Literature DB >> 24562682

Comprehensive genetic discrimination of Leonurus cardiaca populations by AFLP, ISSR, RAPD and IRAP molecular markers.

Abdollah Khadivi-Khub1, Aboozar Soorni.   

Abstract

Leonurus cardiaca is well known for its medicinal importance. In this investigation, genotypic characterization of this species from six eco-geographical regions of Iran was evaluated by four molecular techniques (AFLP, RAPD, ISSR and IRAP). A total of 899 polymorphic fragments were detected by used molecular markers (AFLP = 356, RAPD = 325, ISSR = 113 and IRAP = 105) with an overall average polymorphism of 81.24%. Genetic variation calculated using Shannon's Information index (I) and Nei's gene diversity index (H) showed high genetic diversity in studied germplasm. Also, analysis of molecular variance showed high genetic variation among (55%) and within populations (45%). UPGMA dendrogram constructed from combined data of molecular markers distinguished studied populations in accordance with the results obtained by each marker which all individuals were clearly differentiated into two major clusters. The correlation coefficients were statistically significant for all marker systems with the highest correlation between similarity matrixes of RAPD and ISSR markers (r = 0.82). The present results have an important implication for L. cardiaca germplasm characterization, improvement, and conservation. Furthermore, the characterized individuals exhibited a great deal of molecular variation and they seem to have a rich gene pool for breeding programs.

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Year:  2014        PMID: 24562682     DOI: 10.1007/s11033-014-3269-4

Source DB:  PubMed          Journal:  Mol Biol Rep        ISSN: 0301-4851            Impact factor:   2.316


  19 in total

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Authors:  J G Williams; A R Kubelik; K J Livak; J A Rafalski; S V Tingey
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5.  AFLP: a new technique for DNA fingerprinting.

Authors:  P Vos; R Hogers; M Bleeker; M Reijans; T van de Lee; M Hornes; A Frijters; J Pot; J Peleman; M Kuiper
Journal:  Nucleic Acids Res       Date:  1995-11-11       Impact factor: 16.971

6.  The detection of disease clustering and a generalized regression approach.

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  1 in total

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Authors:  Yan Long; Jingliang Cheng; Zhiqiang Mei; Ling Zhao; Chunli Wei; Shelly Fu; Md Asaduzzaman Khan; Junjiang Fu
Journal:  Mol Biol Rep       Date:  2014-09-24       Impact factor: 2.316

  1 in total

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