Phylogeography and virulence structure of the powdery mildew population on its 'new' host triticale
© Troch et al.; licensee BioMed Central Ltd. 2012
Received: 13 December 2011
Accepted: 10 May 2012
Published: 1 June 2012
Powdery mildew, caused by the obligate biotrophic fungus Blumeria graminis, is a major problem in cereal production as it can reduce quality and yield. B. graminis has evolved eight distinct formae speciales (f.sp.) which display strict host specialization. In the last decade, powdery mildew has emerged on triticale, the artificial intergeneric hybrid between wheat and rye. This emergence is probably triggered by a host range expansion of the wheat powdery mildew B. graminis f.sp. tritici. To gain more precise information about the evolutionary processes that led to this host range expansion, we pursued a combined pathological and genetic approach.
B. graminis isolates were sampled from triticale, wheat and rye from different breeding regions in Europe. Pathogenicity tests showed that isolates collected from triticale are highly pathogenic on most of the tested triticale cultivars. Moreover, these isolates were also able to infect several wheat cultivars (their previous hosts), although a lower aggressiveness was observed compared to isolates collected from wheat. Phylogenetic analysis of nuclear gene regions identified two statistically significant clades, which to a certain extent correlated with pathogenicity. No differences in virulence profiles were found among the sampled regions, but the distribution of genetic variation demonstrated to be geography dependent. A multilocus haplotype network showed that haplotypes pathogenic on triticale are distributed at different sites in the network, but always clustered at or near the tips of the network.
This study reveals a genetic structure in B. graminis with population differentiation according to geography and host specificity. In addition, evidence is brought forward demonstrating that the host range expansion of wheat isolates to the new host triticale occurred recently and multiple times at different locations in Europe.
KeywordsRenal cell carcinoma Partial nephrectomy Robotic partial nephrectomy Oncologic outcomes Nephron-sparing surgery
Genetic and archaeological evidence indicates that cereal agriculture, including wheat (Triticum aestivum) and rye (Secale cereale) cultivation, originated in the Fertile Crescent 10,000 to 12,000 years ago [1, 2]. Since then, the nature of the agro-ecosystem itself has played a critical part in the emergence and spread of plant pathogens, by providing a more dense and genetically uniform host population . An example of such a plant pathogen is Blumeria graminis, the causal agent of powdery mildew in cereals. This pathogen is a major problem in cereal production as it can reduce quality and yield [3, 4]. Management of the disease normally involves the use of fungicides, but this adds considerably to the cost of grain production.
B. graminis is an obligate biotrophic fungus which implies that it depends on living plant cells for survival and reproduction. Penetration and biotrophic colonization of a plant is the result of highly specific recognition mechanisms in the gene-for-gene response involving avirulence (AVR)- and resistance genes . Most known AVR genes encode effectors that facilitate pathogenicity by suppressing pathogen-associated molecular pattern-triggered immunity which can result in the induction of effector-triggered immunity [6, 7]. Two AVR genes have been isolated from B. graminis and both have effector activity [8, 9]. The fungus also has a huge repertoire of homologues of these genes, which may function as effectors and contribute to parasite aggressiveness .
In the long run, this mutual close interplay can result in co-evolution of host and pathogen. In this way, B. graminis has evolved eight distinct formae speciales (f.sp.) which display strict host specialization [11, 12]. For example, Triticum spp. and Secale spp. are appropriate hosts to B.g. f.sp. tritici and B.g. f.sp. secalis, respectively. Conversely, if plants are attacked by inappropriate formae speciales, attempts to infect and colonize the plant will fail .
Multilocus phylogenetic analysis identified lineages, closely matching the formae speciales defined on the basis of host specialization [14–16]. Additionally, Sacristan et al.  found that B. graminis avirulence genes (AVRk1 paralogs) have evolved differentially in the different formae speciales and that the phylogeny of AVRa10-like sequences corresponds with those of other genes. In particular, B.g. f.sp. tritici and B.g. f.sp. secalis are phylogenetically the most closely related formae speciales.
In the last decade, several studies tried to tackle the co-evolutionary relationship of the different formae speciales with their hosts [14, 15, 17, 18]. These studies resulted in a wide range of divergence time estimates between the different formae speciales, which reflects the challenges to calculate an accurate divergence time of this pathogen. However, all these studies state that the divergence of the different formae speciales is likely to be younger than the divergence of their hosts. This type of co-evolution is called host-tracking in contrast to co-speciation, where host and pathogen have diverged simultaneously . In spite of the discrepancy between divergence time of host and pathogen, Wyand and Brown  concluded that the center of diversity of B. graminis coincides with the center of origin of their hosts in the Middle East.
