Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/14992
Title: Assessment of the genotoxicity of heavy metals in Phaseolus vulgaris L. as a model plant system by Random Amplified Polymorphic DNA (RAPD) analysis
Authors: Gjorgieva, Darinka
Kadifkova-Panovska, Tatjana
Mitrev, Saša
Kovacevik, Biljana
Kostadinovska, Emilija
Bačeva, Katerina
Stafilov, Trajče
Issue Date: 2012
Journal: Journal of environmental science and health. Part A, Toxic/hazardous substances & environmental engineering
Abstract: Impact assessments of environmental pollutants are important in eco-genotoxicology. A random amplified polymorphic DNA (RAPD) technique was used to detect genotoxicity-induced DNA damage in Phaseolus vulgaris L. from heavy metals at two different concentrations. The results from six 10-base pair (bp) random RAPD primers with 60-70% GC content used, showed a total of 295 RAPD fragments of 700-4000 bp in molecular size in the seedlings of untreated and treated samples, of which only 163 fragments were polymorphic. Polymorphisms became evident as the disappearance and/or appearance of DNA fragments in treated samples compared to the control. A dendrogram constructed using the Numerical Taxonomy and Multivariate Analysis System (NTSYSps), showed that the control group merged with groups treated with CuSO(4)·5H(2)O (150 mg L(-1)) and MnSO(4)·H(2)O (150 mg L(-1)) in a separate cluster. These groups were linked with all of the other samples treated with metals at concentrations of 150 mg L(-1) and CuSO(4)·5H(2)O and Cd(NO(3))(2) at concentrations of 350 mg L(-1). Finally, the samples treated with metals at concentrations of 350 mg L(-1) together with NiSO(4) at the concentration of 150 mg L(-1), clustered separately. The DNA polymorphism detected by RAPD analysis offered a useful biomarker assay for the detection of toxic chemicals genotoxicity in plant model systems.
URI: http://hdl.handle.net/20.500.12188/14992
DOI: 10.1080/10934529.2012.645784
Appears in Collections:Faculty of Natural Sciences and Mathematics: Journal Articles

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