Computer-aided comparison of protein electrophoretic patterns for grouping and identification of heterotrophic bacteria from mineral water

The microflora of a natural mineral water was studied immediately after bottling (T0) and after 7 d storage (T7) during 6 months, and isolates were clustered by SDS-PAGE of wholecell protein profiles. Isolates from each cluster were further characterized by API 20NE, fatty acid composition and quinone profiles. The numerical analysis of the electrophoregrams of all bacteria isolated from the mineral water formed 15 clusters and five unclustered strains. Except for five minor clusters, all clusters were composed of strains isolated over several months. The numerical analysis of the electrophoregrams of bacteria isolated immediately after bottling formed 15 clusters while after 7 d storage only four of these populations could be isolated, indicating that populations present in the mineral water were stable and that changes occurring after bottling probably resulted from a selection process. Only one unclustered strain was identified simultaneously by all the systems, as Sphingomonas paucimobilis. The monitoring of the aquifer and the bottling system, and the construction of a large database with bacteria of the autochthonous flora allows the detection of alterations in the aquifer by changes in the microflora.     

Characterization of Phytophthora cinnamomi populations from ornamental plants in South Carolina,USA

Abstract

Fifty-one isolates of Phytophthora cinnamomi isolated from ornamental plants in South Carolina, USA, between 1995 and 2000 were characterized by sporangium morphology, mating type, sensitivity to the fungicide mefenoxam, fatty acid methyl ester (FAME) profile analysis, and amplified fragment length polymorphism (AFLP) analysis. Sporangium shapes were predominantly ovoid to ellipsoid, and size averaged 65.5×40.3 μm (length×breadth) with average length/breadth ratio of 1.6. Forty-nine isolates were the A2 mating type with only two A1 isolates found. This is the first report of the A1 mating type of P. cinnamomi in South Carolina. All isolates were sensitive to mefenoxam and EC₅₀ values for all isolates were less than 0.2 μg ml^?1. FAMEs of each isolate were analysed by gas chromatography and revealed five major fatty acids: myristic (14:0), palmitic (16:0), linoleic (18:2ω6c), oleic (18:1ω9c), and eicosapentaenoic (20:5ω3c) acids. These five fatty acids accounted for more than 80% of FAME profiles. Cluster analysis of FAME profiles showed that individual isolates had unique pattern that could be divided into four major clusters. AFLP analysis based on 200 informative loci also separated isolates into four major clusters. A1 isolates were different from all A2 isolates. The percentage of polymorphic loci (10.5%) and Nei's gene diversity (0.0435) were much higher for the two A1 isolates than for any cluster of A2 isolates even though A2 isolates had more isolates within a cluster. A2 isolates exhibited relatively little genetic variation overall, which suggests that these isolates may have come from a common source.     

Chemotaxonomic characterization of some fast-growing rhizobia nodulating leguminous trees

A total of about 50 strains of rhizobia from two leguminous trees (Acacia andProsopis) were described and compared with 20 reference strains of rhizobia, from other tree and herb legumes on the basis of protein, fatty acid and plasmid profiles, and DNA-DNA hybridization. The rhizobia formed thirteen clusters based on protein profile analysis. These clusters were not in complete agreement with a previously published cluster analysis based on numerical taxonomy of phenotypic characteristics and lipopolysaccharide (LPS) profile analysis (Zhanget al., Int. J. Syst. Bacteriol. 41, 104, 1991; Lindström and Zahran,FEMS Microbiol. Lett. 107, 327, 1993). The fatty acid methyl esters (FAME) of representative strains of rhizobia were analyzed. The rhizobia formed fourteen different clusters based on FAME analysis but the results also conflicted with the phenotypically based methods of analysis. Strains of rhizobia classified in one cluster by any of the above methods of analysis may have shown very different fatty acid profiles. The plasmid profile analysis of the tree rhizobia., on the other hand, was more consistent with the phenotype- and LPS-based numerical analysis. Some strains of the tree rhizobia showed medium or high levels of DNA homology withRhizobium meliloti. The DNA-DNA hybridization correlated well with protein and fatty acid profiles. The described methods provide a significant taxonomic tool for discrimination between rhizobia of leguminous trees. However, further DNA-DNA hybridization studies with other recognized species of rhizobia are needed for proper identification and classification of the diverse rhizobia from leguminous trees.     

