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Integrated proteome analysis of the wheat embryo and endosperm reveals central metabolic changes involved in water deficit response during the grain development Aiqin Gu, Pengchao Hao, Dongwen Lv, Shoumin Zhen, Yanwei Bian, Chaoying Ma, Yanhao Xu, Wenying Zhang, and Yue-Ming Yan J. Agric. Food Chem., Just Accepted Manuscript • DOI: 10.1021/acs.jafc.5b00575 • Publication Date (Web): 02 Sep 2015 Downloaded from http://pubs.acs.org on September 8, 2015
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Journal of Agricultural and Food Chemistry
Integrated proteome analysis of the wheat embryo and endosperm reveals central metabolic changes involved in water deficit response during the grain development Aiqin Gu1, Pengchao Hao1, Dongwen Lv1, Shoumin Zhen1, Yanwei Bian1, Chaoying Ma1, Yanhao Xu2, Wenying Zhang2, Yueming Yan1, 2* 1
College of Life Sciences, Capital Normal University, Beijing 100048, China
2
Hubei Collaborative Innovation Center for Grain Industry; Yangtze University,
434025 Jingzhou, China AiqinGu:
[email protected]; PengchaoHao:
[email protected]; DongwenLv:
[email protected]; Shoumin Zhen:
[email protected]; YanweiBian:
[email protected]; Chaoying Ma:
[email protected]; Yanhao Xu:
[email protected] ; WY Zhang:
[email protected] *Corresponding author: Prof. Dr. Yueming Yan, College of Life Science, Capital Normal University, Xi San Huan Bei Lu No. 105, 100048 Beijing, P. R. of China. Tel. and Fax: 0086-10-68902777 E-mail:
[email protected] 1 ACS Paragon Plus Environment
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ABSTRACT
2
Embryo and endosperm of wheat have different physiological functions and big
3
differences in protein level. In this study, we performed the first integrated proteome
4
analysis of wheat embryo and endosperm in response to water deficit during grain
5
development. In total, 155 and 130 differentially expressed protein (DEP) spots in
6
embryo and endosperm were identified respectively by nonlinear two-dimensional
7
electrophoresis (2-DE) and tandem mass spectrometry. These DEPs in embryo were
8
mainly involved in stress/defense responses such as heat shock related proteins (HSP)
9
and peroxidase, whereas those in endosperm were mainly related to starch and
10
storage protein synthesis such as alpha-amylase inhibitor and globulin-1 S allele.
11
Particularly, some storage proteins such as avenin-like proteins and high molecular
12
weight (HMW) glutenin subunit Dy12 displayed higher expression levels in the
13
mature endosperm under water deficit, which might contribute to the improvement
14
of breadmaking quality.
15
KEYWORDS: wheat, embryo, endosperm, water deficit, proteome
16 17 18 19 20 21
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INTRODUCTION
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Wheat is one of the three most important grain crops, and is cultivated worldwide.
24
Wheat flour can be used to make various specific products, such as noodles, bread,
25
biscuits, and pasta, and serves as one of the most important food for humans and
26
livestock. Wheat protein can provide essential amino acids required by humans,
27
although protein content is relative low (usually 8–15%) 1. Along with the constantly
28
increasing world population, the global demand for wheat has also risen. 2 However,
29
the growth and development of wheat are readily influenced by various biotic and
30
abiotic stresses, such as drought, flooding, salt, and high and low temperatures.
31
Water stress, as one of the most important abiotic stresses, has a great impact on
32
wheat grain yield, especially at the flowering and early grain-filling stages. 3
33
Under drought stress, plants often suffer oxidative damage due to disruption of
34
the balance between the production and elimination of reactive oxygen species
35
(ROS). The accumulation of ROS can damage lipids, proteins, and DNA, finally
36
leading to cell death.
37
evolved efficient signaling networks to eliminate or reduce this damage. Proteins
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related to antioxidant and stress/defense responses, such as superoxide dismutase,
39
peroxidase, and glutathione play important roles in the process. 5 Along with the
40
great progress in plant genomics, bioinformatics, and proteomics, considerable work
41
has been done on the plant drought response at different levels, such as the genome, 6
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transcriptome,
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improvements in wheat genome sequencing 10-12 are expected to facilitate wheat
7
4
To survive under these unfriendly conditions, cells have
and proteome
8-9
under drought stress. Notably, continuous
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proteome studies.
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The embryo and endosperm are the most important organs of wheat grains, and
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both develop from double fertilization. The embryo comprises embryonic axis and a
47
single cotyledon, and plays important roles in organ regeneration during grain
48
germination. Endosperm mainly accumulates storage starch and proteins. The
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biosynthesis of starch majors in determinant of wheat yield. 13 Under drought stress,
50
the size, yield, and breadmaking quality of wheat grains are significantly affected.
51
Although a number of proteomic studies on wheat grain development and adverse
52
stress have been carried out, most of these investigations have only focused on a
53
single tissue or organ, such as the embryo 14 or on whole grains 8-9, 15-16. Several
54
proteins belonging to the seed storage family, LEA-type/heat shock proteins, enzyme
55
metabolism were identified in embryo
56
alpha-amylase inhibitors identified upregulation in the grain of drought resistant
57
varieties 9, 16. However, comparative proteome analysis of the wheat embryo and
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endosperm in response to drought stress has not been reported. It is necessary to
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further investigate how these two organs respond to water stress differently.
