Skip to main content
PLOS One logoLink to PLOS One
. 2015 Oct 29;10(10):e0141264. doi: 10.1371/journal.pone.0141264

Proteomic Analysis of the Relationship between Metabolism and Nonhost Resistance in Soybean Exposed to Bipolaris maydis

Yumei Dong 1, Yuan Su 2, Ping Yu 3, Min Yang 1, Shusheng Zhu 1, Xinyue Mei 1, Xiahong He 1, Manhua Pan 1, Youyong Zhu 1, Chengyun Li 1,*
Editor: Wei Wang4
PMCID: PMC4626022  PMID: 26513657

Abstract

Nonhost resistance (NHR) pertains to the most common form of plant resistance against pathogenic microorganisms of other species. Bipolaris maydis is a non-adapted pathogen affecting soybeans, particularly of maize/soybean intercropping systems. However, no experimental evidence has described the immune response of soybeans against B. maydis. To elucidate the molecular mechanism underlying NHR in soybeans, proteomics analysis based on two-dimensional polyacrylamide gel electrophoresis (2-DE) was performed to identify proteins involved in the soybean response to B. maydis. The spread of B. maydis spores across soybean leaves induced NHR throughout the plant, which mobilized almost all organelles and various metabolic processes in response to B. maydis. Some enzymes, including ribulose-1,5-bisphosphate carboxylase/oxygenase (RuBisCO), mitochondrial processing peptidase (MPP), oxygen evolving enhancer (OEE), and nucleoside diphosphate kinase (NDKs), were found to be related to NHR in soybeans. These enzymes have been identified in previous studies, and STRING analysis showed that most of the protein functions related to major metabolic processes were induced as a response to B. maydis, which suggested an array of complex interactions between soybeans and B. maydis. These findings suggest a systematic NHR against non-adapted pathogens in soybeans. This response was characterized by an overlap between metabolic processes and response to stimulus. Several metabolic processes provide the soybean with innate immunity to the non-adapted pathogen, B. maydis. This research investigation on NHR in soybeans may foster a better understanding of plant innate immunity, as well as the interactions between plant and non-adapted pathogens in intercropping systems.

Introduction

Nonhost resistance (NHR) is a plant immune response against major microorganisms that are pathogenic to other plant species [1, 2]. Unlike R-gene-mediated resistance, which is governed by either a single or a few genes, NHR is mainly controlled by multiple genes expressed in multiple patterns and durable defense responses [2]. Due to its highly robust and exceptional resistance properties, NHR is of scientific and economic importance. Information regarding the mechanism underlying NHR may serve as a foundation for the development of novel strategies for crop disease management and crop distribution [3].

Soybeans are an important crop throughout the world because of their high plant protein and oil content [4]. Growing a combination of different crops and species in one field can boost yield and suppress crop diseases [5, 6]. Maize/soybean intercropping is a common combination used in some countries to address issues of limited arable land and increasing food demand [6]. In the maize/soybean intercropping system, maize is susceptible to infection by Bipolaris maydis, whereas soybeans present no detectable symptoms of disease [7]. B. maydis does not have a soybean pathogen phenotype, nor is it related to any known soybean pathogens. In addition, it does not infect soybeans via touch interactions. A previous microscopy analysis of infected soybeans showed that successful callose deposition and hydrogen peroxide (H2O2) production (S1 Fig) may be the first line of defense against B. maydis growth [7]. Based on these findings, we hypothesized that soybean resistance to B. maydis is established via NHR, which is the most robust and durable forms of plant resistance in nature. It allows soybean plants to protect themselves against a wide variety of parasitic microorganisms [89].

In the past few decades, several studies have confirmed the existence of NHR in plants [7, 912]. Unlike the well-studied host resistance conferred by plant resistance (R) genes, the molecular basis of NHR remains elusive. In this present study, the foundation of soybean NHR against B. maydis, a pathogen affecting a remotely related plant species, was characterized at the proteomic level. The availability of complete soybean genome sequences and recent developments in various sequencing technologies have allowed us to investigate the complex mechanisms underlying NHR in soybeans at the protein level [1315].

Plants respond to stresses via differential expression of sets of genes, which results in changes in protein levels. The proteome represents the global protein expression profile of a species at a given time and under a set of conditions [16, 17]. Proteomic analysis involves identifying proteins involved in stress responses, determining their functions, and identifying possible regulatory networks that can be used to interpret stress-responsive processes that occur in plants [16, 17].

In a previous study, although there were no visible symptoms in soybean leaves inoculated with B. maydis, microscopic observations showed that successful callose deposition and H2O2 production (S1 Fig) may be the immediate response of a plant to restrict the growth of B. maydis [7]. Information on the molecular mechanism underlying this kind of robust and durable defense in whole soybean plants is currently limited. To better understand the mechanism of NHR in soybean, it is important to identify proteins that might be involved in the soybean response to exposure to B. maydis, determine the types of metabolic proteins involved in the NHR in soybeans, compare the findings of the present study and those of previous NHR investigations in plants, and determine whether any organelle was involved in the response to B. maydis. This present study addresses these issues and summarizes the metabolic processes involved in NHR in soybeans. The results may facilitate further our understanding of NHR in soybean plants.

Materials and Methods

Plant growth and inoculation

Seeds of the soybean cultivar Hua Chun 6 were sown in floriculture substrate in pots [15 cm (D) × 15 cm (H)] and grown in a greenhouse (70% relative humidity, 25°C/20°C day/night temperature, 14 h/10 h photoperiod) at a density of two plants per pot. These pots contained a mixture of sand and floriculture substrate at a ratio of 1:1 [18]. Samples of B. maydis race O (Y664) were collected from Wenshan Prefecture (east longitude 104°35′ and northern latitude 23°18′) in China’s Yunnan Province and preserved at the Yunnan Agricultural University College of Plant Protection. The B. maydis isolate was grown for 8 days at 27°C in a culture medium containing potato dextrose agar (PDA) and in the dark. The PDA medium was prepared as described elsewhere [19]. Conidia were collected with sterilized water (with 0.1% Tween-20) and the concentration was adjusted to 1 × 105 conidia per mL. This mixture served as the inoculating solution. Then, 200 mL of sterilized water (with 0.1% Tween-20) was used for mock inoculation of the controls, and 200 mL of the conidia solution was used to inoculate the treatment groups. At 72 h post-inoculation, soybean leaves, stems, and roots were collected from both B. maydis-inoculated and mock-inoculated (control) soybean seedlings, and the stems and roots were cut into 1-cm sections for easier grounding. Three replicates were prepared for each experiment.

Protein extraction from soybean leaves

One gram of leaf tissue (1.5 g of stem and root tissue) was ground to a fine powder using a mortar and pestle and in liquid nitrogen. The powder was transferred to a 50-mL centrifuge tube and supplemented with 20 mL of a pre-cooled mixture of 10% trichloroacetic acid and 2 mM phenylmethanesulfonyl fluoride (PMSF) and 50 mM DL-dithiothreitol (DTT), vortex mixed with acetone, and incubated overnight (or for 16 h–18 h) at -20°C. After incubation, the suspension was centrifuged at 20,000 rpm for 20 min at 4°C, and the protein pellet was washed three times with 2 mM PMSF and 50 mM DTT in 80% acetone. The pellet was dried with a circulating water vacuum pump (SHZ-IIID, Shanghai, China). A 20-mg fraction of the protein powder was then resuspended in 450 μL of lysis buffer (7 M urea, 2 M thiourea, 5% (3-[(3-cholamidopropyl)dimethylammonio]propanesulfonate (CHAPS), 2 mM DTT, and 0.3% Biolyte) by flicking the tube wall with fingers, and then incubated for 1 h at 25°C (or room temperature). The suspension was later centrifuged at 22,000 rpm for 20 min at 25°C, and then the resulting supernatant was collected. The protein content of the samples was quantitated using the Bradford method with bovine serum albumin as protein standard [20]. For each treatment, three independent proteins were prepared, and triplicate 2-DE gels were used for each sample.

