- Research article
- Open Access
In silico analysis of the core signaling proteome from the barley powdery mildew pathogen (Blumeria graminis f.sp. hordei)
BMC Genomics volume 15, Article number: 843 (2014)
Compared to other ascomycetes, the barley powdery mildew pathogen Blumeria graminis f.sp. hordei (Bgh) has a large genome (ca. 120 Mbp) that harbors a relatively small number of protein-coding genes (ca. 6500). This genomic assemblage is thought to be the result of numerous gene losses, which likely represent an evolutionary adaptation to a parasitic lifestyle in close association with its host plant, barley (Hordeum vulgare). Approximately 8% of the Bgh genes are predicted to encode virulence effectors that are secreted into host tissue and/or cells to promote pathogenesis; the remaining proteome is largely uncharacterized at present.
We provide a comparative analysis of the conceptual Bgh proteome, with an emphasis on proteins with known roles in fungal development and pathogenicity, for example heterotrimeric G proteins and G protein coupled receptors; components of calcium and cAMP signaling; small monomeric GTPases; mitogen-activated protein cascades and transcription factors. The predicted Bgh proteome lacks a number of proteins that are otherwise conserved in filamentous fungi, including two proteins that are required for the formation of anastomoses (somatic hyphal connections). By contrast, apart from minor modifications, all major canonical signaling pathways are retained in Bgh. A family of kinases that preferentially occur in pathogenic species of the fungal clade Leotiomyceta is unusually expanded in Bgh and its close relative, Blumeria graminis f.sp. tritici.
Our analysis reveals characteristic features of the proteome of a fungal phytopathogen that occupies an extreme habitat: the living plant cell.
Powdery mildew is a prevalent disease of many higher plant species that is caused by ascomycetes of the order Erysiphales . Members of the order Erysiphales have an obligate biotrophic lifestyle, i.e. they can only grow and propagate on living plant tissue; in vitro propagation and genetic manipulation (transformation) are currently impossible. While some powdery mildew fungi have a wide host range and can infect a broad spectrum of plant species, others have a narrow host range and can often infect only a single plant species. A well-known representative of the latter is Blumeria graminis f.sp. hordei (Bgh), the causal agent of the barley powdery mildew disease, which exclusively colonizes barley (Hordeum vulgare). Grass powdery mildews of the genus Blumeria are serious phytopathogens that cause considerable yield losses in agricultural settings .
We previously sequenced and partially assembled the genomes of the three powdery mildew species Bgh (isolate DH14), Erysiphe pisi (the pea powdery mildew pathogen) and Golovinomyces orontii (one of several powdery mildew species that are able to colonize the model plant species Arabidopsis thaliana; ). Recently, the genome sequence of a fourth powdery mildew species (Blumeria graminis f.sp. tritici (Bgt), the wheat powdery mildew pathogen), has been published  and additional Bgh isolates have been sequenced . These studies show that in comparison to other ascomycetes, powdery mildew genomes are unusually large (ca. 120–160 Mbp). This is chiefly due to a genome structure typified by the presence of numerous nested retrotransposon copies with few interspersed genes. Haplotype structure of the Bgh and Bgt genomes reveals a mosaic pattern of alternating homomorphic and polymorphic blocks, which has been interpreted as an indication of frequent asexual and rare sexual reproduction [4, 5].
Despite their huge size, powdery mildew genomes are characterized by a comparatively small number of conventional protein-coding genes. For example, the genomes of Bgh and Bgt each harbor ~6,500 annotated genes [3, 4]. This is at the lower end for ascomycete phytopathogens . The reduction in gene content is partly due to a drastic decrease in genes coding for cell wall-degrading enzymes (carbohydrate-active enzymes; CAZys) and secondary metabolite biosynthesis enzymes, which is consistent with their parasitic obligate biotrophic lifestyle. In addition, powdery mildews have lost multiple genes that are otherwise conserved in ascomycetes, ranging from unicellular yeasts to filamentous fungi. These genes comprise, amongst others, enzymes required for nitrate and sulfate assimilation and biosynthesis of thiamine (vitamin B1) . Interestingly, similar gene losses can also be seen in the genomes of the very distantly related rust fungi (basidiomycetes) and downy mildews (oomycetes), which also possess obligate biotrophic lifestyles, suggesting that the reduction in gene content represents lifestyle-associated convergent evolution .
It can be assumed that the list of common fungal genes found to be missing in Bgh is incomplete. First, very strict criteria were applied to identify missing genes in Bgh. Proteins belonging to different families, but sharing common domains, may thus have escaped detection. Second, the starting point for the analysis was the well-annotated proteome of yeast, which is a unicellular fungus. Therefore, all proteins that are specific to filamentous fungi were not considered. Third, missing family members cannot be identified by this approach. Fourth, species-specific gene losses in individual powdery mildew species might well have been overlooked, since absence of the genes in all three powdery mildew species under consideration (Bgh, G. orontii and E. pisi) was a criterion of the bioinformatic pipeline. We therefore expect that careful manual analysis would uncover additional genes missing in the Bgh genome.
As other phytopathogens, powdery mildew fungi are thought to deploy a suite of secreted effector proteins for host cell manipulation. Genome-wide analysis revealed 491 Candidate Secreted Effector Proteins (CSEPs) that are encoded by the Bgh genome . CSEPs represent comparatively small polypeptides that harbor a predicted N-terminal signal peptide for secretion, lack sequence-relatedness to known proteins in the NCBI database and often show evidence of diversifying selection . Notably, a considerable number of the Bgh CSEPs show predicted structural similarities to microbial ribonucleases . A similar, though slightly higher, number (602) of effector-encoding genes was found in Bgt. Interestingly, 437 CSEPs are shared between Bgh and Bgt, and appear to represent Blumeria-specific genes, since there is no evidence for their existence outside this genus. First functional studies have begun to elucidate the contribution of individual CSEPs to plant colonization [8, 9]. Besides the CSEPs, the Bgh genome encodes a huge suite of unconventional effector candidates that lack an amino-terminal secretion signal and are physically associated and seemingly coevolved with LINE-1 retrotransposons . These proteins were first recognized upon cloning of the avirulence genes matching the barley Mlk1 and Mla10 resistance genes  and are therefore also designated putative effectors with similarity to AVRK1 and AVRA10 (EKAs).
