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Comprehensive proteome analysis of lettuce latex using multidimensional protein-identification technology.
Cho, Won Kyong; Chen, Xiong-Yan; Uddin, Nazim Mohamad; Rim, Yeonggil; Moon, Juyeon; Jung, Jin-Hee; Shi, Chunlin; Chu, Hyosub; Kim, Suwha; Kim, Seon-Won; Park, Zee-Yong; Kim, Jae-Yean.
Affiliation
  • Cho WK; Division of Applied Life Science (BK21 program), Environmental Biotechnology, National Core Research Center, PMBBRC, Gyeongsang National University, Jinju 660-701, Republic of Korea.
Phytochemistry ; 70(5): 570-8, 2009 Mar.
Article in En | MEDLINE | ID: mdl-19356777
ABSTRACT
Commercially, lettuce (Lactuca sativa) is one of the most important leafy vegetables. Lettuce produces a milky latex of variable chemical compositions within its laticifers. As a step toward understanding the main physiological roles of this latex in higher plants, we embarked on its proteomic analysis. We investigated 587 latex proteins that were identified from the lettuce latex using multidimensional protein-identification technology. A bioinformatics analysis showed that the most frequently encountered proteins in the latex were organellar proteins from plastids and mitochondria, followed by nucleic and cytoplasmic proteins. Functional classification of the identified proteins showed that proteins related to metabolism, cell rescue, defense, and virulence were the most abundant in lettuce latex. Furthermore, numerous resistance proteins of lettuce and viral proteins were present in the latex suggesting for the first time a possible function of the lettuce latex in defense or pathogenesis. To the knowledge of the authors, this is the first large-scale proteome analysis of lettuce latex.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Plant Proteins / Lactuca / Proteome / Latex Type of study: Diagnostic_studies / Prognostic_studies Language: En Journal: Phytochemistry Year: 2009 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Plant Proteins / Lactuca / Proteome / Latex Type of study: Diagnostic_studies / Prognostic_studies Language: En Journal: Phytochemistry Year: 2009 Document type: Article
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