- Research article
Identification of seed proteins associated with resistance to pre-harvested aflatoxin contamination in peanut (Arachis hypogaea L)
BMC Plant Biologyvolume 10, Article number: 267 (2010)
Pre-harvest infection of peanuts by Aspergillus flavus and subsequent aflatoxin contamination is one of the food safety factors that most severely impair peanut productivity and human and animal health, especially in arid and semi-arid tropical areas. Some peanut cultivars with natural pre-harvest resistance to aflatoxin contamination have been identified through field screening. However, little is known about the resistance mechanism, which has slowed the incorporation of resistance into cultivars with commercially acceptable genetic background. Therefore, it is necessary to identify resistance-associated proteins, and then to recognize candidate resistance genes potentially underlying the resistance mechanism.
The objective of this study was to identify resistance-associated proteins in response to A. flavus infection under drought stress using two-dimensional electrophoresis with mass spectrometry. To identify proteins involved in the resistance to pre-harvest aflatoxin contamination, we compared the differential expression profiles of seed proteins between a resistant cultivar (YJ-1) and a susceptible cultivar (Yueyou 7) under well-watered condition, drought stress, and A. flavus infection with drought stress. A total of 29 spots showed differential expression between resistant and susceptible cultivars in response to A. flavus attack under drought stress. Among these spots, 12 protein spots that consistently exhibited an altered expression were screened by Image Master 5.0 software and successfully identified by MALDI-TOF MS. Five protein spots, including Oso7g0179400, PII protein, CDK1, Oxalate oxidase, SAP domain-containing protein, were uniquely expressed in the resistant cultivar. Six protein spots including low molecular weight heat shock protein precursor, RIO kinase, L-ascorbate peroxidase, iso-Ara h3, 50 S ribosomal protein L22 and putative 30 S ribosomal S9 were significantly up-regulated in the resistant cultivar challenged by A. flavus under drought stress. A significant decrease or down regulation of trypsin inhibitor caused by A. flavus in the resistant cultivar was also observed. In addition, variations in protein expression patterns for resistant and susceptible cultivars were further validated by real time RT-PCR analysis.
In summary, this study provides new insights into understanding of the molecular mechanism of resistance to pre-harvest aflatoxin contamination in peanut, and will help to develop peanut varieties with resistance to pre-harvested aflatoxin contamination.
Peanut (Arachis hypogaea L.) is one of most important and widespread oil crops. One of the major problems in peanut production worldwide is aflatoxin contamination, which is of great concern in peanut as this toxin can cause teratogenic and carcinogenic effects in animal and human. Infection of peanut by Aspergillus flavus occurs not only in post-harvest but also in pre-harvest conditions [1–3]. Several biotic (soil-born insects) and abiotic (drought and high temperature) factors are known to affect pre-harvest aflatoxin contamination, while the late season drought (20-40 days before harvest) which predispose peanut to aflatoxin contamination [4–9] is more important in the semi-arid tropics [10, 11]. Irrigation in late season can reduce peanut pre-harvest aflatoxin contamination, but this cultural practice seems to be impractical in some areas, especially in semi-arid and arid areas. Enhancing host plant resistance to pre-harvest A. flavus invasion and aflatoxin contamination is considered to be the most cost-effective control measure. In the past decades, peanut cultivars with natural pre-harvest resistance to aflatoxin production have been identified through field screening [12–21]. However, the agronomic traits of these varieties have been very poor for the direct commercial utility. The progress in transferring the resistance genes from these resistant lines into commercial cultivars has been slow, due to lack of understanding of the resistance mechanism and markers associated with resistance .
Although drought stress is known to predispose peanut to aflatoxin contamination [4–9], limited researches were reported on the mechanism of late season drought stress aggravating the A. flavus infection. Dorner et al (1989)  observed that drought stress could decrease the capacity of peanut seeds to produce phytoalexins, and thus resulted in higher aflatoxin contamination. The active water of seeds is the most important factor controlling the capacity of seeds to produce phytoalexins [23, 24]. Luo et al (2005)  used a microarray of 400 unigenes to investigate the up/down regulated gene profiles in peanut cultivar A13, which is drought tolerant and resistant to pre-harvest aflatoxin contamination, and identified 25 unigenes that were potentially associated with drought tolerance or that responded to A. parasiticus challenge. Nevertheless, the significance of these unigenes in pre-harvest infection of peanut pods by Aspergillus is incomplete without knowledge of their functions. Studies to understand host resistance mechanisms in maize and peanut against A. flavus infection and aflatoxin contamination indicate that proteins are a major factor contributing to kernel resistance [1, 2, 26, 27].
Proteins serve as the bridge between genetic information encoded in the genome and the phenotype. Proteomics analysis reveals the plasticity of gene expression as it allows global analysis of gene products and physiological states of plant under particular conditions. The objectives of this research were to: (1) compare the differential expression of proteins of resistant and susceptible peanut cultivars in response to A. flavus challenge under drought stress; (2) identify seed proteins associated with resistance to pre-harvest aflatoxin contamination in peanut. In this study, a total of 28 differentially expressed proteins were identified and 12 proteins associated with pre-harvested aflatoxin contamination were further characterized by MALDI-TOF MS and their expression profiles were validated by real-time RT-PCR. The identification of these potential proteins associated with the aflatoxin resistance in peanut could be useful in programmes on developing peanut varieties with resistant to pre-harvest aflatoxin contamination.
