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DNA damage in Populus tremuloides clones exposed to elevated O3
Helen H Tai1, Kevin E Percy, David F Karnosky
1Agriculture and Agri-Food Canada, Potato Research Centre, Fredericton, New Brunswick, Canada. helen.tai@agr.gc.ca
Elevated ozone (O3) and carbon dioxide (CO2) increased DNA damage in trembling aspen. Ozone-tolerant clones showed more damage, suggesting cellular responses influence O3 sensitivity.
Area of Science:
- Environmental science
- Plant physiology
- Molecular biology
Background:
- Tropospheric ozone (O3) is a major air pollutant with known phytotoxic effects.
- Carbon dioxide (CO2) levels are also rising, potentially interacting with O3 effects.
- Trembling aspen (Populus tremuloides) clones exhibit varying sensitivities to environmental stressors.
Purpose of the Study:
- To investigate the impact of elevated ozone (O3) on DNA damage in trembling aspen clones.
- To assess the interactive effects of elevated O3 and carbon dioxide (CO2) on DNA integrity.
- To determine if differential DNA damage responses correlate with O3 tolerance in aspen clones.
Main Methods:
- A free-air enrichment experiment exposed five trembling aspen clones to ambient and elevated O3 and CO2 concentrations.
- DNA damage was quantified using the comet assay.
- Oxidative damage was assessed via lipid peroxidation measurements.
- Excision DNA repair capacity was evaluated.
Main Results:
- Elevated O3, alone and in combination with elevated CO2, significantly increased DNA damage.
- Ozone-tolerant clones (271 and 8L) exhibited higher DNA damage levels under elevated O3 compared to ambient conditions.
- Less tolerant and sensitive clones showed no significant difference in DNA damage between ambient and elevated O3.
- Clone 8L demonstrated the highest excision DNA repair, while clone 271 showed the most oxidative damage.
Conclusions:
- Cellular responses, including DNA damage and repair mechanisms, vary among trembling aspen clones.
- These variations in cellular responses likely contribute to the observed differences in O3 tolerance and sensitivity.
- Understanding these mechanisms is crucial for predicting forest health under future atmospheric conditions.
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