Despite extensive characterization of genomic organization , haplotype structure  and effector content [7, 10] of the Bgh genome, little attention has been paid to its core proteome. Here we provide a global characterization of the full Bgh proteome and analyze in detail selected protein families with well-known roles in fungal development and pathogenicity.
Results and discussion
Global characterization of the conceptual Bghproteome
The annotated Bgh isolate DH14 genome (v3.0) comprises 6,470 genes, including ca. 250 partial genes (5′- or 3′- truncated) and/or genes that are split on two contigs (http://www.blugen.org/). In the course of this analysis we annotated an additional 25 genes, of which one (mating pheromone receptor Ste3) was not represented by a genomic contig of isolate DH14 but deduced from RNA sequencing data from Bgh isolate K1 . Altogether, this resulted in a total of 6,495 genes, which form the basis for the present study (Additional file 1: Table S1, sheet “Summary”). We used the respective predicted amino acid sequences to perform a number of bioinformatic analyses to characterize the proteome of Bgh DH14.
The size of the predicted Bgh proteins is 483 ± 372 (mean ± standard deviation) amino acids, which is close to the average protein size of 487 amino acids recently reported for fungi . A major proportion (37.5%) of the Bgh proteins lie between 250 and 500 amino acids in size (Figure 1A). Few proteins are larger than 1,500 amino acids (509, ca. 8%) or smaller than 100 amino acids (183, ca. 3%). According to the current annotation, the smallest protein, with 25 amino acids, is the 60S ribosomal protein L41 (EBI/GenBank accession number CEA17194). The largest protein (accession number CCU82148), composed of 4,817 amino acids, is a homolog of midasin, a huge AAA ATPase distantly related to the motor protein dynein.
TMHMM2.0 analysis indicated that 1,091 Bgh proteins harbor at least one transmembrane (TM) domain (Additional file 1: Table S1, sheet “Summary”). The range of predicted TM domains per protein is between one (469 proteins) and 24 (one protein), with few proteins (95) having more than ten predicted TM domains (Figure 1B). Similar to this calculation, the extrapolation of experimentally determined subcellular localization data suggests the presence of somewhat more than 1,000 integral membrane proteins in the unicellular ascomycete Saccharomyces cerevisiae. Analysis with SignalP4.1 revealed that 731 proteins (~11% of the predicted Bgh proteome) harbor a predicted signal peptide for secretion at their amino terminus (Additional file 1: Table S1, sheet “Summary”). In absolute numbers this value is at the lower end for SignalP-predicted proteins of the fungal subphylum Pezizomycotina; however, in relation to the size of the proteome it is rather at the upper end . These putatively secreted Bgh proteins comprise 421 of the 491 previously identified CSEPs. The seeming discrepancy for the remaining 70 CSEPs results from prediction algorithm changes, in the now used SignalP4.1 version, compared to the formerly used version 3.0. These instances may thus comprise borderline cases for which signal peptide prediction is ambiguous. However, analysis with the SignalP4.1 algorithm corroborated the presence of an N-terminal signal peptide for 86% of the previously identified CSEPs and allowed the identification of 42 additional secreted effector candidates that were differentially classified or overlooked before (Additional file 1: Table S1, sheet “Additional effector candidates”). In conclusion, this analysis shows that CSEPs account for more than half of the Bgh proteins with a predicted signal peptide.
BLASTP searches, in the context of BLAST2GO analysis, revealed 5,665 Bgh proteins with one or more hits in the NCBI database (E value <1e-06), while 830 proteins had no significant hits (E value ≥ 1e-06; Additional file 1: Table S1, sheet “No BLAST hit”) at the time of analysis. Botryotinia fuckeliana, Glarea lozoyensis, Marssonina brunnea, Fusarium oxysporum and Sclerotinia sclerotiorum were the species that yielded the greatest total number of BLAST hits (Additional file 2: Figure S1a); whereas Marssonina brunnea, Glarea lozoyensis and Botryotinia fuckeliana were the species that yielded most top BLAST hits for the Bgh query sequences (Additional file 2: Figure S1b).
We used Markov clustering (MCL) to group the 6,495 predicted Bgh proteins into polypeptide families (see Methods for details). This type of analysis revealed that the Bgh genome encodes 619 protein families, ranging in size from two to 230 members, plus 3,758 singletons. Most protein families are small (544 families with 2–5 members) or medium-sized (68 families with 6–25 members), and only seven families comprise more than 25 members (Additional file 3: Table S2). EKA-like avirulence proteins, six different CSEP families, kinases, WD40 domain proteins, ATP-dependent RNA helicases, mitochondrial carrier proteins and AAA ATPases comprise the protein families with the highest number of members in the Bgh proteome (Table 1). This outcome is largely consistent with the analysis of protein domains by InterProScan, which revealed that WD40 and kinase domains are amongst the most prevalent domains in Bgh proteins (Additional file 4: Table S3). WD40 domains exhibit a β-propeller architecture and are amongst the most abundant domains in eukaryotic organisms. They are typically involved in mediating protein-protein or protein-DNA interactions . Notably, seven of the 20 largest protein families appear to be, largely, Blumeria-specific. These include the EKA avirulence proteins and the six largest CSEP families (Table 1).
Predicted subcellular localization of Bghproteins
We performed an analysis of potential subcellular localization for the 6,495 conceptual Bgh proteins using ProtComp (Version 9.0), which combines several methods for prediction of protein localization (see Methods for details). In the context of our study we considered the outcome of “neural network analysis” and the “integral final score”, the latter condensing the results of four different prediction methods into a final mark. Both approaches yielded similar prediction profiles (Additional file 5: Figure S2), with consistent predictions of subcellular localization for 4,724 proteins and conflicting predictions for 1,771 proteins. Results of the ProtComp analysis further support a secretory pathway route for a subset of the known CSEPs and additional effector candidates, since 200 out of the 491 previously published CSEPs and 17 out of the 42 additional CSEPs proposed in the context of this work, were classified as “extracellular (secreted)” by both the neural network method and the integral final score (Additional file 1: Table S1, sheets “CSEPs” and “Additional effector candidates”).
