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Molecular Plant Pathology logoLink to Molecular Plant Pathology
. 2010 Jun 7;11(5):625–640. doi: 10.1111/j.1364-3703.2010.00633.x

Cellular and transcriptional responses of wheat during compatible and incompatible race‐specific interactions with Puccinia striiformis f. sp. tritici

TOLGA O BOZKURT 1,2,, GRAHAM RD MCGRANN 2, RUTH MACCORMACK 2, LESLEY A BOYD 2, MAHINUR S AKKAYA 1,
PMCID: PMC6640440  PMID: 20696001

SUMMARY

The initial stages of Puccinia striiformis f. sp. tritici (the causal agent of yellow rust in wheat) infection triggered a hypersensitive cell death (HCD) response in both compatible and Yr1‐mediated incompatible interactions, although the response was earlier and more extensive in the incompatible interaction. Later stages of fungal development were only associated with an HCD response in the incompatible interaction, the HCD response being effectively suppressed in the compatible interaction. Cell autofluorescence was seen in mesophyll cells in direct contact with fungal infection hyphae (primary HCD) and in adjacent mesophyll cells (secondary HCD), indicating the activation of cell‐to‐cell signalling. Microarray analysis identified a number of defence‐related transcripts implicated in Yr1‐mediated resistance, including classical pathogenesis‐related (PR) transcripts and genes involved in plant cell defence responses, such as the oxidative burst and cell wall fortification. A quantitative reverse transcriptase‐polymerase chain reaction time course analysis identified a number of defence‐related genes, including PR2, PR4, PR9, PR10 and WIR1 transcripts, associated with the latter stages of Yr1‐mediated resistance. A meta‐analysis comparison of the Yr1‐regulated transcriptome with the resistance transcriptomes of the race‐specific resistance gene Yr5 and the race‐nonspecific adult plant resistance gene Yr39 indicated limited transcript commonality. Common transcripts were largely confined to classic PR and defence‐related genes.

INTRODUCTION

Puccinia striiformis f. sp. tritici is an obligate biotrophic fungus and the causal agent of yellow rust (also known as stripe rust) of wheat (Triticum aestivum L.). Yellow rust is an economically important foliar disease, particularly prevalent in temperate and maritime wheat‐growing regions, resulting in yield losses in the range of 10%–70% where susceptible wheat varieties are grown (Boyd, 2005; Chen, 2005). The disease is generally controlled through a combination of resistance (R) gene deployment and fungicide application. Major race‐specific R genes have been a valuable weapon in the wheat breeders' armoury. However, the effectiveness of R genes tends to be short lived because of virulence changes in the pathogen population (Bayles et al., 2000). The race‐specific R gene Yr1 was identified by Lupton and Macer (1962) and has been deployed worldwide. Consequently, virulence to Yr1 is common in many parts of the world, including Europe and the Far East (McIntosh et al., 1995). However, in Turkey, a major producer and exporter of wheat where yellow rust is a serious disease, Yr1 is still effective (personal communication with the officials at ‘Tarla Bitkileri Merkez Arastirma Enstitusu’, Ankara, Turkey).

The infection stages of the asexual life cycle of P. striiformis f. sp. tritici are well defined. Airborne urediniospores germinate on the plant surface and enter the plant through stomatal openings. A substomatal vesicle forms within the stomatal cavity, from which three infection hyphae grow. At the point of contact between an infection hypha and a host mesophyll cell, a haustorial mother cell differentiates. An infection peg develops, breaching the mesophyll cell wall and establishing a haustorium inside the living mesophyll cell. Further colonization occurs through the development of intercellular runner hyphae which grow throughout the leaf, producing further haustoria. By 14 days after inoculation, the asexual life cycle is complete and urediniospore‐bearing upedicels erupt through the leaf epidermis, forming the characteristic yellow pustules (Cartwright and Russell, 1981; Garrood, 2001; Mares, 1979; Mares and Cousen, 1977). However, little is known about the processes involved in the perturbation of this infection cycle, with different yellow rust resistance genes appearing to disrupt the infection process at different stages in the pathogen's development (Jagger, 2009; Melichar et al., 2008; 2006, 2008).

A better understanding of the cellular and molecular mechanisms behind race‐specific resistance may allow for the more effective deployment of these R genes to achieve durable resistance strategies (Boyd, 2005). Early plant defence responses, triggered by the recognition of conserved pathogen‐associated molecular patterns (PAMPs), are collectively referred to as PAMP‐triggered immunity (PTI; Zipfel, 2008). Subsequently, R gene‐mediated responses are triggered by the recognition of specific, pathogen‐derived effector molecules, termed avirulence factors. This effector‐triggered immunity (ETI) is considered to result in accelerated and stronger defence responses (Jones and Dangl, 2006).

A global picture of the reprogramming of the transcriptome that occurs during host compatible and incompatible interactions in cereals can now be obtained using array technologies. In cereals, changes in the transcriptome produced by a number of pathogens, including those causing yellow and leaf rust in wheat (Bolton et al., 2008; 2008a, 2008b; Hulbert et al., 2007), Magnaporthe in wheat and rice (Tufan et al., 2009; Vergne et al., 2007), Blumeria graminis (2004, 2006) and Polymyxa (McGrann et al., 2009) infection in barley, and towards ToxA from Pyrenophora tritici‐repentes in wheat (Adhikari et al., 2009), have highlighted the transcripts induced specifically by each R gene‐mediated interaction, as well as those induced in common during incompatible and compatible plant–pathogen interactions.

In this study, we have investigated the histopathological and transcriptional changes that occur in wheat in response to P. striiformis f. sp. tritici isolates differing in their virulence for Yr1. A comparative analysis of the changes in the transcriptome mediated by Yr1 was carried out with the transcriptome profiles of other published wheat yellow rust resistance genes. Possible isolate‐specific effects were subsequently examined by including, in the histopathological analysis, a compatible, near‐isogenic wheat genotype differing only at the Yr1 locus. Puccinia striiformis f. sp. tritici development and the plant's cellular responses were examined over a 72‐h time course following inoculation.

RESULTS

Puccinia striiformis f. sp. tritici infection phenotypes

Seedlings of Avocet*6/Yr1 and Avocet S were inoculated with either the P. striiformis f. sp. tritici Yr1‐virulent isolate, race 169E136 (compatible with Avocet*6/Yr1, compatible with Avocet S), or the Yr1‐avirulent isolate, race 232E137 (incompatible with Avocet*6/Yr1, compatible with Avocet S). Yellow rust pustules were observed 14 days post‐inoculation (dpi) in all three compatible interactions, whereas, in the incompatible interaction between Avocet*6/Yr1 and race 232E137, necrotic flecks were seen at 10 dpi. No visible symptoms were observed on mock‐inoculated plants of either wheat genotype (Fig. 1).

Figure 1.

