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Wheat gene bank accessions as a source of new alleles of the powdery mildew resistance gene Pm3: a large scale allele mining project

Abstract

Background

In the last hundred years, the development of improved wheat cultivars has led to the replacement of landraces and traditional varieties by modern cultivars. This has resulted in a decline in the genetic diversity of agriculturally used wheat. However, the diversity lost in the elite material is somewhat preserved in crop gene banks. Therefore, the gene bank accessions provide the basis for genetic improvement of crops for specific traits and and represent rich sources of novel allelic variation.

Results

We have undertaken large scale molecular allele mining to isolate new alleles of the powdery mildew resistance gene Pm3 from wheat gene bank accessions. The search for new Pm3 alleles was carried out on a geographically diverse set of 733 wheat accessions originating from 20 countries. Pm3 specific molecular tools as well as classical pathogenicity tests were used to characterize the accessions. Two new functional Pm3 alleles were identified out of the eight newly cloned Pm3 sequences. These new resistance alleles were isolated from accessions from China and Nepal. Thus, the repertoire of functional Pm3 alleles now includes 17 genes, making it one of the largest allelic series of plant resistance genes. The combined information on resistant and susceptible Pm3 sequences will allow to study molecular function and specificity of functional Pm3 alleles.

Conclusions

This study demonstrates that molecular allele mining on geographically defined accessions is a useful strategy to rapidly characterize the diversity of gene bank accessions at a specific genetic locus of agronomical importance. The identified wheat accessions with new resistance specificities can be used for marker-assisted transfer of the Pm3 alleles to modern wheat lines.

Background

Enhancing productivity in a sustainable manner is essential for future agriculture. Genetic improvement of crop plants relies on the cultivation of genotypes that possess favourable alleles/genes controlling desirable agronomic traits [1]. In the past, both early domestication and the more recent modern plant breeding have resulted in severe genetic bottlenecks, reducing the levels of genetic diversity [2]. As most of the modern genotypes cultivated today have descended from a relatively small number of landraces, the genes controlling important traits have reduced diversity compared to the gene pool of landraces and wild relatives. This is likely to make the modern varieties more vulnerable to newly emerging strains of pathogens. For example, the recent emergence of Ug99 stem rust race is a potential threat to wheat production worldwide [3]. Race Ug99 is reported to possess a unique combination of virulences that renders over 90% of worlds' wheat cultivars and breeding materials susceptible to it [3]. In view of such threats of constant genetic erosion, gene banks have been established and maintained in order to mainly preserve wild plant accessions as well as landraces [1]. Thus, gene bank collections represent very rich stocks of plant genetic diversity and can contribute significantly to the future genetic improvement of crops [4]. To use this valuable potential of genetic resources, allele mining has been suggested as an approach to identify allelic variation of relevant traits within the genetic resource collections [5, 6]. This approach is best utilized for agronomically important genes with known DNA sequence, which can then be used to develop appropriate molecular tools to find new alleles [5].

Wheat is an important food crop and its production is threatened by diseases caused mostly by fungal pathogens, including powdery mildew [7, 8]. Control of fungal diseases by chemicals is expensive and can have negative impacts on natural eco-systems whereas genetically based resistance offers efficient and ecologically sound control. Resistance breeding requires constant efforts to enrich the reservoir of resistance genes in wheat. More than 37 powdery mildew resistance genes have been characterized in wheat [9, 10]. However, Pm3 is the only wheat powdery mildew resistance gene that has been cloned to date and is now known to occur in 15 functional allelic forms (Pm3a to Pm3g, Pm3k to Pm3r) [6, 11–14]. The Pm3 gene is a distinct member of a large cluster of NBS-LRR genes on wheat chromosome 1A. The Pm3 alleles confer race-specific resistance to Blumeria graminis f.sp. tritici, the wheat powdery mildew fungus [11–13]. Eight of the 15 Pm3 alleles (Pm3k to Pm3r) have been recently identified [6, 14] with Pm3k being the only allele isolated from tetraploid wheat [14] while all the other 14 functional Pm3 alleles were isolated from hexaploid wheat [6]. The widespread susceptible allele Pm3CS, which represents the consensus sequence of all the different Pm3 resistance alleles, has been proposed to be the ancestor of the bread wheat Pm3 resistance alleles [12]. The Pm3 alleles and their flanking sequences were found to be highly conserved forming the specific Pm3 haplotype [11–13]. This conservation allowed the isolation of Pm3a to Pm3g [12, 13], characterized in classical breeding, as well as new alleles (Pm3k to Pm3r) which were not previously characterized by classical genetics [6, 14].

The cloning of Pm3l to Pm3r [6] has been the result of an allele mining study that led to a rapid isolation of these seven new functional alleles of Pm3. The choice of accessions for this study was made through focused identification of germplasm strategy (FIGS) [6, 15], where the eco-geographical data of powdery mildew resistant accessions was used as a reference dataset to formulate the working set of wheat landraces from environmentally similar collection sites to perform Pm3 allele mining. This formulated working set consisted mainly of accessions that originated from Turkey, Iran, Afghanistan, Pakistan and Armenia (96.2% of the total set screened) [6]. Thus, the accessions previously studied for Pm3 allelic diversity were obtained from a limited geographical region. The question remained if wheat lines originating from other regions of the world contain additional, new Pm3 alleles and how such new alleles would compare to the known molecular diversity. In order to further assess the diversity at the Pm3 locus in wheat accessions originating from geographically more diverse locations, here we established a set of 733 gene bank accessions. Thus, we have expanded the search for new Pm3 alleles in accessions representing 20 countries covering different continents of the world. This has led to isolation and cloning of new Pm3 alleles and has shed light on the molecular diversity among Pm3 alleles.

Results

Screening for powdery mildew resistant wheat accessions in gene bank material

A set of 733 wheat accessions was obtained from the gene bank of IPK, Gatersleben (Germany). These accessions were selected based on their origin from different geographical regions worldwide, complementing the earlier studied FIGS set of wheat lines which originated mostly from the Near and Middle East [6]. The 733 accessions originated from Asia, Africa, Europe, Australia and the Americas (Table 1). The entire set of these accessions was phenotypically characterized for resistance against wheat powdery mildew by screening with a set of six powdery mildew isolates. The choice of the isolates was based on their avirulence and virulence patterns to the known alleles of Pm3, Pm3a to Pm3g. This screening led to the identification of 154 accessions (21% of the total set) that were resistant or intermediately resistant to at least one of the six mildew isolates tested (Table 1).

