A numerical taxonomic study of Pseudomonas strains from spoiled meat

A numerical taxonomic study using 160 unit characters has been performed on 110 isolates of pseudomonads from aerobically spoiled beef and pork and on 13 named strains from the genus Pseudomonas. Four clusters of meat strains were detected at 87% S. Non-fluorescent strains were contained in two closely related clusters (1 and 2) which were identified with P. fragi. Clusters 3 and 4 contained fluorescent strains which were distinct from P. fluorescens, P. putida and the other named strains examined. An identification scheme based on 11 carbon source tests is presented for the recognition of cluster members.     

A numerical taxonomic study of Flavobacterium-Cytophaga strains from dairy sources

Phenotypic data on 203 Gram-negative non-fermentative bacteria of the Flavobacterium-Cytophaga group isolated from milk and butter were analyzed by numerical taxonomic techniques. Twenty reference strains including species of Flavobacterium, Cytophaga and strains of Pseudomonas paucimobilis were included in the study. Using the matching coefficient of Sokal & Michener with antibiotic susceptibility data included, 139 isolates were recovered in nine clusters. Six of these clusters were linked at or above the 85% S level while three were linked at or above the 79% S level. The largest cluster, representing 46.3% of the isolates, could be equated with Flavobacterium sp. Group IIb. Other clusters could be equated with Flavobacterium sp. L 16/1 (22.7% of isolates), F. balustinum (10.8% of isolates), F. breve (4.4%), F. multivorum (3.5%) and Cytophaga johnsonae (1.5%). The cluster resembling Flavobacterium sp. L 16/1 and a smaller unclassified cluster, were exceptional in being susceptible to the antibiotics cephalothin and penicillin G.     

A numerical taxonomic study of Propionibacterium strains from dairy sources

T.J. BRITZ AND K-H.J. RIEDEL. 1991. Phenotypic results from 81 tests conducted on 73 propionibacteria, including five type strains, 22 reference strains, unidentified propionibacteria and strains isolated from dairy sources, were analysed by numerical taxonomy. Characters giving uniform results were excluded. With the simple matching coefficient and the single linkage cluster analysis, 61 cultures were recovered in five major clusters. Final linkage of all the Propionibacterium cultures examined was at the 77% S-level. The results clearly showed that it was possible to distinguish between the 'classical' and 'cutaneous' Propionibacterium spp., corresponding with the type habitat of each group. The major 'classical' clusters were equated with the P. freudenreichii, P. thoenii, P. jensenii and P. acidipropionici species, while the only major 'cutaneous' cluster was equated with the P. acnes species. The major clusters were identified by relating them to specific type strains and by comparing phenotypic characteristics. The differentiating characteristics of each cluster were determined. The largest cluster, representing 37% of the strains, was equated with P. jensenii but contained cultures that produced an atypical brown/red pigment. These strains, although positively identified as P. jensenii , could also be identified as the 'old' P. rubrum ' species. Thus if pigmentation is used as differential characteristic two distinct groups of propionibacteria could be identified within the P. jensenii species.     

A numerical taxonomic study of Flavobacterium-Cytophaga strains from dairy sources

Phenotypic data on 203 Gram-negative non-fermentative bacteria of the Flavobacterium-Cytophaga group isolated from milk and butter were analyzed by numerical taxonomic techniques. Twenty reference strains including species of Flavobacterium, Cytophaga and strains of Pseudomonas paucimobilis were included in the study. Using the matching coefficient of Sokal & Michener with antibiotic susceptibility data included, 189 isolates were recovered in nine clusters. Six of these clusters were linked at or above the 85% S level while three were linked at or above the 79% S level. The largest cluster, representing 46.3% of the isolates, could be equated with Flavobacterium sp. Group IIb. Other clusters could be equated with Flavobacterium sp. L 16/1 (22.7% of isolates), F. balustinum (10.8% of isolates), F. breve (4.4%), F. multivorum (3.5%) and Cytophaga johnsonae (1.5%). The cluster resembling Flavobacterium sp. L 16/1 and a smaller unclassified cluster, were exceptional in being susceptible to the antibiotics cephalothin and penicillin G.     

