Phylogenetic relationships and species differentiation of 39 Legionella species by sequence determination of the RNase P RNA gene rnpB

A robust phylogenetic framework for members of the order Legionellales and its main genera (Legionella, Aquicella, Coxiella and Rickettsiella) based on phylogenomic analyses and identification of molecular markers demarcating different clades

The order Legionellales contains several clinically important microorganisms. Although members of this order are well-studied for their pathogenesis, there is a paucity of reliable characteristics distinguishing members of this order and its constituent genera. Genome sequences are now available for 73 Legionellales species encompassing ≈90% of known members from different genera. With the aim of understanding evolutionary relationships and identifying reliable molecular characteristics that are specific for this order and its constituent genera, detailed phylogenetic and comparative analyses were conducted on the protein sequences from these genomes. A phylogenomic tree was constructed based on 393 single copy proteins that are commonly shared by the members of this order to delineate the evolutionary relationships among its members. In parallel, comparative analyses were performed on protein sequences from Legionellales genomes to identify novel molecular markers consisting of conserved signature indels (CSIs) that are specific for different clades and genera. In the phylogenomic tree and in an amino acid identity matrix based on core proteins, members of the genera Aquicella, Coxiella, Legionella and Rickettsiella formed distinct clades confirming their monophyly. In these studies, Diplorickettsia massiliensis exhibited a close relationship to members of the genus Rickettsiella. The results of our comparative genomic analyses have identified 59 highly specific molecular markers consisting of CSIs in diverse proteins that are uniquely shared by different members of this order. Four of these CSIs are specific for all Legionellales species, except the two deeper-branching "Candidatus Berkiella" species, providing means for identifying members of this order in molecular terms. Twenty four, 7 and 6 CSIs are uniquely shared by members of the genera Legionella, Coxiella and Aquicella, respectively, identifying these groups in molecular terms. The descriptions of these three genera are emended to include information for their novel molecular characteristics. We also describe 12 CSIs that are uniquely shared by D. massiliensis and different members of the genus Rickettsiella. Based on these results, we are proposing an integration of the genus Diplorickettsia with Rickettsiella. Three other CSIs suggest that members of the genera Coxiella and Rickettsiella shared a common ancestor exclusive of other Legionellales. The described molecular markers, due to their exclusivity for the indicated taxa/genera, provide important means for the identification of these clinically important microorganisms and for discovering novel properties unique to them.

Legionella qingyii sp. nov., isolated from water samples in China

Three Legionella-like strains, designed km488^T, km489 and km521, were isolated from freshwater samples in China. Cells were Gram-stain-negative, rod-shaped and non-spore-forming. Growth was observed on BCYEα agar, but not on BCYEα agar without l-cysteine, chocolate agar with PolyViteX or Columbia blood agar. The major fatty acids (>5 %) of strains km488^T, km489 and km521 were C16 : 0, anteiso-C15 : 0, iso-C16 : 0 and anteiso-C17 : 0. The mip gene sequences (574 nt) showed the isolates were almost identical with more than 99.7 % sequence similarities, and closely matched to L. gormanii ATCC 33297^T with 95.4-95.6 % sequence similarities. Phylogenetic analyses based on concatenated gene (16S rRNA, mip, rpoB and rnpB) sequences indicated that the isolates formed a distinct cluster along with L. gormanii within the genus Legionella. Matrix-assisted laser desorption ionization time-of-flight analyses also demonstrated a clear separation between the isolates and other closely and distantly related Legionella species. DNA-DNA hybridization studies demonstrated that the isolates were closely related (92.0 -95.0 % DNA-DNA relatedness) but differentiated from their phylogenetic neighbours (<70 % DNA-DNA relatedness). The whole genome of km488^T was sequenced, and showed a G+C content of 37.8 mol%. Based on the findings from this polyphasic taxonomic study, the isolates are considered to represent a single novel species, for which the name Legionella qingyii sp. nov. is proposed. The type strain is km488^T (KCTC 15636^T=CCTCC AB 2018025^T=NRBC 113223^T).

Duplex detection of the Mycobacterium tuberculosis complex and medically important non-tuberculosis mycobacteria by real-time PCR based on the rnpB gene

A duplex real-time PCR based on the rnpB gene was developed for Mycobacterium spp. The assay was specific for the Mycobacterium tuberculosis complex (MTB) and also detected all 19 tested species of non-tuberculous mycobacteria (NTM). The assay was evaluated on 404 clinical samples: 290 respiratory samples and 114 from tissue and other non-respiratory body sites. M. tuberculosis was detected by culture in 40 samples and in 30 samples by the assay. The MTB assay showed a sensitivity similar to Roche Cobas Amplicor MTB-PCR (Roche Molecular Systems, Pleasanton, CA, USA). There were only nine samples with non-tuberculous mycobacteria detected by culture. Six of them were detected by the PCR assay.