A family of fungus-specific kinases is expanded in Bgh and Bgt
We noted the drastic expansion of a family of fungus-specific kinases in Bgh compared to other fungi (family 4, Table 1). This type of kinases appears to be largely restricted to the fungal clade of Leotiomyceta; outside of this taxonomic division only few kinases with low sequence similarity can be found (no BLAST hit with an E value <1e-20). Within the Leotiomyceta, the kinases appear to be most prevalent in pathogenic species representing different taxonomic classes, in particular phytopathogens, but also some facultative human and insect pathogens. By contrast, saprophytic fungi seem to either lack these kinases (for example Penicillium chrysogenum or S. cerevisiae) or only harbor single/few copies thereof (for example Aspergillus niger, Glarea lozoyensis or Neurospora crassa; Additional file 6: Table S4). Nevertheless, some phytopathogenic fungal species lack these kinases (for example Botryotinia fuckeliana, Colletotrichum higginsianum, Fusarium oxysprum, Magnaporthe oryzae and Marssonina brunnea), indicating that their presence is not a strict prerequisite for a pathogenic lifestyle. The presence/absence pattern of these proteins in fungal taxa suggests several independent losses of genes encoding this kinase type within the Leotiomyceta, concomitant with a convergent expansion of this gene family in a subset of pathogenic species. This notion is further supported by phylogenetic analysis of this protein family, which in most cases revealed species-/clade-specific grouping rather than paralog-specific clustering of the respective protein sequences (Figure 2). Such a phylogenetic pattern is indicative of species-specific expansions of the kinase family subsequent to fungal speciation events.
According to our sequence similarity database searches, the Bgh genome encompasses the highest number of genes encoding this kinase type (70 members), while the Bgt genome encodes 25 members of this protein family (Additional file 6: Table S4). The difference in the size of this kinase family between these two closely related formae speciales is striking and may relate to problems with genome annotation (see below). Alternatively, this finding could indicate that the kinase genes evolved differently in Bgh and Bgt. Notably, the genomes of the powdery mildews infecting dicotyledonous plant species, E. pisi and G. orontii, each seem to contain only one member of this kinase type (corresponding to Bgh CCU83175; E values 7e-13 and 1e-24, respectively; Additional file 1: Table S1, sheet “Fungus-specific kinase”). In Bgh, many members of the Bgh kinase family reside on comparatively small contigs of the current DH14 genome assembly (41 of the 70 contigs are <10 kb; http://www.blugen.org/). In most cases these contigs lack other genes (only 20 of the 70 contigs harbor one or more additional genes; http://www.blugen.org/). This scenario suggests that these genes are mostly localized/isolated within highly repetitive genomic regions that are difficult to assemble. The full-length sequences of these kinases are typically 500–1000 amino acids in length. Owing to the small size of the corresponding genomic contigs several members are N- and/or C-terminally truncated. Thus, the actual number of these kinases might be lower than indicated in Additional file 6: Table S4, since pairs of N- and C-terminally truncated proteins may represent the same protein.
The predicted kinase domain resides in the carboxy-terminal half of the proteins. Twenty-one of the 70 Bgh paralogs are annotated with InterProScan domain IPR008266 (Tyrosin protein kinase, active site; Additional file 1: Table S1, sheet “Fungus-specific kinase”), suggesting that these proteins possess tyrosine kinase activity. However, it is generally thought that fungi lost tyrosine kinases in the course of evolution [16, 17] and that only subgroups of the basidiomycetes encode kinases that are closely related to tyrosine kinases . Consistent with this belief, virtual structure prediction, via the protein fold recognition server Phyre2 (http://www.sbg.bio.ic.ac.uk/phyre2/html/page.cgi?id=index), revealed highest structural similarity of 27 of these kinases to the human serine/threonine kinase vaccinia-related kinase 1 (vrf1). The contradictory in silico predictions prevent, at present, the reliable classification of this kinase family regarding its substrate specificity; however, the lack of additional tyrosine kinase specific sequence motifs  rather suggests that these proteins may have no tyrosine kinase activity. Apart from the signatures mentioned above, no other known protein domains can be found in these kinases. Interestingly, the genome of the obligate biotrophic wheat rust pathogen (Puccinia graminis f.sp. tritici, a basidiomycete) encodes a family of kinases, comprised of 14 members, with similar protein size. These show distant sequence similarity to the presumptive Bgh kinase family (E values 1e-04 to 1e-20) and may represent the basidiomycete equivalent of the ascomycete pathogen-associated kinases. It remains to be seen whether these proteins are active kinases, what their substrates are and whether and how they contribute to pathogenic processes.
Bgh- and powdery mildew-specific proteins
We identified 1,072 Bgh proteins without significant NCBI BLASTP hits (E value ≥1e-06) except from hits to other Bgh proteins (Additional file 1: Table S1, sheet “Bgh BLAST hits only”). These include the 830 proteins without any considerable BLASTP hit mentioned above (Additional file 1: Table S1, sheet “No BLAST hit”) plus 224 EKA-like proteins and 18 proteins with solely Bgh-specific BLASTP hits. In total, the 1,072 proteins comprise 487 CSEPs, 231 EKA-like proteins and otherwise mainly unknown/hypothetical proteins. Only 77 of the 1,072 proteins contain an InterProScan domain, IPR016191 (ribonuclease/ribotoxin) being present 61-times, while all other domains occur only once or twice. This finding is consistent with the previous analysis of Bgh CSEPs, which uncovered unexpected affinities of a subset of this protein group to microbial ribonucleases . TBLASTN analysis reveals that 303 of the proteins are also encoded by the E. pisi genome (E value <1e-10), while 278 are encoded by the G. orontii genome (E value <1e-10) as well. In total, 266 proteins, the majority thereof EKA proteins but also including twelve CSEPs, are common to all three powdery mildews and thus seem to represent powdery mildew-specific proteins (Additional file 1: Table S1, sheet “Powdery mildew-specific proteins”). On the other hand, 709 proteins appear to be Blumeria/Bgh-specific proteins since recognizable orthologs (E value <1e-5) are absent in both E. pisi and G. orontii (Additional file 1: Table S1, sheet “Bgh-specific proteins”). These 709 Blumeria/Bgh-specific proteins include 445 of the previously described 491 CSEPs .
