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- Publisher Website: 10.1136/jcp.2006.038653
- Scopus: eid_2-s2.0-34249903335
- PMID: 17046845
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Article: In silico analysis of 16S ribosomal RNA gene sequencing-based methods for identification of medically important anaerobic bacteria
Title | In silico analysis of 16S ribosomal RNA gene sequencing-based methods for identification of medically important anaerobic bacteria |
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Authors | |
Issue Date | 2007 |
Publisher | B M J Publishing Group. The Journal's web site is located at http://jcp.bmjjournals.com/ |
Citation | Journal Of Clinical Pathology, 2007, v. 60 n. 5, p. 576-579 How to Cite? |
Abstract | This study is the first study that provides useful guidelines to clinical microbiologists and technicians on the usefulness of full 16S rRNA sequencing, 5′-end 527-bp 16S rRNA sequencing and the existing MicroSeq full and 500 16S rDNA bacterial identification system (MicroSeq, Perkin-Elmer Applied Biosystems Division, Foster City, California, USA) databases for the identification of all existing medically important anaerobic bacteria. Full and 527-bp 16S rRNA sequencing are able to identify 52-63% of 130 Gram-positive anaerobic rods, 72-73% of 86 Gram-negative anaerobic rods and 78% of 23 anaerobic cocci. The existing MicroSeq databases are able to identify only 19-25% of 130 Gram-positive anaerobic rods, 38% of 86 Gram-negative anaerobic rods and 39% of 23 anaerobic cocci. These represent only 45-46% of those that should be confidently identified by full and 527-bp 16S rRNA sequencing. To improve the usefulness of MicroSeq, bacterial species that should be confidently identified by full and/or 527-bp 16S rRNA sequencing but not included in the existing MicroSeq databases should be included. |
Persistent Identifier | http://hdl.handle.net/10722/57298 |
ISSN | 2023 Impact Factor: 2.5 2023 SCImago Journal Rankings: 0.934 |
PubMed Central ID | |
ISI Accession Number ID | |
References |
DC Field | Value | Language |
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dc.contributor.author | Woo, PCY | en_HK |
dc.contributor.author | Chung, LMW | en_HK |
dc.contributor.author | Teng, JLL | en_HK |
dc.contributor.author | Tse, H | en_HK |
dc.contributor.author | Pang, SSY | en_HK |
dc.contributor.author | Lau, VYT | en_HK |
dc.contributor.author | Wong, VWK | en_HK |
dc.contributor.author | Kam, KL | en_HK |
dc.contributor.author | Lau, SKP | en_HK |
dc.contributor.author | Yuen, KY | en_HK |
dc.date.accessioned | 2010-04-12T01:32:21Z | - |
dc.date.available | 2010-04-12T01:32:21Z | - |
dc.date.issued | 2007 | en_HK |
dc.identifier.citation | Journal Of Clinical Pathology, 2007, v. 60 n. 5, p. 576-579 | en_HK |
dc.identifier.issn | 0021-9746 | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/57298 | - |
dc.description.abstract | This study is the first study that provides useful guidelines to clinical microbiologists and technicians on the usefulness of full 16S rRNA sequencing, 5′-end 527-bp 16S rRNA sequencing and the existing MicroSeq full and 500 16S rDNA bacterial identification system (MicroSeq, Perkin-Elmer Applied Biosystems Division, Foster City, California, USA) databases for the identification of all existing medically important anaerobic bacteria. Full and 527-bp 16S rRNA sequencing are able to identify 52-63% of 130 Gram-positive anaerobic rods, 72-73% of 86 