Table 1 Summary of the selection procedure followed to isolate new Pm3 alleles.

PCR based characterization of Pm3in the resistant accessions

The 154 accessions with a resistant or intermediate resistant phenotype were subjected to molecular analysis for the Pm3 haplotype. First, they were screened for the presence of a Pm3-like gene with an STS marker obtained from haplotype studies at the Pm3 locus [11, 13]. This STS marker amplifies a 946 bp fragment from the 5' non-coding region of Pm3b and is diagnostic for the presence of a Pm3-like gene. A total of 109 accessions out of 154 (70%) were identified with a likely presence of a Pm3 gene (Table 1). Subsequently, the accessions showing the presence of a Pm3-like gene were screened for the presence of the already known Pm3 alleles, Pm3a to Pm3g, with allele specific molecular markers developed previously [16]. Twenty-eight of these accessions were found to carry a known Pm3 resistance allele. Pm3c was the most frequently detected allele in this set (found in 17 accessions), followed by Pm3b in six accessions while Pm3f, Pm3e and Pm3d were detected in two, two and one accessions each, respectively. This demonstrated that the alleles of Pm3 in most of the tested accessions are not Pm3a to Pm3g resistance alleles and therefore, these accessions are good candidates for isolation of new Pm3 alleles. However, these accessions were not screened for the presence of Pm3k to Pm3r, alleles for which functional molecular markers have not yet been developed. Additionally, it cannot be ruled out that the observed resistance is caused by any of the known or still uncharacterized resistance genes present in the germplasm other than Pm3.

Isolation of Pm3sequences from the candidate accessions

The phenotypic and genotypic experiments described above allowed us to establish a collection of 51 candidate lines with a resistant phenotype (the intermediate resistant lines were not considered further) to specifically target for isolation of new alleles of the Pm3 gene (Table 1). These candidate lines were completely resistant to at least one of the isolates tested, were identified to possess a Pm3-like gene and lacked the known Pm3 alleles Pm3a to Pm3g. The Pm3 coding sequences were successfully amplified from 41 accessions, cloned and sequenced. In the remaining 10 accessions, amplification of a Pm3 sequence was not possible which might be due to absence of a coding gene or low sequence homology at the primer binding sites. Among the 41 amplified sequences, eight were identical to the susceptible Pm3CS [12], indicating that the observed resistance is not due to a Pm3 gene but is caused by other known or still uncharacterized Pm genes. Eighteen of these total 41 sequences were identical to the previously reported susceptible Pm3Go/Jho sequence identified from landraces of Bhutan [12]. Here, the Pm3Go/Jho allele was identified in accessions originating from India (4), Nepal (13) and China (1).

The analysis of sequence diversity in the cloned genes led to the identification of eight new Pm3 allelic sequences, as several accessions possessed identical alleles (Figure 1 and Table 2). Four of these new Pm3 sequences (Pm3_11150, Pm3_2616, Pm3_2816, Pm3_3220) were isolated from six accessions that originated in Nepal. Three other Pm3 alleles were isolated from accessions from Ethiopia (Pm3_15011), China (Pm3_4650) and Argentina (Pm3_7524), respectively (Table 2). Pm3_8152 was isolated from accessions with five very different origins i.e., Sudan, Argentina, Ethiopia, Mexico and Iraq (Table 2).

Table 2 List and geographic origin of wheat accessions from which the eight new Pm3 sequences were isolated.
Figure 1
figure 1

Schematic representation of the sequence alignment (exons) of the newly identified Pm3 alleles. This comparison includes the previously described Pm3 alleles Pm3a, Pm3m and Pm3CS. Pm3CS was the consensus as well as the reference sequence. The domains encoded by Pm3 alleles are depicted at the top [CC (yellow), NBS (red), Interspacer region between NBS and LRR (grey) and 28 LRRs (blue boxes)]. Red bars in the Pm3 alleles indicate the polymorphic nucleotides as compared to Pm3CS leading to non-synonymous changes in the protein. Black bars represent the polymorphic nucleotides leading to synonymous mutations. Boxes A, B, C, D, E and F indicate polymorphic sequence blocks identified in the respective alleles. The functional resistance alleles, Pm3_4650 and Pm3_2816 are labelled in blue.

Newly isolated Pm3 alleles show overall high similarity to known Pm3alleles

The eight new Pm3 alleles were compared to the 15 functional alleles of Pm3 as well as Pm3CS, the susceptible ancestral sequence [12]. In addition, 32 unique Pm3 sequences that have been previously isolated both from tetraploid (22 sequences: EU192106-25, EU192127-28,) and hexaploid wheat (10 sequences: FJ212300, FJ212303-07, FJ212309, FJ212314-15 and GU230852) were included in the comparisons [6, 14]. None of these 32 alleles was found to impart resistance against the tested isolates [6, 12, 14].

The DNA sequence comparison of the eight new Pm3 sequences to the already known Pm3 alleles showed an overall high similarity. The Pm3CS sequence was used as a reference sequence in the alignment (Figure 1). The new Pm3 sequences also consist of two exons separated by an intron of 200 bp and encode resistance proteins with a very similar overall amino acid sequence. Six of the eight newly isolated Pm3 sequences are 4442 bp long (Pm3_11150, Pm3_15011, Pm3_2616, Pm3_2816, Pm3_7524, Pm3_8152), the length corresponding to that of Pm3CS. The Pm3_4650 sequence is 4445 bp long due to the presence of a 3 bp insertion in the region encoding LRR-1 of the gene. Pm3_3220 consisted of 4140 nucleotides and was the smallest sequence in length as it possesses a deletion spanning the last part of exon 1 and the beginning of the predicted intron. Thus, it was not possible to assign exons and intron to this sequence and it possibly represents a pseudogene. The deletion found in Pm3_3220 is identical to the one identified in the previously reported pseudogene FJ212315 [6].