Figure 1

Puccinia striiformis f. sp. tritici inoculations. Yellow rust infection phenotypes 14 days after inoculation on Avocet*6/Yr1 (A) and Avocet S (B) inoculated with mock (i), the Yr1‐avirulent race 232E137 (ii) and the Yr1‐virulent race 169E136 (iii). The incompatible interaction (Aii) shows small necrotic flecks, whereas the three compatible interactions (Aiii, Bii and Biii) show yellow rust pustules.

Puccinia striiformis f. sp. tritici development and plant cellular responses

Puccinia striiformis f. sp. tritici development and subsequent plant responses were monitored over a 72‐h time course, taking samples for microscopy and transcriptomic analysis at 6, 12, 24, 48 and 72 h post‐inoculation (hpi) in incompatible and compatible interactions with Avocet*6/Yr1 and Avocet S.

Germ tubes and substomatal vesicles were observed at 6 hpi, and infection hyphae at 12 hpi, in all four wheat genotype–P. striiformis f. sp. tritici interactions (Fig. 2A). There were no significant differences between each of the four interactions over time, indicating that both isolates developed at similar rates on both wheat genotypes (data not shown). However, significant differences in the ability of each isolate to form infection sites, measured as a percentage of germinated urediniospores that formed substomatal vesicles, were observed (Fig. 3; F probability, 0.003). The avirulent race 232E137 formed fewer infection sites compared with the virulent race 169E136 (t‐test probability, 0.004). A genotype–isolate interaction was also observed, with race 232E137 forming fewer infection sites on Avocet S than on Avocet*6/Yr1 (t‐test probability, 0.001). Having formed infection sites, the number producing infection hyphae was similar for all four interactions, with 80% of infection sites developing infection hyphae by 24 hpi, rising to 100% by 72 hpi (data not shown).

Figure 2.

Figure 2

Puccinia striiformis f. sp. tritici development and plant cellular responses. (A) Germinated urediniospore (GU), substomatal vesicle (SSV), primary infection hyphae (IH) and runner hyphae (RH). (B) Haustorial mother cells (HMC) formed along the length of an RH. (C) Mesophyll primary (1° HCD) and secondary (2° HCD) hypersensitive cell death. (D) Mesophyll cell collapse (MCC). All images were taken from the Avocet*6/Yr1 plus Yr1‐avirulent isolate 232E137 interaction at 72 hpi. Bars, 50 µm.

Figure 3.

Figure 3

Puccinia striiformis f. sp. tritici (Pst) infection sites. The number of infection sites formed as a percentage of the number of germinated urediniospores is shown over a 72‐h time course for the Yr1‐avirulent isolate 232E137 and the Yr1‐virulent isolate 169E136 on Avocet*6/Yr1 and Avocet S.

A hypersensitive cell death (HCD) response towards P. striiformis f. sp. tritici infection was observed as autofluorescing mesophyll cells (Fig. 2C,D) that eventually underwent granulation and cell collapse (Fig. 2D). HCD was seen in mesophyll cells in direct contact with infection hyphae (primary HCD; Fig. 4A) and in mesophyll cells that were not in direct contact with fungal structures (secondary HCD; Fig. 4B), but adjacent to mesophyll cells undergoing primary HCD. Primary and secondary HCD were observed in both the incompatible interaction and in the three compatible interactions. However, in the incompatible interaction, the proportion of infection sites exhibiting both primary and secondary HCD was significantly greater than in the three compatible interactions (F probability, <0.001; t‐test probability, <0.001). In the incompatible interaction between Avocet*6/Yr1 and race 232E137, primary HCD was first observed at 24 hpi and, by 48 hpi, over 40% of infection sites exhibited primary HCD. In the three compatible interactions, HCD was slower to appear and involved fewer mesophyll cells. By 48 hpi, secondary HCD was observed in all four wheat genotype–isolate interactions (Fig. 4B).

Figure 4.

Figure 4

Puccinia striiformis f. sp. tritici (Pst) infection sites exhibiting mesophyll hypersensitive cell death (HCD). The percentage of infection sites exhibiting primary (A) and secondary (B) mesophyll HCD associated with Pst substomatal vesicle infection hyphae is shown for the Yr1‐avirulent isolate 232E137 and the Yr1‐virulent isolate 169E136 on Avocet*6/Yr1 and Avocet S.

Runner hyphae (Fig. 2B) were observed at 24 hpi in the compatible interaction between Avocet S and race 169E136 and in all interactions by 48 hpi (Fig. 5A). The number of runner hyphae increased markedly by 72 hpi in all three compatible interactions, with 70%–90% of infection sites having developed runner hyphae by this time point (Fig. 5A). Significantly fewer runner hyphae were produced by infection sites in the incompatible interaction at both 48 and 72 hpi (t‐test probabilities, 0.01–0.001). Runner hyphae associated with HCD were seen in the incompatible interaction from 48 hpi onwards (Fig. 5B). A small percentage of infection sites in the compatible interaction between Avocet*6/Yr1 and the virulent race 169E136 exhibited runner hyphae associated with HCD; however, neither of the Avocet S–P. striiformis f. sp. tritici compatible interactions produced infection sites in which the runner hyphae were associated with HCD (F probability, <0.001; t‐test probability, <0.001; Fig. 5B).

Figure 5.

Figure 5

Puccinia striiformis f. sp. tritici (Pst) infection sites with runner hyphae. The percentage of infection sites having formed runner hyphae (A) and the percentage of infection sites with runner hyphae associated with hypersensitive cell death (HCD) (B) are shown for the Yr1‐avirulent isolate 232E137 and the Yr1‐virulent isolate 169E136 on Avocet*6/Yr1 and Avocet S.

Wheat GeneChip transcriptome analysis of Yr1 incompatible and compatible interactions

Transcript levels were assessed relative to mock‐inoculated controls in incompatible and compatible interactions between Avocet*6/Yr1 and P. striiformis f. sp. tritici isolates 232E137 and 169E139, respectively. Resource availability resulted in samples collected at 6, 12, 24, 48 and 72 hpi being pooled for each interaction prior to processing for GeneChip hybridization. Although pooling risks the loss of low‐abundance transcripts and transcripts showing specific temporal expression, a general overview of the changes in defence gene transcription can still be obtained (McGrann et al., 2009). Transcripts of probe sets were considered to be differentially expressed if they passed the criterion of fold change (FC), relative to the mock‐inoculated control, of more than two with P < 0.05 (Welch T‐test). Sixty probe sets were identified as transcriptionally regulated during the Avocet*6/Yr1 incompatible interaction, 37 of which were upregulated and 23 were downregulated (Fig. 6A; Table 1). In the compatible interaction, 42 probe sets were upregulated, whereas only one was repressed (Fig. 6A; Table 2). Functional annotation indicated that the majority of the genes in both the incompatible and compatible interactions were involved in plant defence (Fig. 6B). Closer inspection showed that, in the incompatible interaction, most of these transcripts were annotated as classical pathogenesis‐related (PR) proteins, but also included transcripts involved in lignin and cell wall fortification and the defence‐related oxidative burst. In the compatible interaction, the majority of defence‐related transcripts were annotated as being involved in stress responses, including transcripts coding for heat shock proteins, caleosins and δ‐1‐pyrroline‐5‐carboxylate synthetase (Table 2). A number of transcripts specific to carbohydrate metabolism were also induced in the compatible interaction, in particular fructan biosynthesis (Table 2). Four probe sets were identified as common to both interactions. These transcripts were upregulated and predicted to encode for defence‐related proteins, including a peroxidase, two putative chitinases and a β‐1,3‐glucanase (Fig. 6A; Table 3).

