Validation of candidate genes putatively associated with resistance to SCMV and MDMV in maize (Zea mays L.) by expression profiling
© Użarowska et al; licensee BioMed Central Ltd. 2009
Received: 24 July 2008
Accepted: 02 February 2009
Published: 02 February 2009
The potyviruses sugarcane mosaic virus (SCMV) and maize dwarf mosaic virus (MDMV) are major pathogens of maize worldwide. Two loci, Scmv1 and Scmv2, have ealier been shown to confer complete resistance to SCMV. Custom-made microarrays containing previously identified SCMV resistance candidate genes and resistance gene analogs were utilised to investigate and validate gene expression and expression patterns of isogenic lines under pathogen infection in order to obtain information about the molecular mechanisms involved in maize-potyvirus interactions.
By employing time course microarray experiments we identified 68 significantly differentially expressed sequences within the different time points. The majority of differentially expressed genes differed between the near-isogenic line carrying Scmv1 resistance locus at chromosome 6 and the other isogenic lines. Most differentially expressed genes in the SCMV experiment (75%) were identified one hour after virus inoculation, and about one quarter at multiple time points. Furthermore, most of the identified mapped genes were localised outside the Scmv QTL regions. Annotation revealed differential expression of promising pathogenesis-related candidate genes, validated by qRT-PCR, coding for metallothionein-like protein, S-adenosylmethionine synthetase, germin-like protein or 26S ribosomal RNA.
Our study identified putative candidate genes and gene expression patterns related to resistance to SCMV. Moreover, our findings support the effectiveness and reliability of the combination of different expression profiling approaches for the identification and validation of candidate genes. Genes identified in this study represent possible future targets for manipulation of SCMV resistance in maize.
SCMV and MDMV are positive-sense single strand RNA potyviruses that cause significant yield loss in susceptible genotypes of maize, sugarcane, and sorghum [1, 2]. SCMV is notably harmful in Europe and China, MDMV in the southern US Corn Belt . Both closely related potyviruses are transmitted in a non-persistent manner by aphids mainly to members of the Poaceae family . Disease symptoms are mosaic, chlorosis, leaf reddening, necrosis, and stunting [2, 5]. Both viruses spread systemically and particularly fast in young susceptible plants .
Out of 122 early-maturing maize dent inbred lines investigated by Kuntze et al. , three (D21, D32, and FAP1360A) were found to be completely resistant to SCMV, MDMV, JGMV, and SrMV, both in field and greenhouse experiments. Depending on the population used, one to five genes were assumed to be required for complete SCMV or MDMV resistance [3, 8–11]. Two major SCMV resistance genes, Scmv1 and Scmv2 were mapped to chromosomes 6S and 3L, respectively, by utilising QTL mapping and bulked segregant analysis (BSA) [1, 12–14]. Additional three minor QTL were identified on chromosomes 1, 5, and 10 . Presence of resistance alleles at both loci, Scmv1 and Scmv2, is crucial for complete SCMV resistance. Scmv1 suppresses symptoms at all developmental stages, Scmv2 at later stages of infection [1, 15]. One major MDMV resistance gene (Mdmv1) mapped to the same region of chromosome 6S as Scmv1. So far, it is not clear, whether or not Mdm1 and Scmv1 are the same or closely linked genes. The Scmv1/Mdmv1 chromosome region contains a cluster of resistance gene analogues [4, 16], making both possibilities equally likely.
Expression profiling based on microarrays allows generation of global gene expression patterns for any developmental stage, tissue type, or environmental factor . The method has previously been successfully applied for identification of SCMV resistance candidate genes in maize [18, 19]. Suppression Subtractive Hybridization (SSH) and unigene-microarrays identified a subset of differentially expressed genes in response to SCMV infection, the majority of which related to cell rescue and defence, signal transduction, and transcription categories. Moreover, some of the genes identified co-localised with SCMV resistance genes Scmv1 and Scmv2. Thus, expression profiling seems to be an appropriate tool to study host-resistance responses and to detect pathogenesis-related genes.
The objectives of this study were to a) compare expression profiles of four near-isogenic lines after infection with SCMV or MDMV: F7 SS/SS, F7 RR/RR, F7 SS/RR and F7 RR/SS, carrying fixed susceptibility (S) or resistance alleles (R) at the Scmv2 and Scmv1 locus, respectively; b) compare expression patterns between time points, from the time of mechanical inoculation until 24 hours after inoculation; c) compare expression profiles for infection with two different viruses; d) investigate the potential and reliability of the combination of two expression profiling technologies, such as microarrays and quantitative real time RT-PCR in the identification of validated differentially expressed genes for SCMV/MDMV resistance; e) identify candidate genes for Scmv1 and Scmv2 that could potentially be utilised in breeding for virus resistance; and f) relate the findings of this study to previous SCMV experiments.
SCMV/MDMV phenotype analysis
Twenty-two out of 32 and 27 out of 32 F7 SS/SS plants showed visible disease symptoms two weeks after inoculation with SCMV and MDMV, respectively. Symptom appearance was not tested for additional weeks, due to previous experience with the potyvirus pathosystem, where 100% infected plants of the susceptible genotype occur at later stages (three to seven weeks). The occurance of symptoms in the other three near-isogenic lines depends on the presence of resistance loci and has been thoroughly tested before [1, 20].
cDNA microarray-based expression profiling
SCMV experiment: within-time-point analysis
28 significantly differentially expressed genes after SCMV inoculation within time points.
- F7 RR/RR
exon 1 (eIF3E barley gene)
Six pair-wise genotype-contrasts were considered. Most significantly differentially expressed genes summarised over all time points were found between F7 RR/RR - F7 SS/RR (18 genes), followed by F7 RR/RR - F7 RR/SS (11 genes), and F7 SS/SS - F7 RR/RR (9 genes) (Table 1). Out of the 28 different genes showing differential expression, 13 were in common among two pair-wise contrasts, 7 among three and 2 among four pair-wise contrasts. None of the genes showed common differential expression among five or all six pair-wise comparisons.
Two genes (605018B04.x1 and 605018B03.x1) were most commonly significantly differentially expressed within time points and for different genotype pairs, 12 and 7 times respectively (Table 1, see Additional file 1).
SCMV experiment: between-time-point analysis
All 28 genes from the within-time-point analysis were also significantly differentially expressed in the between-time-point analysis (see Additional file 2).
Comparison to previous SCMV studies
In order to maximise the chance to identify putative candidate genes involved in resistance to SCMV and MDMV, pre-selected SCMV candidate genes were spotted on the array utilised for this study. Shi et al. [18, 19], in their studies on SCMV infected maize reported 302 and 497 differentially expressed genes when utilising macro- and microarray approaches, respectively. 451 of those genes were successfully amplified and included in our microarray experiments. The remaining about 40% of genes included on our custom microarray comprised resistance candidate genes and resistance gene analogues. For the 65 sequences, differentially expressed within-time points, 80% were derived from the pre-selected genes. When considering redundancy of detecting the same gene within time points repeatedly, 4.4% (21 genes) of the pre-selected genes, but only 1.6% resistance gene analogues (7 genes) showed differential expression.
Ontology description of genes differentially expressed in the SCMV experiment
Maize molecular function GO assignment http://www.maizegdb.org/ was performed for 20 significantly differentially expressed ESTs with available annotations from the within-time-point experiment. Since more than one biological function can be assigned, 30 GO hits with 19 GO terms were obtained. Out of these, six each were assigned to catalytic activity (homology to sphingolipid/alcohol dehydrogenase and phosphatidic acid phosphatase) and molecular function unknown (homology to S-like RNase or 26S ribosomal RNA), respectively, four to transporter activity (homology to cytochrome c and sphingolipid/alcohol dehydrogenase) and three to binding activity (homology to metallothionein-like protein and sphingolipid/alcohol dehydrogenase) (see Additional file 1). Moreover, three homologous genes (pathogenesis-related protein, alcohol dehydrogenase, and glutathione S-transferase) have been previously determined as pathogenesis-related genes .