The coiled coil (CC) encoding region of the new Pm3 sequences is completely conserved. The NBS encoding region is conserved among the new Pm3 alleles with the exception of two sequences (Pm3_4650, Pm3_15011). Pm3_4650 bears three polymorphic bases in the NBS-encoding region which are shared with Pm3a and Pm3b, while Pm3_15011 possesses two polymorphic bases unique to its sequence in this region. The interspacer region separating the NBS and the LRR encoding domains was also found to be conserved, except for Pm3_4650 and Pm3_15011 that possess a highly polymorphic sequence block (part of Block A, Figure 1) and a single SNP respectively, in this region. Major sequence polymorphisms between the new sequences and the Pm3CS consensus sequence were observed in the LRR-encoding region of the gene. These polymorphisms in the LRR region were either in the form of highly polymorphic sequence blocks or in the form of few SNPs per sequence. Pm3_2616 and Pm3_2816 differ from Pm3CS only by two and three SNPs, respectively, in the LRR encoding region (Figure 1). Six of the eight new sequences (Pm3_4650, Pm3_11150, Pm3_8152, Pm3_7524 Pm3_15011 and Pm3_3220) possess polymorphic sequence blocks in the LRR encoding region (part of block A and blocks B, C, D, E and F, Figure 1) in addition to the SNPs.

The polymorphic sequence block found in Pm3_4650 (Block A, Figure 1) is identical to the one present in Pm3m and Pm3r (Figure S1) and spans the interspacer region and the LRR-1 encoding region. In case of Pm3_7524, Pm3_11150, Pm3_15011 and Pm3_8152, the polymorphic sequence blocks are only partially shared with other previously reported alleles. The block in Pm3_7524 (Block B, Figure 1) consists of a total eleven nucleotide polymorphisms out of which seven are shared with Pm3c. Thus, Pm3_7524 appears to be a chimera of Pm3CS and Pm3c (Figure 2a). The Pm3_11150 sequence shares polymorphic residues with Pm3o (Figure 2b) at five out of eight polymorphic sites building the block in Pm3_11150 (Block C, Figure 1). The Pm3_15011 sequence showed high similarity with the tetraploid alleles in terms of polymorphic residues (Figure S1), especially for the presence of highly polymorphic sequence block (ranging over LRR 19 to LRR 25 of the gene (Block D, Figure 1), typically found in tetraploid alleles. In addition, Pm3_8152 shared 10 randomly distributed polymorphic sites out of a total of 20 sites building the block in Pm3_8152, with the tetraploid Pm3 sequences between the nucleotide positions 3450 and 3700 (Figure 2c, Figure S1). Pm3_15011 and Pm3_8152 were the only two sequences found to share polymorphic sites with the Pm3 alleles isolated from tetraploid wheat.

Figure 2
figure 2

Sequence alignment of the partially shared polymorphic nucleotide blocks among different Pm3 alleles. (a) Alignment of block present in Pm3_7524 with Pm3c and Pm3CS (b) Alignment of the block present in Pm3_11150 with Pm3o and Pm3CS (c) Alignment of block present in Pm3_8152 with EU192124 (a Pm3 sequence, representative of tetraploid Pm3 alleles) and Pm3CS (d) Alignment of block present in Pm3_4650 with Pm3CS and orthologous sequence TdRGL-2. Pm3CS sequence was used as a reference sequence in all the alignments and the polymorphic nucleotides in the compared alleles are marked by pink background. Dots represent sequence identity to Pm3CS at the particular site. The solid line marks the triplet corresponding to the open reading frame and the numbers at the top indicate the nucleotide position in Pm3CS.

Pm3sequence diversity

The nucleotide diversity was analyzed for the coding sequence of 54 Pm3 sequences that have been isolated so far [present study, [6, 11–14]], excluding the two pseudogene sequences (Pm3_3220 and FJ212315) while including Pm3CS and Pm3Go/Jho. Nucleotide diversity and ratio of non-synonymous to synonymous changes were calculated for the Pm3 alleles isolated from hexaploid and tetraploid wheat, for each group separately as well as together. In addition, the sequence diversity was studied specifically for the coding sequences of the distinct Pm3 protein domains (CC domain, NBS domain, interspacer and LRR domain, Table 3). The nucleotide diversity was found to be higher in the interspacer and LRR regions for Pm3 alleles isolated from both hexaploid and tetraploid wheat, compared to the diversity found in the CC and NBS domains (Table 3). In the LRR and interspacer regions, polymorphic sequence blocks of various sizes were found between the analysed Pm3 variants (Figure 1 and Figure S1), contributing to high values of nucleotide diversity. The highest number of non-synonymous changes were found in the LRR encoding domain, resulting in a higher value for the ratio of Ka/Ks in this region (Ka/Ks for LRR = 3.34, Table 3).

Table 3 Nucleotide diversity analysis and Ka/Ks ratios for the Pm3 alleles.

The average number of nucleotide differences per 100 bp was highest in the interspacer coding region. However, this high value originates from the presence of polymorphic sequence blocks in some of the hexaploid (Pm3_4650, Pm3a, Pm3b, Pm3f, Pm3m and Pm3r) and tetraploid (EU192116, EU192117) Pm3 alleles in this particular region. Comparatively low values of nucleotide diversity and Ka/Ks ratio were obtained for the CC and NBS region coding regions. This is due to very few polymorphisms found in these regions.

Sequence exchange with Pm3homologs

The entire set of 54 Pm3 sequences (excluding 2 pseudogenes) was compared to five Pm3-homologous RGAs [17] sequenced from orthologous regions of three wheat species, i.e., T. monococcum (TmRGL-1), T. turgidum (TdRGL-1, TdRGL-2, TdRGL-3) and T. aestivum (TaRGL-9). These are most likely paralogous genes belonging to a large cluster. These Pm3-like RGAs were found be very polymorphic (83.4% to 88.3% identical) as compared to the Pm3 alleles (>97% of sequence identity), when aligned with Pm3CS as a reference sequence. There were no obvious sequence blocks in the Pm3 alleles that would have been derived from these Pm3-like RGAs, except for block A (Figure 1, also mentioned above). Block A spans the interspacer and the LRR-1 encoding regions and is found specifically in Pm3_4650, Pm3m and Pm3r. It shares 38 out of 43 polymorphic residues with TdRGL-2 from T. turgidum (Figure 2d). The remaining five polymorphic sites at which block A and TdRGL-2 sequence were not identical are spread randomly over the length of the block. The presence of block A in alleles isolated from hexaploid wheat as well as in TdRGL-2 from T. turgidum indicates sequence exchange between the specific Pm3 allele and a paralogous RGA from the cluster.

