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.     

Numerical characterization study of Micrococcaceae associated with lamb spoilage

A computer-assisted characterization of 296 Micrococcaceae isolates obtained from aerobically chill-stored lamb carcasses was carried out using a probability matrix and Bayesian identification theorems, complemented with cluster analysis. Preliminary identification was done with an original probability matrix comprising 37 previously described taxa and 32 tests. Although its statistical quality was adequate, the percentage of identification of field strains to species level was only 70% (96.6% identified with genera). To achieve an improved characterization, cluster analysis was subsequently performed on this group and an additional 26% could be associated with defined species, with five more taxa defined. The combined use of both approaches was judged positive as new identifications and better discrimination could be achieved. The majority of our isolates belonged to the Staphylococcus species group. Many species and groups of staphylococci increased as the spoilage progressed.     

A reappraisal of the terverticillate penicillia using biochemical, physiological and morphological features. II. Identification

The data from an integrated numerical classification was used to construct identification schemes for some fasciculate penicillia. The identification schemes were presented as a synoptic key and a frequency matrix for computer-assisted identification. Statistical testing of the frequency matrix showed that although character separation values were generally low, only four pairs of taxa showed overlap greater than that expected for a rectangular distribution. The identification schemes were tested practically with 52 previously studied strains and 51 further cultures. A synoptic key based on 10 and 90% cutoff limits was used to correctly identify 44 of the 51 additional strains, although this proved very sensitive to single test discrepancies. The frequency matrix was used to correctly identify 45 of the additional strains with a Willcox probability score and this was compared to identifications based on the modal likelihood fraction.     

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 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 ζ 0–99.     

A numerical classification of the genus Bacillus

Three hundred and sixty-eight strains of aerobic, endospore-forming bacteria which included type and reference cultures of Bacillus and environmental isolates were studied. Overall similarities of these strains for 118 unit characters were determined by the SSM, SJ and DP coefficients and clustering achieved using the UPGMA algorithm. Test error was within acceptable limits. Six cluster-groups were defined at 70% SSM, which corresponded to 69% SP and 48-57% SJ. Groupings obtained with the three coefficients were generally similar but there were some changes in the definition and membership of cluster-groups and clusters, particularly with the SJ coefficient. The Bacillus strains were distributed among 31 major (4 or more strains), 18 minor (2 or 3 strains) and 30 single-member clusters at the 83% SSM level. Most of these clusters can be regarded as taxospecies. The heterogeneity of several species, including Bacillus brevis, B. circulans, B. coagulans, B. megateriun, B. sphaericus and B. stearothermophilus, has been indicated and the species status of several taxa of hitherto uncertain validity confirmed. Thus on the basis of the numerical phenetic and appropriate (published) molecular genetic data, it is proposed that the following names be recognized; Bacillus flexus (Batchelor) nom. rev., Bacillus fusiformis (Smith et al.) comb. nov., Bacillus kaustophilus (Prickett) nom. rev., Bacillus psychrosaccharolyticus (Larkin & Stokes) nom. rev. and Bacillus simplex (Gottheil) nom. rev. Other phenetically well-defined taxospecies included 'B. aneurinolyticus', 'B. apiarius', 'B. cascainensis', 'B. thiaminolyticus' and three clusters of environmental isolates related to B. firmus and previously described as 'B. firmus-B. lentus intermediates'. Future developments in the light of the numerical phenetic data are discussed.     

Numerical classification and identification of Bacillus sphaericus including some strains pathogenic for mosquito larvae

Ninety-one strains of Bacillus sphaericus, including representatives of all the established DNA homology groups, related round-spored and oval-spored species, and six strains pathogenic for mosquito larvae, were examined for 155 characters. Numerical analyses (Jaccard coefficient/average linkage clustering) based on the 88 variable features revealed 14 clusters at the 79% similarity level that contained more than one strain and 17 single member clusters. All insect pathogenic strains were recovered in a single cluster and the classification was in accord with an established classification based on DNA sequence homology. Two frequency matrices for probabilistic identification were constructed and tested. A comprehensive matrix comprising 14 mesophilic, round-spored taxa and 27 tests gave good results for identification of hypothetical median organisms, cluster overlap and identifications of representative strains (based on data generated in the classification study). Reference strains for the 14 taxa and eight additional insect pathogenic strains were examined for the 27 tests and were correctly identified with high scores using this matrix. A second matrix comprising seven taxa and 13 tests also performed well in the theoretical evaluation and correctly identified the reference strains and insect pathogenic strains.     