Figure 6.

Figure 6

Overlap between (A) and functional classification of (B) differentially expressed probe sets that were upregulated or downregulated in the incompatible and compatible interactions between Avocet*6/Yr1 and the Puccinia striiformis f. sp. tritici Yr1‐avirulent isolate 232E137 and the Yr1‐virulent isolate 169E136, respectively.

Table 1.

Differentially transcribed probe sets identified specifically during the incompatible interaction of Puccinia striiformis f. sp. tritici race 232E137 with Avocet 6*/Yr1.

Functional category Probe set ID Annotation Fold change (FC)
Defence
 Defence, cell wall Ta.97.1.S1_at WIR1B protein 2.6
 Defence, cell wall Ta.97.2.S1_x_at WIR1A protein 3.7
 Defence, cell wall Ta.13.1.S1_at WIR1 protein 2.5
 Defence, cell wall Ta.21556.1.S1_at Pathogen‐induced WIR1B protein 5.1
 Defence, cell wall Ta.21556.1.S1_x_at Pathogen‐induced WIR1B protein 4.7
 Defence, cell wall Ta.29365.1.S1_x_at Proline‐rich protein precursor −2.0
 Defence, cell wall Ta.28437.2.S1_s_at Proline‐rich protein −4.3
 Defence, cell wall Ta.21385.1.S1_x_at Proline‐rich protein −2.5
 Defence, cell wall Ta.28136.1.S1_x_at Proline‐rich protein −3.3
 Defence, cell wall Ta.24110.1.A1_s_at Putative proline‐rich protein −3.6
 Defence, cell wall Ta.30144.1.A1_x_at Proline‐rich protein −4.7
 Defence, lignin Ta.7883.1.S1_x_at Dirigent‐like protein −2.1
 Defence, oxidative stress/burst Ta.5557.1.S1_x_at Germin‐like protein −2.5
 Defence, oxidative stress/burst Ta.9599.1.S1_a_at Glutathione‐S‐transferase −4.5
 Defence, PR Ta.28.1.S1_at Glucan endo‐1,3‐β‐d‐glucosidase 4.3
 Defence, PR Ta.655.2.A1_x_at prx10 peroxidase‐like protein −2.8
 Defence, PR Ta.30501.1.S1_at Chitinase II 2.4
 Defence, PR Ta.27762.1.S1_x_at Pathogenesis‐related protein 1A/1B 5.4
 Defence, PR Ta.24501.1.S1_at Pathogenesis‐related protein 1A/1B 8.4
 Defence, PR TaAffx.110196.1.S1_s_at β‐1,3‐Glucanase 2.1
 Defence, PR TaAffx.108556.1.S1_at Pathogenesis‐related protein 4 3.5
 Defence, PR TaAffx.108556.1.S1_x_at Pathogenesis‐related protein 4 3.3
 Defence, PR Ta.25053.1.S1_at Thaumatin‐like protein (PR5) 2.0
 Defence, PR Ta.23322.3.S1_at Thaumatin‐like protein TLP8 4.2
 Defence, PR Ta.278.1.S1_at Pathogenesis‐related protein PRB1‐2 precursor 3.2
 Defence, PR Ta.278.1.S1_x_at Pathogenesis‐related protein PRB1‐2 precursor 3.2
 Defence, PR Ta.62.1.S1_x_at Pathogenesis‐related protein PRB1‐3 precursor 6.2
 Defence, PR Ta.22619.1.S1_x_at Pathogenesis‐related protein 10 2.1
 Defence, PR Ta.21348.2.S1_at Sulphur‐rich/thionin‐like protein 6.2
 Defence, stress induced Ta.191.1.S1_at Thiol protease 5.1
 Defence, stress induced Ta.7479.1.S1_a_at pTACR7 Cold‐regulated protein BLT14 −2.3
 Defence, stress induced Ta.7479.2.S1_x_at pTACR7 Cold‐regulated protein BLT14 −2.3
 Defence, stress induced Ta.20658.1.S1_a_at Putative esterase −2.2
 Defence, stress induced Ta.9110.1.S1_at One helix protein 2.3
Biogenesis of cellular components
 Biogenesis, cell wall Ta.23400.1.S1_at Putative pectinacetylesterase −2.0
Energy
 Energy, electron transport Ta.22615.1.S1_at Cytochrome P450 2.2
 Energy, electron transport Ta.8447.1.S1_a_at Cytochrome P450 family protein 2.2
 Energy, photosynthesis Ta.881.2.S1_at Putative light‐harvesting chlorophyll‐a/b protein of photosystem I 2.6
Metabolism
 Metabolism, secondary metabolism Ta.23031.1.A1_at Putative chalcone synthase 1 −2.6
 Metabolism, secondary metabolism Ta.23031.1.A1_x_at Putative chalcone synthase 1 −2.2
 Metabolism, secondary metabolism Ta.30731.1.S1_at Cytokinin‐O‐glucosyltransferase 1 2.2
 Metabolism, secondary metabolism Ta.23340.1.S1_at Cytokinin‐O‐glucosyltransferase 3 3.5
Transcription
 Transcription, transcriptional control Ta.14442.1.S1_at Hap5‐like protein −2.7
Transport
 Transport, endomembrane transport Ta.9347.1.S1_s_at Membrane protein −2.1
Function unknown
 Unknown Ta.23297.1.S1_x_at Hypothetical protein −2.5
 Unknown Ta.12035.1.S1_at Hypothetical protein 2.1
 Unknown Ta.21340.1.S1_a_at Hypothetical protein 2.4
 Unknown Ta.22662.1.S1_at Unknown protein 2.2
 Unknown Ta.23327.1.S1_at None 4.5
 Unknown Ta.1227.1.A1_at None −3.4
 Unknown Ta.12127.1.A1_at Hypothetical protein 2.2
 Unknown Ta.21314.1.S1_at None 2.0
 Unknown TaAffx.85782.1.S1_at Hypothetical protein −3.8
 Unknown Ta.22802.2.A1_x_at None −2.1
 Unknown Ta.23340.2.S1_at None 2.7
 Unknown TaAffx.15045.1.S1_at None −3.0

PR, pathogenesis‐related.

Table 2.

