Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Clinical use of 16S rRNA gene sequencing to identify Mycoplasma felis and M. gateae associated with feline ulcerative keratitis.

ABSTRACT: Routine bacterial cultures of corneal scrapings from seven cats with either ulcerative feline keratitis, keratomalacia, or both yielded colonies which were identified by 16S rRNA gene sequencing as Mycoplasma felis (six cases) and Mycoplasma gateae (one case). Identification of the pathogens allowed the use of less empirical and more organism-specific therapy.

SUBMITTER: Gray LD

PROVIDER: S-EPMC1169116 | biostudies-literature | 2005 Jul

REPOSITORIES: biostudies-literature

ACCESS DATA

Json Xml

Publications

Clinical use of 16S rRNA gene sequencing to identify Mycoplasma felis and M. gateae associated with feline ulcerative keratitis.

Gray Larry D LD Ketring Kerry L KL Tang Yi-Wei YW

Journal of clinical microbiology 20050701 7

Routine bacterial cultures of corneal scrapings from seven cats with either ulcerative feline keratitis, keratomalacia, or both yielded colonies which were identified by 16S rRNA gene sequencing as Mycoplasma felis (six cases) and Mycoplasma gateae (one case). Identification of the pathogens allowed the use of less empirical and more organism-specific therapy. ...[more]

PMID: 16000470

Similar Datasets

Sequence diversity of Neisseria meningitidis 16S rRNA genes and use of 16S rRNA gene sequencing as a molecular subtyping tool.

Project description:We investigated the diversity of the primary sequences of 16S rRNA genes among Neisseria meningitidis strains (Men) and evaluated the use of this approach as a molecular subtyping tool. We aligned and compared a 1,417-bp fragment of the 16S rRNA gene from 264 Men strains of serogroups A, B, C, and Y (MenA, MenB, MenC, and MenY, respectively) isolated throughout the world over a 30-year period. Thirty-one positions of difference were found among 49 16S types: differences between types ranged from 1 to 14 positions (0.07 to 0.95%). 16S types and serogroups were highly associated; only 3 out 49 16S types were shared by two or more serogroups. We have identified 16S types that are exclusively associated with strains of certain hypervirulent clones: 16S type 5 with MenA subgroup III, 16S type 4 with the MenB electrophoretic type 5 (ET-5) complex, and 16S types 12 and 13 with MenC of the ET-37 complex. For MenC strains, 16S sequencing provided the highest sensitivity and specificity and the best overall association with the outbreak-related versus sporadic isolates when compared with pulsed-field gel electrophoresis, multilocus enzyme electrophoresis, and multilocus sequence typing. We demonstrated for the first time an unexpected diversity among 16S rRNA genes of Men strains, identified 16S types associated with well-defined hypervirulent clones, and showed the potential of this approach to rapidly identify virulent strains associated with outbreaks and/or an increased incidence of sporadic disease.

| S-EPMC154644 | biostudies-literature

Leveraging 16S rRNA Microbiome Sequencing Data to Identify Bacterial Signatures for Irritable Bowel Syndrome.

Project description:Irritable bowel syndrome (IBS) is a chronic gastrointestinal disorder characterized by abdominal pain or discomfort. Previous studies have illustrated that the gut microbiota might play a critical role in IBS, but the conclusions of these studies, based on various methods, were almost impossible to compare, and reproducible microorganism signatures were still in question. To cope with this problem, previously published 16S rRNA gene sequencing data from 439 fecal samples, including 253 IBS samples and 186 control samples, were collected and processed with a uniform bioinformatic pipeline. Although we found no significant differences in community structures between IBS and healthy controls at the amplicon sequence variants (ASV) level, machine learning (ML) approaches enabled us to discriminate IBS from healthy controls at genus level. Linear discriminant analysis effect size (LEfSe) analysis was subsequently used to seek out 97 biomarkers across all studies. Then, we quantified the standardized mean difference (SMDs) for all significant genera identified by LEfSe and ML approaches. Pooled results showed that the SMDs of nine genera had statistical significance, in which the abundance of Lachnoclostridium, Dorea, Erysipelatoclostridium, Prevotella 9, and Clostridium sensu stricto 1 in IBS were higher, while the dominant abundance genera of healthy controls were Ruminococcaceae UCG-005, Holdemanella, Coprococcus 2, and Eubacterium coprostanoligenes group. In summary, based on six published studies, this study identified nine new microbiome biomarkers of IBS, which might be a basis for understanding the key gut microbes associated with IBS, and could be used as potential targets for microbiome-based diagnostics and therapeutics.

| S-EPMC8231010 | biostudies-literature

Use of 16S rRNA gene sequencing for rapid confirmatory identification of Brucella isolates.