14
and ascorbate peroxidases
8, 15
, LEA,
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In this study, we performed the first integrated comparative proteome analysis of
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the wheat embryo and endosperm under field water deficit during grain development.
62
We identified considerable differentially expressed proteins to reveal the central
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metabolic changes in the embryo and endosperm development under water deficit,
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which provide new insights into the biochemical mechanism of wheat grain
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development in response to drought stress. 4 ACS Paragon Plus Environment
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MATERIALS AND METHODS
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Wheat Materials, Water Deficit Treatment, and Sampling. The elite
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Chinese winter wheat cultivar Jing 411 (Triticum aestivum L, 2n = 6x = 42,
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AABBDD) was used as material in this study, which has been widely cultivated in
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Beijing and north wheat production area of China since 1990s. It has many desirable
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features such as high yield and good yield stability, strong cold hardiness, wide
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adaptability and commendable resistance
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experimental station of Agricultural University of China during 2013-2014 growing
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season. The station is located in Hebei province (latitude 37º41´02˝N, longitude
75
116º37´23˝E) with average annual sunshine of 2690 h, highest temperature of 32°C
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and about 125 mm rainfall during the wheat growing season. Plants were grown at
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three biological replicates and each plot was 50 m2. Water stress treatment was
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conducted as follows: in the control group as local field cultivation management,
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wheat was watered approximately 750 m3/ha at sowing, jointing and flowering
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stages, respectively. While in the stress group, no watering was used after sowing.
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The soil water content ranged from 13.3% to 9.18% in water-deficit conditions and
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from 18.1% to 13.3% in control conditions at the jointing stage, flowering stage, and
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mature stage. This soil water content was about 20 − 30% lower in stressed than in
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control groups. The treatment belonged to medium-to-severe drought stress
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according to Guttieri 18. Wheat spikes were immediately marked once flowering, and
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collected at 15, 21, 26, 30, and 45 days after flowering (DAF), respectively. The
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middle 4-6 grains of each ear were used as experimental materials. Husks were first
17
. The cultivar was grown at Wuqiao
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removed from seeds, then separated embryo and aleurone layer from the remainder
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of the seed at low temperatures, respectively 13. Embryo and endosperm samples
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were stored at -80°C prior to use.
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Measurement of Physiological Indicators, Agronomic Traits, and
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Quality Parameters. Flag leaves of five stages (12, 15, 18, 21, and 26 DAF) were
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sampled. Five biology replications of each period were measured. Physiological
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indicator testing consisted of the contents of leaf relative water (RWC),
95
malondialdehyde (MDA), soluble sugar, free proline, and chlorophyll. The
96
measurement of RWC was followed by the method of Smart 19, MDA and soluble
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sugar contents were based on the procedure of Zhao et al. 20, free proline content was
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referred to the progress of Bates et al. 21, and chlorophyll content was according to
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Arnon 22 with minor modifications.
100
After grain matured, the main agronomic traits were measured and the plant
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samples were collected. The grain yield was measured according to three plot
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replications, and theoretical and practical yields were obtained. Different grain
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quality parameters were tested, including total protein content (14% moisture basis),
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falling number, gluten content, Farinograph, Extensograph, Mixograph, loaf volume,
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appearance score and C-cell properties. Flour protein content was determined
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according to American Association of Cereal Chemists Approved Methods (AACC)
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39-10A with a near-infrared (NIR) analyzer (Instalab610, Dickey-john Co. Ltd,
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USA). Falling number (Perten, Sweden) were determined with the methods of
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AACC 56-81B. Mixograph index (Nationalmfg, USA) including water absorption 6 ACS Paragon Plus Environment
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rate, peak time, and time×width, was determined according to the method of AACC
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54-40A. Gluten content was measured according to the method of Czuchajowska 23.
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Farinograph and extensograph (Brabender, German) were followed by the methods
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of AACC 54-21 and 54-10. And bread-making was followed with the method of
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AACC 10-10B. The internal structure of bread was tested and evaluated by the
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means of C-CELL (UK CCFRA Company). Data analysis was performed using
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independent Student’s T-test with SPSS statistical software (version 17.0).
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Protein Extraction and Nonlinear 2-DE. Protein was extracted from embryo
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and endosperm according to the process of Guo et al. 24 with minor modifications. A
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total of 500 mg samples were quickly ground into a fine power in liquid nitrogen.
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Protein extractions were dissolved with lysis buffer (7 M urea, 2 M thiourea, 4%
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CHAPS) for about 5 h. Protein concentrations were evaluated with a 2-D Quant Kit
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(Amersham Bioscience, USA) using bovine serum albumin (BSA, 2 mg/ml) as the
123
standard.