Functional validation of candidate Pm3alleles through transient transformation

The eight new Pm3 sequences identified in this study were tested for function in a transient transformation assay [18]. Transient transformation has previously been found to be an effective method to study powdery mildew resistance gene function in wheat [6, 11, 13, 14]. The non-functional Pm3CS allele [12] was used as a control and it gave a high haustorium index (67.6 to 77.8% of susceptible interactions). In contrast, the two new alleles i.e., Pm3_4650 and Pm3_ 2816 showed a significant reduction in the haustorium index (Figure 3), with 18.7% and 54.5% average values, respectively. Transformation with the remaining six Pm3 allelic sequences (Pm3_11150, Pm3_8152, Pm3_15011, Pm3_2616, Pm3_7524, and Pm3_3220) did not result in a reduction of the haustorium index (Figure 3). To test race specific gene function of the two new alleles showing reduction in haustorium index (Pm3_4650 and Pm3_ 2816), they were also tested against the powdery mildew isolate Bgt 97028 found to be virulent on accessions carrying these genes. In this case, no reduction of haustorium indices was observed compared to Pm3CS (Figure 3), demonstrating that the observed resistance activity is due to race-specificity of gene action. In conclusion, the alleles Pm3_4650 and Pm3_ 2816 are new, functionally active forms of Pm3 which are now called Pm3s and Pm3t, respectively. The alleles Pm3s (Pm3_4650) and Pm3t (Pm3_ 2816) were isolated from accessions that originated from China and Nepal, respectively. The repertoire of functional Pm3 alleles now includes 17 genes, making it one of the largest allelic series of plant resistance genes.

Figure 3
figure 3

Haustorium indices for the new Pm3 alleles tested in the transient transformation assay. The eight newly identified Pm3 candidate alleles (bars with slanting lines) were tested with the avirulent Bgt isolate 98275, in comparison to the susceptible control Pm3CS (dark grey bars). The haustorium index (percentage of cells with haustoria) is indicated by the mean ± SD of three independent experiments, each contributing at least 50 interactions. ** Significant differences at p = 0.01; *** significant differences at p = 0.001, are also indicated. Transient assay results for the two functional alleles Pm3_4650 and Pm3_2816 in comparison to Pm3CS upon infection with the virulent isolate 97028 are presented by light grey bars in the graph.

Discussion

Gene bank accessions as source of genetic diversity for the Pm3gene

Genetic diversity is highly relevant for improvement of crop traits by breeding. The widespread use of genetically uniform varieties provides an ideal genetic environment for disease epidemics; for example, the devastating 1970 epidemic of corn leaf blight caused by the fungal pathogen Bipolaris maydis happened due to widespread deployment of genetically uniform varieties [4]. Crop genetic resources harbour a treasure of undiscovered allelic variants and thus provide an opportunity for genetic improvement of cultivated species. In the past, a large number of agronomically important genes, including disease resistance genes, were introgressed from wild relatives and landraces into the cultivated species. For example, the two very important wheat genes Rht1 and Rht2 providing the foundation for green revolution were introgressed from cultivar 'Norin10' that originally inherited these genes from Japanese landrace "Shiro Daruma" [4].

Previously, the approach to utilize gene bank accessions was mostly restricted to phenotyping for a particular trait and then introducing it to elite cultivars through repeated back-crossing. More recently, new approaches based on molecular analysis have emerged as a promising alternative. These approaches include linkage mapping analysis [2, 19], association mapping [20–22] and allele mining [6]. Recently, seven new functional alleles of powdery mildew resistance gene Pm3 (Pm3l to Pm3r) have been isolated from hexaploid wheat landraces following the allele mining approach [6]. The focused identification of germplasm strategy used in this study has been successful in identifying new sources of powdery mildew resistance. However, the source of germplasm in this set was somewhat limited and the diversity of Pm3 alleles remained unassessed in accessions that originated from countries other than the ones selected through FIGS. In this study here, we have isolated new Pm3 alleles from Nepal, Ethiopia, China, Argentina, Sudan, Mexico and Iran. The newly identified functional Pm3 alleles in the present study, Pm3s and Pm3t, originated from China and Nepal respectively. This demonstrates that functional Pm3 genetic diversity, i.e. new resistance genes, has not been exhausted yet and Asian germplasm accessions are candidates to further screen for unique powdery mildew resistance sources. These new findings will also be useful in an iterative process to further refine the FIGS selection process by taking the data of newly identified resistant accessions into consideration, when searching for more variation in powdery mildew resistance.

Pm3, a gene with a large number of functional alleles

Pm3 is one of the few plant resistance genes with a high number of known functional alleles. For the Mla locus of barley, more than 30 race-specific resistance alleles have been described [23–25]. The sequence comparison of six isolated Mla resistance alleles (Mla1, Mla6, Mla7, Mla10, Mla12 and Mla13) revealed 90% sequence identity which led to the hypothesis that the Mla powdery mildew resistance specificities represent allelic variants [23, 24, 26–28]. This hypothesis was further supported by a recent study, where 23 additional candidate Mla cDNAs have been isolated and they also represented allelic variants of the previously described Mla resistance alleles [25]. Forty-seven alleles of the RPP13 gene of A. thaliana controlling resistance to downy mildew have been isolated in two studies (24 and 23 alleles each), where most of the accessions were collected from natural populations of A. thaliana across the United Kingdom [29, 30]. The flax rust resistance locus L is another example of a plant resistance gene with a large number of alleles and has been described to occur in 13 functional forms [31]. The two functional Pm3 alleles reported in this study (Pm3s and Pm3t) further extend the previously known Pm3 allelic series (Pm3a to Pm3g, Pm3k to Pm3r) [6, 12–14]. In addition to the 17 functional alleles, several Pm3 alleles were isolated [present work, [6, 14]] from hexaploid (16 sequences) and tetraploid wheat accessions (22 sequences), for which no function as resistance genes could be assigned. Thus, a total of 56 naturally occurring Pm3 sequences are now known, including the susceptible ancestral sequence Pm3CS (found in both tetraploid and hexaploid wheat species).