Phenotypic identification of non-clinical isolates of Acinetobacter species

Five different phenotypic identification systems were used in attempts to place 164 Acinetobacter strains obtained from a biological nutrient removal plant and 16 reference cultures into the genospecies of Bouvet and Grimont, and Tjernberg and Ursing. Of these strains only four, including two of the reference strains, were identified at a Willcox probability level of >0·95 and a modal likelihood fraction of > 0·0001 by all five systems. These different identification schemes were compared for their usefulness with such non-clinical isolates.     

Identification of aerobic mesophilic bacilli isolated from board and paper products containing recycled fibres

AIMS: To identify aerobic mesophilic bacteria isolated from coreboard, kitchen roll paper and food packaging boards containing recycled fibres and to create a rapid fingerprint-based database for their identification. METHODS AND RESULTS: A total of 197 isolates and 20 relevant type strains were characterized by automated ribotyping and as far as possible identified by the similarities of their riboprints to the relevant type strains. One strain from each unidentified ribotype, a total of 87 strains, was subjected to partial 16S rDNA sequencing and in most cases also to fatty acid analysis and physiological tests. From the isolates 113 and seven different ribotypes were generated belonging to the genera Bacillus and Paenibacillus, respectively. The dominating species, or closest related to them, were B. simplex (22.8% of isolates), B. licheniformis (18.3%) and B. amyloliquefaciens (12.7%); 5.1% of the isolates were identified as B. cereus, a potential food-borne pathogen. In particular, this species was present in one food packaging board (26.3% of isolates). Based on these results, 40.1% of the isolates and 45.0% of ribotypes were so different from the relevant type strains that they may represent novel species. CONCLUSIONS: All isolates were aerobic spore-formers, indicating that all non-spore-formers were eliminated during the drying stage of the processes. Although many isolates could be affiliated to described species of Bacillus or Paenibacillus, a significant proportion of the isolates could not be identified unambiguously as members of a described species. SIGNIFICANCE AND IMPACT OF THE STUDY: A RiboPrint identification database, composed of 120 composite patters, was established for bacteria originating from the pulp and paper industry. Considering the discrimination power of ribotyping, this database will be extremely useful in future for the reliable and rapid identification of bacteria isolated from pulp and paper industrial sources.     

A riboprinting scheme for identification of unknown Acanthamoeba isolates at species level

We describe a riboprinting scheme for identification of unknown Acanthamoeba isolates at the species level. It involved the use of PCR-RFLP of small subunit ribosomal RNA gene (riboprint) of 24 reference strains by 4 kinds of restriction enzymes. Seven strains in morphological group I and III were identified at species level with their unique sizes of PCR product and riboprint type by Rsa I. Unique RFCP of 17 strains in group II by Dde I, Taq I and Hae III were classified into: (1) four taxa that were identifiable at the species level, (2) a subgroup of 4 taxa and a pair of 2 taxa that were identical with each other, and (3) a species complex of 7 taxa assigned to A. castellanii complex that were closely related. These results were consistent with those obtained by 18s rDNA sequence analysis. This approach provides an alternative to the rDNA sequencing for rapid identification of a new clinical isolate or a large number of environmental isolates of Acanthamoeba.     

Evaluation of the VITEK2 BCL card for identification of Bacillus species and other aerobic endosporeformers

Aims:  To evaluate the performance of the VITEK2 Bacillus identification card (BCL) for the identification of aerobic endospore-forming bacteria, using fresh isolates and reference strains.
Methods and Results:  One hundred and nine industrial, environmental and clinical isolates were tested using the BCL card. The card contained 46 substrates for measuring carbon source utilization, enzymatic activities, inhibition by 6·5% NaCl and resistance to the antibiotics kanamycin, oleandomycin and polymyxin B. Identifications were made after 14 h incubation, using a database allowing identification of 42 species of the genera Aneurinibacillus , Bacillus , Brevibacillus , Geobacillus , Paenibacillus and Virgibacillus . The reference identities of all isolates were authenticated by phenotypic methods, with 16S rRNA gene sequencing used to resolve discrepancies.
Conclusions:  One hundred and one strains (93%) were identified correctly to species level, seven strains (6%) were incorrectly identified, and one strain (1%) remained unidentified.
Significance and Impact of the Study:  The VITEK2 BCL card provides a major advance in the reliable identification of Bacillus species and members of related genera.     

Evaluation of the Biolog automated microbial identification system.

Biolog's identification system was used to identify 39 American Type Culture Collection reference taxa and 45 gram-negative isolates from water samples. Of the reference strains, 98% were identified to genus level and 76% to species level within 4 to 24 h. Identification of some authentic strains of Enterobacter, Klebsiella, and Serratia was unreliable. A total of 93% of the water isolates were identified.     