2-DE used for protein separation

Six samples were individually run in triplicate to control gel variation. Approximately 600 μg of the purified protein extract was adjusted to a total volume of 500 μL with a rehydration buffer containing 7 M urea, 5% (w/v) CHAPS, 0.5% (v/v) immobilized pH gradient (IPG) buffer (pH 4–7 NL) (GE Healthcare, Munich, Germany), and freshly prepared 20 mM DTT for every 24-cm IPG strip (GE Healthcare, Munich, Germany). The adjusted protein solution was vortexed and centrifuged for 5 min at 22,000 rpm at 4°C and then was directly loaded into a focusing tray. IPG strips (4–7 NL, 24 cm; GE Healthcare, Munich, Germany) were passively rehydrated for 14 h at 20°C. Then, the proteins (three replicates per treatment) were separated in the first dimension by isoelectric focusing (IEF), and then in the second dimension via sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE).

IEF was conducted using the IPGphor system (GE Healthcare, Munich, Germany) under the following conditions [2122]: 250 V for 30 min with a linear ramp, 1,000 V for a minimum of 1 h with a rapid ramp, 9,000 V for 4.5 h with a linear ramp, and finally, 9,000 V at 65,000 V/h with a rapid ramp; the entire system was kept at 20°C. After IEF, the strips were equilibrated with 6 M urea, 2% SDS, 1.5 M Tris-HCl (pH 8.8), 30% glycerol, 0.02% bromophenol blue, and 130 mM DTT for 20 min. The second equilibration step was performed in a solution consisting of 6 M urea, 2% SDS, 1.5 M Tris–HCl (pH 8.8), 30% glycerol, 0.02% bromophenol blue, and 135 mM iodoacetamide (IAA) for 20 min. The equilibrated strips were placed on 12.5% SDS-polyacrylamide gels and sealed with 1% low-melting agarose. SDS-PAGE was performed at 20 mA/gel first and then adjusted to a constant current of 30 mA/gel after 45 min. The 2-DE gels were fixed with the mixture solution (40% ethanol, 10% acetic acid) for 3 h at 16°C, and then stained overnight with Coomassie brilliant blue (CBB) G-250. The protein spots were detected by destaining with a mixture solution (5% w/v ammonium sulfate and 0.5% methanol).

SDS-PAGE analysis

Gels were then carefully washed with double-distilled water, scanned at an optical resolution of 300 dpi (or 600 dpi), and saved as.tiff files. For spot detection and volume quantification, 300 dpi.tiff files were analyzed using the PDQuest software version 7.4. To correct for variability in CBB staining, the individual spot volumes were normalized by dividing each spot’s optical density (OD) value by the sum total OD of all the spots in the respective gels. Automated and manual spot matching were also performed [23].

The relative volumes were used to identify individual spots that were significantly differentially expressed between the two groups of gels (at least two-fold higher or lower and statistically significant as calculated by the student’s t-test, at P < 0.05) (|ratio|≥2, P < 0.05). Only those with significant and reproducible changes were considered differentially expressed proteins [21].

Protein spot in-gel digestion, identification, and prediction of protein function

Soybean leaf, stem, and root proteins with differential expression patterns (|ratio|≥2, P < 0.05) on gels were manually excised, washed three times with Millipore® pure water, and subjected to in-gel digestion and MALDI-TOF/TOF MS analysis, as described elsewhere [21,22]. The resulting peptide sequence data were submitted to the online MASCOT search engine (Matrix Science, London, U.K.) (http://www.phytozome.net/soybean) and queried against NCBInr databases [22].

The minimum requirements of our protein analysis were as follows: (i) at least three peptide sequences with identities higher than the threshold matched; and (ii)≧9% coverage of the total protein sequence by matching peptide-positive matches were BLASTP searched against the NCBI protein database (http://www.ncbi.nlm.nih.gov) for updated annotation and identification of homologous proteins [22, 23]. Some of the predicted cellular locations were determined using the Plant-PLoc version 2.0 (http://www.csbio.sjtu.edu.cn/bioinf/plant-multi/). STRING (http://www.string-db.org/) was used for predicting protein-protein interactions

Results

2-DE was used to screen for differentially expressed proteins that were associated with B. maydis infection. A total of 68 proteins were differentially expressed in the roots, stems, and leaves of soybeans at 72 h after inoculation. Some of these 68 proteins were similar to those of NHR components reported in previous studies, whereas others differed from those earlier described [9].

Sixteen proteins in soybean leaves were induce after exposure to B. maydis

Leaf proteomic analysis of soybean NHR was performed to determine the mechanism underlying the response of soybean plants to B. maydis. Approximately 1,300 ± 50 protein spots were separated on 2-DE gels (Fig 1).

Fig 1. Representative 2-DE gel pattern of soybean leaves at 72 h post-inoculation with B. maydis.

Fig 1

For isoelectric focusing, a total of 500 μg/600 μL proteins were loaded onto each 24-cm IPG strip (pH 4–7). This was followed by SDS-PAGE on a 12.5% gel and Coomassie staining. 2-DE maps of proteins from untreated control leaves or leaves treated with B. maydis are shown. Proteins differentially regulated in response to B. maydis were numbered in pairs of control and treatment maps. The MW (kDa) and pI of each protein was determined using a 2-DE marker.

The 18 protein spots showed significant changes (|ratio| > 2, P < 0.05). Among these, 16 proteins were further classified by using MALDI-TOF-MS as provided by AmiGO into five groups, including proteins related to metabolic processes, catalytic activity, developmental processes, cellular components (such as structural proteins), and defense response (Fig 1, Table 1). Eight of the nine metabolic proteins were located in chloroplasts. Of these, 6 proteins showed increased staining intensity and 2 proteins showed decreased staining intensity.

Table 1. Predicted functions and subcellular locations of soybean leaf proteins in response to B. maydis.

Spot No. (a) Up (+) /down (-) Ratio (b) Protein score SC (%) (c) PM (d) Mr(e) theoretical/ observed PI (f) theoretical/ observed Function (g) Species (h) GenBank Acc. No. (i) Predicted cellular location (j)
Metabolic process
23 + 2.8 180 32.93 6 26.77/31.1 6.21/5.14 Chlorophyll a-b binding protein 6A Chloroplastic-like Glycine max gi|356559472 Chloroplast
2 + 13.3 105 35.97 3 11.44/14.36 4.36/4.52 Unknown Glycine max gi|255626375 Chloroplast
15 + 4.4 487 76.97 12 20.23/23.2 8.87/6 Uncharacterized protein Glycine max gi|351725817 Chloroplast
39 + 2.0 289 38.87 9 32.5/36.84 5.93/5.32 Unknown Glycine max gi|255641907 Chloroplast
59 + 2.1 307 61.97 12 30.24/56.14 5.43/5.92 Unnamed protein product Glycine max gi|257670630 Chloroplast Mitochondrion
66 - 5.7 189 35.94 11 49.87/56.14 5.4/5.92 BAHD acyltransferase DCR-like Glycine max gi|356530840 Cytoplasm
77 - 5.6 178 43.94 16 52.39/66.01 5.26/5.38 4-hydroxy-3-methylbut-2-enyl diphosphate reductase-like Glycine max gi|356538819 Chloroplast
5 - 2.6 118 21.8 4 26.33/18.19 6.93/4.65 Ribulose-1,5-bisphosphate Carboxylase/oxygenase large subunit Glycine max gi|290586534 Chloroplast
44 + 4.1 583 56.42 23 53.03/50.09 6/5.58 Ribulose-1,5-bisphosphate carboxylase/oxygenase large subunit Glycine max gi|91214125 Chloroplast
Developmental process
34 + 2.5 422 55.26 10 35.27/23.52 6.66/5.37 Oxygen-evolving enhancer protein 1 Chloroplastic-like Glycine max gi|356559442 Chloroplast
Response to stimulus
13 + 7.7 1020 148.8 13 17.47/20.58 5.41/5.9 Unknown Glycine max gi|255626437 Cytoplasm
35 + 2.3 92 21.15 5 32.19/34.2 5.01/5.3 Acidic chitinase Glycine max gi|4835584 Vacuole
Cellular component organization or biogenesis
74 - 2.7 741 91.39 26 54.27/68.09 4.92/6.51 V-type proton ATPase subunit B 1-like isoform 2 Glycine max gi|356536394 Cytoplasm
75 + 2.6 352 62.97 16 54.29/70.09 4.95/5.13 V-type proton ATPase subunit B 2-like isoform 2 Glycine max gi|356568551 Cytoplasm
Defense response
21 + 2.1 179 64.29 6 18.25/22.11 6.12/5.08 Trypsin inhibitor Glycine max gi|9367042 Vacuole
Catalytic activity (molecular function)
17 + 9.2 320 52.35 6 16.40/15.69 6.91/5.19 Nucleoside diphosphate kinase Glycine max gi|26245395 Mitochondrion Nucleus

