A probability matrix for the identification of vibrios

A probability matrix for computer-assisted identification of vibrios has been constructed, based on the API 20E system. Data were gathered from 173 strains representing 31 taxa of vibrios and related organisms, from a variety of sources. The matrix was tested internally by four statistical programs. Program OVERMAT tested the separation and program MOSTTYP the discretion and homogeneity of the taxa. Most of the taxa were satisfactory but a few were less so; reasons for this are discussed. Program CHARSEP and program DIACHAR tested the separation and diagnostic values, respectively, of the characters used. The overall test error was 4.5%. The matrix was assessed externally by its performance in the identification of vibrio-like strains isolated from freshwater. Of 243 wild strains, 79.4% were identified with ten taxa, with a Willcox score of greater than or equal to 0.99.     

A probability matrix for the identification of species of Vibrio and related genera

A matrix for the probabilistic identification of species of Vibrio and related genera has been constructed using the data from 1091 strains collected throughout the world and classified. Thirty-eight phenons are included in the matrix, 31 of these represent previously identified species or biovars and seven represent phenons which could not be identified and may represent new species. The identification matrix incorporates 81 characters although a subset of 30 tests can be used to distinguish the 38 phenons from each other. The additional 51 tests were included to assist the identification of some strains for which the initial 30 tests were inadequate. No significant cluster overlap was found at the 5% level and the identification score for the Hypothetical Median Organism of each cluster exceeded 0.9999 in all cases.     

A probability matrix for the identification of species of Vibrio and related genera

A matrix for the probabilistic identification of species of Vibrio and related genera has been constructed using the data from 1091 strains collected throughout the world and classified. Thirty-eight phenons are included in the matrix, 31 of these represent previously identified species or biovars and seven represent phenons which could not be identified and may represent new species. The identification matrix incorporates 81 characters although a subset of 30 tests can be used to distinguish the 38 phenons from each other. The additional 51 tests were included to assist the identification of some strains for which the initial 30 tests were inadequate. No significant cluster overlap was found at the 5% level and the identification score for the Hypothetical Median Organism of each cluster exceeded 0.9999 in all cases.     

A probability matrix for the identification of campylobacters, helicobacters and allied taxa

A probabilistic identification matrix for campylobacteria, comprising 67 phenotypic characters and 37 taxa, is described. The accuracy and integrity of the matrix was evaluated using established computer-assisted methods. Certain taxa (for example, Campylobacter concisus and Camp. gracilis ) demonstrated significant phenotypic diversity; previous data corroborated these findings. Differentiation between a few pairs of taxa proved difficult, although discriminatory characteristics were noted in each of these cases. The results indicate that most campylobacteria can be identified accurately and objectively with phenotypic tests when probabilistic methods of data assessment are employed.     

A revised probability matrix for the identification of gram-negative, aerobic, rod-shaped, fermentative bacteria

The results of the identification of 933 strains of Gram-negative, aerobic, rod-shaped, fermentative bacteria (Enterobacteriaceae, Pasteurellaceae, Vibrionaceae) by a probabilistic method, in a computer, are given. The identification rate on the matrix was 89.2%. Many of the strains were atypical and had caused difficulty in identification in medical diagnostic laboratories. The results are given for each taxon by genus and species.     

A probability matrix for the identification of gram-negative, aerobic, non-fermentative bacteria that grow on nutrient agar

Results of the identification of 621 strains of Gram-negative, aerobic, non-fermentative bacteria by a computer-based probabilistic method are given. Although many of the strains were atypical and have caused difficulty in identification in the medical diagnostic laboratory, the identification rate on this matrix was 91.5%.     

Miniaturized tests for computer-assisted identification of motile Aeromonas species with an improved probability matrix

AIMS: To develop miniaturized tests for the phenotypic identification of motile Aeromonas species using an improved probability matrix. METHODS AND RESULTS: Conventional tests were miniaturized for use in 96-well plates, and their performance assessed using 60 aeromonads comprising type and reference strains as well as clinical, fish and water isolates. A revised probability matrix for Aeromonas hybridization groups 1-14, including A. allosaccharophila, A. bestiarum, A. encheleia and A. popoffii, was developed. Using 26 tests, all the reference strains were correctly identified with the revised probability matrix, and 80% of the isolates were correctly identified at a Willcox probability level of 95%. CONCLUSION: The compact test format, coupled with a robust identification matrix, provides a convenient basis for identifying motile aeromonads. SIGNIFICANCE AND IMPACT OF THE STUDY: The identification system for identifying aeromonads will be of use to medical and veterinary laboratories undertaking disease diagnosis.     

New probability matrices for identification of Streptomyces

The character state data obtained for clusters defined in a previous phenetic classification were used to construct two probabilistic matrices for Streptomyces species. These superseded an original published identification matrix by exclusion of other genera and the inclusion of more Streptomyces species. Separate matrices were constructed for major and minor clusters. The minimum number of diagnostic characters for each matrix was selected by computer programs for determination of character separation indices (CHARSEP) and a selection of group diagnostic properties (DIACHAR). The resulting matrices consisted of 26 phena x 50 characters (major clusters) and 28 phena x 39 characters (minor clusters). Cluster overlap (OVERMAT program) was small in both matrices. Identification scores were used to evaluate both matrices. The theoretically best scores for the most typical example of each cluster (MOSTTYP program) were all satisfactory. Input of test data for randomly selected cluster representatives resulted in correct identification with high scores. The major cluster matrix was shown to be practically sound by its application to 35 unknown soil isolates, 77% of which were clearly identified. The minor cluster matrix provides tentative probabilistic identifications as the small number of strains in each cluster reduces its ability to withstand test variation. A diagnostic table for single-membered clusters, constructed using the CHARSEP and DIACHAR programs, was also produced.     