Triticale (× Triticosecale Wittmack) is the intergeneric hybrid between the female parent wheat (Triticum ssp.) and the male parent rye (Secale ssp.). The aim of this hybrid breeding was to combine the cold and disease tolerance of rye and its adaption to unfavorable soils and climates with the productivity and nutritional qualities of wheat . This artificial cereal is, in contrast to wheat and rye, of very recent origin and was commercialized at the end of the 1960’s [19, 20]. During the last decade, triticale has gained considerable importance in Europe, as its production area has nearly doubled since 2000 (up to almost 3.6 million ha in 2009, ). However, with the expansion of the triticale growing area, powdery mildew emerged on this new host and became a significant disease on triticale. This was simultaneously observed in several European countries, including Belgium, France and Poland . Recent research demonstrated that this powdery mildew on triticale has emerged most probably through a host range expansion of the wheat powdery mildew B.g. f.sp. tritici. This means that powdery mildew has evolved the capacity to colonize a new host species, triticale, which is phylogenetically closely related to its present host wheat.
Host range expansions are expected to occur rather frequently, because only a few modifications in the effector repertoire of the pathogen can suffice to adapt to a closely related plant species . Moreover, pathogen species with a large and diversified composition of effectors, which holds true for powdery mildew , should have a higher chance to increase their host range .
This study was initiated to gain more precise information about the evolutionary processes that led to this host range expansion. To address this question, we pursued a combined pathological and genetic approach. Powdery mildew isolates on triticale, wheat and rye were sampled from different breeding areas in Europe. Old isolates from the Middle East, the proposed centre of origin of cereals and B. graminis, were also included in this study, in order to be able to put the results in an evolutionary perspective. The first objective was to assess the host specificity and to determine the virulence profile of the powdery mildew populations on different hosts and regions in Europe. Documenting the true host range and virulence profile of this recently emerged pathogen is an important first step towards understanding the ecological context in which it has evolved. The second objective was to clarify the phylogenetic relationships and population structure of this recently emerged pathogen. We hypothesized that (i) the triticale powdery mildew population is structured by geography, host species or both and (ii) genetic diversity is higher in the wheat powdery mildew populations than in the recently emerged triticale powdery mildew populations.
Blumeria graminis isolates included in the analysis
Source host (origin of isolates)
Number of isolates
Year of collection
Wheat, triticale and rye cultivars used to characterize the virulence profile of the isolates
Fl. Desprez, France
SW Seed, Sweden
SW Seed, Sweden
SW Seed, Sweden
Nordsaat Saatzucht GmbH, Germany
Nordsaat Saatzucht GmbH, Germany
General reaction responses of Blumeria graminis isolates collected from different hosts on triticale, wheat and rye cultivars a
Source hosts (origin of isolates)b
B.g. f.sp. ‘triticale’ (n = 35)
B.g. f.sp. tritici (n = 35)
B.g. f.sp. secalis (n = 2)
Pairwise PhiPT estimates of the virulence profiles on wheat and triticale cultivars among the Blumeria graminis isolates sampled in different regions
Virulence profiles on the wheat lines
Virulence profiles on the triticale cultivars
Of the 35 B.g. f.sp. tritici isolates, only 5 isolates, sampled in the North and Centre of France, were pathogenic on triticale. The remaining 30 B.g. f.sp. tritici isolates formed one virulence profile, unable to infect triticale. Therefore, only the isolates which were pathogenic on triticale were included in the analysis. Among the 40 isolates pathogenic on triticale (5 collected from wheat and 35 collected from triticale), 14 unique virulence profiles were found. In general, all 40 isolates were highly pathogenic on most of the triticale cultivars. If isolates collected from wheat were pathogenic on triticale, their virulence profile did not differ significantly from the virulence profiles of the isolates collected from triticale, with an overall PhiPT value of 0.021 (P > 0.01). Pairwise PhiPT estimates of the virulence profiles among the B. graminis isolates pathogenic on triticale sampled in Belgium, France and Poland (Table 4) indicated that their virulence profiles did not differ significantly among regions.
Phylogenetic information of the nuclear regions used in this study for the individual and combined datasets
DNA sequence region
variable characters (uninformative)
parsimony informative characters
% informative characters
GTR + G
GTR + G
For the total population of 69 isolates, 29 haplotypes were identified for the combined data of loci tub2 and EF1α (Table 5). The isolates which were pathogenic on triticale displayed 10 of those haplotypes, while the isolates non-pathogenic on triticale were divided into 17 haplotypes in the combined data tree.
The haplotype network also revealed some pattern of geographical association among the B. graminis haplotypes. All isolates sampled in France, which were pathogenic on triticale, belong to group 2. All isolates sampled in Poland except one belong to group 1. The isolates sampled in Belgium formed haplotypes distributed over both groups. The old isolates from the Middle East formed diverse haplotypes, mostly derived near the centre of the multilocus network. This underscores that this region is the centre of diversity.