A numerical taxonomic study of Leuconostoc oenos strains from wine

Phenotypic data of 108 tests conducted on 70 malolactic bacteria, including 54 presumptive Leuconostoc oenos strains, five presumptive pediococci isolated from wine and 11 reference strains, were analysed by numerical taxonomic techniques. Using the simple matching coefficient, 58 strains were grouped in six clusters at the 87% S level. Cell wall analysis of the interpeptide bridges and morphology was also used to differentiate between the strains. No L. oenos reference strains were found to group in any cluster. The hypothetical median organism (HMO) of cluster A was related at only the 63% S level to the L. oenos type strain and it is proposed that these strains be regarded as 'L. gracile'. The majority of the L. oenos strains (35) grouped together at above the 91% S level in cluster B, with the HMO of this cluster related at the 75% S level to the L. oenos type strain. Results indicate that the majority of L. oenos strains included in this study are closely related, but more research is needed to justify the separation of these strains into more than one species.     

A numerical taxonomic study of fluorescent Pseudomonas strains isolated from natural mineral waters

M. ELOMARI, L. COROLER, D. IZARD AND H. LECLERC. 1995. Forty-six strains of fluorescent pseudomonads, isolated from natural mineral waters, together with 12 strains from clinical material and 44 reference strains, were phenotypically classified by 281 characteristics. The data were processed by the Dice similarity coefficient and unweighted pair group algorithm with arithmetic averages. Eight clusters were defined at the 62% similarity level. Clusters I, II and IV were further divided into nine subclusters. Virtually all the mineral water strains fall into three groups: Ib (eight strains), Ha (14 strains) and V (16 strains). Subclusters Ib and IIa included natural mineral water strains only. Cluster V contained 13 mineral water strains and three culture collection strains of Pseudomonas fluorescens biovar III. DNA/DNA hybridization studies are needed to define the taxonomic status of these three groups within the genus Pseudomonas.     

A numerical taxonomic study on heterophyid trematodes

A numerical taxonomy was studied on a group of heterophyid trematodes and analysis was made on the following species: Metagonimus yokogawai (3 OTU, Operational Taxonomic Unit), Metagonimus Miyata Type (3 OTU), Metagonimus takahashii (2 OTU), Heterophyes dispar (2 OTU), Heterophyes heterophyes (1 OTU), Heterophyes nocens (2 OTU), Heterophyopsis continua (1 OTU), Pygidiopsis summa (3 OTU), Stellantchasmus falcatus (2 OTU) and Stictodora lari (2 OTU). Twenty-six morphological characters were measured and their values were expressed as relative ratios. Similarity and correlation matrix among each individuals were calculated. Clustering analysis by Ward's method and factor analysis were performed using the SAS (Statistical Analysis System) package. As a result, the groups belonging to the genus of Metagonimus were divided into three phenons (Metagonimus yokogawai, Metagonimus Miyata Type, M. takahashii), and Metagonimus Miyata Type was classified as the level of subspecies of M. takahashii. The groups belonging to the genus Heterophyes were clearly divided into three phenons (Heterophyes dispar, H. heterophyes, H. nocens), and H. nocens was classified as not a subspecies level of H. heterophyes but a distinct species. Other species were classified as distinct phenons. From these results, the application of numerical taxonomy on trematode classification is considered to be a great aid to determine the limit of taxa.     

Analysis of a group of Corynebacterium by numerical taxonomic methods]

Strains (29) of Corynebacterium genus were studied with the use of the method of numerical taxonomy. 48 characteristics (including morphological, tinctorial, cultural and biochemical ones) were analyzed. All the strains tested proved to belong to the same taxon. The present method permitted to reveal various biotypes within the group studied.     

Influence of acetohydroxamic acid on experimental Corynebacterium renale pyelonephritis.