Genetic map positions
Map positions for SCMV identified significantly differentially expressed ESTs and RGAs (sequences from CAU collection)
bin 1 (1.02)3, bin 6 (6.00)4, bin 7 (7.02)3
bin 3 (3.09)2
bin 8 (8.04)1,2
bin 10 (10.04)1,3
bin 8 (8.06)2
bin 1 (1.06)3
bin 10 (10.04)1,3
1.07; 2.04; 2.09; 4.08; 10.04
MDMV experiment: within-time- point analysis
Only two genes were significantly differentially expressed in the MDMV experiment at a FDR level of p ≤ 0.05 within time points. The two genes were significantly differentially expressed at two different time points and all were up-regulated in F7 SS/SS. One of the two genes (605018B04.x1) was also significantly differentially expressed within time points in the SCMV experiment. The fold of change did not exceed 3-fold for all three significant gene × time point combinations (data not shown).
GO description for 605018B04.x1 was binding activity (metallothionein-like protein), whereas no GO assignment but homology to a solanesyl diphosphate synthase was found for the second gene (947026D04.x1) http://www.tigr.org/.
MDMV experiment: between-time-point analysis
Forty-six percent out of 7260 observations showed significant differential expression between time points at a FDR p level ≤ 0.05. The majority of up-regulated differentially and significantly differentially expressed genes were found for T1 (see Additional file 3). Distribution of genes regarding their fold changes is shown in Additional file 4.
The two genes (605018B04.x1, 947026D04.x1) identified in the within-time-point analysis as significantly differentially expressed were also significantly differentially expressed in the between-time-point analysis (see Additional file 5).
SCMV experiment: quantitative RT-PCR
Sequence homologies for selected SCMV differentially expressed genes
fold of change
TIGR description (homology)
Map position (bin)
Molecular function unknown
gb|AF036494.1|AF036494 Eucryphia lucida large subunit 26S ribosomal RNA gene, partial sequence, partial (52%)
UP|Q5U7K6_9POAL (Q5U7K6) Metallothionein-like protein, partial (94%)
UP|METK_ORYSA (P46611) S-adenosylmethionine synthetase 1 (Methionine adenosyltransferase 1) (AdoMet synthetase 1), complete
UP|14331_MAIZE (P49106) 14-3-3-like protein GF14-6, complete
UP|METK_ORYSA (P46611) S-adenosylmethionine synthetase 1 (Methionine adenosyltransferase 1) (AdoMet synthetase 1), complete
similar to UP|O49000_ORYSA (O49000) Germin-like protein 4, complete
Comparison of SCMV microarray and qRT-PCR results
Fold of change
Microarrays: four biological replications (average) ± SE
qRT: four biological replications (average) ± SE
Coefficients of determination (R) target/reference
PCR efficiencies target/reference
2.1 (± 0.16)
1.6 (± 0.18)
2.6 (± 0.15)
89.2 (± 14.82)
1.7 (± 0.18)
1.2 (± 0.18)
1.6 (± 0.12)
1.4 (± 0.13)
2.0 (± 0.26)
2.7 (± 0.37)
1.4 (± 0.13)
2.7 (± 0.19)
Differential expression of the metallothionein-like protein homologue (605018B04.x1) was validated by qRT-PCR with a fold change of 89.2 (average from four biological replications) as compared to 2.6 (p = 0.0) fold from microarray experiments. The S-adenosylmethionine synthetase 1 gene (946063C12.y1) and germin-like protein 4 (za72g09.b50) were validated with a fold of 2.7, as compared to 2.0 and 1.4 fold from microarrays, respectively. The putative 26S ribosomal RNA gene (605018B03.x1) and the S-adenosylmethionine synthetase 1 gene (946126A02.y1) were not validated when averaging four biological replications (1.6 and 1.2 fold, respectively), but had significant fold of changes in one of the four replications (data for separate replications not shown). The 14-3-3- like protein GF14-6 (Zm06_09h07_R) was not validated by qRT in any of the four biological replications. However, the fold value for three replications ranged from 1.6 to 1.7 fold.
Validation and reliability of data
Comparison to previously published data
The purpose of this study was to identify and validate genes involved in resistance response to SCMV and MDMV. In previous SCMV experiments [18, 19], a set of candidate genes was identified to show significant differential expression between near-isogenic SCMV resistant and susceptible inbred lines. These genes, together with resistance gene analogs (RGAs) were spotted on our cDNA SCMV array. Twice as many genes based on earlier studies showed differential expression as compared to RGAs, indicating usefulness of pre-selection and reliability of microarray approach.
Comparison of SCMV and MDMV experiments
The MDMV experiment was set up to compare response of isogenic lines containing Scmv1 and/or Scmv2 regions from the resistant FAP1360A inbred line to related but different viruses. Comparative studies of related viruses displaying common symptoms in the same host offer an opportunity to link changes in global gene expression to specific symptoms and to identify common genes involved in resistance responses . It was assumed in the experimental design that F7 RR/RR demonstrates full resistance to both SCMV and MDMV . However, the finding of only very few significantly differentially expressed genes within time points in the MDMV compared to the SCMV experiment supports the reliability of our SCMV results, because the MDMV experiment compared only susceptible, while the SCMV experiment resistant and susceptible isogenic genotypes.
Comparison of array and qRT data
One of the most important issues after performing microarray experiments is validation of their results. Preferentially significantly differentially expressed genes within time points for comparisons of F7 RR/RR with F7 SS/RR or F7 RR/SS were considered. The 26S ribosomal RNA gene was chosen because of its putative map position on chromosome 6 and high fold change, whereas the gene putatively expressing a metallothionein-like protein was selected due to its high fold change and differential expression at all time points. The gene putatively expressing a 14-3-3-like protein GF14-6 and the S-adenosylmethionine synthetase 1 were selected due to their expression pattern, and the germin-like protein 4 due to its map location on chromosome 3.
The genes coding for metallothionein-like protein, S-adenosylmethionine synthetase 1, and germin-like protein 4 were confirmed by qRT experiments to be differentially expressed at significant levels. The germin-like protein showed very high PCR efficiencies, a likely result of template quantity, presence of inhibitor or high RNA purity (data not shown). Differential expression of the 26S ribosomal RNA gene and the second S-adenosylmethionine synthetase 1 gene was confirmed, but only in one of the four biological replications. Possible reasons of these findings are a) false positive results in microarray experiments, b) pooled performance (biological and technical replications) of array data as compared to analysis of pooled technical but separate biological replications for qRT, or c) low fold change values from microarray experiments (despite of significance), which might be difficult to reproduce by other methods if close to the significance threshold. Similar findings were reported by Czechowski et al.  and Dallas et al. , who indicated that only genes with higher expression levels from microarray experiments (> 1.5 folds of change) are likely to be validated by qRT-PCR.
Molecular mechanisms of plant response reaction to virus invasion
Candidate genes identified in this study were annotated according to Maize Gene Ontology Assignment to three major groups: genes encoding catalytic activity (oxidoreductase and hydrolase activities), genes with molecular function unknown, and genes encoding transporter activity (electron transporter activity). Catalysis provides chemical energy required for maintenance of living cells and is of particular importance for the plant while delimiting pathogen invasion. Catalytic activity of oxidoreductase (redox reactions) has been speculated to be crucial for the survival of host plants, since it is required for energy transduction, operation of many anabolic and catabolic pathways, nutrient assimilation, and for defence against disease organisms .
