Skip to main content

Plant disease resistance is augmented in uzu barley lines modified in the brassinosteroid receptor BRI1



Brassinosteroid hormones regulate many aspects of plant growth and development. The membrane receptor BRI1 is a central player in the brassinosteroid signaling cascade. Semi-dwarf ‘uzu’ barley carries a mutation in a conserved domain of the kinase tail of BRI1 and this mutant allele is recognised for its positive contribution to both yield and lodging resistance.


Here we show that uzu barley exhibits enhanced resistance to a range of pathogens. It was due to a combination of preformed, inducible and constitutive defence responses, as determined by a combination of transcriptomic and biochemical studies. Gene expression studies were used to determine that the uzu derivatives are attenuated in downstream brassinosteroid signaling. The reduction of BRI1 RNA levels via virus-induced gene silencing compromised uzu disease resistance.


The pathogen resistance of uzu derivatives may be due to pleiotropic effects of BRI1 or the cascade effects of their repressed BR signaling.


Brassinosteroids (BRs) are a family of hormones, involved in many cellular processes, including cell expansion and division, tissue differentiation, flowering, senescence and responses to abiotic stress [1],[2]. BR hormones sequentially bind to the extracellular domains of the leucine rich repeat receptor BR Insensitive 1 (BRI1) and the co-receptor BRI1-associated Kinase 1 (BAK1) [3]. Transphosphorylation between BRI1 and BAK1 activates the former, which in turn leads to a downstream BR signaling cascade [4]. Nakashita et al. [5] were the first to demonstrate that BR hormones function in disease resistance in both tobacco and rice. Brassinolide (BL) is the end product of the BR biosynthetic pathway and in rice its application enhanced resistance to blast and bacterial blight diseases caused by Magnaporthe grisea and Xanthomonas oryzae, respectively. In tobacco, BL induced resistance to Tobacco Mosaic Virus, the bacteria Pseudomonas syringae pv. tabaci and the fungus Oidium sp. Resistance was not associated with accumulation of salicylic acid (SA) and systemic-acquired resistance (SAR) was not involved. Wang [6] reviewed BR-modulated plant responses to pathogens. In tobacco, virus-induced gene silencing of two homologs of BAK1 (NbSERK3A/B) enhanced susceptibility to the potato blight pathogen Phytophthora infestans, but not to its sister species Phytophthora mirabilis[7]. But BAK1/SERK3 is a multifunctional protein and at least some of its immune functions are independent of BR signaling [8]. It binds to the receptor for bacterial flagellin peptide, FLS2, eliciting PTI. As summarised by Wang [6], BR activation of BRI1 seems to have two opposite effects on BAK1-mediated FLS2 signaling, and the outcome seems to depend on the relative levels of BR, BRI1, and BAK1. BR signaling inhibits BIN2-mediated degradation of BRI1-EMS-suppressor 1 (BES1); BES1 is then produced and binds to a key defence regulator, AtMYB30, and together they function cooperatively to promote BR target gene expression [9]. BRs may also repress defence gene expression. The BR-activated transcription factor brassinazole-resistant 1 (BZR1) is able to repress the expression of genes such as FLS2 and SNC1 that are directly involved in defence against pathogens [8],[10]. But, much remains to be determined regarding how the BR signaling cascade feeds into in plant disease resistance responses.

Uzu barley lines carry a mutation in a highly conserved residue (His-857 to Arg-857) in the kinase domain of the BR receptor protein BRI1 [11]. Recently Goddard et al. [12] and Chen et al. [13] showed that introgression of the uzu mutation into barley enhanced resistance to leaf blast disease caused by Magnaporthe grisea, take-all of roots caused by Gaeumannomyces graminis var. tritici, eyespot disease of stems caused by Oculimacula spp. and crown rot disease of the stem caused by Fusarium fungi. Here we investigate the resistance of uzu barley derivatives to more diseases and use a combination of transcriptomic and biochemical studies to determine how these uzu derivatives differ in defences and BR signaling as compared to their parental barley genotypes.

Results and discussion

Uzu enhances resistance to fungal and viral pathogens

The semi-dwarf uzu derivatives of barley cvs. Akashinriki and Bowman were semi-dwarf derived via the introgression of a mutated BRI1 gene from the old Japanese genotype Baitori 11 and subsequent backcrossing against the parent genotype [11]. Pathogenicity tests were used to compare the response of these two semi-dwarf uzu derivatives and their parental barley lines to the obligate pathogen Barley Stripe Mosaic Virus (BSMV), the necrotrophic net blotch pathogen Pyrenophora teres and the toxigenic hemibiotrophic fungus Fusarium culmorum that causes Fusarium head blight (FHB, also known as scab disease of cereals). Uzu derivatives were more resistant to all three pathogens as compared to the parental lines. When compared with their parents, uzu derivatives displayed significantly less symptoms of BSMV, net blotch and FHB disease (P ≤ 0.01; Figures 1, 2 and 3). The % of leaf area turned chlorotic due to BSMV was 80 and 52% less for the uzu derivatives of Akashinriki and Bowman, as compared to their respective parent lines (Figure 1). The severity of net blotch symptoms was 37% less in the Akashinriki-uzu derivative and 54% less in Bowman-uzu derivative, as compared to the respective parent lines (Figure 2). The FHB disease development (percentage of spikelets prematurely bleached) in the Akashinriki-uzu derivative was 65% less than that of the parent line. In the case of Bowman-uzu derivative, infected spikelets were 49% less as compared to the parent line (Figure 3B). FHB disease caused lower reductions in both grain number and weight in the uzu derivatives as compared to parent lines (Figure 3C and D). Fusarium fungi can also attack seedlings and leaves. Seedling blight studies revealed that, in response to F. culmorum, uzu derivative lines of both genotypes developed at least 41% less stem browning and 61% less leaf necrosis than parental lines (Additional file 1: Figures S1 and Figure S2) (P ≤ 0.01). Thus the uzu derivatives carry broad-spectrum disease resistance under controlled conditions, reaffirming and expanding the findings of Goddard et al. [12]. This study shows that the disease resistance of uzu derivatives is environment dependent, as the same uzu lines did not show resistance to initial FHB infection in recent UK field trials, albeit the disease pressure was relatively low [12]. Goddard et al. [12] recently presented evidence that the uzu derivatives of cvs. Akashinriki and Bowman had enhanced resistance to pathogens with a short biotrophic phase or a necrotrophic lifestyle, but not to the biotroph Blumeria graminis or to the leaf pathogen Ramularia collo-cygni, which has a long asymptomatic phase.

Figure 1

Analysis of the phenotypic effect of Barley Stripe Mosaic Virus (BSMV) on seedling leaves of barley cultivars Akashinriki and Bowman and their uzu derivatives (Aka-uzu and Bow-uzu). (A) Visualisation of the chlorotic stripes on the third leaves at 10 days post-infection. (B) Quantification of the percentage of leaf area showing chlorosis. Bars indicate standard error of mean (SEM) (LSD 0.05 = 8.26).

Figure 2

Response of uzu derivatives of barley cultivars Akashinriki and Bowman (Aka-uzu and Bow-uzu) to net blotch disease caused by Pyrenophora teres f. sp. teres . (A) Visualisation of the disease symptoms on seedling leaves at 10 days post-pathogen inoculation. (B) Disease scores based on lesion size [39] on both the second and third leaves at 10 days post-pathogen inoculation. Bars indicate standard error of mean (SEM) (LSD 0.05 B = 2.54).