Population structure of Blumeria graminis by geographic region, host origin and pathogenicity
By geographic region
Region A (36) vs. region B (14) vs. region C (10) vs. region D (6)
By host origin
triticale (33) vs. wheat (33)
By year of collection within host origin wheat
Region D 1980’s (6) vs. Region A-B-C 2009–2010
By geographic region within host origin triticale
region A (16) vs. region B (8) vs. region C (9)
region A (16) vs. region B (8)
region A (16) vs. region C (9)
region B (8) vs. region C (9)
Pathogenic (37) vs. non-pathogenic (29) on triticale
Recent research has provided a compelling amount of evidence that powdery mildew on triticale has emerged most probably through a host range expansion of powdery mildew on wheat . To properly infer the evolutionary processes that led to this host range expansion, powdery mildew populations both from the present (wheat) and new hosts (triticale) were sampled. This study represents a successful attempt to establish a link between virulence profile data from pathogenicity tests and (phylo)genetic data.
Giraud et al.  defined host range expansions as the evolution of the ability to exploit a novel host in addition to the host of origin. The pathogenicity tests show that B. graminis isolates collected from triticale are highly pathogenic on most of the tested triticale cultivars. Moreover, these isolates were also able to infect several wheat cultivars (their previous hosts), although some variation in aggressiveness compared to isolates collected from wheat was observed. Among the 70 isolates used in this study, 63 virulence profiles were identified on the wheat lines with known powdery mildew resistance genes. On the other hand, among the 40 isolates pathogenic on triticale, only 14 displayed unique virulence profiles on the triticale cultivars. In general, all virulence profiles identified on the triticale cultivars were highly aggressive. Altogether, these results suggest that the disease resistance in triticale has largely been based on major genes which follow the gene-for-gene response . This disease resistance has probably been overcome by a few modifications in the effector repertoire of B. graminis f.sp. tritici to adapt to the closely related triticales genotypes. The fact that it has taken decades for the resistance of triticale to be overcome is probably because the total acreage of the crop is still small compared to wheat and barley. Additionally, triticale genotypes have probably more than one resistance gene against wheat-adapted isolates of the fungus. A similar breakdown of disease resistance was found for Magnaporthe oryzae f.sp. oryzae, which likely emerged from a host range expansion from a Setaria millet, possibly brought about by the loss of a strain-specific effector gene, which allowed the fungus to colonize rice [22, 25, 26]. Other recent examples of host range expansions of pathogens to triticale are the spreading of rice blast disease to wheat and triticale in Brazil  and the spreading of scald (Rhynchosporium secalis) of rye to triticale . The pathogenicity tests, showing that isolates collected from wheat and rye were occasionally able to infect triticale, corroborates previous findings of Linde-Laursen  and Walker et al. , and underscores the close relatedness of this intergeneric hybrid with its parents wheat and rye.
Pursuing a phylogenetic approach, we tried to develop a coherent view on the genetic diversity of powdery mildew isolates. No genetic diversity was observed for ITS region and chs1 gene due to the closely related hosts. However, the combined datasets of tub2 and EF1α accounted for 299 variable characters (of 2608 in total) of which 41 were parsimony informative. Bayesian posterior probability values identified two statistically significant clades, which to a certain extent correlated with pathogenicity. One clade consisted only of isolates pathogenic on triticale, distinct from another clade which consisted mostly of isolates non-pathogenic on triticale. A higher number of haplotypes was observed for the isolates which were non-pathogenic on triticale, compared to the isolates pathogenic on triticale. These results support the second hypothesis that genetic diversity is highest in the wheat powdery mildew populations compared to the recently emerged triticale powdery mildew populations. It was expected that the genetic diversity would be greatest in the powdery mildew population on wheat compared to the recently emerged population on triticale, because of their longer-standing accumulation of mutations.
Although the phylogenetic analysis did not cluster all isolates pathogenic on triticale in the same clade, it is highly likely that there is population differentiation according to host specificity. This is supported by the significant measures of Snn and HST when populations pathogenic and non-pathogenic on triticale were compared. Additionally, the haplotype network, resulting in two groups (1 and 2), separated by a minimum of 33 fixed differences, highlighted some degree of genetic isolation. This host range expansion may eventually result in a host shift speciation, which means that a subset of the population speciates on triticale, thereby becoming incapable of infecting wheat, with cessation of gene flow from the population infecting wheat . Historical cases of fungal disease emergence in cereals due to ecological speciation by host shifts are the emergence of Mycosphaerella graminicola and Rhynchosporium secalis on different cereal hosts.
Part of the first hypothesis in this study was that the triticale powdery mildew population is structured by geography. To validate this hypothesis, powdery mildew isolates at different triticale breeding areas in Europe were sampled.
Regarding the virulence profiles on the wheat lines, results demonstrated that the old isolates sampled in Israel in the 1980’s differed significantly from the isolates sampled in Belgium, France and Poland in 2009–2010. A possible explanation for this finding is that in a period of 30 years, host populations have changed, more particularly, they carry different R genes and therefore isolates with other AVR-like genes are now more adapted and thus more virulent. Eshed and Wahl  described that isolates from Israel have a wider host range than those from elsewhere in the world, reflecting the broader genetic diversity of host plants in the Middle East. However, this could not be confirmed in the present study, as the isolates from Israel were only pathogenic on wheat, and not on triticale or rye. If isolates were pathogenic on triticale, their virulence profiles on the triticale cultivars did not differ significantly among the different sampled regions (Belgium, France and Poland). Probably the triticale cultivars tested in this study, although from different European breeding companies, have the same narrow genetic background carrying the same R genes for powdery mildew resistance  and therefore no differences in virulence profiles were found among regions. In surveys of wheat powdery mildew, it is indeed described that virulence frequencies are highly influenced by the resistance genes carried by cultivars grown in a particular area [32, 33].
