scholarly journals Reassessment of the phylogenetic relationships of Thiomonas cuprina

2007 ◽  
Vol 57 (11) ◽  
pp. 2720-2724 ◽  
Author(s):  
Donovan P. Kelly ◽  
Yoshihito Uchino ◽  
Harald Huber ◽  
Ricardo Amils ◽  
Ann P. Wood
Keyword(s):  
16S Rrna ◽  
16S Rrna Gene ◽  
Gene Sequence ◽  
16S Rrna Genes ◽  
Rrna Genes ◽  
23S Rrna ◽  
Rrna Gene ◽  
Significant Similarity ◽  
23S Rrna Gene ◽  
The 16S Rrna Gene

The published sequence of the 16S rRNA gene of Thiomonas cuprina strain Hö5 (=DSM 5495T) (GenBank accession no. U67162) was found to be erroneous. The 16S rRNA genes from the type strain held by the DSMZ since 1990 (DSM 5495T =NBRC 102145T) and strain Hö5 maintained frozen in the Universität Regensburg for 23 years (=NBRC 102094) were sequenced and found to be identical, but to show no significant similarity to the U67162 sequence. This also casts some doubt on the previously published 5S and 23S rRNA gene sequences (GenBank accession nos U67171 and X75567). The correct 16S rRNA gene sequence showed 99.8 % identity to those from Thiomonas delicata NBRC 14566T and ‘Thiomonas arsenivorans’ DSM 16361. The properties of these three species are re-evaluated, and emended descriptions are provided for the genus Thiomonas and the species Thiomonas cuprina.

scholarly journals Discordant 16S and 23S rRNA Gene Phylogenies for the Genus Helicobacter: Implications for Phylogenetic Inference and Systematics

2005 ◽  
Vol 187 (17) ◽  
pp. 6106-6118 ◽  
Author(s):  
Floyd E. Dewhirst ◽  
Zeli Shen ◽  
Michael S. Scimeca ◽  
Lauren N. Stokes ◽  
Tahani Boumenna ◽  
...  
Keyword(s):  
16S Rrna ◽  
16S Rrna Gene ◽  
Gene Sequence ◽  
Sequence Data ◽  
Rrna Genes ◽  
23S Rrna ◽  
Rrna Gene ◽  
Rrna Gene Sequence ◽  
23S Rrna Gene ◽  
23S Rrna Genes

ABSTRACT Analysis of 16S rRNA gene sequences has become the primary method for determining prokaryotic phylogeny. Phylogeny is currently the basis for prokaryotic systematics. Therefore, the validity of 16S rRNA gene-based phylogenetic analyses is of fundamental importance for prokaryotic systematics. Discrepancies between 16S rRNA gene analyses and DNA-DNA hybridization and phenotypic analyses have been noted in the genus Helicobacter. To clarify these discrepancies, we sequenced the 23S rRNA genes for 55 helicobacter strains representing 41 taxa (>2,700 bases per sequence). Phylogenetic-tree construction using neighbor-joining, parsimony, and maximum likelihood methods for 23S rRNA gene sequence data yielded stable trees which were consistent with other phenotypic and genotypic methods. The 16S rRNA gene sequence-derived trees were discordant with the 23S rRNA gene trees and other data. Discrepant 16S rRNA gene sequence data for the helicobacters are consistent with the horizontal transfer of 16S rRNA gene fragments and the creation of mosaic molecules with loss of phylogenetic information. These results suggest that taxonomic decisions must be supported by other phylogenetically informative macromolecules, such as the 23S rRNA gene, when 16S rRNA gene-derived phylogeny is discordant with other credible phenotypic and genotypic methods. This study found Wolinella succinogenes to branch with the unsheathed-flagellum cluster of helicobacters by 23S rRNA gene analyses and whole-genome comparisons. This study also found intervening sequences (IVSs) in the 23S rRNA genes of strains of 12 Helicobacter species. IVSs were found in helices 10, 25, and 45, as well as between helices 31′ and 27′. Simultaneous insertion of IVSs at three sites was found in H. mesocricetorum.

scholarly journals Differentiation of Bifidobacterium species using partial RNA polymerase β-subunit (rpoB) gene sequences

