Dereplication for biotechnology screening: PyMS analysis and PCR–RFLP–SSCP (PRS) profiling of 16S rRNA genes of marine and terrestrial actinomycetes

The search for exploitable biology is a major task for biotechnology-based industries. In this context, discrimination between previously tested or recovered micro-organisms (dereplication) is imperative, in order to reduce screening costs by sorting large collections of isolates, which are then subjected to further detailed evaluation. Pyrolysis mass spectrometry (PyMS) is a whole-cell fingerprinting technique that enables the rapid and reproducible sorting of micro-organisms, uses small samples and has the advantage of being fully automated. In this study, we compare chemometric fingerprinting with a ribotyping fingerprinting method, in order to investigate the extent to which pyrogroups formed by PyMS analysis relate to genetic diversity, using polymerase chain reaction-restriction fragment length polymorphism-single-strand conformational polymorphism (PRS). A mixture of environmental strains of mycolic acid containing actinomycetes was used to mimic the selection of colonies from primary isolation plates. The congruence found between the clusters defined by the chemometric and molecular fingerprinting techniques was very high and demonstrated the effectiveness of PyMS as a rapid sorting and dereplicating procedure for putatively novel strains, criteria that are critical for biotechnological screens. Moreover, PyMS analysis revealed significant variation within pyrogroups that contained strains with the same genotypic (PRS) characteristics, thus emphasising its discriminatory capacity at the infraspecies level.     

Taxonomy and biotransformation activities of some deep-sea actinomycetes

Deep-sea soft sediments from trench systems and depths in the northwestern Pacific Ocean ranging from less than 300 to 10 897 m in depth have been analyzed for three target genera of actinomycetes: Micromonospora, Rhodococcus, and Streptomyces. Only culturable strains, recovered at atmospheric pressure on selective isolation media, have been examined to date. Maximum recoveries of culturable bacteria were greater that 10⁷/ml wet g sediment, but actinomycetes comprised a small proportion of this population (usually less than 1%). The target actinomycetes were isolated at all depths except from the Mariana Trench sediments. Actinomycete colonies were defined initially on the basis of colony morphologies, and preliminary identification then was made by chemotaxonomic tests. Pyrolysis mass spectrometry (PyMS) of deep-sea mycolic acid-containing actinomycetes gave excellent correspondence with numerical (phenetic) taxonomic analyses and subsequently was adopted as a rapid procedure for assessing taxonomic diversity. PyMS analysis enabled several clusters of deep-sea rhodococci to be distinguished that are quite distinct from all type strains. 16S rRNA gene sequence analysis has revealed that several of these marine rhodococci have sequences that are very similar to certain terrestrial species of Rhodococcus and to Dietzia. There is evidence for the intrusion of terrestrial runoff into these deep trench systems, and the inconsistency of the phenotypic and molecular taxonomies may reflect recent speciation events in actinomycetes under the high-pressure conditions of the deep sea. The results of DNA-DNA pairing experiments point to the novelty of Rhodococcus strains recovered from hadal depths in the Izu Bonin Trench. Biotransformation studies of deep-sea bacteria have focused on nitrile compounds. Nitrile-metabolizing bacteria, closely related to rhodococci, have been isolated that grow well at low temperature, high salt concentrations, and high pressures, suggesting that they are of marine origin or have adapted to the deep-sea environment. Received: January 22, 1998 / Accepted: February 16, 1998     

Taxonomic discrimination of higher plants by pyrolysis mass spectrometry

Pyrolysis mass spectrometry (PyMS) is a rapid, simple, high-resolution analytical method based on thermal degradation of complex material in a vacuum and has been widely applied to the discrimination of closely related microbial strains. Leaf samples of six species and one variety of higher plants (Rosa multiflora, R. multiflora var. platyphylla, Sedum kamtschaticum, S. takesimense, S. sarmentosum, Hepatica insularis, and H. asiatica) were subjected to PyMS for spectral fingerprinting. Principal component analysis of PyMS data was not able to discriminate these plants in discrete clusters. However, canonical variate analysis of PyMS data separated these plants from one another. A hierarchical dendrogram based on canonical variate analysis was in agreement with the known taxonomy of the plants at the variety level. These results indicate that PyMS is able to discriminate higher plants based on taxonomic classification at the family, genus, species, and variety level.Abbreviations ANNs Artificial neural networks - CVA Canonical variate analysis - GC/MS Gas chromatography/mass spectrometry - PCA Principal component analysis - PyMS Pyrolysis mass spectrometry - UPGMA Unweighted pair group method with arithmetic mean Communicated by I.S. Chung     