Evaluation of the Biolog automated microbial identification system

Biolog's identification system was used to identify 39 American Type Culture Collection reference taxa and 45 gram-negative isolates from water samples. Of the reference strains, 98% were identified to genus level and 76% to species level within 4 to 24 h. Identification of some authentic strains of Enterobacter, Klebsiella, and Serratia was unreliable. A total of 93% of the water isolates were identified.     

Thermotolerant varieties of Bacillus licheniformis isolated from desert environments

One hundred and nineteen thermotolerant and thermophilic Bacillus strains isolated from solar-heated and non-heated environments in Jordan were classified by numerical techniques. Some strains were classified into thermophilic taxa which did not equate with established species. However, most of the isolates were identified phenotypically as Bacillus licheniformis, a conclusion supported by the high DNA hybridization which was detected between these strains and a reference strain of this species (gt64% at optimal renaturation temperature). Several of the B. licheniformis isolates had a higher ratio of iso-C₁₅ and iso-C₁₇ fatty acids to the anteiso equivalents in their membranes than the reference strain of B. licheniformis and they grew more strongly at high temperature than the reference strain. This suggests that the B. licheniformis isolates represent thermotolerant variants of this species.     

Phylogenetic relationships of Riemerella anatipestifer serovars and related taxa and an evaluation of specific PCR tests reported for R. anatipestifer

Aims: The aims of the present investigation were to characterize and identify serovars of Riemerella anatipestifer and Riemerella‐like isolates genetically and to test the specificity of PCR tests reported for the identification of R. anatipestifer. Methods and Results: A total of 50 isolates from poultry tentatively classified with Riemerella anatipestifer were characterized genetically by partial sequencing of rpoB and by nearly full sequencing of the 16S rRNA gene for selected isolates. The results obtained were compared with the data from 13 reference strains by phylogenetic analysis. A total of 41 isolates were identified as R. anatipestifer, three as Wautersiella falsenii like, a single isolate as Pelistega europaea, while five isolates were classified as new, unnamed taxa. None of the reported PCR tests for identification of R. anatipestifer were found specific. Conclusions: Characterization of R. anatipestifer and related bacteria by traditional methods is often inconclusive because of inconsistent reactions and phenotypic diversity. For the same reason, gene sequencing and phylogenetic analysis are essential to allow proper classification and identification as demonstrated in the present study. Significance and impact of the Study: The present investigations demonstrated that isolates of R. anatipestifer are often misidentified, and that new serovars should not be accepted unless they have been properly characterized by relevant genetic methods such as gene sequencing. In addition, we showed that the published PCR tests are not specific for this species. Finally, two new taxa were outlined, the final taxonomic positions of which remain to be identified.     

Numerical Taxonomy of Aerobic,Gram-negative Bacteria associated with Oysters and Surrounding Seawater of the Mediterranean Coast

A numerical taxonomic study was performed on 245 strains of heterotrophic, aerobic, marine bacteria, plus 26 reference strains. The isolates were obtained from oysters and seawater sampled monthly over one year, by direct plating on Marine Agar. The strains were characterised by 93 morphological, biochemical, physiological and nutritional tests. Clustering yielded 46 phena at 0.60 S level (S_J coefficient). Some could be identified as species of Alteromonas, Shewanella, Deleya, Flavobacterium, Oceanospirillum, Pseudomonas and marine Agrobacterium-like organisms, others were unidentified groups. Several phena seem to correspond to as yet undescribed taxa.     

Numerical classification and identification of Aeromonas genospecies.

A total of 176 Aeromonas strains representing all currently characterized genospecies were tested for 329 biochemical characters. Overall similarities of all strains were determined by numerical taxonomic techniques, the UPGMA algorithm and the SSM and the SJ coefficients as measures of similarity. Sixteen clusters (two or more strains) and seven unclustered strains were recovered at the 93.5% similarity level (SSM). Genospecies 1, 4, 5, 6, 7, 9, 12 and 13 were largely represented by single phena, whereas strains of genospecies 2 and 3 were found in closely-related phena. Strains belonging to genospecies 8 formed two distinct biotypes. Strains belonging to genospecies 11 formed a subcluster within a cluster representing different genospecies. In general, similar groupings were obtained with the Jaccard coefficient at a similarity level of 80.0% (SJ) with minor changes in the definition of clusters. The phenetic data showed good correlation with the taxa defined by DNA/DNA hybridization and those obtained by multilocus enzyme analysis. For all genospecies (independent from cluster assignment) 30 diagnostic characters were selected to construct a matrix for probabilistic identification. The correct identification rate of the matrix was 71.51% taking a Willcox probability greater than 0.99, and 83.7% taking a Willcox probability greater than 0.9 as identification threshold levels.     