Aflatoxin accumulation analysis in seeds of resistant and susceptible cultivars
Seed aflatoxin B1 levels from the resistant cultivar (YJ-1) and susceptible cultivars (Yueyou 7) had baseline levels (approximately 1 ppb) under well-watered conditions, and no difference between the two cultivars was found (Table 1). Under drought stress conditions, the seed aflatoxin B1 level in both YJ-1 and Yueyou 7 increased. The level of aflatoxin B1 increased to 22 ppb and 162 ppb in YJ-1 and Yueyou 7 respectively under drought stress. After artificial inoculation treatment with A. flavus under drought stress, the aflatoxin B1 level in seeds of the infected cultivar YJ-1 increased to 135 ppb, whereas the level in the infected cultivar Yueyou 7 increased to 1901 ppb, suggesting that aflatoxin B1 accumulation in the susceptible cultivar Yueyou 7 was around 14-fold compared to the resistant cultivar YJ-1. YJ-1 exhibited a significant level of resistance to pre-harvest aflatoxin contamination. These results are in agreement with several earlier reports of resistance in peanut .
Comparison of seed proteomic profiles between resistant and susceptible cultivars under A. flavus challenge and drought stress
To investigate the seed protein profiles, we carried out 2-DE analysis of the proteins from six sample groups as described in the Methods section. Due to the lower resolution at the anodal and cathodal ends of the first dimension tube gels, only the gel region where the pI ranged from 5 to 8 was further analyzed. For each treatment, 2-DE gels were run in three replicates. More than 500 protein spots were repeatedly detected on Coomassie brilliant blue G-250 -stained gels using Image Master 5.0 software across all the samples (Figure 1) and the reproducibility of all gels were over 95.0% (Additional file 1).
A comparison of 2-DE images revealed that there were both qualitative and quantitative differences in resistant or susceptible cultivars under the three treatment conditions (Additional file 2). Under the well-watered condition, the 2-DE gel of resistant cultivar YJ-1 showed 542 high quality spots (Additional file 1), while 11 unique, 12 up-regulated, 6 down-regulated and 6 disappeared spots were induced by drought stress, 17 unique, 15 up-regulated, 5 down- regulated and 7 disappeared spots were induced by A. flavus infection under drought stress (Additional file 2). The 2-DE protein profiles of the susceptible cultivar (Yueyou 7) showed a similar differential expression pattern responsive to drought stress and A. flavus infection, but the number of differentially expressed spots was less than that of the resistant cultivar (YJ-1). Five unique, 10 up-regulated, 5 down-regulated and 3 disappeared spots were induced by drought stress, while 12 unique, 11 up-regulated, 8 down-regulated and 4 disappeared spots were induced by A. flavus infection under drought stress in susceptible cultivar Yueyou 7 (Additional file 2).
To investigate the host proteins responsive to A. flavus infection, a comparison was conducted with 2-DE images of total seed proteins from the resistant cultivar (YJ-1) and the susceptible cultivar (Yueyou 7) with A. flavus infection under drought stress (Table 2). About 29 spots that showed differential expression in all analytical gels under A. flavus attack were identified. Among those, 12 protein spots that consistently exhibited unique, increased or decreased in abundance and at least four fold differences in spot intensity in gel of resistant cultivar (YJ-1) with A. flavus infection under drought stress, compared with gel of the susceptible cultivar (YY-7) received the same treatment. Of these, five protein spots (S6256, S6258, S6264, S6278, and S6503) with unique expression, six protein spots (S1368, S1521, S1419, S1429, S16169 and S6107) with an up-regulated trend, and one protein spots (S1314) with a down-regulated trend in the resistant cultivar (YJ-1) by A. flavus infection under drought stress were selected for MS analysis. The enlargements of the 12 differentially expressed proteins were shown in Figure 2.
Identification of the differentially expressed proteins related to resistance to pre-harvest aflatoxin contamination
All of the twelve differentially expressed proteins were excised and analyzed by MALDI-TOF-MS to identify their putative functions. After searching against the green plant protein database in NCBI, all these protein spots were successfully identified by PMF analysis and matched known plant proteins. Those proteins and their annotated functions are listed in Table 3. Since there are relatively few known peanut proteins and genomic sequences available, only three proteins matched peanut proteins. Among the twelve selected proteins, four were related to stress response: Low molecular weight heat shock protein precursor (S6107), Oxalate oxidase (S6278), Trypsin inhibitor (S1314) and L-ascorbate peroxidase 1(S1521). Os07g0179400 (S6256), CDKD1 (S6264) and RIO kinase (S1368) were signaling components. SAP domain-containing protein (S6503), 50 S ribosomal protein L22 (S1429) and putative 30 S ribosomal protein S9 (S6169) were related to regulation of transcription. PII protein (S6258) and iso-Ara h3 (S1419) were storage protein.
