5′ terminal end of the 23S rRNA and a conserved portion of the ISR were analyzed by ESI-Q-MS. A 119 or 120 bp PCR product was produced for B. atrophaeus strains. However, strains of B. subtilis subgroups W23 and 168 each produced 114 bp products. In summary, a mass spectrometry method was developed for differentiation of B. subtilis and B. atrophaeus. Also, the genetic similarity of B. subtilis subgroups W23 and 168 was confirmed. Accurate determination of the molecular weight of PCR products from the 16S–23S rRNA intergenic spacer region using electrospray quadrupole mass spectrometry has great potential as a general technique for characterizing closely related bacterial species.     

Genetic diversity and phylogenetic relationships of bacteria belonging to the Ochrobactrum-Brucella group by recA and 16S rRNA gene-based comparative sequence analysis

The genetic diversity and phylogenetic interrelationships among 106 Ochrobactrum strains (O. anthropi: 72, O. intermedium: 22, O. tritici: 5, O. oryzae: 2, O. grignonense: 2, O. gallinifaecis: 1, O. lupini: 2), the type strains of the eight Brucella species and other closely related taxa were studied by recA and rrs gene (16S rRNA) comparative sequence analysis. Both markers correctly delineated the various Ochrobactrum species; however, resolution at the subspecies level was considerably higher in the recA gene-based approach. Phylogenetic analyses using neighbor-joining, parsimony, and maximum likelihood algorithms generated trees with similar topologies but the overall branching order, and also the order of the subclades, were not stable in either assay, which could be explained by generally high recA and rrs sequence similarities. Ochrobactrum and Pseudochrobactrum formed separate clades distinct from other Alphaproteobacteria with Bartonella, Agrobacterium, and Rhizobium as the closest relatives. O. gallinifaecis was the most distinct member, when compared to the type species O. anthropi, with rrs and recA similarities of 96.2% and 81.4%. Brucella species were indistinguishable, exhibiting high rrs and recA gene similarities of 98.6% and 85.5% compared with Ochrobactrum intermedium. At the protein level, all RecA sequences among the various Ochrobactrum species and between Ochrobactrum and Brucella were highly similar with only a few amino acid substitutions. O. anthropi and O. tritici were indistinguishable by means of their RecA proteins. A set of initially biochemically classified strains did not cluster within their assigned species and they either grouped within other known species or grouped as potential novel Ochrobactrum species. In further investigations, these strains were reclassified and described as novel species. In summary, Ochrobactrum is a highly diverse genus comprising several novel species. We recommend recA- in addition to rrs gene-analysis for correct species allocation and subtyping of novel Ochrobactrum isolates.     

Yeast identification: reassessment of assimilation tests as sole universal identifiers

Aims: To assess whether assimilation tests in isolation remain a valid method of identification of yeasts, when applied to a wide range of environmental and spoilage isolates. Methods and Results: Seventy‐one yeast strains were isolated from a soft drinks factory. These were identified using assimilation tests and by D1/D2 rDNA sequencing. When compared to sequencing, assimilation test identifications (MicroLog?) were 18·3% correct, a further 14·1% correct within the genus and 67·6% were incorrectly identified. The majority of the latter could be attributed to the rise in newly reported yeast species. Conclusions: Assimilation tests alone are unreliable as a universal means of yeast identification, because of numerous new species, variability of strains and increasing coincidence of assimilation profiles. Assimilation tests still have a useful role in the identification of common species, such as the majority of clinical isolates. Significance and Impact of the Study: It is probable, based on these results, that many yeast identifications reported in older literature are incorrect. This emphasizes the crucial need for accurate identification in present and future publications.     

Nucleotide sequence analysis of a variable region of the large subunit rRNA for identification of marine-occurring yeasts

A 230-nucleotide region of the large subunit (LSU) ribosomal RNA was examined to determine whether signature nucleotide sequences could be used for species identifications of basidiomycetous yeasts. Multiple strains of genetically defined heterothallic species ofRhodosporidium, Leucosporidium, Cystofilobasidium, andSporidiobolus demonstrated that nucleotide sequences within these species are homologous and that differences between species range from 1 to 20 or more bases. Also included in this study were several homothallic species of these teleomorphic genera and some anamorphs assigned toRhodotorula andCandida. Those results indicated close relationships among certain homothallic species, particularly in the genusMrakia, and potential relationships of homothallic and anamorphic strains to several teleomorphs. The data suggest that LSU sequences can be used for yeast identifications with the possible exception of closely related homothallic species.     

