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Proteome analysis of sugar beet leaves under drought stress

机译:干旱胁迫下甜菜叶片的蛋白质组学分析

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摘要

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.
机译:干旱是限制甜菜(Beta vulgaris L.)产量的主要因素之一。鉴定标记辅助选择(MAS)候选基因可以大大提高育种效率,提高抗旱性。干旱引起的蛋白质组变化可能会突出重要的基因。在田间栽培了两个遗传背景不同的甜菜基因型(7112和7219-P.69)。从四叶期开始,使用线源喷灌系统进行灌溉和缺水处理。播种后第157天,从水分充足和干旱胁迫的植物中收集叶片样品以提取蛋白质,并测量枝条生物量和叶片相对含水量。通过二维凝胶电泳研究叶片蛋白中诱导的变化,并使用图像分析软件进行定量分析。在可重复检测和分析的500多个蛋白质斑点中,有79个斑点在干旱下表现出显着变化。一些蛋白质响应干旱而显示出特定基因型上调或下调的模式。通过液相色谱-串联质谱(LC-MS / MS)分析了20个蛋白斑点,从而鉴定了Rubisco和其他11种参与氧化还原调节,氧化应激,信号转导和伴侣活性的蛋白。这些蛋白质中的一些可以在干旱下贡献生理优势,使其成为MAS的潜在靶标。

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