Pm3allelic diversity: a molecular insight

The overall nucleotide diversity for all the Pm3 sequences was calculated to be lower (π = 0.01) than that described for other allelic series of plant resistance genes, for example, the RPP13 alleles (π = 0.045) in A. thaliana, the Mla powdery mildew resistance alleles (π = 0.043) in barley and L alleles (π = 0.033) conferring rust resistance in flax [23, 25, 29, 31]. These data support the hypothesis of a recent divergence for Pm3 alleles, as previously proposed [12]. Most of the sequence polymorphisms were found in the LRR domain. The high non-synonymous to synonymous nucleotide divergence value calculated for the LRR domain (Ka/Ks = 3.34) indicates a strong diversifying selection acting on this part of the gene. This data support a major role of the LRR domain in recognition specificity for Pm3-mediated resistance in wheat. This corresponds well to other studies where sequence variability in resistance genes or alleles was mostly found in the LRR encoding regions [31, 32] and diversifying selection was detected in solvent exposed residues [33]. The LRR encoding domain of the barley Mla gene was also found to exhibit highest nucleotide diversity with a π value of 0.074 [25].

The Pm3 sequences differed mostly by point mutations and/or polymorphic sequence blocks that were further reshuffled between alleles. For example, the newly isolated allele Pm3_4650 (this work) possesses a sequence polymorphic block (block A) identical to that present in Pm3m and Pm3r [6]. Pm3_7524 and Pm3_11150 (this work) share sequence identity within the polymorphic block with Pm3c and Pm3o, respectively, however only partially. Previously, it has been shown that Pm3r shares such a polymorphic sequence block with Pm3a while Pm3o shared another unique polymorphic block with FJ212300, FJ212307 and FJ212308 [6]. Pm3l, Pm3p, Pm3q and FJ212314 shared polymorphic blocks among each other, either completely or partially [6]. These polymorphic sequence blocks possibly derive from gene conversion and/or recombination events among different Pm3 alleles. Sequence exchange by gene conversion and recombination has been reported to be one of the major mechanisms of resistance gene evolution [34, 35]. It is also likely to be a main mechanism of Pm3 evolution in tetraploid and hexaploid wheat.

Interestingly, the Pm3 alleles from hexaploid and tetraploid wheat form two distinct groups specifically with regard to polymorphic sequence blocks unique to their respective ploidy levels. This was evident from the presence of a single large polymorphic sequence block covering LRR19 to LRR25 [14], typically found in Pm3 sequences isolated from tetraploid wheat accessions (found in 16 out of 23 tetraploid Pm3 sequences), with the rest of polymorphisms mostly in the form of SNPs (see Additional file 1). The remaining seven tetraploid Pm3 sequences (out of 23) either partially shared this block (EU192198), had an entirely different sequence polymorphism pattern (Pm3k, EU192119) or did not have the block but only a few SNPs (EU192121, EU192122, EU192123, EU192127) in comparison to Pm3CS. The Pm3 alleles isolated from hexaploid wheat accessions did not possess this particular polymorphic sequence block, except for Pm3_15011 and Pm3_8152 that completely or partially shared it. Different hexaploid Pm3 alleles possessed several small polymorphic blocks scattered over the length of the gene (with a majority in the LRR encoding region), in contrast to one large and evident block in tetraploid alleles.

Some of the Pm3 sequences appear to have originated due to insertion and deletion events, in addition to the point mutations and gene conversion [this work, [6, 11–13]]. For example, Pm3_4650, Pm3a, Pm3b, Pm3f, Pm3m and Pm3r bear a single 3bp insertion in comparison to Pm3CS in the LRR-1 encoding region of the gene, and in addition to this, Pm3a and Pm3b bear another triplet insertion in the NBS encoding part of the gene. Pm3l, FJ212303 and FJ212314 possess 45 bp deletions in the LRR encoding region, while FJ212305 lack 3bp in the NBS encoding region of the gene. These InDel mutations do not compromise the full-length open reading frames, except for the two pseudogenes FJ212315 and Pm3_3220. The Mla specificities, Mla1, Mla6 and Mla13 were also shown to possess insertions or deletions that mostly occurred in multiples of three nucleotides [36]. It was also suggested previously that Pm3 recognition specificities can be generated rapidly by few mutational events in the Pm3CS sequence [12]. This was evident with the isolation of functional Pm3 alleles that differ from Pm3CS by a few nucleotides. The new allele Pm3_2816 differs by three nucleotides from the Pm3CS sequence.

Conclusions

Strategies that have been undertaken to approach genetic resources in order to identify new agronomically important genes include random selection based on geographical origin of accessions, core collections and focused identification of germplasm strategy (FIGS). In different independent studies, these strategies have yielded new alleles/genes of high importance. However, efforts are still required to further improve these strategies so as they can potentially reduce phenotypic or genotypic screening but allow effective output. The wild accessions and landraces available in the gene banks evolved under a variety of edaphic and climatic environments and this might have resulted in evolution of ecotypes adapted to specific local environments. Therefore, the choice for subset of accessions which is economically feasible to screen can be based on previous successful reports. For example, in the particular case of Pm3 alleles, the previously unknown functional alleles have been isolated from accessions with their origin in Turkey, Afghanistan, Turkmenistan, China and Nepal [this work, [6]] out of over 30 countries tested. Therefore, it seems a promising approach to identify more powdery mildew resistance sources specifically from accessions originating from these countries and future projects could be focused on such origins.

The new functional alleles isolated in this project can now be transferred to susceptible but economically important wheat varieties as single genes or R-gene cassettes. Besides this more applied aspects in wheat breeding, the now available 56 natural genetic variants of the Pm3 gene isolated from accessions from all over the world provide a unique experimental set to explore and understand the molecular basis of the allelic specificity of resistance genes. The high conservation of sequence among Pm3 alleles showing resistance against different spectra of pathogen races indicate that the Pm3 specific resistance function must be determined by a relatively small number of nucleotides that are polymorphic among these alleles.