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Nonlinear two-dimensional electrophoresis (2-DE) isolation was performed
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according to the steps of Jiang et al, which can significantly improve the resolution
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of protein separation compared to traditional linear 2-DE. 8 In total, 500 µg protein
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samples were mixed with 1 mg DTT, 0.5% IPG buffer (GE Healthcare/Amersham
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Biosciences), 1 µl 1% bromophenol blue solution and moderate rehydration buffer (7
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M urea, 2 M thiourea, 2% w/v CHAPS), and 350 µl mixed solution was loaded onto
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an ImmobilineDryStrip (pH 3-10, 18 cm, nonlinear strip, GE Healthcare, USA) for
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isoelectric focusing (IEF). After IEF, the strips were treaded with equilibration buffer 7 ACS Paragon Plus Environment
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for the second SDS-PAGE. At least two technical replicates for each sample were
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performed to obtain statistically reliable results. Protein spot images were visualized
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by Coomassie Brilliant blue staining (R-250/G-250 = 4:1; Sigma, USA) and scanned
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at 600 dpi with a UMAX Power Look 2100XL scanner (Maxium Tech Inc., Taiwan,
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China). The image analysis was carried out with ImageMaster™ 2D Platinum
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Software Version 7.0 (Amersham Bioscience). The abundance of protein spots from
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biological and technical replicates was estimated by percentage volumes (Vol. %).
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Data analysis was conducted using independent Student’s T-test with SPSS statistical
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software (version 17.0). Only those with significant and reproducible changes (at
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least 2-fold increase/decrease and p-value < 0.05) were considered as differentially
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expressed protein (DEP) spots.
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MALDI-TOF/TOF-MS. DEP spots were manually excised from the gels,
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digested with trypsin and identified by matrix-assisted laser desorption/ionization
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time-of-flight/time-of-flight mass spectrometry (MALDI-TOF/TOF-MS). After
146
bleaching, enzymatic and drying, the peptides were analyzed by using an ABI 4800
147
Proteomic Analyzer MALDI-TOF/TOF-MS (Applied Biosystems/MDS Sciex, USA).
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The parameters were set as follows: laser intensity 4,500 and mass range 900-3,500
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Da. The MS/MS spectra was searched against Viridiplantae (green plant) sequences
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in the non-redundant National Center for Biotechnology Information (NCBI)
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database (Nov 28, 2012; including 1,154,529 protein sequences) by using software
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MASCOT (version: 2.1.0) with the following parameter settings: trypsin cleavage,
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one missed cleavages allowed, peptide mass tolerance set to ± 0.3 Da, fragment 8 ACS Paragon Plus Environment
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tolerance set to ± 0.4 Da. Only the proteins with both Protein Score C.I. % and Total
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Ion Score C.I. % above 95% were identified as credible results.
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Multivariate and Cluster Analysis. The multivariate method was carried out
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by Principal Component Analysis (PCA) in the R language with the average relative
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abundance of all the identified DEP spots 25-26. PCA is a way of identifying patterns
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in data, and expressing the data in such a way as to emphasis their similarities and
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differences. In our study, identified DEP spots of control and stressed embryo and
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endosperm during the five development stages were analyzed by PCA. Cluster
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analysis of the differentially abundant proteins data was performed by using cluster
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software (version 3.0). Euclidean distances and Ward’s criteria were used for the
164
analysis. Cluster results were displayed by Java Tree view software.
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Bioinformatics and Statistical Analysis. The possible functions of
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identified proteins were classified according to the information from uniprot
167
database
168
(www.geneontology.org). The sequences of all identified proteins were used for
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BLAST analysis with NCBI cluster of eukaryotic Orthologous Groups (KOG)
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database to obtain the KOG numbers of those proteins. Information about the
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protein-protein interaction was used these KOG numbers with the Search Tool for
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Retrieval of Interacting Genes/Proteins (STRING) database (version 9.1.
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www.string-db.org) to construct an interaction network graph 27 with a confidence
174
score of potential substrates at least 0.9. The network was displayed using the
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cytoscape software (version 3.0). 28 When an unknown named protein was identified,
(www.uniprot.org)
and
Gene
Ontology
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(GO)
database
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homologous protein of known function with the highest query cover (above 90%)
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and lowest E value were blast in NCBI database. Subcellular localizations of
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identified proteins were forecasted by UniprotKB (http://www.uniprot.org/) database,
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WoLF PSORT (http://wolfpsort.org/) and Predotar (http://urgi.versailles.inra.fr/
180
predotar/predotar.html) program. 29-30 The most likely location of a given protein was
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determined by similar results from at least two programs.
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RESULTS
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Changes in Leaf physiological Indexes, Agronomic Traits and
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Breadmaking Quality Properties in Response to Water Deficit. Results for
185
leaf physiological indexes are shown in Figure1. RWC displayed a decreasing trend
186
during the five development periods and a significantly lower content in water stress
187
samples. In contrast, the contents of free proline, MDA, and soluble sugar were all
188
significantly higher in the water stress samples. MDA, which can react with proteins
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and nucleic acids and inhibit protein synthesis, is the final decomposition product of
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lipid peroxidation and reflects the degree of cell damage. While free proline and
191
soluble sugars, help to protect the structure of proteins and adjust osmotic balance
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and protect the proteins from stress damages 31. Chlorophyll content increased in the
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first three stages, and then decreased during the subsequent stages and displayed
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significant changes under water stress. These physiological index changes might
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reflect the general wheat response to water deficit during grain development.