Figure 3

Response of uzu derivatives of barley cultivars Akashinriki and Bowman (Aka-uzu and Bow-uzu) to Fusarium head blight (FHB) disease caused by Fusarium culmorum . (A) Visualisation of the FHB disease symptoms at growth stage 80. (B) Disease symptoms at growth stage 80 were quantified as the percentage of infected spikelets per head. At harvest, the (C) number of grain per head and the (D) weight of the grain in each head were determined. Bars indicate standard error of mean (SEM) (LSD 0.05 B = 1.3, C = 5, D = 0.11).

Resistance components are constitutive, induced and derepressed

Microarray analysis of the early Fusarium-barley seedling interaction (24 h post-pathogen treatment of stems) indicated differential expression of putative defence genes in the Akashinriki-uzu derivative compared to the parental line. Comparison 1 showed that 155 transcripts were ≥ 1.5-fold differentially expressed in F. culmorum-treated Akashinriki-uzu derivative as compared to the F. culmorum-treated parent line (Additional file 2: Table S1 – excel file). A second microarray comparison delineated 126 transcripts as being pathogen-responsive in the uzu derivative (comparison of Akashinriki-uzu derivative +/- F. culmorum) (Additional file 3: Table S2 – excel file). Looking across both micorarray comparisons, a total of 44 transcripts were both more highly expressed in fungus-treated uzu as compared to fungus-treated parent and were also pathogen-responsive in the uzu derivative (Table 1). Many of these encode putative classical microbe-induced defence and PR proteins (Table 1). This includes putative chitinases, endo-1,3-beta-D-glucosidase and a β-1,3-glucanase, all of which act synergistically to degrade fungal cell walls [14]. Three putative thaumatin-like proteins were both fungal-induced and up-regulated in fungal treated uzu as compared to parent line (Table 1). Expression of a rice thaumatin-like protein was shown to enhance wheat resistance to FHB [15]. The transcription of indole glycerol phosphate and tryptophan synthase A is indicative of higher auxin production in uzu than the parent and in response to the pathogen. Tryptophan synthase B converts higher indole to tryptophan and this gene, although not pathogen-responsive, was up-regulated in uzu compared to the parent. Multilevel interactions between auxins and brassinosteroids have been reported; based on their study, Sakamoto et al. [16] suggested that auxins might control the degree of brassinosteroid perception by regulating the expression of the gene for brassinosteroid receptor. Auxin has been shown to enhance barley resistance to FHB disease [17], although the underpinning mechanisms were not elucidated. Quantitative RT-PCR validated that both a putative WIR1A and the classic PR gene PR-1 are pathogen –responsive and more highly expressed in uzu derivatives than the parental lines Akashinriki and Bowman (Figure 4A & B). WIR1A has not been functionally characterised but it is thought to play a role in basal and non-host resistance [18]. WIR1A conferred wheat plants with resistance to the powdery mildew fungus Blumeria graminis[19] and two variants were mapped with the interval of a wheat genomic locus that confers FHB resistance [18].

Table 1 Transcripts that were both pathogen-responsive and differentially regulated (≥1.5 fold) in the uzu derivative of barley cultivar Akashinriki-uzu, as compared to parent type barley line
Figure 4

Analysis of defence and cell wall biosynthesis gene transcript levels in the stem base of Fusarium -infected seedlings of barley cultivars Akashinriki, Bowman and their uzu derivatives (Aka-uzu and Bow-uzu), as determined by quantitative RT-PCR analysis. Gene represented are (A) Pathogen-induced protein WIR1A (Contig2170), (B) Pathogenesis-related protein 1 (PR1) (Contig2210), (C) CER1 protein (Contig14570), (D) Cellulose synthase-like protein (CS-like) (Contig8067) and (E) Glycine-rich cell wall structural protein (GRP) (Contig3198). Bars indicate SEM (LSD0.05 A = 0.015 and B = 0.003, C = 0.015, D = 0.003, E = 0.001).

Looking across both micorarray comparisons, a total of six trancripts were repressed in fungus-treated uzu as compared to the fungus-treated parent and were also pathogen-downregulated (Table 1). One of these encoded a putative xyloglucan endotransglycosylase (XET; Contig21684), which catalyses the remodeling of cell walls [20]. The plant cell wall presents a physical barrier to attack by pathogens and cellulose and lignin are amongst the wall constituents that contribute to defence [21],[22]. A preliminary non-replicated microarray analysis at 48 h post-pathogen suggested that various genes involved in the production of wax (CRE1) and cell wall components (cellulose synthase and a glycine-rich cell wall structural protein) were pathogen-induced in the uzu derivative of cv. Akashinriki (data not shown). Transcriptomic, biochemical and microscopic analysis were used to investigate the cell size and wall composition in uzu derivatives and the parental lines. Quantitative RT-PCR analyses of uzu derivatives and parents showed that CRE1, cellulose synthase and a glycine-rich cell wall structural protein were highly expressed and more pathogen-responsive in uzu derivatives as compared to the parent lines Bowman and Akashinriki (Figure 4C-E). Biochemical analyses of non-infected uzu did not reveal pathogen-induced increases in the absolute amount of cellulose and lignin (P ≥ 0.05; Figure 5), but did confirm that the uzu derivatives have significantly higher cellulose and lignin contents and thicker cell walls than the parental lines (P ≤ 0.05).

Figure 5

The cell wall composition and epidermal cell morphology of leaves of barley cultivars Akashinriki and Bowman and their uzu derivatives (Aka-uzu and Bow-uzu). (A) Twenty days post-stem base treatment the third leaves were removed and cleared for microscopic analysis (bar indicates 50 μm, arrows indicate epidermal cell layer) (a: Akashinriki, b: Akashinriki-uzu, c: Bowman and d: Bowman-uzu and (B) the remaining of the green plant tissue was pooled together and analysed for lignin and cellulose content. Bars indicate SEM (LSD 0.05 cellulose = 1.12, lignin = 0.91).

Further evidence for enhanced cell wall deposition in uzu derivatives was obtained via analysis of BES1 transcription. BES1 can associate with upstream elements of most cellulose synthase genes and positively regulates cell wall synthesis [23]. Gene expression studies confirmed that seedling leaves from the Akashinriki-uzu derivative contained significantly more BES1 transcript than those from the parent line Akashinriki (Figure 6A). The up-regulation of BES1 transcription (Figure 6A), up-regulation of four chitinases of which two were pathogen-responsive (Table 1) and the enhanced ROS production during F. culmorum infection of Akashinriki-uzu derivative versus the parent line (Additional file 1: Figure S2B) are all indicative of the enhancement of SA-mediated defence responses [24],[25]. F. culmorum is a hemibiotrophic pathogen, with a short biotrophic phase preceding necrotrophism [17]. Concordant with this it has been shown that the host SA dependent defence pathway is activated prior to jasmonic acid (JA) – dependent defence pathways during Fusarium infection [26].

Figure 6

Analysis of BES1 and BRI1 gene transcript levels in barley cultivar Akashinriki (Aka) and its uzu derivative (Aka-uzu), as determined by quantitative RT-PCR analysis. Germinating seedlings were transferred to Hoaglands solution and the leaf samples are harvested after 48 and 72 hours for RNA extraction. (A) Brassinazole-resistant-2 (BES1) (Contig7854_at). (B) Brassinosteroid insensitive-1 (BRI1) (Gene id: AB109215.1). Bars indicate SEM (LSD0.05 A = 0.0003, B = 0.0048).

