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基于液相色谱-质谱联用的无标记定量蛋白质组学对150个小麦品种的表征揭示了改良小麦烘焙品质和人类健康特性的可能性。

Characterization of 150 Wheat Cultivars by LC-MS-Based Label-Free Quantitative Proteomics Unravels Possibilities to Design Wheat Better for Baking Quality and Human Health.

作者信息

Afzal Muhammad, Sielaff Malte, Curella Valentina, Neerukonda Manjusha, El Hassouni Khaoula, Schuppan Detlef, Tenzer Stefan, Longin C Friedrich H

机构信息

State Plant Breeding Institute, University of Hohenheim, Fruwirthstr. 21, 70599 Stuttgart, Germany.

Institute for Immunology, University Medical Center of the Johannes Gutenberg University Mainz, Langenbeckstr. 1, 55131 Mainz, Germany.

出版信息

Plants (Basel). 2021 Feb 24;10(3):424. doi: 10.3390/plants10030424.

Abstract

Wheat ( ssp. ) contributes to 20% of the human protein supply, delivers essential amino acids and is of fundamental importance for bread and pasta quality. Wheat proteins are also involved in adverse human reactions like celiac disease (CD), wheat allergy (WA) and non-celiac wheat sensitivity (NCWS). Using liquid chromatography-mass spectrometry (LC-MS)-based label-free quantitative (LFQ) proteomics of aqueous flour extracts, we determined 756 proteins across 150 wheat cultivars grown in three environments. However, only 303 proteins were stably expressed across all environments in at least one cultivar and only 89 proteins thereof across all 150 cultivars. This underlines the large influence of environmental conditions on the expression of many proteins. Wheat cultivars varied largely in their protein profile, shown by high coefficients of variation across different cultivars. Heritability (h) ranged from 0-1, with 114 proteins having h² > 0.6, including important proteins for baking quality and human health. The expression of these 114 proteins should be amenable to targeted manipulation across the wheat supply chain by varietal choice and breeding for designing healthier wheat with better quality. Further technical development is urgently required to assign functions to identifiable proteins labeled yet uncharacterized in databases and speeding up detection methods to routinely use proteomics in wheat supply chains.

摘要

小麦(亚种)占人类蛋白质供应的20%,提供必需氨基酸,对面包和意大利面的品质至关重要。小麦蛋白还与乳糜泻(CD)、小麦过敏(WA)和非乳糜泻小麦敏感(NCWS)等不良人体反应有关。通过基于液相色谱-质谱(LC-MS)的无标记定量(LFQ)蛋白质组学技术,对在三种环境下种植的150个小麦品种的面粉水提取物进行分析,我们鉴定出了756种蛋白质。然而,在至少一个品种中,只有303种蛋白质在所有环境中稳定表达,其中在所有150个品种中稳定表达的只有89种。这突出了环境条件对许多蛋白质表达的巨大影响。不同小麦品种的蛋白质谱差异很大,不同品种间变异系数较高。遗传力(h)范围为0至1,有114种蛋白质的h²>0.6,包括对烘焙品质和人类健康重要的蛋白质。通过品种选择和育种,在整个小麦供应链中对这114种蛋白质的表达进行定向调控,有望培育出更健康、品质更好的小麦。迫切需要进一步的技术发展,以便为数据库中已鉴定但功能未知的蛋白质赋予功能,并加快检测方法的速度,以便在小麦供应链中常规使用蛋白质组学技术。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/912f/7996164/a0fb5360dc13/plants-10-00424-g001.jpg

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