The multilocus haplotype network demonstrated that haplotypes of isolates pathogenic on triticale are distributed at different sites in the network, but always clustered at or near the tips of the network. Therefore, it is likely that the host range expansion of wheat isolates to the new host triticale occurred recently and multiple times at different locations in Europe. The haplotype network also revealed some pattern of geographical association among the B. graminis haplotypes, and this finding was also supported by significant measures of Snn and HST when populations among geographic regions were compared. An exception to this rule are the isolates sampled in Belgium and France for which no significant differentiation was found. It can be envisaged that the small geographical distance between both groups causes this lack of differentiation. Population genetic analyses of wheat powdery mildew and grape powdery mildew also demonstrated that populations were geographically differentiated [34, 35]. The network might also give evidence for long distance spore dispersal as haplotypes (pathogenic on triticale) from Belgium and Poland were distributed over both groups of the network. Long-distance dispersal of fungal spores by the wind can spread plant diseases across and even between continents, which holds true for powdery mildew [36, 37]. The old isolates from the Middle East formed diverse haplotypes, mostly derived near the centre of the multilocus network. This might suggest that this region is representing the ancestral population and the centre of diversity of B. graminis, which was already stated by Wyand and Brown .
The present study pursued a combined pathological and (phylo)genetic approach to explain the evolutionary processes that led to the host range expansion of powdery mildew from wheat to triticale. To our knowledge, this is the first population study of powdery mildew on its new host triticale. Based on the genomic regions of tub2 and EF1α, the distribution of genetic variation demonstrated to be geography dependent. In addition, evidence is brought forward showing that the host range expansion of wheat isolates to the new host triticale occurred recently and multiple times at different locations in Europe. Finally, this study reveals a genetic structure in Blumeria graminis, which is to a certain extent correlated with pathogenicity. Two genetically distinct groups could be detected of which one group consisted exclusively of isolates pathogenic on triticale. Other genomic regions, including AVR effector-like genes, should be investigated to support this genetic differentiation.
A total of 72 isolates were obtained from triticale (35), Triticum aestivum (31), T. durum (3), T. diccocoides (1) and Secale cereale (2) (Table 1). The surveyed area covered three triticale and wheat breeding regions in Europe. Region A represents Belgium, Region B France and Region C Poland. Isolates were derived from infected leaves collected in different fields during 2009 and 2010. All isolates were made single colony and cultured on detached leaves on water agar (5 g L−1) amended with benzimidazole (40 mg L−1) in petri dishes . Cultures were maintained at 18°C with a 16 h photoperiod and transferred to new leaves every 14 days. The following susceptible host cultivars were used for the maintenance of the different formae speciales: Cerco (wheat), Lamberto (triticale) and Dankowsky Złote (rye). Old isolates from Israel were included, which is region D in this study (Table 1). These isolates were sampled across Israel in the 1980’s from three Triticum spp. (T. aestivum T. durum and T. diccocoides) by N. Eshed and A. Dinoor (Hebrew University of Jerusalem, Rehovot, Israel). Detailed information about the isolates used in this study are listed in Additional file 3.
Plant material and inoculation
The virulence of each isolate was assessed on a set of 15 wheat differential lines (Table 2) with known powdery mildew resistance genes (Pm) in order to determine the virulence genes associated with each isolate. These differential lines were kindly provided by James Brown from the John Innes centre and cover the most common resistance genes used in European wheat breeding . We also determined a virulence profile on 15 commercial triticale cultivars and 1 rye cultivar (Table 2) from different European breeding companies.
Inoculation was performed in a settling tower measuring 300 mm high and 103 mm diameter by uniformly dispersing conidia . Inoculation was carried out on 2-week old seedlings. For each isolate × cultivar combination, a petri dish containing three leaf segments of the cultivar and one leaf segment of a susceptible control was placed at the bottom of the tower, and conidia of the isolate were blown into a upper hole of the tower. Two independent inoculations were done for each isolate × cultivar combination. Inoculum density was ca. 20 conidia mm−2. Infection types were scored 12 days after inoculation using a modified 0–4 scale [40, 41]. Cultures were maintained on the same medium and under the same conditions as mentioned above. Infection types of isolates of Blumeria graminis collected from wheat and triticale in different regions in Europe on wheat and triticale cultivars are available in Additional files 1 and 2, respectively.