Phenolics and antimicrobial activity of traditional stoned table olives 'alcaparra'

In the present work, we report the determination of phenolic compounds in ‘alcaparra’ table olives by reversed-phase HPLC/DAD, and the evaluation of their extract in vitro activity against several microorganisms that may be causal agents of human intestinal and respiratory tract infections, namely Gram positive (Bacillus cereus, Bacillus subtilis, and Staphylococcus aureus), Gram negative bacteria (Pseudomonas aeruginosa, Escherichia coli, and Klebsiella pneumoniae) and fungi (Candida albicans and Cryptococcus neoformans). Three flavonoidic compounds were identified and quantified: luteolin 7-O-glucoside, apigenin 7-O-glucoside, and luteolin. At low concentrations (0.05 mg/mL) ‘alcaparra’ extract revealed significant inhibition of both Gram positive and Gram negative bacteria growth, with exception of P. aeruginosa. Nevertheless, no antifungal activity was observed at the tested concentrations.     

Evaluation of a commercial microbial identification system based on fatty acid profiles for rapid, accurate identification of plant pathogenic bacteria

D.E. STEAD, J.E. SELLWOOD, J. WILSON AND I. VINEY, 1992. Fatty acid profiles of 773 strains representing 25 taxa of plant pathogenic and related saprophytic bacteria were compared with two commercially available broad-spectrum libraries and one self-generated library based primarily on cultures from the National Collection of Plant Pathogenic Bacteria. The accuracy of identification at specific level was often 100%, although for some closely related species and infraspecific taxa accuracy was sometimes significantly less than this. The accuracy of identification of Xanthomonas campestris pathovars was much better than for Pseudomonas syringae pathovars. Almost all identifications were made within24–48 h. Standardization of cultural conditions was essential. Hydroxy fatty acids were of great taxonomic value in classification of Gram-negative bacteria. Improved library development and standardization of cultural and analytical techniques will further increase the accuracy of identification. Fatty acid profiling offers a valuable rapid, accurate method for identification of many bacteria.     

Identification of bacterial strains by laboratories participating in the Deutsches Krebsforschungszentrum quality assurance programme

The quality assurance programme (QAP) of the Deutsches Krebsforschungszentrum (DKFZ) is a proficiency testing system developed to service the laboratory animal discipline. QAP comprises the quarterly distribution of two bacterial strains originating from various species of animals for identification to the species level and antibiotic susceptibility testing. We compared identification results reported by QAP participants over the years 1996-2004 with those obtained by the Dutch Bacterial Diagnostics reference laboratory on 68 samples comprising 71 bacterial strains and a fungus. Significant differences were found in the frequency of reported and correct identifications when bacteria were assigned to different groups based on morphology by Gram stain and on origin (animal versus environmental, rodent and rabbit versus other animal species, pathogen versus non-pathogens). Rodent and rabbit pathogens yielded 73% correct identifications, and with all bacterial strains only 60% of the identifications were correct. We assume that most QAP participants were from laboratory animal diagnostic laboratories. If this is true, the capabilities of laboratories in the laboratory animal discipline to correctly identify bacterial species are well below what are considered acceptable limits for human diagnostic laboratories. The distribution of cultured bacteria circumvents the most difficult step in the microbiological monitoring of animals, namely primary culture from clinical samples. We propose to set up a QAP that comprises the distribution of specimens mimicking clinical samples normally submitted to laboratory animal diagnostic laboratories.     

Evaluation of the Auxotab Enteric 1 System for Identification of Enterobacteriaceae

An evaluation of the accuracy and convenience of the Auxotab Enteric 1 System for identification of Enterobacteriaceae was performed with 160 bacteria. Identification at the species level was correct in 134 (83.8%) instances and at the generic level in 144 (90%) instances. Sixty strains failed to achieve the minimal concentration of organisms required to complete the identification process within 7 hr. The system was judged to be laborious and to present a potential hazard to those working with it.     

Thermal attributes of Chrysomya species

The correct identification of forensically important arthropods for post‐mortem interval estimation is crucial, as the rate of larval development can vary substantially between species. The identification of forensically important blowflies of the genus Chrysomya (Diptera: Calliphoridae) may be hampered by their close morphological similarities, especially as immatures. The aim of this study was to establish whether genetically closely related blowfly species would share similar developmental profiles. This could permit the application of developmental data to a number of closely related species, including those for which thermodevelopmental studies are lacking. If Australian Chrysomya were found to share developmental profiles, identification of the blowfly specimen to a level beyond genus may not be necessary, or at least it may not be necessary to distinguish morphologically similar sister species. The three Chrysomya species studied were collected from the same geographical location (Cairns, Australia), reducing the effects of acclimation and population‐level genetic variation. The experimental conditions in this study were virtually identical, which enabled direct comparisons to be made among the species. Blowfly larval lengths were obtained for 24‐hourly intervals at constant temperatures of 25, 30, and 35 °C. The thermal preferences of newly‐hatched feeding larvae were determined by their positions on a temperature gradient apparatus. This study established that all three species investigated differed significantly in their developmental profiles, despite the genetic closeness of the sister species Chrysomya megacephala (Fabricius) and Chrysomya saffranea (Bigot). Because of this, genetic distance was not considered to be a useful factor for predicting thermodevelopment profiles of closely related species within a genus, and highlights the necessity for correct species identification.     

