Impact of 16S rRNA Gene Sequence Analysis for Identification of Bacteria on Clinical Microbiology and Infectious Diseases
By J. Clarridge. Clinical Microbiology Reviews, 2004
1,992 citations recorded by the source corpus.
Subfields: Clinical Biochemistry, Epidemiology, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/e9666ce90e5d2301b5be60a42b1c5897b61311cc
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In Clinical Biochemistry
- Martin C. J. Maiden
- Keith A. Jolley
- D. O'sullivan
- P. McSweeney
- Paul D. Cotter
- bullet E K Radhakrishnan
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In Epidemiology
- D. O'sullivan
- P. McSweeney
- Martin C. J. Maiden
- Paul D. Cotter
- bullet E K Radhakrishnan
- Jimtha bullet
- bullet C John
- Nancy D. Connell
In Molecular Biology
- Keith A. Jolley
- C. Belzer
- W. D. de Vos
- D. van Sinderen
- Yoav Gilad
- Orna Mizrahi-Man
- D. O'sullivan
- P. McSweeney
Citations in the corpus
- Molecular Markers in Phylogenetic Studies-A Review (2014, background): “Comparing 16S sequences of unknown bacteria with already deposited sequence will assist in marking those bacteria in a particular group [22].”
- Bacterial Communities in Women with Bacterial Vaginosis: High Resolution Phylogenetic Analyses Reveal Relationships of Microbiota to Clinical Criteria (2012, methodology): “5% identity, which is similar to thresholds used for species-level taxonomic assignment described in the literature [26].”
- Plant growth promoting potential of endophytic bacteria isolated from Piper nigrum (2013, methodology): “This was followed by addition of 32.24 g piperazine-N, N0-bis 2- ethanesulfonic acid (PIPES) after bringing the pH up to 6.”
- The First Microbial Colonizers of the Human Gut: Composition, Activities, and Health Implications of the Infant Gut Microbiota (2017, background): “This methodology also facilitates identity assignment for unknown members of microbial communities through discrimination based on the sequences of their unique hypervariable regions (36).”
- Taxonomic Classification of Bacterial 16S rRNA Genes Using Short Sequencing Reads: Evaluation of Effective Study Designs (2013, background): “Third, and most importantly, the 16S rRNA gene includes both conserved regions, which can be used for designing amplification primers across taxa, as well as nine hypervariable regions (V1-V9), which can be effectively used to distinguish between taxa [9].”
- Nucleic acid-based approaches to investigate microbial-related cheese quality defects (2012, methodology): “Frontiers in Microbiology | Food Microbiology January 2013 | Volume 4 | Article 1 | 8 Ogier et al., applied a TTGE approach to investigate the microbiota of model miniature cheeses.”
- A detailed analysis of 16S ribosomal RNA gene segments for the diagnosis of pathogenic bacteria. (2007, methodology): “Another study showed that the initial 500-1500 bp of the 16S rRNA gene sequence was sufficient to discriminate among 100 bacteria (Clarridge, 2004).”
- Early-Onset Neonatal Sepsis (2014, background): “Because the 16S-23S ITS contains more variable regions and polymorphic sites than the 16S sequences, there appears to be better discrimination of distinct bacterial species, which can be achieved by amplifying and sequencing this region (145, 151), but published clinical studies in neonates are lack”
- Ribosomal Multi-Locus Sequence Typing: universal characterisation of bacteria from domain to strain (2012, background): “This approach is applicable to the other domains of life, potentially providing a rational and universal approach to the classification of life that is based on one of its fundamental features, the translation mechanism.”
- Microbial Biodiversity and Bioremediation Assessment Through Omics Approaches (2020, background): “It can be used to identify novel, unculturable, and phenotypically unidentifiable microbes (Clarridge, 2004).”