A frequency matrix for probabilistic identification of some bacilli

A matrix comprising frequencies for positive results for 44 Bacillus taxa for 30 characters has been constructed. The 44 taxa include most of the common species and several clusters of environmental isolates including those described as B. firmus-B. lentus intermediates. The tests, which were chosen for their high diagnostic value, included some of the traditional tests used for identification of bacilli supplemented with a range of sugar fermentations and other characterization tests. The matrix was evaluated by identifying hypothetical median organisms, cluster representatives and a panel of 23 reference strains. All reference strains achieved Willcox probabilities above 0.995. Fifty-eight environmental isolates were also subjected to the 30 tests and identification was attempted. Forty-one strains (70%) achieved a Willcox probability greater than 0.95, which was considered an acceptable identification, and were assigned to 12 taxa. If the SE of taxonomic distance was also considered in the identification score (an acceptable value being less than 7.0), the number of acceptable identifications was reduced to 34 (59%). It was encouraging that bacteria from garden soils identified to the common species such as B. subtilis, B. cereus and B. licheniformis whereas some of the bacteria from an estuarine habitat were identified as species such as B. firmus which are normally identified with that habitat.     

The use of the gene hybridization method for the identification of epidemiologically dangerous strains of cholera vibrios

Using the labeled DNA fragments containing the genes for cholera toxin the strains of cholera vibrios were studied for the presence of cholera toxin genes. Vibrio cholerae strains isolated from natural water reservoirs under the favourable epidemic situation do not contain the cholera toxin genes. The DNA hybridization method was compared with other methods used in research and practical work for estimation of epidemic importance of cholera vibrios.     

Phylogeny and molecular identification of vibrios on the basis of multilocus sequence analysis

We analyzed the usefulness of rpoA, recA, and pyrH gene sequences for the identification of vibrios. We sequenced fragments of these loci from a collection of 208 representative strains, including 192 well-documented Vibrionaceae strains and 16 presumptive Vibrio isolates associated with coral bleaching. In order to determine the intraspecies variation among the three loci, we included several representative strains per species. The phylogenetic trees constructed with the different genetic loci were roughly in agreement with former polyphasic taxonomic studies, including the 16S rRNA-based phylogeny of vibrios. The families Vibrionaceae, Photobacteriaceae, Enterovibrionaceae, and Salinivibrionaceae were all differentiated on the basis of each genetic locus. Each species clearly formed separated clusters with at least 98, 94, and 94% rpoA, recA, and pyrH gene sequence similarity, respectively. The genus Vibrio was heterogeneous and polyphyletic, with Vibrio fischeri, V. logei, and V. wodanis grouping closer to the Photobacterium genus. V. halioticoli-, V. harveyi-, V. splendidus-, and V. tubiashii-related species formed groups within the genus Vibrio. Overall, the three genetic loci were more discriminatory among species than were 16S rRNA sequences. In some cases, e.g., within the V. splendidus and V. tubiashii group, rpoA gene sequences were slightly less discriminatory than recA and pyrH sequences. In these cases, the combination of several loci will yield the most robust identification. We can conclude that strains of the same species will have at least 98, 94, and 94% rpoA, recA, and pyrH gene sequence similarity, respectively.     

A comparison of three methods for assaying hydrophobicity of pathogenic vibrios

The surface hydrophobicity of strains of Vibrio alginolyticus, V. carchariae, V. damsela, V. harveyi and V. vulnificus , isolated from either diseased cultured grouper ( Epinephelus malabaricus ) or penaeids ( Penaeus monodon and P. japonicus ) was determined using three different methods:the salt aggregation test (SAT), bacterial adhesion to hydrocarbons test (BATH), and adherence to nitrocellulose filters test (NCF). The results obtained indicate that all the strains tested showed some degree of hydrophobicity with the type strain of V. harveyi (ATCC 25919) showing strong hydrophobic properties in all the methods. The SAT method used in the present study was modified to a microtitre tray test, an easier test to read than the conventional in glass slide methodology. All the 13 test strains were positive in the BATH test when n -octane was used as the solvent, but only one strain was positive when n -hexadecane was used as the solvent. It is suggested that this method using n -octane as solvent is suitable for assaying the hydrophobicity of pathogenic vibrios isolated from diseased aquatic animals.     

Estimation of diagnostic value of the microtest systems for biochemical identification of vibrios groups and their typing according to Heiberg's method

Diagnostic value determination of microtest systems for biochemical identification of vibrios and their groups identification according to Heiberg's was made with the use of 260 collection strains of V. cholerae O1 and non-O1, as well as microorganisms belonging to other genera and families. The newly developed microtest systems were found to have a number of advantages over the traditional test tube method being more economic, ensuring rapid identification, standard and reproducible results.     

Cytological identification and characterization of the nuclear matrix

The presence of a matrix system in the nucleus has been cytologically demonstrated in intact untreated and α-amanitin-treated HeLa and rat kangaroo cells. The matrix is Feulgen negative and is stained very faintly with toluidine blue, whereas it can be brightly stained with haemalum or light green. It is highly susceptible to pepsin digestion but resistant to RNase. Ultrastructurally the matrix consists of 50–60 Å thick fibrils. Some granules, which may be ribonuclear protein granules are also found associated with the fibrils. The matrix is essentially a network of acidic protein.