Optimal nitrogen (N) supply is critical for achieving high grain yield of maize. It is well established that N deficiency significantly reduces grain yield and N oversupply reduces N use efficiency without significant yield increase. However, the underlying proteomic mechanism remains poorly understood. The present field study showed that N deficiency significantly reduced ear size and dry matter accumulation in the cob and grain, directly resulting in a significant decrease in grain yield. The N content, biomass accumulation, and proteomic variations were further analysed in young ears at the silking stage under different N regimes. N deficiency significantly reduced N content and biomass accumulation in young ears of maize plants. Proteomic analysis identified 47 proteins with significant differential accumulation in young ears under different N treatments. Eighteen proteins also responded to other abiotic and biotic stresses, suggesting that N nutritional imbalance triggered a general stress response. Importantly, 24 proteins are involved in regulation of hormonal metabolism and functions, ear development, and C/N metabolism in young ears, indicating profound impacts of N nutrition on ear growth and grain yield at the proteomic level.
Optimal nitrogen (N) supply is critical for achieving high grain yield of maize. It is well established that N deficiency significantly reduces grain yield and N oversupply reduces N use efficiency without significant yield increase. However, the underlying proteomic mechanism remains poorly understood. The present field study showed that N deficiency significantly reduced ear size and dry matter accumulation in the cob and grain, directly resulting in a significant decrease in grain yield. The Ncontent, biomass accumulation, and proteomic variations were further analysed in young ears at the silking stage under different N regimes. N deficiency significantly reduced Ncontent and biomass accumulation in young ears of maize plants. Proteomic analysis identified 47 proteins with significant differential accumulation in young ears under different N treatments. Eighteen proteins also responded to other abiotic and biotic stresses, suggesting that N nutritional imbalance triggered a general stress response. Importantly, 24 proteins are involved in regulation of hormonal metabolism and functions, ear development, and C/N metabolism in young ears, indicating profound impacts of N nutrition on ear growth and grain yield at the proteomic level.
As one of the major cereal crops, maize plays an essential role in maintaining worldwide food security (Pinstrup-Andersen ; Lobell ). Maize plants enter the silking stage when any silk outgrows ear husks and the number of fertilized ovules is determined at this stage (Hanway, 1963). Sink strength of the maize ear is also primarily determined at the silking stage when cobs accumulate a large amount of amino acids such as glutamine and asparagine (Seebauer ). Mutation of glutamine synthetase isoenzymes reduces the kernel number and kernel size (Martin ). Inefficient asparagine transport to developing kernels significantly reduces kernel production (Martin ). Kernel set and number are largely dependent on assimilate availability at flowering (15 d before to 15–20 d after silking) (Hawkins and Cooper, 1981; Tollenaar ; Cirilo and Andrade, 1994a).Sufficient nitrogen (N) nutrients are required for amino acid metabolism, ear growth, and dry matter accumulation in maize kernels (Hirel ). At the reproductive phase, N availability affects assimilate partitioning between vegetative and reproductive organs and N metabolism in young earshoots (Czyzewicz and Below, 1994). Due to extreme sensitivity of kernel set to environmental stresses during silking, the spikelet number on each ear is significantly reduced under various abiotic stresses (Kiniry, 1985; Cirilo and Andrade, 1994b). N deficiency reduces the kernel number and dry matter accumulation, and causes a 14–80% decrease in grain yield as a result (Uhart and Andrade, 1995b).Since the Green Revolution, the increase of maize grain yield has relied heavily on extensive application of N fertilizers, although breeding efforts and agricultural management have also helped (Tilman, 1998; Hirel ; Evenson and Gollin, 2003). However, the usage of N fertilizers is usually not optimal and causes worldwide challenges facing farmers and scientists. On the one hand, N deficiency remains a major limiting factor in promoting maize production in many undeveloped areas in Africa (Vanlauwe ). On the other hand, N oversupply caused a series of environmental problems including N run-off, leaching, or soil acidification in certain rapidly developing areas such as the intensively cultivated North China Plain (Liu and Diamond, 2005; Zhao ; Ju ; Guo ). Given highly dynamic amino acid conversion between the cob and kernels at silking, and rapid protein and carbohydrate accumulation in pollinated flowers in this process, it is imperative to understand the proteomic mechanism of how different N regimes affect ear growth at key developmental stages, especially the silking stage.
Materials and methods
Maize growth
Field experiments were conducted on a calcareous soil at Shangzhuang Experimental Station, China Agricultural University, Beijing. Twelve adjacent plots with the same fertility were utilized as control (optimal N fertilization: 250kg ha–1; ON), low N (zero N fertilization over the entire growth period; LN), and high N (farmer’s N fertilization: 365kg ha–1; HN) plots (Supplementary Table S1 available at JXB online), and each treatment had four replicates. ON was calculated as plant N uptake minus soil N supply according to the field experiments in the previous 2 years. HN was determined according to farmers’ practice. The physical and chemical properties of experimental soil were as follows: extracted mineral N 29.3kg ha–1, pH (H2O) 7.9, soil density 1.4g cm–3, Olsen-P 7.1mg kg–1, NH4OAc-extracted K 117.5mg kg–1, and organic matter 7.3g kg–1.Maize hybrid DH 3719, a high-yield genotype in Northern China, was sown at the end of April. All 12 plots were overseeded with hand planters and thinned at the seedling stage to a stand of 100 000 plants ha–1. To optimize planting density and ensure sufficient light interception and nutrient uptake, the inter-row distance was 50cm for wide rows and 20cm for narrow rows; the intra-row distance was 28cm. Seeds were only planted interlacingly in narrow rows. Border plots were included on all sides of the experimental field to eliminate marginal effects. Weed growth was controlled by pre-emergence herbicides (Paraquat, Weifang, Shandong, China) and cultivation. All plots received 90kg P2O5ha–1, 80kg K2Oha–1, and 30kg ZnSO4·7H2Oha–1 before planting with additional 45kg P2O5ha–1 at the V12 stage and 40kg K2Oha–1 at the silking stage. Young ear and plant samples were collected at 83 d after sowing (during the silking stage).
