BACK TO CONTENTS   |    PDF   |    NEXT

Title

 

 

 

 

 

Phylogenetics of an antibiotic producing Streptomyces strain isolated from soil

 

Authors

 

Vineeta Singh1, Vandana Praveen1, Feroz Khan2, Chandra Kant Mani Tripathi1*

 

Affiliation

 

1Division of Fermentation Technology, Central Drug Research Institute, Chattar Manzil Palace, PO Box 173, Lucknow - 226 001, India; 2Bioinformatics & In Silico Biology division, Central Institute of Medicinal and Aromatic Plants (CSIR), Lucknow-226015, India

 

Email

 

ckmtcdri@yahoo.com

 

Article Type

 

Hypothesis

 

Date

 

Received March 25, 2009; Revised June 02, 2009; Accepted June 13, 2009; Published September 05, 2009

 

Abstract

Traditional methods of species classification and identification of the organism are based on morphological, physiological, biochemical, developmental and nutritional characteristics. Accurate assignment of taxonomic status to the new biologically active microbial isolates through existing bioinformatics methods is now very essential and also helpful in chemical characterization of the active molecule produced by microorganisms. The bacterial strain M4 (ckm7) was isolated from the pre-treated soil sample collected from the agricultural field of Eastern Uttar Pradesh (U.P.), India and was found to be producing antibacterial and antifungal antibiotics. Taxonomic identification of the isolate belongs to the genus Streptomyces which was done with the help of sequence analysis and later confirmed by biological activity. Sequence comparison study of ckm7 showed 98% identical similarity with 16S rRNA gene sequences of Streptomyces spinichromogenes, Streptomyces triostinicus and Streptomyces capoamus. On the basis of both biological activity and phylogenetic analysis of ckm7, it was concluded that the isolated strain is a new variant of S. triostinicus.

 

Keywords

 

Phylogenetics; 16S rRNA gene; ckm7; Streptomyces; biological activity study; antibacterial, antifungal antibiotics.

Citation

 

Singh et al., Bioinformation 4(2): 53-58 (2009)

Edited by

 

P. Kangueane

 

ISSN

 

0973-2063

 

Publisher

 

Biomedical Informatics

 

License

 

 

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.