2010 ◽  
Vol 60 (12) ◽  
pp. 2697-2704 ◽  
Author(s):  
Byoung Jun Kim ◽  
Hee-Youn Kim ◽  
Yeo-Jun Yun ◽  
Bum-Joon Kim ◽  
Yoon-Hoh Kook
Keyword(s):  
16S Rrna ◽  
16S Rrna Gene ◽  
Rna Polymerase ◽  
Gene Sequence ◽  
16S Rrna Genes ◽  
Rrna Genes ◽  
Rrna Gene ◽  
Gene Sequences ◽  
The 16S Rrna Gene ◽  
Sequence Similarities

Partial RNA polymerase β-subunit gene (rpoB) sequences (315 bp) were determined and used to differentiate the type strains of 23 species of the genus Bifidobacterium. The sequences were compared with those of the partial hsp60 (604 bp) and 16S rRNA genes (1475 or 1495 bp). The rpoB gene sequences showed nucleotide sequence similarities ranging from 84.1 % to 99.0 %, while the similarities of the hsp60 sequences ranged from 78.5 % to 99.7 % and the 16S rRNA gene sequence similarities ranged from 89.4 % to 99.2 %. The phylogenetic trees constructed from the sequences of these three genes showed similar clustering patterns, with the exception of several species. The Bifidobacterium catenulatum–Bifidobacterium pseudocatenulatum, Bifidobacterium pseudolongum subsp. pseudolongum–Bifidobacterium pseudolongum subsp. globosum and Bifidobacterium gallinarum–Bifidobacterium pullorum–Bifidobacterium saeculare groups were more clearly differentiated in the partial rpoB and hsp60 gene sequence trees than they were in the 16S rRNA gene tree. Based on sequence similarities and tree topologies, the newly determined rpoB gene sequences are suitable molecular markers for the differentiation of species of the genus Bifidobacterium and support various other molecular tools used to determine the relationships among species of this genus.

scholarly journals Dissection of phylogenetic relationships among 19 rapidly growing Mycobacterium species by 16S rRNA, hsp65, sodA, recA and rpoB gene sequencing

2004 ◽  
Vol 54 (6) ◽  
pp. 2095-2105 ◽  
Author(s):  
Toïdi Adékambi ◽  
Michel Drancourt
Keyword(s):  
16S Rrna ◽  
16S Rrna Gene ◽  
Gene Sequence ◽  
16S Rrna Genes ◽  
Rrna Genes ◽  
Rrna Gene ◽  
Mycobacterium Fortuitum ◽  
Gene Sequences ◽  
Mycobacterium Chelonae ◽  
The 16S Rrna Gene

The current classification of non-pigmented and late-pigmenting rapidly growing mycobacteria (RGM) capable of producing disease in humans and animals consists primarily of three groups, the Mycobacterium fortuitum group, the Mycobacterium chelonae–abscessus group and the Mycobacterium smegmatis group. Since 1995, eight emerging species have been tentatively assigned to these groups on the basis of their phenotypic characters and 16S rRNA gene sequence, resulting in confusing taxonomy. In order to assess further taxonomic relationships among RGM, complete sequences of the 16S rRNA gene (1483–1489 bp), rpoB (3486–3495 bp) and recA (1041–1056 bp) and partial sequences of hsp65 (420 bp) and sodA (441 bp) were determined in 19 species of RGM. Phylogenetic trees based upon each gene sequence, those based on the combined dataset of the five gene sequences and one based on the combined dataset of the rpoB and recA gene sequences were then compared using the neighbour-joining, maximum-parsimony and maximum-likelihood methods after using the incongruence length difference test. Combined datasets of the five gene sequences comprising nearly 7000 bp and of the rpoB+recA gene sequences comprising nearly 4600 bp distinguished six phylogenetic groups, the M. chelonae–abscessus group, the Mycobacterium mucogenicum group, the M. fortuitum group, the Mycobacterium mageritense group, the Mycobacterium wolinskyi group and the M. smegmatis group, respectively comprising four, three, eight, one, one and two species. The two protein-encoding genes rpoB and recA improved meaningfully the bootstrap values at the nodes of the different groups. The species M. mucogenicum, M. mageritense and M. wolinskyi formed new groups separated from the M. chelonae–abscessus, M. fortuitum and M. smegmatis groups, respectively. The M. mucogenicum group was well delineated, in contrast to the M. mageritense and M. wolinskyi groups. For phylogenetic organizations derived from the hsp65 and sodA gene sequences, the bootstrap values at the nodes of a few clusters were <70 %. In contrast, phylogenetic organizations obtained from the 16S rRNA, rpoB and recA genes were globally similar to that inferred from combined datasets, indicating that the rpoB and recA genes appeared to be useful tools in addition to the 16S rRNA gene for the investigation of evolutionary relationships among RGM species. Moreover, rpoB gene sequence analysis yielded bootstrap values higher than those observed with recA and 16S rRNA genes. Also, molecular signatures in the rpoB and 16S rRNA genes of the M. mucogenicum group showed that it was a sister group of the M. chelonae–abscessus group. In this group, M. mucogenicum ATCC 49650T was clearly distinguished from M. mucogenicum ATCC 49649 with regard to analysis of the five gene sequences. This was in agreement with phenotypic and biochemical characteristics and suggested that these strains are representatives of two closely related, albeit distinct species.

