title: Proteome analysis of sugar beet leaves under drought stress.
abstract: Drought is one of the major factors limiting the yield of sugar beet (Beta vulgaris L.). The identification of candidate genes for marker-assisted selection (MAS) could greatly improve the efficiency of breeding for increased drought tolerance. Drought-induced changes in the proteome could highlight important genes. Two genotypes of sugar beet (7112 and 7219-P.69) differing in genetic background were cultivated in the field. A line-source sprinkler irrigation system was used to apply irrigated and water deficit treatments beginning at the four-leaf stage. At 157 days after sowing, leaf samples were collected from well-watered and drought-stressed plants for protein extraction and to measure shoot biomass and leaf relative water content. Changes induced in leaf proteins were studied by two-dimensional gel electrophoresis and quantitatively analyzed using image analysis software. Out of more than 500 protein spots reproducibly detected and analyzed, 79 spots showed significant changes under drought. Some proteins showed genotype-specific patterns of up- or downregulation in response to drought. Twenty protein spots were analyzed by liquid chromatography-tandem mass spectrometry (LC-MS/MS), leading to identification of Rubisco and 11 other proteins involved in redox regulation, oxidative stress, signal transduction, and chaperone activities. Some of these proteins could contribute a physiological advantage under drought, making them potential targets for MAS.
authors.affiliation: Agricultural Biotechnology Research Institute of Iran, Karaj, Iran.
authors.forename: Mohsen
authors.initials: M
authors.lastname: Hajheidari
authors.forename: Mohammad
authors.initials: M
authors.lastname: Abdollahian-Noghabi
authors.forename: Hossein
authors.initials: H
authors.lastname: Askari
authors.forename: Manzar
authors.initials: M
authors.lastname: Heidari
authors.forename: Seyed Y
authors.initials: SY
authors.lastname: Sadeghian
authors.forename: Eric S
authors.initials: ES
authors.lastname: Ober
authors.forename: Ghasem Hosseini
authors.initials: GH
authors.lastname: Salekdeh
mesh_terms: D000465:Algorithms; D027461:Beta vulgaris / Q000235:genetics*; D002853:Chromatography, Liquid; D029773:Citrullus; D021983:Cyclophilins / Q000378:metabolism; D015536:Down-Regulation; D015180:Electrophoresis, Gel, Two-Dimensional; D004777:Environment; D018506:Gene Expression Regulation, Plant; D005819:Genetic Markers; D023281:Genomics / Q000379:methods*; D005838:Genotype; D006360:Heat-Shock Proteins / Q000378:metabolism; D007091:Image Processing, Computer-Assisted; D013058:Mass Spectrometry; D018832:Molecular Chaperones; D012275:Oryza; D010084:Oxidation-Reduction; D018384:Oxidative Stress; D018515:Plant Leaves / Q000378:metabolism; D011506:Proteins / Q000737:chemistry; D040901:Proteomics / Q000379:methods*; D012273:Ribulose-Bisphosphate Carboxylase / Q000378:metabolism; D015398:Signal Transduction; D013696:Temperature; D015854:Up-Regulation; D014867:Water / Q000378:metabolism; D003313:Zea mays
chemical_list: D005819:Genetic Markers; D006360:Heat-Shock Proteins; D018832:Molecular Chaperones; D011506:Proteins; D014867:Water; D012273:Ribulose-Bisphosphate Carboxylase; D021983:Cyclophilins