Project description:Members of the genus Brucella are categorized as biothreat agents and pose a hazard for both humans and animals. Current identification methods rely on biochemical tests that may require up to 7 days for results. We sequenced the 16S rRNA genes of 65 Brucella strains along with 17 related strains likely to present a differential diagnostic challenge. All Brucella 16S rRNA gene sequences were determined to be identical and were clearly different from the 17 related strains, suggesting that 16S rRNA gene sequencing is a reliable tool for rapid genus-level identification of Brucella spp. and their differentiation from closely related organisms.

| S-EPMC497563 | biostudies-literature

Characterization of bacterial community shift in human Ulcerative Colitis patients revealed by Illumina based 16S rRNA gene amplicon sequencing.

Project description:BackgroundThe healthy human intestine is represented by the presence of bacterial communities predominantly belonging to obligate anaerobes; however disparity and dysanaerobiosis in intestinal microflora may lead to the progression of ulcerative colitis (UC). The foremost aim of this study is to consider and compare the gut microbiota composition in patients suffering from different stages of UC.MethodsThis study represents data from the biopsy samples of six individuals suffering from UC. The samples were collected by colonoscopy and were processed immediately for isolation of DNA. Mucosal microbiota was analyzed by means of 16S rRNA gene-based Illumina high throughput sequencing. Quantitative real-time PCR (qPCR) was performed to determine total bacterial abundances.ResultsAnalysis of 23,927 OTUs demonstrated a significant reduction of bacterial diversity consistently from phylum to species level (p < 0.05) for individuals suffering from severe stage of UC. Significant increase in abundance of unusual aerobes and facultative anaerobes, including members from the phylum Proteobacteria (p- = 0.031) was also observed. A 10 fold increase in the total bacterial count was detected in patients suffering from severe inflammatory stage (2.98 +/-0.49 E + 09/ml) when compared with patients with moderate (1.03+/-0.29 E + 08/ml) and mild (1.76 +/-0.34 E + 08/ml) stages of inflammation.ConclusionThe reduction of bacterial diversity with an increase in the total bacterial count indicates a shift of bacterial communities which signifies dysbiosis and dysanaerobiosis at the mucosal level for patients suffering from UC.

| S-EPMC4094692 | biostudies-literature

Physical map and genome sequencing survey of Mycoplasma haemofelis (Haemobartonella felis).

Project description:Mycoplasma haemofelis is an uncultivable red-cell pathogen of cats. Isolated M. haemofelis DNA was used to create a bacterial artificial chromosome library and physical map. Random sequencing of this material revealed 75 genes that had not been previously reported for M. haemofelis or any other hemotrophic mycoplasma.

| S-EPMC155732 | biostudies-literature

Detection of Mycoplasma genitalium by PCR amplification of the 16S rRNA gene.

Project description:In order to develop a species-specific PCR for the detection of Mycoplasma genitalium, the sequence of 1,490 bases of the 16S rRNA gene was determined for M. genitalium G37 (type strain) and four Danish isolates of M. genitalium. The sequences of the four Danish strains, mutually different with respect to their MgPa gene, were 100% homologous, although they carried a single common base substitution compared to the type strain. Among members of the Mycoplasma pneumoniae phylogenetic cluster, M. genitalium showed the most-prominent homology to the 16S rRNA sequence of M. pneumoniae (98% homology). From regions showing the least homology to the M. pneumoniae 16S rRNA gene sequence, primers were chosen to amplify DNA from M. genitalium only. Two sets of primers were selected for their ability to detect <10 to 50 M. genitalium genome copies without cross-reactions with M. pneumoniae. The performance of these primers was compared to the performance of two pairs of primers amplifying parts of the MgPa adhesin gene; 1,030 randomly selected specimens submitted for Chlamydia trachomatis culture were screened with one of the 16S rRNA gene primer sets. A total of 41 specimens were found to be positive for this gene; 40 of these could be confirmed by one of the MgPa primer sets, whereas the other MgPa primer set detected only 21 positive specimens out of 40. These results indicate that estimates of the prevalence of M. genitalium in various populations using MgPa PCR primers could be incorrectly low if the PCR primers are located in variable regions of the MgPa gene.

| S-EPMC149599 | biostudies-literature

Application of 16S rRNA gene sequencing to identify Bordetella hinzii as the causative agent of fatal septicemia.