Recent findings suggest that BR may antagonise plant defence signaling via activation of its transcriptional regulator BZR1. Upon activation by BR, BZR1 binds and represses the promoters of various defence-associated genes, including the flagellin receptor FLS2 and the major R gene SNC1[10]. Interestingly we found that BZR1 homolog of barley was slightly repressed in the Akashinriki-uzu-derivative at 48 h post Fusarium infection to levels similar to those found in healthy parental seedlings (Figure 7). This indicates that defences may be slightly derepressed in uzu derivatives.

Figure 7

Analysis of brassinazole-resistant 1 ( BZR1; contig7854) gene transcript levels in the stem base of Fusarium -infected seedlings of barley cultivars Akashinriki, Bowman and their uzu derivatives (Aka-uzu and Bow-uzu), as determined by quantitative RT-PCR analysis. RNA was extracted from stem bases tissue harvested at either 24 or 48 h post-fungal inoculation. Bars indicate SEM (LSD0.05 = 0.014).

BR signaling is repressed in uzu

The literature suggests that the uzu derivative of barley is less responsive to BR [11]. We studied the effect of epibrassinolide (epiBL) treatment on the transcription of genes involved in BR signaling. At the mRNA level, the BR degradation enzyme gene BAS1 and the downstream cell wall enzyme gene XET1 are both positively regulated by BR [27],[28], while the BR biosynthesis gene ROT3 is down-regulated by hormone application [27]. Such was the effect of epiBL treatment on the transcription of BAS1 and XET1 in the parental cv. Akashinriki, while ROT3 showed no effect of epiBL treatment (Figure 8). The epiBL application induced BAS1 expression by three-fold by 12 h post treatment in cv. Akashinrki (P ≤ 0.05). But in the uzu derivative, the epiBL treatment had no major effect (P ≥ 0.05), the trend being for down-regulation of expression of BAS1 in uzu in response to the hormone (Figure 8A). Similar results were obtained for XET1 (Figure 8B), gene expression being significantly up-regulated in wild type seedlings but significantly down-regulated in uzu by epiBL treatment (P ≤ 0.05). We verified that (epiBL)-induced BR signaling was repressed in the Akashinriki-uzu derivative and thus the enhanced BRI1 transcription in uzu does not lead to enhanced BR signaling. In both the wild type Akashinriki and the uzu derivative, there was no evidence of down- or up-regulation of BR biosynthesis, ROT3 transcription being unresponsive to epiBL application (Figure 8C). This suggests that the enhanced resistance of uzu derivatives is not due to BR antagonising defence responses or driving enhanced negative cross talk with SA pathways [29].

Figure 8

Transcript levels of BRI1 downstream and brassinosteroid metabolic genes in epibrassinolide (epiBL) treated seedlings of barley cultivars Akashinriki, Bowman and their uzu derivatives (Aka-uzu and Bow-uzu), as determined by quantitative RT-PCR analysis. Germinating seedlings were treated with Hoaglands solution containing 5 μm of the brassinazole for 4 days and then with Hoaglands solution plus or minus 0.2 μm epiBL. Gene expression was quantified in samples harvested either 12 or 24 h post-treatment. Gene represented are (A) PHYB activation tagged suppressor 1 protein, BAS1 (Contig3160), (B) XET (Contig5258) and (C) ROT3 (Contig12042). Bars indicate SEM (LSD0.05 A = 0.0021, B = 0.016, C = 0.0021).

Virus-induced gene silencing of BRIcomprises disease resistance in uzu

Pathogen-associated molecular pattern triggered immunity (PTI) is part of most broad-spectrum resistance/tolerance and BRs modulate PTI responses through both BAK1-dependent and -independent mechanisms [6],[8]. Plant disease resistance depends on the relative levels of BR, and the receptor proteins BRI1 and BAK1. When the BRI1 level is low and the BAK1 level is not rate-limiting, increased BR signaling would enhance PTI signaling by providing active BAK1 [6]. However, in uzu derivatives, gene expression studies verified that BRI1 transcript levels were high as compared to in the parental line Akashinriki (Figure 6B). Virus-induced gene silencing (VIGS) was performed in order to investigate the role of BRI1 in disease resistance. To help rule out off-target effects in VIGS, two independent silencing treatments were performed, each targeting independent fragments of the BRI1 gene (of 307 and 277 bp). Empty BSMV vector served as a negative control. VIGS of phytoene desaturase [30] served as a positive control in VIGS experiments, resulting in premature bleaching of both Akashinriki and uzu derivative plants (Additional file 1: Figure S3). The VIGS application buffer FES compromised leaf resistance to F. culmorum. The uzu/parental type differential observed without FES application (Additional file 1: Figure S2) was not observed in the leaf from plants treated with FES (Figure 9C). In both cases, the Fusarium disease was assessed on wounded detached sections of the third leaf, the only difference being that the FES applied to the first leaf in the VIGS experiments mostly likely induced a systemic wounding response in the VIGS experiments. It is possible, as suggested by Goddard et al. [12] that wounding, as occurs in VIGS treatment, may swamp the effect of the BRI1-related defence responses and may trigger JA signaling [31].

Figure 9

Effect of virus-induced gene silencing (VIGS) of BRI1 in the barley cultivar Akashinriki and its uzu derivatives on Fusarium infection of seedling leaves as assessed in a detached leaf experiment. Plants were treated with viral application FES buffer, FES plus empty virus (BSMV:00) or FES plus virus targeting BRI1 for silencing (BSMV:BRI1 & BSMV:BRI2 - two constructs containing independent fragments of the BRI1 gene). At 14 days post VIGS treatment, 3rd leaf was cleaved off for RNA extraction and used for gene expression studies and the detached leaf assay. (A) BRI1 expression was quantified. (B) By 3 days after F. culmorum inoculation, infected area was more evident on gene-silenced as compared to empty virus treated samples of uzu and (C) this was quantified based on the pixel count using Image J software [41] (2000 pixel = 0.1 cm2). Bars indicate SEM (LSD 0.05 A = 0.009, C = 0.254).

Quantitative RT-PCR gene expression studies validated that VIGS of BRI1 was successful in both Akashinriki-uzu derivative and its parent (Figure 9A). The effect of fungal inoculation after VIGS-mediated silencing was assessed on the 3rd leaf of VIGS-treated seedling. Reducing BRI1 via VIGS enhanced F. culmorum-induced necrosis in leaves of both uzu derivative and parental type plants (Figure 9B). In the absence of BRI1 gene silencing (BSMV:00 treatment), inoculated leaves showed a decrease in infected leaf area, relative to plants subjected to gene silencing (P < 0.01) (Figure 9C). These results suggest that a functional BRI1 is important for disease resistance. Goddard et al. [12] also reported that a T-DNA insertion in the 5′ untranslated region of BRI1 homolog in Brachypodium distachyon resulted in a similar disease resistance response as observed in the uzu derivatives of barley. More insight into the importance of BRI1 in the disease resistance of uzu requires more in-depth studies of the receptor protein activity in barley derivatives and T-DNA mutants of Brachypodium.


Uzu derivatives are mutated in the kinase domain of BRI1 (this being the only mutation in a conserved domain of the protein). Xu et al. [28] showed that weak BRI1 mutants of Arabidopsis impaired in kinase activity still retain partial function in plant growth and development, indicating that BRI1 kinase activity is not essential for all activities of this receptor. Uzu resistance may be due to pleiotropic effects of BRI1 on another as yet uncharacterised pathway, indirect effects of the down-regulation of BR signaling or to genetic linkage between BRI1 and a cosegregating resistance gene.

