Volume 14, Issue 42 (8-2022)
jcb 2022, 14(42): 127-137 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Payghamzadeh K, Toorchi M, Sadat Shobbar Z. (2022). Investigation of Soybean Pod Distortion Anomaly by Proteomics and Bioinformatics Approaches. jcb. 14(42), 127-137. doi:10.52547/jcb.14.42.127
URL: http://jcb.sanru.ac.ir/article-1-1289-en.html
URL: http://jcb.sanru.ac.ir/article-1-1289-en.html
Agricultural Research, Education and Extension Organization
Abstract: (1436 Views)
Extended Abstract
Introduction and Objective: Pod distortion anomaly (PDA) is a particular type of growth along with flower and pod abnormality in that soybean plants remain green long after pod maturation which caused significantly yield reduction. To identification of proteins that involved in soybean pod distortion anomaly incidence, the proteins expression profiles of PDA and non-PDA soybean cultivars viz. Katul and Gorgan 3 were compared via proteomics and bioinformatics approaches.
Material and Methods: Therefore, leaf samples of two cultivars were collected at flowering growth stage and subjected to protein extraction using TCA/acetone extraction method. Protein separation and comparative analysis was performed using two-dimensional gel electrophoresis and nESI-LC-MS/MS mass spectrometery, respectively.
Results: The 2-DE analysis revealed that 5 out of 155 protein spots in Katul and 11 out of 143 protein spots in Gorgan 3 had significantly different expression levels in PDA and non-PDA plants. The differential analysis of significantly expressed spots by nESI-LC-MS/MS showed that most of these protein had already been discovered to regulate cellular activities as diverse as energy production, metabolism, signal transduction, gene transcription and translation as well as protein destination and storage.
Conclusion: Taken together, it is possible that 14-3-3 like protein, OEE2, ribulose 1, 5 bisphosphate carboxylase/oxygenase large subunite and NACA proteins are among the most important regulators of pod distortion anomaly incidence.
Introduction and Objective: Pod distortion anomaly (PDA) is a particular type of growth along with flower and pod abnormality in that soybean plants remain green long after pod maturation which caused significantly yield reduction. To identification of proteins that involved in soybean pod distortion anomaly incidence, the proteins expression profiles of PDA and non-PDA soybean cultivars viz. Katul and Gorgan 3 were compared via proteomics and bioinformatics approaches.
Material and Methods: Therefore, leaf samples of two cultivars were collected at flowering growth stage and subjected to protein extraction using TCA/acetone extraction method. Protein separation and comparative analysis was performed using two-dimensional gel electrophoresis and nESI-LC-MS/MS mass spectrometery, respectively.
Results: The 2-DE analysis revealed that 5 out of 155 protein spots in Katul and 11 out of 143 protein spots in Gorgan 3 had significantly different expression levels in PDA and non-PDA plants. The differential analysis of significantly expressed spots by nESI-LC-MS/MS showed that most of these protein had already been discovered to regulate cellular activities as diverse as energy production, metabolism, signal transduction, gene transcription and translation as well as protein destination and storage.
Conclusion: Taken together, it is possible that 14-3-3 like protein, OEE2, ribulose 1, 5 bisphosphate carboxylase/oxygenase large subunite and NACA proteins are among the most important regulators of pod distortion anomaly incidence.
Keywords: Cell proteolysis, Green-stay phenotype, Mass spectrometery, Rubisco, Soybean proteome, Two dimentional gel electrophoresis
Type of Study: Research |
Subject:
بيوتكنولوژي گياهي
Received: 2021/08/15 | Revised: 2022/08/6 | Accepted: 2021/11/22 | Published: 2022/08/12
Received: 2021/08/15 | Revised: 2022/08/6 | Accepted: 2021/11/22 | Published: 2022/08/12
Send email to the article author
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