Gene Transcription Profile Analysis by real time RT-PCR
To validate the expression of the twelve identified proteins at transcription level, total RNAs from six samples (see the Methods section) were extracted and analyzed by real time RT-PCR. The primer pairs used for real time RT-PCR were designed based on nucleotide sequences in NCBI databases and shown in Table 3 the actin gene was chosen as internal control. Figure 3 shows the expression patterns of the twelve genes in the resistant cultivar (YJ-1) and the susceptible cultivar (Yueyou7) under well-watered (control), drought stress and A. flavus infection accompanied with drought stress on the 50th days after treatments. The results demonstrated that, of the five genes identified as the unique expressed group (S6256, S6258, S6264, S6278, and S6503), S6258 and S6278 showed higher expression levels in the cv. YJ-1 than in the cv. Yueyou7, S6264 showed similar and the remaining two showed lower. Of the six proteins identified as the up-regulated group (S1368, S1521, S1419, S1429, S6107 and S6169), four genes (S1521, S1419, S1429, S6169) showed higher expression levels in the resistant cultivar with A. flavus infection under drought stress. In contrast, two genes (S1368 and S6107) showed no correlation between mRNA and protein expression levels. One gene (S1314) identified in the down-regulated group, showed the identical level of transcript abundance in both resistant and susceptible cultivars with A. flavus infection plus drought stress.
In this study, proteins showing differentially expressed profiles in the resistant and susceptible cultivars with A. flavus infection under drought stress were identified by using a proteomic approach. Around 550 protein spots identified for quantitative analyses of differentially regulated proteins responsive to A. falvus attack, and the number of protein spots was more than that in earlier reports by Liang et al (2006b)  and Kottapalli et al (2008) . We have identified 12 protein spots which significantly increased or decreased in response to A. flavus infection under drought stress in resistant cultivar (YJ-1) versus susceptible cultivar. These proteins could be divided into four functional groups including defense response, signaling components, regulation of transcription and storage protein.
Os07g0179400 (s6256) with transferase and kinase activity is a key protein in biosynthetic process . CDKD1 (s6264) is involved in the phosphorylation of proteins and regulation of cell cycle . Oxalate oxidase (s6278) belongs to the germin-like family of proteins and catalyzes the degradation of oxalic acid to produce carbon dioxide and hydrogen peroxide . Reports of oxalate oxidase activity in response to pathogen attack have received considerable attention as it possibly plays a role in plant defense [34–37]. In plants, PII protein (s6258) is a nuclear-encoded plastid protein  and can be involved in the regulation of nitrogen metabolism . SAP domain-containing protein (s6503) was a DNA binding protein and its physiological roles remain to be unknown. In this study, these five proteins had unique expression in resistant cultivars and completely absent in the susceptible cultivar in response to A. flavus infection under drought stress, or under only drought stress condition. These proteins were, therefore, considered to be encoded by candidate resistance-related genes potentially involved in resistance to preharvest aflatoxin contamination.
Heat shock proteins (s6107), 50 s ribosomal protein (s1429), 30 s ribosomal protein (s6169) and iso-ara h3 (s1419) were up-regulated in both cultivars only in A. flavus infection under drought stress condition, but the expression level in the resistant cultivar was higher than in susceptible cultivar. Heat shock proteins (HSP) are the most well-known stress related proteins in plants which are induced in response to a number of different stresses. HSP can play a role as chaperons which are involved in correct folding of proteins and protect them from denaturing under stress condition . In this study, HSP proteins could only be observed in peanut seeds upon A. flavus attack under drought conditions. This result was contradictive with those of Chen et al (2002, 2007) [41, 26], in which they reported that HSP proteins were constitutively expressed and up-regulated in resistant maize lines versus susceptible lines [26, 41]. Both 50 S ribosomal protein (s1429) and putative 30 S ribosomal protein (s6169) are structural constituents of ribosome with RNA binding function, and play essential roles in translation processes . The transcripts of ribosomal proteins in leaves of Arabidopsis plants were up-regulated under both drought and heat stress conditions . The significant up-regulation of two ribosomal proteins suggested that one of the major effects of pre-harvest A. flavus infection in peanut is imposed on protein synthesis. Iso-Ara h3 (s1419), a peanut seed storage protein, shows significant homology to known peanut allergen, Arah3 . The significant increase of iso-ara h3 in resistant cultivar compared with susceptible cultivar under A. flavus infection showed that iso-ara 3 (s1419) might be related to pre-harvest aflatoxin contamination.
L-ascorbate peroxidase (s1521) is a stress-responsive protein , and is involved in the metabolism of H2O2 in higher plants . Previous reports on peanut  and maize  showed L-ascorbate peroxidase were up-regulated by both A. parasticus and drought stress. RIO kinase (s1368) has kinase catalytic activity and is involved in ATP binding [46, 47]. In this study, L-ascorbate peroxidase (s1521) and RIO kinase (s1368) were detected only in the resistant cultivar under well-watered conditions, and were up-regulated under drought stress conditions and A. flavus attack under drought stress conditions. In the susceptible cultivar, however, the two proteins were up-regulated only under A. flavus attack accompanied with drought stress. This result was consistent with previous studies [24, 26]. This indicated that the two proteins (s1521 and s1368) might contribute to increasing the resistance to pre-harvest aflatoxin contamination in the resistant cultivar.
