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首页> 外文期刊>Plant physiology >A systematic proteomic study of seed filling in soybean. Establishment of high-resolution two-dimensional reference maps, expression profiles, and an interactive proteome database
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A systematic proteomic study of seed filling in soybean. Establishment of high-resolution two-dimensional reference maps, expression profiles, and an interactive proteome database

机译：大豆种子填充的系统蛋白质组学研究。建立高分辨率的二维参考图谱，表达谱和交互式蛋白质组数据库

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A high-throughput proteomic approach was employed to determine the expression profile and identity of hundreds of proteins during seed filling in soybean (Glycine max) cv Maverick. Soybean seed proteins were analyzed at 2, 3, 4, 5, and 6 weeks after flowering using two-dimensional gel electrophoresis and matrix-assisted laser desorption ionization time-of-flight mass spectrometry. This led to the establishment of high-resolution proteome reference maps, expression profiles of 679 spots, and corresponding matrix-assisted laser desorption ionization time-of-flight mass spectrometry spectra for each spot. Database searching with these spectra resulted in the identification of 422 proteins representing 216 nonredundant proteins. These proteins were classified into 14 major functional categories. Proteins involved in metabolism, protein destination and storage, metabolite transport, and disease/defense were the most abundant. For each functional category, a composite expression profile is presented to gain insight into legume seed physiology and the general regulation of proteins associated with each functional class. Using this approach, an overall decrease in metabolism-related proteins versus an increase in proteins associated with destination and storage was observed during seed filling. The accumulation of unknown proteins, sucrose transport and cleavage enzymes, cysteine and methionine biosynthesis enzymes, 14-3-3-like proteins, lipoxygenases, storage proteins, and allergenic proteins during seed filling is also discussed. A user-intuitive database (http://oilseedproteomics. missouri.edu) was developed to access these data for soybean and other oilseeds currently being investigated.
机译：高通量蛋白质组学方法用于确定大豆（Glycine max）cv Maverick种子填充过程中数百种蛋白质的表达谱和同一性。开花后第2、3、4、5和6周使用二维凝胶电泳和基质辅助激光解吸电离飞行时间质谱分析大豆种子蛋白。这导致建立了高分辨率蛋白质组参考图谱，679个斑点的表达谱以及每个斑点对应的基质辅助激光解吸电离飞行时间质谱图。用这些光谱进行数据库搜索导致鉴定了代表216种非冗余蛋白质的422种蛋白质。这些蛋白质分为14个主要功能类别。参与代谢，蛋白质转运和储存，代谢物运输以及疾病/防御的蛋白质最多。对于每个功能类别，都提供了一个复合表达模式，以深入了解豆类种子的生理状况以及与每个功能类别相关的蛋白质的一般调控。使用这种方法，在种子灌装过程中观察到与代谢有关的蛋白质总体减少，而与目的地和储存相关的蛋白质增加。还讨论了种子填充过程中未知蛋白，蔗糖转运和切割酶，半胱氨酸和蛋氨酸生物合成酶，14-3-3-样蛋白，脂氧合酶，贮藏蛋白和过敏原蛋白的积累。开发了用户直观的数据库（http://oilseedproteomics.missouri.edu），以访问有关大豆和其他目前正在研究的油籽的数据。

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