Virulence structure analysis
The 0–4 scale used for infection types was converted into a binary code of 1 (scores 2–4) and 0 (scores 0–1) that corresponded to virulence or avirulence of the isolate to a cultivar, respectively. In this way, a virulence profile for each isolate was defined on the respective wheat and triticale cultivars. A matrix of virulence differences between isolates collected from triticale and wheat was derived with GenAlEx 6 . This matrix was plotted in a two-dimensional principal coordinate graph. The level of differentiation for virulence profiles between the B. graminis populations on wheat and triticale was computed in GenAlEx 6 with PhiPT with 999 permutations of the dataset. PhiPT is an FST analogue, which represents the proportion of variance among populations, relative to the total variance.
DNA extraction, PCR and sequencing
For DNA extraction, conidia were collected by shaking contaminated leaves into a plastic tube. DNA was extracted with the DNeasy Plant Mini Kit (Qiagen), used according to manufacturer’s instructions, except that the conidia were lyophilized and ground before DNA extraction. Four nuclear loci were PCR-amplified and sequenced from each isolate, using published primers: ITS region , chitin synthase chs1, β-tubulin tub2 and elongation factor EF1α. The PCR reactions were carried out in a total volume of 50 μL. Reaction components included 5 μL of 10× PCR buffer (Applied Biosystems), 2.5 μL dNTPs (5 mM each), 5 μL each of two primers (5 μM), 25 mM MgCl2, 1 U Taq DNA polymerase (Applied Biosystems) and 1 μL DNA template. Cycling conditions included an initial denaturation at 94°C for 5 min followed by 35 cycles with a denaturation step at 94°C for 45 s, annealing at 50–61°C for 30 s , extension at 72°C for 1 min, followed by a final extension at 72°C for 5 min. PCR product were purified with Qiaquick spin columns (Qiagen). Fragments of the appropriate size were sequenced in both directions by the commercial Macrogen facility (Macrogen, Seoul, Korea). Sequences of tub2 and EF1α of all isolates used in this study are deposited in GenBank and the accession numbers are available in Additional file 3.
Phylogenetic analysis and haplotype network construction
Sequences were aligned using CLUSTALW [44, 45] and manually refined in BioEdit 7.0.9 . Consensus sequences were compared with those published for reference isolates of B. graminis from the GenBank database. The phylogenetic analyses were conducted using maximum likelihood (ML) and Bayesian methods. For ML, the software PAUP* 4.0b10 was used . The Bayesian analysis was carried out using MrBayes 3.1.2 .
The Akaike information criterion (AIC) as implemented by MODELTEST 3.7 [49, 50] was used to determine the DNA bases substitution model more fit to the data (Table 5). Two independent analyses were run in MrBayes starting with a random tree. Markov chains were run for 106 generations, burn-in values were set for 104 generations, and trees were sampled every 100 generations. The remaining trees were used to calculate a 50% majority rule consensus tree and to determine the posterior probabilities.
A multilocus haplotype network was generated using phylogenetic algorithms with migration . The 50% majority rule consensus tree inferred by Bayesian analysis was used to estimate a haplotype network performed in the program Haploviewer .
Population structure analysis
Differentiation among geographic regions, host origin and pathogenicity was estimated on combined multilocus sequences of tub2 and EF1α. According to Brewer et al. , the nearest neighbor statistic (Snn) measures were selected for analysis because it has high power with small population sizes. This statistic measures how often the most similar sequence (or sequences) is from the same designated population. Additionally, HST was estimated, a measure of population subdivision that estimates FST among haplotypes. Both Snn and HST were calculated using the program DnaSP v5  and P-values were estimated by permutation tests (1000 replications).
Akaike information criterion
Blumeria graminis from Hordeum
Blumeria graminis from Secale
Blumeria graminis from Triticum aestivum
Blumeria graminis from Triticum durum
Blumeria graminis from triticum diccocoides
Blumeria graminis from Triticale
internal transcribed spacer
principle component analysis
portion of variance among populations relative to total variance
nearest neighbor statistic
We gratefully acknowledge James Brown from John Innes Centre (Norwich, UK) for his expertise, training and for sending the seeds of the wheat differentials. We would also like to thank all the generous collaborators who helped us collect B. graminis by sending us samples. We particularly acknowledge Annaig Bouguennec from INRA (Clermont-Ferrand, France) for collecting the French samples, Pawel Czembor and Olga Domeradzka from IHAR (Radzikow, Poland) for collecting the Polish samples and Amos Dinoor from Hebrew University of Jerusalem (Rehovot, Israel) for providing the Israeli samples. Adriaan Vanheule is acknowledged for his help with the pathogenicity tests. This project was funded by a grant from the University College Ghent (Ghent University Association).