Differentially transcribed probe sets identified specifically in the compatible interaction of Puccinia striiformis f. sp. tritici race 169E136 with Avocet 6*/Yr1.

Functional category Probe set ID Annotation Fold change (FC)
Defence
 Defence, cell wall TaAffx.128643.2.A1_at Proline‐rich protein precursor −2.0
 Defence, oxidative stress/burst TaAffx.104812.1.S1_s_at Lipoxygenase 2.1, chloroplast precursor 2.1
 Defence, oxidative stress/burst TaAffx.90316.1.S1_at Lipoxygenase 2.2
 Defence, stress induced Ta.5610.1.S1_at Non‐symbiotic haemoglobin 2.3
 Defence, stress induced Ta.7091.1.S1_at δ‐1‐pyrroline‐5‐carboxylate synthetase 2.2
 Defence, stress induced Ta.21547.1.S1_at 10‐kDa chaperonin 2.2
 Defence, stress induced Ta.21547.1.S1_x_at 10‐kDa chaperonin 2.1
 Defence, stress induced Ta.9830.1.A1_a_at Putative caleosin 3.1
 Defence, stress induced Ta.9830.1.A1_at Putative caleosin 2.8
 Defence, stress induced Ta.28631.1.S1_at 16.9‐kDa class I heat shock protein 3.2
 Defence, stress induced Ta.9377.1.S1_at Heat shock protein precursor 2.2
 Defence, stress induced Ta.30802.1.A1_at Heat shock 70‐kDa protein 2.1
 Defence, stress induced Ta.30802.1.A1_x_at Heat shock 70‐kDa protein 2.0
 Defence, stress induced Ta.9925.1.A1_a_at Aldehyde dehydrogenase 2.1
 Defence, lignin Ta.2659.1.S1_at Cinnamyl alcohol dehydrogenase 2.6
Signal transduction
 Signal transduction, regulation Ta.12348.1.A1_at Protein phosphatase 2C 2.2
Metabolism
 Metabolism, fatty acid metabolism Ta.6247.2.S1_at Acetyl‐CoA C‐acyltransferase 2.6
 Metabolism, general Ta.14087.1.S1_at Putative oxidoreductase 2.1
 Metabolism, vitamin metabolism Ta.22443.1.S1_s_at Thiamine biosynthesis protein thiC 2.2
 Metabolism, carbohydrate Ta.2788.1.A1_at Sucrose:sucrose 1‐fructosyltransferase 2.3
 Metabolism, carbohydrate Ta.2789.1.S1_a_at Sucrose:fructan 6‐fructosyltransferase 3.8
 Metabolism, carbohydrate Ta.2789.2.S1_at Sucrose:fructan 6‐fructosyltransferase 2.9
 Metabolism, carbohydrate Ta.2789.2.S1_x_at Sucrose:fructan 6‐fructosyltransferase 3.2
 Metabolism, carbohydrate Ta.93.1.S1_at Sucrose synthase 2 2.3
 Metabolism, carbohydrate Ta.1279.1.S1_at α‐1,4‐Glucan phosphorylase l isozyme 2.0
 Metabolism, carbohydrate Ta.6869.1.S1_at ADP‐glucose pyrophosphorylase small subunit 2.2
 Metabolism, carbohydrate Ta.3475.1.A1_at Fructan 1‐fructosyltransferase 4.1
 Metabolism, carbohydrate Ta.3475.2.S1_at Fructan 1‐fructosyltransferase 4.2
 Metabolism, secondary metabolism Ta.21020.1.S1_at 2‐Oxoglutarate‐dependent dioxygenase 2.2
Protein fate
 Protein fate, processing Ta.30798.3.S1_at Asparaginyl endopeptidase 2.0
 Protein fate, folding Ta.74.1.S1_at Protein disulphide isomerase 2 precursor 2.7
 Protein fate, ubiquitination pathway Ta.1274.1.S1_a_at Calcyclin‐binding protein 2.1
Transport
 Transport, heavy metal ion transport Ta.11265.1.S1_at Copper chaperone (CCH)‐related protein‐like 2.3
 Transport, heavy metal ion transport Ta.7567.1.A1_at Copper chaperone (CCH)‐related protein‐like 3.4
 Transport, vacuolar/lysosomal transport Ta.13370.1.A1_at Vacuolar sorting receptor 1 2.3
Function unknown
 Unknown Ta.25449.1.S1_s_at Hypothetical protein 2.2
 Unknown Ta.15894.1.S1_at None 2.0
 Unknown TaAffx.86018.1.S1_at None 2.3
 Unknown Ta.13650.2.S1_at None 2.3

Table 3.

Probe sets differentially transcribed in both incompatible and compatible interactions of Puccinia striiformis f. sp. tritici, races 232E137 and 169E136, respectively, with Avocet 6*Yr1.

Functional category Probe set ID Annotation Fold change (FC)
Incompatible Compatible
Defence
 Defence, PR Ta.5385.1.S1_at Peroxidase 2.9 2.3
 Defence, PR Ta.21342.1.S1_x_at Chitinase 3.6 2.4
 Defence, PR Ta.14946.1.S1_at Putative chitinase 4.2 2.5
 Defence, PR TaAffx.15327.1.S1_at β‐1,3‐Glucanase (PR‐2) 8.5 2.4

PR, pathogenesis‐related.

Meta‐analysis of Yr‐mediated resistance transcriptomes

A meta‐analysis was carried out between the Yr1 microarray expression data and that of previously published Affymetrix wheat microarray datasets for the yellow rust race‐specific R gene Yr5 (Coram et al., 2008b) and the non‐race‐specific, adult plant resistance (APR) gene Yr39 (Coram et al., 2008a). To enable a comparison to be made between Yr1 and the published datasets, the data files for each time point analysed in the Yr5 (6, 12, 24, 48 hpi) and Yr39 (12, 24, 48 hpi) studies were combined and analysed as one dataset based on treatment, thereby accommodating the RNA pooling method used for Yr1. Probe sets differentially expressed in each R gene‐mediated interaction were identified by pair‐wise comparison between pathogen‐treated and mock‐inoculated control samples.

Eighty and 58 probe sets were identified as specifically differentially expressed (FC > 2, P < 0.05, Welch T‐test) in the Yr1‐mediated resistant and susceptible interactions, respectively (Tables S2 and S3, see Supporting Information), significantly more than identified in the analysis of the Yr1 microarray data alone (1, 2). The meta‐analysis also identified seven transcripts that were differentially transcribed in both interactions (Table S4, see Supporting Information). Comparison of the transcriptomes regulated by the three R genes showed low levels of similarity (Table 4). The highest levels of conservation were observed between the transcriptomes regulated by the two race‐specific R genes Yr1 and Yr5, which shared 20 transcripts in common, all of which were upregulated. Ten of these transcripts were annotated as PR genes, including PR1, β‐1,3‐glucanases, peroxidases and chitinases. In addition, WIR1, cytokinin‐O‐glucosyltransferases, a cytochrome P450 and genes with no functional annotation were upregulated in common. The Yr1‐ and Yr39‐regulated transcriptomes only had four probe sets in common, encoding for PR1 and a cytokinin‐O‐glucosyltransferase transcript, all of which were in common with the Yr5‐regulated transcriptome (Table 4).