Characterisation,differentiation and biochemical diversity of Fusarium solani and Fusarium proliferatum based on cellular fatty acid profiles

The biochemical relationships between Fusarium solani and Fusarium proliferatum isolates were investigated using fatty acid analysis. Cellular fatty acid composition showed that palmitic acid, stearic acid, oleic acid and linoleic acid were the most abundant fatty acids in these species and accounted for 93.88 and 94.02% of the fatty acid profiles in F. solani and F. proliferatum, respectively. The most predominant fatty acids were linoleic acid (37.44%) in F. solani and oleic acid (39.81%) in F. proliferatum. The fatty acid compositions of F. solani and F. proliferatum were significantly different (p?<?0.05) for most of the individual fatty acids. This study demonstrated that fatty acid profiles may be useful to characterise and differentiate F. solani and F. proliferatum isolates at the species level. Using fatty acid analysis, biochemical diversity was observed among isolates of these species. The dendrogramme revealed that F. solani and F. proliferatum formed two distinct clusters with a distance of 7.2. Isolates of each species were clustered with each other, having a Euclidean distance of 6 and 6.6 for F. solani and F. proliferatum, respectively.     

Characterization of Isolates of Fusarium oxysporum Schlecht. f. sp. vasinfectum (Atk.) Snyd. & Hans., Races 1-6, by Cellular Fatty Acid Analysis

Fatty acid analysis, a common method for the identification of bacteria, was modified and applied to characterize isolates of Fusarium oxysporum f. sp. vasinfectum. After evaluating the fatty acid profiles by means of cluster analysis and three-dimensional plotting of the main fatty acids, the isolates were classified into five groups. Identical patterns were obtained for isolates of races 3 and 5 and for isolates of races 2 and 6. Isolates with so far unknown race determinations were arranged into their corresponding fatty acid groups.     

Agromonas oligotrophica gen. nov., sp. nov., a nitrogen-fixing oligotrophic bacterium

Phenotypic and chemotaxonomic characteristics of five isolates of acetylenereducing (nitrogen-fixing) oligotrophic bacteria from a paddy soil were investigated. They showed similar phenotypic characteristics: they were aerobic, asporogenous, gram-negative, motile by a polar flagellum, and irregular rods. On full strength nutrient broth (NB) growth was severely suppressed, but well supported on 10-to 10000-fold diluted NB. They consumed glucose but produced no acid, and also utilized phenolic acids such as ferulic acid or p-coumaric acid. The cellular fatty acid composition, quinone system and DNA base composition of the isolates were investigated. Cellular fatty acids mainly consisted of straightchain unsaturated C_{18 : 1} (62–81% of total fatty acids). Ubiquinone Q-10 and a high guanine-plus-cytosine content (65.1–66.0 mol%) were found. The taxonomic status of the isolates is discussed and a new genus, Agromonas, with a single species Agromonas oligotrophica sp. nov., is proposed for these isolates. The type strain of A. oligotrophica is JCM 1494.     

Epidemiological typing of Bacillus spp. isolated from food.

Biotypes, fatty acid profiles, and restriction fragment length polymorphisms of a PCR product (PCR-RFLP of the cereolysin AB gene) were compared for 62 isolates of the Bacillus cereus group. Eleven isolates originated from various foods, and 51 isolates were obtained from pasteurized milk which had been processed by two different dairies. The isolates were clustered into 6 biotypes, 10 fatty acid groups, or 7 PCR-RFLP clusters. Isolates with mesophilic or psychrotrophic characteristics were preferentially distributed into specific fatty acid or PCR-RFLP groups (P = 0.004). Unique fatty acid clusters were predominantly found in milk samples of each dairy (P < 0.0001), suggesting that certain dairy plants may harbor plant-specific B. cereus which might constantly contribute to postpasteurization contamination.     