Clover proliferation phytoplasma: ‘Candidatus Phytoplasma trifolii’

2004 ◽  
Vol 54 (4) ◽  
pp. 1349-1353 ◽  
Author(s):  
Chuji Hiruki ◽  
Keri Wang
Keyword(s):  
16S Rrna ◽  
16S Rrna Gene ◽  
Reference Strain ◽  
16S Rrna Genes ◽  
Rrna Genes ◽  
Rrna Gene ◽  
Beet Leafhopper ◽  
Signature Sequences ◽  
Elm Yellows ◽  
The 16S Rrna Gene

Clover proliferation phytoplasma (CPR) is designated as the reference strain for the CP phylogenetic group or subclade, on the basis of molecular analyses of genomic DNA, the 16S rRNA gene and the 16S–23S spacer region. Other strains related to CPR include alfalfa witches'-broom (AWB), brinjal little leaf (BLL), beet leafhopper-transmitted virescence (BLTV), Illinois elm yellows (ILEY), potato witches'-broom (PWB), potato yellows (PY), tomato big bud in California (TBBc) and phytoplasmas from Fragaria multicipita (FM). Phylogenetic analysis of the 16S rRNA gene sequences of BLL, CPR, FM and ILEY, together with sequences from 16 other phytoplasmas that belong to the ash yellows (AshY), jujube witches'-broom (JWB) and elm yellows (EY) groups that were available in GenBank, produced a tree on which these phytoplasmas clearly clustered as a discrete group. Three subgroups have been classified on the basis of sequence homology and the collective RFLP patterns of amplified 16S rRNA genes. AWB, BLTV, PWB and TBBc are assigned to taxonomic subgroup CP-A, FM belongs to subgroup CP-B and BLL and ILEY are assigned to subgroup CP-C. Genetic heterogeneity between different isolates of AWB, CPR and PWB has been observed from heteroduplex mobility assay analysis of amplified 16S rRNA genes and the 16S–23S spacer region. Two unique signature sequences that can be utilized to distinguish the CP group from others were present. On the basis of unique properties of the DNA from clover proliferation phytoplasma, the name ‘Candidatus Phytoplasma trifolii’ is proposed for the CP group.

Overestimation of Streptococcus mutans prevalence by nested PCR detection of the 16S rRNA gene

2006 ◽  
Vol 55 (1) ◽  
pp. 109-113 ◽  
Author(s):  
Ali Al-Ahmad ◽  
Thorsten Mathias Auschill ◽  
Gabriele Braun ◽  
Elmar Hellwig ◽  
Nicole Birgit Arweiler
Keyword(s):  
16S Rrna ◽  
16S Rrna Gene ◽  
Streptococcus Mutans ◽  
Nested Pcr ◽  
16S Rrna Genes ◽  
Rrna Genes ◽  
Rrna Gene ◽  
Direct Pcr ◽  
Specific Primers ◽  
The 16S Rrna Gene

This study was carried out in order to compare two PCR-based methods in the detection of Streptococcus mutans. The first PCR method was based on primers for the 16S rRNA gene and the second method was based on specific primers that targeted the glucosyltransferase gene (gtfB). Each PCR was performed with eight different streptococci from the viridans group, five other streptococci and 17 different non-streptococcal bacterial strains. Direct use of the S. mutans 16S rRNA gene-specific primers revealed that Streptococcus gordonii and Streptococcus infantis were also detected. After amplifying the 16S rRNA gene with universal primers and subsequently performing nested PCR, the S. mutans-specific nested primers based on the 16S rRNA gene detected all tested streptococci. There was no cross-reaction of the gtfB primers after direct PCR. Our results indicate that direct PCR and nested PCR based on 16S rRNA genes can reveal false-positive results for oral streptococci and lead to an overestimation of the prevalence of S. mutans with regards to its role as the most prevalent causative agent of dental caries.