(a) Protein spots increased (+) or decreased (-) in staining intensity in response to B. maydis

(b) Ratio was equal to the relative expression of (Treatment / Control)

(c) SC, sequence coverage by PMF

(d) PM, number of peptides matched

(e) Theoretical molecular mass was from report of identification and NCBI database, and experimental molecular mass was observed from real 2-DE gel image combined with analysis of PDQuest software

(f) Theoretical isoelectric point was from reports and from the NCBI database; experimental isoelectric points were observed from real 2-DE gel images combined with analysis of PDQuest software

(g) Predicted function of the protein obtained via the MASCOT software from the NCBI database

(h) Species of the proteins obtained via the MASCOT software from the NCBI database

(i) GenBank Acc. No., accession number in NCBI database

(j) Plant-mPLoc: Predicting subcellular localization of plant proteins including those with multiple sites (predicted at the website: http://www.csbio.sjtu.edu.cn/bioinf/plant-multi/)

Nucleoside diphosphate kinase (here considered indicative of catalytic activity) was located in the nucleus, and its concentration increased by 9.2-fold. The spot representing the stress-response protein oxygen-evolving enhancer protein 1 increased in staining intensity [24]. The spots representing 2 defense proteins, including acidic chitinase and trypsin inhibitor, also increased in staining intensity, mainly in the vacuole. The intensity of spot 74, which represented the V-type proton ATPase subunit B 1-like isoform 2, showed a decrease in staining intensity in the cytoplasm, whereas that of its subunit, B 2-like isoform 2, increased (Table 1). Some of these differentially expressed proteins are involved in metabolic processes, developmental processes, organization of cellular components, and catalytic activity. Expression of these particular proteins in soybean leaves was induced in response to B. maydis, together with the production of acidic chitinase and trypsin inhibitor.

Twenty-five proteins were expressed in the stems of soybean plants in response to B. maydis

Several studies have documented that leaf and root proteomics can be used to interpret the responses of soybeans to biotic and abiotic stress [24]. However, the stem protein response to pathogens is remains elusive. Here, 72 hpi stem proteomic analysis was performed to produce a more systemic understanding of how the three major organs (roots, stems, and leaves) of soybean plants are involved in the responses to the non-adapted pathogen B. maydis. Approximately 1,000 ± 50 protein spots were separated on 2-DE gels (Fig 2).

Fig 2. Two DE patterns of stem proteins responding to B. maydis.

Fig 2

S7 and S2 show enlarged images of protein spots 7 and 2, which were differentially expressed under B. maydis stress conditions; “C” refers to the protein pattern dissolved on the control gel, and “T” to the protein pattern dissolved on the treatment gel. The differential abundance of proteins was read using the PDQuest software and is plotted as the relative intensity enumerated in E7 and E2. E7 and E2 represent the relative expression of protein spots 7 and 2 in the control and treatment groups. “C” also refers to the control, and “T” to treatment. S7/E7 and S2/E2 are representative images of the differentially expressed proteins in the stems of soybean plants.

Among these 26, 25 differentially expressed (|ratio| > 2, P < 0.05) proteins were successfully identified and sorted into five functional groups, including proteins associated with metabolic processes, cellular components, defense response, developmental processes, and molecular function (Table 2). Here, 48% of the stem proteins were determined to be involved in metabolic processes. The spots associated with half of these showed an increase in staining intensity with B. maydis infection, whereas half showed a decrease. Around 16% of the evaluated stem mitochondrial proteins showed a change in expression after infection, suggesting that NHR in soybeans is involved in significant energy consumption. Two of the mitochondrial proteins were related to heat shock 70, which is the protein chaperone that is responsible for the refolding and misfolding of proteins. A putative cysteine protease was grouped into the metabolic process group, although a previous study reported that it is involved in both developmental and pathogen-related PCD [25]. Protein spots 4, 8, and 19 had functional annotations similar to those of Hsp70, although these were classified in different functional groups and were predicted to localize to different locations (mitochondrion and chloroplast), which was consistent with the diverse locations and functions of Hsps. The staining intensity of spot 19 (Hsp 70) showed a 12-fold increase relative to that of the controls.

Table 2. Predicted functions and subcellular locations of soybean stem proteins responsive to B. maydis.

Number of spots (a) Up (+) /down (-) Ratio (b) Protein score SC (%) (c) PM (d) Mr(e) theoretical/ observed PI (f) theoretical/ observed Function (g) Species (h) Acc. no. (i) Predicted cellular location (j)
Metabolic process
1 - 2 116 35.43 4 14.27/25.56 4.13/4.11 C2 domain-containing protein At1g63220-like Glycine max gi|356522642 Cytoplasm
3 - 3 99 20.28 5 39.70/31.44 7.01/4.62 Putative cysteine protease Glycine max gi|149393486 Vacuole
8 - 2 182 27.88 14 73.38/72.28 5.37/4.73 Heat shock cognate 70 kDa protein 2-like Glycine max gi|356502432 Mitochondrion
9 - 6 551 41.03 27 93.29/84.63 4.86/4.9 Endoplasmin homolog Glycine max gi|356564371 Endoplasmic reticulum
10 + 3 336 64.75 14 33.79/31.41 5.84/5.18 Isopentenyl-diphosphate Delta-isomerase Glycine max gi|356531894 ChloroplastNucleus
16 + 2 543 47.52 18 54.53/51.75 5.89/5.54 Mitochondrial-processing peptidase subunit alpha-like Glycine max gi|356522822 Mitochondrion
18 + 2 1030 95.05 25 47.91/48.5 5.49/5.76 Enolase-like Glycine max gi|356505318 Cytoplasm
19 + 12 484 42.84 24 72.68/69.06 5.82/5.53 Heat shock 70 kDa protein Glycine max gi|356524786 Mitochondrion
21 + 3 84 11.08 3 38.34/40.41 5.3/5.83 Adenosine kinase 2-like Glycine max gi|356505238 Mitochondrion
22 - 2 192 25.26 5 33.13/33.89 6.14/6.52 Uncharacterized protein LOC100781644 Glycine max gi|356563399 Cell wallCytoplasm
25 - 3 436 18.45 7 22.92/23.69 9.1/6.89 Peptidyl-prolyl cis-trans isomeraseCYP20-2, chloroplastic-like isoform 2 Glycine max gi|356576933 ChloroplastEndoplasmic reticulum
13 + 2 233 62.95 12 30.81/31.24 5.9/5.58 Carbonic anhydrase, chloroplastic-like Glycine max gi|356501896 Chloroplast
Cellular component
2 - 3 98 25.7 4 23.77/24.03 5.55/4.62 Uncharacterized protein LOC100305490 Glycine max gi|351727673 Chloroplast
11 - 3 112 20.00 7 55.78/57.38 5.15/5.14 ATP synthase CF1 alpha subunit Glycine max gi|91214148 Chloroplast
14 + 10 259 59.75 14 35.30/40.1 5.47/5.54 Probable carboxylesterase 2-like Glycine max gi|356521488 Nucleus
17 + 2 366 46.25 15 46.56/51.98 5.61/5.7 26S protease regulatory subunit 6B homolog Glycine max gi|356539717 CytoplasmNucleus
24 - 6 396 51.01 6 16.49/14.48 5.93/6.85 Nucleoside diphosphate kinase Glycine max gi|351720837 Nucleus
Defense response
4 - 4 346 37.56 17 71.20/72.59 5.1/4.59 Heat shock cognate 70 kDa protein-like Glycine max gi|356569000 Chloroplast
6 - 2 743 56.86 11 29.00/29.76 6.34/4.8 Unknown Glycine max gi|255644428 Chloroplast
12 + 4 472 96.95 10 17.20/23.8 5.61/5.66 Unknown Glycine max gi|255628729 Chloroplast
20 + 3 847 141.35 13 17.50/17.73 5.64/5.97 Unnamed protein product Glycine max gi|227247706 Cytoplasm
23 - 3 522 55.43 11 36.88/39.24 8.18/6.49 Malate dehydrogenase 1 mitochondrial-like Glycine max gi|356543225 Mitochondrion
26 - 2 459 36.52 10 36.20/39.53 8.22/6.86 Malate dehydrogenase mitochondrial-like Glycine max gi|356517066 Mitochondrion
Developmental process
7 + 11 834 79.46 16 35.27/28.73 6.66/4.87 Oxygen-evolving enhancer protein 1 chloroplastic-like Glycine max gi|356559442 Chloroplast
Molecular_function
15 + 3 476 60.87 18 42.25/42.22 5.52/5.66 Alpha-1,4-glucan-protein synthase Glycine max gi|356495127 Golgi apparatus