Though the majority of Japanese and Chinese semi-dwarf barley varieties carry the uzu mutation, the stress-intolerance of uzu barley [32] means that it may not be suited to all climatic conditions. A better understanding of the downstream defence mechanisms might highlight other targets that help control disease in a less environmentally dependent manner. To this end, we are investigating the disease resistance potential of a number of genes up-regulated in uzu in response to F. culmorum.


Plant and microbial material

The barley cultivars (cvs.) Akashinriki and Bowman and their uzu derivatives were kindly provided by Dr. K. Sato, Barley Germplasm Centre, Okayama University, Japan and the John Innes Centre. The uzu derivatives contain the uzu mutant version of the BRI1 gene (GSHO1963), which was derived from Baitori 11, an old Japanese uzu barley. The uzu gene was introduced into barley cv Bowman and cv Akashinriki by sixtime and ninetime backcrossing, respectively [11]. The F. culmorum isolate used in this study was strain FCF 200. The fungus was stored at -70°C and, prior to use, was subcultured onto potato dextrose agar (PDA) (Difco, UK) plates and incubated at 25°C for 5 days. Fungal conidial inoculum was produced in mung bean broth as described previously [33]. Pyrenophora teres f. sp. teres strain N45 was stored at -70°C and, prior to use, were subcultured onto potato dextrose agar (PDA) (Difco, UK) plates and incubated at 25°C for 15 days. The plates containing fungal cultures were scraped and flooded with 0.2% Tween20 solution and the resulting conidial suspension was passed through a double-layer of cheesecloth to obtain the conidial inoculum. The tripartite genome of Barley stripe mosaic virus (BSMV) was maintained within plasmids and RNA generated by in vitro translation was used as inoculum, as previously described by Holzberg et al. [34].

Fusarium head blight (FHB) experiments

All head blight experiments were conducted in glasshouse chambers at a temperature of 16 - 28°C. Barley cvs. Bowman and Akashinriki and their uzu derivatives were grown and, at mid anthesis, heads were treated with Tween20 (mock treatment) or F. culmorum conidia (1 × 106 spores ml−1 0.2% Tween20), as previously described [35]. Visual disease symptoms were recorded at GS 80 (start of dough development) [36] based on the percentage of bleached spikelets per head. Treated heads were harvested at growth stage 99. The number of seeds per head and seed weight (g) per head were recorded. Each treatment combination was applied to sixteen plants (2 heads per plant) and the experiment was conducted thrice (February to April 2010, Feb to April 2012 and March to May 2012) in different glass house chambers in a randomized layout.

Fusarium seedling blight (FSB) experiments

Seeds of barley cvs. Bowman and Akashinriki and their uzu derivatives were germinated, grown in a 6 cm diameter pot containing John Innes compost No. 2 (Westland Horticulture, Dun- gannon, UK). The plants were grown in a climate-controlled growth a 12 h light period (700 μmol m−2 s−1) and constant humidity of 85%. Stem bases of 10-day-old seedlings were treated as previously described [37] with 400 μl of either a F. culmorum conidial suspension (1 × 106 spores ml−1 0.2% Tween20) in 1% agar (Difco Laboratories, Detroit, MI) or 0.2% Tween20 in 1% agar (mock treatment). The stem base samples (4 cm) were harvested at 15 days post-fungal treatment. Seedling blight stem base disease symptoms were scored as the product of lesion length (cm) and lesion colour (lesion colour scale: 0, no disease; 1, very slight brown necrosis; 2, slight/moderate brown necrosis; 3, extensive brown necrosis; 4, extensive black necrosis) [38]. This experiment was conducted thrice, and each time it included three replicate pots (each containing two plants) per treatment combination, arranged in a randomised layout. To analyze gene expression in response to F. culmorum seedling inoculations, similar experiments were conducted on cv. Akashinriki and its uzu derivative, except that samples were flash-frozen in liquid nitrogen and stored at -70°C prior to RNA extraction. Three independent experiments with six replicate pots (each containing two plants) per treatment combination were conducted for microarray analysis (24 h harvest time point) and two independent experiments with three replicate pots (each containing two plants) per treatment combination were conducted for quantitative RT-PCR analysis (24 and 48 h harvest time points).

Net blotch experiments

Seeds of barley cvs. Bowman and Akashinriki and their uzu derivatives were germinated and grown as described above for FSB studies. Foliage of 15 day old barley seedlings were sprayed to runoff with a conidial suspension (4 × 104 spores ml−1 0.2% Tween20 of P. teres f. sp. teres strain N45 or 0.2% Tween20 (mock treatment). The disease score was calculated based on the average infection phenotype of the second and third leaves scored using a 1-10 scale [39]. Results were based on three experiments, all of which included 10 replicate pots (each containing 2 plants) per treatment combination.

Barley stripe mosaic virus experiment

Seeds of barley cvs. Bowman and Akashinriki and their uzu derivatives were germinated and grown as described above for FSB studies, except that experiments were conducted in a contained glasshouse where the temperature was a constant 24°C, and supplemental lighting of 700 μmol m−2 s−1 for 16 h per day was provided. The first leaf of 10 day old seedlings was rub-inoculated with BSMV RNA or with FES buffer (mock treatment) following the protocol described by Scofield et al. [30]. Disease on the third leaf was assessed at 14 days post inoculation, based on the percentage leaf area showing chlorosis. Results were based on two experiments, all of which included 10 replicate pots (each containing 2 plants) per treatment combination.

Detached leaf assay

Seedlings of barley cvs. Bowman and Akashinriki and their uzu derivatives were germinated and grown as described above for FSB studies. The third leaves were harvested from 20 day-old seedlings. Leaf sections (5 cm) were placed on filter paper soaked in 0.08% benzimidazole solution and the upper epidermal layer in the centre of the leaf was surface-wounded by making 4-5 holes using a sterile needle. The damaged leaf area was treated with 5 μl of either 0.2% Tween20 (mock treatment) or F. culmorum conidia (1 × 106 spores ml−1 0.2% Tween20). Leaf samples were photographed 72 h post-inoculation and subjected to 3,3′-diaminobenzidine (DAB) staining to detect ROS formation [40]. Leaf samples were placed in a solution of 1 mg ml−1DAB, and collected for photography after 8 h. Infected leaf area was measured based on the pixel count using Image J software [41] and the ROS formation was measured based on the total pixel count from 0-100 at a scale of 0-250 and converted to leaf area (2000 pixel = 0.1 cm2).

Seedling composition and epidermal cell morphology

Seedlings of barley cvs. Bowman and Akashinriki and their uzu derivatives were germinated and grown as described above for FSB studies. Stem bases of 10 day old seedlings were treated with either Tween20 in 1% agar or F. culmorum conidia (1 × 106 spores ml−1 0.2% Tween20) and 1% agar. After twenty days, seedlings were cut above the stem base. Leaf sections were treated with absolute alcohol over night at 60°C to remove the chlorophyll and transvers sections were prepared for microscopic study. The remaining green plant material was oven dried for 7-10 days at 55°C and subjected to cellulose and lignin estimation using the methods of Ali et al. [42]. Cellulose and lignin content were determined for three sub-samples per cultivar and were expressed as a percentage of dry weight. Results were based on three experiments, all of which included 10 replicate pots (each containing 2 plants) per treatment combination.

