Identification of Microbial Pathogens in Periodontal disease and Diabetic patients of South Indian Population.

Periodontitis have been referred to as the sixth complication of diabetes found in high prevalence among diabetic patients than among healthy controls. The aim of the present study was to examine the periodontal disease status among collected dental plaque samples. Chromosomal DNA was isolated and amplified by universal primers. The DNA was sequenced for bacterial confirmation and phylogenetic analysis performed for the evolutionary relationship with other known pathogens. No amplification products were observed in groups labeled non periodontal and non Diabetes (NP&ND) and non Periodontal and Diabetes (NP&D). But in the case of Periodontal and non Diabetes (P&ND) groups 22 amplified products were observed. In case of Periodontal and Diabetes (P&D), 32 amplified products were positive for microbes. Among the four microbial groups, Treponemadenticola, and Tannerella forsythia were found to be prevalent in P&D. The phylogenetic analysis of 16s rRNA of Treponemadenticola showed the relationship with other Treponema oral pathogen species and with the Spirochaetazuelaera. Tannerella forsythia shows its evolutionary relationship only with four oral pathogens (Macellibacteroidesfermentans, Porphyromadaceae bacterium, Parabacteroidesmeredae and Bacillus fosythus). Prevotellaintermedia also showed its evolutionary relationship only with Prevotella Spcs while Fusobacterium revealed close evolutionary relationship only with Porpiromonasgingivalis.

Comparison and correlation of Simple Sequence Repeats distribution in genomes of Brucella species.

UNLABELLED: 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. ABBREVIATIONS: SSRs - Simple Sequence Repeats, ORFs - Open Reading Frames.