Table 4.

Probe sets regulated in common by Yr1‐, Yr5‐ and Yr39‐mediated resistance.

Functional category Probe set ID Annotation Fold change (FC)*
Yr1 Yr5 Yr39
Defence
 Defence, PR Ta.21342.1.S1_x_at Chitinase 3.3 3.1
 Defence, PR Ta.24501.1.S1_at Pathogenesis‐related protein 1A/1B 10.8 4.3
 Defence, PR Ta.27762.1.S1_x_at Pathogenesis‐related protein 1A/1B 6.5 2.4
 Defence, PR Ta.278.1.S1_at Pathogenesis‐related protein PRB1‐2 precursor 3.6 2.1 2.6
 Defence, PR Ta.278.1.S1_x_at Pathogenesis‐related protein PRB1‐2 precursor 4.0 2.2 2.5
 Defence, PR Ta.28.1.S1_at PR2‐Glucan endo‐1,3‐β‐d‐glucosidase 3.9 2.5
 Defence, PR Ta.30501.1.S1_at Chitinase II 2.7 3.5
 Defence, PR Ta.5385.1.S1_at Peroxidase 3.5 4.6
 Defence, PR Ta.62.1.S1_x_at Pathogenesis‐related protein PRB1‐3 precursor 8.5 4.6 2.5
 Defence, PR TaAffx.15327.1.S1_at PR‐2‐β‐1,3‐glucanase 9.8 4.9
 Defence, cell wall Ta.21556.1.S1_at Pathogen‐induced WIR1B protein 5.8 4.2
 Defence, cell wall Ta.21556.1.S1_x_at Pathogen‐induced WIR1B protein 5.7 4.4
 Defence, cell wall Ta.3133.1.S1_x_at Pathogen‐induced protein WIR1A homologue 4.2 4.0
 Defence, cell wall Ta.97.1.S1_at Pathogen‐induced WIR1B protein 2.7 3.4
 Defence, cell wall Ta.97.2.S1_x_at Pathogen‐induced WIR1A protein 5.2 4.5
Metabolism
 Metabolism, secondary metabolism Ta.23340.1.S1_at Cytokinin‐O‐glucosyltransferase 3 4.7 7.0
 Metabolism, secondary metabolism Ta.30731.1.S1_at Cytokinin‐O‐glucosyltransferase 1 2.1 5.6 2.4
Energy
 Energy, electron transport Ta.8447.1.S1_a_at Cytochrome P450 family protein 2.7 5.6
Function unknown
 Unknown Ta.23340.2.S1_at None 3.1 5.9
 Unknown Ta.5518.1.S1_at None 3.9 4.2

PR, pathogenesis‐related.

*

FC relative to mock inoculated control.

Quantitative reverse transcriptase‐polymerase chain reaction (qRT‐PCR) validation analysis of selected transcripts

Six differentially expressed probe sets functionally annotated to be involved in plant defence were selected for qRT‐PCR analysis. Five of these transcripts were predicted by the microarray to be induced during the Yr1 incompatible interaction. These included PR2, a β‐1,3‐glucanase (probe set Ta.28.1.S1_at), PR4, a chitin‐binding protein (probe set TaAffx.108556.1.S1_at), PR10, a ribonuclease‐like protein (probe set Ta.22619.1.S1_x_at), and two WIR1 transcripts (probe sets Ta.97.1.S1_at and Ta.21556.1.S1_at). The sixth probe set, a PR9 peroxidase (probe set Ta.5385.1.S1_at), was induced in response to both isolates (Fig. 7). To compare the transcription profiles with plant cellular defence responses, the six probe sets were analysed in the same four wheat–isolate inoculations as used for the histopathological study. Statistical analysis confirmed that, for all transcripts tested, no significant differences between qRT‐PCR replications were detected.

Figure 7.

Figure 7

Quantitative reverse transcriptase‐polymerase chain reaction (qRT‐PCR) time‐course validation of selected array transcripts. Six differentially expressed probe sets functionally annotated to be involved in plant defence were selected for qRT‐PCR analysis. Relative transcript levels are shown for the interactions between Avocet*6/Yr1 and Avocet S with the Yr1‐avirulent isolate 232E137 and the Yr1‐virulent isolate 169E136. Transcripts analysed were PR2 (a β‐1,3‐glucanase; probe set Ta.28.1.S1_at), PR4 (a chitin‐binding protein; probe set TaAffx.108556.1.S1_at), PR9 (a peroxidase; probe set Ta.5385.1.S1_at), PR10 (a ribonuclease‐like protein; probe set Ta.22619.1.S1_x_at), and two probe sets annotated as WIR1 transcripts (Ta.97.1.S1_at and Ta21556.1.S1_at). Mean values of two independent technical replications are shown with standard deviations.

In general, all six transcripts were present at higher levels in the incompatible interaction from 24 hpi onwards, with transcript levels being significantly upregulated at 72 hpi between the incompatible and the three compatible interactions (t‐test probabilities between 0.09 and <0.001). In the compatible interactions, the transcript levels of PR2 and PR4 were particularly low at all time points; however, higher levels of PR9, PR10 and WIR1 transcripts were seen between 24 and 48 hpi with isolate 232E137 (Fig. 7).

In addition, the transcription of three probe sets predicted by the meta‐analysis to be induced in Yr1‐mediated resistance, that were not identified in the original analysis, were analysed by qRT‐PCR. The three transcripts examined were Ta.3976.1.S1_at (a flavanone 3‐hydroxylase‐like protein), Ta.3133.1.S1_x_at (a pathogen‐induced protein WIR1A homologue) and Ta.5518.1.S1_at (function unknown). qRT‐PCR analysis indicated that all three transcripts were differentially upregulated in the Yr1‐mediated incompatible interaction. The transcript profiles were similar to those of the six probe sets obtained from the Yr1 analysis. Transcript levels were slightly higher in the Yr1 incompatible interaction from 24 to 48 hpi, but significantly higher at 72 hpi (t‐test probabilities between 0.009 and <0.001; Fig. S1, see Supporting Information).

DISCUSSION

An early and extensive HCD response was seen in the Yr1‐mediated incompatible interaction. However, the HCD response was not exclusive to the incompatible interaction; both primary and secondary HCD were found to be associated with the initial stages of infection in all three compatible interactions (Fig. 4). HCD triggered by substomatal infection hyphae may be part of an early basal response towards both incompatible and compatible P. striiformis f. sp. tritici isolates. Runner hyphae associated with HCD were seen primarily only in the resistant interaction at 48 hpi and are presumably part of the R gene response mediated by Yr1 (Fig. 5).