Molecular epidemiology, phylogeny and evolution of Legionella

Legionella are opportunistic pathogens that develop in aquatic environments where they multiply in protozoa. When infected aerosols reach the human respiratory tract they may accidentally infect the alveolar macrophages leading to a severe pneumonia called Legionnaires' disease (LD). The ability of Legionella to survive within host-cells is strictly dependent on the Dot/Icm Type 4 Secretion System that translocates a large repertoire of effectors into the host cell cytosol. Although Legionella is a large genus comprising nearly 60 species that are worldwide distributed, only about half of them have been involved in LD cases. Strikingly, the species Legionella pneumophila alone is responsible for 90% of all LD cases. The present review summarizes the molecular approaches that are used for L. pneumophila genotyping with a major focus on the contribution of whole genome sequencing (WGS) to the investigation of local L. pneumophila outbreaks and global epidemiology studies. We report the newest knowledge regarding the phylogeny and the evolution of Legionella and then focus on virulence evolution of those Legionella species that are known to have the capacity to infect humans. Finally, we discuss the evolutionary forces and adaptation mechanisms acting on the Dot/Icm system itself as well as the role of mobile genetic elements (MGE) encoding T4ASSs and of gene duplications in the evolution of Legionella and its adaptation to different hosts and lifestyles.

Phylogenetic Analysis of Prevalent Tuberculosis and Non-Tuberculosis Mycobacteria in Isfahan, Iran, Based on a 360 bp Sequence of the rpoB Gene

Background

Taxonomic and phylogenetic studies of Mycobacterium species have been based around the 16sRNA gene for many years. However, due to the high strain similarity between species in the Mycobacterium genus (94.3% - 100%), defining a valid phylogenetic tree is difficult; consequently, its use in estimating the boundaries between species is limited. The sequence of the rpoB gene makes it an appropriate gene for phylogenetic analysis, especially in bacteria with limited variation.

Objectives

In the present study, a 360bp sequence of rpoB was used for precise classification of Mycobacterium strains isolated in Isfahan, Iran.

Materials and Methods

From February to October 2013, 57 clinical and environmental isolates were collected, subcultured, and identified by phenotypic methods. After DNA extraction, a 360bp fragment was PCR-amplified and sequenced. The phylogenetic tree was constructed based on consensus sequence data, using MEGA5 software.

Results

Slow and fast-growing groups of the Mycobacterium strains were clearly differentiated based on the constructed tree of 56 common Mycobacterium isolates. Each species with a unique title in the tree was identified; in total, 13 nods with a bootstrap value of over 50% were supported. Among the slow-growing group was Mycobacterium kansasii, with M. tuberculosis in a cluster with a bootstrap value of 98% and M. gordonae in another cluster with a bootstrap value of 90%. In the fast-growing group, one cluster with a bootstrap value of 89% was defined, including all fast-growing members present in this study.

Conclusions

The results suggest that only the application of the rpoB gene sequence is sufficient for taxonomic categorization and definition of a new Mycobacterium species, due to its high resolution power and proper variation in its sequence (85% - 100%); the resulting tree has high validity.

Comparative analyses of Legionella species identifies genetic features of strains causing Legionnaires' disease

BACKGROUND

The genus Legionella comprises over 60 species. However, L. pneumophila and L. longbeachae alone cause over 95% of Legionnaires’ disease. To identify the genetic bases underlying the different capacities to cause disease we sequenced and compared the genomes of L. micdadei, L. hackeliae and L. fallonii (LLAP10), which are all rarely isolated from humans.

RESULTS

We show that these Legionella species possess different virulence capacities in amoeba and macrophages, correlating with their occurrence in humans. Our comparative analysis of 11 Legionella genomes belonging to five species reveals highly heterogeneous genome content with over 60% representing species-specific genes; these comprise a complete prophage in L. micdadei, the first ever identified in a Legionella genome. Mobile elements are abundant in Legionella genomes; many encode type IV secretion systems for conjugative transfer, pointing to their importance for adaptation of the genus. The Dot/Icm secretion system is conserved, although the core set of substrates is small, as only 24 out of over 300 described Dot/Icm effector genes are present in all Legionella species. We also identified new eukaryotic motifs including thaumatin, synaptobrevin or clathrin/coatomer adaptine like domains.

CONCLUSIONS

Legionella genomes are highly dynamic due to a large mobilome mainly comprising type IV secretion systems, while a minority of core substrates is shared among the diverse species. Eukaryotic like proteins and motifs remain a hallmark of the genus Legionella. Key factors such as proteins involved in oxygen binding, iron storage, host membrane transport and certain Dot/Icm substrates are specific features of disease-related strains.

Legionella norrlandica sp. nov., isolated from the biopurification systems of wood processing plants

Fourteen isolates of an unknown species identified as belonging to the genus Legionella by selective growth on BCYE agar were isolated from the biopurification systems of three different wood processing plants. The mip gene sequence of all 14 isolates was identical and a close match alignment revealed 86 % sequence similarity with Legionella pneumophila serogroup 8. The whole genome of isolate LEGNT was sequenced, and a phylogenetic tree based on the alignment of 16S rRNA, mip, rpoB, rnpB and the 23S–5S intergenic region clustered LEGNT with L. pneumophila ATCC 33152T. Analysis of virulence factors showed that strain LEGNT carries the majority of known L. pneumophila virulence factors. An amoeba infection assay performed to assess the pathogenicity of strain LEGNT towards Acanthamoeba castellanii showed that it can establish a replication vacuole in A. castellanii but does not significantly affect replication of amoebae. Taken together, the results confirm that strain LEGNT represents a novel species of the genus Legionella , for which the name Legionella norrlandica sp. nov. is proposed. The type strain is LEGNT ( = ATCC BAA-2678T = CCUG 65936T).