Near Infrared Spectroscopy Facilitates Rapid Identification of Both Young and Mature Amazonian Tree Species

Precise identification of plant species requires a high level of knowledge by taxonomists and presence of reproductive material. This represents a major limitation for those working with seedlings and juveniles, which differ morphologically from adults and do not bear reproductive structures. Near-infrared spectroscopy (FT-NIR) has previously been shown to be effective in species discrimination of adult plants, so if young and adults have a similar spectral signature, discriminant functions based on FT-NIR spectra of adults can be used to identify leaves from young plants. We tested this with a sample of 419 plants in 13 Amazonian species from the genera Protium and Crepidospermum (Burseraceae). We obtained 12 spectral readings per plant, from adaxial and abaxial surfaces of dried leaves, and compared the rate of correct predictions of species with discriminant functions for different combinations of readings. We showed that the best models for predicting species in early developmental stages are those containing spectral data from both young and adult plants (98% correct predictions of external samples), but even using only adult spectra it is still possible to attain good levels of identification of young. We obtained an average of 75% correct identifications of young plants by discriminant equations based only on adults, when the most informative wavelengths were selected. Most species were accurately predicted (75–100% correct identifications), and only three had poor predictions (27–60%). These results were obtained despite the fact that spectra of young individuals were distinct from those of adults when species were analyzed individually. We concluded that FT-NIR has a high potential in the identification of species even at different ontogenetic stages, and that young plants can be identified based on spectra of adults with reasonable confidence.     

Evaluation of the Biolog system for the identification of Bacillus anthracis

The potential of the Biolog system for the identification of Bacillus anthracis was evaluated. In-house generated databases allowed the correct identification of 19 of 20 isolates of B. anthracis within 24 h. Five strains of the closely related B. cereus/thuringiensis group were misidentified as B. anthracis. For this reason the test could only serve as a primary screen with further testing being required to confirm identity. In addition 20% of all the strains of bacilli examined during the study gave unreadable reaction profiles due to false-positive reactions.     

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.     

PVA-biocatalyst with entrapped viable Bacillus subtilis cells

Bacillus subtilis cells were entrapped in polyvinyl alcohol (PVA)-cryogel beads without decay in their viability and capability of secretion of proteolytic enzymes (metalloproteinase and subtilisin). Conditions for preparation of the PVA-biocatalyst with suitable stability and viability of B. subtilis cells were optimized. Diffusion of various compounds into the cryogel (sliced beads) has been monitored on-line using image analysis system. Optimal working conditions and kinetic constants for hydrolysis of proteins catalyzed by the PVA-biocatalyst containing whole B. subtilis cells were estimated. The PVA-biocatalyst was applied in the hydrolysis of casein. The productivity of the biocatalyst (expressed as an amount of liberated aromatic amino acids) reached a maximal level of 12 mg g⁻¹ h⁻¹. Composition of mixture of peptides was dependent on pH, concentrations of Na⁺ and glucose, and in the reaction milieu. Protein hydrolysates of desired composition can be obtained using B. subtilis viable cells immobilized in PVA-gel. Incubation of the immobilized cells in a nutrient medium with casein successfully regenerated proteolytic activity of the biocatalyst.     

基于游离质粒的木糖诱导型枯草芽孢杆菌转化体系的建立及其应用

枯草芽孢杆菌（Bacillus subtilis）作为食品级安全菌株,因其具有理化特征清晰、培养发酵方便等特点,广泛应用于异源蛋白质的高效表达以及高附加值物质的合成。传统的B. subtilis遗传转化方法存在操作流程繁琐、效率低等缺点,因此,开发方便高效的遗传转化系统具有重要意义。转录因子ComK被证实能调控B. subtilis感受态的形成,并在B. subtilis高效转化中有重要作用。构建1个含有木糖诱导启动子P_xyl调控comK表达的穿梭质粒pUBC01?P_xyl?comK的菌株B. subtilis K1,经木糖诱导条件优化后,质粒pHY300?p43?egfp的转化效率达到4.8×10³ CFU·μg^-1。此外,质粒pUBC01?P_xyl?comK可在无胁迫条件下连续培养及消除。木糖诱导感受态体系及质粒消除极大地提高了芽孢杆菌基因编辑和菌株改造的便捷性,同时增强了菌株尤其是生产菌株的性状稳定性。     

