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Comprehensive proteomics data on whole rice grain of selected pigmented and non-pigmented rice varieties using SWATH-MS approach

机译:使用SWATH-MS方法的综合蛋白质组学数据对各种稻米籽粒和非着色水稻品种

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The proteome data of whole rice grain is considerably limited particularly for rice with pigmentations such as black and red rice. Hence, we performed proteome analysis of two black rice varieties (BALI and Pulut Hitam 9), two red rice varieties (MRM16 and MRQ100) and two white rice varieties (MR297 and MRQ76) using label-free liquid chromatography Triple TOF 6600 tandem mass spectrometry (LC-MS/MS). Our aim was to profile and identify proteins related to nutritional (i.e. antioxidant, folate and low glycaemic index) and quality (i.e. aromatic) traits based on peptide-centric scoring from the Sequential Window Acquisition of All Theoretical Mass Spectra (SWATH-MS) approach. Both information dependent acquisition (IDA) and SWATH-MS run were performed in this analysis. Raw data was then processed using ProteinPilot software to identify and compare proteins from the six different varieties. In future, this proteomics data will be integrated with previously obtained genomics [1] and transcriptomics [2] data focusing on the above nutritional and quality traits, with an ultimate aim to develop a panel of functional biomarkers related to those traits for future rice breeding programme. The raw MS data of the pigmented and non-pigmented rice varieties have been deposited to ProteomeXchange database with accession number PXD018338.
机译:全水稻谷物的蛋白质组数据显着限制,特别是对于诸如黑色和红米等色素沉着的水稻。因此,我们进行了两种黑色水稻品种(Bali和Pulut Hutam 9),两种红米(MRM16和MRQ100)和两种白米品种(MR297和MRQ76)的蛋白质组分析,使用无标记的液相色谱三重TOF 6600串联质谱法(LC-MS / MS)。我们的目的是概况并鉴定与营养(即抗氧化剂,叶酸,低血糖指数)相关的蛋白质,以及基于肽中心的序列窗口获取所有理论质谱(SWATH-MS)方法的肽中心的质量(即芳族)性状。在此分析中执行了信息相关的采集(IDA)和SWATH-MS运行。然后使用蛋白质产品软件处理原始数据,以识别和比较来自六种不同品种的蛋白质。将来,该蛋白质组学数据将与先前获得的基因组学[1]和转录组织[2]数据集成在上述营养和质量特征上,终于旨在开发与未来水稻育种的那些特征有关的功能生物标志物组程序。用登录号PXD018338沉积着色素和非着色水稻品种的原料和非着色水稻品种的蛋白质Xange数据库。

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