Identification of Vibrio anguillarum in fish by using partial 16S rRNA sequences and a specific 16S rRNA oligonucleotide probe.

16S rRNA from seven different Vibrio anguillarum strains was partially sequenced and compared. From this sequence information we could design a 25-base-long oligonucleotide and use it as a specific probe for identification of V. anguillarum. This was determined by RNA-DNA colony hybridization and slot-blot hybridization. Strong, specific hybridization to the probe was observed for all V. anguillarum strains tested. Furthermore, no cross-hybridization could be seen against five other bacterial species. The detection limit was 5 x 10(3) bacteria per ml. It was even possible to detect V. anguillarum, by slot-blot hybridization, directly in a homogenized kidney from a fish that had died of vibriosis. The partial sequence information revealed small but significant differences between strains of the same species. These sequence differences are sufficiently significant to allow serotyping on the RNA level. Comparing strains of different serotypes revealed a 10-base and an 11-base difference in V. anguillarum serotypes O8 and O9, respectively, in a 122-base partial sequence.     

Identification of Vibrio anguillarum in fish by using partial 16S rRNA sequences and a specific 16S rRNA oligonucleotide probe

16S rRNA from seven different Vibrio anguillarum strains was partially sequenced and compared. From this sequence information we could design a 25-base-long oligonucleotide and use it as a specific probe for identification of V. anguillarum. This was determined by RNA-DNA colony hybridization and slot-blot hybridization. Strong, specific hybridization to the probe was observed for all V. anguillarum strains tested. Furthermore, no cross-hybridization could be seen against five other bacterial species. The detection limit was 5 x 10(3) bacteria per ml. It was even possible to detect V. anguillarum, by slot-blot hybridization, directly in a homogenized kidney from a fish that had died of vibriosis. The partial sequence information revealed small but significant differences between strains of the same species. These sequence differences are sufficiently significant to allow serotyping on the RNA level. Comparing strains of different serotypes revealed a 10-base and an 11-base difference in V. anguillarum serotypes O8 and O9, respectively, in a 122-base partial sequence.     

Identification of IAA-producing endophytic bacteria from micropropagated Echinacea plants using 16S rRNA sequencing

The presence of latent bacteria is a serious problem in plant tissue cultures. While endophytes are generally beneficial to plants in situ, they may affect culture growth under the modified conditions in vitro. The present study was undertaken to identify and characterize endophytic bacteria associated with the medicinal plant Echinacea in tissue culture. Based on classical microbiological tests and 16S rRNA analyses, it was found that endophytic bacteria associated with aseptically micropropagated Echinacea plantlets are representatives of several genera, Acinetobacter, Bacillus, Pseudomonas, Wautersia (Ralstonia) and Stenotrophomonas. Based on TLC and HPLC analyses, we found that Pseudomonas stutzeri P3 strain produces plant hormone, auxin (indole-3-acetic acid, IAA). Antibiotic resistance was also assessed as a virulence factor. The majority of endophytic bacteria were resistant to the antibiotic kanamycin, but susceptible to chloramphenicol. Recommendations for propagating Echinacea in vitro cultures involve the addition of chloramphenicol, tetracycline, and ampicillin, antibiotics that cause no side effects on these plant species.     

Analysis of a marine picoplankton community by 16S rRNA gene cloning and sequencing.

The phylogenetic diversity of an oligotrophic marine picoplankton community was examined by analyzing the sequences of cloned ribosomal genes. This strategy does not rely on cultivation of the resident microorganisms. Bulk genomic DNA was isolated from picoplankton collected in the north central Pacific Ocean by tangential flow filtration. The mixed-population DNA was fragmented, size fractionated, and cloned into bacteriophage lambda. Thirty-eight clones containing 16S rRNA genes were identified in a screen of 3.2 x 10(4) recombinant phage, and portions of the rRNA gene were amplified by polymerase chain reaction and sequenced. The resulting sequences were used to establish the identities of the picoplankton by comparison with an established data base of rRNA sequences. Fifteen unique eubacterial sequences were obtained, including four from cyanobacteria and eleven from proteobacteria. A single eucaryote related to dinoflagellates was identified; no archaebacterial sequences were detected. The cyanobacterial sequences are all closely related to sequences from cultivated marine Synechococcus strains and with cyanobacterial sequences obtained from the Atlantic Ocean (Sargasso Sea). Several sequences were related to common marine isolates of the gamma subdivision of proteobacteria. In addition to sequences closely related to those of described bacteria, sequences were obtained from two phylogenetic groups of organisms that are not closely related to any known rRNA sequences from cultivated organisms. Both of these novel phylogenetic clusters are proteobacteria, one group within the alpha subdivision and the other distinct from known proteobacterial subdivisions. The rRNA sequences of the alpha-related group are nearly identical to those of some Sargasso Sea picoplankton, suggesting a global distribution of these organisms.     

