Article: In silico analysis of 16S rRNA gene sequencing based methods for identification of medically important aerobic Gram-negative bacteria

File Download Links for fulltext
(May Require Subscription)
Supplementary
  • Basic View
  • Metadata View
  • XML View
TitleIn silico analysis of 16S rRNA gene sequencing based methods for identification of medically important aerobic Gram-negative bacteria
AuthorsTeng, JLL1
Yeung, MY1
Yue, G1
AuYeung, RKH1
Yeung, EYH1
Fung, AMY1
Tse, H1
Yuen, KY1
Lau, SKP1
Woo, PCY1
Issue Date2011
PublisherSociety for General Microbiology. The Journal's web site is located at http://jmm.sgmjournals.org
CitationJournal Of Medical Microbiology, 2011, v. 60 n. 9, p. 1281-1286 [How to Cite?]
DOI: http://dx.doi.org/10.1099/jmm.0.027805-0
AbstractThis study provides guidelines on the usefulness of full and 527 bp 16S rRNA gene sequencing and Microseq databases for identifying medically important aerobic Gram-negative bacteria. Overall, full and 527 bp 16S rRNA gene sequencing can identify 26.1% and 32.6%, respectively, of medically important aerobic Gram-negative bacteria confidently to the species level, whereas the full-MicroSeq and 500-MicroSeq databases can identify 15.2% and 26.1%, respectively, of medically important aerobic Gram-negative bacteria confidently to the species level. Among the major groups of aerobic Gram-negative bacteria, the methods and databases are least useful for identification of Aeromonas, Bordetella and Bartonella species. None of the Aeromonas species can be confidently or doubtfully identified, whereas only 0% and 0-33.3% of Bordetella species and 0-10% and 0-10% of Bartonella species can be confidently and doubtfully identified, respectively. On the other hand, these methods and databases are most useful for identification of members of the families Pasteurellaceae and Legionellaceae and Campylobacter species: 29.6-59.3% and 7.4-18.5% of members of Pasteurellaceae, 36-52% and 12-24% of members of Legionellaceae, and 26.7-60% and 0-13.3% of Campylobacter species can be confidently and doubtfully identified, respectively. Thirty-nine medically important aerobic Gram-negative bacteria that should be confidently identified by full 16S rRNA gene sequencing are not included in the full-MicroSeq database. Twenty-three medically important aerobic Gram-negative bacteria that should be confidently identified by 527 bp 16S rRNA gene sequencing are not included in the 500-MicroSeq database. Compared with results of our previous studies on anaerobic and Gram-positive bacteria, full and 527 bp 16S rRNA gene sequencing are able to confidently identify significantly more anaerobic Gram-positive and Gramnegative bacteria than aerobic Gram-positive and Gram-negative bacteria. © 2011 SGM.
ISSN0022-2615
2011 Impact Factor: 2.502
2011 SCImago Journal Rankings: 0.222
DOIhttp://dx.doi.org/10.1099/jmm.0.027805-0
ISI Accession Number IDWOS:000295018700008
Funding AgencyGrant Number
HKSAR Research Fund for the Control of Infectious Diseases of the Health, Welfare and Food Bureau
University of Hong Kong
Committee of Research and Conference Grants
Funding Information:

This work is partly supported by the HKSAR Research Fund for the Control of Infectious Diseases of the Health, Welfare and Food Bureau, Committee of Research and Conference Grants and University Development Fund, The University of Hong Kong.

