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• W2622691012 startingPage "19" @default.
• W2622691012 abstract "Depending on species, heavy metals, including copper (Cu), differentially affect algal growth and metabolism. Here, we aim to evaluate the differential responses of two green microalgae, Chlorella sorokiniana and Scenedesmus acuminatus, exposed to sub-lethal doses of Cu (25 and 50 µM, respectively) for 7 days. The changes in growth, oxidative damage markers, and antioxidants were analysed. We found that S. acuminatus could acclimatise during long-term exposure to Cu stress. S. acuminatus accumulated lower Cu content and showed a slight decrease in H2O2 levels when compared to C. sorokiniana. Cu stress induced membrane damage in the two microalgae species, however, this increase was slightly lower in S. acuminatus. To mitigate Cu stress impact, C. sorkiniana markedly increased proline, polyphenols, flavonoids, tocopherols, glutathione levels, as well as the activities of GST, APX, GR and SOD enzymes, which could explain less-stress sensitivity. On the other hand, S. acuminatus exhibited significant increases in proline, polyphenol, and tocopherol contents. Activity levels of POX, APX, GR and SOD enzymes, were also increased. These results suggest that the two microalgae differentially induced the antioxidant defence system to neutralise the oxidative damage induced by Cu stress. This study also provided new data for Cu tolerance and Cu removal abilities of two microalgal species, which commonly exist in surface water bodies, where low Cu uptake and efficient antioxidant defence system protected S. acuminatus against oxidative stress induced by Cu stress. This makes it feasible for treatment of Cu contaminated waters." @default.
• W2622691012 created "2017-06-15" @default.
• W2622691012 creator A5007312912 @default.
• W2622691012 creator A5027785173 @default.
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• W2622691012 date "2017-10-01" @default.
• W2622691012 modified "2023-10-09" @default.
• W2622691012 title "Sensitivity of two green microalgae to copper stress: Growth, oxidative and antioxidants analyses" @default.
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• W2622691012 doi "https://doi.org/10.1016/j.ecoenv.2017.05.048" @default.
• W2622691012 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/28599127" @default.
• W2622691012 hasPublicationYear "2017" @default.
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