Rapid authentication of animal cell lines using pyrolysis mass spectrometry and auto-associative artificial neural networks

Summary Pyrolysis mass spectrometry (PyMS) was used to produce biochemical fingerprints from replicate frozen cell cultures of mouse macrophage hybridoma 2C11-12, human leukaemia K562, baby hamster kidney BHK 21/C13, and mouse tumour BW-O, and a fresh culture of Chinese hamster ovary CHO cells. The dimensionality of these data was reduced by the unsupervised feature extraction pattern recognition technique of auto-associative neural networks. The clusters observed were compared with the groups obtained from the more conventional statistical approaches of hierarchical cluster analysis. It was observed that frozen and fresh cell line cultures gave very different pyrolysis mass spectra. When only the frozen animal cells were analysed by PyMS, auto-associative artificial neural networks (ANNs) were employed to discriminate between them successfully. Furthermore, very similar classifications were observed when the same spectral data were analysed using hierarchical cluster analysis. We demonstrate that this approach can detect the contamination of cell lines with low numbers of bacteria and fungi; this approach could plausibly be extended for the rapid detection of mycoplasma infection in animal cell lines. The major advantages that PyMS offers over more conventional methods used to type cell lines and to screen for microbial infection, such as DNA fingerprinting, are its speed, sensitivity and the ability to analyse hundreds of samples per day. We conclude that the combination of PyMS and ANNs can provide a rapid and accurate discriminatory technique for the authentication of animal cell line cultures.     

Discrimination of higher plant calluses based on embryogenic capacity and taxonomic classification by pyrolysis mass spectrometry

Pyrolysis mass spectrometry (PyMS) is a rapid, simple, high-resolution analytical method based on thermal degradation of complex material in a vacuum, and has been widely applied to the discrimination of closely related microbial strains. Minimally prepared samples of embryogenic and non-embryogenic calluses derived from various higher plants (sweet potato, morning glory, Korean ginseng, Siberian ginseng, and balloon flower) were subjected to PyMS for spectral fingerprinting. A dendrogram based on the unweighted pair group method, with arithmetic mean of pyrolysis mass spectra, divided the calluses into Siberian ginseng embryogenic callus and the others, which were subsequently divided into embryogenic and non-embryogenic callus groups, regardless of plant species from which the calluses were derived. In the non-embryogenic callus group, the dendrogram was in agreement with the known taxonomy of the plants. These results indicate that PyMS analysis could be applied for discriminating plant calluses based on embryogenic capacity and taxonomic classification.     

Molecular evidence for shifts in polysaccharide composition associated with adaptation of soybean Bradyrhizobium strains to the Brazilian Cerrado soils

Pyrolysis mass spectrometry (PyMS) and DNA fingerprinting (RAPD and RSα hybridization) were used to characterize soybean inoculant strains and root nodule isolates of bradyrhizobia from the Brazilian Cerrado soils. Most isolates were shown to be derived from the inoculant strains on the basis of genotype comparisons by DNA fingerprinting. Phenotypic analysis (using PyMS) of the strains and separately of the polysaccharides derived from them showed that the nodule isolates differed from the parental strains, suggesting adaptation to the Cerrado soil environment. The extent of the differences between the derivatives and inoculant strains was similar for comparisons made on the basis of whole-cell preparations or from the isolated polysaccharides, indicating that the adaptation was caused by changes in the composition of the polysaccharides produced.     