Proteins conserved in and specific to filamentous fungi
We recently found that the genomes of powdery mildew fungi lack a core set of 99 genes that are otherwise conserved in fungal species from yeasts to filamentous fungi . These and possibly further missing genes could be the molecular cause for the obligate biotrophic lifestyle of these parasites. We speculated that the actual number of “missing genes” in powdery mildews might be considerably higher, since we applied very strict criteria for the automated BLAST searches, which would exclude all borderline cases that could for example arise from the presence of similar domains in otherwise unrelated proteins. To obtain a first insight whether this hypothesis was correct, we analyzed the powdery mildew genomes for the presence of 37 fungal ortholog MCLs that were previously found to be present exclusively in a set of 25 analyzed genomes of filamentous fungi, but not in the genomes of seven tested unicellular fungi (yeasts; ). Of the 37 MCLs analyzed, eight (22%) were not represented in the Bgh genome (Table 2). Thus, the analysis of this diagnostic set of proteins that are otherwise conserved in and specific to filamentous fungi confirms our hypothesis that additional genes have been lost in the powdery mildews.
Proteins crucial for the formation of hyphal anastomoses
Hyphal anastomoses (somatic cell fusions during vegetative growth) are common in filamentous fungi. They are typically formed during colony expansion and contribute to the development of an extensive interconnected mycelium . Somatic fusion of fungal cells often occurs early during fungal development and involves dedicated conidial anastomosis tubes (CATs; ). Formation of anastomoses can take place within a fungal colony and between fungal colonies. In the case of genetically diverse colonies, the latter can result in a heterokaryon, i.e. the presence of genetically different nuclei in a common cytoplasm . Genetic analysis revealed a few factors that are required for anastomosis formation in the model ascomycete N. crassa. These encode transcription factors, components of signal transduction and proteins involved in vesicle trafficking and membrane fusion .
To our knowledge, formation of hyphal anastomoses has never been reported for powdery mildews, suggesting that these ascomycetes are incapable of developing this type of cell-cell connections. To find out whether the apparent inability to generate somatic cell fusions is correlated with the absence of genes known to be required for anastomosis formation, we analyzed the presence/absence of these genes in the powdery mildew genomes. We found that of the 24 genes analyzed, two (ada-3 and so/ham-1) were absent in the genomes of all three powdery mildew species (Bgh, E. pisi and G. orontii). By contrast, these two genes were present in the genomes of the closely related fungal species B. fuckeliana and S. sclerotiorum, which are both capable of forming hyphal anastomoses [22, 23]. In conclusion, these findings suggest that powdery mildews possibly lack the ability to form hyphal anastomoses owing to a lineage-specific loss of at least two genes coding for proteins that are essential for this process.
Analysis of protein families with prominent roles in fungal development, signaling and pathogenesis
To find out whether additional fungal pathways that are known to play important roles in fungal development, signaling and pathogenesis are affected by genes not present in Bgh, we conducted manual inspection of a number of key pathways, comprising heterotrimeric G protein signaling, mitogen-activated protein kinase (MAPK) signaling, cyclic adenosine monophosphate (cAMP) signaling, small G protein signaling, calcium signaling and transcription factors (TFs).
Heterotrimeric G protein signaling
G protein coupled receptors (GPCRs) are heptahelical cell surface receptors that, upon extracellular binding of a cognate ligand, initiate intracellular signal transduction pathways via heterotrimeric G proteins. In fungi, GPCRs sense diverse extracellular signals including: pheromones, carbohydrates, amino acids, nitrogen sources and photons [24, 25]. Together with the associated downstream heterotrimeric G protein signaling complex they engage in essential functions during growth, asexual and sexual development and virulence in the case of pathogenic fungi. In contrast to mammals, where GPCRs form a large and sequence-diversified family with several hundred members per species , most fungal genomes encode few GPCR proteins (often less than ten) and a limited set of heterotrimeric G protein components (typically three Gα subunits, one Gβ and one Gγ subunit; [24, 25]. Notably, species of the ascomycete subphylum Pezizomycotina encode a type of GPCR (PTH11) not found in other fungal groups. This type of GPCR is present as an expanded family of 61 members in the phytopathogen M. grisea. Regulator of G protein signaling (RGS) proteins control the activity of Gα subunits , while phosducin proteins regulate Gβγ subunits, possibly by serving as chaperones . Therefore these two types of proteins represent important rheostats of G protein signaling pathways.
We mined the Bgh genome for the presence of genes coding for heterotrimeric G protein subunits, GPCRs, RGS and phosducin proteins. We identified the archetypal set of heterotrimeric G protein components (three Gα subunits, one Gβ and one Gγ subunit), GPCRs (eight canonical GPCRs, including: putative pheromone, carbohydrate, nitrogen, cAMP and light receptors) and as well as five RGS and two phosducin proteins (Figure 3; Additional file 7: Table S5, sheet “GPCRs-heterotrimeric G proteins”). We identified one additional Bgh gene (besides the one encoding the regular Gβ protein) that encodes a protein harboring InterProScan domain IPR001632 (G protein beta WD40 repeat; CCU74556). This domain is characteristic of Gβ subunits; however, it still remains to be seen whether the respective protein, which is also encoded in the genomes of many other ascomycetes, has an authentic role in heterotrimeric G protein signaling. While three of the five predicted RGS proteins are well-conserved in other fungi (CCU76565, CCU75320, plus one corresponding to yeast Sst2, which is split on two genomic contigs and thus no GenBank accession number available), the other two (CCU82385, CCU82752) show limited sequence conservation and thus represent less common or less preserved types of RGS. The domain architecture of CCU75320 resembles human RGS-PX1, a presumably bifunctional protein in which the RGS domain is associated with sorting nexin features, thereby possibly linking G protein regulation to vesicular trafficking . The genomes of many ascomycetes and higher plants encode a protein representing a presumed translational fusion of a GPCR with an RGS protein (Aspergillus nidulans GprK being the fungal prototype; [24, 29, 30]). Such a gene is absent in Bgh, but also missing in the genomes of B. cinerea and S. sclerotiorum, suggesting that this gene might have been lost in the lineage of the Leotiomycetes. Besides the eight canonical GPCRs, we found five additional high confidence GPCR candidate gene products based on the presence of characteristic InterProScan domains (including one homolog of M. grisea PTH11). Moreover, we identified twelve genes encoding proteins that, according to their predicted transmembrane topology and lack of homology to characterized proteins, may also represent GPCRs (Figure 3; Additional file 7: Table S5, sheet “GPCRs-heterotrimeric G proteins”). Either way, the number of GPCRs in Bgh seems to be considerably smaller than the extended GPCR complement found in the hemibiotrophic phytopathogen M. grisea.