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The results for agronomic traits, yield and quality performance showed a
197
significant difference between control and water stress samples (Table 1 and S1). 10 ACS Paragon Plus Environment
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Under water stress, the seeds had significant lower spikelet numbers, spike grain
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numbers and grain weights, and had an approximate 12% reduction in yield
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compared to the control (Table S1). Water stress shortened the time of wheat grain
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filling, which explains the lower weight and yield under water deficit. Grain quality
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analysis showed that total protein and gluten contents were higher in control samples.
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However, some breadmaking related parameters of Mixograph, Extensograph, loaf
204
volume, loaf appearance score and C-cell testing showed significant increase under
205
water-stressed treatment comparing with the control (Table 1).
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Proteome Characterization of the Embryo and Endosperm in
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Response to Water Deficit during Grain Development. Protein spots for the
208
embryo and endosperm were detected by nonlinear 2-DE during grain development
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under water deficit (Figure 2A–B). In total, 876 ± 8 and 752 ± 5 spots on all gels of
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embryo and endosperm were detected, respectively. Of these, 155 DEP spots in the
211
embryo corresponded to 112 unique proteins, and 130 DEP spots in endosperm
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corresponded
213
MALDI-TOF/TOF-MS (Figure 2A–B, Figure 3, Table S2–3). Among these DEP
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spots, 60 representing 47 unique DEPs were found in both embryo and endosperm
215
samples, while 95 representing 76 unique DEPs and 70 representing 60 unique DEPs
216
were identified particularly in embryo and endosperm, respectively (Figure 3).
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Detailed peptide information for all of the identified proteins is shown in Table S4.
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To obtain more information about the unknown/predicted proteins, their sequences
219
were used to search for homologues by BLASTP. Predicted proteins with sequence
to
96
unique
proteins,
were
successfully
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by
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220
similarity > 90% were considered homologues. 14 BLASTP revealed homologues for
221
20 spots (Table S5).
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PCA showed major differences between the two organs during the grain
223
development stages under drought stress. DEP spots of different stages in endosperm
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were located in the same plot, and were in a different plot of those in embryo (Figure
225
4A-B). These results indicated that the difference between organs was dominant over
226
differences during grain development under water stress. Samples from five different
227
development stages were grouped into different plots in these two organs, but
228
differences between control and water deficit samples were modest (Figure 4C-D).
229
Our moderate treatment might explain this phenomenon. Cluster results showed a
230
differential protein expression trends in the embryo and endosperm during grain
231
development under water deficit (Figure S1). Protein expression profiles at 15-21
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DAF and 30-45 DAF generally showed similar patterns of accumulation in control
233
embryo, respectively, and proteins expression profiles at 26 DAF closed to those at
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30-45 DAF (Figure S1A), whereas under water deficit, protein accumulation at 21
235
DAF similarly to those at 26 DAF and differently to those at 15 DAF (Figure S1B),
236
which might indicate proteins in embryo in response to water deficit mainly from 21
237
DAF. By comparing Figure S1C and Figure S1D, proteins in endosperm responded
238
to water deficit mainly from 26 DAF.
239
According to the protein function, these DEPs could be classified into nine
240
categories in embryo development: stress/defense response, energy metabolism,
241
storage
proteins,
nitrogen
metabolism,
protein
metabolism/folding,
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starch
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metabolism, transport, lipid metabolism, and other important functions (Table S2).
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The DEP spots identified in endosperm development under water deficit showed
244
similarly functional classifications (Table S3), except for the absence of lipid
245
metabolism-related proteins. Prediction of protein-protein interactions was displayed
246
in Figure 5. Proteins identified in both embryo and endosperm samples were located
247
in the middle. Proteins identified specifically in the embryo and endosperm were
248
located
249
dehydrogenase (GAPDH, KOG0657), 70 kDa heat shock-related protein (HSP70,
250
KOG0101), and ubiquitin (KOG0001) had the most connections with other proteins,
251
and were located in the center, suggesting their important roles in the embryo and/or
252
endosperm development in response to water deficit. Proteins with different
253
functions were closely connected with each other and formed a big network to play
254
center roles in response to water deficit. Subcellular localizations of the identified
255
proteins were predicted. They were mainly located in the cytoplasm, mitochondria,
256
vacuole, and nucleus (Tables S2–3).
to
the
left
and
right,
respectively.
Glyceraldehyde-3-phosphate
257
Comparative Proteome Analysis of the Embryo and Endosperm in
258
Grain Development under Water Deficit. Embryo was identified to have more
259
stress/defense response related DEP spots and less starch metabolism and storage
260
related proteins than endosperm in this study. About 40 and 34 DEP spots involving
261
in stress/defense response were identified in embryo and endosperm, respectively
262
(Table S2-3). Whereas 10 and 19 DEP spots taking part in starch metabolism were
263
identified respectively in these two organs. Aldose reductase-related protein (spot 13 ACS Paragon Plus Environment
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30), cold regulated protein (spot 54), peroxidase 1 (spot 151), and stromal 70 kDa
265
heat shock-related protein (spot 164) involving in stress/defense response were only
266
identified in embryo, while beta-amylase (spot 45) with important roles in starch
267
metabolism, storage proteins such as putative avenin-like α precursor (spot 169) and
268
HMW gultenin subunit Dy 12 (spot 115) were only identified in endosperm (Table
269
2).