Methods

Seed material

The set of 733 wheat gene bank accessions used in the study was obtained from Dr. Andreas Börner and Dr. Andreas Graner, Leibniz Institute of Plant Genetics and Crop Plant Research IPK, Gatersleben, Germany. The accessions of this set were chosen on the basis of their geographical origin and were from India (92 accessions), China (90 accessions), Nepal (78 accessions), Ethiopia (63 accessions), Mexico (57 accessions), USA (53 accessions), France (51 accessions), Japan (51 accessions), Russia (38 accessions), Argentina (31 accessions), Iraq (27 accessions), Canada (25 accessions), Australia (23 accessions), Tajikistan (16 accessions), Kazakhastan (nine accessions), Azerbaijan (seven accessions), Sudan (seven accessions), Switzerland (seven accessions), Kyrgystan (six accessions) and Uzbekistan (two accessions).

Phenotypic characterisation of the wheat accessions and powdery mildew isolates

In order to select accessions resistant to powdery mildew, detached leaf segments from seven day old plants were placed on phytagar media and were subjected to infection with powdery mildew isolates. The six powdery mildew isolates used in the study Bgt 98275, Bgt Syros 2000.15, Bgt 96224, Bgt 97011, Bgt 96229 and Bgt DB-Asosan were selected on the basis of their virulence and avirulence reactions [6] on the lines carrying Pm3 alleles, Pm3a to Pm3g. The mildew isolates were maintained on wheat cv. Kanzler with weekly transfer to fresh plants/leaf segments. The isolates used in the study were obtained either from the former mildew collections of Agroscope Reckenholz-Tänikon (ART), Zürich, Switzerland, Institut National de Recherche Agronomique INRA, Rennes, France or our own powdery mildew collection at University of Zürich, Switzerland. The scoring was done 9-10 days after infection [5]. The phenotypes were classified into three categories: resistant (R), intermediate [(I) with two further categories: Intermediate resistant (IR) and intermediate susceptible (IS)] and susceptible lines (S).

Isolation of new Pm3alleles

Alleles were amplified by using Pm3-locus specific, long range PCR amplification followed by a nested long range PCR. PCR primers were based on the upstream and downstream sequence of the coding region of the Pm3b allele. PCR amplification of the Pm3 alleles was carried out with the Herculase-II fusion high-fidelity DNA polymerase. Amplified fragments were cloned into the multiple cloning site of expression vector PGY1 [18] between a 540 bp fragment of the 35SCaMV promoter and the 35SCaMV terminator. DNA sequencing was performed with an Applied Biosystems Capillary Sequencer model 3730. The obtained sequences were confirmed by independent amplification and sequencing.

Sequence analysis

Sequence assembly was performed using the Gap4 program of the Staden Package http://staden.sourceforge.net/. The ClustalX software [37] was used for sequence alignments which were further analysed in the program Genedoc http://www.nrbsc.org/gfx/genedoc/index.html. For sequence diversity analysis, multiple sequence alignments were performed with CLUSTALW [38] using default gap creation and gap extension penalty. Nucleotide diversity and Ka/Ks ratios were calculated with program DnaSP http://www.ub.es/dnasp.

Single cell transient transformation assay and microscopy

The transient gene expression assay [6, 11, 12, 18] is based on transformation of single leaf epidermal cells, followed by subsequent inoculation of transformed leaves with specific powdery mildew isolates. Biolistic bombardment was performed as described in Yahiaoui et al [12]. Leaves of the powdery mildew susceptible line Chancellor were bombarded with a 1:1 (wt/wt) mixture of pUbiGUS containing the GUS reporter and the PGY1 vector containing the Pm3CS gene or the newly isolated Pm3 alleles. Leaf segments were infected with appropriate powdery mildew isolate, four hours after the bombardment. All the eight new Pm3 sequences were tested against avirulent isolate Bgt 98275 and the two functional Pm3 alleles (Pm3_4650 and Pm3_2816) were also tested against virulent isolate 97028. Staining for GUS activity was carried out 44 hours post inoculation. After 18 hours of GUS staining, the fungal structures were subsequently stained with Coomassie blue. GUS expressing epidermal cells attacked by a single germinating spore were evaluated by transmission light microscopy. A susceptible interaction was characterized by a mature haustorium and elongating secondary hyphae whereas a resistant interaction was characterized by the presence of an appressorium. At least three independent experiments were carried out, each time counting at least 50 interactions.

Accession numbers

Pm3_7524: GU230853, Pm3_4650: GU230854, Pm3_2616: GU230855, Pm3_15011: GU230856, Pm3_2816: GU230857, Pm3_11150: GU230858, Pm3_8152: GU230859, Pm3_3220: GU230860, Pm3Go/Jho: GU230852

Abbreviations

SNPs:

Single nucleotide polymorphisms

CC:

coiled coil

NBS:

Nucleotide binding site

LRR:

Leucine rich repeats, InDels: Insertions and deletions

References

  1. Prada D: Molecular population genetics and agronomic alleles in seed banks: searching for a needle in a haystack?. J Exp Bot. 2009, 60: 2541-2552. 10.1093/jxb/erp130.

    Article  PubMed  CAS  Google Scholar 

  2. Tanksley SD, McCouch SR: Seed banks and molecular maps: Unlocking genetic potential from the wild. Science. 1997, 277: 1063-1066. 10.1126/science.277.5329.1063.

    Article  PubMed  CAS  Google Scholar 

  3. Singh RP, Huerta-Espino JH, Jin Y, Herrera-Foessel S, Njau P, Wanyera R, Ward RW: Current resistance sources and breeding strategies to mitigate Ug99 threat. In proceedings of the 11th International Wheat Genetics Symposium: 25-29 August 2008; Brisbane, Australia. Edited by: Appels R, Eastwood R, Lagudah E, Langridge P, Mackay M. 2008, 7-9.

    Google Scholar 

  4. Hoisington D, Khairallah M, Reeves T, Ribaut J, Skovmand B, Taba S, Warburton M: Plant genetic resources: What can they contribute toward increased crop productivity?. Proc Natl Acad Sci USA. 1999, 96: 5937-5943. 10.1073/pnas.96.11.5937.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  5. Kaur N, Street K, Mackay M, Yahiaoui N, Keller B: Molecular approaches for characterization and use of natural disease resistance in wheat. Eur J Plant Pathol. 2008, 121: 387-397. 10.1007/s10658-007-9252-3.

