Development of Genomic Tools for the Identification of Certain Pseudomonas up to Species Level

Pseudomonas is a highly versatile bacterium at the species level with great ecological significance. These genetically and metabolically diverse species have undergone repeated taxonomic revisions. We propose a strategy to identify Pseudomonas up to species level, based on the unique features of their 16S rDNA (rrs) gene sequence, such as the frame work of sequences, sequence motifs and restriction endonuclease (RE) digestion patterns. A species specific phylogenetic framework composed of 31 different rrs sequences, allowed us to segregate 1,367 out of 2,985 rrs sequences of this genus, which have been classified at present only up to genus (Pseudomonas) level, as follows: P. aeruginosa (219 sequences), P. fluorescens (463 sequences), P. putida (347 sequences), P. stutzeri (197 sequences), and P. syringae (141 sequences). These segregations were validated by unique 30–50 nucleotide long motifs and RE digestion patterns in their rrs. A single gene thus provides multiple makers for identification and surveillance of Pseudomonas.     

Pseudomonas prosekii sp. nov., a Novel Psychrotrophic Bacterium from Antarctica

During Czech expeditions at James Ross Island, Antarctica, in the years 2007–2009, the bacterial diversity of the genus Pseudomonas was studied. Twelve fluorescent Pseudomonas strains were isolated from various samples and were subjected to a detailed taxonomic study. A polyphasic approach included genotypic and phenotypic analyses. The genotypic analysis involved sequencing of rrs, rpoB and rpoD genes, DNA–DNA hybridization (DDH) studies as well as manual ribotyping using HindIII endonuclease. The phenotypic characterization included conventional tests as well as biotyping using the Biolog system, protein profiling by SDS-PAGE, and MALDI-TOF MS analysis. Our taxonomic study revealed that all isolates belonged to the same Pseudomonas species with psychrotrophic growth not exceeding 37 °C. The cultures showed a unique position among the phylogenetically related pseudomonads. DDH experiment between the proposed type strain of the antarctic isolates and the closest neighbour P. arsenicoxydans CCM 8423^T showed only 40.9–50.1 % similarity, thus confirming that the characterized strains do not belong to the P. arsenicoxydans species. According to the results obtained we propose the name P. prosekii sp. nov. for this novel Pseudomonas taxon with type strain AN/28/1^T (=CCM 7990^T and LMG 26867^T).     

Pseudomonas aestusnigri sp. nov., isolated from crude oil-contaminated intertidal sand samples after the Prestige oil spill

Strains VGXO14^T and Vi1 were isolated from the Atlantic intertidal shore from Galicia, Spain, after the Prestige oil spill. Both strains were Gram-negative rod-shaped bacteria with one polar inserted flagellum, strictly aerobic, and able to grow at 18–37 °C, pH 6–10 and 2–10% NaCl. A preliminary analysis of the 16S rRNA and the partial rpoD gene sequences indicated that these strains belonged to the Pseudomonas genus but were distinct from any known Pseudomonas species. A polyphasic taxonomic approach including phylogenetic, chemotaxonomic, phenotypic and genotypic data confirmed that the strains belonged to the Pseudomonas pertucinogena group. In a multilocus sequence analysis, the similarity of VGXO14^T and Vi1 to the closest type strain of the group, Pseudomonas pachastrellae, was 90.4%, which was lower than the threshold of 97% established to discriminate species in the Pseudomonas genus. The DNA–DNA hybridisation similarity between strains VGXO14^T and Vi1 was 79.6%, but below 70% with the type strains in the P. pertucinogena group. Therefore, the strains should be classified within the genus Pseudomonas as a novel species, for which the name Pseudomonas aestusnigri is proposed. The type strain is VGXO14^T (=CCUG 64165^T = CECT 8317^T).     

Bioactive substances produced by marine isolates of Pseudomonas

Pseudomonas is a genus of non-fermentative gram-negative Gammaproteobacteria found both on land and in the water. Many terrestrial isolates of this genus have been studied extensively. While many produce bioactive substances, enzymes, and biosurfactants, other Pseudomonas isolates are used for biological control of plant diseases and bioremediation. In contrast, only a few marine isolates of this genus have been described that produce novel bioactive substances. The chemical structures of the bioactive substances from marine Pseudomonas are diverse, including pyroles, pseudopeptide pyrrolidinedione, phloroglucinol, phenazine, benzaldehyde, quinoline, quinolone, phenanthren, phthalate, andrimid, moiramides, zafrin and bushrin. Some of these bioactive compounds are antimicrobial agents, and dibutyl phthalate and di-(2-ethylhexyl) phthalate have been reported to be cathepsin B inhibitors. In addition to being heterogeneous in terms of their structures, the antibacterial substances produced by Pseudomonas also have diverse mechanisms of action: some affect the bacterial cell membrane, causing bacterial cell lysis, whereas others act as acetyl-CoA carboxylase and nitrous oxide synthesis inhibitors. Marine Pseudomonas spp. have been isolated from a wide range of marine environments and are a potential untapped source for medically relevant bioactive substances.     