Epidemiological Typing of Campylobacter Isolates from Meat Processing Plants by Pulsed-Field Gel Electrophoresis, Fatty Acid Profile Typing, Serotyping, and Biotyping

Campylobacter spp. are a leading cause of bacterial gastroenteritis. Foods of animal origin, particularly undercooked poultry, are common sources of Campylobacter species associated with disease in humans. A collection of 110 Campylobacter jejuni and 31 C. coli human and environmental isolates from different Ontario, Canada, abattoirs were analyzed by pulsed-field gel electrophoresis, fatty acid profile typing, and biotyping. Previously collected serotyping data for the same isolates were also analyzed in this study. Pulsed-field gel electrophoresis was found to be the most discriminatory of the typing methods, followed by serotyping, fatty acid profile typing, and biotyping. A wide variety of typing profiles were observed within the isolates, suggesting that several different Campylobacter sp. strains were present within the abattoirs.     

Using FAME Analysis to Compare, Differentiate, and Identify Multiple Nematode Species

We have adapted the Sherlock^® Microbial Identification system for identification of plant parasitic nematodes based on their fatty acid profiles. Fatty acid profiles of 12 separate plant parasitic nematode species have been determined using this system. Additionally, separate profiles have been developed for Rotylenchulus reniformis and Meloidogyne incognita based on their host plant, four species and three races within the Meloidogyne genus, and three life stages of Heterodera glycines. Statistically, 85% of these profiles can be delimited from one another; the specific comparisons between the cyst and vermiform stages of H. glycines, M. hapla and M. arenaria, and M. arenaria and M. javanica cannot be segregated using canonical analysis. By incorporating each of these fatty acid profiles into the Sherlock^® Analysis Software, 20 library entries were created. While there was some similarity among profiles, all entries correctly identified the proper organism to genus, species, race, life stage, and host at greater than 86% accuracy. The remaining 14% were correctly identified to genus, although species and race may not be correct due to the underlying variables of host or life stage. These results are promising and indicate that this library could be used for diagnostics labs to increase response time.     

Microcosm Enrichment of Biphenyl-Degrading Microbial Communities from Soils and Sediments

A microcosm enrichment approach was employed to isolate bacteria which are representative of long-term biphenyl-adapted microbial communities. Growth of microorganisms was stimulated by incubating soil and sediment samples from polluted and nonpolluted sites with biphenyl crystals. After 6 months, stable population densities between 8 × 10⁹ and 2 × 10¹¹ CFU/ml were established in the microcosms, and a large percentage of the organisms were able to grow on biphenyl-containing minimal medium plates. A total of 177 biphenyl-degrading strains were subsequently isolated and characterized by their ability to grow on biphenyl in liquid culture and to accumulate a yellow meta cleavage product when they were sprayed with dihydroxybiphenyl. Isolates were identified by using a polyphasic approach, including fatty acid methyl ester (FAME) analysis, 16S rRNA gene sequence comparison, sodium dodecyl sulfate-polyacrylamide gel electrophoresis of whole-cell proteins, and genomic fingerprinting based on sequence variability in the 16S-23S ribosomal DNA intergenic spacer region. In all of the microcosms, isolates identified as Rhodococcus opacus dominated the cultivable microbial community, comprising a cluster of 137 isolates with very similar FAME profiles (Euclidean distances, <10) and identical 16S rRNA gene sequences. The R. opacus isolates from the different microcosms studied could not be distinguished from each other by any of the fingerprint methods used. In addition, three other FAME clusters were found in one or two of the microcosms analyzed; these clusters could be assigned to Alcaligenes sp., Terrabacter sp., and Bacillus thuringiensis on the basis of their FAME profiles and/or comparisons of the 16S rRNA gene sequences of representatives. Thus, the microcosm enrichments were strongly dominated by gram-positive bacteria, especially the species R. opacus, independent of the pollution history of the original sample. R. opacus, therefore, is a promising candidate for development of effective long-term inocula for polychlorinated biphenyl bioremediation.     