Comparison of genotypic and phylogenetic relationships of environmental Enterococcus isolates by BOX-PCR typing and 16S rRNA gene sequencing

Environmental Enterococcus spp. were compared by BOX-PCR genotyping and 16S rRNA gene sequencing to clarify the predictive relationship of BOX-PCR fingerprints to species designation. BOX-PCR and 16S rRNA gene relationships agreed for 77% of strains. BOX-PCR provided superior intraspecies discrimination but incorrectly identified some strains to the species level and divided some species into multiple groups.     

Comparison of 16S rRNA sequencing with biochemical testing for species-level identification of clinical isolates of Neisseria spp.

We aimed to compare accuracy of genus and species level identification of Neisseria spp. using biochemical testing and 16S rRNA sequence analysis. These methods were evaluated using 85 Neisseria spp. clinical isolates initially identified to the genus level by conventional biochemical tests and API NH system (Bio-Mérieux^®). In 34 % (29/85), more than one possibility was given by 16S rRNA sequence analysis. In 6 % (5/85), one of the possibilities offered by 16S rRNA gene sequencing, agreed with the result given by biochemical testing. In 4 % (3/85), the same species was given by both methods. 16S rRNA gene sequencing results did not correlate well with biochemical tests.     

16S rRNA PCR鉴定脆弱类杆菌

目的:应用16SrRNA序列设计PCR引物鉴别脆弱类杆菌。方法:通过脆弱类杆菌16SrRNA序列特异性位点设计引物,对4株脆弱类杆菌及大肠杆菌、乳酸杆菌、嗜热链球菌等进行PCR扩增。应用琼脂糖电泳法对PCR扩增产物进行特异性检测。结果:脆弱类杆菌在176bp左右出现特异性条带,而其他细菌均未出现特异性条带。结论:通过16SrRNA序列中特异位点设计引物进行PCR,可特异性鉴定脆弱类杆菌。     

Study of bacterial communities in Antarctic coastal waters by a combination of 16S rRNA and 16S rDNA sequencing

An ecological study on distribution of Antarctic bacterial communities was determined by 16S-based phylogenetic analyses of clone libraries derived from RNA and DNA extracted from two different marine areas and compared between each other. Superficial seawater samples were collected from four stations in Ross Sea, three of them located in Rod Bay and one in Evans Cove; for each station two clone libraries (16S rDNA and 16S rRNA) were prepared and evident divergences between DNA and RNA libraries of each site were obtained. Of all phylotypes 93.6% were found in RNA libraries; in contrast, only 31 phylotypes (70.5%) were retrieved from total microbial community (DNA libraries). DNA and RNA sequences related to gamma-Proteobacteria and Bacteroidetes groups, typical for Antarctic sea-ice bacterial communities, were detected in analysed sites. 16S rDNA and rRNA libraries derived from the two different areas were enriched by picophytoplanktonic 16S sequences of plastid and mitochondrion origins, reflecting that the algal blooms occurred during sampling (Antarctic summer 2003). The finding in Rod Bay libraries of high percentage of DNA clones apparently affiliated with beta-Proteobacteria typical for activated sludges and well water could be explained by the presence of a sewage depuration system at this site. Obtained results clearly demonstrate that combination of 16S rDNA and 16S rRNA gene sequencing is preferred approach to have a more reliable vision on the composition of microbial communities.     

Phylogenetic diversity in the genus Bacillus as seen by 16S rRNA sequencing studies

Comparative sequence analysis of 16S ribosomal (r)RNAs or DNAs of Bacillus alvei, B. laterosporus, B. macerans, B. macquariensis, B. polymyxa and B. stearothermophilus revealed the phylogenetic diversity of the genus Bacillus. Based on the presently available data set of 16S rRNA sequences from bacilli and relatives at least four major "Bacillus clusters" can be defined: a "Bacillus subtilis cluster" including B. stearothermophilus, a "B. brevis cluster" including B. laterosporus, a "B. alvei cluster" including B. macerans, B. maquariensis and B. polymyxa and a "B. cycloheptanicus branch".     