Trypsin inhibitor (s314), a constitutively expressed antifungal protein, was observed at high expression levels in resistant peanut cultivars  and maize lines [49, 41], but was at low or undetectable levels in susceptible cultivars and lines. However, in this study, there was no differential expression in both cultivars under well-watered and drought stress conditions, but down-regulation of trypsin inhibitor was observed when challenged by A. flavus under drought stress in resistant cultivar. The true reason of down-regulation of trypsin inhibitor in our experiment remains unknown.
The functional distribution of unique and up-regulated proteins in resistant cultivar (YJ-1) also showed that most of the proteins affected were defense-related proteins, protein synthesis, and regulation of transcription. A. flavus infection in pre-harvested peanut seeds resulted in expression of six new proteins, no information of which was available in database. Three of them (spot s6256, s6258 and s6264) were detectable only in resistant cultivar, and three proteins (s1368, s1429 and s6169) were markedly up-regulated in resistant cultivar.
In addition, in this study, seven selected proteins for mRNA expression study showed up-regulation in both mRNA and protein expression, although it has been reported that the correlation between transcription and translation is known to be less than 50% .
In conclusion, pre-harvest aflatoxin-resistance trait was characterized as a quantitative trait. Development of peanut cultivars with resistance to pre-harvest aflatoxin contamination would be a long-term selection program. This study reports the first proteome analysis to identify resistance-associated protein such as low molecular weight heat shock protein, Oso7g0179400, PII protein, CDK1, Oxalate oxidase, SAP domain-containing protein, RIO kinase, L-ascorbate peroxidase, iso-Ara h3, 50 S ribosomal protein, 30 S ribosomal, which may be associated with resistance to pre-harvest aflatoxin contamination in peanut. More detailed analysis of the identified proteins is in progress to further characterize their possible functional roles in resistance to pre-harvested aflatoxin contamination.
Plants material and treatment
A resistant cultivar YJ-1 and a susceptible cultivar YueyouY-7 were provided by Crops Research Institute, Guangdong Academy of Agricultural Sciences (GDAAS, China). A. flavus isolate As3.2890, a wild-type strain known to produce high levels of aflatoxin in peanut was provided by Institute of Microbiology, Chinese Academy of Sciences. All seeds were sterilized for 1 min in 70% ethanol, rinsed with sterile deionized water 3- 4 times. Seeds were planted in plastic pots with sterilized soil and kept in the greenhouse at a temperature of 25-30°C. Both resistant (YJ-1) and susceptible (Yueyou 7) cultivars were subjected to three treatments: (1) well-watered condition; (2) drought stress condition; (3) drought stress and A. flavus artificial inoculation condition. To simulate the late season drought, we watered the spots of the drought treatments with only 20 ml of water per day starting on the 60th day after sowing, while the spots of the well-watered treatments were watered normally. In A. flavus inoculation group, both cultivars were subjected to drought stress as group 2. In addition, A. flavus (As3.2890)-contaminated corn powder was sprayed to pots at 60 days after planting and covered with soil according to the method of Anderson et al (1996) . All treatments were conducted simultaneously. The mature seeds were collected and immediately frozen in liquid nitrogen, and then stored in a freezer at -80°C.
Measurement of aflatoxin B1
Peanut seeds (5 g) of all samples were sprayed with 95% alcohol and dried at 115°C. The dried seeds were ground to powder, defatted with 20 ml of n-hexane, and then extracted with 25 ml of aqueous methanol (1:1). Aflatoxin B1 (AFB1) extracts of all the samples were determined according to the manufacturer's directions of Aflatoxin B1 quantization ELISA Kit (JSWSW, Jiangsu China).
Seed total protein extraction
The frozen peanut seeds (1 g) of all samples were homogenized in a chilled mortar and ground to powder in liquid nitrogen and defatted with hexane according to Liang et al (2006b) . The defatted samples were collected by centrifugation (10,000 × g for 10 min at 4°C and the pellets were allowed to dry at room temperature. The dried pellets were further ground with pestle to a fine powder and re-suspended in 2 ml of phenol for extraction of proteins based on a method modified from Sonia et al . The supernatant was collected after centrifugation at 10,000 × g for 10 min at 4°C and precipitated with five volumes of ice-cold methanol plus 0.1 M ammonium acetate at -20°C for 1 h. Precipitated proteins were recovered by centrifugation at 10,000 × g for 10 min at 4°C, and then washed five times with cold methanol, cold acetone and cold 80% acetone. The pellets were vacuum-dried and re-dissolved in 6 M guanidinium chloride. Then 5 mM TBP and 100 mM 2-VP (SIGMA, USA) were added to reduce and alkylate proteins and, after incubating for 90 min at room temperature, supernatant was collected by centrifuging at 10,000 × g for 10 min at 4°C. The supernatant was mixed with five volumes of ice-cold acetone: ethanol (1:1) to precipitate proteins at -20°C for 10 min. The precipitated proteins were recovered and washed twice with cold acetone/ethanol (1:1) and 80% acetone. The final pellets were air-dried and re-suspended in ProteomIQ™C7 re-suspension reagent (Proteome Systems, Inc., Australia) with a drop of ProteomIQ IEF tracking dye. These samples were used for 2-DE analysis.