Biodiversity of Clostridium botulinum Type E Strains Isolated from Fish and Fishery Products

The genetic biodiversity of Clostridium botulinum type E strains was studied by pulsed-field gel electrophoresis (PFGE) with two macrorestriction enzymes (SmaI-XmaI and XhoI) and by randomly amplified polymorphic DNA (RAPD) analysis with two primers (OPJ 6 and OPJ 13) to characterize 67 Finnish isolates from fresh fish and fishery products, 15 German isolates from farmed fish, and 10 isolates of North American or North Atlantic origin derived mainly from different types of seafood. The effects of fish species, processing, and geographical origin on the epidemiology of the isolates were evaluated. Cluster analysis based on macrorestriction profiles was performed to study the genetic relationships of the isolates. PFGE and RAPD analyses were combined and resulted in the identification of 62 different subtypes among the 92 type E isolates analyzed. High genetic biodiversity among the isolates was observed regardless of their source. Finnish and North American or North Atlantic isolates did not form distinctly discernible clusters, in contrast with the genetically homogeneous group of German isolates. On the other hand, indistinguishable or closely related genetic profiles among epidemiologically unrelated samples were detected. It was concluded that the high genetic variation was probably a result of a lack of strong selection factors that would influence the evolution of type E. The wide genetic biodiversity observed among type E isolates indicates the value of DNA-based typing methods as a tool in contamination studies in the food industry and in investigations of botulism outbreaks.     

Characterization of Non-Starter Lactic Acid Bacteria from Italian Ewe Cheeses Based on Phenotypic, Genotypic, and Cell Wall Protein Analyses

Non-starter lactic acid bacteria (NSLAB) were isolated from 12 Italian ewe cheeses representing six different types of cheese, which in several cases were produced by different manufacturers. A total of 400 presumptive Lactobacillus isolates were obtained, and 123 isolates and 10 type strains were subjected to phenotypic, genetic, and cell wall protein characterization analyses. Phenotypically, the cheese isolates included 32% Lactobacillus plantarum isolates, 15% L. brevis isolates, 12% L. paracasei subsp. paracasei isolates, 9% L. curvatus isolates, 6% L. fermentum isolates, 6% L. casei subsp. casei isolates, 5% L. pentosus isolates, 3% L. casei subsp. pseudoplantarum isolates, and 1% L. rhamnosus isolates. Eleven percent of the isolates were not phenotypically identified. Although a randomly amplified polymorphic DNA (RAPD) analysis based on three primers and clustering by the unweighted pair group method with arithmetic average (UPGMA) was useful for partially differentiating the 10 type strains, it did not provide a species-specific DNA band or a combination of bands which permitted complete separation of all the species considered. In contrast, sodium dodecyl sulfate-polyacrylamide gel electrophoresis cell wall protein profiles clustered by UPGMA were species specific and resolved the NSLAB. The only exceptions were isolates phenotypically identified as L. plantarum and L. pentosus or as L. casei subsp. casei and L. paracasei subsp. paracasei, which were grouped together. Based on protein profiles, Italian ewe cheeses frequently contained four different species and 3 to 16 strains. In general, the cheeses produced from raw ewe milk contained a larger number of more diverse strains than the cheeses produced from pasteurized milk. The same cheese produced in different factories contained different species, as well as strains that belonged to the same species but grouped in different RAPD clusters.     