Evolution of the RNase P RNA structural domain in Leptospira spp

We have employed the RNase P RNA (RPR) gene, which is present as single copy in chromosome I of Leptospira spp. to investigate the phylogeny of structural domains present in the RNA subunit of the tRNA processing enzyme, RNase P. RPR gene sequences of 150 strains derived from NCBI database along with sequences determined from 8 reference strains were examined to fathom strain specific structural differences present in leptospiral RPR. Sequence variations in the RPR gene impacted on the configuration of loops, stems and bulges found in the RPR highlighting species and strain specific structural motifs. In vitro transcribed leptospiral RPR ribozymes are demonstrated to process pre-tRNA into mature tRNA in consonance with the positioning of Leptospira in the taxonomic domain of bacteria. RPR sequence datasets used to construct a phylogenetic tree exemplified the segregation of strains into their respective lineages with a (re)speciation of strain SH 9 to Leptospira borgpetersenii, strains Fiocruz LV 3954 and Fiocruz LV 4135 to Leptospira santarosai, strain CBC 613 to Leptospira kirschneri and strain HAI 1536 to Leptospira noguchii. Furthermore, it allowed characterization of an isolate P2653, presumptively characterized as either serovar Hebdomadis, Kremastos or Longnan to Leptospira weilii, serovar Longnan.

Comparative analyses of Legionella species identifies genetic features of strains causing Legionnaires’ disease

Background

The genus Legionella comprises over 60 species. However, L. pneumophila and L. longbeachae alone cause over 95% of Legionnaires’ disease. To identify the genetic bases underlying the different capacities to cause disease we sequenced and compared the genomes of L. micdadei, L. hackeliae and L. fallonii (LLAP10), which are all rarely isolated from humans.

Results

We show that these Legionella species possess different virulence capacities in amoeba and macrophages, correlating with their occurrence in humans. Our comparative analysis of 11 Legionella genomes belonging to five species reveals highly heterogeneous genome content with over 60% representing species-specific genes; these comprise a complete prophage in L. micdadei, the first ever identified in a Legionella genome. Mobile elements are abundant in Legionella genomes; many encode type IV secretion systems for conjugative transfer, pointing to their importance for adaptation of the genus. The Dot/Icm secretion system is conserved, although the core set of substrates is small, as only 24 out of over 300 described Dot/Icm effector genes are present in all Legionella species. We also identified new eukaryotic motifs including thaumatin, synaptobrevin or clathrin/coatomer adaptine like domains.

Conclusions

Legionella genomes are highly dynamic due to a large mobilome mainly comprising type IV secretion systems, while a minority of core substrates is shared among the diverse species. Eukaryotic like proteins and motifs remain a hallmark of the genus Legionella. Key factors such as proteins involved in oxygen binding, iron storage, host membrane transport and certain Dot/Icm substrates are specific features of disease-related strains.

Electronic supplementary material

The online version of this article (doi:10.1186/s13059-014-0505-0) contains supplementary material, which is available to authorized users.

Differentiation and phylogenetic relationships in Mycobacterium spp with special reference to the RNase P RNA gene rnpB

The rnpB gene encodes for the RNA subunit of the catalytic ribonuclease RNase P and is present in all bacteria and has both conserved and highly variable sequence regions. Determination of rnpB in 35 Mycobacterium spp. showed species specific sequences for all species except the Mycobacterium tuberculosis complex (four species). High sequence variation was seen in the P3, P15 and P19 regions of suggested secondary structures of the corresponding RNase P RNA molecules. Phylogenetic analysis showed that rnpB gave similar tree topologies as 16S rRNA and hsp65 genes. A combined analysis of the three genes increased the number of nodes with significant support from 10 to 19. The results indicate that rnpB is useful for phylogenetic studies and is a possible target for identification and detection of Mycobacterium spp.

Legionellaand non-Legionellabacteria in a biological treatment plant

Legionella pneumophila were previously identified in the aeration ponds (up to 1010CFU/L) of a biological wastewater treatment plant at Borregaard Ind. Ltd., Sarpsborg, Norway, and in air samples (up to 3300 CFU/m3) collected above the aeration ponds. After 3 outbreaks of Legionnaires’ disease reported in this area in 2005 and 2008, the aeration ponds of the plant were shut down by the Norwegian authorities in September 2008. The aim of the present work was to analyze the Legionella and non-Legionella bacterial communities in the aeration ponds before and during the shutdown process and to identify potential human pathogens. The non-Legionella bacterial community was investigated in selected samples during the shutdown process by 16S rDNA sequencing of clone libraries (400 clones) and growth analysis. The concentration of L. pneumophila and Pseudomonas spp. DNA were monitored by quantitative PCR. Results showed a decrease in the concentration of L. pneumophila and Pseudomonas spp. during the shutdown. This was accompanied by a significant change in the composition of the bacterial community in the aeration ponds. This study demonstrated that several advanced analytical methods are necessary to characterize the bacterial population in complex environments, such as the industrial aeration ponds.