(a) Protein spots increased (+) or decreased (-) in staining intensity in response to B. maydis

(b) Ratio was equal to the relative expression of (Treatment / Control)

(c) SC, sequence coverage by PMF

(d) PM, number of peptides matched

(e) Theoretical molecular mass was from report of identification and NCBI database, and experimental molecular mass was observed from real 2-DE gel image combined with analysis of PDQuest software

(f) Theoretical isoelectric point was from reports and from the NCBI database; experimental isoelectric points were observed from real 2-DE gel images combined with analysis of PDQuest software

(g) Predicted function of the protein obtained via the MASCOT software from the NCBI database

(h) Species of the proteins obtained via the MASCOT software from the NCBI database

(i) GenBank Acc. No., accession number in NCBI database

(j) Plant-mPLoc: Predicting subcellular localization of plant proteins including those with multiple sites (predicted at the website: http://www.csbio.sjtu.edu.cn/bioinf/plant-multi/)

This phenomenon indicates that NHR in soybean is related to protein functional diversity. Protein spot 10 (isopentenyl-diphosphate delta-isomerase), protein spot 17 (26S protease regulatory subunit 6B homolog), and protein spot 25 (peptidyl-prolyl cis-trans isomerase CYP20-2, chloroplastic-like isoform 2) were predicted to have more than one subcellular location. Protein spot 7 (oxygen-evolving enhancer protein 1, chloroplastic-like) was found to have been caused by the same protein as leaf protein spot 34, which showed a 2.5-fold increase in expression in leaves and a 11-fold increase expression in stems. This finding suggests that protein spot 34 might play an important role in soybean response to B. maydis. The staining intensity of protein spot 14 increased by 10-fold and that of protein spot 24 decreased by 6-fold in the nuclei of soybean stems. All 25 stem proteins were predicted in various important subcellular locations, including the nucleus, cytoplasm, endoplasmic reticulum, Golgi apparatus, vacuole, chloroplast, and mitochondrion, which indicated that the response proteins might include proteins related to metabolism.

Root proteins activate metabolic processes in response to B. maydis challenge on leaves

We investigated the patterns of root protein expression in response to B. maydis challenge on leaves (Fig 3).

Fig 3. Two-DE map of root proteins responding to B. maydis.

Fig 3

S1 and S15 were zoomed in the protein spot 1 and spot 15 differentially expressed under the B. maydis stress; “C” refers to the protein spot excised from the control gel, and “T” refers to the protein spot excised from the treatment gel. The differential abundance of proteins was determined using the PDQuest software and was plotted as the relative intensity enumerated as ES1 and ES15. ES1 and ES15 represent the relative expression between control and treatment of protein spot 1 and spot 15, “C” means control, and “T” indicates treatment. S1/ES1 and S15/ES15 are representative differentially expressed root proteins.

Almost 1,000 proteins were detected in the CSS gel using PDQuest software 7.4, and all replicate gels showed highly similar distribution patterns in the 2-DE images. Around 25 proteins were differentially expressed (|ratio|≥2, P < 0.05). Overall analysis revealed that out of all the protein spots that matched in the treatment and control groups, 39% showed increased intensity and 61% presented a decrease in intensity. Twenty-three of these differentially expressed proteins were successfully identified in six functional groups, including proteins related to metabolic processes, cellular components, regulation of cellular processes, transmembrane transport, defense response, and molecular function (Table 3). These proteins were detected in the nucleus, cytoplasm, cell wall, cell membrane, mitochondrion, and Golgi apparatus of root cells in response to a B. maydis challenge on leaves, which might contribute to the multiple NHR responses to non-adapted pathogens.

Table 3. Proteins in soybean roots in response to the challenge of B. maydis on leaves.

No. of spots Up (+)/down (-) Ratio Protein score SC (%) PM Species Acc. no. Protein name Predicted cellular location
Metabolic process
1 + 2.7 923 69.6 12 Glycine max gi|356516563 Elongation factor 1-delta-like Mitochondrion
4 + 2.2 262 32.3 7 Glycine max gi|255646685 Unknown Chloroplast
5 + 2.4 502 57.9 8 Glycine max gi|351723871 Chalcone isomerase 4-like Chloroplast
8 + 2.1 639 37.8 8 Glycine max gi|356507848 Proteasome subunit beta type-6-like Nucleus
17 - 2.5 322 34.3 9 Glycine max gi|356516166 Caffeic acid 3-O-methyltransferase-like isoform 1 Chloroplast
19 + 16.7 527 47.6 15 Glycine max gi|356543373 elongation factor 1-gamma-like Cytoplasm
22 + 2.4 721 50.0 16 Glycine max gi|356509324 Alcohol dehydrogenase 1-like Cytoplasm
24 - 2.4 519 68.2 14 Glycine max gi|356505332 Fructose-bisphosphate Aldolase,cytoplasmic isozyme Cytoplasm
25 + 33.1 500 21.3 9 Glycine max gi|351721496 Copper amino oxidase precursor Cell wall
Cellular component
9 - 2.1 694 67.9 16 Glycine max gi|1498340 Actin Cytoplasm
10 - 3.7 432 45.1 12 Glycine max gi|255641658 Unknown Cytoplasm
11 - 3.6 364 42.3 11 Glycine max gi|356509393 L-ascorbate peroxidase T, chloroplastic-like isoform 1 Chloroplast Mitochondrion
18 - 2.9 666 39.7 15 Glycine max gi|356532109 2,3-bisphosphoglycerate-independent phosphoglycerate mutase-like Cytoplasm
Regulation of cellular process
2 - 6 112 57.4 3 Glycine max gi|356560765 Cnkyrin repeat domain-containing protein 2-like Chloroplast
3 - 2.1 276 30.8 7 Glycine max gi|356566211 Proliferating cell nuclear antigen-like Nucleus
21 - 2.1 498 64.6 11 Glycine max gi|356537146 Ubiquitin-conjugating enzyme E2 variant 1D-like Nucleus
Transport
6 + 2.2 207 38.0 7 Glycine max gi|356556130 Plasma membrane-associated cation-binding protein 1-like Cell membrane
Response to stimulus (defense response)
12 - 2.9 219 9.29 2 Glycine max gi|359807323 Uncharacterized protein LOC100814078 Chloroplast. Mitochondrion
14 - 3.8 700 75.3 9 Glycine max gi|351724985 Uncharacterized protein LOC100499771 Cytoplasm
16 - 3 458 36.7 11 Glycine max gi|356538212 Isoflavone reductase-like Cytoplasm
20 + 3.5 930 44.3 30 Glycine max gi|351726848 Seed linoleate 9S-lipoxygenase Cytoplasm
Catalytic activity (molecular function)
13 - 3.4 366 48.9 14 Glycine max gi|356495127 Alpha-1,4-glucan-protein synthase [UDP-forming]-like Golgi apparatus
23 - 2.8 323 29.2 8 Glycine max gi|356505967 Auxin-induced protein PCNT115-like isoform 2 Chloroplast

Protein spots 1 and 19 were identified as elongation factor 1-delta-like (2.7-fold increase) and elongation factor 1-gamma-like (16.7-fold increase) proteins, which were predicted to localize to the mitochondrion and cytoplasm, respectively. This indicated that the metabolic processes related to protein synthesis in soybean roots might be different in response to B. maydis.