Diversity within Serogroups of Rhizobium leguminosarum biovar viceae in the Palouse Region of Eastern Washington as Indicated by Plasmid Profiles, Intrinsic Antibiotic Resistance, and Topography

Serology, plasmid profiles, and intrinsic antibiotic resistance (IAR) were determined for 192 isolates of Rhizobium leguminosarum biovar viceae from nodules of peas (Pisum sativum L.) grown on the south slope and bottomland topographic positions in eastern Washington State. A total of 3 serogroups and 18 plasmid profile groups were identified. Nearly all isolates within each plasmid profile group were specific for one of the three serogroups. Cluster analysis of IAR data showed that individual clusters were dominated by one serogroup and by one or two plasmid profile groups. Plasmid profile analysis and IAR analysis grouped 72% of the isolates similarly. Most plasmid profile groups and several IAR clusters favored either the south slope or the bottomland topographic position. These findings show that certain intraserogroup strains possess a greater competitiveness for nodulation and/or possess a greater ability to survive in adjacent soil environments.     

Fatty acid composition of Rhizobium spp.

The fatty acid composition of 42 isolates belonging to the major plant affinity groups of Rhizobium has been determined and found to vary reproducible with culture age. Numerical taxonomic techniques applied to the 15 major fatty acid components of log-phase cultures of comparable physiological age showed that the rhizobia constitute a uniform group. However, two clusters comprising soybean-cowpea isolates and pea-bean isolates were evident. These observations, based on a simple analysis of only one group of chemical components, indicate relationships among rhizobia which differ from the conventional plant-affinity groupings but which are consistent with other proposed relationships established using a variety of biochemical and physiological criteria.     

Relatedness of Strains of Xanthomonas fragariae by Restriction Fragment Length Polymorphism, DNA-DNA Reassociation, and Fatty Acid Analyses

The levels of relatedness of strains of Xanthomonas fragariae collected over several years from locations in Canada and the United States were compared by determining fatty acid methyl ester profiles, restriction fragment length polymorphisms (RFLP) based on pulsed-field gel electrophoresis (PFGE) analysis, and DNA-DNA reassociation values. Based on qualitative and quantitative differences in fatty acid profiles, the strains were divided into nine groups and four groups by the MIDI “10% rule” and unweighted pair analysis, respectively. Restriction analysis of genomic DNA by PFGE with two endonucleases (XbaI and SpeI) revealed four distinct profiles. When a third endonuclease (VspI) was used, one group was divided into three subgroups. The profile of the American Type Culture Collection type strain differed from the profile of every other strain of X. fragariae. Considerable diversity was observed within X. fragariae, although the majority of the strains represented a clonal population. The four groups based on fatty acid profiles were similar to the four groups based on RFLP, but neither method related groups to the geographic origins of the strains. The DNA-DNA reassociation values were high for representative strains, providing evidence that all of the strains belong to the same species.     

Pseudomonas aeruginosa in Dairy Goats: Genotypic and Phenotypic Comparison of Intramammary and Environmental Isolates

Following the identification of a case of severe clinical mastitis in a Saanen dairy goat (goat A), an average of 26 lactating goats in the herd was monitored over a period of 11 months. Milk microbiological analysis revealed the presence of Pseudomonas aeruginosa in 7 of the goats. Among these 7 does, only goat A showed clinical signs of mastitis. The 7 P. aeruginosa isolates from the goat milk and 26 P. aeruginosa isolates from environmental samples were clustered by RAPD-PCR and PFGE analyses in 3 genotypes (G1, G2, G3) and 4 clusters (A, B, C, D), respectively. PFGE clusters A and B correlated with the G1 genotype and included the 7 milk isolates. Although it was not possible to identify the infection source, these results strongly suggest a spreading of the infection from goat A. Clusters C and D overlapped with genotypes G2 and G3, respectively, and included only environmental isolates. The outcome of the antimicrobial susceptibility test performed on the isolates revealed 2 main patterns of multiple resistance to beta-lactam antibiotics and macrolides. Virulence related phenotypes were analyzed, such as swarming and swimming motility, production of biofilm and production of secreted virulence factors. The isolates had distinct phenotypic profiles, corresponding to genotypes G1, G2 and G3. Overall, correlation analysis showed a strong correlation between sampling source, RAPD genotype, PFGE clusters, and phenotypic clusters. The comparison of the levels of virulence related phenotypes did not indicate a higher pathogenic potential in the milk isolates as compared to the environmental isolates.     

