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蛋白质组学数据整合突出了与一粒小麦(亚种)籽粒灌浆相关的核心参与者及其与籽粒贮藏蛋白组成的关系。

Proteomic Data Integration Highlights Central Actors Involved in Einkorn ( ssp. ) Grain Filling in Relation to Grain Storage Protein Composition.

作者信息

Bancel Emmanuelle, Bonnot Titouan, Davanture Marlène, Alvarez David, Zivy Michel, Martre Pierre, Déjean Sébastien, Ravel Catherine

机构信息

UMR GDEC, Institut National de la Recherche Agronomique (INRA), Université Clermont Auvergne, Clermont-Ferrand, France.

UMR1095, Genetics Diversity and Ecophysiology of Cereals, Clermont Auvergne University, Clermont-Ferrand, France.

出版信息

Front Plant Sci. 2019 Jul 4;10:832. doi: 10.3389/fpls.2019.00832. eCollection 2019.

DOI:10.3389/fpls.2019.00832
PMID:31333693
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6620720/
Abstract

Albumins and globulins (AGs) of wheat endosperm represent about 20% of total grain proteins. Some of these physiologically active proteins can influence the synthesis of storage proteins (SPs) (gliadins and glutenins) and consequently, rheological properties of wheat flour and processing. To identify such AGs, data, (published by Bonnot et al., 2017) concerning abundance in 352 AGs and in the different seed SPs during grain filling and in response to different nitrogen (N) and sulfur (S) supply, were integrated with mixOmics R package. Relationships between AGs and SPs were first unraveled using the unsupervised method sparse Partial Least Square, also known as Projection to Latent Structure (sPLS). Then, data were integrated using a supervised approach taking into account the nutrition and the grain developmental stage. We used the block.splda procedure also referred to as DIABLO (Data Integration Analysis for Biomarker discovery using Latent variable approaches for Omics studies). These approaches led to the identification of discriminant and highly correlated features from the two datasets (AGs and SPs) which are not necessarily differentially expressed during seed development or in response to N or S supply. Eighteen AGs were correlated with the quantity of SPs per grain. A statistical validation of these proteins by genetic association analysis confirmed that 5 out of this AG set were robust candidate proteins able to modulate the seed SP synthesis. In conclusion, this latter result confirmed that the integrative strategy is an adequate way to reduce the number of potentially relevant AGs for further functional validation.

摘要

小麦胚乳中的白蛋白和球蛋白(AGs)约占谷物总蛋白的20%。这些生理活性蛋白中的一些会影响贮藏蛋白(SPs)(醇溶蛋白和谷蛋白)的合成,进而影响小麦粉的流变学特性和加工性能。为了鉴定此类AGs,将有关灌浆期及不同氮(N)和硫(S)供应条件下352种AGs及不同种子SPs丰度的数据(由Bonnot等人于2017年发表)与mixOmics R软件包进行整合。首先使用无监督方法稀疏偏最小二乘法(也称为潜在结构投影,sPLS)揭示AGs与SPs之间的关系。然后,采用考虑营养和谷物发育阶段的监督方法对数据进行整合。我们使用了也称为DIABLO(利用组学研究的潜在变量方法进行生物标志物发现的数据整合分析)的block.splda程序。这些方法从两个数据集(AGs和SPs)中鉴定出了判别性和高度相关的特征,这些特征在种子发育过程中或对N或S供应的响应中不一定存在差异表达。18种AGs与每粒种子中SPs的含量相关。通过遗传关联分析对这些蛋白质进行的统计验证证实,该AG组中有5种是能够调节种子SP合成的可靠候选蛋白。总之,后一结果证实,整合策略是减少潜在相关AGs数量以进行进一步功能验证的一种适当方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a05/6620720/f6fb1c913281/fpls-10-00832-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a05/6620720/b62de350f61c/fpls-10-00832-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a05/6620720/1c514b239e02/fpls-10-00832-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a05/6620720/4ecb06e9354f/fpls-10-00832-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a05/6620720/023b2fc3623b/fpls-10-00832-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a05/6620720/557b05c75455/fpls-10-00832-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a05/6620720/f6fb1c913281/fpls-10-00832-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a05/6620720/b62de350f61c/fpls-10-00832-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a05/6620720/1c514b239e02/fpls-10-00832-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a05/6620720/4ecb06e9354f/fpls-10-00832-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a05/6620720/023b2fc3623b/fpls-10-00832-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a05/6620720/557b05c75455/fpls-10-00832-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a05/6620720/f6fb1c913281/fpls-10-00832-g006.jpg

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