Two-dimensional gel electrophoresis (2-DE) and spot analysis
The first-dimensional gel electrophoresis was performed using immobilized pH gradients (Proteome Systems Ltd, Sydney, Australia) according to the manufacturer's directions with some modifications. The dry 11 cm IPG strips (pH5-8) (Proteome Systems Ltd) were rehydrated for 12 h with 200 μl of protein sample, containing 0.3 mg of protein, at 14°C. Isoelectric focusing (IEF) was performed at 20°C with PSL IsoElectrIQ™electrophoresis equipment (Australian). The running conditions were: 1 h at 100 V, 8 h from 100 V to 10,000 V and 8 h at 10,000 V. Current was limited 50 μA per IPG gel strip. The focused strips were equilibrated immediately for 15 min in 10 ml of sodium dodecyl sulfate (SDS) equilibration solution containing 50 mM Tris-HCI buffers, pH8.8, 6 M urea, 2% (wt/vol) SDS, 30% (wt/vol) glycerol, 1% (wt/vol) DTT and a drop of tracking dye at room temperature with shaking.
After equilibration, the second-dimension gel electrophoresis was carried out on 15% polyacrylamide-SDS gels (20 cm × 24 cm × 0.1 cm, width × length × thickness) at a constant voltage of 120 V for 5 h at 20°C.
Preparative gels were fixed overnight in water containing 10% (vol/vol) acetic acid, 50% (vol/vol) methanol, and stained with colloidal Coomassie Brilliant Blue G-250. All the stained gels were scanned and images were analyzed using Image Master 2 D Platinum 5.0 software (Amersham Biosciences). For each sample, gels were run in triplicate.
A comparison of the A. flavus-inducing variations between YJ-1 and Yuyou7 allowed the identifation of the induced protein spots that were present uniquely or at least four-fold up/down-regulated in the resistant cultivar compared to susceptible cultivar. For comparison of gels, the intensity data of individual protein spots present in each gel were normalized according to Image Master Software user manual. Intensity of all protein spots were interpreted by a percentage. Then the percent intensity volume (% vol) of each individual spot (relative to the intensity volumes of all spots) was used for the comparative analysis with unpaired Student's t-test. P values less than 0.05 were considered statistically significant.
MALDI-TOF MS analysis and protein identification
The unique, down- or up-regulated protein spots in response to A. flavus infection in the resistant cultivar were cut and in-gel proteolysed with trypsin. The resulting peptides were analyzed by matrix-assisted laser desorption/ionization-time of flight mass spectrometry (MALDI-TOF MS) (WATERS Corporation, USA) at the Beijing Proteomics Research Center (BPRC, China). The list of peptide masses were transferred into the peptide mass fingerprint search program Mascot http://www.matrixscience.com as data file, and were compared with simulated proteolysis and fragmentation of known proteins in the NCBI-nr database. Search parameters in the program allowed for oxidation of methionine, carbamido-methylation of cysteine, one missed trypsin cleavage, and 0.2 Da of mass accuracy for each peptide mass was allowed. Proteins with a MASCOT high score (> 60) were considered to be the target proteins. Proteins that were matched with a lower MASCOT score were considered tentative. In addition, the identified peptides were used for similarity searches against peanut gene indices generated in our laboratory using tBLASTn algorithm.
Real Time RT-PCR analysis
Total RNA was isolated from peanut seeds using Trizol reagent (Invitrogen, Carlsbad, CA), and genomic DNA was removed by adding RNase-free DNase I (Takara). And then, the RNA samples were purified with the RNeasy Cleanup Kit (Qiagen). Nano drop ND-1000 Spectrophotometer and agarose gel electrophoresis was performed to test RNA quality as described by Aranda, et al (2009) . For all the samples, 4 μg of total RNA was converted to cDNA using PrimeScript II 1st Strand cDNA Synthesis kit (Takara) according to the manufacturer's protocols. Quantitative real-time RT-PCR was performed with SYBRR Premix Ex Taq™II kit (Takara) and a LightCycler 480 instrument (Roche) equipped with Light- Cycler Software Version 1.5 (Roche) based on the manufacturer's instructions . Amplifications reactions were carried out in a total volume of 20 μl. PCR cycling was: 95°C for 10 s, followed by 45 cycles of 95°C for 10 s, 60°C for 10 s, and 72°C for 20 s. Data collection was performed during the annealing phase of the each amplification. Then processing of the melting curve was from 62 to 95°C with reading the intensity of fluorescence every 0.2. All protein-specific primers were designed using the Primer Version 5.0 (PREMIER Biosoft Intern ational) and listed in Table 4. The actin gene from peanut seed was used as an internal control for calculating relative transcript abundance. The amplicon of this gene is 104 bp and the primers are: forward (5'-GTTCC ACTAT GTTCC CAGGC A-3') and reverse (5'-CTTCC TCTCT GGTGG TGCTA CA-3'). All real-time PCR reactions were technically repeated three times. The relative quantification of RNA expression was calibrated using formula 2-ΔΔCt method .