Total N content analysis
All plant samples were heat treated at 105 °C for 30min, dried at 70 °C until constant weight, then weighed and ground into powder. Appropriate amounts of ground tissue were analysed for the total Ncontent using a modified Kjeldahl digestion method (Baker and Thompson, 1992).
Proteomic analysis of young maize ears
Total soluble proteins were isolated from ~3.0g of frozen young ear tissue of maize per biological replicate. Proteins were precipitated and purified following the procedures described by Damerval et al. (1986) and Liu et al. (2006). In brief, proteins were precipitated with 10% (w/v) trichloroacetic acid (TCA)–acetone and recovered by centrifugation. The protein pellet was washed three times with 100% methanol, air-dried for 5min, and then dissolved in the protein solubilization buffer {7M urea, 2M thiourea, 4% (w/v) 3-[(3-cholanidopropyl) dimethylammonio]-1-propanesulphonate (CHAPS), 65mM dl-dithiothreitol (DTT) and 0.5% (v/v) IPG buffer pH 4–7}. The insoluble fraction was removed via centrifugation at 14000 g for 70min, and a 0.5% (v/v) IPG buffer (pH 4–7) from GE Healthcare (Piscataway, NJ, USA) was added into the soluble protein fraction. The protein concentration was assessed using the GE Healthcare 2-D Quant Kit.Protein samples of 500 µg were loaded into a 24cm GE Healthcare Strip Holder for active rehydration overnight. The isoelectric focusing electrophoresis (IEF) by the Ettan IPGphor (GE Healthcare) was programmed as follows: 50V for 1h, 200V for 1h, 200–500V gradient for 1h, 500–1000V gradient for 1.5h, 1000V for 2h, 1000–5000V gradient for 1.5h, 5000V for 1h, 5000–10 000V gradient for 1.5h, 10 000V for 6h. DryStrip equilibration and the second dimension 12.5% SDS–PAGE was performed following GE protocols. Proteins were visualized by Coomassie Brilliant Blue (CBB) stain (Neuhoff ) for 48h on an orbital shaker. Stained gels were imaged using the ImageScanner II Imaging System (GE Healthcare). The resulting gel images were analysed with ImageMaster 2D Platinum (GE Healthcare). Proteins were classified as differentially accumulated between different samples when the ratio of their average blot intensities was >1.3 and a t-test for differential accumulation was significant at the 0.05 level.Protein digestion and peptide treatment were performed following standard methods (Havliš ). Mass spectrometry analysis was performed using an AUTOFLEX II TOF-TOF (ABI-4800, Applied Biosystems, Foster City, CA, USA) according to the manufacturer’s instructions. The mass spectrometer was operated under 19kV accelerating voltage in the reflection mode and an m/z range of 900–4000. The peptide ions generated by autolysis of trypsin (with m/z 2163.333 and 2273.434) were used as internal standards for calibration. The list of peptide masses from each peptide map fingerprinting (PMF) was saved for further analysis.To identify maize proteins that were isolated from 2D gels, tandem mass spectrometry (MS/MS) data were fed to the MASCOT software (Matrix Science) and a customized maize protein database that was built from all annotated proteins from the maize whole-genome sequencing project (www.maizesequence.org, version 5a) was searched. If two or more proteins were identified by MASCOT at the significance level of P < 0.05 for a spot, the hit with best ion score was chosen. To annotate putative functions of identified maize proteins, each maize protein sequence was queried against (blastp with E-value cut-off of 1e-10) all annotated rice (http://rice.plantbiology.msu.edu, version 6.1) and Arabidopsis proteins (www.arabidopsis.org, TAIR9), respectively, and the annotation of the best hit from each of the two species was consulted.
Functional analysis of differentially expressed proteins
Gene Ontology (GO) (http://www.geneontology.org) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway (http://www.genome.jp/kegg/pathway.html) analyses were performed with the PartiGene program (http://www.nematodes.org/bioinformatics/annot8r/index.shtml). Annot8r assigns KEGG (gene) pathways and GO (protein) terms based on BLASTX similarity (E-value <10e-5) and known GO annotations (Parkinson ; Schmid and Blaxter, 2008). Results for GO were summarized in three independent categories (Biological Process, Cellular Component, and Molecular Function).