- Salamini F, Ozkan H, Brandolini A, Schafer-Pregl R, Martin W: Genetics and geography of wild cereal domestication in the Near East. Nat Rev Genet. 2002, 3: 429-441.PubMedGoogle Scholar
- Stukenbrock EH, McDonald BA: The origins of plant pathogens in agro-ecosystems. Annu Rev Phytopathol. 2008, 46: 75-100. 10.1146/annurev.phyto.010708.154114.PubMedView ArticleGoogle Scholar
- Everts K, Leath S, Finney PL: Impact of powdery mildew and leaf rust on milling and baking quality of soft red winter wheat. Plant Dis. 2001, 85: 423-429. 10.1094/PDIS.2001.85.4.423.View ArticleGoogle Scholar
- Conner RL, Kuzyk AD, Su H: Impact of powdery mildew on the yield of soft white spring wheat cultivars. Can J Plant Sci. 2003, 83: 725-728. 10.4141/P03-043.View ArticleGoogle Scholar
- Flor HH: The complementary genic systems in flax and flax rust. Adv Genet. 1956, 8: 29-54.View ArticleGoogle Scholar
- Jones JDG, Dangl JL: The plant immune system. Nature. 2006, 444: 323-329. 10.1038/nature05286.PubMedView ArticleGoogle Scholar
- De Wit PJGM, Mehrabi R, Van Den Brug HA, Stergiopoulos I: Fungal effector proteins: past, present and future. Mol Plant Pathol. 2009, 10: 735-747. 10.1111/j.1364-3703.2009.00591.x.PubMedView ArticleGoogle Scholar
- Ridout CJ, Skamnioti P, Porritt O, Sacristan S, Jones JDG, Brown JKM: Multiple avirulence paralogues in cereal powdery mildew fungi may contribute to parasite fitness and defeat of plant resistance. Plant Cell. 2006, 18: 2402-2414. 10.1105/tpc.106.043307.PubMedPubMed CentralView ArticleGoogle Scholar
- Nowara D, Gay A, Lacomme C, Shaw J, Ridout C, Douchkov D, Hensel G, Kumlehn J, Schweizer P: HIGS: host-induced gene silencing in the obligate biotrophic fungal pathogen Blumeria graminis. Plant Cell. 2010, 22: 3130-3141. 10.1105/tpc.110.077040.PubMedPubMed CentralView ArticleGoogle Scholar
- Sacristan S, Vigouroux M, Pedersen C, Skamnioti P, Thordal-Christensen H, Micali C, Brown JKM, Ridout CJ: Coevolution between a family of parasite virulence effectors and a class of LINE-1 retrotransposons. PLoS One. 2009, 4: e7463-10.1371/journal.pone.0007463.PubMedPubMed CentralView ArticleGoogle Scholar
- Marchal E: De la specialisation du paristisme chez l’Erysiphe graminis. Compt Rend Acad Sci Paris. 1902, 135: 210-212.Google Scholar
- Oku T, Yamashita S, Doi Y, Nishihara N: Host range and forma specialis of cocksfoot powdery mildew fungus (Erysiphe graminis DC) found in Japan. Ann Phytopathol Soc Japan. 1985, 51: 613-615. 10.3186/jjphytopath.51.613.View ArticleGoogle Scholar
- Olesen KL, Carver TLW, Lyngkjær MF: Fungal suppression of resistance against inappropriate Blumeria graminis formae speciales in barley, oat and wheat. Physiol Mol Plant Pathol. 2003, 62: 37-50. 10.1016/S0885-5765(03)00005-5.View ArticleGoogle Scholar
- Wyand RA, Brown JKM: Genetic and forma specialis diversity in Blumeria graminis of cereals and its implications for host-pathogen co-evolution. Mol Plant Pathol. 2003, 4: 187-198. 10.1046/j.1364-3703.2003.00167.x.PubMedView ArticleGoogle Scholar
- Inuma T, Khodaparast SA, Takamatsu S: Multilocus phylogenetic analysis within Blumeria graminis, a powdery mildew fungus of cereals. Mol Phylogenet Evol. 2007, 44: 741-751. 10.1016/j.ympev.2007.01.007.PubMedView ArticleGoogle Scholar
- Walker AS, Bouguennec A, Confais J, Morgant G, Leroux P: Evidence of host-range expansion from new powdery mildew (Blumeria graminis) infections of triticale (× Triticosecale) in France. Plant Pathol. 2011, 60: 207-220. 10.1111/j.1365-3059.2010.02379.x.View ArticleGoogle Scholar
- Takamatsu S, Matsuda S: Estimation of molecular clocks for ITS and 28s rDNA in Erysiphales. Mycoscience. 2004, 45: 340-344. 10.1007/s10267-004-0187-7.View ArticleGoogle Scholar
- Oberhaensli S, Parlange F, Buchmann JP, Jenny FH, Abbott JC, Burgis TA, Spanu PD, Keller B, Wicker T: Comparative sequence analysis of wheat and barley powdery mildew fungi reveals gene colinearity, dates divergence and indicates host-pathogen co-evolution. Fungal Genet Biol. 2011, 48: 327-334. 10.1016/j.fgb.2010.10.003.PubMedView ArticleGoogle Scholar
