Title of article :
Exploration of Specific DNA-Barcodes in Shigella dysenteriae Using In-silico Analysis
Author/Authors :
kamali, mehdi Nanobiotechnology Research Center - Baqiyatallah University of Medical Sciences , bakhshi, behnam Young Researchers and Elite Club - Science and Research Branch - Islamic Azad University , salimi, ali Nanobiotechnology Research Center - Baqiyatallah University of Medical Sciences , mohseni fard, ehsan Department of Agronomy and Plant Breeding - Faculty of Agriculture - University of Zanjan , darvishi, mohammad hasan Nanobiotechnology Research Center - Baqiyatallah University of Medical Sciences , ehghaghi, elahe Department of Virology - Tarbiat Modares University
Pages :
9
From page :
1
To page :
9
Abstract :
Background: Shigella dysenteriae are Gram-negative and non-sporulating bacteria that cause illness in epithelial tissue of the colon and rectum. According to a preliminary analysis, rare or no reports could introduce highly reliable and specific genes, primers, and probes for S. dysenteriae recognition. Thus, it is necessary to detect specific genome parts in S. dysenteriae that could be used in diagnostic laboratories to recognize S. dysenteriae species confidently. Methods: Identification of specific S. dysenteriae genome regions as DNA-barcodes was the main objective of the current study to accrue detection of this species. To this end, S. dysenteriae genome was compared with other Enterobacteriaceae genomes. Results: Results indicated that there is little genetic distance between S. dysenteriae and E. coli, and most of the genes are common between these 2 species. The lowest genome fluidity was observed between S. dysenteriae and Escherichia coli, and Salmonella enterica. Furthermore, the largest number of orthologous genes was observed between S. dysenteriae and E. coli (O157_H7). All previous markers and virulent genes were also evaluated in the current study. However, no specific DNA barcodes were identified among already identified genes. Additionally, all regions of S. dysenteriae genome were investigated in the current study using specific region identifier programs by comparison with other Enterobacteriaceae strains. Conclusions: Finally, eight specific DNA-barcodes were identified in the current study that could be beneficial for specific recognition of S. dysenteriae strains.
Keywords :
Shigella , E. coli , Enterobacteriaceae , Specific Barcodes , Comparative Genomics
Journal title :
Astroparticle Physics
Serial Year :
2017
Record number :
2477251
Link To Document :
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