Protein spot 25, which is a copper amino oxidase precursor, showed a significant increase in intensity (33.1-fold) in soybean root organs. Chalcone isomerase 4-like, proteasome subunit beta type-6-like, and alcohol dehydrogenase 1-like proteins are related to flavone and alcohol metabolic processes, showed an increase in spot intensity in response to B. maydis, which indicated that several proteins in the roots might be bifunctional under stress conditions.

The spot intensities of proliferating cell nuclear antigen-like and auxin-induced protein decreased, suggesting that the soybean root cells underwent a reduction in growth to increase its defense response to the infection. On the other hand, the intensity of protein spot 8, which is related to a protease, increased. This finding indicated that the protein degradation process also increased in response to B. maydis (Table 3).

In summary, almost all of the plant cell organelles were predicted to respond to the B. maydis challenge on leaves, and the biological processes involved in growth and development were possibly bifunctional.

Discussion

Competitive and facilitative interactions among different plant species have played major roles in shaping natural communities. For decades, this principle has been employed to increase crop yield [26, 27]. Plants sense their environments using chemicals, touch, and light [26, 27]. In maize/soybean intercropping systems, the transfer of B. maydis spores from maize to soybeans is a common occurrence. There have been several reports of interactions between maize and soybeans, and these have been extensively used to increase yield or improve soil fertility. However, there has been no report discussing the interactions between soybeans and B. maydis, which often come into contact in ecological networks involving maize and soybean intercropping systems. Therefore, the findings of the present study not only offer new insights into NHR in the soybean response to B. maydis, but also into the positive interactions mediated by B. maydis between soybeans and maize. This is the first detailed study on how B. maydis mediates interactions between maize and soybeans.

Whole-plant resistance is invoked in almost all of cellular components of the soybean plant

Although B. maydis was sprayed only onto the leaves of the soybean plants, proteins of the stem and roots also responded to this particular stimulus (Figs 1, 2, 3 and 4). These results suggest that the response of soybeans to B. maydis may not be limited to the site of exposure, and that the signal of the stimulus could be transmitted to remote organs. The level of expression of several proteins was reprogrammed far from the site of inoculation. Only one pair of root and stem protein spots consisted of the same protein, e.g., S (stem) 15 and R (root) 13, an alpha-1,4-glucan-protein synthase [UDP-forming] homolog. Two pairs of stem and leaf protein spots (L17 and S24) comprised the same protein, the NDK homolog. Leaf protein spot (L34) and stem protein spot (S7) contained an oxygen-evolving enhancer protein homolog. However, there was no protein overlap between leaves and roots. These results suggest that roots, stems, and leaves of soybeans could differentially respond to B. maydis challenge on leaves, which could render a whole plant resistant to B. maydis. Thus, almost all of the metabolic proteins were triggered in almost all subcellular structures. These included the cell wall, cell membrane, cell skeleton, cytoplasm, chloroplasts, mitochondria, nucleus, Golgi apparatus, and endoplasmic reticulum (Fig 4A). This is the first report to find evidence of a multiple-responsive NHR in soybeans against B. maydis, a pathogenic fungus of a phylogenetically distant crop.

Fig 4. Proteins responsive to B. maydis and its predicted multiple subcellular locations.

Fig 4

A) A conceptual diagram of a systematic NHR of soybean against B. maydis. H2O2 production and callose deposition were processed upon the interaction between soybean and B. maydis starting at the cell wall of soybean. The subcellular locations of the differentially expressed proteins were predicted. Changed proteins are shown in italics, and the organelle is written in blue. For instance, Hsp 70 was predicted to exist in chloroplasts and mitochondria. All of the major organelles responded to B. maydis. B) Venn diagram representing the differentially expressed proteins found in the leaves, stems, and roots of soybean plants. An L, S, or R character was placed before the spots (corresponding to the 2-DE pattern) corresponding to leaf, stem, and root proteins. Two pairs of leaf and stem protein spots were attributed to the same protein, L17 and S24, and L34 and S7. There was only one pair of stem and root protein spots that was attributed to the same protein, S15 and R13. However, no protein overlap between leaf and root was detected.

Proteins involved in NHR in soybean overlapped with metabolic proteins

NHR is strongly associated to basic plant metabolism, and host pathogens are known to target such primary metabolic pathways to establish virulence [2]. The results of the present study showed that proteins related to metabolic processes could be co-induced in response to non-adapted pathogens. For example, the ability of soybean plants to cope with B. maydis stress depends on a number of changes in their proteins, which the present study has determined to be reprogrammed after inoculation of B. maydis on leaves, and the changes remained in effect until at least 72 hpi. Several metabolic proteins in the leaves, stems, and roots of soybeans were invoked in response to B. maydis. Most of these proteins had essential functions, either in the regulation of the response, or in the metabolic process, allowing plants to survive and recover from the stresses [17].

The leaf protein RuBisCO operates as a metabolic branch point, channeling carbon either to the photosynthetic carbon fixation (Calvin–Benson) cycle or to the photorespiratory pathway. It is the most abundant protein in green plant tissues and is a bifunctional enzyme [28, 29]. Its most common form (type I presents in cyanobacteria, green algae, and higher plants) is composed of eight chloroplast-gene-encoded large subunits (~55 kDa) and eight nuclear gene-encoded small subunits (~15 kDa) [28, 29]. Two protein spots were identified as RuBisCO large subunits, which suggested that soybean photosynthesis was reprogrammed under B. maydis stress conditions.

BAHD acyltransferase catalyzes the acylation of various plant secondary metabolites [30]. The decrease in intensity of BAHD acyltransferase DCR-like (spot 66 in leaf) protein suggests that the metabolites were inhibited under B. maydis stress.

The intensity of the spot attributable to 4-hydroxy-3-methylbut-2-enyl diphosphate reductase (HDR) f-like protein decreased in response to B. maydis, which is also involved in a pivotal secondary metabolite process in NHR in soybeans (spot 77 in Table 1). Plant isoprenoids are involved in several key biological processes, including membrane fluidity, photosynthesis, growth regulation, cell division, communication, and defense response [31, 32]. Gene knockout has demonstrated that HDR activity is not only essential to Escherichia coli growth, but also plays a key role in plant isoprenoid biosynthesis [3335]. Decreases in the intensity of leaf HDR and BAHD proteins suggests that B. maydis stress inhibited the metabolic processes of soybeans or some decrease in fitness is needed for the soybeans to resist B. maydis, although no visible symptoms have been detected.

There are many families of cysteine proteases in stems. These are also known as thiol proteases. Among these, C1A cysteine protease is the most abundant enzyme and is responsible for protein degradation during plant senescence [36]. Dozens of lattices from different plant families are known to contain cysteine proteases [37]. Several of these plant proteases accumulate in the central vacuole, from which these can be released as programmed cell death stimuli or other stress cues [25, 38]. These vacuole-localized proteases belong to the C1A family of cysteine proteases and are involved in both developmental and pathogen-related PCD [25]. Stem (spot 16) mitochondrial processing peptidase (MPP; EC 3.4.24.64) is a heterodimeric enzyme that plays a pivotal role in mitochondrial protein import. MPP is integrated into a protein complex of the respiratory chain in plants, and plays an essential role in proteolytical processing [39, 40]. The increase in the intensity of spots attributable to the production of subunits of MPP might be due to the NHR of soybean.

Heat shock proteins (Hsps) are molecular chaperones that facilitate proper protein folding and function in almost all organisms. These are classified into families based on their molecular weight: Hsps include Hsps 40, 60, 70, 90, and 100 [41]. In this present study, some Hsps were detected in either the chloroplasts or mitochondria. Stress often increases the number of unfolded proteins in the cytosol. The unfolded proteins require more molecular chaperones for re-folding, which makes the stressed cell more dependent upon the Hsps than unstressed cells [41]. In the present study, Hsp 70 was detected in stem protein 19, and it showed the most pronounced increase in spot intensity of any protein in the mitochondria (12-fold), which suggested that stem proteins were involved in the response to B. maydis.

The eukaryotic translation elongation factor plays an important role in translation elongation. The accumulation of maize chloroplast protein synthesis elongation factor has been reported to alleviate heat stress [42]. Elongation factor 1-delta-like protein was identified in root spot 1 (intensity increased by 2.7-fold) and elongation factor 1-gamma-like protein was found in root spot 19 (increased by 16.7-fold). Both were highly expressed in root cells, which suggested that the high level accumulation of elongation factor might be good evidence that new proteins are produced in soybean roots in response to exposure to the non-adapted pathogen B. maydis.