One of the functions of redox activity is the formation of hydrogen peroxide (H2O2), which generates a response to pathogen attack and enhances cells lignification and/or structural protein polymerization, thus producing a mechanical barrier for the invader that have not yet entered the symplasm. A rapid oxidative burst of H2O2 production has been previously reported as a result of pathogen invasion [26–29]. Moreover, Apostol et al.  speculated that H2O2 production may be part of a signal transduction mechanism for coordination of cellular defences. Furthermore, redox reactions depend on electron supply and active oxygen species. Therefore, electron transfer activity is thought to be unseparable from defence mechanisms .
Additional comparative gene annotation was based on results obtained by Whitham et al.  on Arabidopsis infected with five distinct viruses, including a mosaic potyvirus. Three homologous genes (pathogenesis-related protein, alcohol dehydrogenase and glutathione S-transferase) were identified in the classes cell rescue, defence, death, and ageing of Arabidopsis, thus indicating the reliability of microarray technology for detection of pathogenesis-related genes.
Association of map positions of differentially expressed candidate genes with Scmv1 and Scmv2
A virus resistance gene needs to be expressed before pathogen invasion, in order to enable a rapid response after infection. Its expression may increase further after virus attack. In previous QTL experiments , Scmv1 (as QTL) was detectable at each scoring time point after inoculation, whereas Scmv2 became first detectable and induced at later scoring stages. Assuming that both Scmv1 and Scmv2 are single genes, clustering of differentially expressed genes in the Scmv1 and Scmv2 genomes regions could either be due to linkage drag of genes located in the polymorphic regions in isogenic line contrasts without effect on SCMV resistance (caused by heterozygosity), or clustering of genes involved in SCMV resistance in the Scmv1 and/or Scmv2 regions. Assuming that each of the two donor segments is 40 cM long, both regions would represent 5% of the total genome (80 cM out of 1600 cM average maize genome size). The percentage of candidate genes (one gene each) falling into either the Scmv1 (6.00–6.01) or Scmv2 bins (3.04–3.05) is 8% (2 out of 24 putative map locations for the 14 mapped differentially expressed genes, Table 2), which is not significantly different from the 0-hypothesis tested by the X2 test (no clustering of differentially expressed genes). Thus, no evidence of clustering of differentially expressed genes in the Scmv1 and Scmv2 regions was found, which also means, that differential gene expression of genes due to linkage drag was limited. Moreover, finding 2 out of 24 gene locations in agreement with the Scmv1 and Scmv2 genome locations is not significantly different from expectations based on probability theory. Thus, colocalization of differentially expressed genes is only a weak indicator for candidacy of being Scmv1 or Scmv2.
Time course data
In contrast to fungi and bacteria, viruses are directly transferred by specific vectors into host cells. The infection cycle includes virus disassembly, RNA translation and replication, new viral particle assembly, and movement. The time required for these processes may vary and be virus/host dependent.
Immediate response of plants against virus attack is obligatory for fast activation of defence mechanisms . Significant differential expression of majority of genes in our study one hour post inoculation, dropping down to about one-third twelve hours post inoculation may be a result of such rapid responses of host plant to viral infection. The anticipation of detected genes in mechanical stress responses proved insignificant in applied mock control experiment.
To arque our statement we present the potyvirus study of Maule et al. , where induction of genes related to pathogenesis (putative protein targeting, virion assembly and trafficking) and to general stress responses was detected immediately after inoculation, similar to the study of Love et al. . Furthermore, Marathe et al. , detected robust plant resistance responses at transcriptome level to potyvirus infection at early (at least three hours post inoculation) time points. Changes in gene expression due to responses initiated by specific interactions between virus and host proteins, for instance potyvirus coat protein VPg with plant eIF4 initiation factor have also been reported . Moreover, rapid silencing and blockade of viral protein expression by modified RNAi was observed within one-two hours post inoculation . In contrast, however Yang et al.  concluded that changes in gene expression depend on virus type and its accumulation (threshold of viral RNA and proteins) in infected tissues hence occur rather at later stages post inoculation. Similarly, Whitham et al.  stated that actual transcriptional changes depend on the progress of viral infection.
The conflicting observations of different research groups might be due to host-virus system specificity and need to be studied in more detail, before generalizations can be made.
Candidate genes and their involvement in signal transduction pathways
Metallothioneins are known to be involved in metal binding/metabolism and detoxification reactions in animals and yeasts [40, 41]. Slightly modified functions of metallothioneins have been reported in plants, where their increased expression was observed in senesced leaflet and abscission zones, under ethylene induction, or as a consequence of mechanical wounding when infecting tobacco with TMV virus was obsereved [42–44]. Moreover, a possible role of metallothioneins in controlling intracellular redox potential and activation of oxygen detoxification, a common strategy used by plants after pathogen invasion was suggested by Hamer . Finding of metallothionein-like protein expressed in all time points (including mock control at significant fold of change) and for both viruses may suggest its differential expression as a cause of mechanical wounding. However, its participation in pathogen control cannot be ruled out.
S-adenosylmethionine synthetase is a key enzyme involved in generation of S-adenosylmethionine from methionine. S-adenosylmethionine is a major methyl donor in plants involved in polyamin and ethylene biosynthesis as well as in methylation reactions modifying lipids, proteins and nucleic acids [45–47]. Ethylene plays an important role in various plant disease resistance pathways. It has originally been considered a stress hormone due to its synthesis induced by stress signals, such as mechanical wounding, chemicals and metals, drought, extreme temperatures, and pathogen infection [46, 48]. Some pathogens can induce plant defence responses via activation of the ethylene signal transduction pathway, whereas plants deficient in ethylene signalling may show either increased susceptibility or increased resistance [49, 50]. Alternatively, methylation of the fully susceptible F7 SS/SS genotype might be reduced as revealed in our study by the upregulation of S-adenosylmethonine synthetase isoforms (946126A02.y1, 1091032B12.y1 a and b, 946063C12.y1) in all other genotypes. Resistance to SCMV and MDMV might depend on the methylation status of the plant, relating to post-transcriptional gene silencing mediated by HEN1 like methyltransferase .
Germins are water-soluble proteins expressed during seed germination in very young seedlings of wheat and barley. In mature leaves they are induced in response to pathogen attack . In plants other than wheat and barley, sequences related to germins are termed "germin-like". Germins and germin-like proteins were isolated from hot pepper during resistance response to bacterial and viral infection [52, 53]. Pathogen response functions of germins were discovered with the identification of germin as an oxalate oxidase generating hydrogen peroxide. H2O2 is a catalyst of cell-wall reinforcement (oxidative cross-linking) and a basis for defence reactions in higher plants. The specific-pathogen-response OXO transcript was found in the wall of barley mesophyll cells six hours after inoculation with powdery mildew . However, it is still unclear if germin-like proteins also have oxalate-oxidase activity and if their biological function is comparable to germins [55–59].
A common feature of expression patterns of genes in the resistant genotype F7 RR/RR is lack of signs of oxidative damage (downregulation of class III peroxidases and germins), whereas partially resistant and susceptible genotypes showed upregulation of genes controlling production of hydrogen peroxide. Furthermore, oxidative damage could affect chloroplasts, perturbing their proper function as shown for response to plum pox potyvirus . The analysis of SCMV cylindrical inclusion (CI) virus protein (NP_734137), known to be involved in virus replication and cell-to-cell movement , with the ChloroP 1_1 CBS tool http://www.cbs.dtu.dk/services/ChloroP/ revealed a possible chloroplast transit peptide of 65 amino acids . This could explain upregulation of the 14-3-3 proteins (Zm06_09h07_R) in genotypes other than the fully resistant genotype F7 RR/RR. 14-3-3 proteins are known to target the transit peptide to the chloroplast, where it will be cleaved upon entrance as shown for other potyvirus .