Sequence-based identification of legionella

Legionella strains are considered biologically inert with respect to traditional identification schemes. Various phenotypic alternatives have been attempted but all have lacked resolution as additional species have been added to what is proving to be a large genus. Only sequence-based schemes have the required resolution to confidently speciate or recognize potentially novel strains. The mip gene target is the most comprehensive currently available, with the added advantage of a Web-based analysis tool. Other gene targets are available for most if not all species, the best of which target 16S rRNA, rpoB, rnpB, or proA genes. One or several of these should be used to confirm important strains or clarify apparent novelness. The increased resolution of these sequence-based schemes has recognized many new species, and many more remain to be characterized. I provide a mip analysis of 44 such strains along with the recognized species, and a SplitsTree network analysis of recognized species and 20 novel strains for which sequence for the five targets is available.

Identification of legionella in clinical samples

Currently, several methods are used for the detection of Legionella in clinical samples, and these methods constitute part of the criteria for defining legionellosis cases. Urinary antigen detection is the first-line diagnostic test, although this test is limited to L. pneumophila serogroup 1 (Lp1) (Helbig et al., J Clin Microbiol 41:838-840, 2003). The use of molecular techniques can improve Legionaire's disease (LD) diagnosis by detecting other serogroups and species (Diederen et al., J Clin Microbiol 46:671-677, 2008). The isolation of Legionella strains from pulmonary samples by axenic culture is still required to perform further epidemiological investigations (Blyth et al., N S W Public Health Bull 20:157-161, 2009; Fields et al., Clin Microbiol Rev 15:506-526, 2002) but demonstrates various sensitivities. Amoebic coculture has been described as a method to recover Legionella from clinical culture-negative specimens (La Scola et al., J Clin Microbiol 39:365-366, 2001; Rowbotham, J Clin Pathol 36:978-986, 1983) and can be proposed for optimizing Legionella strain isolation from samples contaminated by oropharyngeal flora. Identification of Legionella isolates is based on serological characterization, genotypic methods (with sequencing of the mip gene as the standard method) and, more recently, the Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) method.This chapter is limited to the identification of Legionella in clinical samples; antibody detection in human serum will not be discussed.

Legionella cardiaca sp. nov., isolated from a case of native valve endocarditis in a human heart

A Gram-negative, rod-shaped bacterium, designated H63(T), was isolated from aortic valve tissue of a patient with native valve endocarditis. 16S rRNA gene sequencing revealed that H63(T) belongs to the genus Legionella, with its closest neighbours being the type strains of Legionella brunensis (98.8% similarity), L. londiniensis (97.0%), L. jordanis (96.8%), L. erythra (96.2%), L. dresdenensis (96.0%) and L. rubrilucens, L. feeleii, L. pneumophila and L. birminghamensis (95.7%). DNA-DNA hybridization studies yielded values of <70% relatedness between strain H63(T) and its nearest neighbours in terms of 16S rRNA gene sequence similarity, indicating that the strain represents a novel species. Phylogenetic analysis of the 16S rRNA, macrophage infectivity potentiator (mip) and RNase P (rnpB) genes confirmed that H63(T) represents a distinct species, with L. brunensis being its closest sister taxon. Fatty acid composition and biochemical traits, such as the inability to ferment glucose and reduce nitrate, supported the affiliation of H63(T) to the genus Legionella. H63(T) was distinguishable from its neighbours based on it being positive for hippurate hydrolysis. H63(T) was further differentiated by its inability to grow on BCYE agar at 17 °C, its poor growth on low-iron medium and the absence of sliding motility. Also, H63(T) did not react with antisera generated from type strains of Legionella species. H63(T) replicated within macrophages. It also grew in mouse lungs, inducing histopathological evidence of pneumonia and dissemination to the spleen. Together, these results confirm that H63(T) represents a novel, pathogenic Legionella species, for which the name Legionella cardiaca sp. nov. is proposed. The type strain is H63(T) ( = ATCC BAA-2315(T)  = DSM 25049(T)  = JCM 17854(T)).

Genetic speciation of environmental Legionella isolates in Thailand

Legionella-like organisms were isolated during 2003-2007 from various water resources by culturing on selective media of Wadowsky-Yee-Okuda agar. The 256 isolates were identified as belonging to the Legionella genus based on detection of 108 bp PCR product of the 5S rRNA gene, while the inclusion as Legionella pneumophila were confirmed by PCR detection of a specific mip gene region of 168 bp. The 50 isolates, identified as non-pneumophila, were then subjected to DNA tree analysis, based on mip gene of ~650 bp and rnpB genes product ranged from 304 to 354 bp. Phylogenetic tree was constructed to predict their species in relative to the available database. The isolates of which their speciation, based on those two genes were inconclusive, were then investigated for the almost full-length of 16S rRNA sequences. The isolates were assigned as 16 known Legionella species, and proposed seven novel species based on their unique 16S rRNA sequence.

