Identification and comparative analysis of H2O2-scavenging enzymes (ascorbate peroxidase and glutathione peroxidase) in selected plants employing bioinformatics approaches
Among major reactive oxygen species (ROS), hydrogen peroxide (H2O2) exhibits dual roles in plant metabolism. Low levels of H2O2 modulate many biological/physiological processes in plants; whereas, its high level can cause damage to cell structures, having severe consequences. Thus, steady-state leve...
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my.upm.eprints.433932016-05-19T01:52:38Z http://psasir.upm.edu.my/id/eprint/43393/ Identification and comparative analysis of H2O2-scavenging enzymes (ascorbate peroxidase and glutathione peroxidase) in selected plants employing bioinformatics approaches Ozyigit, Ibrahim I. Filiz, Ertugrul Vatansever, Recep Kurtoglu, Kuaybe Y. Koc, Ibrahim Ozturk, Munir X. Anjum, Naser A. Among major reactive oxygen species (ROS), hydrogen peroxide (H2O2) exhibits dual roles in plant metabolism. Low levels of H2O2 modulate many biological/physiological processes in plants; whereas, its high level can cause damage to cell structures, having severe consequences. Thus, steady-state level of cellular H2O2 must be tightly regulated. Glutathione peroxidases (GPX) and ascorbate peroxidase (APX) are two major ROS-scavenging enzymes which catalyze the reduction of H2O2 in order to prevent potential H2O2-derived cellular damage. Employing bioinformatics approaches, this study presents a comparative evaluation of both GPX and APX in 18 different plant species, and provides valuable insights into the nature and complex regulation of these enzymes. Herein, (a) potential GPX and APX genes/proteins from 18 different plant species were identified, (b) their exon/intron organization were analyzed, (c) detailed information about their physicochemical properties were provided, (d) conserved motif signatures of GPX and APX were identified, (e) their phylogenetic trees and 3D models were constructed, (f) protein-protein interaction networks were generated, and finally (g) GPX and APX gene expression profiles were analyzed. Study outcomes enlightened GPX and APX as major H2O2-scavenging enzymes at their structural and functional levels, which could be used in future studies in the current direction. Frontiers Media 2016-03 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/43393/1/43393.pdf Ozyigit, Ibrahim I. and Filiz, Ertugrul and Vatansever, Recep and Kurtoglu, Kuaybe Y. and Koc, Ibrahim and Ozturk, Munir X. and Anjum, Naser A. (2016) Identification and comparative analysis of H2O2-scavenging enzymes (ascorbate peroxidase and glutathione peroxidase) in selected plants employing bioinformatics approaches. Frontiers in Plant Science, 7. art. no. 301. pp. 1-23. ISSN 1664-462X 10.3389/fpls.2016.00301 |
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Among major reactive oxygen species (ROS), hydrogen peroxide (H2O2) exhibits dual roles in plant metabolism. Low levels of H2O2 modulate many biological/physiological processes in plants; whereas, its high level can cause damage to cell structures, having severe consequences. Thus, steady-state level of cellular H2O2 must be tightly regulated. Glutathione peroxidases (GPX) and ascorbate peroxidase (APX) are two major ROS-scavenging enzymes which catalyze the reduction of H2O2 in order to prevent potential H2O2-derived cellular damage. Employing bioinformatics approaches, this study presents a comparative evaluation of both GPX and APX in 18 different plant species, and provides valuable insights into the nature and complex regulation of these enzymes. Herein, (a) potential GPX and APX genes/proteins from 18 different plant species were identified, (b) their exon/intron organization were analyzed, (c) detailed information about their physicochemical properties were provided, (d) conserved motif signatures of GPX and APX were identified, (e) their phylogenetic trees and 3D models were constructed, (f) protein-protein interaction networks were generated, and finally (g) GPX and APX gene expression profiles were analyzed. Study outcomes enlightened GPX and APX as major H2O2-scavenging enzymes at their structural and functional levels, which could be used in future studies in the current direction. |
format |
Article |
author |
Ozyigit, Ibrahim I. Filiz, Ertugrul Vatansever, Recep Kurtoglu, Kuaybe Y. Koc, Ibrahim Ozturk, Munir X. Anjum, Naser A. |
spellingShingle |
Ozyigit, Ibrahim I. Filiz, Ertugrul Vatansever, Recep Kurtoglu, Kuaybe Y. Koc, Ibrahim Ozturk, Munir X. Anjum, Naser A. Identification and comparative analysis of H2O2-scavenging enzymes (ascorbate peroxidase and glutathione peroxidase) in selected plants employing bioinformatics approaches |
author_facet |
Ozyigit, Ibrahim I. Filiz, Ertugrul Vatansever, Recep Kurtoglu, Kuaybe Y. Koc, Ibrahim Ozturk, Munir X. Anjum, Naser A. |
author_sort |
Ozyigit, Ibrahim I. |
title |
Identification and comparative analysis of H2O2-scavenging enzymes (ascorbate peroxidase and glutathione peroxidase) in selected plants employing bioinformatics approaches |
title_short |
Identification and comparative analysis of H2O2-scavenging enzymes (ascorbate peroxidase and glutathione peroxidase) in selected plants employing bioinformatics approaches |
title_full |
Identification and comparative analysis of H2O2-scavenging enzymes (ascorbate peroxidase and glutathione peroxidase) in selected plants employing bioinformatics approaches |
title_fullStr |
Identification and comparative analysis of H2O2-scavenging enzymes (ascorbate peroxidase and glutathione peroxidase) in selected plants employing bioinformatics approaches |
title_full_unstemmed |
Identification and comparative analysis of H2O2-scavenging enzymes (ascorbate peroxidase and glutathione peroxidase) in selected plants employing bioinformatics approaches |
title_sort |
identification and comparative analysis of h2o2-scavenging enzymes (ascorbate peroxidase and glutathione peroxidase) in selected plants employing bioinformatics approaches |
publisher |
Frontiers Media |
publishDate |
2016 |
url |
http://psasir.upm.edu.my/id/eprint/43393/1/43393.pdf http://psasir.upm.edu.my/id/eprint/43393/ |
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1643833553261166592 |
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