The putative antiviral function of 26S ribosomal RNA gene in ribosome depurination and blocking of translation of viral genetic materials was reported by Taylor et al. . Other genes putatively related to pathogenesis, coding for example a calcium dependent protein kinase, cytochrome c, a zinc finger protein, a peroxidase precursor, an ubiquitin-conjugating enzyme, 40S ribosomal protein or eukaryotic translation initiation factor 4E, were identified in our microarray assay. The involvement of calcium dependent protein kinase (CDPK) in defence signalling has been investigated in transgenic tobacco cell cultures, where CDPK was found to be activated in Avr9/Cf-9 gene-for-gene-dependent signal transduction, as well as in tobacco leaves after Avr9/Cf-9 interaction and hypoosmotic stress [65, 66]. Its participation in signal transduction pathways in Arabidopsis infected with cucumber mosaic virus was demonstrated by Marathe et al. . Cytochrome c has been previously reported to give an apoptotic-like response under Agrobacterium infection of maize suspension cells and was called a cell death inducer released from mitochondria during ROS-induced programmed cell death in plants [67–69]. Furthermore, zinc finger proteins were found to be induced by various types of stresses (for example ethylene treatment), under viral and fungal inoculation [38, 70]. An Arabidopsis zinc-finger protein encoded by the LSD1 gene acts as a negative regulator of hypersensitive response to restrict the spreading of cell death . Class III peroxidases (plant-specific oxidoreductase) participate in lignification, suberization, wound healing and defence against pathogen infection. Increased mRNA levels of POX and its increased activity was previously reported in plants upon mechanical wounding in various plants [72, 73], [74–77]. Finally, altered expression of ubiquitin-conjugating enzyme, 40S ribosomal protein, and eukaryotic translation initiation factor 4E were identified under infection with various potyviruses [33, 38, 35, 78].
In summary, based on the results of our custom microarray, the majority of differentially expressed genes belong to the oxidative and methylation pathways, as well as pathways involved in primary and secondary responses to virus attack. Oxidative insensitivity and methylation status of the F7 RR/RR genotype seem to play important roles for resistance to SCMV and MDMV, pointing towards post-transcriptional gene silencing as major underlying defence mechanism.
The presented data indicate successful identification of similar expression patterns between mono- and dicotyledonous species and deliver new insights into the defense response mechanisms of monocot plants against potyviruses. In future, application of complementary technologies, such as transgenic approaches, infection studies with potyviruses including green fluorescent protein, virus-induced gene silencing or global proteome profiling will allow further and in-depth verification of the data.
Four near-isogenic homozygous maize (Zea mays L.) genotypes were produced at Research Centre Flakkebjerg, Denmark. The SCMV resistant near-isogenic line F7 RR/RR (with introgressions at two genome regions conferring resistance to SCMV on chromosomes 3 and 6) was derived from a cross between Flint line F7 (susceptible to SCMV) and Dent line FAP1360A (completely resistant to SCMV) after seven backcrosses to F7 and three selfing generations . F7 RR/SS (resistance allele from FAP1360A fixed at Scmv2) and F7 SS/RR (resistance allele from FAP1360A fixed at Scmv1) were derived from F7 RR/RR by applying SSR markers in the Scmv1 and Scmv2 regions after an initial cross and subsequent selfings.
Design of greenhouse trials
Plants were grown under controlled greenhouse conditions for 14 days before virus inoculation at ~24°C during the day and ~18°C at night. Plants inoculated with SCMV or MDMV were grown in separate greenhouse cabins in order to avoid cross-contamination. SCMV infected plants were grown in five blocks (= time points) with four biological replicates each, four near-isogenic genotypes within replicates and eight plants per genotype and replicate. Each plant was grown in a separate pot and eight plants of the same genotype were arranged in rows within biological replications. A sixth block was used for mock control.
The MDMV infected plants were grown in two blocks (= time points), with four biological replicates each, two near-isogenic genotypes per replicate (F7 RR/RR and F7 SS/SS), and eight plants per genotype and replicate in separate pots, like in the SCMV experiment.
Inoculation and harvest of leaf material
14 days after sowing leaf samples for the SCMV experiment were harvested at time point one (T1: before inoculation), followed by mechanical rub inoculation and harvesting at time point 2 (T2: one hour after inoculation), time point 3 (T3: six hours after inoculation), time point 4 (T4: twelve hours after inoculation) and time point 5 (T5: twenty four hours after inoculation). Mock control plants were inoculated with water and harvested before inoculation with SCMV (one our after "inoculation"). Mock plants were assigned as T9. Plants for the MDMV experiment were harvested at time points T2 and T3, while T1 and T9 samples were utilised from the SCMV experiment. The four youngest and fully developed leaves from eight plants per genotype and replication were inoculated, subsequently harvested, quick-frozen and stored at -80°C.
The SCMV inoculation mixture was prepared from 4–5 young leaves of SCMV inoculated susceptible F7 SS/SS adult plants displaying typical mosaic symptoms, homogenized in five volumes of a 0.01 M phosphate buffer (pH 7.0) and mixed with carborundum. SCMV isolate "Seehausen" was utilized. MDMV inoculation was performed in the same way using a highly pathogenic Italian MDMV isolate.
To evaluate the infection ratio for both viruses, inoculated susceptible F7 SS/SS plants were grown for additional two weeks after leaf harvest for RNA experiments to determine mosaic symptoms. Those plants, where leaves were harvested one hour after inoculation, were validated for the presence of virus symptoms after two weeks.
mRNA was isolated from sixteen randomly chosen leaves (half of the harvested stock) per entry and replication using DynaBeads oligo(dT)25 (Dynal Biotech, Oslo, Norway). Reverse transcription was performed with SuperScript II (Invitrogen GmbH, Karlsruhe, Germany) and second strand synthesis by Klenow DNA polymerase I (Fermentas Life Sciences, St. Leon-Rot, Germany) on Dynabeads with incorporation of aa-dUTP's. Samples were labelled with Cy3 and Cy5 (Amersham Pharmacia, Piscataway, NJ, USA) and unincorporated dyes were purified with QiaQuick PCR purification kit (QiaGen, Hilden, Germany) according to manufacturer's recommendations. The amount of labelled product was measured spectrophotometrically in a 50 μl quartz cuvette (Cy3-550 nm, Cy5-650 nm). 30 to 60 pmol of Cy3/Cy5 labeled cDNAs were applied to the microarray (Gregersen et al., 2005). Arrays were scanned using GeneTac UC 4 × 4 microarray scanner (GeneMachines™, Genomic Solutions Inc, USA). Quantification was done using Array Vision software (version 8.0, Imaging Research Inc., St. Catharines, Ontario, Canada). The spot grids were manually aligned with the spots for each slide. Details on experimental data are available through EMBL-EBI ArrayExpress http://www.ebi.ac.uk/arrayexpress/ with the accession number E-TABM-586.
SCMV cDNA array fabrication
Maize genes pre-selected for SCMV resistance in preceding experiments [18, 19] cloned into ten different E. coli vectors were obtained from the Arizona BAC/EST resource centre and from the Schnable Lab, Iowa State University, USA, as stab cultures. Resistance genes and resistance gene analogues were obtained from China Agricultural University, Beijing. Plasmid mini-preps were conducted using R.E.A.L® Prep 96 Kit (QiaGen AG, Hilden, Germany) according to manufacturer's instructions and PCR amplification was done using primers designed for each vector (Primer Express™ software, version 1.5, Applied Biosystems, Foster City, USA) (see Additional file 6). Quality of PCR products was checked on 1.5% agarose gels and quantified by GelPro Analyzer software version 3.1 (Media Cybernetics, Inc., Silver Spring, USA). Samples were purified and desalted using ethanol/acetate precipitation (130 μl of EtOH/acetate mix per 50 μl of PCR products). Subsequently, pellets were dissolved in variable amounts of 50% dimethyl sulphoxide (DMSO) to the final concentration of 420 ng/μl and 5 μl of each sample was transferred into 384 well plates and spotted to Nexterion Slides A+ (SCHOTT JENAer GLAS GmbH, Jena, Germany) using the Qarray mini microarray spotter with 16 pins (Genetix GmbH, Munich, Germany). Samples were spotted in triplicate in a 9 × 9 pin group design with 16 pin groups on the chip. After spotting, arrays were air-dried and DNA was cross-linked to the slides by UV irradiation at 450 mJ (Stratalinker, Stratagene). Before hybridization slides were baked at 80°C for 45 – 60 min, boiled in 1 × SSC for 3–5 min to remove access DNA, blocked according to Nexterion blocking protocols, and stored in an exsiccator in dark containers until usage.