Legionella tunisiensis sp. nov. and Legionella massiliensis sp. nov., isolated from environmental water samples

Two isolates of intra-amoeba-growing bacteria, LegA(T) ( = DSM 24804(T) = CSUR P146(T)) and LegM(T) ( = DSM 24805(T) = CSUR P145(T)), were characterized on the basis of microscopic appearance, staining characteristics, axenic growth at different temperatures and the sequences of the mip, rpoB, 16S rRNA and rnpb genes, as well as the 23S-5S region. Phylogenetic analysis showed that these two isolates lay within the radius of the family Legionellaceae. Furthermore, the analysis of these genes yielded congruent data that indicated that, although strain LegM(T) clusters specifically with Legionella feeleii ATCC 35072(T) and LegA(T) clusters with Legionella nautarum ATCC 49596(T), the divergence observed between these species was greater than that observed between other members of the family. Taken together, these results support the proposal that these two isolates represent novel members of the genus Legionella, and we propose to name them Legionella tunisiensis sp. nov. for LegM(T) ( = DSM 24805(T) = CSUR P145(T)) and Legionella massiliensis sp. nov. for LegA(T) ( = DSM 24804(T) = CSUR P146(T)).

Diversity and distribution of the bioactive actinobacterial genus Salinispora from sponges along the Great Barrier Reef

Isolates from the marine actinobacterial genus Salinispora were cultured from marine sponges collected from along the length of the Great Barrier Reef (GBR), Queensland, Australia. Strains of two species of Salinispora, Salinispora arenicola and "Salinispora pacifica", were isolated from GBR sponges Dercitus xanthus, Cinachyrella australiensis and Hyattella intestinalis. Phylogenetic analysis of the 16S rRNA gene sequences of representative strains, selected via BOX-PCR screening, identified previously unreported phylotypes of the species "S. pacifica". The classification of these microdiverse 16S rRNA groups was further confirmed by analysis of the ribonuclease P RNA (RNase P RNA) gene through both phylogenetic and secondary structure analysis. The use of RNase P RNA sequences combined with 16S rRNA sequences allowed distinction of six new intraspecies phylotypes of "S. pacifica" within the geographical area of the GBR alone. One of these new phylotypes possessed a localised regional distribution within the GBR.

Rapid discrimination of potato scab-causing Streptomyces species based on the RNase P RNA gene sequences

Scab disease significantly damages potatoes and other root crops. Some Streptomyces species have been reported as potato-scab pathogens. Identification of the phytopathogenic Streptomyces is mainly done on the basis of the 16S rRNA gene, but use of this gene has some limitations for discriminating these strains because they share high similarities of 16S rRNA gene sequences. We tested the RNase P RNA (rnpB) gene as a taxonomic marker to clarify the relationship among closely related scab-causing Streptomyces strains. The rnpB genes were analyzed for 41 strains including 9 isolates from Jeju, Korea. There were 4 highly variable regions including nucleotide gaps in the rnpB genes. Interspecies similarity of the rnpB gene in tested Streptomyces strains was lower than about 97%, while the intraspecies similarity was higher than about 98%. Phylogenetic analysis demonstrated that the rnpB tree has similar topology to the 16S rRNA gene tree, but produces a more divergent phyletic lineage. These results revealed that the rnpB gene could be used as a powerful taxonomic tool for rapid differentiation of closely related Streptomyces species. In addition, it was also suggested that the variable regions marked as α, β, γ, and δ in the rnpB gene could be useful markers for the detection of specific Streptomyces species.

Legionella steelei sp. nov., isolated from human respiratory specimens in California, USA, and South Australia

Legionella-like bacteria were isolated from the respiratory tract of two patients in California, USA, and South Australia, but were not thought to cause disease. These bacteria, strains F2632 and IMVS-3376(T), were found to have identical Legionella macrophage infectivity potentiator (mip) gene sequences and were therefore further characterized to determine their genetic and phenotypic relatedness and properties. Both of these Gram-negative-staining bacterial strains grew on buffered charcoal yeast extract medium, were cysteine auxotrophs and made a characteristic diffusible bright yellow fluorescent pigment, with one strain making a late appearing colony-bound blue-white fluorescent pigment. The optimal in vitro growth temperature was 35 °C, with very poor growth at 37 °C in broth or on solid media. There was no growth in human A549 cells at either 35 or 37 °C, but excellent growth in Acanthamoeba castellani at 30 °C and poorer growth at 35 °C. Phylogenetic analysis of these bacteria was performed by sequence analysis of 16S rRNA, mip, ribonuclease P, ribosomal polymerase B and zinc metalloprotease genes. These studies confirmed that the new strains represented a single novel species of the genus Legionella for which the name Legionella steelei sp. nov. is proposed. The type strain is IMVS-3376(T) ( = IMVS 3113(T) = ATCC BAA-2169(T)).

