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Type :Article
Subject :Q Science (General)
ISBN :1687-157X
Main Author :Jameel R. Al-Obaidi, Azi Azeyanty Jamaludin
Title :Mapping proteomic response to salinity stress tolerance in oil crops: Towrads enhanced plant resilience
Hits :53
Place of Production :Tanjung Malim
Publisher :Fakulti Sains & Matematik
Year of Publication :2024
Notes :Journal of Genetic Engineering and Biotechnology
Corporate Name :Universiti Pendidikan Sultan Idris
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Abstract : Universiti Pendidikan Sultan Idris
Exposure to saline environments significantly hampers the growth and productivity of oil crops, harmfully affecting their nutritional quality and suitability for biofuel production. This presents a critical challenge, as understanding salt tolerance mechanisms in crops is key to improving their performance in coastal and high-salinity regions. Our content might be read more properly: This review assembles current knowledge on protein-level changes related to salinity resistance in oil crops. From an extensive analysis of proteomic research, featured here are key genes and cellular pathways which react to salt stress. The literature evinces that cutting-edge proteomic approaches − such as 2D-DIGE, IF-MS/MS, and iTRAQ − have been required to reveal protein expression patterns in oil crops under salt conditions. These studies consistently uncover dramatic shifts in protein abundance associated with important physiological activities including antioxidant defence, stress-related signalling pathways, ion homeostasis, and osmotic regulation. Notably, proteins like ion channels (SOS1, NHX), osmolytes (proline, glycine betaine), antioxidant enzymes (SOD, CAT), and stress-related proteins (HSPs, LEA) play central roles in maintaining cellular balance and reducing oxidative stress. These findings underline the complex regulatory networks that govern oil crop salt tolerance. The application of this proteomic information can inform breeding and genetic engineering strategies to enhance salt resistance. Future research should aim to integrate multiple omics data to gain a comprehensive view of salinity responses and identify potential markers for crop improvement. © 2024 The Author(s)

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