Literature DB >> 27102496

Label-free proteome profiling reveals developmental-dependent patterns in young barley grains.

Stephanie Kaspar-Schoenefeld1, Kathleen Merx1, Anna Maria Jozefowicz1, Anja Hartmann1, Udo Seiffert2, Winfriede Weschke1, Andrea Matros3, Hans-Peter Mock4.   

Abstract

UNLABELLED: Due to its importance as a cereal crop worldwide, high interest in the determination of factors influencing barley grain quality exists. This study focusses on the elucidation of protein networks affecting early grain developmental processes. NanoLC-based separation coupled to label-free MS detection was applied to gain insights into biochemical processes during five different grain developmental phases (pre-storage until storage phase, 3days to 16days after flowering). Multivariate statistics revealed two distinct developmental patterns during the analysed grain developmental phases: proteins showed either highest abundance in the middle phase of development - in the transition phase - or at later developmental stages - within the storage phase. Verification of developmental patterns observed by proteomic analysis was done by applying hypothesis-driven approaches, namely Western Blot analysis and enzyme assays. High general metabolic activity of the grain with regard to protein synthesis, cell cycle regulation, defence against oxidative stress, and energy production via photosynthesis was observed in the transition phase. Proteins upregulated in the storage phase are related towards storage protein accumulation, and interestingly to the defence of storage reserves against pathogens. A mixed regulatory pattern for most enzymes detected in our study points to regulatory mechanisms at the level of protein isoforms. BIOLOGICAL SIGNIFICANCE: In-depth understanding of early grain developmental processes of cereal caryopses is of high importance as they influence final grain weight and quality. Our knowledge about these processes is still limited, especially on proteome level. To identify key mechanisms in early barley grain development, a label-free data-independent proteomics acquisition approach has been applied. Our data clearly show, that proteins either exhibit highest expression during cellularization and the switch to the storage phase (transition phase, 5-7 DAF), or during storage product accumulation (10-16 DAF). The results highlight versatile cellular metabolic activity in the transition phase and strong convergence towards storage product accumulation in the storage phase. Notably, both phases are characterized by particular protective mechanism, such as scavenging of oxidative stress and defence against pathogens, during the transition and the storage phase, respectively.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Barley; Data-independent acquisition; Grain development; Label-free; Proteomics

Mesh:

Substances:

Year:  2016        PMID: 27102496     DOI: 10.1016/j.jprot.2016.04.007

Source DB:  PubMed          Journal:  J Proteomics        ISSN: 1874-3919            Impact factor:   4.044


  7 in total

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Journal:  Int J Mol Sci       Date:  2020-12-01       Impact factor: 5.923

5.  Ubiquitin-related genes are differentially expressed in isogenic lines contrasting for pericarp cell size and grain weight in hexaploid wheat.

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Journal:  BMC Plant Biol       Date:  2018-01-25       Impact factor: 4.215

6.  Microscopic and Proteomic Analysis of Dissected Developing Barley Endosperm Layers Reveals the Starchy Endosperm as Prominent Storage Tissue for ER-Derived Hordeins Alongside the Accumulation of Barley Protein Disulfide Isomerase (HvPDIL1-1).

Authors:  Valentin Roustan; Pierre-Jean Roustan; Marieluise Weidinger; Siegfried Reipert; Eszter Kapusi; Azita Shabrangy; Eva Stoger; Wolfram Weckwerth; Verena Ibl
Journal:  Front Plant Sci       Date:  2018-09-10       Impact factor: 5.753

7.  Proteomic variations after short-term heat shock treatment reveal differentially expressed proteins involved in early microspore embryogenesis in cabbage (Brassica oleracea).

Authors:  Henan Su; Guo Chen; Limei Yang; Yangyong Zhang; Yong Wang; Zhiyuan Fang; Honghao Lv
Journal:  PeerJ       Date:  2020-04-08       Impact factor: 2.984

  7 in total

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