Mitogen activated kinases (MAPKs) are highly conserved eukaryotic protein kinases. They typically function in modules of three-tiered signaling cascades, in which MAPKs are phosphorylated and activated by MAPK-kinases (MAPKKs), which in turn are phosphorylated and activated by MAPKK-kinases (MAPKKKs). MAPKKKs are connected to cell surface sensors via small monomeric GTPases and/or other upstream protein kinases. MAPK signaling is required for appressorium formation in several phytopathogenic and entomopathogenic fungi [31–35]. Analysis of the Bgh proteome revealed the presence of four canonical MAPKKKs (CCU75550, CCU77369, CCU78411 and CCU82598,), three prototypical MAPKKs (CCU75305, CCU76709 and CCU81577) and three archetypal MAPKs (CCU74295, CCU75807 and CCU82891; Additional file 7: Table S5, sheet “MAP kinases”). These proteins harbor characteristic kinase domains (for example PTHR24355, PTHR24360, PTHR24361 or IPR003527), and comprise presumptive orthologs of key MAP(K/K)Ks that are known to have important roles in fungal signaling and development (Figure 4; ). In addition to these classical MAP(K/K)Ks, the presence of distinctive protein domains suggests five additional MAPKKKs and three further MAPKs in Bgh. However, some of these proteins appear to be kinases acting upstream of MAPK modules (for example CCU77522 and CCU83089, corresponding to yeast Cla4 and Ste20, respectively) or kinases that have sequence similarity to MAPKKKs/MAPKs, but may not necessarily exert this function.
Based on the compilation of , we also studied the presence/absence of genes that encode proteins known to act upstream or downstream of MAP(K/K)K signaling. All signaling components typically present in filamentous fungi were found to be present. These include some known upstream kinases (corresponding to yeast Ste20, Cla4, Pkc1 and Ssk1) and downstream transcription factors (corresponding to yeast Mcm1, Sko1, Ste12 and Swi4/Swi6). Thus, the canonical MAPK signaling pathways as found in yeast appear to be complete in Bgh (Figure 4). The additionally identified MAPKKK and MAPK candidates leave, however, room for combinatorial modifications of the existing cascades or novel types of MAPK modules.
Two of the three canonical Bgh MAPKs identified by our genome-wide search (CCU75807 and CCU82891; corresponding to MAPK-I and MAPK-II, respectively) have been previously described and analyzed . Another experimental study revealed a rapid transient increase in MAPK activity during early development of Bgh sporelings (appressorial germ tube formation and differentiation of appressoria) on cellulose membrane. In addition, exogenous application of activators of MAPK signaling (sphingosine and PAF-16) promoted fungal development on this artificial surface, while a MAPK inhibitor (PD 98095) had the opposite effect . Thus, similar to other phytopathogens [31, 33, 40, 41], MAPK signaling in Bgh appears to play a role in the differentiation of key infection structures.
The cAMP pathway is a highly conserved central node of fungal development and virulence. It is responsive to nutrient and oxidative stress and regulates growth, cell cycle and pathogenesis in fungi [42–45]. The pathway is essentially comprised of adenylate cyclase, which forms cyclic AMP (cAMP) from ATP and is activated by stress-responsive upstream components, and protein kinase A (PKA), which acts as a heterotetramer composed of two catalytic subunits and two cAMP-binding regulatory subunits. PKA activates, in turn, transcriptional regulators that control expression of stress-responsive and cell cycle-associated genes (Figure 5). In our analysis we found that Bgh possesses all components involved in cAMP signaling, i.e. adenylate cyclase (CCU76253), an adenylate cyclase-associated protein (CCU82809), three types of catalytic PKA subunits (CCU79627, CCU82108 and CCU75464) and one regulatory PKA subunit (CCU82360), as well as two cyclic nucleotide phosphodiesterases (CCU82746 and CCU80431), which convert cAMP back to its non-cyclic form. Additionally, genes encoding several known downstream targets of PKA, such as Ste12/SteA (a transcription factor involved in fungal sexual reproduction; CCU76030), SFL1 (a flocculation suppression protein; CCU81131) and Rim101/PAC1 (a pH-responsive transcription factor; CCU80343) are also represented in the Bgh genome. Accordingly, the cAMP pathway seems to be complete in Bgh (Figure 5).
The findings from our in silico genomic analysis are consistent with previous experimental studies, which support a role for cAMP signaling in Bgh pathogenesis. For example, a rise in Bgh cAMP levels correlates with conidial differentiation on the host surface, while cAMP levels remain unaltered on a non-inductive glass surface . Moreover, exogenous application of cAMP analogs and pharmacological stimulation and inhibition of PKA further support a role for cAMP signaling in conidial differentiation and appressorial development in Bgh[39, 47, 48].
Small monomeric GTPase signaling
Members of the small monomeric GTPase superfamily play crucial roles in many cellular processes, including: signaling, endomembrane trafficking, cell cycle regulation and protein transport through the nuclear pore complex . In Bgh, we found 33 small GTPases, belonging to the canonical Ras-, Ras-like-, Rab-, Ran-, and Rho-families, and 6 Arf-type GTPases (Additional file 7: Table S5, sheet “Small monomeric GTPases”). None of the families shows abnormalities concerning number of members or presence/absence of essential small GTPases. Furthermore, three mitochondrial small GTPases were found in the Bgh genome. Two of these belong to the Ras superfamily, whereas the other one corresponds to the Rho-type GTPase Miro1/2 (Gem1p in yeast; Bgh CCU80313), a calcium-dependent mitochondrial GTPase ubiquitously present in eukaryotes . As described for Gem1p, Bgh Miro1/2 harbors two predicted GTPase domains and EF-hand like calcium binding domains. Numerous genes coding for corresponding GTPase activating proteins (GAP) and Guanine nucleotide exchange factors (GEF) are present in the Bgh genome. Bgh possesses 26 GAPs and 5 ArfGAPs, the latter being involved in vesicle fusion and fission, 16 GEFs, and 4 ArfGEFs (Additional file 7: Table S5, sheet “Small monomeric GTPases”). Taken together, all canonical small GTPase families are represented in the Bgh genome.