scholarly journals Phylogenetic relationships within the family Halomonadaceae based on comparative 23S and 16S rRNA gene sequence analysis

2010 ◽  
Vol 60 (4) ◽  
pp. 737-748 ◽  
Author(s):  
Rafael R. de la Haba ◽  
David R. Arahal ◽  
M. Carmen Márquez ◽  
Antonio Ventosa
Keyword(s):  
16S Rrna ◽  
16S Rrna Genes ◽  
Rrna Genes ◽  
23S Rrna ◽  
Rrna Gene ◽  
Gene Sequences ◽  
The Family ◽  
23S Rrna Gene ◽  
Group 2 ◽  
Group 1

A phylogenetic study of the family Halomonadaceae was carried out based on complete 16S rRNA and 23S rRNA gene sequences. Several 16S rRNA genes of type strains were resequenced, and 28 new sequences of the 23S rRNA gene were obtained. Currently, the family includes nine genera (Carnimonas, Chromohalobacter, Cobetia, Halomonas, Halotalea, Kushneria, Modicisalibacter, Salinicola and Zymobacter). These genera are phylogenetically coherent except Halomonas, which is polyphyletic. This genus comprises two clearly distinguished clusters: group 1 includes Halomonas elongata (the type species) and the species Halomonas eurihalina, H. caseinilytica, H. halmophila, H. sabkhae, H. almeriensis, H. halophila, H. salina, H. organivorans, H. koreensis, H. maura and H. nitroreducens. Group 2 comprises the species Halomonas aquamarina, H. meridiana, H. axialensis, H. magadiensis, H. hydrothermalis, H. alkaliphila, H. venusta, H. boliviensis, H. neptunia, H. variabilis, H. sulfidaeris, H. subterranea, H. janggokensis, H. gomseomensis, H. arcis and H. subglaciescola. Halomonas salaria forms a cluster with Chromohalobacter salarius and the recently described genus Salinicola, and their taxonomic affiliation requires further study. More than 20 Halomonas species are phylogenetically not within the core constituted by the Halomonas sensu stricto cluster (group 1) or group 2 and, since their positions on the different phylogenetic trees are not stable, they cannot be recognized as additional groups either. In general, there is excellent agreement between the phylogenies based on the two rRNA gene sequences, but the 23S rRNA gene showed higher resolution in the differentiation of species of the family Halomonadaceae.

scholarly journals Identification of Mycobacterium kansasiiby Using a DNA Probe (AccuProbe) and Molecular Techniques

1999 ◽  
Vol 37 (4) ◽  
pp. 964-970 ◽  
Author(s):  
Elvira Richter ◽  
Stefan Niemann ◽  
Sabine Rüsch-Gerdes ◽  
Sven Hoffner
Keyword(s):  
16S Rrna ◽  
16S Rrna Gene ◽  
Restriction Pattern ◽  
Molecular Techniques ◽  
Rrna Genes ◽  
23S Rrna ◽  
Rrna Gene ◽  
Genetic Analyses ◽  
New Formulation ◽  
The 16S Rrna Gene

The newly formulated Mycobacterium kansasii AccuProbe was evaluated, and the results obtained with the new version were compared to the results obtained with the old version of this test by using 116 M. kansasii strains, 1 Mycobacterium gastri strain, and 19 strains of several mycobacterial species. The sensitivity of this new formulation was 97.4% and the specificity was 100%. Still, three M. kansasii strains were missed by this probe. To evaluate the variability within the species, genetic analyses of the hsp65 gene, the spacer sequence between the 16S and 23S rRNA genes, and the 16S rRNA gene of several M. kansasii AccuProbe-positive strains as well as all AccuProbe-negative strains were performed. Genetic analyses of the oneM. gastri strain from the comparative assay and of two further M. gastri strains were included because of the identity of the 16S rRNA gene in M. gastri to that inM. kansasii. The data confirmed the genetic heterogeneity of M. kansasii. Furthermore, a subspecies with an unpublished hsp65 restriction pattern and spacer sequence was described. The genetic data indicate that all M. kansasii strains missed by the AccuProbe test belong to one subspecies, the newly described subspecies VI, as determined by thehsp65 restriction pattern and the spacer sequence. Since the M. kansasii strains that are missed are rare and allM. gastri strains are correctly negative, the new formulated AccuProbe provides a useful tool for the identification ofM. kansasii.