    Article  CAS  Google Scholar 

  6. Bhullar NK, Street K, Mackay M, Yahiaoui N, Keller B: Unlocking wheat genetic resources for the molecular identification of previously undescribed functional alleles at the Pm3 resistance locus. Proc Natl Acad Sci. 2009, 106: 9519-9524. 10.1073/pnas.0904152106.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  7. Lillemo M, Singh RP, van Ginkel M: Identification of stable resistance to powdery mildew in wheat based on parametric and nonparametric methods. Crop Sci. 2010, 50: 478-485. 10.2135/cropsci2009.03.0116.

    Article  Google Scholar 

  8. Chen Y, Hunger RM, Carver BF, Zhang H, Yan L: Genetic characterization of powdery mildew resistance in U.S. hard winter wheat. Mol Breeding. 2009, 24: 141-152. 10.1007/s11032-009-9279-6.

    Article  Google Scholar 

  9. Blanco A, Gadaleta A, Cenci A, Carluccio AV, Abdelbacki AM, Simeone R: Molecular mapping of the novel powdery mildew resistance gene Pm36 introgressed from Triticum turgidum var. dicoccoides in durum wheat. Theor Appl Genet. 2008, 117: 135-42. 10.1007/s00122-008-0760-0.

    Article  PubMed  CAS  Google Scholar 

  10. Perugini LD, Murphy JP, Marshal D, Brown-Guedira G: Pm37, a new broadly effective powdery mildew resistance gene from Triticum timopheevii. Theor Appl Genet. 2008, 116: 417-425. 10.1007/s00122-007-0679-x.

    Article  PubMed  CAS  Google Scholar 

  11. Yahiaoui N, Srichumpa P, Dudler R, Keller B: Genome analysis at different ploidy levels allows cloning of the powdery mildew resistance gene Pm3b from hexaploid wheat. Plant J. 2004, 37: 528-538. 10.1046/j.1365-313X.2003.01977.x.

    Article  PubMed  CAS  Google Scholar 

  12. Yahiaoui N, Brunner S, Keller B: Rapid generation of new powdery mildew resistance genes after wheat domestication. Plant J. 2006, 47: 85-98. 10.1111/j.1365-313X.2006.02772.x.

    Article  PubMed  CAS  Google Scholar 

  13. Srichumpa P, Brunner S, Keller B, Yahiaoui N: Allelic series of four powdery mildew resistance genes at the Pm3 locus in hexaploid bread wheat. Plant Physiol. 2005, 139: 885-895. 10.1104/pp.105.062406.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  14. Yahiaoui N, Kaur N, Keller B: Independent evolution of functional Pm3 resistance genes in wild tetraploid wheat and domesticated bread wheat. Plant J. 2009, 57: 846-856. 10.1111/j.1365-313X.2008.03731.x.

    Article  PubMed  CAS  Google Scholar 

  15. Street K, Mackay M, Zuev E, Kaur N, El Bouhssini M, Konopka J, Mitrofanova O: Diving into the genepool: a rational system to access specific traits from large germplasm collections. In proceedings of the 11th International Wheat Genetics Symposium: 25-29 August 2008; Brisbane, Australia. Edited by: Appels R, Eastwood R, Lagudah E, Langridge P, Mackay M. 2008, 28-31.

    Google Scholar 

  16. Tommasini L, Yahiaoui N, Srichumpa P, Keller B: Development of functional markers specific for seven Pm3 resistance alleles and their validation in the bread wheat gene pool. Theor Appl Genet. 2006, 114: 165-175. 10.1007/s00122-006-0420-1.

    Article  PubMed  CAS  Google Scholar 

  17. Wicker T, Yahiaoui N, Keller B: Contrasting rates of evolution in Pm3 loci from three wheat species and rice. Genetics. 2007, 177: 1207-1216. 10.1534/genetics.107.077354.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  18. Schweizer P, Christoffel A, Dudler R: Transient expression of members of the germin-like gene family in epidermal cells of wheat confers disease resistance. Plant J. 1999, 20: 541-552. 10.1046/j.1365-313X.1999.00624.x.

    Article  PubMed  CAS  Google Scholar 

  19. Grandillo S, Ku HM, Tanksley SD: Identifying the loci responsible for natural variation in fruit size and shape in tomato. Theor Appl Genet. 1999, 99: 978-987. 10.1007/s001220051405.

    Article  CAS  Google Scholar 

  20. Zhu C, Gore M, Buckler ES, Yu J: Status and prospects of association mapping in plants. Plant Genome. 2008, 1: 5-20. 10.3835/plantgenome2008.02.0089.

    Article  CAS  Google Scholar 

  21. Palaisa K, Morgante M, Tingey S, Rafalski A: Long-range patterns of diversity and linkage disequilibrium surrounding the maize Y1 gene are indicative of an asymmetric selective sweep. Proc Natl Acad Sci USA. 2004, 101: 9885-9890. 10.1073/pnas.0307839101.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  22. Camus-Kulandaivelu L, Veyrieras J-B, Madur D, Combes V, Fourmann M, Barraud S, Dubreuil P, Gouesnard B, Manicacci D, Charcosset A: Maize adaptation to temperate climate: relationship between population structure and polymorphism in the Dwarf8 gene. Genetics. 2006, 172: 2449-2463. 10.1534/genetics.105.048603.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  23. Shen QH, Zhou F, Bieri S, Haizel T, Shirasu K, Schulze-Lefert P: Recognition specificity and RAR1/SGT1 dependence in barley Mla disease resistance genes to the powdery mildew fungus. Plant Cell. 2003, 15: 732-744. 10.1105/tpc.009258.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  24. Halterman DA, Wise RP: A single-amino acid substitution in the sixth leucine-rich repeat of barley MLA6 and MLA13 alleviates dependence on RAR1 for disease resistance signaling. Plant J. 2004, 38: 215-226. 10.1111/j.1365-313X.2004.02032.x.

    Article  PubMed  CAS  Google Scholar 

  25. Seeholzer S, Tsuchimatsu T, Jordan T, Bieri S, Pajonk S, Yang W, Jahoor A, Shimizu KK, Keller B, Schulze-Lefert P: Diversity at the Mla powdery mildew resistance locus from cultivated barley reveals sites of positive selection. Mol Plant Microbe Interact. 2010, 23: 497-509. 10.1094/MPMI-23-4-0497.