The "SCMV array" contained 878 spots tri-plicated (technical replications) across the slide, including 110 wheat controls, 6 maize controls (2 single and 2 doubled), 302 resistance genes and resistance gene analogues (RGAs) from the China Agricultural University (CAU), Beijing (Prof. Mingliang Xu), 451 differentially expressed genes identified in a previous SCMV study [18, 19], 3 published RGAs: pic 13 and pic 19 with duplication , and 3 exons from the eIF3E barley gene with duplication.
144 and 24 arrays were utilised for the SCMV and the MDMV experiment, respectively. The SCMV experiment was carried out with all four near-isogenic genotypes. An unresolvable row-column design was optimized for six possible pairings of genotypes within each time point, where six rows corresponded to six slides and two columns corresponded to the two dyes. The MDMV experiment was carried out with two near isogenic genotypes: F7 SS/SS and F7 RR/RR, using a pair-wise dye-swap design.
Sequence specific primers for reference and target genes for qRT-PCR SCMV experiment
Primer sequence (5' - 3')
Maize actin 1
For : TCC TGA CAC TGA AGT ACC CGA TTG
Rev: CGT TGT AGA AGG TGT GAT GCC AGT T
26S ribosomal RNA gene
For : CAT TCA ATC GGT AGG AGC GAC
Rev: GGT CTT CAA CGA GGA ATG CC
For : ACT CGG CCC ACA CAG CA
Rev: GAG ATG TTG GCG CCG TG
S-adenosylmethionine synthetase 1
For : CCT ATC GGT GTT CGT GGA CA
Rev : TGA TCA TGC CGG GCC T
14-3-3-like protein GF14-6
For : GGG AGC CCC CAA ATT TTA CT
Rev: AGT GTT TGC TGC TGT CGA ATG
S-adenosylmethionine synthetase 1
For : TCC CAA AAC TGA GCT TGA AGC
Rev: GCA GTC TTT GGA TCA AAG CCA
Germin-like protein 4
For : CCC GTC GAA GAA GAA GTC GT
Rev: CTT GCT GCT GAC CCC GTA C
QRT-PCR was conducted with One-Step QuantiTect SYBR® Green RT-PCR Kit (Qiagen AG, Hilden, Germany) on the ABI PRISM™ 7700 Sequence Detection System (Applied Biosystems, Foster City, CA, USA) under the following conditions: 50°C for 30 min, 95°C for 15 min and 45 cycles of 94°C for 30 sec, 58°C for 15 sec, and 72°C for 30 sec in total volumes of 25 μl reactions. Four biological and three technical replications were used for every gene in order to precisely quantify transcript abundance. Dissociation curve analyses were performed to identify primer-dimers and unspecific PCR products. An endogenous reference sequence was derived from the maize actin 1 gene (MAc1) [EMBL-EBI: J01238]
Raw intensity and background values generated by Array Vision, version 8.0 (Imaging Research Inc., St. Catharines, Canada) were utilized for data analysis. The main interest was to determine the expression patterns of pair-wise contrasts between genotypes at the same time point (within-time-point analysis), whereas contrasts of a genotype at two different time points were of secondary interest (between-time-point analysis). Locally weighted scatterplot smoothing (LOWESS) regression was performed to adjust for differences within an array.
where y ijkl is the log2-signal intensity, g i fixed effect for genotype, t j fixed effect for the time point, a k random effect for the array, d l fixed effect for the dye, (g*t) ij genotype and time point interaction and (g*d) il genotype and dye interaction. The calculations were performed with the SAS System for Windows, Version 9.1.
Pair-wise contrasts between different genotype*time combinations in the SCMV experiment were estimated, considering only contrasts between genotypes within one time point and contrasts of one genotype at different time points. The corresponding FDR adjusted p-values and fold changes were determined. Least square means of genotype*time were calculated, i.e., the value of a certain genotype at a specific time point averaged over the other effects. The degrees of freedom for the tests were calculated according to the containment method. SAS (Institute Inc. (1999): SAS/STAT User's Guide, Version 8. Cary, NC). For MDMV data analysis the same linear model was fitted but separate variance terms for mock control and normal data were specified.
Blastn analysis in TIGR Unique Gene Indices http://www.tigr.org/plantgenomics/htdocs/blast_servers.html for maize was performed in order to reveal the putative function of unknown sequences from Arabidopsis thaliana, barley, maize, rice, rye and wheat, with a cut off e-value of 10 (Ros et al., 2004). Additional blastn analyses were performed in MIPS http://mips.gsf.de/ and IRGSP http://rgp.dna.affrc.go.jp/IRGSP/ databases for gaining maximum information about the genes of interest.
The calculations of significances for the number of genes between time points were calculated using the McNemar exact test (SAS System for Windows, Version 9.1).
where E target is the PCR efficiency for the target gene and E ref is the PCR efficiency for the endogenous reference. PCR efficiencies (E = 10 (-1/slope) -1), were derived from calibration data of serially diluted RNA: 100%, 50%, 10%, 5%, 1%, 0.5%, 0.1% and water. ΔCttarget and ΔCtref values were determined as described by Dilger et al. . Baseline and threshold values were adjusted manually if necessary, as recommended by Applied Biosystems http://www.appliedbiosystems.com/support/tutorials/pdf/performing_rq_gene_exp_rtpcr.pdf.
Expressed Sequence Tag
false discovery rate
International Rice Genome Sequencing Project
Johnsongrass Mosaic Virus
Munich Information Center for Protein Sequences
Maize Dwarf Mosaic Virus
polymerase chain reaction
quantitative real-time polymerase chain reaction
quantitative trait locus
resistance gene analogue
reactive oxygen species
Sugarcane Mosaic Virus
Suppression Subtractive Hybridization
Sorghum Mosaic Virus
time point 1–9
The Institute for Genomic Research
We thank Research Centre Flakkebjerg (Denmark) for providing seeds and virus inoculates for this study and particularly Ole Bråd Hansen for his assistance in maintaining maize plants in the greenhouse. Furthermore, we thank the employees of Technical University of Munich, especially technical assistant Elke Nothaft for conduction of mini preps for SCMV arrays fabrication and PhD student Xia Dong for consulting performance of quantitative RT-PCR experiments.
We acknowledge financial support from the German Research Foundation (DFG),
WE 95677-4 and PI 377-2.
