Volume 11, Issue 40 (summer 2007)                   jwss 2007, 11(40): 331-338 | Back to browse issues page

XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

A.R. Khanahmadi, Gh. Rahimi, A. Nejati-Javaremi, S. Esmaeilkhanian. Use of Random Amplified Polymorphic DNA(RAPD) Markers to Detect GeneticVariation of Native Fowls in Mazandaran Native Fowls Breeding Station . jwss 2007; 11 (40) :331-338
URL: http://jstnar.iut.ac.ir/article-1-708-en.html
Abstract:   (23406 Views)
In order to detect genetic variation of native fowls in Mazandaran native Fowls breeding station, blood samples were collected from 100 male and female of birds (1:11). The DNA of the blood samples was extracted according to an optimized salting out protocol. The extracted DNA was amplified through polymerase chain reaction (PCR). Of the twenty random primers (10 mer) were used in this study, fourteen yielded satisfactory PCR. The total 63 polymorphic and 77 monomorphic bands were detected for the 14 primers. The number of bands displayed for each primer ranged from 4 to 16 with 200-2100 base pairs. The highest and lowest percentages of polymorphism band were observed for primer 9 (72%) and primer 14 (16%) respectively. The band sharing frequency was calculated for each primer, which ranged from 79 to 96. The genetic similarity within population and genetic variation were estimated as 89 and 11 percentage respectively. In conclusion, the existence of high level of polymorphism after ten generation of selection may indicate the accuracy of genetic evaluation program, suitable selection strategies and also large enough effective population size in this breeding flock.
Full-Text [PDF 229 kb]   (2729 Downloads)    
Type of Study: Research | Subject: Ggeneral
Received: 2008/01/9 | Published: 2007/07/15

Add your comments about this article : Your username or Email:
CAPTCHA

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | JWSS - Isfahan University of Technology

Designed & Developed by : Yektaweb