Numerical taxonomy and ecology of petroleum-degrading bacteria.

A total of 99 strains of petroleum-degrading bacteria isolated from Chesapeake Bay water and sediment were identified by using numerical taxonomy procedures. The isolates, together with 33 reference cultures, were examined for 48 biochemical, cultural, morphological, and physiological characters. The data were analyzed by computer, using both the simple matching and the Jaccard coefficients. Clustering was achieved by the unweighted average linkage method. From the sorted similarity matrix and dendrogram, 14 phenetic groups, comprising 85 of the petroleum-degrading bacteria, were defined at the 80 to 85% similarity level. These groups were identified as actinomycetes (mycelial forms, four clusters), coryneforms, Enterobacteriaceae, Klebsiella aerogenes, Micrococcus spp. (two clusters), Nocardia species (two clusters), Pseudomonas spp. (two clusters), and Sphaerotilus natans. It is concluded that the degradation of petroleum is accomplished by a diverse range of bacterial taxa, some of which were isolated only at given sampling stations and, more specifically, from sediment collected at a given station.     

Diversity of Burkholderia isolates from woodland rhizosphere environments

AIMS: Determination of genetic diversity among UK Burkholderia cepacia isolates from various environmental niches, principally woodland tree rhizospheres and onions. METHODS AND RESULTS: Genus determination was made using polymerase chain reaction (PCR) amplification and fatty acid methyl ester profiling. Genetic diversity was investigated by repetitive sequence genetic PCR fingerprinting. Several onion isolates were similar to clinical isolates but others were diverse. Some environmental isolates were possibly synonymous with B. cepacia and B. gladioli but most from woodland rhizospheres were distinct and clustered together. The 16S rRNA genes of representatives from these clusters were PCR amplified, sequenced and phylogenetically compared with all known Burkholderia and related species. This revealed that the rhizospheric isolates had closest affinity with Burkholderia spp. with known bioremediative and biocontrol capabilities and were unrelated to taxa comprising plant or human pathogenic strains. CONCLUSIONS: All of the analyses investigated revealed that environmental and onion isolates of B. cepacia complex bacteria are genetically diverse but that woodland rhizospheric isolates are related to each other and unrelated to plant or human pathogenic strains. SIGNIFICANCE AND IMPACT OF THE STUDY: Woodland rhizospheric isolates of B. cepacia are potentially good candidates for use in bioremediation and biocontrol, as they appear distinct from plant or human pathogenic strains.     

Evaluation of acid phosphatase as a confirmation test for Clostridium perfringens isolated from water

AIMS: To evaluate testing for acid phosphatase as an alternative method for the confirmation of Clostridium perfringens isolated from water. METHODS AND RESULTS: Sixty-two reference strains of Clostridium were tested for their ability to produce acid phosphatase, as well as reduction of sulfite on tryptose sulfite cycloserine agar (TSC) and production of fluorescence in TSC supplemented with 4-methylumbelliferylphosphate (MUP). Additionally 155 environmental presumptive C. perfringens isolates from TSC incubated at 44 degrees C were identified and tested for acid phosphatase production and by the conventional MNLG (testing for motility, nitrate reduction, lactose fermentation and gelatin liquefaction) confirmation procedure. Twenty-seven strains from 15 species of Clostridium-reduced sulfite to some extent on TSC incubated at 44 degrees C, with a significant number of species being able to grow well at this temperature, indicating that a confirmation step is needed for the enumeration of C. perfringens on this medium. All 10 strains of C. perfringens tested, together with one strain each of Clostridium baratii and Clostridium rectum produced acid phosphatase. These also produced fluorescence on MUP supplemented TSC, as did 13 strains of acid phosphatase negative, sulfite-reducing clostridia, representing nine species. Of the environmental isolates, 114 were identified as C. perfringens of which 108 (94.7%) were confirmed by the acid phosphatase test compared with 104 (91.2%) by the MNLG tests. CONCLUSIONS: Testing for acid phosphatase production is at least as reliable, and much simpler to perform, than the current standard confirmation MNLG procedure. Incorporation of MUP into TSC does not reliably improve the identification of presumptive C. perfringens. SIGNIFICANCE AND IMPACT OF THE STUDY: Application of testing for acid phosphatase as a confirmation test for C. perfringens would substantially simplify the analysis for this bacterium from water samples, and reduce the analysis time to confirmed counts.