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Proteom ic characterization o f soybean lea f proteins from cultivar D T 2000 with rust-resistant ability in Vietnam
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International Journal of Biọsciences I IJB I
ISSN: 2220-6655 (Print), 2222-5234 (Online)
http://www.innspub.net
Vol. 6, No. 2, p. 468-477, 2015
INNSPUB
RESEARCH PAPER
Proteomic characterization of soybean leaf proteins from
cultivar DT2000 with rust-resistant ability in Vietnam
Vu Thanh T r a 1, Tran Thi Phuong Lien®, Chu Hoang M au1’
'T hai Nguyen University, Vietnam
-Institute o f Biotechnology, Academy o f Science and Technolog)!, Vietnam
K eyw o rd s: Leaf proteins, Phakopsora pachyrhizi Syd., proteomics, soybean, rust-resistant ability.
h ttp ://d x .d o i.o r g / 10. 1ÍÌ6 9 2 /i jb /6.2.468-477 A rticle published on Ja n u a ry 2.9, 2015
Recently, proteomics has become one of the most promising and powerful tools for the proteome identification
in plant cells. In this study, a proteomics approach was used to analyze and characterize soybean leaf proteins
from a soybean rust (Phakopsora pcichyrhizi Syd.) resistant soybean cultivar DT2000. Initially, nine-day-old
leaf proteins were extracted from cultivar DT2000 and then separated by two-dimensional polyacrylamide gel
electrophoresis (2DE). The collected protein spots were cut out, treated, trypsin-digested, and analyzed by using
two-dimensional nano-liquid chromatography (LC) coupled online with tandem mass spectrometry. Results
showed that 119 protein spots were found in 2DE gels. Of these, 35 leaf proteins were characterized from the
cultivar DT2000. The identified proteins were classified into nine functional groups by Gene Ontology as
follows: photosynthesis (29%), energy (17%), glycolysis (11%), storage (9%), metabolism (8%), transport (8%),
transcription (8%), disease/defense (8%) and unknown (6%). Especially, out of 35 characterized proteins from
the cultivar DT2000, three proteins related to the defense and disease resistance were discovered. The results of
our study indicated that the 2DE combined with nanoLC and coupled with tandem mass spectrometry (ESI Q
TRAP MSMS) analyze was a promising approach for the identification of soybean proteins.
Abstract
* Corresponding Author: Chu Hoang Mau chuhoanc;[email protected]