Both P. striiformis f. sp. tritici isolates developed at the same rate in planta. However, the Yr1‐avirulent isolate 232E137 formed fewer infection sites compared with the virulent isolate 169E136 (Fig. 3), an observation that was obtained after microarray analysis had been carried out. This indicates a greater ability of race 169E136 to locate stomatal openings, form substomatal vesicles and establish infection sites. The more aggressive nature of race 169E136 was also reflected in the transcript levels. Defence gene transcript levels in the compatible interactions involving 169E136 were generally lower at the mid‐range time points than in the compatible interaction involving race 232E237 (Fig. 7). This may indicate a greater capacity of 169E136 to suppress early basal defence responses, resulting in its greater ability to establish infection sites and the earlier appearance of runner hyphae in the Avocet S + 169E136 compatible interaction. Alternatively, race 169E136 may trigger a weaker PTI response, resulting in a more aggressive phenotype. Either way, this did not appear to affect the overall infection phenotype observed at 14 dpi (Fig. 1). Having formed an infection site, both isolates were able to establish multiple runner hyphae, leading to comparable levels of pustule and urediniospore formation in all compatible interactions.

In the microarray analysis, probe sets differentially transcribed specifically in the incompatible interaction can be inferred to be involved in Yr1‐mediated resistance, whereas those specific to the compatible interaction may be recruited by P. striiformis f. sp. tritici for the establishment of infection, or may be involved in the plant's response to pathogen colonization. Transcripts exhibiting similar expression profiles in response to avirulent and virulent P. striiformis f. sp. tritici isolates are considered to be part of the basal resistance response (Coram et al., 2008b). qRT‐PCR validation of selected probe sets showed no significant induction of transcription of the Yr1‐specific defence transcripts before 24 hpi (Fig. 7), but demonstrated significantly higher transcript levels at 72 hpi in the incompatible interaction. This may indicate a limited role for these particular transcripts in the HCD response seen towards substomatal infection hyphae at 24 hpi (Fig. 4), but a possible role in Yr1‐mediated HCD resistance (Fig. 5).

A high proportion of the defence‐related transcripts identified in the Yr1‐mediated incompatible interaction were annotated as PR‐like genes (Table 1). The induction of PR transcripts appears to be a common response of wheat to plant pathogens (Adhikari et al., 2009; Bolton et al., 2008; 2008a, 2008b, 2010; Hulbert et al., 2007; Moldenhauer et al., 2008; Tufan et al., 2009). There were also a number of transcripts specific to the incompatible interaction with putative roles in plant cell wall defence, including proline‐rich and dirigent‐like proteins. Proline‐rich proteins have been identified that assist cell wall strengthening through cross‐linking mechanisms (Sheng et al., 1991; Zhang et al., 1993), whereas dirigent proteins are involved in lignin biosynthesis (Burlat et al., 2001; Davin and Lewis, 2005). Transcripts of both of these proteins were downregulated in the Yr1 incompatible interaction, which may indicate a transcriptional feedback regulation mechanism operating for these genes. Transcripts of WIR1 were also commonly upregulated in the Yr1‐mediated incompatible interaction. WIR1‐like transcripts have been shown to be induced in wheat in response to both biotrophic and necrotrophic pathogens (Bolton et al., 2008; Bull et al., 1992; 2008a, 2008b, 2010; Desmond et al., 2008; Hulbert et al., 2007; Tufan et al., 2009). WIR1 is a small membrane‐associated protein with a proposed role in maintaining plasma membrane cell wall integrity (Bull et al., 1992), possibly preventing excessive cell damage in regions undergoing an HCD response. WIR1 may therefore have a role in limiting the damage done by the extensive, cell‐to‐cell HCD response seen in the incompatible interaction. Furthermore, two probe sets encoding cytokinin‐O‐glucosyltransferases (Ta.30731.1.S1_at and Ta.23340.1.S1_at) were also found to be induced in the Yr1‐mediated incompatible interaction. Glucosyltransferases are involved in the regulation of cellular homeostasis and secondary metabolism, and have been shown to protect host cells by detoxifying pathogen toxins (Poppenberger et al., 2003). Ta.30731.1.S1_at and Ta.23340.1.S1_at were also found to be induced in response to Magnaporthe oryzae (Tufan et al., 2009) and Fusarium pseudograminearum (Desmond et al., 2008), suggesting a possible common detoxification pathway in wheat against fungal pathogens.

Of the probe sets upregulated in the compatible interaction, nine were involved in processes relating to carbohydrate metabolism, in particular fructan biosynthesis. As P. striiformis f. sp. tritici is a biotrophic pathogen, it needs to acquire nutrients from the living plant for fungal growth; the induction of these transcripts could therefore indicate a shift in host metabolism that is required for fungal development. The reprogramming of carbohydrate metabolism has been reported in other plant–pathogen interactions. Sclerotinia sclerotiorum infection in Brassica species altered the expression of genes encoding for enzymes involved in carbohydrate and energy metabolism, redirecting carbon reserves to the tricarboxylic acid cycle (Zhao et al., 2009). In maize, Ustilago maydis colonization prevents the establishment of C4 photosynthesis (Horst et al., 2008). The changes in carbohydrate metabolism in infected leaves suggest that the fungus prevents the leaf from establishing a sink to sources transition, maintaining sink metabolism in the infected plant cells for fungal growth.

To compare the Yr1‐regulated transcriptome with that of previously published datasets for Yr‐mediated P. striiformis f. sp. tritici–wheat interactions, a meta‐analysis of the array data was performed (Table 4). Comparison of the transcriptomes regulated by Yr1, Yr5 and Yr39 showed low similarity, with the two race‐specific R genes Yr1 and Yr5 having the most differentially expressed transcripts in common. All of the annotated transcripts, except one (cytochrome P450 family protein), encode for defence‐related genes, including classic PR genes, genes involved in fungal detoxification and cell wall remodelling. A similar lack of commonality in transcript profiles was observed in a meta‐analysis of Yr R gene‐mediated resistance using a custom‐array, most of the transcripts showing common differential expression between Yr genes representing classic PR and defence‐related genes (Coram et al., 2010).

This study has demonstrated that resistance mediated by the race‐specific R gene Yr1 against P. striiformis f. sp. tritici in wheat involves two phases of HCD. The first phase targets initial fungal invasion and occurs in both incompatible and compatible interactions. The second phase targets those infection sites that have escaped the first HCD response and is strongly associated with Yr1‐mediated resistance. Transcription profiling of the Yr1‐mediated interaction indicated that the second phase of HCD is accompanied by an increase in transcript abundance of classic plant defence‐related genes, whereas a meta‐analysis comparison suggested that similar defence‐related genes may also be important in other wheat race‐specific Yr R gene interactions.