Genetic Discrimination of <Emphasis Type="Italic">Catharanthus roseus</Emphasis> Cultivars by Pyrolysis Mass Spectrometry

Pyrolysis mass spectrometry (PyMS) is a rapid, simple, high-resolution analytical method based on thermal degradation of complex materials in a vacuum. It is widely applied to the discrimination of closely related microbial strains. Leaf samples from eight cultivars (‘Apricot Delight’, ‘Cooler Grape’, ‘Cooler Peppermint’, ‘Equator Grape’, ‘Equator Rose’, ‘Equator White’, ‘Equator White Eye’, and ‘Little Bright Eye’) of Catharanthus roseus were subjected to PyMS for spectral fingerprinting. Discriminant analysis (DA) of PyMS data enabled us to assign these cultivars to discrete clusters. A hierarchical dendrogram based on DA provided a possible relationship among them that was in general agreement with a previously reported classification of the cultivars based on DNA fingerprints. Furthermore, those belonging to the same ‘series’ were grouped into a single cluster, which previously could not be achieved through similar approaches based on Fourier transform infrared spectroscopy or ¹H NMR data. Overall results suggest that chemical differences (i.e., in pyrolysate composition) among cultivars, as detected by mass spectrometry, reflect their genetic variation.     

Discrimination and taxonomy of geographically diverse strains of nitrile-metabolizing actinomycetes using chemometric and molecular sequencing techniques

Mycolic acid-containing actinomycetes capable of metabolizing nitriles were recovered from deep-sea sediments and terrestrial soils by enrichment culture on acetonitrile, benzonitrile, succinonitrile or bromoxynil. A total of 43 nitrile-degrading strains were isolated and, together with previously recovered nitrile-degrading rhodococci, were identified by a polyphasic taxonomic approach, which included mycolic acid profiles, pyrolysis mass spectrometry (PyMS), genomic fingerprinting based on sequence variability of the 16S ribosomal RNA gene using polymerase chain reaction-restriction fragment length polymorphism-single-strand conformational polymorphism, and 16S rRNA gene sequence comparison. Isolates phylogenetically related to Rhodococcus erythropolis dominated the culturable microorganisms from most marine and terrestrial samples. These isolates clustered together in a major pyrogroup that showed high congruence with PRS profiles of the 16S rRNA gene. Such high congruence also was obtained for other recovered isolates that were assigned to species of Rhodococcus and Gordonia. Sequencing data validated the results obtained by PRS analysis and enabled phylogenetic relationships to be established. Some of the recovered bacteria probably represent novel microbial species. The fact that nitrile-metabolizing microorganisms were recovered from a wide range of habitat types suggests that nitrile transforming enzymatic activity is geographically widely distributed in nature.     

Novel rhodococci and other mycolate actinomycetes from the deep sea

A large number of mycolate actinomycetes have been recovered from deep-sea sediments in the NW Pacific Ocean using selective isolation methods. The isolates were putatively assigned to the genus Rhodococcus on the basis of colony characteristics and mycolic acid profiles. The diversity among these isolates and their relationship to type strains of Rhodococcus and other mycolate taxa were assessed by Curie point pyrolysis mass spectrometry (PyMS). Three major (A, C, D) and two minor (B, E) groups were defined by PyMS. Cluster A was a large group of isolates recovered from sediment in the Izu Bonin Trench (2679 m); Cluster C comprised isolates from both the Izu Bonin Trench (6390 and 6499 m) and from the Japan Trench (4418, 6048 and 6455 m). These Cluster C isolates showed close similarity to Dietzia maris and this was subsequently confirmed using molecular methods. Cluster D contained isolates recovered from a sediment taken from a depth of 1168m in Sagami Bay and were identified as members of the terrestrial species Rhodococcus luteus. Clusters B and E had close affinities with members of the genera Gordonia and Mycobacterium. The presence of Thermoactinomyces in certain of the deep-sea sediments studied was indicative of the movement of terrestrial material into the ocean depths.16S ribosomal RNA gene sequence analyses produced excellent definition of most genera of the mycolata, and indicated that the among the deep sea isolates (1) were novel species of Corynebacterium, Gordonia and Mycobacterium, and (2) a Sea of Japan isolate the phylogenetic depth of which suggests the possibility of a new genus. Polyphasic taxonomic analysis revealed considerable diversity among the deep sea rhodococci and evidence for recently diverged species or DNA groups.     