A polyphasic approach for the differentiation of environmental Vibrio isolates from temperate waters

Climate change and marine traffic lead to changing species communities in the oceans. Due to increasing seawater temperatures, pathogenic Vibrio species could become significant even in temperate waters. We classified mesophilic Vibrio isolates from the German Bight (North Sea) using a polyphasic approach with special emphasis on Vibrio parahaemolyticus. Matrix-assisted laser desorption/ionization time-of-flight MS was used as a primary screen to classify isolates, 16S rRNA gene and rpoB gene sequencing to identify species. Potential V. parahaemolyticus isolates were screened for regulatory or virulence-related genes (toxR, tlh, tdh, trh). To investigate genomic diversity, we applied repetitive-sequence-based PCRs. Results were evaluated and methods compared using multivariate statistical analysis. Most isolates were classified as V. parahaemolyticus or Vibrio alginolyticus. Reliable differentiation between both species was achieved by rpoB sequencing and toxR detection. Among the fingerprinting methods, ERIC-PCR showed the highest discriminatory power, displaying three separated clusters. These clusters represent the species V. parahaemolyticus, V. alginolyticus and one group in between. The frequent detection of V. parahaemolyticus in the German Bight reveals the urgency for further monitoring. In this context, a polyphasic approach, such as defined in this study, is needed to differentiate populations of V. parahaemolyticus and V. alginolyticus.     

Lessons from an evolving rRNA: 16S and 23S rRNA structures from a comparative perspective.

The 16S and 23S rRNA higher-order structures inferred from comparative analysis are now quite refined. The models presented here differ from their immediate predecessors only in minor detail. Thus, it is safe to assert that all of the standard secondary-structure elements in (prokaryotic) rRNAs have been identified, with approximately 90% of the individual base pairs in each molecule having independent comparative support, and that at least some of the tertiary interactions have been revealed. It is interesting to compare the rRNAs in this respect with tRNA, whose higher-order structure is known in detail from its crystal structure (36) (Table 2). It can be seen that rRNAs have as great a fraction of their sequence in established secondary-structure elements as does tRNA. However, the fact that the former show a much lower fraction of identified tertiary interactions and a greater fraction of unpaired nucleotides than the latter implies that many of the rRNA tertiary interactions remain to be located. (Alternatively, the ribosome might involve protein-rRNA rather than intramolecular rRNA interactions to stabilize three-dimensional structure.) Experimental studies on rRNA are consistent to a first approximation with the structures proposed here, confirming the basic assumption of comparative analysis, i.e., that bases whose compositions strictly covary are physically interacting. In the exhaustive study of Moazed et al. (45) on protection of the bases in the small-subunit rRNA against chemical modification, the vast majority of bases inferred to pair by covariation are found to be protected from chemical modification, both in isolated small-subunit rRNA and in the 30S subunit. The majority of the tertiary interactions are reflected in the chemical protection data as well (45). On the other hand, many of the bases not shown as paired in Fig. 1 are accessible to chemical attack (45). However, in this case a sizeable fraction of them are also protected against chemical modification (in the isolated rRNA), which suggests that considerable higher-order structure remains to be found (although all of it may not involve base-base interactions and so may not be detectable by comparative analysis). The agreement between the higher-order structure of the small-subunit rRNA and protection against chemical modification is not perfect, however; some bases shown to covary canonically are accessible to chemical modification (45).(ABSTRACT TRUNCATED AT 400 WORDS)     

Rapid identification of bacteria by real-time amplification and sequencing of the 16S rRNA gene

To allow rapid identification of bacteria in pure cultures and blood culture bottles, an assay was developed which is based on real-time amplification and sequencing of bacterial 16 S rRNA genes. In principle, this assay allows identification of bacteria from pure cultures within 6.5 h, and from blood cultures within approximately 7 h.     

Comparison of partial 16S rRNA gene sequences obtained from activated sludge bacteria

The cultivated and uncultivated bacterial communities of an activated sludge plant were studied. Two samples were taken and a total of 516 bacterial isolates were classified into groups using their whole-cell protein patterns. The distribution of bacteria into protein-pattern groups differed significantly between the two samples, suggesting variation in culturable bacterial flora. Partial 16S rRNA gene sequences were determined for representatives of the commonest protein-pattern groups. Most of the sequences obtained were previously unknown, but relatively closely related to known sequences of organisms belonging to the α, β or γ subclasses of the proteobacteria, the first two subclasses being predominant. This classification of bacteria isolated on a diluted nutrient-rich medium differed from recent culture-dependent studies using nutrient-rich media. The uncultivated bacterial community was studied by analyzing ten partial 16S rRNA gene sequences cloned directly from activated sludge. None of the cloned sequences was identical to those determined for culturable organisms; or to those in the GenBank database. They were, however, related to the α or β subclasses of the proteobacteria, or to the gram-positive bacteria with a high G+C DNA content. Received: 4 November 1996 / Received revision: 24 February 1997 / Accepted: 28 February 1997     

Instruction of microbiome taxonomic profiling based on 16S rRNA sequencing

Journal of Microbiology - Recent studies on microbiome highlighted their importance in various environments including human, where they are involved in multiple biological contexts such as immune...     