Defining the <Emphasis Type="Italic">Pseudomonas</Emphasis> Genus: Where Do We Draw the Line with <Emphasis Type="Italic">Azotobacter</Emphasis>?

The genus Pseudomonas has gone through many taxonomic revisions over the past 100 years, going from a very large and diverse group of bacteria to a smaller, more refined and ordered list having specific properties. The relationship of the Pseudomonas genus to Azotobacter vinelandii is examined using three genomic sequence-based methods. First, using 16S rRNA trees, it is shown that A. vinelandii groups within the Pseudomonas close to Pseudomonas aeruginosa. Genomes from other related organisms (Acinetobacter, Psychrobacter, and Cellvibrio) are outside the Pseudomonas cluster. Second, pan genome family trees based on conserved gene families also show A. vinelandii to be more closely related to Pseudomonas than other related organisms. Third, exhaustive BLAST comparisons demonstrate that the fraction of shared genes between A. vinelandii and Pseudomonas genomes is similar to that of Pseudomonas species with each other. The results of these different methods point to a high similarity between A. vinelandii and the Pseudomonas genus, suggesting that Azotobacter might actually be a Pseudomonas.     

Frenemies of the soil: Bacillus and Pseudomonas interspecies interactions

Bacillus and Pseudomonas ubiquitously occur in natural environments and are two of the most intensively studied bacterial genera in the soil. They are often coisolated from environmental samples, and as a result, several studies have experimentally cocultured bacilli and pseudomonads to obtain emergent properties. Even so, the general interaction between members of these genera is virtually unknown. In the past decade, data on interspecies interactions between natural isolates of Bacillus and Pseudomonas has become more detailed, and now, molecular studies permit mapping of the mechanisms behind their pairwise ecology. This review addresses the current knowledge about microbe–microbe interactions between strains of Bacillus and Pseudomonas and discusses how we can attempt to generalize the interaction on a taxonomic and molecular level.     

Pseudomonas laurylsulfatovorans sp. nov., sodium dodecyl sulfate degrading bacteria,isolated from the peaty soil of a wastewater treatment plant

Pseudomonas are known from their flexible degradation capabilities and their engagement in xenobiotic biotransformation and bioremediation in habitats like soil, active sludge, plant surfaces, and freshwater or marine environments. Here we present taxonomic characterization of three efficient sodium dodecyl sulfate degrading strains: AP3_10, AP3_20 and AP3_22^T belonging to the genus Pseudomonas, recently isolated from peaty soil used in a biological wastewater treatment plant. Sequence analyses of 16S rRNA and housekeeping genes: gyrB, rpoD and rpoB showed that the three closely related isolates classify within the Pseudomonas jessenii subgroup. ANIb or dDDH genomic comparisons of AP3_22^T (type strain DSM 105098^T = PCM 2904^T) supported by biochemical tests showed that the isolates differ significantly from their closest relatives. The combined genotypic, phenotypic and chemotaxonomic data strongly support the classification of the three strains: AP3_10, AP3_20 and AP3_22^T as a novel species of Pseudomonas, for which we propose the name Pseudomonas laurylsulfatovorans sp. nov. with AP3_22^T as the type strain.     