Psychrobacter salsus sp. nov. and Psychrobacter adeliensis sp. nov. isolated from fast ice from Adelie Land, Antarctica

Nine psychrotolerant bacteria were isolated from fast ice in the middle of Geologie Archipelago, Adelie Land, Antarctica and were categorized into two groups, based on their SDS-PAGE profiles. Representatives from each of the two groups, namely strains DD 48^T and SJ 14^T exhibited phenotypic and chemotaxonomic characteristics confirming to the genus Psychrobacter. The 16S rRNA gene sequence indicated that the two isolates are closely related to each other and to the already reported fifteen species of Psychrobacter. Detailed studies on the phenotypic characteristics, chemotaxonomic properties and phylogenetic analysis of strains DD 48^T and SJ 14^T indicated that they are distinctly different from each other and the reported species of Psychrobacter. At the DNA-DNA hybridisation level, the two species exhibit less than 70% similarity. Thus, strains DD 48^T and SJ 14^T are identified as new species of the genus Psychrobacter for which the names Psychrobacter salsus sp. nov. and Psychrobacter adeliensis sp. nov. respectively are proposed.     

Enzyme polymorphism in three species of Metanephrops (Decapoda: Nephropidae) from Taiwan

Electrophoretic analysis of 22 genetic Loci coding for 17 enzymes was used to investigate relationships among three species of Metanephrops (M. thomsoni M. formosanus and M. japonicus var) from Taiwan. Eleven Ioci are identically monomorphic in the three species. Only one Iocus Sdh was diagnostic for identification of the three species. Electrophoretically detectable variation was confined to three species of Metanephrops with Iow frequency — the unique alleles of ALk, Gdh, Gpi, Me-1 and 6-Pgdh. The proportion of polymorphic loci (0.95 level) ranged from 0.047 to 0.091 and expected average heterozygosity 0.0043–0.0232. Estimates of Nei's genetic distances between the three species suggest that M. formosanus and M. japonicus var. are closely related.     

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.     

Cyanobacteria—a potential source of new biologically active substances

Hydrophilic and lipophilic extracts of twelve cyanobacterial strains, isolated from fresh and brackish water, and two waterblooms, collected during the summer from the Baltic Sea, were investigated for their antibiotic activities against seven microorganisms. No inhibitory effects were found against the three Gram-negative bacteria Escherichia coli, Proteus mirabilis and Serratia marcescens and the yeast Candida maltosa. Of all cyanobacterial samples, extracts from seven species inhibited the growth of at least one of the Gram-positive bacteria Micrococcus flavus, Staphylococcus aureus and Bacillus subtilis. M. flavus proved to be the most sensitive bacterium in the agar diffusion test system. In particular, the hexane and dichlormethane extracts showed antimicrobial effects. But only one water extract, prepared from material of a natural waterbloom, was found to be active.     

Numerical classification and identification of Acinetobacter genomic species

A total of 211 Acinetobacter strains (representing all currently recognized genomic species) were tested for 329 biochemical characters. Overall similarities of all strains were determined for 145 characters by numerical taxonomic techniques, the UPGMA algorithm and the S _SM and the S _J coefficients as measures of similarity. Seven clusters (two or more strains) and three unclustered strains were recovered at a similarity level of 80.0% ( S _SM). At this level a complete correspondence between phenotypic cluster and genomic species was found only for genomic species 12 ( Ac. radioresistens ). At higher similarity levels (84.0% to 84.6% ( S _SM)), however, several subclusters were found, each representing a single genomic species. An exception were the strains belonging to the genetically closely related species of the Acinetobacter calcoaceticus-baumannii complex. These were recovered scattered in several subclusters. The degree of genomic relatedness between some DNA groups correlated with phenotypic similarities, especially for DNA group 8 ( Ac. lwoffii ) and 15 of Tjernberg and Ursing, and for DNA group 4 ( Ac. haemolyticus ) and 6.
For the majority of genomic species, two identification matrices were constructed consisting of 22 and 10 diagnostic characters, respectively. The correct identification rates for the matrices were 98.0% (22 tests) and 90.8% (10 tests) taking a Willcox probability >0.9. For unambiguous identification of some genomic species, however, additional methods (preferably DNA-DNA hybridization or ribotyping) should be used.