The secondary messenger calcium (Ca2+) is involved in the regulation of a variety of cellular processes in eukaryotes. In filamentous fungi, Ca2+--mediated signal transduction is linked to responses to environmental stress as well as the regulation of fungal development including: spore germination, appressorium formation, polar growth, hyphal branching and sporulation (reviewed in [37, 51]). The perception of extracellular signals results in a transient increase in the cellular concentration of free Ca2+, often mediated via activation of phospholipase C (PLC) by GPCRs. PLC subsequently hydrolyses the membrane phospholipid PIP2 to form IP3 and diacylglycerol (DAG), two secondary messengers that initiate Ca2+ fluxes from the ER, vacuole and extracellular space. The resulting increase of cytoplasmic Ca2+ concentration is a prerequisite for activation of a number of diverse downstream signaling components for example kinases, including protein kinase C (PKC), Ca2+/calmodulin and (CaM)-dependent kinases (CCaMKs). The tight regulation of cytosolic Ca2+ concentration requires the activity of several cellular components (Figure 6; [51, 52]).
In resting eukaryotic cells, the intracellular Ca2+ concentration is maintained at a remarkably low level and increases upon extracellular cues due to the activity of Ca2+ pumps and transporters located in the plasma membrane (PM), ER membrane or the tonoplast . In Bgh we found putative homologs for most proteins known or predicted to be involved in transmembrane Ca2+ transport, including: Ca2+ channels (Yvc1, Cch1/Mid1), ATPases (Spf1, SERCA-like, Pmr1, Pmc1) and Na2+/Ca2+ exchangers (Vnx1, Ecm27) (Figure 6, Additional file 7: Table S5, sheet “Calcium signaling”; [52, 53]). However, no obvious homolog could be identified for the plasma membrane-resident yeast Ca2+ P-type ATPase Ena2, which is conserved in N. crassa and M. oryzae and in the latter critical for appressorium formation . On the other hand, an additional putative Ca2+ ATPase not present in yeast was identified (CCU78880). This protein is related to the endoplasmic/sarcoplasmic Ca2+P-type ATPases IIa of the SERCA type, which is conserved in M. oryzae and N. crassa and involved in virulence of the human pathogenic basidiomycete Cryptococcus neoformans. Ca2+ ion fluxes from the environment or intracellular organelles precede the binding of Ca2+ to calmodulin (CaM/calcium-modulated protein), which transduces Ca2+ signatures by Ca2+-mediated interactions with various target proteins. CaM is present in all eukaryotes and usually highly conserved. Interestingly, we found a relatively low degree of CaM conservation between yeast and Bgh (60% amino acid identity, E value 2e-58). The best BLAST hit for Bgh CaM (CCU82138) is found in Metarhizium robertsii, an entomopathogenic, insect-infecting ascomycete (99% amino acid identity, E value 3e-94, EXV03624).
Subsequently, CaM interacts with and activates a variety of downstream acting proteins including calcineurin (Cn), a protein phosphatase that controls morphogenesis and stress responses in eukaryotes. Fungal pathogens have adopted the calcineurin pathway to survive and effectively propagate within the host (reviewed in [37, 51]). Calcineurin is formed by a heterodimer of a catalytic subunit (CnA) and a regulatory subunit (CnB) and is further regulated by calcipressin (Cp), which in yeast is represented by the Calcipressin-1 Rcn1p that is not conserved in Bgh. However, BLAST searches with mammalian Cp-2 and Cp-3 family members as query identified the Bgh protein CCU74958 as a possible candidate for calcipressin, albeit with low amino acid identity (ca. 38% to human calcipressin isoforms). In accordance with this finding, InterProScan predicts the calcipressin motif IPR006931 for the Bgh protein. In yeast, active calcineurin dephosphorylates the transcription factor Crz1, which subsequently enters the nucleus . Nuclear Crz1 binds to calcineurin-dependent response elements (CDRE) and activates its own transcription as well as target genes linked to cell wall synthesis and Ca2+ homeostasis including: Pmr1, Pmc1, Cch1, Ena1 .
Transcription factors (TFs) are essential components in signal transduction, linking signal flow to transcriptional output. They are thus crucial mediators in fungal development and pathogenesis. Fungi contain dozens of TF families, including some seemingly fungus-specific types of TF families . We inspected the meta-analysis data of TFs provided by the Fungal Transcription Factor Database (FTFD; http://ftfd.snu.ac.kr/index.php?a=view; ) and compared the results of the semi-automated classification provided in this database to respective data sets from the closely related species B. cinerea and S. sclerotiorum. According to this analysis, which is based on 5,473 open reading frames, the Bgh genome encodes 240 TFs that can be classified into 36 families, representing ca. 4.4% of the Bgh ORFs (Additional file 7: Table S5 (sheet “Transcription factors”). These numbers compare to 454 TFs (43 families; 2.8%) in B. cinerea and 648 TFs (44 families; ca. 4.5%) in S. sclerotiorum, respectively. The overall average for the ratio of transcription factors to all ORFs for fungi in the FTFD database is 4.6% (on the basis of 178 fungal species/strains), indicating that the relative number of TFs in Bgh is in the common range (Additional file 7: Table S5 (sheet “Transcription factors”). Although the FTFD database indicates that some TF families might be absent in Bgh (including: Forkhead TFs, GATA-type zinc finger TFs, Homoeobox TFs, MADS box TFs, negative transcriptional regulators and BED-type zinc finger TFs), manual inspection revealed that members of most of these families are in fact encoded by the Bgh genome and were possibly excluded or ignored by the automated FTFD classification pipeline. Exceptions are the negative transcriptional regulators - a class of TFs that seems indeed to be absent in Bgh. The prototype of this family is NmrA, a negative transcriptional regulator involved in metabolite (for example nitrogen) repression in various fungi, including N. crassa and A. nidulans. Since Bgh, as a highly host-adapted obligate biotrophic pathogen, does not rely on alternative nitrogen sources, such regulatory circuits might be dispensable.
