Characterization of differentially expressed genes to Cu stress in Brassica nigra by Arabidopsis genome arrays View Full Text


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Article Info

DATE

2018-11-05

AUTHORS

Birsen Cevher-Keskin, Yasemin Yıldızhan, Bayram Yüksel, Eda Dalyan, Abdul Razaque Memon

ABSTRACT

Phytoremediation is an efficient and promising cleanup technology to extract or inactivate heavy metals and several organic and inorganic pollutants from soil and water. In this study, different Brassica nigra L. ecotypes, including Diyarbakır, collected from mining areas were exposed to different concentrations of copper and harvested after 72 h of Cu stress for the assessment of phytoremediation capacity. The Diyarbakır ecotype was called as “metallophyte” because of surviving at 500 μM Cu. To better understand Cu stress mechanism, ArabidopsisATH1 genome array was used to compare the gene expression in root and shoot tissues of B. nigra under 25 μM Cu. The response to Cu was much stronger in roots (88 genes showing increased or decreased mRNA levels) than in leaf tissues (24 responding genes). These genes were classified into the metal transport and accumulation-related genes, signal transduction and metabolism-related genes, and transport facilitation genes. Glutathione pathway-related genes (γ-ECS, PC, etc.) mRNAs were identified as differentially expressed in root and shoot tissues. QRT-PCR validation experiments showed that γ-ECS and PC expression was upregulated in the shoot and leaf tissues of the 100 μM Cu-subjected B. nigra-tolerant ecotype. This is the first study showing global expression profiles in response to Cu stress in B. nigra by Arabidopsis genome array. This work presented herein provides a well-illustrated insight into the global gene expression to Cu stress response in plants, and identified genes from microarray data will serve as molecular tools for the phytoremediation applications in the future. More... »

PAGES

299-311

References to SciGraph publications

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  • 2003-03. Identification of a copper transporter family in Arabidopsis thaliana in PLANT MOLECULAR BIOLOGY
  • 2006-11-04. Expression of Arabidopsis phytochelatin synthase in Indian mustard (Brassica juncea) plants enhances tolerance for Cd and Zn in PLANTA
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  • 2003-03. Response of Wild Type of Arabidopsis thaliana to Copper Stress in BIOLOGIA PLANTARUM
  • 1999-03. Cloning sulfur assimilation genes of Brassica juncea L.: cadmium differentially affects the expression of a putative low-affinity sulfate transporter and isoforms of ATP sulfurylase and APS reductase in PLANT MOLECULAR BIOLOGY
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    34 schema:description Phytoremediation is an efficient and promising cleanup technology to extract or inactivate heavy metals and several organic and inorganic pollutants from soil and water. In this study, different Brassica nigra L. ecotypes, including Diyarbakır, collected from mining areas were exposed to different concentrations of copper and harvested after 72 h of Cu stress for the assessment of phytoremediation capacity. The Diyarbakır ecotype was called as “metallophyte” because of surviving at 500 μM Cu. To better understand Cu stress mechanism, ArabidopsisATH1 genome array was used to compare the gene expression in root and shoot tissues of B. nigra under 25 μM Cu. The response to Cu was much stronger in roots (88 genes showing increased or decreased mRNA levels) than in leaf tissues (24 responding genes). These genes were classified into the metal transport and accumulation-related genes, signal transduction and metabolism-related genes, and transport facilitation genes. Glutathione pathway-related genes (γ-ECS, PC, etc.) mRNAs were identified as differentially expressed in root and shoot tissues. QRT-PCR validation experiments showed that γ-ECS and PC expression was upregulated in the shoot and leaf tissues of the 100 μM Cu-subjected B. nigra-tolerant ecotype. This is the first study showing global expression profiles in response to Cu stress in B. nigra by Arabidopsis genome array. This work presented herein provides a well-illustrated insight into the global gene expression to Cu stress response in plants, and identified genes from microarray data will serve as molecular tools for the phytoremediation applications in the future.
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