Sequencing illustrates the transcriptional response of Legionella pneumophila during infection and identifies seventy novel small non-coding RNAs

Second generation sequencing has prompted a number of groups to re-interrogate the transcriptomes of several bacterial and archaeal species. One of the central findings has been the identification of complex networks of small non-coding RNAs that play central roles in transcriptional regulation in all growth conditions and for the pathogen's interaction with and survival within host cells. Legionella pneumophila is a Gram-negative facultative intracellular human pathogen with a distinct biphasic lifestyle. One of its primary environmental hosts in the free-living amoeba Acanthamoeba castellanii and its infection by L. pneumophila mimics that seen in human macrophages. Here we present analysis of strand specific sequencing of the transcriptional response of L. pneumophila during exponential and post-exponential broth growth and during the replicative and transmissive phase of infection inside A. castellanii. We extend previous microarray based studies as well as uncovering evidence of a complex regulatory architecture underpinned by numerous non-coding RNAs. Over seventy new non-coding RNAs could be identified; many of them appear to be strain specific and in configurations not previously reported. We discover a family of non-coding RNAs preferentially expressed during infection conditions and identify a second copy of 6S RNA in L. pneumophila. We show that the newly discovered putative 6S RNA as well as a number of other non-coding RNAs show evidence for antisense transcription. The nature and extent of the non-coding RNAs and their expression patterns suggests that these may well play central roles in the regulation of Legionella spp. specific traits and offer clues as to how L. pneumophila adapts to its intracellular niche. The expression profiles outlined in the study have been deposited into Genbank's Gene Expression Omnibus (GEO) database under the series accession GSE27232.

Rapid identification of Legionella spp. by MALDI-TOF MS based protein mass fingerprinting

A set of reference strains representing 38 different Legionella species were submitted to Whole Cell Mass Spectrometry (WCMS) with MALDI-TOF. The dendrogram computed from strain mass spectral patterns obtained by WCMS was compared to the phylogenetic tree obtained from macrophage infectivity potentiator (mip) sequences. The trees inferred from these two methods revealed significant homologies. Using 453 Legionella isolates previously characterized by genotyping, it was possible to create species-specific SuperSpectra, using appropriate sets of spectral masses, allowing unambiguous differentiation and identification of the most frequently isolated Legionella species. These SuperSpectra were tested for their suitability to identify Legionella strains isolated from water samples, cooling towers, potting soils and patient specimens deposited at the Swiss National Reference Centre for Legionella and previously identified by molecular methods such as mip gene sequencing. 99.1% of the tested strains isolated from the environment could be correctly identified by comparison with the new SuperSpectra. The identification of Legionella spp. by MALDI-TOF MS is rapid, easy to perform and has the advantage of being time- and cost-saving, in comparison to sequence-based identification.

Characterisation of Australian MRSA strains ST75- and ST883-MRSA-IV and analysis of their accessory gene regulator locus

BACKGROUND

Community-acquired methicillin-resistant Staphylococcus aureus have become a major problem in Australia. These strains have now been isolated throughout Australia including remote Indigenous communities that have had minimal exposure to healthcare facilities. Some of these strains, belonging to sequence types ST75 and ST883, have previously been reported to harbour highly divergent alleles of the housekeeping genes used in multilocus sequence typing.

METHODOLOGY/PRINCIPAL FINDINGS

ST75-MRSA-IV and ST883-MRSA-IV isolates were characterised in detail. Morphological features as well as 16S sequences were identical to other S. aureus strains. Although a partial rnpB gene sequence was not identical to previously known S. aureus sequences, it was found to be more closely related to S. aureus than to other staphylococci. Isolates also were screened using diagnostic DNA microarrays. These isolates yielded hybridisation results atypical for S. aureus. Primer directed amplification assays failed to detect species markers (femA, katA, sbi, spa). However, arbitrarily primed amplification indicated the presence of unknown alleles of these genes. Isolates could not be assigned to capsule types 1, 5 or 8. The allelic group of the accessory gene regulator (agr) locus was not determinable. Sequencing of a region of agrB, agrC and agrD (approximately 2,100 bp) revealed a divergent sequence. However, this sequence is more related to S. aureus agr alleles I and IV than to agr sequences from other Staphylococcus species. The predicted auto-inducing peptide (AIP) sequence of ST75 was identical to that of agr group I, while the predicted AIP sequence of ST883 was identical to agr group IV.

CONCLUSIONS/SIGNIFICANCE

The genetic properties of ST75/ST883-MRSA may be due to a series of evolutionary events in ancient insulated S. aureus strains including a convergent evolution leading to agr group I- or IV-like AIP sequences and a recent acquisition of SCCmec IV elements.

A novel Chlamydiaceae-like bacterium found in faecal specimens from sea birds from the Bering Sea

The family Chlamydiaceae contains several bacterial pathogens of important human and veterinary medical concern, such as Chlamydia trachomatis and Chlamydophila psittaci. Within the order Chlamydiales there are also an increasing number of chlamydia-like bacteria whose biodiversity, host range and environmental spread seem to have been largely underestimated, and which are currently being investigated for their potential medical relevance. In this study we present 16S rRNA, rnpB and ompA gene sequence data congruently indicating a novel chlamydia-like bacterium found in faecal specimens from opportunistic fish-eating sea birds, belonging to the Laridae and Alcidae families, from the Bering Sea. This novel bacterium appears to be closer to the Chlamydiaceae than other chlamydia-like bacteria and is most likely a novel genus within the Chlamydiaceae family.