DNA/RNA extraction and PCR amplification
Total DNA and RNA samples were extracted from ground maize ear tissue using a DNeasy and RNeasy Plant Mini Kit (Qiagen, Hilden, Germany), respectively. The DNA/RNA concentration was measured using a NanoDrop 2000 spectrophotometer (Agilent Technologies, CA, USA). For PCR, the DNA concentration was adjusted to 200 pg µl–1 with Millipore water.The primer set 5'-AGAGTTTGATCCTGGCTCAG-3' and 5'-TA- CGGTTACCTTGTTACGACTT-3' was used to amplify a 1500bp 16S rDNA fragment (Lane, 1991). The primer set 5'-AGGAATTGACGG AAGGGCA-3' and 5'-GTGCGGCCCAGAACATCTAAG-3' was used to amplify a 325bp 18S rDNA fragment (Rotem ). Potential Ustilago maydis, Fusarium sublutinans, and Cochliobolus carbonum in fection were analysed through PCR amplification using the corresponding gene-specific primer sets 5'-GAACCTTTCTGGCC TCCTTT-3' and 5'-CCTTGGTTTCCGTTCCGTAC-3' (Xu ), 5'-GGCCACTCAAGAGGCGAAAG-3' and 5'-GTCAGACCAGAGC AATGGGC-3' (Möller ), and 5'-CCGGCGTTC GAGGTGGTGA-3' and 5'-GATGTCGAGGTGAGGGAAC-3' (Multani et al., 1998), respectively.The expression levels of two key genes in jasmonic acid (JA) synthesis, 12-oxo-phytodienoic acid reductase 7 (OPR7) and 12-oxo-phytodienoic acid reductase 8 (OPR8) (Zhang ), were analysed using quantitative real-time PCR. The primer set 5'-TCTCAACGCTCTCCAGCAG-3' and 5'-CGTAGGACACCAGGTCAGC-3' was used to amplify a 236bp OPR7 fragment, with the primer set 5'-GTACGGGCAGACGGAGTC-3' and 5'-AACGTCTTGCGCACGTATCT-3' for a 249bp OPR8 fragment.All PCR experiments were run in a PTC-200 thermocycler (MJ Research, Waltham, MA, USA), strictly following procedures described in the corresponding references.
Results
N deficiency negatively regulated ear growth
The ear size of N-deficient (LN) plants was significantly smaller than that of optimal N supplied (ON) plants (Fig. 1A). The dry weight of the cob and grain of LN ears was also significantly lower than that of ON ears (Fig. 1B, 1C), thus grain yield of LN plants significantly decreased compared with that of ON plants (Fig. 1D). On the other hand, N oversupply (HN) had no obvious effect on ear growth and grain yield (Fig. 1D).
Fig. 1.
The ear size (A), cob dry weight (B), grain dry weight (C), and grain yield (D) of field-grown maize at harvest with different N supplies. N deficiency significantly decreased the dry weight of the cob and grain, and grain yield at harvest (P < 0.05). LN, N deficiency; ON, optimal N fertilization; HN, N oversupply. The bars represented the SD of four biological replicates. Different letters above the bars indicte a significant difference between treatments (P < 0.05).
The ear size (A), cob dry weight (B), grain dry weight (C), and grain yield (D) of field-grown maize at harvest with different N supplies. N deficiency significantly decreased the dry weight of the cob and grain, and grain yield at harvest (P < 0.05). LN, N deficiency; ON, optimal N fertilization; HN, N oversupply. The bars represented the SD of four biological replicates. Different letters above the bars indicte a significant difference between treatments (P < 0.05).Sink strength of the maize ear is determined at the silking stage—a key developmental stage pre-determining kernel growth and grain yield (Cantarero ). Next the Ncontent, and soluble protein and biomass accumulation in young ears at the silking stage were analysed. As shown in Fig. 2, the immature ear of LN plants had approximately seven times less dry weight (Fig. 2B) and Ncontent (Fig. 2C) than that of ON plants. In contrast, the soluble protein concentration of young ears had no significant variation among treatments (Fig. 2D).
Fig. 2.
The size (A), dry weight (B), N content (C), and protein concentration (D) of the maize ear at silking with different N supplies. N deficiency significantly decreased the dry weight of the maize ear and N content of the maize ear at silking. The protein concentration per fresh weight of the maize ear at silking remained constant with different N supplies. LN, N deficiency; ON, optimal N fertilization; HN, N oversupply. The bars represent the SD of four biological replicates. Different letters above the bars indicted a significant difference between treatments (P < 0.05).
The size (A), dry weight (B), Ncontent (C), and protein concentration (D) of the maize ear at silking with different N supplies. N deficiency significantly decreased the dry weight of the maize ear and Ncontent of the maize ear at silking. The protein concentration per fresh weight of the maize ear at silking remained constant with different N supplies. LN, N deficiency; ON, optimal N fertilization; HN, N oversupply. The bars represent the SD of four biological replicates. Different letters above the bars indicted a significant difference between treatments (P < 0.05).
Forty-seven proteins differentially accumulated in young maize ears under different N treatments
Although quantitative variation of total soluble protein concentration was not detected in young ears among different N treatments, N deficiency or oversupply may cause differential accumulation of a subset of proteins (Johansson ). To dissect proteomic variation in young maize ears caused by N treatments, proteins were separated by 2D electrophoresis and then the nature of differentially accumulated proteins was determined with matrix-assisted desorption ionization-time of flight (MALDI-TOF/TOF) MS analysis. More than 1300 protein spots per gel were visualized using CBB staining (Fig. 3). The molecular weights of these proteins ranged from 14kDa to >100kDa, with a pI range from 4 to 7. Among 50 protein spots that showed significant differential accumulation in young ears of maize plants between treatments, it was possible to identify 47 proteins by searching annotated proteins from the maize whole-genome assembly using the MALDI-TOF/TOF MS data. Forty proteins were derived from LN–ON ear comparison, with the other seven proteins from HN–ON ear comparison. Notably, both spots 351 and 420 were identified as the ubiquitinC-terminal hydrolase (GRMZM2G017086_P01), and spots 1255 and 1257 were identified as the protein elongation factor (GRMZM2G040369_P01). It was hard to determine whether two spots were the same protein because they might contain proteins translated from the same gene with different post-translational modifications or were highly similar proteins that belong to the same family. Therefore, each spot was counted separately. These 47 proteins fell into two major functional categories: 28 proteins in metabolism, 17 proteins in plant defence, and two proteins with unknown functions as listed in Table 1.