ReferencesReferences in Scopus
DC Field
Value
dc.contributor.authorTeng, JLL
dc.contributor.authorYeung, MY
dc.contributor.authorYue, G
dc.contributor.authorAuYeung, RKH
dc.contributor.authorYeung, EYH
dc.contributor.authorFung, AMY
dc.contributor.authorTse, H
dc.contributor.authorYuen, KY
dc.contributor.authorLau, SKP
dc.contributor.authorWoo, PCY
dc.date.accessioned2011-09-23T05:51:02Z
dc.date.available2011-09-23T05:51:02Z
dc.date.issued2011
dc.description.abstractThis study provides guidelines on the usefulness of full and 527 bp 16S rRNA gene sequencing and Microseq databases for identifying medically important aerobic Gram-negative bacteria. Overall, full and 527 bp 16S rRNA gene sequencing can identify 26.1% and 32.6%, respectively, of medically important aerobic Gram-negative bacteria confidently to the species level, whereas the full-MicroSeq and 500-MicroSeq databases can identify 15.2% and 26.1%, respectively, of medically important aerobic Gram-negative bacteria confidently to the species level. Among the major groups of aerobic Gram-negative bacteria, the methods and databases are least useful for identification of Aeromonas, Bordetella and Bartonella species. None of the Aeromonas species can be confidently or doubtfully identified, whereas only 0% and 0-33.3% of Bordetella species and 0-10% and 0-10% of Bartonella species can be confidently and doubtfully identified, respectively. On the other hand, these methods and databases are most useful for identification of members of the families Pasteurellaceae and Legionellaceae and Campylobacter species: 29.6-59.3% and 7.4-18.5% of members of Pasteurellaceae, 36-52% and 12-24% of members of Legionellaceae, and 26.7-60% and 0-13.3% of Campylobacter species can be confidently and doubtfully identified, respectively. Thirty-nine medically important aerobic Gram-negative bacteria that should be confidently identified by full 16S rRNA gene sequencing are not included in the full-MicroSeq database. Twenty-three medically important aerobic Gram-negative bacteria that should be confidently identified by 527 bp 16S rRNA gene sequencing are not included in the 500-MicroSeq database. Compared with results of our previous studies on anaerobic and Gram-positive bacteria, full and 527 bp 16S rRNA gene sequencing are able to confidently identify significantly more anaerobic Gram-positive and Gramnegative bacteria than aerobic Gram-positive and Gram-negative bacteria. © 2011 SGM.
dc.description.natureLink_to_subscribed_fulltext
dc.identifier.citationJournal Of Medical Microbiology, 2011, v. 60 n. 9, p. 1281-1286 [How to Cite?]
DOI: http://dx.doi.org/10.1099/jmm.0.027805-0
dc.identifier.doihttp://dx.doi.org/10.1099/jmm.0.027805-0
dc.identifier.epage1286
dc.identifier.hkuros195238
dc.identifier.isiWOS:000295018700008
Funding AgencyGrant Number
HKSAR Research Fund for the Control of Infectious Diseases of the Health, Welfare and Food Bureau
University of Hong Kong
Committee of Research and Conference Grants
Funding Information:

This work is partly supported by the HKSAR Research Fund for the Control of Infectious Diseases of the Health, Welfare and Food Bureau, Committee of Research and Conference Grants and University Development Fund, The University of Hong Kong.

dc.identifier.issn0022-2615
2011 Impact Factor: 2.502
2011 SCImago Journal Rankings: 0.222
dc.identifier.issue9
dc.identifier.openurl
dc.identifier.pmid21498652
dc.identifier.scopuseid_2-s2.0-80051768006
dc.identifier.spage1281
dc.identifier.urihttp://hdl.handle.net/10722/139519
dc.identifier.volume60
dc.languageeng
dc.publisherSociety for General Microbiology. The Journal's web site is located at http://jmm.sgmjournals.org
dc.publisher.placeUnited Kingdom
dc.relation.ispartofJournal of Medical Microbiology
dc.relation.referencesReferences in Scopus
dc.rightsJournal of Medical Microbiology. Copyright © Society for General Microbiology.
dc.subject.meshBacteria, Aerobic - classification - genetics - isolation and purification
dc.subject.meshBacteriological Techniques - methods
dc.subject.meshComputational Biology - methods
dc.subject.meshGram-Negative Bacteria - classification - genetics - isolation and purification
dc.subject.meshGram-Negative Bacterial Infections - diagnosis - microbiology
dc.titleIn silico analysis of 16S rRNA gene sequencing based methods for identification of medically important aerobic Gram-negative bacteria
dc.typeArticle
Author Affiliations
  1. The University of Hong Kong