ArticleAnnals of clinical microbiology and antimicrobials2011
Exploring internal features of 16S rRNA gene for identification of clinically relevant species of the genus Streptococcus.
Article in Annals of clinical microbiology and antimicrobials, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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Who cites it
27 citing papers in PubMed.
- Characterization and antibiogram of bacterial isolates from diseased farmed Nile tilapia in Beheira governorate, Egypt.BMC veterinary research · 2026Article
- Evaluating the efficiency of 16S-ITS-23S operon sequencing for species level resolution in microbial communities.Scientific reports · 2025Article
- Article
- GROND: a quality-checked and publicly available database of full-length 16S-ITS-23S rRNA operon sequences.Microbial genomics · 2024Article
- Genome analysis of Streptococcus spp. isolates from animals in pre-antibiotic era with respect to antibiotic susceptibility and virulence gene profiles.Veterinary research · 2024Article
- Blood Culture Negative Endocarditis: A Review of Laboratory Diagnostic Approaches.International journal of general medicine · 2023Review
- Biochemical and molecular identification of Gram-positive isolates with β-hemolysis activity isolated from the nasal swab of pigs during the human meningitis outbreak in Badung Regency, Bali-Indonesia.Veterinary world · 2022Article
- Concatenated 16S rRNA sequence analysis improves bacterial taxonomy.F1000Research · 2022Article
- Transcriptional Activity of PredominantFrontiers in cellular and infection microbiology · 2021Article
- Identification of Clinically RelevantPathogens (Basel, Switzerland) · 2020Article
- Immune status, and not HIV infection or exposure, drives the development of the oral microbiota.Scientific reports · 2020Article
- Singularities of Pyogenic Streptococcal Biofilms - From Formation to Health Implication.Frontiers in microbiology · 2020Review
- Pathogenicity Factors in Group C and G Streptococci.Microbiology spectrum · 2019Review
- Genetics and Pathogenicity Factors of Group C and G Streptococci.Microbiology spectrum · 2019Review
- Development of a reference data set for assigningAntimicrobial resistance and infection control · 2019Article
- A Comparison of Three Different Bioinformatics Analyses of the 16S-23S rRNA Encoding Region for Bacterial Identification.Frontiers in microbiology · 2019Article
- Species-level bacterial community profiling of the healthy sinonasal microbiome using Pacific Biosciences sequencing of full-length 16S rRNA genes.Microbiome · 2018Article
- First Detection and Characterization ofJournal of clinical and diagnostic research : JCDR · 2017Article
- Deep sequencing of the 16S ribosomal RNA of the neonatal oral microbiome: a comparison of breast-fed and formula-fed infants.Scientific reports · 2016Article
- An In Silico Approach for Identification of the Pathogenic Species, Helicobacter pylori and Its Relatives.Indian journal of microbiology · 2016Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundStreptococcus is an economically important genus as a number of species belonging to this genus are human and animal pathogens. The genus has been divided into different groups based on 16S rRNA gene sequence similarity. The variability observed among the members of these groups is low and it is difficult to distinguish them. The present study was taken up to explore 16S rRNA gene sequence to develop methods that can be used for preliminary identification and can supplement the existing methods for identification of clinically-relevant isolates of the genus Streptococcus.
methods16S rRNA gene sequences belonging to the isolates of S. dysgalactiae, S. equi, S. pyogenes, S. agalactiae, S. bovis, S. gallolyticus, S. mutans, S. sobrinus, S. mitis, S. pneumoniae, S. thermophilus and S. anginosus were analyzed with the purpose to define genetic variability within each species to generate a phylogenetic framework, to identify species-specific signatures and in-silico restriction enzyme analysis.
resultsThe framework based analysis was used to segregate Streptococcus spp. previously identified upto genus level. This segregation was validated using species-specific signatures and in-silico restriction enzyme analysis. 43 uncharacterized Streptococcus spp. could be identified using this approach.
conclusionsThe markers generated exploring 16S rRNA gene sequences provided useful tool that can be further used for identification of different species of the genus Streptococcus.
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