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采用硫酸鱼精蛋白沉淀和 TMT 定量蛋白质组学分析相结合的方法深入研究成熟和灌浆期种子中的低丰度蛋白质。

In-Depth Investigation of Low-Abundance Proteins in Matured and Filling Stages Seeds of Employing a Combination of Protamine Sulfate Precipitation and TMT-Based Quantitative Proteomic Analysis.

机构信息

Department of Plant Bioscience, Pusan National University, Miryang 50463, Korea.

Interdisciplinary Program in Bioengineering, College of Engineering, Seoul National University, Seoul 03080, Korea.

出版信息

Cells. 2020 Jun 22;9(6):1517. doi: 10.3390/cells9061517.

DOI:10.3390/cells9061517
PMID:32580392
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7349688/
Abstract

Despite the significant technical advancements in mass spectrometry-based proteomics and bioinformatics resources, dynamic resolution of soybean seed proteome is still limited because of the high abundance of seed storage proteins (SSPs). These SSPs occupy a large proportion of the total seed protein and hinder the identification of low-abundance proteins. Here, we report a TMT-based quantitative proteome analysis of matured and filling stages seeds of high-protein (Saedanbaek) and low-protein (Daewon) soybean cultivars by application of a two-way pre-fractionation both at the levels of proteins (by PS) and peptides (by basic pH reverse phase chromatography). Interestingly, this approach led to the identification of more than 5900 proteins which is the highest number of proteins reported to date from soybean seeds. Comparative protein profiles of Saedanbaek and Daewon led to the identification of 2200 and 924 differential proteins in mature and filling stages seeds, respectively. Functional annotation of the differential proteins revealed enrichment of proteins related to major metabolism including amino acid, major carbohydrate, and lipid metabolism. In parallel, analysis of free amino acids and fatty acids in the filling stages showed higher contents of all the amino acids in the Saedanbaek while the fatty acids contents were found to be higher in the Daewon. Taken together, these results provide new insights into proteome changes during filling stages in soybean seeds. Moreover, results reported here also provide a framework for systemic and large-scale dissection of seed proteome for the seeds rich in SSPs by two-way pre-fractionation combined with TMT-based quantitative proteome analysis.

摘要

尽管基于质谱的蛋白质组学和生物信息学资源取得了重大技术进展,但由于种子贮藏蛋白 (SSP) 的丰度较高,大豆种子蛋白质组的动态分辨率仍然有限。这些 SSP 占据了总种子蛋白的很大比例,阻碍了低丰度蛋白质的鉴定。在这里,我们通过应用双向预分级(蛋白质水平的 PS 和肽水平的碱性 pH 反相色谱),报告了高蛋白(Saedanbaek)和低蛋白(Daewon)大豆品种成熟和灌浆阶段种子的 TMT 定量蛋白质组分析。有趣的是,这种方法鉴定出了超过 5900 种蛋白质,这是迄今为止从大豆种子中鉴定出的蛋白质数量最多的一次。Saedanbaek 和 Daewon 的比较蛋白质图谱在成熟和灌浆阶段的种子中分别鉴定出 2200 种和 924 种差异蛋白质。差异蛋白质的功能注释表明,与主要代谢相关的蛋白质富集,包括氨基酸、主要碳水化合物和脂质代谢。同时,对灌浆阶段游离氨基酸和脂肪酸的分析表明,Saedanbaek 中的所有氨基酸含量都较高,而 Daewon 中的脂肪酸含量较高。总的来说,这些结果为大豆种子灌浆阶段蛋白质组的变化提供了新的见解。此外,这里报道的结果还为通过双向预分级结合 TMT 定量蛋白质组分析,对富含 SSP 的种子的种子蛋白质组进行系统和大规模解析提供了框架。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e27/7349688/a58208c895a8/cells-09-01517-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e27/7349688/a7eb7cfd5cd5/cells-09-01517-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e27/7349688/9b27b30ee4d6/cells-09-01517-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e27/7349688/1a96689ef372/cells-09-01517-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e27/7349688/221d3bb11f69/cells-09-01517-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e27/7349688/24f8d9c8407f/cells-09-01517-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e27/7349688/c12fa2569328/cells-09-01517-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e27/7349688/a58208c895a8/cells-09-01517-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e27/7349688/a7eb7cfd5cd5/cells-09-01517-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e27/7349688/9b27b30ee4d6/cells-09-01517-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e27/7349688/1a96689ef372/cells-09-01517-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e27/7349688/221d3bb11f69/cells-09-01517-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e27/7349688/24f8d9c8407f/cells-09-01517-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e27/7349688/c12fa2569328/cells-09-01517-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e27/7349688/a58208c895a8/cells-09-01517-g007.jpg

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