EXPERIMENTAL PROCEDURES

Plant material and P. striiformis f. sp. tritici inoculations

Avocet*6/Yr1 was developed at the Plant Breeding Institute, Cobbitt, Sydney, Australia by backcrossing the Yr1 donor cultivar Chinese 166 with the recurrent susceptible spring wheat selection Avocet S (Wellings et al., 2004). Seedlings of Avocet*6/Yr1 and Avocet S were grown to growth stage 12–13 (Zadoks et al., 1974) under a 16‐h/8‐h photoperiod cycle, supplemented with sodium lighting (240 µmol/m2/s), at day/night temperatures of 20 °C/15 °C and a relative humidity of 60% in a spore‐free containment level 2 glasshouse. Seedlings were inoculated with either the P. striiformis f. sp. tritici isolate race 169E136 (virulent for Yr1) or race 232E137 (avirulent for Yr1), or with talc for the mock inoculation (Boyd and Minchin, 2001). This resulted in one incompatible (Avocet*6/Yr1+ 232E137) and three compatible (Avocet*6/Yr1+ 169E136, Avocet S + 169E136 and Avocet S + 232E137) wheat–P. striiformis f. sp. tritici interactions, as well as control plant inoculations: Avocet*6/Yr1+ talc and Avocet S + talc. Two repeat inoculation experiments were undertaken 2 weeks apart. Leaf tissue was collected at 6, 12, 24, 48 and 72 hpi for both the histopathological and qRT‐PCR analyses.

Histopathology of P. striiformis f. sp. tritici–wheat interactions

To examine P. striiformis f. sp. tritici development and subsequent plant responses during the Yr1‐mediated incompatible and three compatible interactions, a 5‐cm leaf sample was collected from four seedlings at 6, 12, 24, 48 and 72 hpi for each of the four wheat–P. striiformis f. sp. tritici interactions. Two of the leaf samples were stored at −80 °C for subsequent RNA extraction and qRT‐PCR analysis. The remaining leaf samples were cleared and fixed in chloral hydrate (Garrood, 2001; Tufan et al., 2009). Fungal structures were stained using Uvitex‐2B (Ciba‐Geigy, Basle, Switzerland) following the protocol of Moldenhauer et al. (2006) with the modifications of Tufan et al. (2009). Fungal structures and plant cellular autofluorescence were examined using a Leica SP2 confocal microscope (Leica Microsystems Ltd., Milton Keynes, Buckinghamshire, UK) with a Plan‐Apochromat × 40.1.25 EC Plan‐Neofluar oil immersion objective lens. Spectral data were collected by excitation with 405‐nm diode and 488‐nm argon lasers. Uvitex‐2B‐stained fungal structures and autofluorescing plant cellular structures were identified using a Uvitex‐2B‐specific filter (420–500 nm) and an autofluorescence‐specific filter (505–654 nm), respectively.

Fungal development and associated plant responses were classified into the following developmental stages: (i) successful P. striiformis f. sp. tritici infection sites were classified as the development of a substomatal vesicle within the stomatal cavity; infection sites were measured relative to the number of germinated urediniospores; (ii) the development of P. striiformis f. sp. tritici infection and of runner hyphae was measured relative to the number of successful infection sites; (iii) plant primary hypersensitive cell death (1° HCD) was classified as a plant cell exhibiting autofluorescence that was in direct physical contact with a substomatal vesicle infection hypha; (iv) plant secondary hypersensitive cell death (2° HCD) was classified as a plant cell exhibiting autofluorescence that was not in direct physical contact with an infection hypha, but adjacent to a plant cell that was exhibiting autofluorescence; infection sites exhibiting 1° and 2° HCD were measured relative to the total number of successful infection sites; (v) runner hyphae associated with plant HCD were measured relative to the number of infection sites that had formed runner hyphae; between 50 and 200 infection sites were observed per leaf sample.

Affymetrix wheat genome array GeneChip® transcriptome analysis

Three Avocet*6/Yr1 inoculations were performed independent to those described for the histopathological and qRT‐PCR analyses. A single genotype, carrying the race‐specific yellow rust R gene Yr1, was used so as to avoid host genetic variation caused by incomplete isogenicity (Coram et al., 2008b). Forty seedlings of Avocet*6/Yr1 were inoculated with P. striiformis f. sp. tritici race 232E137 or 169E136, or a mock inoculation. Three biological replications were inoculated independently and all nine trays of seedlings (three biological replicates × avirulent + virulent + mock) were randomized in the glasshouse after inoculation. Six seedlings were collected for RNA extraction at 6, 12, 24, 48 and 72 hpi. The remaining seedlings were left to monitor the yellow rust infection phenotype at 14 dpi.

RNA was isolated using the TRIzol reagent method, following the manufacturer's instructions (Invitrogen, Carlsbad, CA, USA). Equal amounts of total RNA from each time point (16 µg) were pooled to obtain 80 µg of total RNA for each treatment (232E137, 169E136 and mock inoculations). Pooled RNA samples were further purified using the Qiagen RNeasy mini‐kit according to the manufacturer's instructions (Qiagen, Hilden, Germany), and RNA integrity was confirmed using the Agilent 2100 Bioanalyzer (Agilent Technologies, Stockport, UK).

The Wheat GeneChip, containing 61 127 probe sets representing 55 052 transcripts, was used to investigate transcriptional changes in each wheat–P. striiformis f. sp. tritici interaction (Affymetrix, Santa Clara, CA, USA; http://www.affymetrix.com/estore/browse/products.jsp?navMode=34000&productId=131517&navAction=jump&aId=productsNav). Each probe set was assumed to represent a single transcript. Three biological replications were examined, using the pooled RNA from the 6‐, 12‐, 24‐, 48‐ and 72‐hpi time points from each inoculation. Affymetrix GeneChip processing, including RNA quality control, microarray hybridization and data acquisition, was performed through contract research services by the John Innes Genome Laboratory, John Innes Centre, Norwich, UK.

Data were analysed using GeneSpring GX10 (Agilent Technologies), following Robust Multichip Average (RMA) normalization and baseline to median transformation of each data file. Two comparisons were made to identify probe sets differentially transcribed during incompatible (avirulent P. striiformis f. sp. tritici isolate 232E137 vs. mock) and compatible (virulent P. striiformis f. sp. tritici isolate 169E136 vs. mock) interactions. Probe sets with unreliable signals were discarded using the ‘filter on expression’ tool. Differentially expressed probe sets were selected using a Welch T‐test (P < 0.05) and FC > 2. Functional annotation of differentially expressed probe sets was performed using the plant expression database (http://www.plexdb.org/modules/PD_probeset/annotation.php?genechip=Wheat) and HarvEST (Affymetrix Wheat1 Chip v.1.54). Gene ontology was established using the TIGR rice genome annotation and Uniprot (http://beta.uniprot.org/) with functional classification based on the categories of 2008a, 2008b).

