Stress response of NAD+-dependent formate dehydrogenase in Gossypium hirsutum L. grown under copper toxicity.
Günseli Kurt-GürHasan DemirciAkın SunuluEmel OrduPublished in: Environmental science and pollution research international (2018)
Cotton (Gossypium hirsutum L.), which is not directly involved in the food chain, appears to be a suitable candidate to remove heavy metals from the food chain and to be a commercial plant which could be planted in contaminated soils. The key point of this approach is selection of the right genotype, which has heavy metal resistance or hyperaccumulation properties. Therefore, in the present study, two G. hirsutum genotypes, Erşan-92 and N-84S, were grown under copper stress and investigated to obtain further insights about the heavy metal tolerance mechanisms of plants by focusing on the expression of NAD+-dependent formate dehydrogenase (FDH). In accordance with the results, which were obtained from RT-PCR analysis and activity measurements, in the Erşan-92 root tissue, FDH activity increased significantly with increasing metal concentrations and a 6.35-fold higher FDH activity was observed in the presence of 100-μM Cu. As opposed to Erşan-92, the maximum FDH activity in the roots of N-84S, which were untreated with copper as the control plants, was measured as 0.0141-U mg-1 g-1 FW, and the activity decreased significantly with the increasing metal concentrations. The metallothionein (GhMT3a) transcript level of the plants grown in a medium containing different Cu concentrations showed nearly the same pattern as that of the FDH gene transcription. It was observed that while the tolerance of N-84S in the lower Cu concentration reduces remarkably, Erşan-92 continues to struggle up to 100-μM Cu. The results of the SOD analysis also confirm this activity of Erşan-92 against the Cu stress.
Keyphrases
- heavy metals
- risk assessment
- health risk assessment
- estrogen receptor
- endoplasmic reticulum
- genome wide identification
- health risk
- oxidative stress
- poor prognosis
- dna methylation
- breast cancer cells
- drinking water
- sewage sludge
- oxide nanoparticles
- single cell
- climate change
- heat stress
- cell wall
- genome wide
- data analysis