Determination of microbial diversity of Aeromonas strains on the basis of multilocus sequence typing, phenotype, and presence of putative virulence genes

The genus Aeromonas has been described as comprising several species associated with the aquatic environment, which represents their principal reservoir. Aeromonas spp. are commonly isolated from diseased and healthy fish, but the involvement of such bacteria in human infection and gastroenteritis has frequently been reported. The primary challenge in establishing an unequivocal link between the Aeromonas genus and pathogenesis in humans is the extremely complicated taxonomy. With the aim of clarifying taxonomic relationships among the strains and phenotypes, a multilocus sequencing approach was developed and applied to characterize 23 type and reference strains of Aeromonas spp. and a collection of 77 field strains isolated from fish, crustaceans, and mollusks. All strains were also screened for putative determinants of virulence by PCR (ast, ahh1, act, asa1, eno, ascV, and aexT) and the production of acylated homoserine lactones (AHLs). In addition, the phenotypic fingerprinting obtained from 29 biochemical tests was submitted to the nonparametric combination (NPC) test methodology to define the statistical differences among the identified genetic clusters. Multilocus sequence typing (MLST) achieved precise strain genotyping, and the phylogenetic analysis of concatenated sequences delineated the relationship among the taxa belonging to the genus Aeromonas, providing a powerful tool for outbreak traceability, host range diffusion, and ecological studies. The NPC test showed the feasibility of phenotypic differentiation among the majority of the MLST clusters by using a selection of tests or the entire biochemical fingerprinting. A Web-based MLST sequence database (http://pubmlst.org/aeromonas) specific for the Aeromonas genus was developed and implemented with all the results.     

Phenological growth stages of loquat tree (Eriobotrya japonica (Thunb.) Lindl.)

Conservation, characterisation and utilisation of minor fruit tree species is an important objective for diversification of agro-food production. One such fruit tree is the loquat, a tree that originated in China but is well adapted to the Mediterranean area. The conservation and utilisation of suitable germplasm requires an accurate characterisation and evaluation of the material. A first step in characterisation is to use phenotypic traits. This paper describes the phenological growth stages of loquat tree using the extended BBCH scale. Seven principal growth stages (PGS) for bud, leaf and shoot development, inflorescence emergence, flowering, fruit development and fruit maturity and 31 secondary growth stages are described and compared with a previous scale based on Fleckinger classical methodology. An example of application of the extended BBCH scale for characterisation of loquat cultivars from IVIA germplasm collection is reported.     

Prediction of Streptococcus salivarius subsp. thermophilus and Lactobacillus delbrueckii subsp. bulgaricus populations in yoghurt by Curie point pyrolysis-mass spectrometry.

We evaluated the potential of pyrolysis-mass spectrometry (PyMS) for quantifying the binary mixed population of Streptococcus salivarius subsp. thermophilus and Lactobacillus delbrueckii subsp. bulgaricus in yoghurt. For this purpose, a new analytical approach was developed. The yoghurt was transparised and its total bacterial population was recovered by centrifugation and estimated by turbidimetric measurement. The quantity of each population (L. bulgaricus, S. thermophilus) was then estimated in the pellet by PyMS, and the data were analysed by artificial neural networks (ANNs). In parallel, streptococci and lactobacilli were numerated on SYL agar and these data were used as reference values to predict the bacterial counts of each population by PyMS. A close correlation was established between the streptococci and the lactobacilli counts on SYL agar and PyMS measurements (r(2)=0.98 for S. thermophilus and r(2)=0.96 for L. bulgaricus). Combined turbidimetric measurement and PyMS/ANNs seemed to be a powerful method for obtaining rapid counts of binary mixtures of bacteria in yoghurt.     