An examination of 'unidentified' Prevotella (formerly PINLO) using RAPD-PCR and partial 16S rRNA gene sequencing

Prevotella intermedia- and Prevotella nigrescens-like organisms (PINLO) have been described as organisms which are phenotypically and biochemically similar to P. intermedia and P. nigrescens and the species P. pallens was created to include some of them. Other PINLO groups which do not fit the definition of P. pallens exist, and in this study these 'unidentified' Prevotella sp. were compared with P. corporis, P. intermedia, P. nigrescens and P. pallens using commercial identification kits, GLC, RAPD-PCR and partial 16S rRNA gene sequencing. The Rapid ID 32 A and the RapID ANA II system both identified all 'unidentified' Prevotella as P. intermedia. Similarly they gave this identification to all the species tested (with the exception of P. corporis using the RapID ANA II system) clearly demonstrating biochemical similarities. Gas liquid chromatography (GLC) analysis of the volatile end-products of fermentation could not distinguish between strains. RAPD-PCR using arbitrary primer L10 demonstrated intra-species homogeneity within PINLO strains with amplification profiles which differed from other Prevotella species tested. Cluster analysis of the amplification profiles confirmed species divisions and yielded a distinct 'unidentified' Prevotella cluster. Comparison of partial 16S rDNA sequences displayed 98% sequence similarity between the 'unidentified' Prevotella strains, although 2 strains, HST 1156 and HST 2160 displayed 100% identity. The highest similarity between groups was seen between 'unidentified' Prevotella strains and P. corporis (approximately 94% similarity). The DNA techniques used here confirm that 'unidentified' Prevotella strains are distinct from the other species of Prevotella tested, including P. pallens. Partial 16S rDNA sequence comparisons suggested a close relationship with P. corporis.     

Identification and analysis of PCB dechlorinating anaerobic enrichments by amplification: accuracy of community structure based on restriction analysis and partial sequencing of 16S rRNA genes

The composition of polychlorinated biphenyl (PCB) dechlorinating mixed communities was analysed by restriction fragment length polymorphism of PCR amplified rDNAs (ARDRA) and partial sequencing of 16S rRNA genes amplified from PCB degrading enrichments. Restriction analysis confirms that the 16S rRNA genes amplified from PCB dechlorinating communities vary depending on the PCB congener dechlorinated. Comparison of 16S rRNA sequences to published ribosomal databases indicates that the two most abundant Operational Taxonomic Units (OTUs) appear to be species of the genus Clostridium . The amount that the amplification procedure contributed to this result was determined by varying the amplification procedure and by creating an artificial template mixture. Varying the amount of template by sixfold in the amplification did not affect the distribution of OTUs but the number of OTUs observed decreased with decreasing template concentration. Comparison of products amplified from mixtures of 16S rDNA clones indicates that the more abundant Clostridium OTU did not amplify more efficiently than those of less abundant OTUs. Hybridization to a probe designed to detect the most abundant OTUs indicates that two other OTUs are closely related to this Clostridium species.     

Identification of bacteria associated with underground parts of Crocus sativus by 16S rRNA gene targeted metagenomic approach

Saffron (Crocus sativus L), an autumn-flowering perennial sterile plant, reproduces vegetatively by underground corms. Saffron has biannual corm–root cycle that makes it an interesting candidate to study microbial dynamics in its rhizosphere and cormosphere (area under influence of corm). Culture independent 16S rRNA gene metagenomic study of rhizosphere and cormosphere of Saffron during flowering stage revealed presence of 22 genera but none of the genus was common in all the three samples. Bulk soil bacterial community was represented by 13 genera with Acidobacteria being dominant. In rhizosphere, out of eight different genera identified, Pseudomonas was the most dominant genus. Cormosphere bacteria comprised of six different genera, dominated by the genus Pantoea. This study revealed that the bacterial composition of all the three samples is significantly different (P < 0.05) from each other. This is the first report on the identification of bacteria associated with rhizosphere, cormosphere and bulk soil of Saffron, using cultivation independent 16S rRNA gene targeted metagenomic approach.