Protein spot 8 was attributed to root proteins related to increased protease concentration. This suggested that the protein degradation process also increased in response to B. maydis (Table 3), which suggested that protein processing occurred in the root organs of soybeans.

Some major metabolic processes such as photosynthesis, acylation of plant secondary metabolites, synthesis and degradation of proteins, and protein refolding, were determined to be involved in soybean NHR against B. maydis. Therefore, soybean plants can undergo NHR in response to resistant B. maydis at the expense of metabolism-related proteins.

Analysis of the interactions among 64 proteins differentially expressed in the roots, stems, and leaves of soybeans in response to B. maydis provided further bioinformatic evidence of the overlap between metabolism and stimulus response. This analysis was performed using STRING (Fig 5). The results suggested that ~80% of proteins were involved in metabolic processes (P = 1.070e -10) and response to stimulus (P = 3.970e -10). For example, LOS2 is a copper ion binding/phosphopyruvate hydratase. It encodes an enolase that is involved in light-dependent cold tolerance. Its protein is tyrosine-phosphorylated and its phosphorylation state is modulated in response to ABA in Arabidopsis thaliana seeds (www.string.db.org) (Fig 5). BLAST analysis using the Arabidopsis DB was performed. These proteins belonged to both the response pathway and biological processes. This theoretical overlap of metabolism and defense processes was consistent with the observed overlap between metabolic and defense processes (Fig 4, Tables 13).

Fig 5. Arabidopsis DB-based BLAST analysis of the interaction network of 64 differentially expressed proteins in the roots, stems, and leaves of soybean plants in response to B. maydis.

Fig 5

GO analysis indicated that the 38 red nodes in A might be involved in metabolic processes (P value = 1.070e −10). Another 35 red nodes in B were involved in stimulus response (P value = 3.970e −10). Thirty proteins belonged to the both metabolic process and response to stimulus, which suggested that the same protein could perform different functions in soybean plants in response to B. maydis stress.

Defense-related proteins in response to B. maydis

In addition to co-induction of metabolic proteins against B. maydis, NHR in soybeans also activates defense-related proteins in response to B. maydis. Chitinases expressed during plant-pathogen interactions are associated with plant defense against pathogens, which can catalyze polychitin molecules that are present in the cell walls of most fungi and homologues in plant-pathogen interactions [43]. Plants possess a large reservoir of protease inhibitor (PI) genes, which have been proposed to act as storage proteins, regulators of endogenous proteases, and most notably in defense against herbivores. They have potent applications in resistant crop breeding [44]. However, an Ecc licitor-induced Kunitz trypsin inhibitor gene (AtKTI1) encoding a functional Kunitz type PI protein was isolated in Arabidopsis, and demonstrated that the PI protein played a regulatory role in PCD antagonizing pathogen and FB1-induced cell death [44]. In the present study, the expression of the trypsin inhibitor and acidic chitinase increased in the vacuoles of soybean leaf cells, which indicated that these played key roles in NHR of soybeans to B. maydis.

Malate dehydrogenases (MDHs) often use malate or oxaloacetate as substrates to generate pyruvate and preferentially utilize NADP or NAD as cofactors. These differ in their subcellular localization among and within species [45]. The function and regulation of MDH in animals are specifically associated with cell differentiation and proliferation, ontogenic development, hormonal control, and diseases [45]. Stem protein spots 23 and 24 were identified as malate dehydrogenases (MDHs), which suggested that these might play a role in soybean NHR against B. maydis and provide new insights into their regulatory function beyond their classical role in basic metabolism.

Isoflavone reductase is an enzyme associated with isoflavonoid biosynthesis in plants, and its overexpression of rice isoflavone reductase-like gene (OsIRL) causes tolerance to reactive oxygen species, thus indicating that rice isoflavone reductase plays an essential role in maintaining the levels of ROS [46]. Root protein spot 16 was identified as soybean isoflavone reductase-like protein, which might be involved in NHR of soybean to B. maydis.

Cell-wall-associated kinases (WAKs 1–5) and their isoforms have been shown to functionally mediate differential signals from the extracellular matrix to the cells [47]. Oxygen evolving enhancer protein 1 (OEE1) is a chloroplast protein that acts as an auxiliary component of the photosystem II manganese cluster. A previous study has shown that OEE2 interacts with and acts as a substrate for WAK1, and is phosphorylated via the action of AtGRP-3 [47]. Phosphorylation of OEE2 is also induced in Arabidopsis by exposure to the avirulent Pseudomonas syringae. OEE2 is downstream of AtGRP-3/WAK1, and may be involved in defense signaling [47, 48]. OEE1 was upregulated 11-fold in this present study (stem spot 7 and upregulated 2.5-fold in leaf protein spot 34), which suggested that strong defense signaling had been taking place in the soybean cells under the B. maydis stress conditions. In addition, Ning’s results showed that OEE played an important role in photosynthesis and stress resistance for plants [49]. Its subcellular location was predicted in chloroplasts.

Similarity and differences of NHR in soybean and other plants

The proteomic basis of NHR in the soybean response to B. maydis, a pathogen affecting remotely related species, was assessed. Results showed the soybean NHR response to have many similarities to that of other plants such as callose deposition and H2O2 production [9]. The basic biological processes involved in soybean NHR against B. maydis, including some vital metabolic components for plant growth and development such as RuBisCO, BAHD, and OEE were different from the NHRs of other plants. Soybean NHR involved almost all of the organelle (Fig 4, Table 4); this is the first work to indicate the involvement of NHR in organelles.

Table 4. Predicted locations of differentially expressed proteins in soybean to B. maydis.

Organ Predicted location
Chloroplast Cytoplasm Nucleus Vacuole Endoplasmic reticulum Golgi apparatus Mitochondrion Cell wall Cell membrane
Leaf 8 4 1 2 0 0 0 0 0
Stem 7* 3 2 1 1 1 6 0 0
Root 5* 9 3 0 0 1 1 1 1

Some proteins are predicted in multiple locations, which could be located in chloroplast and mitochondrion.

These results have allowed us to propose a hypothesis relating to soybean NHR, which affected almost all of the organelles in the cells of soybean plants (Fig 4 and Table 4). Soybean NHR against B. maydis is a type I nonhost resistance. Unlike host resistance that is mediated by the products of plant resistance genes (R), which involves pathogen-race- or plant-cultivar-specific interaction [9], the soybean NHR involved multiple-gene resistance, which involved multiple biological process, cellular components, and molecular functions in response to non-adapted pathogens. This may explain why a pathogen that is virulent to one plant species is nonpathogenic to another. These results could not only be used in intercropping systems involving soybeans but also in rotations involving nonhost plants in an agroecosystem.

A preliminary conclusion can be drawn from the results of the present study. Soybeans can respond to B. maydis stimulus and this involves almost all subcellular structures and major metabolic processes and multiple-gene resistance through reprogramming far from the site of inoculation. This response included multiple biological processes, cellular components, and molecular functions. Some major proteins such as RuBisCO, BAHD, NDK, and OEE were involved in NHR in soybean and overlapped with metabolic proteins. Proteins related to metabolic processes were co-induced in response to non-adapted pathogens, which differs from the results of previous studies of NHR [1–3; 8–10; 12–13]. Similarly, the expression of acidic chitinases, protease, and Kunitz type PI (protease inhibitor) proteins changed in the vacuoles of soybean leaf cells, which indicated that these played major roles in NHR of soybeans to B. maydis. This is the first report to find evidence for a multiple-responsive NHR in soybeans against B. maydis, a pathogenic fungus of a phylogenetically distant crop. These findings may offer insights into the microbe-mediated interactions between plant species, which play a basic role in shaping natural communities and crop yields [26, 27]. However, identification of the associations among the systematic responses and assessment of resistance at multiple levels in soybeans require further investigation.

Supporting Information

S1 Fig. Cytological stress response indicated via H2O2 production.