Legionella dresdenensis sp. nov., isolated from river water

Legionella-like isolates, strains W03-356(T), W03-357 and W03-359, from three independent water samples from the river Elbe, Germany, were analysed by using a polyphasic approach. Morphological and biochemical characterization revealed that they were Gram-negative, aerobic, non-spore-forming bacilli with a cut glass colony appearance that grew only on L-cysteine-supplemented buffered charcoal yeast extract agar. Phylogenetic analysis based on sequence comparisons of the 16S rRNA, macrophage infectivity potentiator (mip), gyrase subunit A (gyrA), ribosomal polymerase B (rpoB) and RNase P (rnpB) genes confirmed that the three isolates were distinct from recognized species of the genus Legionella. Phenotypic characterization of strain W03-356(T) based on fatty acid profiles confirmed that it was closely related to Legionella rubrilucens ATCC 35304(T) and Legionella pneumophila ATCC 33152(T), but distinct from other species of the genus Legionella. Serotyping of the isolates showed that they were distinct from all recognized species of the genus Legionella. Strains W03-356(T), W03-357 and W03-359 are thus considered to represent a novel species of the genus Legionella, for which the name Legionella dresdenensis sp. nov. is proposed. The type strain is W03-356(T) (=DSM 19488(T)=NCTC 13409(T)).

Detection of Haemophilus influenzae in respiratory secretions from pneumonia patients by quantitative real-time polymerase chain reaction

A quantitative real-time polymerase chain reaction (PCR) based on the omp P6 gene was developed to detect Haemophilus influenzae. Its specificity was determined by analysis of 29 strains of 11 different Haemophilus spp. and was compared with PCR assays having other target genes: rnpB, 16S rRNA, and bexA. The method was evaluated on nasopharyngeal aspirates from 166 adult patients with community-acquired pneumonia. When 10(4) DNA copies/mL was used as cutoff limit for the method, P6 PCR had a sensitivity of 97.5% and a specificity of 96.0% compared with the culture. Of 20 culture-negative but P6 PCR-positive cases, 18 were confirmed by fucK PCR as H. influenzae. Five (5.9%) of 84 nasopharyngeal aspirates from adult controls tested PCR positive. We conclude that the P6 real-time PCR is both sensitive and specific for identification of H. influenzae in respiratory secretions. Quantification facilitates discrimination between disease-causing H. influenzae strains and commensal colonization.

The rpoB gene as a tool for clinical microbiologists

The rpoB gene, encoding the beta-subunit of RNA polymerase, has emerged as a core gene candidate for phylogenetic analyses and identification of bacteria, especially when studying closely related isolates. Together with the 16S rRNA gene, rpoB has helped to delineate new bacterial species and refine bacterial community analysis, as well as enabling the monitoring of rifampicin resistance-conferring mutations. Sequencing of rpoB enables efficient estimation of bacterial G+C% content, DNA-DNA hybridization value and average nucleotide identity (percentage of the total genomic sequence shared between two strains) when taxonomic relationships have been firmly established. New identification tools targeting a rpoB gene fragment located between positions 2300 and 3300 have been developed recently. Therefore, inclusion of the rpoB gene sequence would be useful when describing new bacterial species.

Identification of species of viridans group streptococci in clinical blood culture isolates by sequence analysis of the RNase P RNA gene, rnpB

OBJECTIVES

Viridans group streptococci (VGS) cause severe diseases such as infective endocarditis and septicaemia. Genetically, VGS species are very close to each other and it is difficult to identify them to species level with conventional methods. The aims of the present study were to use sequence analysis of the RNase P RNA gene (rnpB) to identify VGS species in clinical blood culture isolates, and to compare the results with the API 20 Strep system that is based on phenotypical characteristics.

METHODS

Strains from patients with septicaemia or endocarditis were analysed with PCR amplification and sequence analysis of the rnpB gene. Clinical data were registered as well.

RESULTS

One hundred and thirty two VGS clinical blood culture isolates from patients with septicaemia (n=95) or infective endocarditis (n=36) were analysed; all but one were identified by rnpB. Streptococcus oralis, Streptococcus sanguinis and Streptococcus gordonii strains were most common in the patients with infective endocarditis. In the isolates from patients with haematological diseases, Streptococcus mitis and S. oralis dominated. In addition in 76 of the isolates it was possible to compare the results from rnpB analysis and the API 20 Strep system. In 39/76 (51%) of the isolates the results were concordant to species level; in 55 isolates there were no results from API 20 Strep.

CONCLUSION

Sequence analysis of the RNase P RNA gene (rnpB) showed that almost all isolates could be identified. This could be of importance for evaluation of the portal of entry in patients with septicaemia or infective endocarditis.