- Ammar K, Mergoum M, Rajaram S: The history and evolution of triticale. Triticale Improvement and Production. Edited by: Mergoum M, Gomez-Macpherson H. 2004, FAO, Rome, Italy, 1-9. FAO Plant Production and Protection Paper 179Google Scholar
- Oettler G: The fortune of a botanical curiosity—Triticale: past, present and future. J Agric Sci. 2005, 143: 329-346. 10.1017/S0021859605005290.View ArticleGoogle Scholar
- FAOSTAT. , , , [http://faostat.fao.org/site/567/DesktopDefault.aspx?PageID=567]
- Schulze-Lefert P, Panstruga R: A molecular evolutionary concept connecting nonhost resistance, pathogen host range, and pathogen speciation. Trends Plant Sci. 2011, 16: 117-125. 10.1016/j.tplants.2011.01.001.PubMedView ArticleGoogle Scholar
- Spanu PD, Abbott JC, Amselem J, Burgis TA, Soanes DM, Stüber K, Ver Looren van Themaat E, Brown JKM, Butcher SA, Gurr SJ, Lebrun M-H, Ridout CJ, Schulze-Lefert P, Talbot NJ, Ahmadinejad N, Ametz C, Barton GR, Benjdia M, Bidzinski P, Bindschedler LV, Both M, Brewer MT, Cadle-Davidson L, Cadle-Davidson MM, Collemare J, Cramer R, Frenkel O, Godfrey D, Harriman J, Hoede C, King BC, Klages S, Kleemann J, Knoll D, Koti PS, Kreplak J, López-Ruiz FJ, Lu X, Maekawa T, Mahanil S, Micali C, Milgroom MG, Montanna G, Noir S, O’Connell RJ, Oberhaensli S, Parlange F, Pedersen C, Quesneville H, Reinhardt R, Rott M, Sacistán S, Schmidt SM, Schön M, Skamnioti P, Sommer H, Stephens A, Takahara H, Thordal-Christensen H, Vigouroux M, Weßling R, Wicker T, Panstruga R: Genome expansion and gene loss in powdery mildew fungi reveal functional tradeoffs in extreme parasitism. Science. 2010, 330: 1543-1546. 10.1126/science.1194573.PubMedView ArticleGoogle Scholar
- Giraud T, Gladieux P, Gavrilets S: Linking the emergence of fungal plant diseases with ecological speciation. Trends Ecol Evol. 2010, 25: 387-395. 10.1016/j.tree.2010.03.006.PubMedPubMed CentralView ArticleGoogle Scholar
- Couch BC, Kohn LM: A multilocus gene genealogy concordant with host preference indicates segregation of a new species, Magnaporthe oryzae, from M. grisea. Mycologia. 2002, 94: 683-693. 10.2307/3761719.PubMedView ArticleGoogle Scholar
- Couch BC, Fudal I, Lebrun M-H, Tharreau D, Valent B, van Kim P, Nottéghem J-L, Kohn LM: Origins of host-specific populations of the blast pathogen Magnaporthe oryzae in crop domestication with subsequent expansion of pandemic clones on rice and weeds of rice. Genetics. 2005, 170: 613-630. 10.1534/genetics.105.041780.PubMedPubMed CentralView ArticleGoogle Scholar
- Mehta YRAB: Variação patogênica entre isolados de Magnaporthe grisea atacando triticale e trigo no estado do Paraná. Summa Phytopathol. 1998, 24: 119-125.Google Scholar
- Zaffarano PL, McDonald BA, Linde CC: Rapid speciation following recent host shifts in the plant pathogenic fungus Rhynchosporium. Evolution. 2008, 62: 1418-1436. 10.1111/j.1558-5646.2008.00390.x.PubMedView ArticleGoogle Scholar
- Linde-Laursen I: Reaction of triticale, wheat and rye to the powdery mildew fungi, Eysiphe graminis f.sp. tritici and E. graminis f.sp. secalis. Z Pflanzenzucht. 1977, 79: 110-121.Google Scholar
- Stukenbrock EH, Banke S, Javan-Nikkhah M, McDonald BA: Origin and domestication of the fungal wheat pathogen Mycosphaerella graminicola via sympatric speciation. Mol Biol Evol. 2007, 24: 398-411.PubMedView ArticleGoogle Scholar
- Eshed N, Wahl I: Host ranges and interrelations of Erysiphe graminis hordei, Erysiphe graminis tritici, and Eysiphe graminis avenae. Phytopathology. 1970, 60: 628-634. 10.1094/Phyto-60-628.View ArticleGoogle Scholar
- As N, Leath S: Virulence of Blumeria graminis f.sp. tritici on winter wheat in the eastern United States. Plant Dis. 1998, 82: 64-68. 10.1094/PDIS.19184.108.40.206.View ArticleGoogle Scholar
- Parks R, Carbone I, Murphy JP, Marshall D, Cowger C: Virulence structure of the eastern U.S. wheat powdery mildew population. Plant Dis. 2008, 92: 1074-1082. 10.1094/PDIS-92-7-1074.View ArticleGoogle Scholar