270
DISCUSSION
271
Stress/Defense-Related Proteins. Cells suffer harmful damage during grain
272
development due to various biotic and abiotic stresses, especially under water deficit.
273
Large amounts of ROS accumulate in cells under stress, leading to lipid peroxidation,
274
protein (enzyme) instability, and loss of osmotic balance.
275
activated in cells in response to stress. Many proteins largely accumulated in cells
276
under stress, such as peroxidase, HSP, and LEA. 1-Cys peroxiredoxin PER1 (spot 3)
277
is involved in ROS scavenging, and has been reported to be a dormancy-related
278
protein expressed in the embryo and aleurone layer of barley. 32 This enzyme may
279
help maintain dormancy and prevent germination under unfavorable conditions. 33 It
280
displayed higher expression from 21 DAF in both embryo and endosperm under
281
water deficit, and reached a 4.56 fold accumulation level in embryo at 26 DAF
282
comparing with 15 DAF, much more than that increased in endosperm (Table S 2-3).
283
The higher accumulation improved the ability to survive a harsh environment during
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grain development. Four peroxidase proteins (spots 150-153) that also take part in
285
ROS scavenging were specifically up-accumulated in the embryo during grain 14 ACS Paragon Plus Environment
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Defense signals are
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development in response to defense stress (Table 2, Table S2). 34 Stromal 70 kDa
287
heat shock-related protein (HSP 70), a chaperone, binds extended peptide segments
288
of polypeptides with a net hydrophobic character during translation and membrane
289
translocation, and may interact with newly imported proteins to assist in their
290
maturation by protein folding and reassembly.
291
overexpression of HSP genes in wheat in response to environmental stress. 36 Three
292
HSP DEP spots (spots 164, 191 and 211) were specifically identified in the embryo
293
(Tables S2). Spots 191 and 211 (corresponding to KOG 0101), and spot 164
294
(corresponding to KOG0102) were predicated interacting many other proteins and
295
played a key role in embryo development 14 (Figure 5). Another two proteins were
296
obtained, 16.8 kDa heat-shock protein (spot 133) and predicted 17.9 kDa class I heat
297
shock protein-like (spot 216), the homologous protein of hypothetical protein
298
TRIUR3_03549 and unnamed protein product, respectively (Table S5). The
299
abundance of small Hsps in plants functioned in binding and stabilizing non-native
300
proteins, and might play a role in plant-acquired tolerance to drought and salt. 37
301
These phenomena enhanced the embryo’s ability of drought tolerance and might
302
show the main function in stress/defense response in embryo under water deficit.
303
Alpha-amylase inhibitors (spots 1, 32, 33, 52, 66, 67, 118, 147, and 181) inhibit the
304
degradation of starch and increase starch accumulation in cells, which are related to
305
adjustment of osmotic balance and protecting the cells from the damage by insects. 38
306
It has been reported that the wheat endosperm proteome contained abundant levels
307
(about 11% of total proteins) of alpha-amylase inhibitors and alpha-amylase/trypsin
35
Related study has reported the
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inhibitors to protect the starch reserves from degradation 39. Their expressions were
309
upregulated in drough tolerance genotypes, but were downregulated in sensitive
310
genotypes 16. Consistent with our results, nine related DEP spots were identified in
311
endosperm, seven of them showed higher expression under water deficit (Table S3).
312
Especially, spot 147 had reached 5.15, 8.15 and 7.77 fold accumulation at 21, 26, 45
313
DAF (comparing with 15 DAF), respectively. These results reveal the main function
314
of adjusting starch accumulation in endosperm under drought.
315
Energy Metabolism-Related Proteins. Proteins participating in ATP
316
synthesis, glycolysis, and the tricarboxylic acid (TCA) cycle provide plenty of
317
energy and molecular materials for grain development under water deficit. In this
318
study, many DEPs related to energy metabolism were identified under drought.
319
GAPDH (spots 57 and 110-114), a key enzyme of glycolysis, catalyzes the
320
conversion of D-glyceraldehyde 3-phosphate (G3P) to 3-phospho-D-glyceroyl
321
phosphate. In the present study, this enzyme showed higher accumulation in early
322
embryo and late endosperm development and up-regulated at 30 DAF in embryo
323
under water deficit (spot 111, Table 2). This favored to embryo cells regulating stress
324
defense mechanism. Protein-protein interaction analysis showed that many other
325
proteins related to energy metabolism and stress/defense responses were closely
326
connected with GAPDH (Figure 5) and indicated its central role in metabolism.
327
Other energy metabolism related proteins such as ATP synthase-related proteins,
328
dihydrolipoyl dehydrogenase 1, Bp2A protein, triosephosphate-isomerase and so on
329
were identified in response to water deficit in embryo and/or endosperm during the 16 ACS Paragon Plus Environment
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grain development. All of these proteins closely interacted with each other and
331
provided enough carbohydrates and energy for embryo and endosperm development
332
under water deficit.
