Genetic diversity of Mahisefid (Rutilus frisii kutum Kamensky 1901) in different rivers of the south Caspian Sea using PCR-RFLP

نویسندگان

  • Daud Siti Khalijah
  • Siraj Siti Shapor
  • A. Javanmard
  • M. Pourkazemi
  • S. Rezvani Gilkolahi
چکیده مقاله:

  Mahisefid is the most popular fish in Iran with the highest economic value. The analysis of mitochondrial DNA has been extensively used as a marker for population genetic studies and is a powerful tool in studies of gene flow and evolutionary biology. Two hundred ninety four samples were collected from Sefid Rud River (100), Lamir River (98), Shir Rud River (48) and Tajan River (48) during spawning season. Out of 24 enzymes tested, four enzymes, namely TasI, HaeIII, HinfI and HincII were selected for this study. In the present study, the haplotype and nucleotide diversity of Mahisefid in four important rivers where fingerlings are produced, were carried out by using PCR-RFLP at mtDNA ND5/6 region. A total of 20 haplotypes were studied so that AAAA and BAAA haplotypes had the most frequency. The average haplotype frequency of AAAA and BAAA haplotypes were 29.93% and 27.55%, respectively. The maximum nucleotide diversity was 0.94%, the minimum was 0.80% and the average was 0.88%. Divergence between Lamir and Sefid Rud River and Shir Rud was 0.2% and between Lamir and Tajan, and Shir Rud River it was 0.1%. The average evolutionary distance was 0.015. The maximum evolutionary distance was 0.294 between ADAA and AAAB, ABAB and BDBA, BBAA and AABB. The average number of bases surveyed was 121.2 and the average number of fragments was 30.30. The study suggests that there was a low genetic variability in four populations of Mahisefid in the south of Caspian Sea. Mahisefid population can be divided into two main clusters, the first clade consists of Shir Rud River and Lamir River populations and the second clade consists of Tajan River and Sefid Rud River populations. The clustering of Mahisefid populations was not in accordance with their geographical areas or river systems.

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عنوان ژورنال

دوره 11  شماره 2

صفحات  235- 251

تاریخ انتشار 2012-04-01

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