- Parks R, Carbone I, Murphy JP, Cowger C: Population genetic analysis of an eastern U.S. wheat powdery mildew population reveals geographic subdivision and recent common ancestry with U.K. and Israeli populations. Phytopathology. 2009, 99: 840-849. 10.1094/PHYTO-99-7-0840.PubMedView ArticleGoogle Scholar
- Brewer MT, Milgroom MG: Phylogeography and population structure of the grape powdery mildew fungus, Erysiphe necator, from diverse Vitis species. BMC Evol Biol. 2010, 10: 268-10.1186/1471-2148-10-268.PubMedPubMed CentralView ArticleGoogle Scholar
- Limpert E, Godet F, Müller K: Dispersal of cereal mildews across Europe. Agric Forest Meteorol. 1999, 97: 293-308. 10.1016/S0168-1923(99)00073-8.View ArticleGoogle Scholar
- Brown JKM, Hovmøller MS: Aerial dispersal of pathogens on the global and continental scales and its impact on plant disease. Science. 2002, 297: 537-541. 10.1126/science.1072678.PubMedView ArticleGoogle Scholar
- Brown JKM, Wolfe MS: Structure and evolution of a population of Erysiphe graminis f.sp. hordei. Plant Pathol. 1990, 39: 376-390. 10.1111/j.1365-3059.1990.tb02514.x.View ArticleGoogle Scholar
- Hsam SLK, Zeller FJ: Breeding for powdery mildew resistance in common wheat (Triticum aestivum L.). The Powdery Mildews. A Comprehensive Treatise. Edited by: Bélanger RR, Bushnell WR, Dik AJ, Carver TLW. 2002, APS Press, St. Paul, Minnesota, 219-238.Google Scholar
- Moseman JG, Macer RCF, Greeley LW: Genetic studies with cultures of Eysiphe graminis f.sp. hordei virulent on Hordeum spontaneum. Trans Br Mycol Soc. 1965, 48: 479-489. 10.1016/S0007-1536(65)80072-9.View ArticleGoogle Scholar
- Lillemo M, Skinnes H, Brown JKM: Race specific resistance to powdery mildew in Scandinavian wheat cultivars, breeding lines and introduced genotypes with partial resistance. Plant Breed. 2010, 129: 297-303.View ArticleGoogle Scholar
- Peakall R, Smouse PE: GENALEX 6: genetic analysis in excel. Population genetic software for teaching and research. Mol Ecol Notes. 2006, 6: 288-295. 10.1111/j.1471-8286.2005.01155.x.View ArticleGoogle Scholar
- White TJ, Bruns TD, Lee S, Taylor JW: Amplification and direct sequencing of fungal ribosomal genes for phylogenetics. PCR Protocols. Edited by: Innis MA, Gelfrand DH, Sninsky JJ, White TJ. 1990, Academic, San Diego, CA, USA, 315-322.Google Scholar
- 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. Nucleic Acids Res. 1994, 22: 4673-4680. 10.1093/nar/22.22.4673.PubMedPubMed CentralView ArticleGoogle Scholar
- Larkin MA, Blackshields G, Brown NP, Chenna R, McGettigan PA, McWilliam H, Valentin F, Wallace IM, Wilm A, Lopez R, Thompson JD, Gibson TJ, Higgins DG: Clustal W and Clustal X version 2.0. Bioinformatics. 2007, 23: 2947-2948. 10.1093/bioinformatics/btm404.PubMedView ArticleGoogle Scholar
- Hall TA: BioEdit: a user-friendly biological sequence alignment editor and analysis program for windows 95/98/NT. Nucleic Acids Symp. 1999, Ser 41: 95-98.Google Scholar
- Swofford DL: PAUP* 4.0: Phylogenetic Analysis Using Parsimony, 4.0. 2002, Illinois Natural History Survey, ChampaignGoogle Scholar
- Huelsenbeck JP, Ronquist F: MrBayes 3: Bayesian phylogenetic inference under mixed models. Bioinformatics. 2003, 19: 1572-1574. 10.1093/bioinformatics/btg180.PubMedView ArticleGoogle Scholar
- Posada D, Crandall KA: MODELTEST: testing the model of DNA substitution. Bioinformatics. 1998, 14: 817-818. 10.1093/bioinformatics/14.9.817.PubMedView ArticleGoogle Scholar
- Posada D, Crandall KA: Selecting the best-fit model of nucleotide substitution. Syst Biol. 2001, 50: 580-601.PubMedView ArticleGoogle Scholar
- Salzburger W, Ewing GB, Von Haeseler A: The performance of phylogenetic algorithms in estimating haplotype genealogies with migration. Mol Ecol. 2011, 20: 1952-1963. 10.1111/j.1365-294X.2011.05066.x.PubMedView ArticleGoogle Scholar
- Librado P, Rozas J: DnaSP v5: a software for comprehensive analysis of DNA polymorphism data. Bioinformatics. 2009, 25: 1451-1452. 10.1093/bioinformatics/btp187.PubMedView ArticleGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.