Fig. 3.
Protein differential accumulation (arrowed and numbered) in maize ears at silking in the field was visualized using two-dimensional electrophoresis. Shown here was one representative gel out of three biological replicates under each treatment. LN, N deficiency; ON, optimal N fertilization; HN, N oversupply.
Table 1.
Differential protein accumulation in the maize ear at silking under different nitrogen treatments
Spot no.a
Putative annotation
Accession no.b
MASCOT scorec
Differential accumulation
Functional categoryd
LN versus ON
446
Aconitate hydratase
GRMZM2G176397_P01
53
Up
Metabolism
502
Aconitate hydratase
GRMZM2G467338_P01
178
Up
Metabolism
431
ATP synthase
GRMZM5G829375_P01
265
Up
Metabolism
50
Lipoxygenase
GRMZM2G109130_P01
37
Up
Plant defence
353
tRNA synthetases class II domain-containing protein
GRMZM2G083836_P01
61
Up
Unknown
491
Ketol-acid reductoisomerase
GRMZM2G004382_P01
250
Up
Metabolism
495
Methylenetetrahydrofolate reductase
GRMZM2G347056_P01
63
Up
Metabolism
424
Pyruvate decarboxylase
GRMZM2G087186_P01
167
Up
Metabolism
351
Ubiquitin C-terminal hydrolase
GRMZM2G017086_P01
115
Up
Metabolism
420
Ubiquitin C-terminal hydrolase
GRMZM2G017086_P01
113
Up
Metabolism
47
Putative clathrin adaptor complexes medium subunit
b Accession no.: identification of predicted proteins based on the maize whole-genome sequencing project.
c MOWSE score: calculated by MASCOT as –10LOG(P), where P was the probability that the match was a random event.
d Functional category: proteins were functionally annotated according to the MIPS FunCats (http://mips.helmholtz-muenchen.de/proj/funcatDB/search_main_frame.html) catalogue.
Differential protein accumulation in the maize ear at silking under different nitrogen treatmentsa Spot no.: corresponds to the numbers in Fig. 3.b Accession no.: identification of predicted proteins based on the maize whole-genome sequencing project.c MOWSE score: calculated by MASCOT as –10LOG(P), where P was the probability that the match was a random event.d Functional category: proteins were functionally annotated according to the MIPS FunCats (http://mips.helmholtz-muenchen.de/proj/funcatDB/search_main_frame.html) catalogue.Protein differential accumulation (arrowed and numbered) in maize ears at silking in the field was visualized using two-dimensional electrophoresis. Shown here was one representative gel out of three biological replicates under each treatment. LN, N deficiency; ON, optimal N fertilization; HN, N oversupply.In comparison with ON ears, LN ears had six newly detected proteins, three proteins undetected, and the other 31 differentially regulated proteins comprised 13 up-regulated and 18 down-regulated proteins (Table 1, Fig. 3).N oversupply had less effect on protein differential accumulation in young maize ears. Two proteins were up-regulated in young HN ears, and five proteins were down-regulated, compared with those in ON ears (Table 1, Fig. 3).
Functional analysis indicated that N regimes affected multiple biological processes
To explore further the potential functions of differentially regulated proteins, the KEGG database (Nakao ) was searched and it was found that 14 differentially regulated proteins were involved in 11 different biological pathways (Table 2). Ascorbateperoxidase (spot 157, 152), ascorbateperoxidase 1 (spot 153), and glutathione dehydrogenase (spot 159) were involved in ascorbate and aldarate metabolism. Chloroplast heat shock protein 70 (spot 1276) and heat shock protein 81-4 (spot 1250) were involved in plant–pathogen interaction. Interestingly, three proteins were involved in multiple biological pathways. The glutathione dehydrogenase was involved in glutathione, and ascorbate and aldarate metabolism. The lipoxygenase (spot 50) was involved in linoleic and α-linolenic acid metabolism. The ketol-acid reductoisomerase (spot 491) was involved in pantothenate and CoA biosynthesis, and valine, leucine, and isoleucine biosynthesis. The lipoxygenase and ketol-acid reductoisomerase were also involved in other uncharacterized metabolic pathways. Additionally, ATP synthase (spot 431), tRNA synthetase (spot 353), and T-complex protein (spot 430) were involved in secondary metabolite biosynthesis, aminoacyl-tRNA biosynthesis, and protein processing in the endoplasmic reticulum, respectively (Table 2).
Table 2.