333
Starch Metabolism-Related Proteins. The embryo has been reported to be a
334
powerful sink for nutrients, and also accumulates moderate starch for germination,
335
but many starches were degraded into carbohydrates to improve the desiccation
336
tolerance during the development. 40-41 Storage starch is mainly accumulated in the
337
endosperm (approximately 70–80% dry weight), and largely determines wheat yield
338
during the development. Seven and ten related proteins were identified in embryo
339
and endosperm in this study, respectively, and most of them displayed a lower
340
accumulation under drought compared with the control, leading to a yield reduction
341
(Table S1). Sucrose synthase (SUS, spots 192–197) catalyzes the first step in the
342
conversion of sucrose to starch, which provides UDP-glucose and fructose for
343
various metabolic pathways. ADP-glucose pyrophosphorylase large subunit
344
(AGPase, spot 21) is a major rate-limiting enzyme in grain starch biosynthesis. It
345
initiates starch biosynthesis in plants, and catalyzes the formation of ADP-glucose
346
from Glc-1-P and ATP. SUS and AGPase are considered to be crucial for
347
development, carbon partitioning, and synthesis of storage starch during grain
348
development, and are active when starch accumulates in storage tissues. 42-43 In the
349
present study, these two proteins mainly displayed down-accumulated in late embryo
350
and endosperm development under water deficit. Fructokinase-1-like, a homolog of
351
the hypothetical protein F775_30384 (spot 130), which may help to maintain the 17 ACS Paragon Plus Environment
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Page 18 of 43
352
flux of carbon towards starch formation 44, showed a similar decreasing expression
353
under
354
4)-alpha-D-glucosidic linkages in polysaccharides and removes successive maltose
355
units from the non-reducing ends of the chains, were specifically identified in the
356
endosperm and down-regulated in the late development under water stress (Table 2).
357
So the endosperm expressed alpha-amylase inhibitors to ease the reduced starch
358
under water deficit.
drought.
Beta-amylase
(spot
45),
which
hydrolyzes
(1-
>
359
Storage proteins. Wheat storage proteins mainly present in the endosperm,
360
especially glutenins and gliadins, have important effects on nutritional quality for
361
humans and livestock and on functional properties in food processing 45. Under water
362
deficit, many of them displayed a similar expression pattern and had fewer changes
363
than the control (Table S3). Some globulins displayed downregulation during the
364
grain development, similarly to the previous results of Laino 15. However, some
365
storage proteins showed higher expression under water deficit compared with the
366
control, such as HMW glutenin subunit Dy12 (spot 115), putative avenin-like α
367
precursor (spot 169) (Table 2), and the hypothetical protein F775_27291 (spot 124),
368
a homolog of avenin-3 (Table S5). One gliadin protein spot (spot 84) and four
369
protein spots, globulin-1 S allele (spots 87-90) also displayed more than 3 fold
370
upregulation during the grain development under water deficit (Table S3). Glutenins
371
and gliadins are two prolamine groups of gluten constituents, contain many cysteine
372
residues which involved in intramolecular and intermolecular linkages and
373
contribute to the viscoelastic properties of gluten which determine dough strength. 46 18 ACS Paragon Plus Environment
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Journal of Agricultural and Food Chemistry
374
Avenin-like proteins are also rich in cysteine, may contribute to wheat dough
375
viscoelastic properties via inter-chain disulfide bonds. 47 Globulins are crosslinked
376
by both disulfide and non-disulfide crosslinks to affect dough and crumb properties.
377
48
378
breadmaking quality. Therefore, it is suggested that these proteins have positive
379
significance for the improvement of breadmaking quality. As shown in Table 1,
380
although the amount of gluten decreased, bread quality improved under water deficit.
381
Overview of Central Metabolic Changes during Wheat Embryo and
382
Endosperm Development in Response to Water Deficit. Here, we propose a
383
putative proteomic metabolic pathway during wheat embryo and endosperm
384
development in response to water deficit, which provides an overview of the main
385
DEP differences between the embryo and endosperm (Figure 6). The embryo mainly
386
synthesized proteins related to stress/defense responses during grain development,
387
such as peroxidase and HSP while the endosperm mainly accumulated storage starch
388
and storage proteins. Many energy metabolism related enzymes were both identified
389
in these two organs. Under water deficit, most proteins related to energy metabolism
390
and stress/defense responses were upregulated in the embryo. Proteins related to
391
starch were downregulated in endosperm, which might explain the lower grain
392
weights and reduced yields. But some storage proteins, such as HMW glutenin,
393
globulins, and avenin-like proteins, showed upregulated expression under water
394
deficit, which might benefit for bread making quality.
395
Funding
As we all know, there is a great relationship between dough strength and
19 ACS Paragon Plus Environment
Journal of Agricultural and Food Chemistry
396
This research was financially supported by grants from the National Natural Science
397
Foundation of China (31271703, 31471485), Natural Science Foundation of Beijing
398
City and the Key Developmental Project of Science and Technology, Beijing
399
Municipal Commission of Education (KZ201410028031), the National Key Project
400
for Transgenic Crops in China (2014ZX08009-003), and International Science
401
&Technology Cooperation Program of China (2013DFG30530).
402
Notes
403
The authors declare no competing financial interest.