H2O2 in situ leaves of soybean seedlings exposed to B. maydis, DAB was allowed to react with H2O2, producing a brown polymerization product in the presence of peroxidases. Hyphae (HY) germinated from the conidia (CO) might be delimited by H2O2 production. The color mainly appeared oriented to the position localized by the interaction between soybean leaves and B. maydis. Bars are 20 μm in A and B. The microscope and software used for image handling were LEICA DM2000 and Adobe Photoshop 7.0.1.

(TIF)

S2 Fig. 2-DE map of control soybean stem proteins.

(TIF)

S3 Fig. 2-DE map of treated soybean stem proteins.

(TIF)

S4 Fig. 2-DE map of control soybean leaf proteins.

(TIF)

S5 Fig. 2-DE map of soybean leaf proteins.

(TIF)

Acknowledgments

We would like to thank Dr. Zhao Zhenglong of the Yunnan Agricultural University Department of Plant Protection for the preparation of B. maydis isolates. We would also like to thank Prof. Fullen Michael of the University of Wolverhampton, U.K. and Dr. Meng Dong of China Agricultural University, China for their linguistic assistance during the preparation of this manuscript, and LetPub for linguistic assistance during the revision.

Data Availability

All relevant data are within the paper and its Supporting Information files.

Funding Statement

This study was financially supported by the 973 Program (2011CB100400) of the Ministry of Science and Technology of China.