- Xia XC, Melchinger AE, Kuntze L, Lübberstedt T: Quantitative trait loci mapping of resistance to sugarcane mosaic virus in maize. Phytopathology. 1999, 89 (8): 660-667. 10.1094/PHYTO.1922.214.171.1240.PubMedView ArticleGoogle Scholar
- Fuchs E, Grüntzig M: Influence of sugarcane mosaic-virus (SCMV) and maize-dwarf mosaic-virus (MDMV) on the growth and yield of two maize varieties. J Plant Dis Prot. 1995, 102 (1): 44-50.Google Scholar
- Louie R, Findley WR, Knoke JK, McMullen MD: Genetic-basis of resistance in maize to five maize-dwarf mosaic-virus strains. Crop Sci. 1991, 31 (1): 14-18.View ArticleGoogle Scholar
- Quint M, Mihaljevic R, Dussle CM, Xu ML, Melchinger AE, Lubberstedt T: Development of RGA-CAPS markers and genetic mapping of candidate genes for sugarcane mosaic virus resistance in maize. Theor Appl Genet. 2002, 105 (2–3): 355-636.PubMedGoogle Scholar
- Comstock JC, Lentini RS: Sugarcane mosaic virus disease. Florida Sugarcane Handbook Florida: Agronomy Department, Florida Cooperative Extension Service, Institute of Food and Agricultural Sciences, University of Florida: Gilbert RA 2002.Google Scholar
- Carrington JC, Kasschau KD, Mahajan SK, Schaad MC: Cell-to-cell and long-distance transport of viruses in plants. Plant Cell. 1996, 8 (10): 1669-1681. 10.1105/tpc.8.10.1669.PubMedPubMed CentralView ArticleGoogle Scholar
- Kuntze L, Fuchs E, Grüntzig M, Schulz B, Klein D, Melchinger AE: Resistance of early-maturing European maize germplasm to sugarcane mosaic virus (SCMV) and maize dwarf mosaic virus (MDMV). Plant Breed. 1997, 116 (5): 499-501. 10.1111/j.1439-0523.1997.tb01038.x.View ArticleGoogle Scholar
- Roane CW, Genter CF, Tolin SA: Inheritance of resistance to maize dwarf mosaic virus in maize [abstract]. Proc Am Phytopathol Soc. 1977, 4: 140-Google Scholar
- Mikel MA, Cleo'ra JDA, Rhodes AM: Genetics of resistance of two dent corn inbreds to maize dwarf mosiac virus and transfer of resistance into sweet corn. Phytopathology. 1984, 74: 467-473. 10.1094/Phyto-74-467.View ArticleGoogle Scholar
- Findley WR, Louie R, Knoke JK: Breeding corn for resistance to corn viruses in Ohio. Proc Annu Corn Sorgh Res Conf. Edited by: Wilkinson DJ. Washington D. C.: American Seed Trade Association; 1984:52-67.Google Scholar
- Rosenkranz E, Scott GE: Determination of the number of genes for resistance to maize dwarf mosaic virus strain A in five corn inbred lines. Phytopathology. 1984, 74 (1): 71-76. 10.1094/Phyto-74-71.View ArticleGoogle Scholar
- Melchinger AE, Kuntze L, Gumber RK, Lübberstedt T, Fuchs E: Genetic basis of resistance to sugarcane mosaic virus in European maize germplasm. Theor Appl Genet. 1998, 96 (8): 1151-1161. 10.1007/s001220050851.View ArticleGoogle Scholar
- Xu ML, Melchinger AE, Xia XC, Lübberstedt T: High-resolution mapping of loci conferring resistance to sugarcane mosaic virus in maize using RFLP, SSR, and AFLP markers. Mol Gen Genet. 1999, 261 (3): 574-581. 10.1007/s004380051003.PubMedView ArticleGoogle Scholar
- Yuan L, Dussle CM, Melchinger AE, Utz HF, Lübberstedt T: Clustering of QTL conferring SCMV resistance in maize. Maydica. 2003, 48 (1): 55-62.Google Scholar
- Dussle CM, Melchinger AE, Kuntze L, Stork A, Lübberstedt T: Molecular mapping and gene action of Scm1 and Scm2, two major QTL contributing to SCMV resistance in maize. Plant Breed. 2000, 119 (4): 299-303. 10.1046/j.1439-0523.2000.00509.x.View ArticleGoogle Scholar
- Lübberstedt T, Ingvardsen C, Melchinger AE, Xing Y, Salomon R, Redinbaugh MG: Two chromosome segments confer multiple potyvirus resistance in maize. Plant Breeding. 2006, 125 (4): 352-356. 10.1111/j.1439-0523.2006.01244.x.View ArticleGoogle Scholar
- Schnable PS, Hochholdinger F, Nakazano M: Global expression profiling applied to plant development. Curr Opin Plant Biol. 2004, 7: 50-56. 10.1016/j.pbi.2003.11.001.PubMedView ArticleGoogle Scholar
- Shi C, Thummler F, Melchinger AE, Wenzel G, Lübberstedt T: Comparison of transcript profiles between near-isogenic maize lines in association with SCMV resistance based on unigene-microarrays. Plant Sci. 2006, 170 (1): 159-169. 10.1016/j.plantsci.2005.08.016.View ArticleGoogle Scholar
- Shi C, Ingvardsen C, Thummler F, Melchinger AE, Wenzel G, Lübberstedt T: Identification by suppression subtractive hybridization of genes that are differentially expressed between near-isogenic maize lines in association with sugarcane mosaic virus resistance. Mol Gen Genomics. 2005, 273 (6): 450-461. 10.1007/s00438-004-1103-8.View ArticleGoogle Scholar
- Xing Y, Ingvardsen C, Salomon R, Lübberstedt T: Analysis of sugarcane mosaic virus resistance in maize in an isogenic dihybrid crossing scheme and implications for breeding potyvirus-resistant maize hybrids. Genome. 2006, 49: 1274-1282. 10.1139/G06-070.PubMedView ArticleGoogle Scholar
- Whitham SA, Quan S, Hur-Song C, Cooper B, Estes B, Tong Z, Wang X, Yu-Ming H: Diverse RNA viruses elicit the expression of common sets of genes in susceptable Arabidopsis thaliana plants. Plant J. 2003, 33: 271-283. 10.1046/j.1365-313X.2003.01625.x.PubMedView ArticleGoogle Scholar
- Dardick CD: Comparative expression profiling of Nicotiana benthamiana leaves systemically infected with three fruit tree viruses. Mol Plant-Microbe Interact. 2007, 20 (8): 1004-1017. 10.1094/MPMI-20-8-1004.PubMedView ArticleGoogle Scholar
- Czechowski T, Bari RP, Stitt M, Scheible WR, Udvardi MK: Real-time RT-PCR profiling of over 1400 Arabidopsis transcription factors: unprecedented sensitivity reveals novel root- and shoot-specific genes. Plant J. 2004, 38 (2): 366-379. 10.1111/j.1365-313X.2004.02051.x.PubMedView ArticleGoogle Scholar
- Dallas PB, Gottardo NG, Firth MJ, Beesley AH, Hoffmann K, Terry PA, Freitas JR, Boag JM, Cummings AJ, Kees UR: Gene expression levels assessed by oligonucleotide microarray analysis and quantitative real-time RT-PCR – how well do they correlate?. BMC Genomics. 2005, 6: 59-10.1186/1471-2164-6-59.PubMedPubMed CentralView ArticleGoogle Scholar
- Rubinstein B, Luster DG: Plasma-membrane redox activity – components and role in plant processes. Annu Rev Plant Physiol Plant Mol Biol. 1993, 44: 131-155. 10.1146/annurev.pp.44.060193.001023.View ArticleGoogle Scholar
- Bowles D: Defense-related proteins in higher plants. Annu Rev Biochem. 1990, 59: 873-907. 10.1146/annurev.bi.59.070190.004301.PubMedView ArticleGoogle Scholar
- Hückelhoven R, Fordor J, Preis C, Kogel K-H: Hypersensitive cell death and papilla formation in barley attacked by the powdery mildew fungus are associated with hydrogen peroxide but not with salicylic acid accumulation. Plant Physiol. 1999, 119: 1251-1260. 10.1104/pp.119.4.1251.PubMedPubMed CentralView ArticleGoogle Scholar