404
SUPPORTING INFORMATION
405
Hierarchical clustering of identified proteins in both control and stressed embryo and
406
endosperm during the grain development (Figure S1), some agronomic and yield traits
407
of wheat cultivar Jing 411 under control and water deficit treatment (Table S1),
408
identified differentially expression proteins in embryo (Table S2) and endosperm
409
(Table S3) in water deficit response during the grain development, peptide
410
information of all the identified proteins (Table S4) and homologous proteins of some
411
unknown proteins (Table S5) all support this study. These supporting materials are
412
available free of charge via the Internet at http://pubs.acs.org.
413
ABBREVIATIONS USED
414
AGPase, ADP-glucose pyrophosphorylase large subunit; DAF, days after flowering;
415
DEP, differentially expressed protein; 2-DE, two-dimensional electrophoresis;
416
GAPDH, glyceraldehyde-3-phosphate dehydrogenase; HMW, high molecular weight;
417
HSP 70, stromal 70 kDa heat shock-related protein; IEF, isoelectric focusing; KOG, 20 ACS Paragon Plus Environment
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418
eukaryotic Orthologous Groups; LEA, late embryogenesis abundant proteins;
419
MALDI-TOF/TOF-MS, matrix-assisted laser desorption/ionization time-of-flight/
420
time-of-flight mass spectrometry; MDA, malondialdehyde; NCBI, National Center
421
for Biotechnology Information; PCA, principal component analysis; ROS, reactive
422
oxygen species; RWC, leaf relative water; SUS, sucrose synthase; TCA,
423
tricarboxylic acid cycle.
424
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Table 1.Comparison of different breadmaking quality parameters of wheat cultivar Jing 411 between normal cultivation conditions and water deficit treatment. Basic quality parameters Treatments
Total
Total gluten
protein
content
(%)
(%)
313
12.67
±3
±0.05
FN
Control Stress
Mixograph Peak time
Time×width
(min)
(%)
3.26
6.34
5.46
±0.03
±0.06
±0.8
Farinograph Water
Extensograph Maximum
DT
Stability
Energy area
Extensibility
(min)
(min)
(cm2)
(mm)
50.1
1.9
3.5
50
161
192
±0.1
±0.1
±0.1
±1
±1
±4
absorption (%)
resistance (B.U.)
325
12.51
2.92
6.33
6.12
50
1.7
4
57
165
208
±6*
±0.02*
±0.03**
±0.03
±0.84**
±0.1
±0.1*
±0.2*
±1*
±2*
±1*
Loaf volume and appearance Treatments
score Loaf volume (ml3)
Control Stress
C-cell parameters
Score (100)
Cell diameter /px
Cell contrast
Curvature
Non-
Number
Slice area
Slice
Total
Volume of
uniformity
of cells
(px)
brightness
concavity (%)
holes
820
59
20.03
0.705
1383.5
1.81
2436
270709
145.1
1.75
0.75
±12
±1
±0.16
±0.005
±64.5
±0.09
±15
±348
±0.3
±0.02
±0.25
883
67
21.00
0.717
1788
1.04
2512
287615
150.9
3.425
0.25
±6*
±2*
±0.32**
±0.001**
±3**
±0.17**
±37*
±176**
±0.4**
±0.08**
±0.12*
29
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* and**: Significance at 5% and 1% levels, respectively; FN: Falling number; DT: Dough development time.
Table 2. Expression characteristics of some important DEP spots in embryo and endosperm in response to water deficit during grain development. Average volume SpotIDa
GI Number
204 205
gi|13387255 0 gi|28172909 gi|46174405 8 gi|18076790 gi|47560421 7 gi|14850878 4 gi|14850878 4 gi|11124572 gi|11124572
21
gi|32812836
45
gi|32400764 gi|47403319 7 gi|1872473
48 6 73 157 175 111 113
15 61
(15:21:26:30:45)b EMCc EMSd
Protein Name Bp2A protein Cytosolic 3-phosphoglycerate kinase Enolase Phosphoglucomutase Pyrophosphate--fructose 6-phosphate Glyceraldehyde-3-phosphate dehydrogenase Glyceraldehyde-3-phosphate dehydrogenase Triosephosphate-isomerase Triosephosphate-isomerase ADP-glucose pyrophosphorylase large subunit Beta-amylase Acyl-[acyl-carrier-protein] desaturase 2, chloroplastic Delta-24-sterol methyltransferase
Protein Function ENC E
E
e
ENS E
E
f
Energy Metabolism Energy Metabolism
E
E
Energy Metabolism Energy Metabolism Energy Metabolism
E N
Energy Metabolism
E
Energy Metabolism Energy Metabolism Energy Metabolism
N E
E
E
Starch Metabolism Starch Metabolism
E N N
30
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N N
Lipid Metabolism Lipid Metabolism
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23 9 49 69 182 207 3 30 50 51 54 71 145 151 164 169 87 102 115
gi|47559536 6 gi|47440751 2 gi|56606827 gi|47375387 4 gi|27735373 gi|68305063 gi|47544233 9 gi|167113 gi|47429261 0 gi|62465514 gi|26017213 gi|1169518 gi|47411003 9 gi|30008707 1 gi|47556576 0 gi|89143120 gi|47441141 9 gi|21539846 8 gi|46981764
Nitrogen Metabolism
Alanine aminotransferase 2 20 kDachaperonin, chloroplastic
E N
Calreticulin-like protein
E N
Elongation factor 1-beta Replication factor C like protein Ubiquitin
N
Protein Metabolism Protein Metabolism Protein Metabolism
N
1-Cys peroxiredoxin PER1 Aldose reductase-related protein
E
E
Stress/Defense Stress/Defense
N N
Stress/Defense Stress/Defense Stress/Defense Stress/Defense
Catalase isozyme 1 Class II chitinase Cold regulated protein Em protein H5 Late embryogenesis abundant protein Lea14-A Peroxidase 1 Stromal 70 kDa heat shock-related protein Putative avenin-like a precursor
Protein Folding Protein Metabolism
N N
Stress/Defense
E
E
E
E
Stress/Defense
E
E
Stress/Defense Storage Protein
Globulin-1 S allele
Storage Protein
Globulin 3C
Storage Protein Storage Protein
HMW glutenin subunit Dy12
E
E
a. The protein spots showed in Figure 2; b. The average relative abundanceat15, 21, 26, 30, 45 days after flower; c. Control embryo; d. Stressed
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embryo; e. Control endosperm; f. Stressed endosperm. E means the spot did not show significantly at least 2-fold differences. N means the spot did not exist. Green color indicates a relative lower accumulation. Red color indicates a relative higher accumulation.