Epibrassinolide (epiBL) treatment experiment

Barley seeds were surface-sterilized with 2% bleach, and kept on Whatman paper in dark at 4°C for 2 days for synchronisation of seed growth. After two days the petri plates were transferred to 25°C degrees in darkness. Three-day-old germinating seedlings were transferred to hydroponic system containing Hoagland’s solution supplemented with 5 μm of Brassinazole (BRZ) in order to inhibit endogenous BR production. The plants were placed in an incubator with continuous light of 700 μmol m−2 s−1 at 25°C. After four days the BRZ solution was replaced by Hoagland’s medium containing 0.2 μm epiBL (in 70% ethanol) and 70% ethanol (mock treatment). Samples were collected from the mock and epiBL treated plants at 12 and 24 h post-treatment and flash frozen in liquid nitrogen prior to RNA extraction.

RNA extraction

Total RNA was extracted from the stem base samples using the protocol described by Chang et al. [43]. RNA extracts were DNase1-treated according to manufacturer’s instructions (Invitrogen corp., Carlsbad, CA) and resuspended in diethyl pyrocarbonate (DEPC)-treated water. The quantity of RNA in samples was assessed using an Eppendorf Biophotometer (Eppendorf AG, Hamburg, Germany), according to manufacturer instructions. RNA quality of samples was assessed by estimating the RNA integrity number (RIN) [44],[45] which averaged > 8, indicating high quality RNA.

Microarray analysis

Microarray analysis was used to analyse the early effects of F. culmorum on the transcriptome of seedlings of Akashinriki and its uzu derivative (24 h post-fungal inoculation). Microarray production, hybridization, and data analysis were performed following the minimum information about a microarray experiment (MIAME) guidelines for international standardization and quality control of microarray experiments [46]. Microarray analysis was conducted using three composite samples per treatment; composite samples were produced by pooling equal amounts of the total RNA (1 μg) from the five replicate samples per treatment per experiment per time point. Total RNA (1 μg) from each sample was converted to double-stranded cDNA with the Bioarray™ single-round RNA amplification and labeling kit (Enzo life sciences, PA, USA). After second-strand synthesis, the cDNA was purified with the cDNA purification kit (Enzo life sciences). The resulting double-stranded DNA was then used to generate multiple copies of biotinylated cRNA by in vitro transcription with the Bioarray™ highyield™ RNA transcript labeling kit (Enzo life sciences). The A260/280 ratio and yield of each of the cRNAs were determined and the quality of these samples was assessed using an Agilent bioanalyzer (Agilent Technologies, Palo Alto, CA, USA) and all exceeded the RNA integrity number threshold of 8. Biotinylated cRNA (10 μg) spiked with biob, bioc, biod and cre (hybridization controls) was hybridized to the Affymetrix barley GeneChip array (Affymetrix, Inc. CA, USA) for 16 hours at 45°C. Following hybridization, all arrays were washed and stained in an Affymetrix GeneChip fluidics station. Stained arrays were scanned with an Affymetrix GeneChip® scanner 3000 (Affymetrix, Inc. CA, USA). Quality checks and data analyses were carried out using affymetrix GeneChip operating software (gcos) and quality reporter. The array data was normalised per chip and per gene. Per chip normalisation is carried out to the median. For per gene normalisation, comparisons were conducted for the three expression values obtained across three biological replicates. Two comparisons were conducted; firstly we compared gene expression in the uzu derivative + fungus, versus Akashinriki + fungus; secondly we compared expression in uzu – fungus versus uzu + fungus. A list of significant probes were generated using a student t-test with a fold-change threshold of ≥ 1.5 and ≤ -1.5 higher transcript with a P-value < 0.0001.

Sequence analysis

For each probe set, annotations of associated genes/gene homologs were obtained directly from the Affymetrix website ( or by BLASTx analysis against the non-redundant protein database [47] using the National Center for Biotechnology Information (NCBI) blast resource ( The cut-off value of 10−15 was used as a threshold for the expectation scores (e values), and only homologies with an e-value of less than the threshold were regarded as significant. Whenever, the two descriptions disagreed, the BLASTx description was selected.

Quantitative RT-PCR analysis

Quantitative RT-PCR was used to analyse the expression of transcripts of interest. Reverse transcription (RT) of 1 μg total RNA was conducted as described by Ansari et al. [48], except that the primer used was oligo dT12-18 (Invitrogen). RT products (25 μl) were diluted to 200 μl and 2.5 μl was PCR-amplified in a 25 μl volume reaction containing 12.5 μl Premix Ex Taq™ (Perfect Real Time) (Takara, Japan) and 100 nM each of forward and reverse transcript-specific primers (Additional file 4: Table S3). PCR reactions were conducted in a Stratagene Mx3000™ quantitative RT-PCR machine (Stratagene, USA) and the programme consisted of 1 cycle of 95°C for 10s, 40 cycles of 95°C for 5 s, 60°C for 30s and 1 cycle of 95°C for 60s. Data were analysed using Stratagene Mx3000™ software (Stratagene, USA). The housekeeping gene used for normalisation of quantitative RT-PCR data was α-tubulin (Affymetrix Contig127_s_at); real-time quantification of target gene and of the housekeeping gene was performed in separate reactions. The threshold cycle (CT) values obtained by quantitative RT-PCR were used to calculate the accumulation of target gene (relative mRNA accumulation), relative to α-tubulin transcript, by 2^-ΔΔCt method, where ΔΔCt = (Ct target gene - Ct α-tubulin) [49]. Results were based on the average obtained for at least two replicate quantitative RT-PCR reactions per sample.

Virus-induced gene silencing (VIGS)

The barley stripe mosaic virus (BSMV)-derived VIGS vectors used in this study consisted of the wild type BSMV ND18 α, β and γ tripartite genome [30],[34]. The VIGS fragments and the quantitative RT-PCR assay used to validate VIGS targeted HvBri1 (AB109215.1) on the 3HL chromosome of barley genome, as determined by BLAST analysis against the IPK barley genome database (results not shown). Two independent gene fragments were used for VIGS of HvBri1 and these were amplified from genomic DNA of barley cv. Akashinriki using the primers HvBri1A-F/R or HvBri1B-F/R (Additional file 4: Table S4). PCR reactions were performed with 30 ng of barley genomic DNA, 1 mM each of forward and reverse fragment-specific primers (Additional file 4: Table S4) in a 10 μl reaction containing 0.5U Taq DNA polymerase and 1× PCR buffer (Invitrogen, UK), 1.5 mM MgCl2, and 125 mM of each dNTP. PCR reactions were conducted in a Peltier thermal cycler DNA engine (MJ Research, USA) and the PCR program consisted of an initial denaturation step at 94°C for 2 min, 30 cycles of denaturation 94°C for 30 s, annealing at 60°C for 30 s, extension at 72°C for 45 s and a final extension step at 72°C for 5 min. The amplified silencing fragments were cloned into the pGEM-T vector (pGEM-T Easy cloning kit; Promega, UK). The pGEM-T vectors carrying the silencing fragments were then digested with Pac1 and Sma1. The inserts were purified by gel extraction and then cloned into Pac1 and Sma1 digested γ RNA vector, pSL038-1 [30]. The pSL038-1 plasmids harbouring the silencing fragments were sequenced by Macrogen Inc. (Korea) using the vector-specific primers pGamma-F/R (Additional file 4: Table S4). A BSMV γ RNA construct containing 185 bp-fragment of the barley phytoene desaturase (PDS) gene was used as a positive control for VIGS and has been previously described [30]. The plasmids that contain the BSMV genome α and γ constructs with silencing fragments for PDS and HvBri1A or HvBri1B were linearised with MluI. The plasmid with BSMV β genome was linearised with SpeI. Capped in vitro transcripts were prepared from the linearised plasmids using the mMessage mMachine T7 in vitro transcription kit (Ambion, Austin, TX) following the manufacturer’s protocol. The first leaves of 10-day-old seedlings were rub-inoculated with BSMV constructs following the protocol described by Scofield et al. [30]. Rub inoculations were done with 1:1:1 mixtures of the in vitro transcripts of BSMV α, β and γ RNA (BSMV:00) or derivatives of the γ RNA that contained barley PDS (BSMV:PDS), HvBri1A or HvBri1B fragments. After 14 days the 3rd leaf is taken and made into three segments, one segment flash frozen in liquid N2 and stored at -70°C prior to RNA extraction. Gene silencing was quantified using primers specific to BRI1 and relative to that of the RNA helicase housekeeping gene [50]. The remaining 2 sections were used for the detached leaf Fusarium assay as described above (using a total of 8 leaf sections per Fusarium and 8 per mock Tween20 treatment for each silencing construct). After 3 days symptoms were observed and recorded. The VIGS experiment was conducted three times.