Fourteen proteins participated in 11 metabolic pathways according to KEGG analysis
Pathway IDa
Pathway title
Protein accession no.b
Putative annotationc
ko00053
Ascorbate and aldarate metabolism
GRMZM2G140667_P01
Ascorbate peroxidase
GRMZM2G137839_P01
Ascorbate peroxidase
GRMZM2G054300_P01
Ascorbate peroxidase 1
GRMZM2G035502_P01
Glutathione dehydrogenase (ascorbate)d
ko04626
Plant–pathogen interaction
GRMZM2G079668_P01
Chloroplast heat shock protein 70
GRMZM2G112165_P01
Heat shock protein 81-4
ko00591
Linoleic acid metabolism
GRMZM2G109130_P01
Lipoxygenased
ko00592
Alpha-Linolenic acid metabolism
GRMZM2G109130_P01
Lipoxygenased
ko00770
Pantothenate and CoA biosynthesis
GRMZM2G004382_P01
Ketol-acid reductoisomerased
ko00290
Valine, leucine, and isoleucine biosynthesis
GRMZM2G004382_P01
Ketol-acid reductoisomerased
ko01100
Uncharacterized metabolic pathways
GRMZM2G109130_P01
Lipoxygenased
GRMZM2G004382_P01
Ketol-acid reductoisomerased
ko00480
Glutathione metabolism
GRMZM2G035502_P01
Glutathione dehydrogenase (ascorbate)d
ko01110
Biosynthesis of secondary metabolites
GRMZM5G829375_P01
ATP synthase
ko00970
Aminoacyl-tRNA biosynthesis
GRMZM2G083836_P01
tRNA synthetases class II domain-containing protein
ko04141
Protein processing in endoplasmic reticulum
GRMZM2G434173_P01
T-complex protein
a Pathway ID: number in KEGG (Kyoto Encyclopedia of Genes and Genomes).
b Protein accession no.: identification of predicted protein based on the maize whole-genome sequencing project.
c Putative annotation: corresponding to those in Table 1.
d Proteins involved in multiple metabolic pathways.
Fourteen proteins participated in 11 metabolic pathways according to KEGG analysisa Pathway ID: number in KEGG (Kyoto Encyclopedia of Genes and Genomes).b Protein accession no.: identification of predicted protein based on the maize whole-genome sequencing project.c Putative annotation: corresponding to those in Table 1.d Proteins involved in multiple metabolic pathways.GO analysis indicated that 37 differentially regulated proteins were involved in 21 different biological processes, such as responses to stresses, metabolic processes, oxidation reduction, and so forth (Supplementary Table S2 at JXB online; Fig. 4A). Seven proteins were involved in response to cold stress (spot 69, 185), oxidative stress (spot 332), a series of other abiotic stresses (spot 77, 157, 159, 1276), and fungal symbiosis (spot 159) (Supplementary Table S2; Fig. 4A). Twenty-nine proteins were located in 14 cellular components including the cytoplasm, chloroplast, and endoplasmic reticulum (Supplementary Table S2; Fig. 4B), and 39 proteins had molecular functions related to hydrolysis, ligation, GTP binding, nucleic acid binding, oxidoreductase activity, and so on (Supplementary Table S2; Fig. 4C).
Fig. 4.
GO annotation (categories and the percentage of the protein numbers in a single category to the total) of 47 differentially regulated proteins: biological processes (A), cellular components (B), and molecular functions (C). Thirty-seven proteins were involved in 21 different biological processes, 29 proteins were located in 14 cellular components, and 39 proteins were predicted to have 23 different molecular functions.
GO annotation (categories and the percentage of the protein numbers in a single category to the total) of 47 differentially regulated proteins: biological processes (A), cellular components (B), and molecular functions (C). Thirty-seven proteins were involved in 21 different biological processes, 29 proteins were located in 14 cellular components, and 39 proteins were predicted to have 23 different molecular functions.
Detection of pathogen infection and OPR gene expression
Considering 17 proteins related to plant defence, PCR analysis was performed to detect potential bacterial or fungal infection using 16S (27F/1492R) and 18S rDNA primer sets (Kowalchuk ; Yang ). As shown in Fig. 5A, it was possible to amplify both 16S and 18S products from all samples under different N treatments (Fig. 5A). It was further tested whether maize ear samples were infected by three ear preferential fungal pathogens: U. maydis (Xu ), F. sublutinans (Möller ), and C. carbonum (Multani ). The result indicated that none of these three fungal pathogens was present in the maize ear samples (Fig. 5B).
Fig. 5.
PCR detection of 16S rDNA, 18S rDNA, and ear preferential fungal infection. (A) PCR amplification of 16S (lanes 1–5) and 18S (lanes 6–10) rDNA. Lane M, DNA marker; lane 1, the positive control using Escherichia coli DNA; lane 2–4, 16S rDNA amplification using LN, ON, and HN DNA samples, respectively; lane 5, negative control using Millipore water; lane 6, positive control using a DNA sample extracted from the rhizospheric soil in our field; lanes 7–9, 18S rDNA amplification using LN, ON, and HN DNA samples, respectively; lane 10, negative control using Millipore water. (B) PCR detection of Fusarium subglutinans (lane 1–3), Ustilago maydis (lane 4–6), and Cochliobolus carbonum (lane 7–9) in maize ear samples with different nitrogen supplies. Lanes 1, 4, 7, with LN DNA samples as the template; lanes 2, 5, 8, with ON DNA samples as the template; and lanes 3, 6, 9, with HN DNA samples as the template. LN, N deficiency; ON, optimal N fertilization; HN, N oversupply.