Detection and Genetic Characterization of Bacteria of the Genus <Emphasis Type="Italic">Pseudomonas</Emphasis> from Microbial Communities of Lake Baikal

The genus Pseudomonas is one of the most diverse and ecologically important groups of bacteria. Numerous representatives of the genus are found in microbial communities of all natural environments, including those closely associated with plants and animals. This ubiquitous distribution determines a necessity of their physiological and genetic adaptations. Molecular methods revealed that bacteria of the genus Pseudomonas were predominant in ulcerative lesions on the skin of Baikal yellowfin Cottocomephorus grewingkii (Dybowski, 1874). According to ribosomal phylogeny, cultivated Pseudomonas spp. isolated from both ulcerative lesions and the water column of Lake Baikal were grouped into the intrageneric cluster IG P. fluorescens. The topology of the phylogenetic tree based on the gene for outer membrane porin OprF generally coincided with that based on the 16S rRNA genes at the intrageneric level; however, it reflected ecological features of the strains of the genus Pseudomonas at the subgroup level. Screening of pathogenicity determinants detected the oprL, ecfX, fliC, and algD genes in the genomes of Pseudomonas spp. isolated from the ulcerative lesions of fish, whereas oprL and gyrB genes were determined in the strains isolated from the water column.     

Isolation and characterization of BTEX tolerant and degrading Pseudomonas putida BCNU 106

Bacterial strains growing in river sediments were screened to identify an organic solvent-tolerant strain of Pseudomonas. Using this screen, Pseudomonas sp. BCNU 106 was isolated on the basis of its ability to grow on benzene, toluene, ethylbenzene, and three xylene isomers, o-, m- and p-xylene, as its sole carbon source. BCNU 106 was identified as a gram-negative, rod-shaped aerobic and mesophilic bacterium, which grew in liquid media containing high concentrations of organic solvents. 16S rDNA analysis classified BCNU 106 as a new member of the genus Pseudomonas. BCNU 106 was distinguishable from other Pseudomonas strains that are tolerant to organic solvents in that the isolate had the ability to utilize all three xylene isomers as well as benzene, toluene and ethylbenzene. The unique properties of the isolate such as solvent-tolerance and the ability to degrade xylene isomers may have important implications for the efficient treatment of solvent wastes.     

Towards large-scale FAME-based bacterial species identification using machine learning techniques

In the last decade, bacterial taxonomy witnessed a huge expansion. The swift pace of bacterial species (re-)definitions has a serious impact on the accuracy and completeness of first-line identification methods. Consequently, back-end identification libraries need to be synchronized with the List of Prokaryotic names with Standing in Nomenclature. In this study, we focus on bacterial fatty acid methyl ester (FAME) profiling as a broadly used first-line identification method. From the BAME@LMG database, we have selected FAME profiles of individual strains belonging to the genera Bacillus, Paenibacillus and Pseudomonas. Only those profiles resulting from standard growth conditions have been retained. The corresponding data set covers 74, 44 and 95 validly published bacterial species, respectively, represented by 961, 378 and 1673 standard FAME profiles. Through the application of machine learning techniques in a supervised strategy, different computational models have been built for genus and species identification. Three techniques have been considered: artificial neural networks, random forests and support vector machines. Nearly perfect identification has been achieved at genus level. Notwithstanding the known limited discriminative power of FAME analysis for species identification, the computational models have resulted in good species identification results for the three genera. For Bacillus, Paenibacillus and Pseudomonas, random forests have resulted in sensitivity values, respectively, 0.847, 0.901 and 0.708. The random forests models outperform those of the other machine learning techniques. Moreover, our machine learning approach also outperformed the Sherlock MIS (MIDI Inc., Newark, DE, USA). These results show that machine learning proves very useful for FAME-based bacterial species identification. Besides good bacterial identification at species level, speed and ease of taxonomic synchronization are major advantages of this computational species identification strategy.     

Pseudomonas gallaeciensis sp. nov., isolated from crude-oil-contaminated intertidal sand samples after the Prestige oil spill

Strains V113^T, V92 and V120 have been isolated from sand samples taken at the Atlantic intertidal shore in Galicia, Spain, after the Prestige oil spill. A preliminary analysis of the 16S rRNA and the partial rpoD gene sequences indicated that these strains belonged to the Pseudomonas genus, but they were distinct from any known Pseudomonas species. They were extensively characterized by a polyphasic taxonomic approach and phylogenetic data that confirmed that these strains belonged to the Pseudomonas pertucinogena group. Phylogenetic analysis of 16S rRNA, gyrB and rpoD gene sequences showed that the three strains were 99% similar and were closely related to members of the P. pertucinogena group, with less than 94% similarity to strains of established species; Pseudomonas pachastrellae was the closest relative. The Average Nucleotide Index based on blast values was 89.0% between V113^T and the P. pachastrellae type strain, below the accepted species level (95%). The predominant cellular fatty acid contents and whole cell protein profiles determined by MALDI-TOF mass spectrometry also differentiated the studied strains from known Pseudomonas species. We therefore conclude that strains V113^T, V92 and V120 represent a novel species of Pseudomonas, for which the name Pseudomonas gallaeciensis is proposed; the type strain is V113^T (= CCUG 67583^T = LMG 29038^T).     

