Current Research on Agriculture and Life Sciences
- Volume 32 Issue 1
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- Pages.43-52
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- 2014
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- 2287-271X(pISSN)
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- 2288-0356(eISSN)
DOI QR Code
Computational Identification and Comparative Genomic Analysis of Soybean Oxidative Stress-Related Genes
- Arti, Sharma (School of Applied Biosciences, Kyungpook National University) ;
- Mun, Bong-Gyu (School of Applied Biosciences, Kyungpook National University) ;
- Yun, Byung-Wook (School of Applied Biosciences, Kyungpook National University)
- Received : 2014.03.13
- Accepted : 2014.04.01
- Published : 2014.03.31
Abstract
Reactive oxygen and nitrogen species (ROS and RNS, respectively) are messengers that carry signals to alter the redox state in order to activate plant responses and other physiological processes, such as differentiation, aging, senescence, and pathogen defense. Quite a large number of genes are involved in this signaling and lead to oxidative stress in plants. Although the role of ROS/RNS during stress conditions is well documented, a comprehensive list of genes and comparative study of these genes has not yet been completed. Accordingly, the in silico identification of oxidative stress-related genes was performed for soybeans and Arabidopsis. These genes were also studied in relation to multiple domain prediction. The presence of domains like dehydogenase and ATPase suggests that these genes are involved in various metabolic processes, as well as the transportation of ions under optimal environmental conditions. In addition to a sequence analysis, a phylogenetic analysis was also performed to identify orthologous pairs among the soybean and Arabidopsis oxidative stress-related genes based on neighbor joining. This study was also conducted with the objective of further understanding the complex molecular signaling mechanism in plants under various stress conditions.