Gram-negative anaerobic rods and 78% of 23 anaerobic cocci. The existing MicroSeq databases are able to identify only 19-25% of 130 Gram-positive anaerobic rods, 38% of 86 Gram-negative anaerobic rods and 39% of 23 anaerobic cocci. These represent only 45-46% of those that should be confidently identified by full and 527-bp 16S rRNA sequencing. To improve the usefulness of MicroSeq, bacterial species that should be confidently identified by full and/or 527-bp 16S rRNA sequencing but not included in the existing MicroSeq databases should be included. | en_HK |
dc.language | eng | en_HK |
dc.publisher | B M J Publishing Group. The Journal's web site is located at http://jcp.bmjjournals.com/ | en_HK |
dc.relation.ispartof | Journal of Clinical Pathology | en_HK |
dc.rights | Journal of Clinical Pathology. Copyright © B M J Publishing Group. | en_HK |
dc.subject.mesh | Bacteria, Anaerobic - classification - genetics | en_HK |
dc.subject.mesh | Bacterial Typing Techniques - methods | en_HK |
dc.subject.mesh | RNA, Bacterial - genetics | en_HK |
dc.subject.mesh | RNA, Ribosomal, 16S - genetics | en_HK |
dc.subject.mesh | Sequence Analysis, RNA - methods | en_HK |
dc.title | In silico analysis of 16S ribosomal RNA gene sequencing-based methods for identification of medically important anaerobic bacteria | en_HK |
dc.type | Article | en_HK |
dc.identifier.openurl | http://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0021-9746&volume=60&issue=5&spage=576&epage=579&date=2007&atitle=In+silico+analysis+of+16S+ribosomal+RNA+gene+sequencing-based+methods+for+identification+of+medically+important+anaerobic+bacteria | en_HK |
dc.identifier.email | Woo, PCY:pcywoo@hkucc.hku.hk | en_HK |
dc.identifier.email | Teng, JLL:llteng@hku.hk | en_HK |
dc.identifier.email | Tse, H:herman@graduate.hku.hk | en_HK |
dc.identifier.email | Lau, SKP:skplau@hkucc.hku.hk | en_HK |
dc.identifier.email | Yuen, KY:kyyuen@hkucc.hku.hk | en_HK |
dc.identifier.authority | Woo, PCY=rp00430 | en_HK |
dc.identifier.authority | Teng, JLL=rp00277 | en_HK |
dc.identifier.authority | Tse, H=rp00519 | en_HK |
dc.identifier.authority | Lau, SKP=rp00486 | en_HK |
dc.identifier.authority | Yuen, KY=rp00366 | en_HK |
dc.description.nature | published_or_final_version | en_HK |
dc.identifier.doi | 10.1136/jcp.2006.038653 | en_HK |
dc.identifier.pmid | 17046845 | - |
dc.identifier.pmcid | PMC1994535 | - |
dc.identifier.scopus | eid_2-s2.0-34249903335 | en_HK |
dc.identifier.hkuros | 132683 | - |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-34249903335&selection=ref&src=s&origin=recordpage | en_HK |
dc.identifier.volume | 60 | en_HK |
dc.identifier.issue | 5 | en_HK |
dc.identifier.spage | 576 | en_HK |
dc.identifier.epage | 579 | en_HK |
dc.identifier.isi | WOS:000246594100027 | - |
dc.publisher.place | United Kingdom | en_HK |
dc.identifier.scopusauthorid | Woo, PCY=7201801340 | en_HK |
dc.identifier.scopusauthorid | Chung, LMW=15847898900 | en_HK |
dc.identifier.scopusauthorid | Teng, JLL=7202560229 | en_HK |
dc.identifier.scopusauthorid | Tse, H=7006070596 | en_HK |
dc.identifier.scopusauthorid | Pang, SSY=16426170100 | en_HK |
dc.identifier.scopusauthorid | Lau, VYT=16426066500 | en_HK |
dc.identifier.scopusauthorid | Wong, VWK=36894794400 | en_HK |
dc.identifier.scopusauthorid | Kam, KL=16426096200 | en_HK |
dc.identifier.scopusauthorid | Lau, SKP=7401596211 | en_HK |
dc.identifier.scopusauthorid | Yuen, KY=36078079100 | en_HK |
dc.identifier.issnl | 0021-9746 | - |