Genotypic Characterization and Phylogenetic Relations of Pseudomonas sp. (Formerly P. stutzeri) OX1

Pseudomonas sp. OX1, an aromatic compound-degrading bacterium that was tentatively identified by conventional biochemical methods as P. stutzeri, has now been investigated at the molecular level to clarify its taxonomic position. Amplified ribosomal DNA restriction analysis and multiple enzyme restriction fragment length polymorphism (MERFLP) analysis suggested that Pseudomonas sp. OX1 could not be classified as P. stutzeri. Phylogenetic analyses based on 16S rRNA and gyrB genes further confirmed that this strain belongs to the Pseudomonas (sensu stricto) genus, but not to the stutzeri species. The data obtained demonstrated that Pseudomonas sp. OX1 belongs to intrageneric cluster II and is related to the P. fluorescens–P. syringae complex.     

rpoD Gene Pyrosequencing for the Assessment of Pseudomonas Diversity in a Water Sample from the Woluwe River

A water sample from a noncontaminated site at the source of the Woluwe River (Belgium) was analyzed by culture-dependent and -independent methods. Pseudomonas isolates were identified by sequencing and analysis of the rpoD gene. Culture-independent methods consisted of cloning and pyrosequencing of a Pseudomonas rpoD amplicon from total DNA extracted from the same sample and amplified with selective rpoD gene primers. Among a total of 14,540 reads, 6,228 corresponded to Pseudomonas rpoD gene sequences by a BLAST analysis in the NCBI database. The selection criteria for the reads were sequences longer than 400 bp, an average Q₄₀ value greater than 25, and >85% identity with a Pseudomonas species. Of the 6,228 Pseudomonas rpoD sequences, 5,345 sequences met the established criteria for selection. Sequences were clustered by phylogenetic analysis and by use of the QIIME software package. Representative sequences of each cluster were assigned by BLAST analysis to a known Pseudomonas species when the identity with the type strain was greater than or equal to 96%. Twenty-six species distributed among 12 phylogenetic groups or subgroups within the genus were detected by pyrosequencing. Pseudomonas stutzeri, P. moraviensis, and P. simiae were the only cultured species not detected by pyrosequencing. The predominant phylogenetic group within the Pseudomonas genus was the P. fluorescens group, as determined by culture-dependent and -independent analyses. In all analyses, a high number of putative novel phylospecies was found: 10 were identified in the cultured strains and 246 were detected by pyrosequencing, indicating that the diversity of Pseudomonas species has not been fully described.     

Identification of signature and primers specific to genus <Emphasis Type="Italic">Pseudomonas</Emphasis> using mismatched patterns of 16S rDNA sequences

Background

Pseudomonas, a soil bacterium, has been observed as a dominant genus that survives in different habitats with wide hostile conditions. We had a basic assumption that the species level variation in 16S rDNA sequences of a bacterial genus is mainly due to substitutions rather than insertion or deletion of bases. Keeping this in view, the aim was to identify a region of 16S rDNA sequence and within that focus on substitution prone stretches indicating species level variation and to derive patterns from these stretches that are specific to the genus.

Results

Repeating elements that are highly conserved across different species of Pseudomonas were considered as guiding markers to locate a region within the 16S gene. Four repeating patterns showing more than 80% consistency across fifty different species of Pseudomonas were identified. The sub-sequences between the repeating patterns yielded a continuous region of 495 bases. The sub-sequences after alignment and using Shanon's entropy measure yielded a consensus pattern. A stretch of 24 base positions in this region, showing maximum variations across the sampled sequences was focused for possible genus specific patterns. Nine patterns in this stretch showed nearly 70% specificity to the target genus. These patterns were further used to obtain a signature that is highly specific to Pseudomonas. The signature region was used to design PCR primers, which yielded a PCR product of 150 bp whose specificity was validated through a sample experiment.

Conclusions

The developed approach was successfully applied to genus Pseudomonas. It could be tried in other bacterial genera to obtain respective signature patterns and thereby PCR primers, for their rapid tracking in the environmental samples.