PCR detection of 16S rDNA, 18S rDNA, and ear preferential fungal infection. (A) PCR amplification of 16S (lanes 1–5) and 18S (lanes 6–10) rDNA. Lane M, DNA marker; lane 1, the positive control using Escherichia coli DNA; lane 2–4, 16S rDNA amplification using LN, ON, and HN DNA samples, respectively; lane 5, negative control using Millipore water; lane 6, positive control using a DNA sample extracted from the rhizospheric soil in our field; lanes 7–9, 18S rDNA amplification using LN, ON, and HN DNA samples, respectively; lane 10, negative control using Millipore water. (B) PCR detection of Fusarium subglutinans (lane 1–3), Ustilago maydis (lane 4–6), and Cochliobolus carbonum (lane 7–9) in maize ear samples with different nitrogen supplies. Lanes 1, 4, 7, with LN DNA samples as the template; lanes 2, 5, 8, with ON DNA samples as the template; and lanes 3, 6, 9, with HN DNA samples as the template. LN, N deficiency; ON, optimal N fertilization; HN, N oversupply.Notably, five proteins related to JA metabolism had differential accumulation under different N treatments, indicative of potential alteration in JA synthesis. Therefore, the expression levels of two key genes mediating JA synthesis, OPR7 and OPR8 (Zhang ), were tested using quantitative real-time PCR. As shown in Supplementary Fig. S1 at JXB online, N deficiency down-regulated OPR7 and OPR8 expression at the silking stage; whereas N oversupply up-regulated OPR7 and OPR8 expression.
Discussion
N deficiency inhibited young ear growth and biomass accumulation
N supply affects N allocation, carbon assimilation, and biomass accumulation in grain (Cazetta ; Below ; D’Andrea ). N deficiency negatively mediates a series of growth indexes related to maize development, such as biomass production, kernel set, and grain yield (Lemcoff and Loomis, 1986; Jacobs and Pearson, 1991; Uhart and Andrade, 1995a; Pandey ). Among these indexes, grain yield is largely dependent on kernel set and biomass accumulation (Andrade ). Kernel number is predominantly determined by the maize growth rate during the critical period for kernel set (30 d at silking) (Uhart and Andrade, 1995a, b; Andrade ). N deficiency shortens the anthesis–silking interval [the average number of days between maize tassel (male) flowering and the first visible silk on the maize ear (female) (Bänziger )] and decreases kernel number and grain yield (Bänziger ). In the present study, insufficient N supply inhibited biomass accumulation in maize ear at the silking stage (Fig. 2A, 2B), resulting in a significant decrease in cob biomass (Fig. 1B), kernel biomass (Fig. 1C), and grain yield (Fig. 1C). N oversupply slightly increased biomass accumulation in the ear at silking (Fig. 2B), and had no obvious effect on biomass accumulation in the cob and kernel at harvest (Fig. 1B, 1C).
N nutritional imbalance triggered a stress response that also responded to many other external stimuli
GO analysis indicated that seven differentially regulated proteins upon N nutritional imbalance also responded to other abiotic stresses, and these proteins were chloroplast heat shock protein 70 (spot 1276), ascorbateperoxidase (spot 157), glutathione dehydrogenase (ascorbate) (spot 159), NADP-dependent oxidoreductase (spot 332), glycine-rich RNA-binding protein (spot 69, 185), and an RNA recognition motif-containing protein (spot 77) (Table 3). Heat shock proteins are up-regulated by a variety of stresses including drought, salinity, cold, and hot stresses (Swindell ). Cytosolic ascorbate peroxidase 1 is related to drought and heat stress responses (Mittler and Zilinskas, 1994; Koussevitzky ). The increase in ascorbateperoxidase activity is involved in plant defence against ozone or sulphur dioxide (Kubo ). Glutathione dehydrogenase (ascorbate) responds to UV-B radiation stress and plant–fungi symbiosis (Jiménez ; Costa ), and NADP-dependent oxidoreductase responds to high light stress via photo-protection signalling in plants (Phee ). Proteins with RNA-binding domains have important roles in response to cold and oxidative stresses (Carpenter ; Albà and Pagès, 1998; Martín ). In addition to the ascorbateperoxidase (spot 157) and glutathione dehydrogenase (ascorbate) (spot 159), N nutritional imbalance resulted in significant differential accumulation of four other proteins, the alcohol dehydrogenase (spot 419), ascorbateperoxidase (spot 152), ascorbateperoxidase 1 (spot 153), and pyruvate decarboxylase (spot 424) that are involved in the hypoxic response (Matton ; Christie ; Dolferus ; Biemelt ; Jiménez ; Conley ; Costa ; Bailey-Serres and Chang 2005). The present result was in agreement with the previous argument that a variety of abiotic stresses such as Fe deficiency, salt stress, and drought stress induced the hypoxic stress response (Mittler and Zilinskas, 1994; Hernandez et al., 1995; Karpinski ; Dionisio-Sese and Tobita, 1998; Donnini ).
Table 3.
Functional classification of 35 annotated proteins that differentially accumulated under different N treatments.
Functional categorya
Accession no.b
Putative annotationc
A general stress response
GRMZM2G079668_P01
Chloroplast heat shock protein 70
GRMZM2G140667_P01
Ascorbate peroxidase
GRMZM2G035502_P01
Glutathione dehydrogenase (ascorbate)d
GRMZM2G328094_P01
NADP-dependent oxidoreductase
GRMZM2G042118_P01
Glycine-rich RNA-binding protein
GRMZM2G009448_P01
Glycine-rich RNA-binding protein
GRMZM2G080603_P01
RNA recognition motif containing protein
GRMZM2G006953_P02
Nuclear transport factor 2B
GRMZM2G017086_P01
Ubiquitin C-terminal hydrolase
GRMZM2G017086_P01
Ubiquitin C-terminal hydrolase
GRMZM2G442658_P02
Alcohol dehydrogenase
GRMZM2G087186_P01
Pyruvate decarboxylase
GRMZM2G137839_P01
Ascorbate peroxidase
GRMZM2G054300_P01
Ascorbate peroxidase 1
GRMZM2G109130_P01
Lipoxygenased
GRMZM2G033555_P01
Cinnamoyl-CoA reductase family
GRMZM2G434173_P01
T-complex protein
GRMZM2G042089_P01
Putative clathrin adaptor complexes medium subunit
a Functional category: functional classification based on GO analysis and the available literature.
b Accession no.: identification of the predicted protein based on the maize whole-genome sequencing project.
c Putative annotation: corresponding to those in Table 1.
d Proteins with multiple biological functions.
