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Publication Details
 
Output Category: C1
Strategic Research Area: None
TISI Citations: PlumX StatisticsPlumX Statistics
Scopus Citations:
Journal Impact: 2.48
All Authors: Tan, H, Jacoby, R, Ong-Abdullah, M, Taylor, N, Liddell, S, Chee, W, Chin, C Number:
UWA Authors: Jacoby, R., Taylor, N. Number: 2
Title: Proteomic profiling of mature leaves from oil palm (Elaeis guineensis Jacq.)
Journal: ELECTROPHORESIS   
ISBN/ISSN 0173-0835
Year: 2017
Full Reference (Harvard Style): Tan, H., Jacoby, R., Ong-Abdullah, M., Taylor, N., Liddell, S., Chee, W., Chin, C. 2017, 'Proteomic profiling of mature leaves from oil palm (Elaeis guineensis Jacq.)', ELECTROPHORESIS,
Abstract:

Oil palm is one of the most productive oil bearing crops grown in Southeast Asia. Due to the dwindling availability of agricultural land and increasing demand for high yielding oil palm seedlings, clonal propagation is vital to the oil palm industry. Most commonly, leaf explants are used for in vitro micropropagation of oil palm and to optimize this process it is important to unravel the physiological and molecular mechanisms underlying somatic embryo production from leaves. In this study, a proteomic approach was used to determine protein abundance of mature oil palm leaves. To do this, leaf proteins were extracted using TCA/acetone precipitation protocol and separated by 2DE. A total of 191 protein spots were observed on the 2D gels and 67 of the most abundant protein spots that were consistently observed were selected for further analysis with 35 successfully identified using MALDI TOF/TOF MS. The majority of proteins were classified as being involved in photosynthesis, metabolism, cellular biogenesis, stress response, and transport. This study provides the first proteomic assessment of oil palm leaves in this important oil crop and demonstrates the successful identification of selected proteins spots using the Malaysian Palm Oil Board (MPOB) Elaeis guineensis EST and NCBI-protein databases. The MS data have been deposited in the ProteomeXchange Consortium database with the data set identifier PXD001307.