Accuracy, Reproducibility, and Interpretation of Fatty Acid Methyl Ester Profiles of Model Bacterial Communities

We determined the accuracy and reproducibility of whole-community fatty acid methyl ester (FAME) analysis with two model bacterial communities differing in composition by using the Microbial ID, Inc. (MIDI), system. The biomass, taxonomic structure, and expected MIDI-FAME profiles under a variety of environmental conditions were known for these model communities a priori. Not all members of each community could be detected in the composite profile because of lack of fatty acid “signatures” in some isolates or because of variations (approximately fivefold) in fatty acid yield across taxa. MIDI-FAME profiles of replicate subsamples of a given community were similar in terms of fatty acid yield per unit of community dry weight and relative proportions of specific fatty acids. Principal-components analysis (PCA) of MIDI-FAME profiles resulted in a clear separation of the two different communities and a clustering of replicates of each community from two separate experiments on the first PCA axis. The first PCA axis accounted for 57.1% of the variance in the data and was correlated with fatty acids that varied significantly between communities and reflected the underlying community taxonomic structure. On the basis of our data, community fatty acid profiles can be used to assess the relative similarities and differences of microbial communities that differ in taxonomic composition. However, detailed interpretation of community fatty acid profiles in terms of biomass or community taxonomic composition must be viewed with caution until our knowledge of the quantitative and qualitative distribution of fatty acids over a wide variety of taxa and the effects of growth conditions on fatty acid profiles is more extensive.     

Comparison of two fatty acid analysis protocols to characterize and differentiate Fusarium oxysporum f. sp. lycopersici and F. oxysporum f. sp. radicis-lycopersici

The utility of fatty acid methyl ester (FAME) profiles for characterization and differentiation of isolates of Fusarium oxysporum f. sp. lycopersici and F. oxysporum f. sp. radicis-lycopersici was investigated. Two fatty acid analysis protocols of the normal (MIDI) and a modified MIDI method were used for their utility. Only the modified MIDI method allowed a clear differentiation between F. oxysporum f. sp. lycopersici and F. oxysporum f. sp. radicislycopersici. FAME profiles using the modified MIDI method gave the most consistent and reproducible analyzed fatty acid data. Evaluation of the FAME profiles based on cluster analysis and principal-component analysis revealed that FAME profiles from tested isolates were correlated with the same vegetative compatibility groups (VCGs) compared to the same races in F. oxysporum f. sp. lycopersici. Results indicated that FAME profiles could be an additional tool useful for characterizing isolates and forma species of F. oxysporum obtained from tomato.     

Biochemical and chemotaxonomic characterization of Pseudomonas stutzeri genomovars

A total of 48 strains representing the seven Pseudomonas stutzeri genomovars (DNA/DNA homology groups) were studied for cellular fatty acid composition, physiological characteristics and protein profiles. All strains were found to be homogeneous with respect to their fatty acid patterns. Numerical analysis of physiological properties demonstrated a considerable phenotypic heterogeneity within the genomovars. Characterization of the individual genomic groups on the basis of biochemical tests was not possible. In a numerical study of cellular protein patterns, two main clusters were obtained, one representing genomovars 1, 6 and 7 characterized by a high G + C content (mean value > 64 mol%), the other representing genomovars 2, 3, 4 and 5 with a low G + G content (< 64 mol%). The standardized cellular protein patterns have potential for differentiation of the genomic groupings within the species Ps. stutzeri as currently circumscribed.