Genetic variation among Escherichia coli isolates from human and calves by using RAPD PCR

Abstract:
Background
Various strains of Escherichia coli (E. coli) are known as major causes of intestinal and extraintestinal infections in humans and various animal species. Molecular methods are important for the identification of bacterial isolates and nucleotide sequence variations, as well as information on tracking bacterial agents related to the outbreaks, the frequency of the bacterial genetic structure, and the evolution of microbial populations.
Objectives
The purpose of the present study was to evaluate the efficiency of the RAPD method to differentiate E. coli strains.
Methods
In this study, 110 isolates of E. coli were analyzed by the RAPD PCR method using two 10bp oligonucleotides. These strains were isolated from humans with urinary tract infections and neonatal calves affected by diarrhea or septicemia.
Results
Data analysis showed that 87.5% of human E. coli isolates were correctly classified in the human host group, while 94.3% of calf E. coli isolates were correctly placed in calf groups. It also demonstrated that 100% and 93.3% of isolates were accurately assigned to diarrheic and septicemic calf groups, respectively.
Conclusions
Genetic variation analysis indicated that the percentage of polymorphism among E. coli isolates from humans with urinary tract infections, diarrheic calves, and septicemic neonatal calves were 54.71%, 61.22%, and 62.5%, respectively.
Language:
Persian
Published:
Iranian Journal of Veterinary Medicine, Volume:10 Issue: 1, Winter 2016
Pages:
33 to 40
magiran.com/p1517677  
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!