Literature DB >> 26143753

Population structure and genotypic variation of Crataegus pontica inferred by molecular markers.

Mohammad-Shafie Rahmani1, Naghi Shabanian2, Abdollah Khadivi-Khub3, Keith E Woeste4, Hedieh Badakhshan5, Leila Alikhani6.   

Abstract

Information about the natural patterns of genetic variability and their evolutionary bases are of fundamental practical importance for sustainable forest management and conservation. In the present study, the genetic diversity of 164 individuals from fourteen natural populations of Crataegus pontica K.Koch was assessed for the first time using three genome-based molecular techniques; inter-retrotransposon amplified polymorphism (IRAP); inter-simple sequence repeats (ISSR) and start codon targeted (SCoT) polymorphism. IRAP, ISSR and SCoT analyses yielded 126, 254 and 199 scorable amplified bands, respectively, of which 90.48, 93.37 and 83.78% were polymorphic. ISSR revealed efficiency over IRAP and SCoT due to high effective multiplex ratio, marker index and resolving power. The dendrograms based on the markers used and combined data divided individuals into three major clusters. The correlation between the coefficient matrices for the IRAP, ISSR and SCoT data was significant. A higher level of genetic variation was observed within populations than among populations based on the markers used. The lower divergence levels depicted among the studied populations could be seen as evidence of gene flow. The promotion of gene exchange will be very beneficial to conserve and utilize the enormous genetic variability.
Copyright © 2015 Elsevier B.V. All rights reserved.

Keywords:  Crataegus; Forest genetics; Genetic diversity; Germplasm conservation; Molecular polymorphism; Population variability

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Year:  2015        PMID: 26143753     DOI: 10.1016/j.gene.2015.07.001

Source DB:  PubMed          Journal:  Gene        ISSN: 0378-1119            Impact factor:   3.688


  1 in total

1.  Characterization of hawthorn (Crataegus spp.) genotypes by SSR markers.

Authors:  Murat Güney; Salih Kafkas; Hakan Keles; Servet Aras; Sezai Ercişli
Journal:  Physiol Mol Biol Plants       Date:  2018-09-28
  1 in total

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