     

Isolation and characterization of a unicellular manganese-oxidizing bacterium from a freshwater lake in northwestern Russia

A unicellular manganese-oxidizing bacterium (strain L7), isolated from Lake Ladoga, is identified as “Siderocapsa” sp. according to its morphology. However, this bacterium belongs to the phylogenetic cluster of Pseudomonas putida. The physiological characteristics (utilization of sugars, polyols, organic acids, and phenolic substrates as carbon and energy sources) also indicate the similarity of strain L7 to representatives of the genus Pseudomonas. The growing culture oxidizes Mn(II); the rate of oxidation depends on the type of added organic substrate. Carbonate requirement for this process indicates mixotrophic metabolism. The relatedness of the isolated bacterium to the representatives of the genus Pseudomonas and their phenotypic similarity provide a basis for considering strain L7 not as “Siderocapsa” sp., but as a new species, Pseudomonas siderocapsa sp. nov., of the P. putida cluster.     

Evolution of bacterial denitrification and denitrifier diversity

Little is known about the role of nitrate in evolution of bacterial energy-generating mechanisms. Denitrifying bacteria are commonly regarded to have evolved from nitrate-respiring bacteria. Some researchers regard denitrification to be the precursor of aerobic respiration; others feel the opposite is true. Currently recognized denitrifying bacteria such as Hyphomicrobium, Paracoccus, Pseudomonas and Thiobacillus form a very diverse group. However, inadequate testing procedures and uncertain taxonomic identification of many isolates may have overstated the number of genera with species capable of denitrification. Nitrate reductases are structurally similar among denitrifying bacteria, but distinct from the enzymes in other nitrate-reducing organisms. Denitryfying bacteria have one of two types of nitrite reductase, either a copper-containing enzyme or an enzyme containing a cytochrome cd moiety. Both types are distinct from other nitrate reductases. Organisms capable of dissimilatory nitrate reduction are widely distributed among eubacterial groups defined by 16S ribosomal RNA phylogeny. Indeed, nitrate reduction is an almost universal property of actinomycetes and enteric organisms. However, denitrification is restricted to genera within the purple photosynthetic group. Denitrification within the genus Pseudomonas is distributed in accordance with DNA and RNA homology complexes. Denitrifiers seem to have evolved from a common ancestor within the purple photosynthetic bacterial group, but not from a nitrate-reducing organism such as those found today. Although denitrification seems to have arisen at the same time as aerobic respiration, the evolutionary relationship between the two cannot be determined at this time.     

Comparative Analysis of Prokaryotic Communities Associated with Organic and Conventional Farming Systems

One of the most important challenges in agriculture is to determine the effectiveness and environmental impact of certain farming practices. The aim of present study was to determine and compare the taxonomic composition of the microbiomes established in soil following long-term exposure (14 years) to a conventional and organic farming systems (CFS and OFS accordingly). Soil from unclared forest next to the fields was used as a control. The analysis was based on RT-PCR and pyrosequencing of 16S rRNA genes of bacteria and archaea. The number of bacteria was significantly lower in CFS than in OFS and woodland. The highest amount of archaea was detected in woodland, whereas the amounts in CFS and OFS were lower and similar. The most common phyla in the soil microbial communities analyzed were Proteobacteria (57.9%), Acidobacteria (16.1%), Actinobacteria (7.9%), Verrucomicrobia (2.0%), Bacteroidetes (2.7%) and Firmicutes (4.8%). Woodland soil differed from croplands in the taxonomic composition of microbial phyla. Croplands were enriched with Proteobacteria (mainly the genus Pseudomonas), while Acidobacteria were detected almost exclusively in woodland soil. The most pronounced differences between the CFS and OFS microbiomes were found within the genus Pseudomonas, which significantly (p<0,05) increased its number in CFS soil compared to OFS. Other differences in microbiomes of cropping systems concerned minor taxa. A higher relative abundance of bacteria belonging to the families Oxalobacteriaceae, Koribacteriaceae, Nakamurellaceae and genera Ralstonia, Paenibacillus and Pedobacter was found in CFS as compared with OFS. On the other hand, microbiomes of OFS were enriched with proteobacteria of the family Comamonadaceae (genera Hylemonella) and Hyphomicrobiaceae, actinobacteria from the family Micrococcaceae, and bacteria of the genera Geobacter, Methylotenera, Rhizobium (mainly Rhizobium leguminosarum) and Clostridium. Thus, the fields under OFS and CFS did not differ greatly for the composition of the microbiome. These results, which were also confirmed by cluster analysis, indicated that microbial communities in the field soil do not necessarily differ largely between conventional and organic farming systems.