Genotypic and phenotypic diversity of Pediococcus pentosaceus strains isolated from food matrices and characterisation of the penocin operon

Lactic acid bacteria (LAB) are widely used in the food industry. Pediococcus spp. belong to the LAB group and include several species that are essential for the quality of fermented food. Pediococcus pentosaceus is the species that is most frequently isolated from fermented food and beverages but its uncontrolled growth during food fermentation processes can contribute to undesired flavours. Hence, the characterisation of these bacteria at the strain level is of great importance for the quality of fermented products. Despite their importance, misidentification at the species level is common for members of the genus Pediococcus. To clarify the taxonomic relationships among strains, a multilocus sequencing approach was developed for the characterisation of a collection of 29 field strains, 1 type strain and 1 reference strain of P. pentosaceus isolated from food. These strains were also tested for several phenotypic properties of technological interest and for the production of bacteriocins. The chromosomal operon involved in the synthesis of the bacteriocin penocin was also investigated. The present study enabled a good genomic characterisation, identifying 17 sequence types, with an overview of phenotypic characteristics related to different technological abilities, and also provides a thorough characterisation of the operon involved in penocin production.     

Taxonomy of Marine Bacteria: Beneckea parahaemolytica and Beneckea alginolytica

A collection of 169 strains, including 91 obtained from cases of gastroenteritis and 41 from localized tissue infections and infections of the eye and ear, was submitted to an extensive nutritional, physiological, and morphological characterization. The nutritional and physiological data obtained from these strains, as well as data for strains of other species of the genus Beneckea, were submitted to a numerical analysis which grouped the strains into clusters on the basis of phenotypic similarity. Strains from cases of gastroenteritis formed a group of three clusters which linked at a similarity value of 68%. These three clusters could not, however, be separated from each other by universally positive or negative traits, and on the basis of their overall phenotypic similarity were assigned to a single species, B. parahaemolytica. The majority of the strains from human, nonenteric sources segregated into two distinct clusters, one designated B. alginolytica and the other unassigned with respect to species (group C-2). B. parahaemolytica, B. alginolytica, and group C-2 could be readily distinguished from one another as well as from the remaining species of the genus Beneckea by multiple, unrelated, phenotypic traits. Activities of selected enzymes of glucose and gluconate catabolism in cell-free extracts of B. parahaemolytica, B. alginolytica, and group C-2 suggested that these organisms utilized glucose primarily via the Embden-Meyerhof pathway and gluconate primarily via the Entner-Doudoroff pathway. Similar results were observed in the other members of the genus Beneckea.     

Genetic diversity of endophytic diazotrophs of the wild rice, Oryza alta and identification of the new diazotroph, Acinetobacter oryzae sp. nov

Thirty-three endophytic diazotrophs were isolated from surface-sterilized leaves, stem, and roots of wild rice Oryza alta. The SDS-PAGE profile of total protein and insertion sequence-based polymerase chain reaction (IS-PCR) fingerprinting grouped the isolates into four clusters (I-IV). The 16S rRNA gene sequence homology of the representative strains B21, B31, B1, and B23 of clusters I, II, III, and IV were assigned to Pseudomonas oleovorans (99.2% similarity), Burkholderia fungorum (99.4% similarity), Enterobacter cloacae (98.9% similarity), and Acinetobacter johnsonii (98.4% similarity), respectively. The results showed wide genetic diversity of the putative diazotrophic strains of the wild rice, O. alta, and the strains of cluster IV are the first report of nitrogen-fixing Acinetobacter species. The cell size, phenotypic characters, total protein profile, genomic DNA fingerprinting, DNA-DNA hybridization, and antibiotic resistance differentiated strain B23(T) from its closest relatives A. johnsonii LMG999(T) and Acinetobacter haemolyticus LMG996(T). The DNA-DNA hybridization also distinguished the strain B23(T) from the closely related Acinetobacter species. Based on these data, a novel species, Acinetobacter oryzae sp. nov., and strain B23(T) (=LMG25575(T)?=?CGMCC1.10689(T)) as the type strain were proposed.     