Liang XQ, Luo M, Guo BZ: Resistance mechanisms to Aspergillus flavus infection and aflatoxin contamination in peanut (Arachis hypogaea). Journal of plant pathology. 2006, 5 (1): 115-124. 10.3923/ppj.2006.115.124.
Guo BZ, Chen ZY, Lee RD, Scully BT: Drought stress and preharvest aflatoxin contamination in agricultural commodity: genetics, genomics and proteomics. Journal of Integrative Plant Biology. 2008, 50 (10): 1281-1291. 10.1111/j.1744-7909.2008.00739.x.
Passone MA, Ruffino M, Ponzio V, Resnik S, Etcheverry MG: Postharvest control of peanut Aspergillus section Flavi populations by a formulation of food-grade antioxidants. International Journal of Food Microbiology. 2009, 131: 211-217. 10.1016/j.ijfoodmicro.2009.02.023.
Cole RJ, Hill RA, Blankenship PD, Sanders TH, Garren KH: Influence of irrigation and drought stress on invasion by Aspergillus flavus of corn kernels and peanut pods. Dev Ind Microbiol. 1982, 23: 229-236.
Cole RJ, Sanders TH, Hill RA, Blankenship PD: Mean geocarposphere temperatures that induce preharvest aflatoxin contamination of peanuts under drought stress. Mycopathologia. 1985, 91: 41-46. 10.1007/BF00437286.
Blankenship PD, Cole RJ, Sanders TH, Hill RA: Environmental plot facility with manipulable soil temperature. Oleagineux. 1983, 38 (11): 615-620.
Blankenship PD, Cole RJ, Sanders TH, Hill RA: Effect of geocarposphere temperature on pre-harvest colonization of drought-stressed peanuts by Aspergillus flavus and subsequent aflatoxin contamination. Mycopathologia. 1984, 85: 69-74. 10.1007/BF00436705.
Hill RA, Blankenship PD, Cole RJ, Sanders TH: The effects of soil moisture and temperature on preharvest invasion of peanuts by the Aspergillus flavus group and subsequent aflatoxin development. Appl Environ Microbiol. 1983, 45: 628-633.
Wilson DM, Stansell JR: Effect of irrigation on aflatoxin contamination of peanut pods. Peanut Science. 1983, 10: 54-56. 10.3146/i0095-3679-10-2-2.
Cole RJ, Sanders TH, Dorner JW, Blankenship PD: Environmental conditions required to induce preharvest aflatoxin contamination of groundnuts: summary of six years' research. Aflatoxin contamination of groundnuts. ICRISAT, Patancheru, India; 1989:279-287.
Sanders TH, Cole RJ, Blankenship PD, Dorner JW: Aflatoxin contamination of peanuts from plants drought stressed in pod or root zones. Peanut Science. 1993, 20 (1): 5-8. 10.3146/i0095-3679-20-1-2.
Anderson WF, Holbrook CC, Wilson DM, Matheron ME: Evaluation of preharvest aflatoxin contamination in several potentially resistant peanut cultivars. Peanut Science. 1995, 22: 29-32. 10.3146/pnut.22.1.0007.
Blankenship PD, Cole1 RJ, Sanders TH: Comparative susceptibility of four experimental peanut lines and the cultivar florunner to preharvest matoxin contamination. Peanut Science. 1985, 13: 70-73. 10.3146/pnut.12.2.0006.
Holbrook CC, Kvien CK, Ruckers KS, Wilson DM, Hook JE: Preharvest aflatoxin contamination in drought tolerant and intolerant peanut cultivars. Peanut Science. 2000, 21: 20-22. 10.3146/i0095-3679-21-1-6.
Kisyombe CT, Beute MK, Payne GA: Field evaluation of peanut cultivars for resistance to infection by Aspergillus parasiticus. Peanut Science. 1985, 12: 12-17. 10.3146/pnut.12.1.0004.
Mehan VK, McDonald D, Ramakrishna N, Williams JH: Effect of cultivar and date of harvest on infection of peanut seed by Aspergillus flavus and subsequent contamination with aflatoxin. Peanut Science. 1986, 13: 46-50. 10.3146/i0095-3679-13-2-1.
Mehan VK, McDonald D, Rajagopalan K: Resistance of peanut cultivars to seed infection by Aspergillus flavus in field trials in India. Peanut Science. 1987, 14: 17-21. 10.3146/i0095-3679-14-1-5.
Mehan VK, Rao RCN, McDonald D, Williams JH: Management of drought stress to improve field screening of peanuts for resistance to Aspergillus flavus. Phytopathology. 1988, 78: 659-663. 10.1094/Phyto-78-659.
Waliyar F, Hassan H, Bonkoungou S, Bose JP: Sources of resistance to Aspergillus flavus and aflatoxin contamination in groundnut cultivars in west Africa. Plant Dis. 1994, 78: 704-708. 10.1094/PD-78-0704.