Statistical analysis

Normal distribution of data sets was determined using the Ryan Joiner test [51] within Minitab (Minitab release 13.32©, 2000 Minitab Inc.). Non-normally distributed data sets were transformed to fit a normal distribution using the Johnson transformation [51] within Minitab (Minitab release 13.32©, 2000 Minitab Inc.). The homogeneity of data sets across replicate experiments was confirmed by two-tailed correlation analysis (non-normal data: Spearman Rank; normal data: Pearson product moment) conducted within the Statistical Package for the Social Sciences (SPSS 11.0, SPSS Inc.) (r ≥ 0.798; P = 0.01) [52]. Therefore, data sets from the replicate experiments were pooled for the purposes of further statistical analysis. The significance of treatment effects was analysed within Statistical Package for the Social Sciences (SPSS 11.0, SPSS Inc.) by either (i) normally distributed data - one-way ANOVA with Post Hoc pair wise Least Significance Difference (LSD) comparisons (P = 0.05), or (ii) non-normally-distributed data - the Kruskal-Wallis H test [52].

Availability of supporting data

The data sets supporting the results of this article are included within the article and its supplementary files.

Authors’ contributions

Provided intellectual and editorial comments: FMD, SSA, PN and SS. Conceived and designed the experiments: SSA and FMD. Performed the experiments: SSA, LRG, GBSK and MK. Analyzed the data: SSA and LRG. Contributed reagents/materials/analysis tools: FMD. Wrote the manuscript: SSA and FMD. All authors read and approved the final manuscript.

Additional files


  1. 1.

    Bajguz A, Hayat S: Effects of brassinosteroids on the plant responses to environmental stresses. Plant Physiol Biochem. 2009, 47: 1-8. 10.1016/j.plaphy.2008.10.002.

    Article  CAS  PubMed  Google Scholar 

  2. 2.

    Yang C-J, Zhang C, Lu Y-N, Jin J-Q, Wang X-L: The mechanisms of brassinosteroids’ action: from signal transduction to plant development. Mol Plant. 2011, 4: 588-600. 10.1093/mp/ssr020.

    Article  CAS  PubMed  Google Scholar 

  3. 3.

    Santiago J, Henzler C, Hothorn M: Molecular mechanism for plant steroid receptor activation by somatic embryogenesis co-receptor kinases. Science. 2013, 341: 889-892. 10.1126/science.1242468.

    Article  CAS  PubMed  Google Scholar 

  4. 4.

    Yan L, Ma Y, Liu D, Wei X, Sun Y, Chen X, Zhao H, Zhou J, Wang Z, Shui W, Lou Z: Structural basis for the impact of phosphorylation on the activation of plant receptor-like kinase BAK1. Cell Res. 2012, 22: 1304-1308. 10.1038/cr.2012.74.

    PubMed Central  Article  CAS  PubMed  Google Scholar 

  5. 5.

    Nakashita H, Yasuda M, Nitta T, Asami T, Fujioka S, Arai Y, Sekimata K, Takatsuto S, Yamaguchi I, Yoshida S: Brassinosteroid functions in a broad range of disease resistance in tobacco and rice. Plant J. 2003, 33: 887-898. 10.1046/j.1365-313X.2003.01675.x.

    Article  CAS  PubMed  Google Scholar 

  6. 6.

    Wang Z-Y: Brassinosteroids modulate plant immunity at multiple levels. Proc Natl Acad Sci U S A. 2012, 109: 7-8. 10.1073/pnas.1118600109.

    PubMed Central  Article  PubMed  Google Scholar 

  7. 7.

    Chaparro-Garcia A, Wilkinson RC, Gimenez-Ibanez S, Findlay K, Coffey MD, Zipfel C, Rathjen JP, Kamoun S, Schornack S: The receptor-like kinase SERK3/BAK1 is required for basal resistance against the late blight pathogen phytophthora infestans in Nicotiana benthamiana. PLoS ONE. 2011, 6: e16608-10.1371/journal.pone.0016608.

    PubMed Central  Article  CAS  PubMed  Google Scholar 

  8. 8.

    Albrecht C, Boutrot F, Segonzac C, Schwessinger B, Gimenez-Ibanez S, Chinchilla D, Rathjen JP, De Vries SC, Zipfel C: Brassinosteroids inhibit pathogen-associated molecular pattern–triggered immune signaling independent of the receptor kinase BAK1. Proc Natl Acad Sci U S A. 2012, 109: 303-308. 10.1073/pnas.1109921108.

    PubMed Central  Article  CAS  PubMed  Google Scholar 

  9. 9.

    Li L, Yu X, Thompson A, Guo M, Yoshida S, Asami T, Chory J, Yin Y: Arabidopsis MYB30 is a direct target of BES1 and cooperates with BES1 to regulate brassinosteroid-induced gene expression. Plant J. 2009, 58: 275-286. 10.1111/j.1365-313X.2008.03778.x.

    PubMed Central  Article  CAS  PubMed  Google Scholar 

  10. 10.

    Sun Y, Fan X-Y, Cao D-M, Tang W, He K, Zhu J-Y, He J-X, Bai M-Y, Zhu S, Oh E: Integration of Brassinosteroid Signal Transduction with the Transcription Network for Plant Growth Regulation in Arabidopsis. Dev Cell. 2010, 19: 765-777. 10.1016/j.devcel.2010.10.010.

    PubMed Central  Article  CAS  PubMed  Google Scholar 

  11. 11.

    Chono M, Honda I, Zeniya H, Yoneyama K, Saisho D, Takeda K, Takatsuto S, Hoshino T, Watanabe Y: A semidwarf phenotype of barley uzu results from a nucleotide substitution in the gene encoding a putative brassinosteroid receptor. Plant Physiol. 2003, 133: 1209-1219. 10.1104/pp.103.026195.

    PubMed Central  Article  CAS  PubMed  Google Scholar 

  12. 12.

    Goddard R, Peraldi A, Ridout C, Nicholson P: Enhanced disease resistance caused by BRI1 mutation is 1 conserved between Brachypodium distachyon and barley (Hordeum vulgare). Mol Plant Microbe Interact 2014

  13. 13.

    Chen G, Yan W, Liu Y, Wei Y, Zhou M, Zheng Y-L, Manners JM, Liu C: The non-gibberellic acid-responsive semi-dwarfing gene uzu affects Fusarium crown rot resistance in barley. BMC Plant Biol. 2014, 14: 22-10.1186/1471-2229-14-22.

