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PMID: 14607398 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't Review

Review and re-analysis of domain-specific 16S primers.

Journal of microbiological methods ·Vol. 55 ·No. 3 ·2003-12-00 ·Pages 541-55

Baker GC, Smith JJ, Cowan DA

Abstract

The Polymerase Chain Reaction (PCR) has facilitated the detection of unculturable microorganisms in virtually any environmental source and has thus been used extensively in the assessment of environmental microbial diversity. This technique relies on the assumption that the gene sequences present in the environment are complementary to the "universal" primers used in their amplification. The recent discovery of new taxa with 16S rDNA sequences not complementary to standard universal primers suggests that current 16S rDNA libraries are not representative of true prokaryotic biodiversity. Here we re-assess the specificity of commonly used 16S rRNA gene primers and present these data in tabular form designed as a tool to aid simple analysis, selection and implementation. In addition, we present two new primer pairs specifically designed for effective "universal" Archaeal 16S rDNA sequence amplification. These primers are found to amplify sequences from Crenarchaeote and Euryarchaeote type strains and environmental DNA.

MeSH Terms
Archaea/classification,genetics Bacteria/classification,genetics Base Sequence DNA Primers/chemistry,genetics DNA, Archaeal/chemistry,genetics DNA, Bacterial/chemistry,genetics Molecular Sequence Data Polymerase Chain Reaction/methods RNA, Ribosomal, 16S/chemistry,genetics
Chemicals
DNA Primers DNA, Archaeal DNA, Bacterial RNA, Ribosomal, 16S
Authors & Affiliations
3 authors, click to expand affiliations / ORCID
Baker G C
Department of Biotechnology, University of the Western Cape, Bellville 7335, Cape Town, South Africa.
Smith J J
Cowan D A
Article Info
Journal
Journal of microbiological methods
Abbr.
J Microbiol Methods
ISSN
0167-7012
Published
2003-12-00
Pages
541-55
Language
English
Region
Netherlands
NLM ID
8306883
Subset
IM
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