Identification of Legionella spp. by 19 European reference laboratories: results of the European Working Group for Legionella Infections External Quality Assessment Scheme using DNA sequencing of the macrophage infectivity potentiator gene and dedicated online tools

Identification of Legionella spp. can be achieved by DNA sequencing of the macrophage infectivity potentiator (mip) gene. The External Quality Assurance (EQA) scheme described in this report is the first to assess the proficiency of laboratories using this methodology. The results obtained from two EQA distributions sent to European reference laboratories involved in Legionella outbreak control and environmental monitoring are presented. Each distribution contained a panel of ten coded Legionella strains. All strains were from clinical and environmental sources and were considered to be wild-type strains. Participants used dedicated online tools to compare sequence text files against a database of known Legionella spp. The majority of centres (seven of ten, and 11 of 12) correctly identified all strains tested, in the first and second distributions, respectively. Typically, sequence similarity values of 98-100% were obtained when the test strains were compared with sequences contained in the database. In all but one case, lower values indicated a poor quality sequence. The exception was associated with the identification of a putative new species in the first panel. Genotypic identification of Legionella can be achieved by the use of standard protocols, dedicated identification libraries, and online tools. EQA schemes provide an independent measure of performance, and it is recommended that laboratories performing these techniques participate in such schemes, thereby allowing optimisation of and improvements in their performance.

Genetic analysis of housekeeping genes of members of the genus Acholeplasma: Phylogeny and complementary molecular markers to the 16S rRNA gene

The partial nucleotide sequences of the rpoB and gyrB genes as well as the complete sequence of the 16S-23S rRNA intergenic transcribed spacer (ITS) were determined for all known Acholeplasma species. The same genes of Mesoplasma and Entomoplasma species were also sequenced and used to infer phylogenetic relationships among the species within the orders Entomoplasmatales and Acholeplasmatales. The comparison of the ITS, rpoB, and gyrB phylogenetic trees with the 16S rRNA phylogenetic tree revealed a similar branch topology suggesting that the ITS, rpoB, and gyrB could be useful complementary phylogenetic markers for investigation of evolutionary relationships among Acholeplasma species. Thus, the multilocus phylogenetic analysis of Acholeplasma multilocale sequence data (ATCC 49900 (T) = PN525 (NCTC 11723)) strongly indicated that this organism is most closely related to the genera Mesoplasma and Entomoplasma (family Entomoplasmataceae) and form the branch with Mesoplasma seiffertii, Mesoplasma syrphidae, and Mesoplasma photuris. The closest genetic relatedness of this species to the order Entomoplasmatales was additionally supported by the finding that A. multilocale uses UGA as the tryptophan codon in its gyrB and gyrA sequences. Use of the UGA codon for encoding tryptophan was previously reported as a unique genetic feature of Entomoplasmatales and Mycoplasmatales but not of Acholeplasmatales. These data, as well as previously published data on metabolic features of A. multilocale, leads to the proposal to reclassify A. multilocale as a member of the family Entomoplasmataceae.

Multiplex real-time PCR targeting the RNase P RNA gene for detection and identification of Candida species in blood

We have developed a single-tube multiplex real-time PCR method for the detection of the eight most common Candida species causing septicemia: Candida albicans, C. dubliniensis, C. famata, C. glabrata, C. guilliermondii, C. krusei, C. parapsilosis, and C. tropicalis. The method developed targets the RNase P RNA gene RPR1. Sequences of this gene were determined for seven of the Candida species and showed surprisingly large sequence variation. C. glabrata was found to have a gene that was five times longer gene than those of the other species, and the nucleotide sequence similarity between C. krusei and C. albicans was as low as 55%. The multiplex PCR contained three probes that enabled the specific detection of C. albicans, C. glabrata, and C. krusei and a fourth probe that allowed the general detection of the remaining species. The method was able to detect 1 to 10 genome copies when the detection limit was tested repeatedly for the four species C. albicans, C. glabrata, C. krusei, and C. guilliermondii. No significant difference in the detection limit was seen when the multiplex format was compared with single-species PCR, i.e., two primers and one probe. The method detected eight clinically relevant Candida species and did not react with other tested non-Candida species or human DNA. The assay was applied to 20 blood samples from nine patients and showed a sensitivity similar to that of culture.

Identification of 43 Streptococcus species by pyrosequencing analysis of the rnpB gene

Pyrosequencing technology was evaluated for identification of species within the Streptococcus genus. Two variable regions in the rnpB gene, which encodes the RNA subunit of endonuclease P, were sequenced in two reactions. Of 43 species, all could be identified to the species level except strains of the species pairs Streptococcus anginosus/S. constellatus and S. infantis/S. peroris. A total of 113 blood culture isolates were identified by pyrosequencing analysis of partial rnpB sequences. All but eight isolates could be unambiguously assigned to a specific species when the first 30 nucleotides of the two regions were compared to an rnpB database comprising 107 streptococcal strains. Principal coordinate analysis of sequence variation of strains from viridans group streptococci resulted in species-specific clusters for the mitis and the salivarius groups but not for the anginosus group. The identification capacity of pyrosequencing was compared to the biochemical test systems VITEK 2 and Rapid ID 32 Strep. The concordance between pyrosequencing and VITEK 2 was 75%, and for Rapid ID 32 Strep the corresponding figure was 77%. Isolates with discrepant identifications in the three methods were subjected to entire rnpB DNA sequence analysis that confirmed the identifications by pyrosequencing. In conclusion, pyrosequencing analysis of the rnpB gene can reliably identify Streptococcus species with high resolution.