A polyphasic taxonomic study of thermophilic bacilli from shallow, marine vents

Eighty-seven thermophilic, aerobic, spore-forming bacteria were isolated from shallow, marine, thermal vents of the Eolian Islands (Italy) and tested for a broad spectrum of phenotypic characteristics. A numerical taxonomy study was performed on these isolates and 8 thermophilic Bacillus and Geobacillus reference strains by 89 selected features. Results from cluster analysis showed the formation of nine clusters. Most of the isolates (83%) fell into several phenetically well distinguished clusters, loosely related to Geobacillus thermodenitrificans. The remaining isolates grouped together with different reference strains. Eighteen isolates, representative of the different clusters, were selected for subsequent genotypic characterisation, including partial 16S rDNA sequence analysis of 18 strains and almost complete 16S rDNA sequences of 9 strains. Subsequent DNA/DNA reassociation studies and determination of the base composition of DNA identified seven isolates as Geobacillus thermodenitrificans, two isolates as G. thermoleovorans and one isolate as Bacillus pallidus. Four isolates represented two novel species of Bacillus. The remaining four represented novel Geobacillus species, one of which has recently been described as Bacillus vulcani DSMZ 13174 T.     

Genetic variation in Danish and Norwegian germplasm collections of hops

The germplasm collections of hops (Humulus lupulus L.) in Denmark and Norway are maintained in clonal archives funded by the national authorities. The plants have been collected over the last decades as part of a strategy to conserve plant genetic resources for future generations. The major part of the various collections consist of plants collected in villages and gardens. About 20% are plants used for breeding, mainly kept in a collection at Carlsberg, Denmark. In order to identify any duplicates and with a view to learning more about the various collections, a DNA fingerprinting study was initiated, analysing 62 Danish and 34 Norwegian clones with a set of five amplified fragment length polymorphism (AFLP) markers. The AFLP analyses resulted in 41 polymorphic bands and were able to separate the majority of the Danish and the Norwegian accessions. UPGMA dendrograms showed 21 accession groups, and potential duplicates were found within 13 of these groups. Principal coordinates analysis revealed that plants were differentiated according to country of origin. In addition, regional separation of the plants within each country was also detected, and similar levels of diversity were found in the Danish and the Norwegian collections. Compared to the rest of the plants, there was less diversity within the Carlsberg material. For the Norwegian as well as a part of the Danish collection, morphological characterisation and chemical analysis was carried out, allowing a comparison of these to the AFLP data. A correlation with AFLP bands and both morphological and chemical characteristics was detected. The most promising results for further breeding was an association of AFLP bands with the content of colupulon in the cones, measured by relative values compared to the total alpha acid content. Further studies are needed to verify such an association with the potential to develop a PCR-based marker for hop breeding carried out in the clones now analysed with AFLP markers, making it possible to search for any association between AFLP data and phenotypic data.     

Heterogeneity of non-serotypable Campylobacter jejuni isolates

Several phenotypic and genotypic methods are currently used to identify subtypes of Campylobacter jejuni isolates. Of the phenotypic methods one, i.e. serotyping based on the heat stable antigen, is often hindered by the relatively large number of un-typable (NT) strains. Little is known, however, about the heterogeneity of the group formed by these NT strains. Therefore we serotyped 92 Hungarian, non-outbreak C. jejuni isolates and subjected the 28 NT strains to molecular analysis using PCR-RFLP of the flaA gene and to pulsed-field gel electrophoresis. With both methods the NT strains were classified into several molecular types (17 and 25, respectively), while the number of subgroups based on the results of the two techniques combined was twenty-six. These results indicate that the NT group of strains is extremely heterogeneous in Hungary, and the epidemiological connection between two NT isolates cannot be established or excluded without the use of molecular typing techniques.     

Characterisation of a highly repeated DNA sequence from Mycobacterium bovis

Abstract We report characterisation of a novel repeat sequence from a Mycobacterium bovis genomic library. The highly repeated sequence belongs to a family consisting of a 24 base pair (bp) direct repeat (DR), that appears to be organized into clusters on the chromosome. We classify the 24-bp DR into the group of prokaryotic DNA repeats known as the interspersed repetitive sequence elements. The 24-bp DR will be of potential use as a DNA fingerprinting tool in epidemiological studies of M. bovis .