The role of Corynebacterium renale urease in the establishment of pyelonephritis was studied by the oral administration of acetohydroxamic acid (AHA), a urease inhibitor, to experimentally infected rats. The bacteria were introduced by surgical insertion of a zinc disc containing 1 X 10(6) colony-forming units of C-renale into the urinary bladder whereas sterile discs were implanted in the bladders of the control animals. Daily administration of AHA via the drinking water did not halt the development of pyelonephritis. Larger doses, given by gavage, did accomplish this goal; that is, the pH of the urine was lowered, the number of colony-forming units of C. renale in the kidney was reduced drastically, and pyelonephritic lesions were observed in the kidney by light-microscopic examination. All experimental rats developed cystitis in varying degrees of severity. About 70% of the intact AHA given by gavage was excreted in the urine 24 h after administration of this compound. Rats implanted with a urease-negative mutant of C. renale displayed no signs of pyelonephritis but did develop cystitis.     

A numerical taxonomic study of Actinobacillus, Pasteurella and Yersinia

A numerical taxonomic study of strains of Actinobacillus, Pasteurella and Yersinia, with some allied bacteria, showed 23 reasonably distinct groups. These fell into three major areas. Area A contained species of Actinobacillus and Pasteurella: A. suis, A. equuli, A. lignieresii, P. haemolytica biovar A, P. haemolytica biovar T, P. multocida, A. actinomycetemcomitans, 'P. bettii', 'A. seminis', P. ureae and P. aerogenes. Also included in A was a composite group of Pasteurella pneumotropica and P. gallinarum, together with unnamed groups referred to as 'BLG', 'Mair', 'Ross' and 'aer-2'. Area B contained species of Yersinia: Y. enterocolitica, Y. pseudotuberculosis, Y. pestis and a group 'ent-b' similar to Y. enterocolitica. Area C contained non-fermenting strains: Y. philomiragia, Moraxella anatipestifer and a miscellaneous group 'past-b'. There were also a small number of unnamed single strains.     

A numerical taxonomic study of the Pseudomonas flora isolated from poultry meat

Pseudomonas strains were isolated from both fresh and cold-stored broiler skin. Phenotypically-based numerical taxonomic techniques were used to characterize the isolates and 36 reference strains. For this purpose, Biolog GN Microplates, API 20NE and a number of other biochemical tests were used. Jaccard clustering revealed the predominance of four major Pseudomonas groups: Ps. fragi, Ps. lundensis, strains belonging to Ps. fluorescens biovars and an unidentified group of strains displaying a high degree of similarity to Ps. fluorescens biovars. Within Ps. fluorescens, biovar A was best represented. The marked proteolytic character of members of Ps. fluorescens biovars A, B and C, as well as of members of the unidentified cluster, supports their possible role in the origin of organoleptic defects. In the Ps. lundensis cluster, a distinct group of Ps. lundensis-like species was found. Further genotypic studies should be carried out to clarify the taxonomic status of the Ps. lundensis-like strains and that of the unidentified group resembling Ps. fluorescens biovars A and B.     

A numerical taxonomic study of non-motile non-fermentative Gram-negative bacteria from foods

A numerical taxonomic study using 155 unit characters was performed on 63 strains of Gram-negative non-motile non-fermentative bacteria isolated from proteinaceous foods. Similar bacteria from other sources and several Pseudomonas strains from meat were included for reference purposes. Three clusters were observed at 76% S which contained all the food strains. Cluster 1 was composed entirely of Acinetobacter strains including 17 isolated from foods that were provisionally identified with Acinetobacter johnsonii. Cluster 2 contained 22 strains identified as Psychrobacter immobilis , of which 20 were from food. Cluster 3 contained all the Pseudomonas reference strains and 26 non-motile strains isolated from meat. These were shown to be non-motile variants of Pseudomonas fragi. A simple identification scheme, based on five tests, is presented for the distinction of the three types of bacteria.