Exploration of Specific DNA-Barcodes in Shigella dysenteriae Using In-silico Analysis

Article Type:
Research/Original Article (دارای رتبه معتبر)
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.
Language:
English
Published:
Avicenna Journal of Clinical Microbiology and Infection, Volume:4 Issue: 4, Nov 2017
Page:
3
magiran.com/p1784510  
دانلود و مطالعه متن این مقاله با یکی از روشهای زیر امکان پذیر است:
اشتراک شخصی
با عضویت و پرداخت آنلاین حق اشتراک یک‌ساله به مبلغ 1,390,000ريال می‌توانید 70 عنوان مطلب دانلود کنید!
اشتراک سازمانی
به کتابخانه دانشگاه یا محل کار خود پیشنهاد کنید تا اشتراک سازمانی این پایگاه را برای دسترسی نامحدود همه کاربران به متن مطالب تهیه نمایند!
توجه!
  • حق عضویت دریافتی صرف حمایت از نشریات عضو و نگهداری، تکمیل و توسعه مگیران می‌شود.
  • پرداخت حق اشتراک و دانلود مقالات اجازه بازنشر آن در سایر رسانه‌های چاپی و دیجیتال را به کاربر نمی‌دهد.
In order to view content subscription is required

Personal subscription
Subscribe magiran.com for 70 € euros via PayPal and download 70 articles during a year.
Organization subscription
Please contact us to subscribe your university or library for unlimited access!