Will ME, Holbrook CC, Wilson DM: Evaluation of field inoculation techniques for screening peanut cultivars for reaction to preharvest A. flavus group infection and aflatoxin contamination. Peanut Science. 1994, 21: 122-125. 10.3146/i0095-3679-21-2-11.
Payne GA, Brown MP: Genetics and physiology of aflatoxin biosynthesis. Annu Rev Phytopathol. 1998, 36: 329-362. 10.1146/annurev.phyto.36.1.329.
Luo M, Brown RL, Chen ZY, Cleveland TE: Host genes involved in the interaction between Aspergillus flavus and maize. Toxin Reviews. 2009, 28 (2-3): 118-128. 10.1080/15569540903089197.
Domer JW, Cole RJ, Sanders TH, Blankenship PD: Interrelationship of kernel water activity, soil temperature, maturity, and phytoalexin production in pre-harvest aflatoxin contamination of drought-stressed peanuts. Mycopathologia. 1989, 105: 117-128. 10.1007/BF00444034.
Wotton HR, Strange RN: Circumstantial evidence for phytoalexin involvement in the resistance of peanuts to Aspergillus flavus. J Gen Microbiol. 1985, 131: 487-494.
Luo M, Liang XQ, Dang P, Holbrook CC, Bausher MG, Lee RD, Guo BZ: Microarray-based screening of differentially expressed genes in peanut in response to Aspergillus parasiticus infection and drought stress. Plant Science. 2005, 169: 695-703. 10.1016/j.plantsci.2005.05.020.
Chen ZY, Brown RL, Damann KE, Cleveland TE: Identification of maize kernel endosperm proteins associated with resistance to aflatoxin contamination by Aspergillus flavus. Phytopathology. 2007, 97 (9): 1094-1103. 10.1094/PHYTO-97-9-1094.
Chen ZY, Brown RL, Guo BZ, Menkir A, Cleveland TE: Identifying aflatoxin resistance-related proteins/genes through proteomics and RNAi gene silencing. Peanut Science. 2009, 36: 35-41. 10.3146/AT07-005.1.
Zhou GY, Liang XQ, Li YC, Li SX, Li SL: Genetic analysis of main agronomic traints in resistant and susceptible peanut cultivars to Aspergilluse flavus infection. Peanut Science and Technology. 1999, 140-143. supplement
Liang XQ, Luo M, Holbrook CC, Guo BZ: Storage protein profiles in Spanish and runner market type peanuts and potential markers. BMC Plant Biology. 2006, 6: 1-24. 10.1186/1471-2229-6-24.
Kottapalli KR, Payton P, Rakwal R, Agrawal GK, Shibato J, Burow M, Puppala N: Proteomics analysis of mature seed of four peanut cultivars using two-dimensional gel electrophoresis reveals distinct differential expression of storage, anti-nutritional, and allergenic proteins. Plant Science. 2008, 175: 321-329. 10.1016/j.plantsci.2008.05.005.
Ohyanagi H, Tanaka T, Sakai H, Shigemoto Y, Yamaguchi K, Habara T, Fujii Y, Antonio BA, Nagamura Y, Imanishi T, Ikeo K, Itoh T, Gojobori T, Sasaki T: The Rice Annotation Project Database (RAP-DB): hub for Oryza sativa ssp. japonica genome information. Nucleic Acids Res. 2006, 34: 741-714. 10.1093/nar/gkj094.
Shimotohno A, Umeda-Hara C, Bisova K, Uchimiya H, Umeda M: The plant-specific kinase CDKF;1 is involved in activating phosphorylation of cyclin-dependent kinase-qctivating kinases in arabidopsis. The Plant Cell. 2004, 16: 2954-2966. 10.1105/tpc.104.025601.
Lane BG, Dunwelll JM, Rag JA, Schmitt MR, Cumin AC: Germin, a protein marker of early plant development, is an oxalate oxidase. The Journoa of Biological chemistry. 1993, 68 (17): 12239-12242.
Rollins JA: The Sclerotinia sclerotiorum pac1 gene Is required for sclerotial development and virulence. MPMI. 2003, 16 (9): 785-795. 10.1094/MPMI.2003.16.9.785.
Livingstone DM, Hampton JL, Phipps PM, Grabau EA: Enhancing resistance to sclerotinia minor in peanut by expressing a barley oxalate oxidase gene1. Plant Physiology. 2005, 137: 1354-1362. 10.1104/pp.104.057232.
Manosalva PM, Davidson RM, Liu B, Zhu XY, Hulbert SH, Leung H, Leach JE: A germin-like protein gene family functions as a complex quantitative trait locus conferring broad-spectrum disease resistance in rice. Plant Physiology. 2009, 149: 286-296. 10.1104/pp.108.128348.
Banerjee J, Maiti MK: Functional role of rice germin-like protein1 in regulation of plant height and disease resistance. Biochemical and Biophysical Research Communications. 2010, 394: 178-183. 10.1016/j.bbrc.2010.02.142.