    Article  PubMed  CAS  Google Scholar 

  26. Halterman D, Zhou FS, Wei FS, Wise RP, Schulze-Lefert P: The MLA6 coiled-coil, NBS-LRR protein confers AvrMla6-dependent resistance specificity to Blumeria graminis f. sp. hordei in barley and wheat. Plant J. 2001, 25: 335-348. 10.1046/j.1365-313x.2001.00982.x.

    Article  PubMed  CAS  Google Scholar 

  27. Zhou FS, Kurth JC, Wei FS, Elliott C, Vale G, Yahiaoui N, Keller B, Somerville S, Wise R, Schulze-Lefert P: Cell-autonomous expression of barley Mla1 confers race-specific resistance to the powdery mildew fungus via a Rar1-independent signaling pathway. Plant Cell. 2001, 13: 337-350. 10.1105/tpc.13.2.337.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  28. Halterman DA, Wei FS, Wise RP: Powdery mildew-induced Mla mRNAs are alternatively spliced and contain multiple upstream open reading frames. Plant Physiol. 2003, 131: 558-567. 10.1104/pp.014407.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  29. Rose LE, Bittner-Eddy PD, Langley CH, Holub EB, Michelmore RW, Beynon JL: The maintenance of extreme amino acid diversity at the disease resistance gene, RPP13, in Arabidopsis thaliana. Genetics. 2004, 166: 1517-1527. 10.1534/genetics.166.3.1517.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  30. Hall SA, Allen RL, Baumber RE, Baxter LA, Fisher K, Bittner-Eddy PD, Rose LE, Holub EB, Beynon JL: Maintenance of genetic variation in plants and pathogens involves complex networks of gene-for-gene interactions. Mol Plant Pathol. 2009, 10: 449-457. 10.1111/j.1364-3703.2009.00544.x.

    Article  PubMed  CAS  Google Scholar 

  31. Ellis JG, Lawrence GJ, Luck JE, Dodds PN: Identification of regions in alleles of the flax rust resistance gene L that determine differences in gene-for-gene specificity. Plant Cell. 1999, 11: 495-506. 10.1105/tpc.11.3.495.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  32. Rairdan GJ, Moffett P: Distinct domains in the ARC region of potato resistance protein Rx mediate LRR binding and inhibition of activation. Plant Cell. 2006, 18: 2082-2093. 10.1105/tpc.106.042747.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  33. Parniske M, Hammond-Kosack KE, Golstein C, Thomas CM, Jones DA, Harrison K, Wulff BBH, Jones JDG: Novel disease resistance specificities result from sequence exchange between tandemly repeated genes at the Cf-4/9 locus of tomato. Cell. 1997, 91: 821-832. 10.1016/S0092-8674(00)80470-5.

    Article  PubMed  CAS  Google Scholar 

  34. Mondragon-Palomino M, Gaut BS: Gene conversion and the evolution of three leucine-rich repeat gene families in Arabidopsis thaliana. Mol Biol Evol. 2005, 22: 2444-2456. 10.1093/molbev/msi241.

    Article  PubMed  CAS  Google Scholar 

  35. Kuang H, Woo SS, Meyers BC, Nevo E, Michelmore RW: Multiple genetic processes result in heterogeneous rates of evolution within the major cluster disease resistance genes in lettuce. Plant Cell. 2004, 16: 2870-2894. 10.1105/tpc.104.025502.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  36. Wei F, Wing RA, Wise RP: Genome dynamics and evolution of the Mla (powdery mildew) resistance locus in barley. Plant Cell. 2002, 14: 1903-1917. 10.1105/tpc.002238.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  37. Thompson JD, Gibson TJ, Plewniak F, Jeanmougin F, Higgins DG: The CLUSTAL_X windows interface: flexible strategies for multiple sequence alignment aided by quality analysis tools. Nucl Acids Res. 1997, 25: 4876-4882. 10.1093/nar/25.24.4876.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  38. Thompson JD, Higgins DG, Gibson TJ: CLUSTAL W, improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice. Nucl Acids Res. 1994, 22: 4673-4680. 10.1093/nar/22.22.4673.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

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Acknowledgements

Dr. Andreas Börner and Dr. Andreas Graner, Leibniz Institute of Plant Genetics and Crop Plant Research IPK, Gatersleben, Germany are acknowledged for providing seeds of the wheat accessions used in this study. This work was supported by funds from Swiss National Science Foundation grant (3100A-127061/1) and the Indo-Swiss Collaboration in Biotechnology (ISCB Wheat Network). Gurbir S. Bhullar is acknowledged for the help with graphic presentation. We thank Lorenza Ferreti and Fabian Jenny for their technical support.

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Correspondence to Beat Keller.

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Authors' contributions

NKB contributed by designing the project, conduct of research, data analysis and by writing this paper, ZZ contributed in the conduct of research, TW contributed in sequence diversity analysis, BK contributed in design of study, data analysis and by writing this paper. All authors read and approved the final manuscript.

Electronic supplementary material

12870_2010_582_MOESM1_ESM.TIFF

Additional file 1: Schematic representation of the Pm3 sequence alignment (exons) of the 54 Pm3 alleles (excluding two pseudogenes). Schematic representation of the Pm3 sequence alignment (exons) of the 54 Pm3 alleles (excluding two pseudogenes). Pm3CS was used as a reference sequence. The domains encoded by Pm3 alleles are depicted at the top [CC (yellow), NBS (red), Interspacer (grey) and 28LRRs (blue boxes)]. The EU192106 to EU192128 and Pm3k are the Pm3 alleles isolated from tetraploid wheat. The sequences Pm3a to Pm3g, Pm3l to Pm3r, FJ212300 to FJ 212315, and the newly isolated Pm3 sequences in this study (Pm3_4650, Pm3_8152, Pm3_15011, Pm3_7524, Pm3_11150, Pm3_2816, Pm3_2616) were isolated from hexaploid wheat accessions. (TIFF 1 MB)

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Bhullar, N.K., Zhang, Z., Wicker, T. et al. Wheat gene bank accessions as a source of new alleles of the powdery mildew resistance gene Pm3: a large scale allele mining project. BMC Plant Biol 10, 88 (2010). https://doi.org/10.1186/1471-2229-10-88

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