Toggle Main Menu Toggle Search

Open Access padlockePrints

Diversity and geographical distribution of members of the Streptomyces violaceusniger 16S rRNA gene clade detected by clade-specific PCR primers

Lookup NU author(s): Porntipa Aiemsum-ang, Emeritus Professor Alan Ward, Professor Michael Goodfellow


Full text for this publication is not currently held within this repository. Alternative links are provided below where available.


The Streptomyces violaceusniger 16S rRNA gene clade contains organisms that are of ecological interest and a rich source of novel bioactive metabolites. Improvements in the classification of members of the S. violaceusniger clade made it possible to design, evaluate and use an oligonucleotide primer set to gain an insight into the presence, distribution and taxonomic diversity of members of this taxon in environmental samples. In silico testing showed that the primers had a perfect match with representatives of the S. violaceusniger clade. The primers, designated S-S-Svio-66-a-S-20 and S-S-Svio-1274-a-A-20, amplified an ≈1190-bp stretch of 16S rRNA gene from authenticated members of the S. violaceusniger clade, but not from representatives of other actinomycete taxa. Following amplification of DNA extracted from sediment and soil samples, the sequences of cloned PCR products confirmed the specific amplification of target sequences in 87% of the clones; the use of 16S rRNA gene fragment similarity correlations indicated that the clones represented new species. The primers can be used to facilitate the isolation of novel members of the S. violaceusniger 16S rRNA gene clade by allowing prescreening of environmental samples and the subsequent detection and retrieval of targetted strains through the use of selective isolation procedures. © 2007 Federation of European Microbiological Societies.

Publication metadata

Author(s): Kumar Y, Aiemsum-Ang P, Ward AC, Goodfellow M

Publication type: Article

Publication status: Published

Journal: FEMS Microbiology Ecology

Year: 2007

Volume: 62

Issue: 1

Pages: 54-63

ISSN (print): 0168-6496

ISSN (electronic): 1574-6941

Publisher: Wiley-Blackwell Publishing Ltd.


DOI: 10.1111/j.1574-6941.2007.00374.x

PubMed id: 17725621


Altmetrics provided by Altmetric