- Dat J, Vandenabeele S, Vranova' E, Van Montagu M, Inze' D, Van Breusegem F: Dual action of the active oxygen species during plant stress responses. Cell Mol Life Sci. 2000, 57: 779-795. 10.1007/s000180050041.PubMedView ArticleGoogle Scholar
- Trujillo M, Troeger M, Niks RE, Kogel K-H, Hückelhoven R: Mechanistic and genetic overlap of barley host and non-host resistance to Blumeria graminis. Mol Plant Pathol. 2004, 5 (5): 389-396. 10.1111/j.1364-3703.2004.00238.x.PubMedView ArticleGoogle Scholar
- Apostol I, Heinstein PE, Low PS: Rapid stimulation of an oxidative burst during elicitation of cultured plant cells. Plant Physiol. 1989, 90: 109-116. 10.1104/pp.90.1.109.PubMedPubMed CentralView ArticleGoogle Scholar
- Noctor G, Foyer CH: Ascorbate and glutathione: keeping active oxygen under control. Annu Rev Plant Physiol Plant Mol Biol. 1998, 49: 249-279. 10.1146/annurev.arplant.49.1.249.PubMedView ArticleGoogle Scholar
- Benhamou N, Nicole M: Cell biology of plant immunization against microbial infection: the potential of induced resistance in controlling plant diseases. Plant Physiol Biochem. 1999, 37 (10): 703-719. 10.1016/S0981-9428(00)86684-X.View ArticleGoogle Scholar
- Maule A, Leh V, Lederer C: The dialogue between viruses and hosts in compatible interactions. Curr Opin Plant Biol. 2002, 5: 279-284. 10.1016/S1369-5266(02)00272-8.PubMedView ArticleGoogle Scholar
- Love AJ, Yun B-W, Laval V, Loake GJ, Milner JL: Cauliflower mosaic virus, a compatible pathogen of Arabidopsis, engages three distinct defense-signalling pathways and activates rapid systemic generation of reactive oxygen species. Plant Physiol. 2005, 139: 935-948. 10.1104/pp.105.066803.PubMedPubMed CentralView ArticleGoogle Scholar
- Marathe M, Guan Z, Anandalakshmi R, Zhao H, Dinesh-Kumar SP: Study of Arabidopsis thaliana resistome in response to cucumber mosaic virus infection using whole genome microarray. Plant Mol Biol. 2004, 55: 501-520. 10.1007/s11103-004-0439-0.PubMedView ArticleGoogle Scholar
- Miyoshi H, Okade H, Suehiro N, Nakashima H, Tomoo K, Natsuaki T: Turnip mosaic virus VPg interacts with Arabidopsis thaliana eIF(iso)4E and inhibits in vitro translation. Biochimie. 2008, 90 (10): 1427-1434. 10.1016/j.biochi.2008.03.013.PubMedView ArticleGoogle Scholar
- Lózsa R, Csorba T, Lakatos L, Burgyán J: Inhibition of 3' modification of small RNAs in virus-infected plants require spatial and temporal co-expression of small RNAs and viral silencing-suppressor proteins. Nucleic Acids Res. 2008, 36 (12): 4099-4107. 10.1093/nar/gkn365.PubMedPubMed CentralView ArticleGoogle Scholar
- Yang C, Guo R, Jie F, Nettleton D, Peng J, Carr T, Yeakley JM, Fan J-B, Whitham SA: Spatial analysis of Arabidopsis thaliana gene expression in response to turnip mosaic virus infection. Mol Plant-Microbe Interact. 2007, 20 (4): 358-370. 10.1094/MPMI-20-4-0358.PubMedView ArticleGoogle Scholar
- Whitham SA, Yang C, Goodin MM: Global impact: elucidating plant responses to viral infection. Mol Plant-Microbe Interact. 2006, 19 (11): 1207-1215. 10.1094/MPMI-19-1207.PubMedView ArticleGoogle Scholar
- Hamer DH: Metallothionein. Annu Rev Biochem. 1986, 55: 913-951.PubMedView ArticleGoogle Scholar
- Furst P, Hu S, Hackett R, Hamer D: Copper activates metallothionein gene-transcription by altering the conformation of a specific DNA-binding protein. Cell. 1988, 55 (4): 705-717. 10.1016/0092-8674(88)90229-2.PubMedView ArticleGoogle Scholar
- Choi D, Kim HM, Yun HK, Park JA, Kim WT, Bok SH: Molecular cloning of a metallothionein-like gene from Nicotiana glutinosa L and its induction by wounding and tobacco mosaic virus infection. Plant Physiol. 1996, 112 (1): 353-359. 10.1104/pp.112.1.353.PubMedPubMed CentralView ArticleGoogle Scholar
- Buchanan-Wollaston V: Isolation of a cDNA clones for genes that are expressed during leaf senescence in Brassica napus. Identification of a gene encoding a senescence-specific metallothionein-like protein. Plant Physiol. 1994, 105: 839-846. 10.1104/pp.105.3.839.PubMedPubMed CentralView ArticleGoogle Scholar
- Coupe SA, Taylor JE, Roberts JA: Characterization of a messenger-RNA encoding a metallothionein-like protein that accumulates during ethylene-promoted abscission of Sambucus-nigra L leaflets. Planta. 1995, 197 (3): 442-447. 10.1007/BF00196665.PubMedView ArticleGoogle Scholar
- Yang SF, Hoffman NE: Ethylene biosynthesis and its regulation in higher-plants. Annu Rev Plant Physiol Plant Mol Biol. 1984, 35: 155-189. 10.1146/annurev.arplant.35.1.155.View ArticleGoogle Scholar
- Kende H: Ethylene biosynthesis. Annu Rev Plant Physiol Plant Mol Biol. 1993, 44: 283-307. 10.1146/annurev.pp.44.060193.001435.View ArticleGoogle Scholar
- Ravanel S, Gakiere B, Job D, Douce R: The specific features of methionine biosynthesis and metabolism in plants. Proc Natl Acad Sci USA. 1998, 95 (13): 7805-7812. 10.1073/pnas.95.13.7805.PubMedPubMed CentralView ArticleGoogle Scholar
- Johnson PR, Ecker JR: The ethylene gas signalling pathway: a molecular perspective. Annu Rev Genet. 1998, 32: 227-254. 10.1146/annurev.genet.32.1.227.PubMedView ArticleGoogle Scholar
- Huang Z, Yeakley JM, Garcia EW, Holdridge JD, Fan J-B, Whitham SA: Salicylic acid-dependent expression of host genes in compatible Arabidopsis -virus interactions. Plant Physiol. 2005, 137: 1147-1159. 10.1104/pp.104.056028.PubMedPubMed CentralView ArticleGoogle Scholar
- Wang KLC, Li H, Ecker JR: Ethylene biosynthesis and signaling networks. Plant Cell. 2002, 14: S131-S151.PubMedPubMed CentralGoogle Scholar
- Hurkman W, Tanaka CK: Germin gene expression is induced in wheat leaves by powdery mildew infection. Plant Physiol. 1996, 111: 735-739.PubMedPubMed CentralGoogle Scholar
- Park C-J, Kim K-J, Shin R, Park J-M, Shin Y-C, Paek K-H: Pathogenesis related protein 10 isolated from hot pepper functions as a ribonuclease in an antiviral pathways. Plant J. 2004, 37: 186-198.PubMedView ArticleGoogle Scholar
- Park C-J, An J-M, Shin J-C, Kim K-J, Lee B-J, Paek K-H: Molecular characterization of pepper germin-like protein as the novel PR-16 family of pathogenesis-related proteins isolated during the resistance response to viral and bacterial infection. Planta. 2004, 219: 797-806.PubMedGoogle Scholar
- Zhou F, Zhang Z, Gregersen PL, Mikkelsen JD, de Neergaard E, Collinge DB, Thordahl-Christensen H: Molecular characterization of the oxalate oxidase involved in the response of barley to the powdery mildew fungus. Plant Physiol. 1998, 117: 33-41. 10.1104/pp.117.1.33.PubMedPubMed CentralView ArticleGoogle Scholar