Project description:We report on the first case of fatal septicemia caused by Bordetella hinzii. The causative organism exhibited a biochemical profile identical to that of Bordetella avium with three commercial identification systems (API 20E, API 20 NE, and Vitek GNI+ card). However, its cellular fatty acid profile was not typical for either B. avium or previously reported strains of B. hinzii. Presumptive identification of the patient's isolate was accomplished by traditional biochemical testing, and definitive identification was achieved by 16S rRNA gene sequence analysis. Phenotypic features useful in distinguishing B. hinzii from B. avium were production of alkali from malonate and resistance to several antimicrobial agents.

| S-EPMC86205 | biostudies-literature

Determination of the etiology of presumptive feline leprosy by 16S rRNA gene analysis.

Project description:PCR-amplified 16S rRNA gene sequences were obtained directly from tissue specimens from eight cats with presumptive feline leprosy. Acid-fast bacilli were observed in sections from all eight specimens, but culture for mycobacteria was successful for one specimen only. Analysis of the V2 variable region of each 16S rRNA PCR product identified a sequence with 100% nucleotide identity to the sequences of Mycobacterium lepraemurium, Mycobacterium avium, and Mycobacterium paratuberculosis in four of the specimens from cats with feline leprosy. Separate M. paratuberculosis- and M. avium-specific PCR amplifications of the four specimens were negative, thus substantiating the identification of M. lepraemurium in these specimens from cats with feline leprosy. Further sequence analysis of the V3 variable region of one of the four specimens provided conclusive evidence of the presence of M. lepraemurium. This is the first report of the definitive identification of M. lepraemurium in cats with feline leprosy by molecular biology-based analyses. M. avium, which is rarely reported in cats, and Mycobacterium chitae, a reported nonpathogenic, rapidly growing mycobacterial species found in the environment, were identified in the specimen from which acid-fast bacilli were cultured. Two of the specimens from cats were infected with a potentially novel species of mycobacteria which had a 16S rRNA gene sequence sharing the closest nucleotide sequence identity with that of Mycobacterium malmoense. Molecular biology-based analyses provided for the accurate and rapid diagnosis of mycobacterial infections in cats and circumvented the problems of culture and misdiagnosis of feline leprosy associated with traditional methods.

| S-EPMC229993 | biostudies-other

16S rRNA gene mutations associated with decreased susceptibility to tetracycline in Mycoplasma bovis.

Project description:Mycoplasma bovis isolates with decreased susceptibilities to tetracyclines are increasingly reported worldwide. The acquired molecular mechanisms associated with this phenomenon were investigated in 70 clinical isolates of M. bovis. Sequence analysis of the two 16S rRNA-encoding genes (rrs3 and rrs4 alleles) containing the primary binding pocket for tetracycline (Tet-1 site) was performed on isolates with tetracycline hydrochloride MICs of 0.125 to 16 μg/ml. Mutations at positions A965T, A967T/C (Escherichia coli numbering) of helix 31, U1199C of helix 34, and G1058A/C were identified. Decreased susceptibilities to tetracycline (MICs, ≥2 μg/ml) were associated with mutations present at two (A965 and A967) or three positions (A965, A967, and G1058) of the two rrs alleles. No tet(M), tet(O), or tet(L) determinants were found in the genome of any of the 70 M. bovis isolates. The data presented correlate (P<0.0001) the mutations identified in the Tet-1 site of clinical isolates of M. bovis with decreased susceptibility to tetracycline.

| S-EPMC4335885 | biostudies-literature

Use of 16S rRNA sequencing for identification of Actinobacillus ureae isolated from a cerebrospinal fluid sample.

Project description:Actinobacillus ureae, previously Pasteurella ureae, has on rare occasions been described as a cause of human infection. Owing to its rarity, it may not be easily identified in clinical microbiology laboratories by standard tests. This report describes a patient with acute bacterial meningitis due to A. ureae. The identity of the isolate was determined by means of DNA sequence analysis of a portion of the 16S rRNA gene.

| S-EPMC153383 | biostudies-literature

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data