    PubMed Central  Article  CAS  PubMed  Google Scholar 

  14. 14.

    Mauch F, Mauch-Mani B, Boller T: Antifungal hydrolases in pea tissue II. Inhibition of fungal growth by combinations of chitinase and β-1, 3-glucanase. Plant Physiol. 1988, 88: 936-942. 10.1104/pp.88.3.936.

    PubMed Central  Article  CAS  PubMed  Google Scholar 

  15. 15.

    Chen W, Chen P, Liu D, Kynast R, Friebe B, Velazhahan R, Muthukrishnan S, Gill B: Development of wheat scab symptoms is delayed in transgenic wheat plants that constitutively express a rice thaumatin-like protein gene. Theor Appl Genet. 1999, 99: 755-760. 10.1007/s001220051294.

    Article  CAS  Google Scholar 

  16. 16.

    Sakamoto T, Morinaka Y, Inukai Y, Kitano H, Fujioka S: Auxin signal transcription factor regulates expression of the brassinosteroid receptor gene in rice. Plant J. 2013, 73: 676-688. 10.1111/tpj.12071.

    Article  CAS  PubMed  Google Scholar 

  17. 17.

    Petti C, Reiber K, Ali SS, Berney M, Doohan FM: Auxin as a player in the biocontrol of Fusarium head blight disease of barley and its potential as a disease control agent. BMC Plant Biol. 2012, 12: 224-10.1186/1471-2229-12-224.

    PubMed Central  Article  CAS  PubMed  Google Scholar 

  18. 18.

    Diethelm M, Rhiel M, Wagner C, Mikolajewski S, Groth J, Hartl L, Friedt W, Schweizer G: Gene expression analysis of four WIR1-like genes in floret tissues of European winter wheat after challenge with G. zeae. Euphytica. 2012, 186: 103-114. 10.1007/s10681-011-0498-7.

    Article  CAS  Google Scholar 

  19. 19.

    Altpeter F, Varshney A, Abderhalden O, Douchkov D, Sautter C, Kumlehn J, Dudler R, Schweizer P: Stable expression of a defense-related gene in wheat epidermis under transcriptional control of a novel promoter confers pathogen resistance. Plant Mol Biol. 2005, 57: 271-283. 10.1007/s11103-004-7564-7.

    Article  CAS  PubMed  Google Scholar 

  20. 20.

    Fincher GB: Revolutionary times in our understanding of cell wall biosynthesis and remodeling in the grasses. Plant Physiol. 2009, 149: 27-37. 10.1104/pp.108.130096.

    PubMed Central  Article  CAS  PubMed  Google Scholar 

  21. 21.

    Bhuiyan NH, Selvaraj G, Wei Y, King J: Role of lignification in plant defense. Plant Signal Behav. 2009, 4: 158-159. 10.4161/psb.4.2.7688.

    PubMed Central  Article  CAS  PubMed  Google Scholar 

  22. 22.

    Hernández-Blanco C, Feng DX, Hu J, Sánchez-Vallet A, Deslandes L, Llorente F, Berrocal-Lobo M, Keller H, Barlet X, Sánchez-Rodríguez C, Anderson LK, Somerville S, Marco Y, Molina A: Impairment of Cellulose Synthases Required for Arabidopsis Secondary Cell Wall Formation Enhances Disease Resistance. Plant Cell. 2007, 19: 890-903. 10.1105/tpc.106.048058.

    PubMed Central  Article  PubMed  Google Scholar 

  23. 23.

    Xie L, Yang C, Wang X: Brassinosteroids can regulate cellulose biosynthesis by controlling the expression of CESA genes in Arabidopsis. J Exp Bot. 2011, 62: 4495-4506. 10.1093/jxb/err164.

    PubMed Central  Article  CAS  PubMed  Google Scholar 

  24. 24.

    Harfouche AL, Rugini E, Mencarelli F, Botondi R, Muleo R: Salicylic acid induces H2O2 production and endochitinase gene expression but not ethylene biosynthesis in Castanea sativa in vitro model system. J Plant Physiol. 2008, 165: 734-744. 10.1016/j.jplph.2007.03.010.

    Article  CAS  PubMed  Google Scholar 

  25. 25.

    Kiddle GA, Doughty KJ, Wallsgrove RM: Salicylic acid-induced accumulation of glucosinolates in oilseed rape (Brassica napus L.) leaves. J Exp Bot. 1994, 45: 1343-1346. 10.1093/jxb/45.9.1343.

    Article  CAS  Google Scholar 

  26. 26.

    Ding L, Xu H, Yi H, Yang L, Kong Z, Zhang L, Xue S, Jia H, Ma Z: Resistance to hemi-biotrophic F. graminearum infection is associated with coordinated and ordered expression of diverse defense signaling pathways. PLoS ONE. 2011, 6: e19008-10.1371/journal.pone.0019008.

    PubMed Central  Article  CAS  PubMed  Google Scholar 

  27. 27.

    Tanaka K, Asami T, Yoshida S, Nakamura Y, Matsuo T, Okamoto S: Brassinosteroid homeostasis in Arabidopsis is ensured by feedback expressions of multiple genes involved in its metabolism. Plant Physiol. 2005, 138: 1117-1125. 10.1104/pp.104.058040.

    PubMed Central  Article  CAS  PubMed  Google Scholar 

  28. 28.

    Xu W, Huang J, Li B, Li J, Wang Y: Is kinase activity essential for biological functions of BRI1?. Cell Res. 2008, 18: 472-478. 10.1038/cr.2008.36.

    Article  CAS  PubMed  Google Scholar 

  29. 29.

    De Vleesschauwer D, Van Buyten E, Satoh K, Balidion J, Mauleon R, Choi I-R, Vera-Cruz C, Kikuchi S, Höfte M: Brassinosteroids antagonize gibberellin-and salicylate-mediated root immunity in rice. Plant Physiol. 2012, 158: 1833-1846. 10.1104/pp.112.193672.

    PubMed Central  Article  CAS  PubMed  Google Scholar 

  30. 30.

    Scofield SR, Huang L, Brandt AS, Gill BS: Development of a virus-induced gene-silencing system for hexaploid wheat and its use in functional analysis of the Lr21-mediated leaf rust resistance pathway. Plant Physiol. 2005, 138: 2165-2173. 10.1104/pp.105.061861.

    PubMed Central  Article  CAS  PubMed  Google Scholar 

  31. 31.

    León J, Rojo E, Sánchez‐Serrano JJ: Wound signalling in plants. J Exp Bot. 2001, 52: 1-9. 10.1093/jexbot/52.354.1.

    Article  PubMed  Google Scholar 

  32. 32.

    Divi UK, Krishna P: Brassinosteroid: a biotechnological target for enhancing crop yield and stress tolerance. New Biotechnol. 2009, 26: 131-136. 10.1016/j.nbt.2009.07.006.

    Article  CAS  Google Scholar 

  33. 33.

    Brennan J, Egan D, Cooke B, Doohan F: Effect of temperature on head blight of wheat caused by Fusarium culmorum and F. graminearum. Plant Pathol. 2005, 54: 156-160. 10.1111/j.1365-3059.2005.01157.x.

    Article  Google Scholar 

  34. 34.

    Holzberg S, Brosio P, Gross C, Pogue GP: Barley stripe mosaic virus-induced gene silencing in a monocot plant. Plant J. 2002, 30: 315-327. 10.1046/j.1365-313X.2002.01291.x.