Our study reports basic characteristics of the Bgh genome (Figure 1, Table 1, Additional file 1: Table S1). Apart from the largest protein families, which revealed Bgh-specific attributes (CSEPs and EKAs), most features are comparable to other fungal genomes. However, consistent with our hypothesis that the list of missing genes in Bgh might be incomplete, our analysis uncovered a number of protein coding genes lacking in Bgh compared to other (filamentous) fungi. These include: proteins, specific to filamentous fungi (Table 2), which are required for anastomosis formation, negative transcriptional regulators and individual components in common signaling pathways. By contrast, all main components of major signal transduction pathways (heterotrimeric G protein signaling, MAPK signaling, cAMP signaling, Ca2+ signaling, small GTPases) are present, suggesting that these pathways are functional in Bgh (Figures 3, 4, 5 and 6). We identified a set of powdery mildew- and Bgh-specific genes and found that a family of pathogenesis-related kinases with unknown kinase specificity is unusually expanded in Bgh (Figure 2, Additional file 6: Table S4). The functional relevance of these kinases for the Bgh life cycle remains to be discovered.
The 6,470 protein sequences deduced from the annotated Bgh isolate DH14 genome (v3.0) (http://www.blugen.org/) form the basis of this study. This core protein set was supplemented with 25 additional proteins that were annotated in the course of this analysis. GenBank accession numbers of all proteins can be found in Additional file 1: Table S1, except for the Ste3-like GPCR, which is missing in the genome assembly of isolate DH14. The latter protein sequence was deduced from the transcriptome of Bgh isolates A6 and K1 . The EBI/GenBank accession numbers for 24 out of the 25 newly annotated sequences are CEA17182-CEA17205 (note that for the Ste3-like GPCR there is no accession number since the gene is missing in the genome assembly of isolate DH14).
BLAST2GO analysis and BLAST searches
BLAST2GO (http://www.blast2go.com/b2ghome/about-blast2go) analysis [60, 61] was conducted in July 2013 using standard parameters (BLAST threshold set to 1e-06). Bgh BLAST searches were performed against the genomic assembly of Bgh isolate DH14  and the transcriptome assemblies of Bgh isolates A6 and K1 . BLAST searches against the genomes of E. pisi and G. orontii were performed on the basis of genomic draft assemblies (http://www.mpipz.mpg.de/23693/Powdery_Mildews) .
Signal peptides and transmembrane domains
Prediction of signal peptides for secretion was performed with SignalP4.1 (http://www.cbs.dtu.dk/services/SignalP/; ), the presence of transmembrane domains was analyzed with TMHMM2.0 (http://www.cbs.dtu.dk/services/TMHMM/;) and TOPCONS (http://topcons.cbr.su.se/; ).
Markov clustering of Bghproteins
A BLASTP  search was performed with each Bgh protein against the database containing all Bgh proteins, retaining all hits with an E value ≤ 1e-10. The results were converted into an abc file as input for the Markov clustering algorithm mcl (http://www.micans.org/mcl)  so that sequence similarities could be used as the basis for clustering. The inflation parameter 2 resulted in 4377 protein families. All data conversions and final data summaries were implemented in Perl scripts.
Subcellular localization of proteins was inferred by ProtComp (Version 9, http://linux1.softberry.com). The resulting files were parsed with a Perl script. In cases where the neural net prediction was the same as reported with the highest integral score, the predicted location was assigned to the protein.
Analysis of proteins conserved in, and specific to, filamentous fungi
Based on the MCL designations listed in the study by  we selected query protein sequences from the NCBI database to interrogate (local BLASTP and TBLASTN searches) the presence of genes encoding these proteins in the Bgh genome. In cases where BLAST results were inconclusive, manual inspection for the presence of informative domains via InterProScan was performed.
Fungal signaling pathways
We analyzed prominent fungal signaling pathways in Bgh, including: heterotrimeric G proteins/GPCR, MAPKs, cAMP signaling, small monomeric GTPases and Ca2+ signaling, by performing sequence similarity searches. Query sequences were selected from other ascomycetes (for example S. cerevisiae, S. pombe, N. crassa, C. neoformans, and M. oryzae) on the basis of literature data [24, 37, 42, 52, 53, 68]. Putative Bgh orthologs of the query sequences were typically verified by reciprocal BLAST analysis and in many instances further corroborated by the presence of informative protein domains identified via InterProScan analysis. Additional GPCR candidates were identified by manual inspection of proteins with six to eight predicted transmembrane domains based on TMHMM2.0 and TOPCONS analysis (see Additional file 7: Table S5, sheet “GPCRs-heterotrimeric G proteins”).
Availability of supporting data
The data sets supporting the results of this article are included within the article and its additional files.
- Bgh :
Blumeria graminis f.sp. hordei
- Bgt :
Blumeria graminis f.sp. tritici
Candidate Secreted Effector Protein
Effector with similarity to AVRK1 and AVRA10
G protein coupled receptor
Mitogen-activated protein kinase
Glawe DA: The powdery mildews. A review of the world’s most familiar (yet poorly known) plant pathogens. Annu Rev Phytopathol. 2008, 46: 27-51. 10.1146/annurev.phyto.46.081407.104740.
Dean R, van Kan JAL, Pretorius ZA, Hammond-Kosack KE, Di Pietro A, Spanu PD, Rudd JJ, Dickman M, Kahmann R, Ellis J, Foster GD: The top 10 fungal pathogens in molecular plant pathology. Mol Plant Pathol. 2012, 13: 414-430. 10.1111/j.1364-3703.2011.00783.x.
Spanu PD, Abbott JC, Amselem J, Burgis TA, Soanes DM, Stüber K, van Themaat EVL, Brown JKM, Butcher SA, Gurr SJ, Lebrun MH, 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, et al: Genome expansion and gene loss in powdery mildew fungi reveal tradeoffs in extreme parasitism. Science. 2010, 330: 1543-1546. 10.1126/science.1194573.
Wicker T, Oberhaensli S, Parlange F, Buchmann JP, Shatalina M, Roffler S, Ben-David R, Doležel J, Simková H, Schulze-Lefert P, Spanu PD, Bruggmann R, Amselem J, Quesneville H, van Themaat EVL, Paape T, Shimizu KK, Keller B: The wheat powdery mildew genome shows the unique evolution of an obligate biotroph. Nat Genet. 2013, 45: 1092-1096. 10.1038/ng.2704.