- Peng M, Kuc J: Peroxidase-generated hydrogen peroxid as a source of antifungal activity in vitro and on tobacco leas discs. Phytopathology. 1992, 82: 696-699. 10.1094/Phyto-82-696.View ArticleGoogle Scholar
- Lane BG, Dunwell JM, Ray JA, Schmitt MR, Cuming AC: Germin, a marker protein of early plant growth, is an oxalate oxidase. J Biol Chem. 1993, 268: 12239-12242.PubMedGoogle Scholar
- Lane BG: Oxalate, germin and the extracellular matrix. FASEB J. 1994, 8: 294-301.PubMedGoogle Scholar
- Dumas B, Freyssinet G, Pallett KE: Tissue specific expression of germin-like oxalate oxidase during development and fungal infection of barley seedlings. Plant Physiol. 1995, 107: 1091-1096.PubMedPubMed CentralGoogle Scholar
- Zhang Z, Collinge DB, Thordal-Christensen H: Germin-like oxalate oxidase, a H2O2-producing enzyme, accumulates in barley attacked by the powdery mildew fungus. Plant J. 1995, 8: 139-145. 10.1046/j.1365-313X.1995.08010139.x.View ArticleGoogle Scholar
- Díaz-Vivancos P, Clemente-Moreno MJ, Rubio M, Olmos E, García JA, Martínez-Gómez P, Hernández JA: Alteration in the chloroplastic metabolism leads to ROS accumulation in pea plants in response to plum pox virus. J Exp Bot. 2008, 59 (8): 2147-2160. 10.1093/jxb/ern082.PubMedPubMed CentralView ArticleGoogle Scholar
- Jiménez I, López L, Alamillo JM, Valli A, García JA: Identification of a plum pox virus CI-interacting protein from chloroplast that has a negative effect in virus infection. Mol Plant-Microbe Interact. 2006, 19 (3): 350-358. 10.1094/MPMI-19-0350.PubMedView ArticleGoogle Scholar
- Emanuelsson O, Nielsen H, Heijne G: ChloroP, a neural network-based method for predicting chloroplast transit peptides and their cleavage sites. Protein Sci. 1999, 8 (5): 978-984. 10.1110/ps.8.5.978.PubMedPubMed CentralView ArticleGoogle Scholar
- Xiang Y, Kakani K, Reade R, Hui E, Rochon D: A 38-amino-acid sequence encompassing the arm domain of the cucumber necrosis virus coat protein functions as a chloroplast transit peptide in infected plants. J Virol. 2006, 80 (16): 7952-7964. 10.1128/JVI.00153-06.PubMedPubMed CentralView ArticleGoogle Scholar
- Taylor S, Massiah A, Lomonossoff G, Roberts LM, Lord JM, Hartley M: Correlation between the activities of five ribosome-inactivating proteins in depurination of tobacco ribosomes and inhibition of tobacco mosaic-virus infection. Plant J. 1994, 5 (6): 827-835. 10.1046/j.1365-313X.1994.5060827.x.PubMedView ArticleGoogle Scholar
- Romeis T, Piedras P, Jones JDG: Resistance gene-dependent activation of a calcium-dependent protein kinase in the plant defense response. Plant Cell. 2000, 12 (5): 803-815. 10.1105/tpc.12.5.803.PubMedPubMed CentralView ArticleGoogle Scholar
- Ludwig AA, Saitoh H, Felix G, Freymark G, Miersch O, Wasternack C, Boller T, Jones JDG, Romeis T: Ethylene-mediated cross-talk between calcium-dependent protein kinase and MAPK signaling controls stress responses in plants. Proc Natl Acad Sci USA. 2005, 102 (30): 10736-10741. 10.1073/pnas.0502954102.PubMedPubMed CentralView ArticleGoogle Scholar
- Laloi C, Apel K, Danon A: Reactive oxygen signalling: the latest news. Curr Opin Plant Biol. 2004, 7 (3): 323-328. 10.1016/j.pbi.2004.03.005.PubMedView ArticleGoogle Scholar
- Robson CA, Vanlerberghe GC: Transgenic plant cells lacking mitochondrial alternative oxidase have increased susceptibility to mitochondria-dependent and -independent pathways of programmed cell death. Plant Physiol. 2002, 129 (4): 1908-1920. 10.1104/pp.004853.PubMedPubMed CentralView ArticleGoogle Scholar
- Hansen G: Evidence for Agrobacterium-induced apoptosis in maize cells. Mol Plant-Microbe Interact. 2000, 13 (6): 649-657. 10.1094/MPMI.2000.13.6.649.PubMedView ArticleGoogle Scholar
- Mukhopadhyay A, Vij S, Tyagi AK: Overexpression of a zinc-finger protein gene from rice confers tolerance to cold, dehydration, and salt stress in transgenic tobacco. Proc Natl Acad Sci USA. 2004, 101 (16): 6309-6314. 10.1073/pnas.0401572101.PubMedPubMed CentralView ArticleGoogle Scholar
- Dietrich RA, Richberg MH, Schmidt R, Dean C, Dangl JL: A novel zinc finger protein is encoded by the Arabidopsis LSD1 gene and functions as a negative regulator of plant cell death. Cell. 1997, 88 (5): 685-694. 10.1016/S0092-8674(00)81911-X.PubMedView ArticleGoogle Scholar
- Lagrimini LM, Rothstein S: Tissue-specificity of tobacco peroxidase isozymes and their induction by wounding and tobacco mosaic-virus infection. Plant Physiol. 1987, 84 (2): 438-442. 10.1104/pp.84.2.438.PubMedPubMed CentralView ArticleGoogle Scholar
- Roberts E, Kutchan T, Kolattukudy PE: Cloning and sequencing of cDNA for a highly anionic peroxidase from potato and the induction of its messenger-RNA in suberizing potato-tubers and tomato fruits. Plant Mol Biol. 1988, 11 (1): 15-26. 10.1007/BF00016010.PubMedView ArticleGoogle Scholar
- Ito H, Kimizuka F, Ohbayashi A, Matsui H, Honma M, Shinmyo A, Ohashi Y, Caplan AB, Rodriguez RL: Molecular-cloning and characterization of two complementary DNAs encoding putative peroxidases from rice (Oryza Sativa L.) shoots. Plant Cell Rep. 1994, 13 (7): 361-366. 10.1007/BF00234138.PubMedView ArticleGoogle Scholar
- Chittoor JM, Leach JE, White FF: Differential induction of a peroxidase gene family during infection of rice by Xanthomonas oryzae pv. oryzae. Mol Plant-Microbe Interact. 1997, 10 (7): 861-871. 10.1094/MPMI.19126.96.36.1991.PubMedView ArticleGoogle Scholar
- Hiraga S, Sasaki K, Ito H, Ohashi Y, Matsui H: A large family of class III plant peroxidases. Plant Cell Physiol. 2001, 42 (5): 462-468. 10.1093/pcp/pce061.PubMedView ArticleGoogle Scholar
- Hiraga S, Ito H, Sasaki K, Yamakawa H, Mitsuhara I, Toshima H, Matsui H, Honma M, Ohashi Y: Wound-induced expression of a tobacco peroxidase is not enhanced by ethephon and suppressed by methyl jasmonate and coronatine. Plant Cell Physiol. 2000, 41 (2): 165-170.PubMedView ArticleGoogle Scholar
- Robaglia C, Caranta C: Translation initiation factors: a weak link in plant RNA virus infection. Trends Plant Sci. 2006, 11: 40-45. 10.1016/j.tplants.2005.11.004.PubMedView ArticleGoogle Scholar
- Collins NC, Webb CA, Seah S, Ellis JG, Hulbert SH, Pryor A: The isolation and mapping of disease resistance gene analogs in maize. Mol Plant-Microbe Interact. 1998, 11 (10): 968-978. 10.1094/MPMI.19188.8.131.528.PubMedView ArticleGoogle Scholar
- Dilger M, Felsenstein FG, Schwarz G: Identification and quantitative expression analysis of genes that are differentially expressed during conidial germination in Pyrenophora teres. Mol Gen Genomics. 2003, 270: 147-155. 10.1007/s00438-003-0910-7.View ArticleGoogle Scholar
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