Functional classification of 35 annotated proteins that differentially accumulated under different N treatments.a Functional category: functional classification based on GO analysis and the available literature.b Accession no.: identification of the predicted protein based on the maize whole-genome sequencing project.c Putative annotation: corresponding to those in Table 1.d Proteins with multiple biological functions.Five proteins had roles in response to biotic stresses (Table 3). Lipoxygenase was a key enzyme implicated in the fungus–seed interaction (Wilson ). Cinnamoyl-CoA reductase plays a unique role in the defence response by promoting lignin biosynthesis and binding to the small GTPase (Lauvergeat ; Kawasaki ). Unexpectedly, N deficiency also down-regulated the expression level of a DNA complex protein that is associated with the bacterial-transferred (T) DNA, facilitating entry of DNA into the host cell nucleus (Zeng ). Similarly, another nucleo-cytoplasmic transporter that transports diverse proteins into the nuclei also had decreased expression under N deficiency (Jiang ). Further, a putative clathrin adaptor subunit that plays important roles in plant endocytosis was also down-regulated under N deficiency (Holstein, 2002).Maize ear may be easily infected by bacteria or fungi in air under field conditions (Leifert ). Endophytic bacteria could be ubiquitous in most plants in the field without showing pathogenicity (Fisher ; Sessitsch ), and endophytic fungi may just colonize in maizecobs or seeds without visible damage at harvest (Fisher ). The presence of 16S and 18S rDNA was detected in maize ear samples of three different treatments. However, it was not possible to detect ear preferential fungal infection (Fig. 5B). Previously, a large number of proteins related to plant defence or diseases were detected in root mucilage even if all maize plants were healthy and grown in an axenic environment (Ma ). Therefore, it was concluded that nitrogen nutritional imbalance, rather than bacterial or fungal pathogen infection, resulted in significant differential accumulation of proteins related to plant defence in the present study. Sequential ubiquitination and deubiquitination regulates gene expression and is involved in multiple cellular processes (Wilkinson, 2000; Henry ; Zhang, 2003). Up-regulation of ubiquitinC-terminal hydrolase (spot 351, 420) may decrease ubiquitin levels in the ear in response to N deficiency via cleaving residual peptides from the C-terminus of ubiquitin, suggesting that deubiquitination might regulate plant response to N nutritional imbalance (Pickart and Rose, 1985; Takami ).Together, N nutritional imbalance triggered a general stress response involving many non-specific responders that are also able to respond to many other abiotic and biotic stresses (Table 3).
N nutritional status had comprehensive effects on hormonal metabolism and functions, ear development, and C/N metabolism
In addition to proteins that showed differential expression in response to N deficiency or oversupply, 24 annotated proteins were implicated in regulation of hormonal metabolism and functions, ear developmental programmes, and C/N metabolism at silking (Table 3). N deficiency negatively affects IAA (indole-3-acetic acid) metabolism, transport, and reception. IAA-Alaconjugate hydrolasecatalyses hydrolysis of amide-linked conjugates of IAA (IAA-Ala), giving rise to active IAA (Rampey ). Therefore, IAA-Alaconjugate hydrolase plays an essential role in regulating multiple plant developmental processes including germination and flowering (Davies ; Rampey ). N-1-naphthylphthalamic acid-binding aminopeptidase is a putative negative regulator of polar auxin transport (Bernasconi ; Murphy ). Interruption of auxin efflux by N-1-naphthylphthalamic acid-binding protein restrained maize growth and development (Murphy ). Auxin-binding proteins are auxin receptors localized at the plasmalemma of outer epidermal cells of the coleoptiles, leaf rolls, and mesocotyls of maize (Löbler and Klämbt, 1985; Shimomura ). Down-regulation of IAA-Alaconjugate hydrolase (spot 365) and auxin-binding protein (spot 113), together with up-regulation of N-1-naphthylphthalamic acid-binding protein (spot 1246), suggested that N deficiency inhibits ear growth through antagonizing auxin production, transport, and functions. Additionally, β-glucosidase 13 is implicated in the hydrolysis of conjugated gibberellins (Schliemann, 1984), activation of cytokinin (Brzobohatý ), and abscisic acid (ABA) metabolism (Matsuzaki and Koiwai, 1986), and protects young plant tissue against herbivores or other insect pests (Czjzek ) via catalysing aryl and alkyl β-d-glucoside hydrolysis. The above hormonal regulation may decrease carbohydrate allocation towards the growing ear, and reduce final grain yield as a result (Ray ; Daie ; Reed and Singletary, 1989).Five proteins, Tasselseed2 (spot 20, 21), lipoxygenase (spot 50), and dienelactone hydrolase (spot 172, 1332), may affect ear development via mediating JA signalling under N deficiency or oversupply. First, Tasselseed1 encodes a plastid-targeted lipoxygenase that mediates JA biosynthesis (Acosta ). Sex determination protein Tasselseed 2, a homologue of Tasselseed1 (DeLong ), plays a pivotal role in determining the sexual fate of maize floral meristems (DeLong ; Irish, 1996), presumably via affecting JA signalling (Acosta ). N deficiency down-regulated the expression level of Tasselseed2 (spot 21), which might induce female flowers on the tassel; while N oversupply up-regulated Tasselseed2 (spot 