Title

Authors

Affiliation

Division of Animal Biotechnology, Department of Zoology, S. V. University, Tirupati-517502, Andhra Pradesh, India

Email

matchabhaskar2010@gmail.com; *Corresponding author

Article Type

Hypothesis

Date

Received May 03, 2011; Accepted May 07, 2011; Published May 26, 2011

Computational genomics is one of the important tools to understand the distribution of closely related genomes including simple sequence repeats (SSRs) in an organism, which gives valuable information regarding genetic variations. The central objective of the present study was to screen the SSRs distributed in coding and non-coding regions among different human Brucella species which are involved in a range of pathological disorders. Computational analysis of the SSRs in the Brucella indicates few deviations from expected random models. Statistical analysis also reveals that tri-nucleotide SSRs are overrepresented and tetranucleotide SSRs underrepresented in Brucella genomes. From the data, it can be suggested that over expressed tri-nucleotide SSRs in genomic and coding regions might be responsible in the generation of functional variation of proteins expressed which in turn may lead to different pathogenicity, virulence determinants, stress response genes, transcription regulators and host adaptation proteins of Brucella genomes.

Keywords

simple sequence repeats, overrepresented, underrepresented, Brucella genomes.

Citation

Kiran et al. Bioinformation 6(5): 179-182 (2011)  

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.