scholarly journals Comparative Study of PCR-Based Approaches for the Genetic Characterization of Three Strains of Acidithiobacillus caldus Isolated from Different Sites in China

2013 ◽  
Vol 62 (4) ◽  
pp. 351-358
Author(s):  
Xueling Wu ◽  
Hong Duan ◽  
Hongwei Fan ◽  
Zhenzhen Zhang ◽  
Lili Liu
Keyword(s):  
16S Rrna ◽  
16S Rrna Genes ◽  
Rrna Genes ◽  
23S Rrna ◽  
Rrna Gene ◽  
Sequencing Analysis ◽  
Intergenic Spacers ◽  
Acidithiobacillus Caldus ◽  
Pcr Fingerprinting ◽  
23S Rrna Gene

Comparative study of the genetic characteristics among three Acidithiobacillus caldus strains isolated from different typical environments in China was performed using a combination of molecular methods, namely sequencing analysis of PCR-amplified 16S rRNA genes and 16S-23S rRNA gene intergenic spacers (ITS), repetitive element PCR (rep-PCR), arbitrarily primed PCR (AP-PCR) fingerprinting and random amplified polymorphic DNA (RAPD). Both of the 16S rRNA gene and 16S-23S rRNA gene intergenic spacers sequences of the three strains exhibited small variations, with 99.9-100%, 99.7-100% identity respectively. In contrast, according to the analysis of bacterial diversity based on rep-PCR and AP-PCR fingerprinting, they produced highly discriminatory banding patterns, and the similarity values between them varied from 61.97% to 71.64%. RAPD analysis showed that banding profiles of their genomic DNA exhibited obvious differences from each other with 53.44-75% similarity. These results suggested that in contrast to 16S rRNA genes and 16S-23S rRNA gene intergenic spacers sequencing analysis, rep-PCR, AP-PCR fingerprinting and RAPD analysis possessed higher discriminatory power in identifying these closely related strains. And they could be used as rapid and highly discriminatory typing techniques in studying bacterial diversity, especially in differentiating bacteria within Acidithiobacillus caldus.

scholarly journals Genetic diversity and phylogeny of rhizobia isolated from agroforestry legume species in southern Ethiopia

2005 ◽  
Vol 55 (4) ◽  
pp. 1439-1452 ◽  
Author(s):  
Endalkachew Wolde-meskel ◽  
Zewdu Terefework ◽  
Åsa Frostegård ◽  
Kristina Lindström
Keyword(s):  
Genetic Diversity ◽  
16S Rrna ◽  
16S Rrna Gene ◽  
Rrna Genes ◽  
Partial Sequence ◽  
23S Rrna ◽  
Southern Ethiopia ◽  
Rrna Gene ◽  
Pcr Rflp ◽  
23S Rrna Gene

The genetic diversity within 195 rhizobial strains isolated from root nodules of 18 agroforestry species (15 woody and three herbaceous legumes) growing in diverse ecoclimatic zones in southern Ethiopia was investigated by using PCR–RFLP of the ribosomal operon [16S rRNA gene, 23S rRNA gene and the internal transcribed spacer (ITS) region between the 16S rRNA and 23S rRNA genes] and 16S rRNA gene partial sequence (800 and 1350 bp) analyses. All of the isolates and the 28 reference strains could be differentiated by using these methods. The size of the ITS varied among test strains (500–1300 bp), and 58 strains contained double copies. UPGMA dendrograms generated from cluster analyses of the 16S and 23S rRNA gene PCR–RFLP data were in good agreement, and the combined distance matrices delineated 87 genotypes, indicating considerable genetic diversity among the isolates. Furthermore, partial sequence analysis of 67 representative strains revealed 46 16S rRNA gene sequence types, among which 12 were 100 % similar to those of previously described species and 34 were novel sequences with 94–99 % similarity to those of recognized species. The phylogenetic analyses suggested that strains indigenous to Ethiopia belonged to the genera Agrobacterium, Bradyrhizobium, Mesorhizobium, Methylobacterium, Rhizobium and Sinorhizobium. Many of the rhizobia isolated from previously uninvestigated indigenous woody legumes had novel 16S rRNA gene sequences and were phylogenetically diverse. This study clearly shows that the characterization of symbionts of unexplored legumes growing in previously unexplored biogeographical areas will reveal additional diversity.

Sign in / Sign up

Export Citation Format

Share Document