20) expression to suppress this developmental abnormality. Secondly, the lipoxygenase plays an important role in converting linolenic acid to 12-oxo-phytodienoic acid, a biosynthetic precursor of JA (Vick and Zimmerman, 1983). N deficiency might modulate JA levels in the developing maize ear through increasing lipoxygenase (spot 50) accumulation. Thirdly, the dienelactone hydrolasehas two conserved domains that are involved in regulation of methyl jasmonate functioning under environment stresses (Benedetti ). Further, as shown in Supplementary Fig. S1, nitrogen deficiency may reduce the JA level in maize ear at the silking stage via down-regulating OPR7 and OPR8 expression levels, in contrast to up-regulating the OPR7 and OPR8 expression levels under nitrogen oversupply (Staswick ), indicating intricate effects of N deficiency and oversupply on ear development partially via modulating the JA signalling pathway (Katsir ).N oversupply down-regulated prohibitin accumulation (spot 239) to delay ear senescence. Prohibitin may serve as a membrane-bound chaperone that accelerates cellular senescence of plants via misfolding mitochondrial proteins and damaging the mitochondrial membrane (Ahn ). Down-regulation of the prohibitin gene also causes smaller flowers and decreases petal size by reducing the cell size or number (Chen ), which may partially explain why N oversupply did not increase ear size or kernel number. In contrast, down-regulation of β-d-xylosidase (spot 542) may indicate early onset of ear maturity under N deficiency. β-d-xylosidase participates in xylan or arabinoxylan breakdown to modify the cell wall (Itai ). It is expressed at higher levels during fruit development and decreases after the onset of tomato fruit ripening (Itai ). Finally, RNA–protein interaction plays important roles in regulating plant development including the flowering process (Schomburg ; Lorković and Barta, 2002). N nutrition might affect maize ear development via differential regulation of proteins with an RNA recognition motif (spots 563) and an RNA-binding protein 45 (spot 432).N deficiency and oversupply had distinct effects on C/N metabolism. N deficiency altered C metabolism via up-regulating several essential enzymes in carbohydrate metabolic pathways including two aconitate hydratases (spots 446, 502), an ATP synthase (spots 431), and a methylenetetrahydrofolate reductase (spot 495). Aconitate hydratase was involved in the tricarboxylic acidcycle (Wendel ). ATP synthase, located in the chloroplast thylakoid membrane, is required for the Calvin cycle and crucial in energy supply for cellular reactions (Mccarty, 1992). Methylenetetrahydrofolate reductase (spot 495) participates in folate-mediated one-carbon metabolism in plants (Roje ).As to N metabolism, N deficiency up-regulated ketol acid reductoisomerase accumulation (spot 491) that preferentially synthesizes the branched chain amino acidsvaline, leucine, and isoleucine in plants (Bryan and Miflin, 1980; Durner ). However, N deficiency decreased glutathione dehydrogenase accumulation (spot 159), indicating a negative effect on glutathione, ascorbate, and aldarate metabolism (Table 2) (Crook, 1941).On the other hand, N oversupply prolonged the ear developmental programme via modifying C/N metabolism, including decreasing ATP synthase (spot 477) activity and down-regulating glutamate decarboxylase. Calmodulin-binding glutamate decarboxylase (GAD; spot 1240) regulates glutamate metabolism and has an essential role in controlling plant development. Inactivation of calmodulin binding of GAD shortens the tobacco stem due to elongation failure of cortex parenchyma cells (Baum ). GAD activity in Arabidopsis leaves varies according to N sources, and GAD2 affects nitrogen metabolism by mediating gene expression or RNA stability (Turano and Fang, 1998). N oversupply also modified amino acid and vitamin synthesis via transketolase (spot 589) up-regulation. Transketolase participates in carbon dioxide fixation through the Calvin cycle, and is implicated in glycolysis via providing precursors for nucleotide, aromatic amino acid, and vitamin biosynthesis (Gerhardt ).Rather than opposite regulatory effects, both N deficiency and oversupply down-regulated the protein level of dienelactone hydrolase (Table 1), an enzyme that regulates N metabolism via its Cys–His–Aspcatalytic triad (Cheah ).In conclusion, the present field experiments showed that N deficiency reduced both ear size and grain yield. At silking when the sink strength of the maize ear was pre-determined, a consistent decrease was found in N and dry matter accumulation in N-deficient ears. Further proteomic analysis revealed a general stress response triggered by N nutritional imbalance. Importantly, N deficiency or oversupply mediated ear growth via differential regulation of hormonal metabolism and functions, developmental programmes, and C/N metabolism in ears at silking.
Supplementary data
Supplementary data are available at JXB online.The relative gene expression levels of OPR7 (A) and OPR8 (B) in maize ear samples with different nitrogen supplies.Fertilization practice at different maize developmental stages.. The detailed Gene Ontology (GO) analysis of 47 proteins with significant differential accumulation.
Authors: John Parkinson; Alasdair Anthony; James Wasmuth; Ralf Schmid; Ann Hedley; Mark Blaxter Journal: Bioinformatics Date: 2004-02-26 Impact factor: 6.937
Authors: Juliann R Seebauer; Stephen P Moose; Bradon J Fabbri; Lyle D Crossland; Frederick E Below Journal: Plant Physiol Date: 2004-11-05 Impact factor: 8.340