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Figure legends: Figure 1. Physiological index changes of wheat flag leaves in the control and water stress samples during the development progress. (A) RWC, relative water content. (B) Proline content. (C) MDA, malondialdehyde content. (D) Soluble sugar content. (E) Chlorophyll content. DAF, day after flower. Control, the control samples. Stress, the water stressed samples. “**”, “*”, Significant differences between the stress and the control samples at 1% and 5% levels, respectively. Figure 2. The identified differentially expressed protein (DEP) spots in embryo (A) and endosperm (B) in response to water deficit during the grain development. The protein numbers are same as those in Table S2-S3. NL, nonlinear; EMC15, control embryo at 15 day after flower; EMC21, control embryo at 21 day after flower; EMC26, control embryo at 26 day after flower; EMC30, control embryo at 30 day after flower; EMC45, control embryo at 45 day after flower; EMS15, Stressed embryo at 15 day after flower; EMS21, Stressed embryo at 21 day after flower; EMS26, Stressed embryo at 26 day after flower; EMS30, Stressed embryo at 30 day after flower; EMS45, Stressed embryo at 45 day after flower; ENC15, control endosperm at 15 day after flower; ENC21, control endosperm at 21 day after flower; ENC26, control endosperm at 26 day after flower; ENC30, control endosperm at 30 day after flower; ENC45, control endosperm at 45 day after flower; ENS15, Stressed endosperm at 15 day after flower; ENS21, Stressed endosperm at 21 day after flower; ENS26, Stressed endosperm at 26 day after flower; ENS30, Stressed endosperm at 30 day after flower; ENS45, Stressed endosperm at 45 day after flower. Protein spot 33 ACS Paragon Plus Environment
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was numbered by the order of the first letter of the protein names. The same differential protein spot in embryo and endosperm has the same number, whereas different protein spots with the different numbers. Figure 3. Numbers of identified DEP spots in embryo and endosperm. Numbers in brackets means the corresponding numbers of unique proteins. Figure 4. Principal component analysis (PCA) of all the identified DEP spots in embryo and endosperm development under water deficit. (A) Individual stages in embryo and endosperm development. (B) Individual stages of embryo and endosperm under water deficit. (C) Individual stages of embryo development in response to water deficit. (D) Individual stages of endosperm development in response to water deficit. C, control samples, S, stressed samples. EM, Embryo. EN, Endosperm.15, 21, 26, 30, 45 mean five grain developmental stages at 15, 21, 26, 30, 45 DAF. Figure 5. Prediction of protein-protein interaction between some identified proteins with high confidence score (0.900). Proteins of the left were from embryo; Proteins of the right were from endosperm; Proteins of the middle were both shared in these two tissues; Different colors display different functions. Abbreviation: GAPDH, Cytosolic glyceraldehyde-3-phosphate dehydrogenase; HSP70, Stromal 70 kDa heat shock-related protein. Figure 6. An overview of possible metabolic pathways of embryo and endosperm development in response to water deficit. Abbreviations: AA, Amino acid; AAI, alpha-amylase
inhibitor;
ADPG,
ADP-glucose; 34
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pyrophosphorylase large subunit; Bp2A, Bp2A protein; DHAR, Dehydroascorbate reductase;
EF,
Elongation
factor;
GAPDH,
Glyceraldehyde-3-phosphate
dehydrogenase; G-1-P, Glucose-1-phosphate; HSP, Heat shock-related protein; LEA, Late embryogenesis abundant protein Lea14-A; MC, control embryo; MS, stressed embryo;
NC,
control
endosperm;
NS,
stressed
endosperm;
PGM,
Phosphoglucomutase; ROS, Reactive oxygen species; 24SMT, Delta-24-sterol methyltransferase; SUS, Sucrose synthase, UDPG, Uridinediphosphate glucose.
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Figure 1
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A
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B
Figure 2
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Figure 3
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Figure 4
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Figure 5
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Figure 6
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TOC Graphic
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