Meta‐analysis comparison of wheat yellow rust resistance gene‐mediated transcriptomes

Data (CEL) files from the Yr5 (Coram et al., 2008b) and Yr39 (Coram et al., 2008a) microarray analyses were retrieved from PLEXdb (http://www.plexdb.org/) and uploaded with the Yr1 microarray CEL files into GeneSpring GX10. Each data file was preprocessed with RMA normalization and baseline to median transformation. CEL files for specific time points in the Yr5 (Coram et al., 2008b) and Yr39 (Coram et al., 2008a) analyses were combined to allow comparison with the Yr1 dataset, where RNA from each time point was pooled prior to hybridization to the Affymetrix GeneChip. Pair‐wise comparisons were made between pathogen‐treated and mock‐inoculated control samples (Table S1). Differentially expressed probe sets, selected using a Welch T‐test (P < 0.05) and FC > 2, were compared between Yr1 and Yr5, and between Yr1 and Yr39.

qRT‐PCR time course analyses of selected transcripts

RNA was extracted using the RNeasy Plant Mini Kit (Qiagen) following the manufacturer's instructions. Each sample was treated with TURBO DNA‐free (Ambion, Austin, TX, USA) prior to cDNA synthesis from 1 µg of total RNA using SuperScript™ III‐RNase H reverse transcriptase (Invitrogen), according to the manufacturer's recommendations. cDNA was diluted 1:20 with nuclease‐free water prior to use. qRT‐PCRs consisted of 10 µL Sybr Green JumpStart™ Taq Ready mix (Sigma‐Aldrich, St. Louis, MO, USA), 5 µL cDNA template and 0.1 µm of forward and reverse primers in a final reaction volume of 20 µL. PCR amplification and real‐time analysis were performed using the DNA engine Opticon2 Continuous Fluorescence Detector (MJ Research Inc., Alameda, CA, USA). The cycling conditions were 95 °C for 4 min, followed by 40 cycles of 30 s at 94 °C, 30 s at 60 °C and 30 s at 72 °C. Melt curve analysis was used at the end of each reaction to check primer–dimer formation and gene‐specific product amplification. Data were analysed using Opticon Monitor™ analysis software v2.02 (MJ Research Inc.). Prior to expression analysis, amplification efficiencies of each primer set were calculated by standard curves using a dilution series of wheat cDNA. Only primer sets with an efficiency of more than 80% were used for qRT‐PCR analysis. Three reference genes, ubiquitin (Van Riet et al., 2006), glyceraldehyde‐3‐phosphate dehydrogenase (GAPDH) and elongation factor‐1α (McGrann et al., 2009), were used for normalization. geNorm analysis indicated that all three transcripts were stable under our experimental conditions, and was used to generate a normalization factor for each cDNA sample (geNorm program v3.5; http://medgen.ugent.be/~jvdesomp/genorm/; Vandesompele et al., 2002). The normalized expression of each gene of interest was calculated relative to the mock‐inoculated control after normalization factor correction of ΔCT. All primer sequences used in this study are given in Table S5 (see Supporting Information). The probe sets Ta.97.1.S1_at, Ta21556.1.S1_at and Ta.3133.1.S1_x_at are predicted to encode for WIR1 proteins. Primers were designed to specifically amplify each probe set.

Statistical analysis

The two P. striiformis f. sp. tritici inoculation experiments carried out for the histopathological and qRT‐PCR analyses were analysed independently. The histopathological examination was analysed using generalized linear mixed modelling (GLMM; Welham, 1993). A binomial distribution with a logit transformation was used to compare the proportion of infection sites relative to germinated urediniospores, the proportion of infection sites having formed infection hyphae and runner hyphae, the percentage of infection sites exhibiting 1° and 2° HCD and the percentage of infection sites with runner hyphae associated with plant HCD. The models fitted compared replicate, plant genotype, isolate and time point effects. Differences between isolates and time points significant at an F‐value probability P < 0.001 were further compared by t‐test analysis. qRT‐PCR relative transcript levels were compared using general linear regression. The model fitted compared replicate tests, plant genotypes, isolates and time points, and isolate–time point interactions. Differences between isolates and time points significant at an F‐value probability P < 0.01 were further compared by t‐test analysis. All analyses were carried out using the statistical package GenStat® for Windows, 9th Edition (GenStat Release 9 Committee, 2007).

Supporting information

Fig. S1 Quantitative reverse transcriptase‐polymerase chain reaction (qRT‐PCR) time‐course validation of additional transcripts identified by meta‐analysis.

Table S1 Details of microarray experiments used for meta‐analysis.

Table S2 Differentially transcribed probe sets identified specifically during the incompatible interaction of Puccinia striiformis f. sp. tritici race 232E137 with Avocet 6*/Yr1 as identified by the meta‐analysis.

Table S3 Differentially transcribed probe sets identified specifically during the compatible interaction of Puccinia striiformis f. sp. tritici race 169E136 with Avocet 6*/Yr1 as identified by the meta‐analysis.

Table S4 Probe sets differentially transcribed in both incompatible and compatible interactions of Puccinia striiformis f. sp. tritici, races 232E137 and 169E136, respectively, with Avocet 6*Yr1 as identified by the meta‐analysis.

Table S5 Quantitative reverse transcriptase‐polymerase chain reaction (qRT‐PCR) primers used in this study.

Please note: Wiley‐Blackwell are not responsible for the content or functionality of any supporting materials supplied by the authors. Any queries (other than missing material) should be directed to the corresponding author for the article.

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ACKNOWLEDGEMENTS

The authors are grateful for the research grants made available to MSA from the State Planning Organization of the Republic of Turkey (DPT2004K120750), International Centre for Genetic Engineering and Biotechnology (ICGEB‐CRP/TUR07‐03) and Middle East Technical University (METU) research funds. We also thank Grant Calder for help with confocal microscopy. MIAME/Plant‐compliant microarray data from this study have been deposited in PLEXdb (http://www.plexdb.org) with accession number TA25.

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Associated Data

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

Supplementary Materials

Fig. S1 Quantitative reverse transcriptase‐polymerase chain reaction (qRT‐PCR) time‐course validation of additional transcripts identified by meta‐analysis.

Table S1 Details of microarray experiments used for meta‐analysis.

Table S2 Differentially transcribed probe sets identified specifically during the incompatible interaction of Puccinia striiformis f. sp. tritici race 232E137 with Avocet 6*/Yr1 as identified by the meta‐analysis.

Table S3 Differentially transcribed probe sets identified specifically during the compatible interaction of Puccinia striiformis f. sp. tritici race 169E136 with Avocet 6*/Yr1 as identified by the meta‐analysis.

Table S4 Probe sets differentially transcribed in both incompatible and compatible interactions of Puccinia striiformis f. sp. tritici, races 232E137 and 169E136, respectively, with Avocet 6*Yr1 as identified by the meta‐analysis.

Table S5 Quantitative reverse transcriptase‐polymerase chain reaction (qRT‐PCR) primers used in this study.

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