    Article  CAS  PubMed  Google Scholar 

  35. 35.

    Khan MR, Doohan FM: Bacterium-mediated control of Fusarium head blight disease of wheat and barley and associated mycotoxin contamination of grain. Biol Control. 2009, 48: 42-47. 10.1016/j.biocontrol.2008.08.015.

    Article  Google Scholar 

  36. 36.

    Zadoks JC, Chang TT, Konzak CF: A decimal code for the growth stages of cereals. Weed Res. 1974, 14: 415-421. 10.1111/j.1365-3180.1974.tb01084.x.

    Article  Google Scholar 

  37. 37.

    Khan MR, Fischer S, Egan D, Doohan FM: Biological control of Fusarium seedling blight disease of wheat and barley. Phytopathol. 2006, 96: 386-394. 10.1094/PHYTO-96-0386.

    Article  CAS  Google Scholar 

  38. 38.

    Nicholson P, Simpson DR, Weston G, Rezanoor HN, Lees AK, Parry DW, Joyce D: Detection and quantification of Fusarium culmorum and Fusarium graminearum in cereals using PCR assays. Physiol Mol Plant Pathol. 1998, 53: 17-37. 10.1006/pmpp.1998.0170.

    Article  CAS  Google Scholar 

  39. 39.

    Tekauz A: A numerical scale to classify reactions of barley to Pyrenophora teres. Can J Plant Pathol. 1985, 7: 181-183. 10.1080/07060668509501499.

    Article  Google Scholar 

  40. 40.

    Thordal-Christensen H, Zhang Z, Wei Y, Collinge DB: Subcellular localization of H2O2 in plants. H2O2 accumulation in papillae and hypersensitive response during the barley—powdery mildew interaction. Plant J. 1997, 11: 1187-1194. 10.1046/j.1365-313X.1997.11061187.x.

    Article  CAS  Google Scholar 

  41. 41.

    Abr moff MD, Magalhães PJ, Ram SJ: Image processing with ImageJ. Biophoton Int. 2004, 11: 36-42.

    Google Scholar 

  42. 42.

    Ali SS, Khan M, Mullins E, Doohan F: The effect of wheat genotype on ethanol production from straw and the implications for multifunctional crop breeding. Biomass Bioenergy. 2012, 42: 1-9. 10.1016/j.biombioe.2012.03.020.

    Article  CAS  Google Scholar 

  43. 43.

    Chang S, Puryear J, Cairney J: A simple and efficient method for isolating RNA from pine trees. Plant Mol Biol Rep. 1993, 11: 113-116. 10.1007/BF02670468.

    Article  CAS  Google Scholar 

  44. 44.

    Imbeaud S, Graudens E, Boulanger V, Barlet X, Zaborski P, Eveno E, Mueller O, Schroeder A, Auffray C: Towards standardization of RNA quality assessment using user-independent classifiers of microcapillary electrophoresis traces. Nucleic Acids Res. 2005, 33: e56-e56. 10.1093/nar/gni054.

    PubMed Central  Article  PubMed  Google Scholar 

  45. 45.

    Schroeder A, Mueller O, Stocker S, Salowsky R, Leiber M, Gassmann M, Lightfoot S, Menzel W, Granzow M, Ragg T: The RIN: an RNA integrity number for assigning integrity values to RNA measurements. BMC Mol Biol. 2006, 7: 3-10.1186/1471-2199-7-3.

    PubMed Central  Article  PubMed  Google Scholar 

  46. 46.

    Brazma A, Hingamp P, Quackenbush J, Sherlock G, Spellman P, Stoeckert C, Aach J, Ansorge W, Ball CA, Causton HC: Minimum information about a microarray experiment (MIAME)—toward standards for microarray data. Nat Genet. 2001, 29: 365-371. 10.1038/ng1201-365.

    Article  CAS  PubMed  Google Scholar 

  47. 47.

    Altschul SF, Gish W, Miller W, Myers EW, Lipman DJ: Basic local alignment search tool. J Mol Biol. 1990, 215: 403-410. 10.1016/S0022-2836(05)80360-2.

    Article  CAS  PubMed  Google Scholar 

  48. 48.

    Ansari KI, Walter S, Brennan JM, Lemmens M, Kessans S, McGahern A, Egan D, Doohan FM: Retrotransposon and gene activation in wheat in response to mycotoxigenic and non-mycotoxigenic-associated Fusarium stress. Theor Appl Genet. 2007, 114: 927-937. 10.1007/s00122-006-0490-0.

    Article  CAS  PubMed  Google Scholar 

  49. 49.

    Livak KJ, Schmittgen TD: Analysis of relative gene expression data using real-time quantitative PCR and the 2-[Delta][Delta] CT method. Methods. 2001, 25: 402-408. 10.1006/meth.2001.1262.

    Article  CAS  PubMed  Google Scholar 

  50. 50.

    Walter S, Brennan JM, Arunachalam C, Ansari KI, Hu X, Khan MR, Trognitz F, Trognitz B, Leonard G, Egan D, Doohan FM: Components of the gene network associated with genotype-dependent response of wheat to the Fusarium mycotoxin deoxynivalenol. Funct Integr Genomic. 2008, 8: 421-427. 10.1007/s10142-008-0089-4.

    Article  CAS  Google Scholar 

  51. 51.

    Ryan T, Joiner BL: Normal probability plots and tests for normality. Minitab Statistical Software. Technical Reports. Penn State University Press, University Park, Penn; 1983.

    Google Scholar 

  52. 52.

    Snedecor G, Cochran W: Statistical Methods. The Iowa State University Press, Ames; 1980.

    Google Scholar 

Download references


This work was supported by the Science Foundation Ireland research fund (IN10/IN.1/B3028) and Department of Agriculture Research Stimulus Grant RSF 07 513. We thank K. Sato, Barley Germplasm Centre, Okayama University, Japan for providing seeds of Akashinriki and its uzu derivative.

Author information



Corresponding author

Correspondence to Shahin S Ali.

Additional information

Competing interests

The authors declare that they have no competing interests.

Electronic supplementary material

Figure S2.

Additional file 1: Figure S1.: Response of uzu derivatives to Fusarium seedling blight disease. Leaf response of uzu derivatives to Fusarium culmorum. Figure S3. Effect of virus-induced gene silencing (VIGS) of phytoene desaturase (PDS) on the phenotype of leaves of barley cultivar Akashinriki and its uzu derivative. (DOCX 466 KB)

Additional file 2: Table S1. Differentially regulated (≥1.5 fold) transcripts between brassinosteroid-insensitive barley line uzu and wild type parent Akashinriki in response to Fusarium seedling blight. (XLS 113 KB)

Additional file 3: Table S2.: Transcripts differentially regulated (≥1.5 fold) in the uzu derivative of cv. Akasinriki in response to Fusarium seedling blight. (XLS 46 KB)

Additional file 4: Table S3.: Primers used for real time quantitative RT-PCR analysis. Table S4. Primers used for VIGS. (DOC 44 KB)

Authors’ original submitted files for images

Rights and permissions

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Ali, S.S., Gunupuru, L.R., Kumar, G.B.S. et al. Plant disease resistance is augmented in uzu barley lines modified in the brassinosteroid receptor BRI1. BMC Plant Biol 14, 227 (2014).

Download citation


  • Disease resistance
  • Brassinosteroid
  • Uzu
  • BRI1
  • Fusarium