References

  • 1. Lee HA, Kim SY, Oh SK, Yeom SI, Kim SB, Kim MS, et al. Multiple recognition of RXLR effectors is associated with nonhost resistance of pepper against Phytophthora infestans. New Phytol. 2014; 203(3): 926–38. 10.1111/nph.12861 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2. Senthil-Kumar M, Mysore KS. Nonhost resistance against bacterial pathogens: retrospectives and prospects. Annu Rev Phytopathol. 2013;51:407–27. 10.1146/annurev-phyto-082712-102319 [DOI] [PubMed] [Google Scholar]
  • 3. Lipka U, Fuchs R, Kuhns C, Petutschnig E, Lipka V. Live and let die-Arabidopsis nonhost resistance to powdery mildews. Eur J Cell Biol. 2010; 89(2–3): 194–9. 10.1016/j.ejcb.2009.11.011 [DOI] [PubMed] [Google Scholar]
  • 4. Luo Q, Yu B, Liu Y. Differential sensitivity to chloride and sodium ions in seedlings of Glycine max and G. soja under NaCl stress. J Plant Physiol. 2005; 162: 1003–1012. [DOI] [PubMed] [Google Scholar]
  • 5. Yang M, Zhang Y, Qi L, Mei X, Liao J, Ding X, et al. Plant-plant-microbe mechanisms involved in soil-borne disease suppression on a maize and pepper intercropping system. PLoS One. 2014; 9(12):e115052 10.1371/journal.pone.0115052 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6. Li C, He X, Zhu S, Zhou H, Wang Y, Li Y, et al. Crop Diversity for Yield Increase PLoS ONE. 2009; 4(11): e8049 10.1371/journal.pone.0008049 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7. Dong YM, Pan MH, Zhao ZL, Yang M, Li CY, He XH. Callose deposition in the leaf cells associated with induced resistance of Glycine max to Bipolaris maydis. Journal of Yunnan Agricultural University. 2013; 38(1): 16–20. [Google Scholar]
  • 8. Heath MC. Nonhost resistance and nonspecific plant defenses. Current opinion in plant biology. 2000; 3(4): 315–319. [DOI] [PubMed] [Google Scholar]
  • 9. Cheng Y, Zhang H, Yao J, Wang X, Xu J, Han Q, et al. Characterization of non-host resistance in broad bean to the wheat stripe rust pathogen. BMC Plant Biol. 2012; 12: 96 10.1186/1471-2229-12-96 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10. Yun BW, Atkinson HA, Gaborit C, Greenland A, Read ND, Pallas JA, et al. Loss of actin cytoskeletal function and EDS1 activity, in combination, severely compromises non-host resistance in Arabidopsis against wheat powdery mildew. Plant J. 2003; 34(6): 768–77. [DOI] [PubMed] [Google Scholar]
  • 11. Zheng MS, Takahashi H, Miyazaki A, Hamamoto H, Shah J, Yamaguchi I, et al. Up-regulation of Arabidopsis thaliana NHL10 in the hypersensitive response to cucumber mosaic virus infection and in senescing leaves is controlled by signalling pathways that differ in salicylate involvement. Planta. 2004; 218: 740–750. [DOI] [PubMed] [Google Scholar]
  • 12. Zimmerli L, Stein M, Lipka V, Schulze-Lefert P, Somerville S. Host and non-host pathogens elicit different jasmonate/ethylene responses in Arabidopsis. Plant J. 2004; 40: 633–646. [DOI] [PubMed] [Google Scholar]
  • 13. Mysore KS, Ryu CM. Nonhost resistance: how much do we know? Trends in plant science. 2004; 9(2): 97–104. [DOI] [PubMed] [Google Scholar]
  • 14. Kim MY, Lee S, Van K, Kim TH, Jeong SC, Choi IY, et al. Whole-genome sequencing and intensive analysis of the undomesticated soybean (Glycine soja Sieb. and Zucc.) genome. Proc Natl Acad Sci USA. 2010; 107(51): 22032–7. 10.1073/pnas.1009526107 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Li YH, Zhou G, Ma J, Jiang W, Jin LG, Zhang Z, et al. De novo assembly of soybean wild relatives for pan-genome analysis of diversity and agronomic traits Nature Biotechnology 2014; 32: 1045–1052. 10.1038/nbt.2979 [DOI] [PubMed] [Google Scholar]
  • 16. Acero FJ, Carbú M, El-Akhal MR, Garrido C, González-Rodríguez VE, Cantoral JM. Development of proteomics-based fungicides: new strategies for environmentally friendly control of fungal plant diseases. Intern J Mol Sci. 2011; 12(1): 795–816. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17. Hakeem KR, Chandna R, Ahmad P, Iqbal M, Ozturk M. Relevance of proteomic investigations in plant abiotic stress physiology. OMICS 2012; 16(11): 621–35. 10.1089/omi.2012.0041 [DOI] [PubMed] [Google Scholar]
  • 18. Quach TN, Tran LS, Valliyodan B, Nguyen HT, Kumar R, Neelakandan AK, et al. Functional Analysis of Water Stress-Responsive Soybean GmNAC003 and GmNAC004 Transcription Factors in Lateral Root Development in Arabidopsis. PLoS ONE. 2014; 9(1): e84886 10.1371/journal.pone.0084886 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19. Wang X, Ma J, Li X, Zhao X, Lin Z, Chen J, et al. Optimization of chemical fungicide combinations targeting the maize fungal pathogen, Bipolaris maydis: a systematic quantitative approach. IEEE Trans Biomed Eng. 2015; 62(1): 80–7. [DOI] [PubMed] [Google Scholar]
  • 20. Bradford MM. A rapid and sensitive method for the quantitation of microgramquantities of protein utilizing the principle of protein-dye binding. Anal Biochem. 1976; 72: 248–54. [DOI] [PubMed] [Google Scholar]
  • 21. Komatsu S, Makino T, Yasue H. Proteomic and biochemical analyses of the cotyledon and root of flooding-stressed soybean plants. PLoS One. 2013; 8(6): e65301 10.1371/journal.pone.0065301 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22. Hossain Z, Makino T, Komatsu S. Proteomic study of β-aminobutyric acid-mediated cadmium stress alleviation in soybean. J Proteomics. 2012; 75(13): 4151–64. 10.1016/j.jprot.2012.05.037 [DOI] [PubMed] [Google Scholar]
  • 23. Komatsu S, Nanjo Y, Nishimura M. Proteomic analysis of the flooding tolerance mechanism in mutant soybean. J Proteomics 2013; 79: 231–50. 10.1016/j.jprot.2012.12.023 [DOI] [PubMed] [Google Scholar]
  • 24. Sobhanian H, Razavizadeh R, Nanjo Y, Ehsanpour AA, Jazii FR, Motamed N. Proteome analysis of soybean leaves, hypocotyls and roots under salt stress. Proteome Sci. 2010; 8:19 10.1186/1477-5956-8-19 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25. Van der Hoorn RA. Plant proteases: from phenotypes to molecular mechanisms. Annu. Rev. Plant Biol. 2008; 59: 191–223. 10.1146/annurev.arplant.59.032607.092835 [DOI] [PubMed] [Google Scholar]
  • 26. Gagliano M, Renton M, Duvdevani N, Timmins M, Mancuso S. Out of sight but not out of mind: alternative means of communication in plants. PLoS One. 2012;7(5):e37382 10.1371/journal.pone.0037382 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27. Gagliano M, Renton M. Love thy neighbour: facilitation through an alternative signalling modality in plants. BMC Ecol. 2013,13:19 10.1186/1472-6785-13-19 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28. García-Murria MJ, Karkehabadi S, Marín-Navarro J, Satagopan S, Andersson I, Spreitzer RJ, et al. Structural and functional consequences of the replacement of proximal residues Cys(172) and Cys(192) in the large subunit of ribulose-1,5-bisphosphate carboxylase/oxygenase from Chlamydomonas reinhardtii. Biochem J. 2008; 411(2): 241–7. [DOI] [PubMed] [Google Scholar]
  • 29. Widjaja I, Naumann K, Roth U, Wolf N, Mackey D, Dangl JL, et al. Combining subproteome enrichment and Rubisco depletion enables identification of low abundance proteins differentially regulated during plant defense. Proteomics. 2009; 9 (1): 138–47. 10.1002/pmic.200800293 [DOI] [PubMed] [Google Scholar]
  • 30. Grienenberger E, Besseau S, Geoffroy P, Debayle D, Heintz D, Lapierre C, et al. A BAHD acyltransferase is expressed in the tapetum of Arabidopsis anthers and is involved in the synthesis of hydroxycinnamoyl spermidines. Plant J. 2009; 58(2): 246–59. 10.1111/j.1365-313X.2008.03773.x [DOI] [PubMed] [Google Scholar]
  • 31. Bouvier F, Rahier A, Camara B. Biogenesis, molecular regulation and function of plant isoprenoids. Prog Lipid Res. 2005; 44: 357–429. [DOI] [PubMed] [Google Scholar]
  • 32. Ramos AA, Marques AR, Rodrigues M, Henriques N, Baumgartner A, Castilho R, et al. Molecular and functional characterization of a cDNA encoding 4-hydroxy-3-methylbut-2-enyl diphosphate reductase from Dunaliella salina. J Plant Physiol. 2009; 166(9): 968–77. 10.1016/j.jplph.2008.11.008 [DOI] [PubMed] [Google Scholar]
  • 33. Cunningham FX Jr, Lafond TP, Gantt E. Evidence of a role for LytB in the nonmevalonate path way of isoprenoid biosynthesis. J Bacteriol. 2000; 182: 5841–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34. Altincicek B, Kollas A, Eberl M, Wiesner J, Sanderbrand S, Hintz M, et al. LytB, a novel gene of the 2-C-methyl-D-erythritol 4-phosphate pathway of isoprenoid biosynthesis in Escherichia coli. FEBS Lett 2001; 499: 37–40. [DOI] [PubMed] [Google Scholar]
  • 35. Page JE, Hause G, Raschke M, Gao W, Schmidt J, Zenk MH, et al. Functional analysis of the final steps of the 1-deoxy-D-xylulose 5-phosphate (DXP) pathway to isoprenoids in plants using virus-induced gene silencing. Plant Physiol. 2004; 134: 1401–13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36. Díaz-Mendoza M, Velasco-Arroyo B, González-Melendi P, Martínez M, Díaz I. C1A cysteine protease-cystatin interactions in leaf senescence. J Exp Bot. 2014; 65(14): 3825–3833. 10.1093/jxb/eru043 [DOI] [PubMed] [Google Scholar]
  • 37. Domsalla A, Melzig MF. Occurrence and properties of proteases in plant latices. Planta Med. 2008; 74 (7): 699–711. 10.1055/s-2008-1074530 [DOI] [PubMed] [Google Scholar]
  • 38. Van Doorn WG, Beers EP, Dangl JL, Franklin-Tong VE, Gallois P, Hara-Nishimura I, et al. Morphological classification of plant cell deaths. Cell Death Differ. 2011; 18: 1241–1246. 10.1038/cdd.2011.36 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39. Braun HP, Schmitz UK. The mitochondrial processing peptidase. Int J Biochem Cell Biol. 1997; 29(8–9):1043–5. [DOI] [PubMed] [Google Scholar]
  • 40. Ito A. Mitochondrial processing peptidase: multiple-site recognition of precursor proteins. Biochem Biophys Res Commun. 1999; 265(3):611–6. [DOI] [PubMed] [Google Scholar]
  • 41. McConnell JR., McAlpine SR. Heat shock proteins 27, 40, and 70 as combinational and dual therapeutic cancer targets. Bioorg Med Chem Lett. 2013; 23(7): 1923–8. 10.1016/j.bmcl.2013.02.014 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42. Momcilovic I, Ristic Z. Expression of chloroplast protein synthesis elongation factor, EF-Tu, in two lines of maize with contrasting tolerance to heat stress during early stages of plant development. J Plant Physiol. 2007; 164(1): 90–9. [DOI] [PubMed] [Google Scholar]
  • 43. Su Y, Xu L, Fu Z, Yang Y, Guo J, Wang S, et al. ScChi, encoding an acidic class III chitinase of garcane, confers positive responses to biotic and abiotic stresses in sugarcane. Int J Mol Sci. 2014: 15(2): 2738–60. 10.3390/ijms15022738 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44. Li J, Brader G, Palva ET. Kunitz trypsin inhibitor: an antagonist of cell death triggered by phytopathogens and fumonisin b1 in Arabidopsis. Mol Plant. 2008;1(3):482–95. 10.1093/mp/ssn013 [DOI] [PubMed] [Google Scholar]
  • 45. Danis P, Farkas R. Hormone-dependent and hormone-independent control of metabolic and developmental functions of malate dehydrogenase—review. Endocr Regul. 2009; 43(1): 39–52. [DOI] [PubMed] [Google Scholar]
  • 46. Kim SG, Kim ST, Wang Y, Kim SK, Lee CH, Kim KK, et al. Overexpression of rice isoflavone reductase-like gene (OsIRL) confers tolerance to reactive oxygen species. Physiol Plant. 2010; 138(1): 1–9. 10.1111/j.1399-3054.2009.01290.x [DOI] [PubMed] [Google Scholar]
  • 47. Yang EJ, Oh YA, Lee ES, Park AR, Cho SK, Yoo YJ, et al. Oxygen-evolving enhancer protein 2 is phosphorylated by glycine-rich protein 3/wall-associated kinase 1 in Arabidopsis. Biochem Biophys Res Commun. 2003; 305(4): 862–8. [DOI] [PubMed] [Google Scholar]
  • 48. Heide H, Kalisz HM, Follmann H. The oxygen evolving enhancer protein 1 (OEE) of photosystem II in green algae exhibits thioredoxin activity. J Plant Physiol. 2014; 161(2): 139–49. [DOI] [PubMed] [Google Scholar]
  • 49. Ning CJ, Ding N, Wu GL, Meng HJ, Wang YN, Wang QH. Proteomics research on the effects of applying selenium to apple leaves on photosynthesis. Plant Physiol Biochem. 2013; 70: 1–6. 10.1016/j.plaphy.2013.05.008 [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

S1 Fig. Cytological stress response indicated via H2O2 production.

H2O2 in situ leaves of soybean seedlings exposed to B. maydis, DAB was allowed to react with H2O2, producing a brown polymerization product in the presence of peroxidases. Hyphae (HY) germinated from the conidia (CO) might be delimited by H2O2 production. The color mainly appeared oriented to the position localized by the interaction between soybean leaves and B. maydis. Bars are 20 μm in A and B. The microscope and software used for image handling were LEICA DM2000 and Adobe Photoshop 7.0.1.

(TIF)

S2 Fig. 2-DE map of control soybean stem proteins.

(TIF)

S3 Fig. 2-DE map of treated soybean stem proteins.

(TIF)

S4 Fig. 2-DE map of control soybean leaf proteins.

(TIF)

S5 Fig. 2-DE map of soybean leaf proteins.

(TIF)

Data Availability Statement

All relevant data are within the paper and its Supporting Information files.


Articles from PLoS ONE are provided here courtesy of PLOS

RESOURCES