Sugiyama K, Hayakawa T, Kudo T, Ito T, Yamaya T: Interaction of N-acetylglutamate kinase with a PII-like protein in rice. Plant Cell Physiol. 2004, 45: 1768-1778. 10.1093/pcp/pch199.
Ferrario-Me'ry S, Besinb E, Pichonc O, Meyera C, Hodgesb M: The regulatory PII protein controls arginine biosynthesis in Arabidopsis. FEBS Letters. 2006, 580: 2015-2020.
Zhu B, Chen TH, Li PH: Expression of three osmotine-like protein genes in response to osmotic stress and fungal infection in potato. Plant Mol Biol. 1995, 28: 17-26. 10.1007/BF00042034.
Chen ZY, Brown RL, Damann KE, Cleveland TE: Identification of unique or elevated levels of kernel proteins in aflatoxin-resistant maize cultivars through proteome analysis. Phytopathology. 2002, 92 (10): 1084-1094. 10.1094/PHYTO.2002.92.10.1084.
Vagner S, Galy B, Pyronnet S: Attracting the translation machinery to internal ribosome entry sites. EMBO report. 2001, 2 (10): 893-898. 10.1093/embo-reports/kve208.
Rizhsky L, Liang H, Shuman J, Shulaev V, Davletova S, Mittler R: When defense advanced research projects networkefense pathways Collide: the response of arabidopsis to a combination of drought and heat stress. Plant Physiology. 2004, 134: 1-14. 10.1104/pp.103.033431.
Mittler R, Zilinskas BA: Regulation of pea cytosolic ascorbate peroxidase and other antioxidant enzymes during the progression of drought stress and following recovery from drought. The Plant Journal. 1994, 5 (3): 397-405. 10.1111/j.1365-313X.1994.00397.x.
Davletova S, Rizhsky L, Liang H, Zhong SQ, Oliver DJ, Coutu J, Shulaev V, Schlauch K, Mittlera R: Cytosolic ascorbate peroxidase 1 is a central component of the reactive oxygen gene network of arabidopsis. The Plant Cell. 2005, 17: 268-281. 10.1105/tpc.104.026971.
Yoshioka K, Matsushita Y, Kasahara M, Konagaya K, Nyunoya H: Interaction of tomato mosaic virus movement protein with tobacco RIO kinase. Mol Cells. 2004, 17 (2): 223-239.
LeBlanc NL, Wlodawer A: The RIO kinases: an atypical protein kinase family required for ribosome biogenesis and cell cycle progression. Biochimica et Biophysica Acta. 2005, 1754: 14-24.
Liang XQ, Pan RC, Zhou GY: Relationship of trypsin inhibitor in peanut seed and resistance to Aspergillus flavus invasion. Acta Agronomica Sinica. 2003, 29 (2): 295-299.
Chen ZY, Brown RL, Lax AR, Guo BZ, Cleveland TE, Russin JS: Resistance to Aspergillus flavus in corn kernels is associated with a 14-kDa protein. Phytopathology. 1998, 88: 276-281. 10.1094/PHYTO.19126.96.36.1996.
King HC, Sinha AA: Gene expression profile analysis by DNA microarrays promise and pitfalls. JAMA. 2001, 286: 2280-2288. 10.1001/jama.286.18.2280.
Anderson WF, Holbrook CC, Wilson DM: Development of greenhouse screening for resistance to Aspergillus parasiticus infection and preharvest aflatoxin contamination in peanut. Mycopathologia. 1996, 135: 115-118. 10.1007/BF00436461.
Gómez-Vidal S, Tena M, Lopez-Llorca LV, Salinas J: Protein extraction from Phoenix dactylifera L. leaves, a recalcitrant material, for two dimensional electrophoresis. Electrophoresis. 2008, 29: 448-456.
Aranda RIV, Dineen SM, Craig RL, Guerrieri RA, Robertson JM: Comparison and evaluation of RNA quantification methods using viral, prokaryotic, and eukaryotic RNA over a 104 concentration range. Analytical Biochemistry. 2009, 387: 122-127. 10.1016/j.ab.2009.01.003.
Alos E, Roca M, Iglesias DJ, Minguez-Mosquera MI, Damasceno CMB, Thannhauser TW: An evaluation of the basis and consequences of a stay-green mutation in the navel negra citrus mutant using transcriptomic and proteomic profiling and metabolite analysis. Plant Physiology. 2008, 147: 1300-1315. 10.1104/pp.108.119917.
Livak KJ, Schmittgen TD: Analysis of relative gene expression data using real-time quantitative PCR and the 2-ΔΔCt method. Methods. 2001, 25: 402-408. 10.1006/meth.2001.1262.
This research was funded by a grant from National High Technology Research Development Project (863) of China (No 2006AA0Z156), Science Foundation of Guangdong province (No07117967) and supported by the earmarked fund for Modern Agro-industry Technology Research System (nycycx-19)
All authors read and approved the final manuscript. TW participated in conceiving the study, material preparation, sequence analysis and drafting the manuscript. EZ carried out the 2-D analysis. XC participated in conceiving the study, designing the real time PCR primers and data analysis. LL participated in conceiving the study and material preparation. XL participated in conceiving the study, data analysis and drafting the manuscript