Gjorgieva Ackova, Darinka and Smilkov, Katarina and Maksimova, Viktorija (2022) RAPD-PCR Based Evaluation of Genotoxic Influence of Metal Stressors in Plant Model Systems. In: Trace metal metabolism in plants, COST Action 19116, 30 Aug-2 Sept, Ankara.
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Abstract
The presented study was designed to get the possibility to measure the outcome of long term exposition
of high concentrations of different metal stressors on DNA damage in plant model systems. We used
different plant species as models, like Taraxacum officinale L. (Asteraceae), Matricaria recutita L.
(Asteraceae), Robinia pseudoacacia L. (Fabaceae), and Urtica dioica L. (Urticaceae). Metal contents
(cadmium, lead, copper, nickel, and zinc) in the samples was determined by using ICP-AES technique.
DNA damage was investigated by a Random Amplified Polymorphic DNA (RAPD) technique, and
RAPD profiles of plants exposed to metal stress and control plants (non-exposed) were compared.
Agarose-gel electrophoresis reveal total of 37 bands with molecular weights ranging from 1250 to 5000
bp. Distinctive polymorphism of 72.97% (27 bands) total in all plant species investigated was estimated.
The dendrogram constructed using NTSYSpc programme, showed that there is grouping in separate
clusters of the same plant model collected from two different areas (metal-exposed and control samples).
The number of polymorphic bands observed in samples exposed to metals suggests that long term metal�exposition in high doses can cause mutations on genomic level in investigated model plants. These bands
are unique and distinctly differentiated the samples, and can act as markers for evaluation of the
environmental metals exposition. Encounter the fact that plants are used as food or in medical purposes,
the issue of possible genotoxicity initiated by metal contamination must be concerned.
Item Type: | Conference or Workshop Item (Poster) |
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Subjects: | Medical and Health Sciences > Other medical sciences |
Divisions: | Faculty of Medical Science |
Depositing User: | Viktorija Maksimova |
Date Deposited: | 26 Jan 2023 16:21 |
Last Modified: | 26 Jan 2023 16:21 |
URI: | https://eprints.ugd.edu.mk/id/eprint/30838 |
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