Hacquard S, Kracher B, Maekawa T, Vernaldi S, Schulze-Lefert P, Ver Loren van Themaat E: Mosaic genome structure of the barley powdery mildew pathogen and conservation of transcriptional programs in divergent hosts. Proc Natl Acad Sci U S A. 2013, 110: E2219-28. 10.1073/pnas.1306807110.
Schmidt SM, Panstruga R: Pathogenomics of fungal plant parasites: what have we learnt about pathogenesis?. Curr Opin Plant Biol. 2011, 14: 392-399. 10.1016/j.pbi.2011.03.006.
Pedersen C, Ver Loren van Themaat E, McGuffin LJ, Abbott JC, Burgis TA, Barton G, Bindschedler LV, Lu X, Maekawa T, Weßling R, Cramer R, Thordal-Christensen H, Panstruga R, Spanu PD: Structure and evolution of barley powdery mildew effector candidates. BMC Genomics. 2012, 13: 694-10.1186/1471-2164-13-694.
Zhang W, Pedersen C, Kwaaitaal M, Gregersen PL, Mørch SM, Hanisch S, Kristensen A, Fuglsang AT, Collinge DB, Thordal-Christensen H: Interaction of barley powdery mildew effector candidate CSEP0055 with the defence protein PR17c. Mol Plant Pathol. 2012, 13: 1110-1119. 10.1111/j.1364-3703.2012.00820.x.
Schmidt SM, Kuhn H, Micali C, Liller C, Kwaaitaal M, Panstruga R: Interaction of a Blumeria graminis f. sp. hordei effector candidate with a barley ARF-GAP suggests that host vesicle trafficking is a fungal pathogenicity target. Mol Plant Pathol. 2014, 15: 535-549. 10.1111/mpp.12110.
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.
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.
Tiessen A, Pérez-Rodríguez P, Delaye-Arredondo LJ: Mathematical modeling and comparison of protein size distribution in different plant, animal, fungal and microbial species reveals a negative correlation between protein size and protein number, thus providing insight into the evolution of proteomes. BMC Res Notes. 2012, 5: 85-10.1186/1756-0500-5-85.
Kumar A, Agarwal S, Heyman JA, Matson S, Heidtman M, Piccirillo S, Umansky L, Drawid A, Jansen R, Liu Y, Cheung KH, Miller P, Gerstein M, Roeder GS, Snyder M: Subcellular localization of the yeast proteome. Genes Dev. 2002, 16: 707-719. 10.1101/gad.970902.
Choi J, Park J, Kim D, Jung K, Kang S, Lee YH: Fungal secretome database: integrated platform for annotation of fungal secretomes. BMC Genomics. 2010, 11: 105-10.1186/1471-2164-11-105.
Xu C, Min J: Structure and function of WD40 domain proteins. Protein Cell. 2011, 2: 202-214. 10.1007/s13238-011-1018-1.
Suga H, Dacre M, de Mendoza A, Shalchian-Tabrizi K, Manning G, Ruiz-Trillo I: Genomic survey of premetazoans shows deep conservation of cytoplasmic tyrosine kinases and multiple radiations of receptor tyrosine kinases. Sci Signal. 2012, 5: ra35-10.1126/scisignal.2002733.
Zhao Z, Jin Q, Xu J, Liu H: Identification of a fungi-specific lineage of protein kinases closely related to tyrosine kinases. PLoS ONE. 2014, 9: e89813-10.1371/journal.pone.0089813.
Soanes DM, Alam I, Cornell M, Wong HM, Hedeler C, Paton NW, Rattray M, Hubbard SJ, Oliver SG, Talbot NJ: Comparative genome analysis of filamentous fungi reveals gene family expansions associated with fungal pathogenesis. PLoS ONE. 2008, 3: e2300-10.1371/journal.pone.0002300.
Glass NL, Jacobson DJ, Shiu PK: The genetics of hyphal fusion and vegetative incompatibility in filamentous ascomycete fungi. Annu Rev Genet. 2000, 34: 165-186. 10.1146/annurev.genet.34.1.165.
Read ND, Lichius A, Shoji J, Goryachev AB: Self-signalling and self-fusion in filamentous fungi. Curr Opin Microbiol. 2009, 12: 608-615. 10.1016/j.mib.2009.09.008.
Fu C, Iyer P, Herkal A, Abdullah J, Stout A, Free SJ: Identification and characterization of genes required for cell-to-cell fusion in Neurospora crassa. Eukaryot Cell. 2011, 10: 1100-1109. 10.1128/EC.05003-11.
Kohn LM, Carbone I, Anderson JB: Mycelial interactions in Sclerotinia sclerotiorum. Exp Mycol. 1990, 14: 255-267. 10.1016/0147-5975(90)90023-M.
Roca MG, Weichert M, Siegmund U, Tudzynski P, Fleissner A: Germling fusion via conidial anastomosis tubes in the grey mould Botrytis cinerea requires NADPH oxidase activity. Fungal Biol. 2012, 116: 379-387. 10.1016/j.funbio.2011.12.007.
Li L, Wright SJ, Krystofova S, Park G, Borkovich KA: Heterotrimeric G protein signaling in filamentous fungi. Annu Rev Microbiol. 2007, 61: 423-452. 10.1146/annurev.micro.61.080706.093432.
Xue C, Hsueh Y, Heitman J: Magnificent seven: roles of G protein-coupled receptors in extracellular sensing in fungi. FEMS Microbiol Lett. 2008, 32: 1010-1032. 10.1111/j.1574-6976.2008.00131.x.
Bjarnadóttir TK, Gloriam DE, Hellstrand SH, Kristiansson H, Fredriksson R, Schiöth HB: Comprehensive repertoire and phylogenetic analysis of the G protein-coupled receptors in human and mouse. Genomics. 2006, 88: 263-273. 10.1016/j.ygeno.2006.04.001.
Kulkarni RD, Thon MR, Pan H, Dean RA: Novel G-protein-coupled receptor-like proteins in the plant pathogenic fungus Magnaporthe grisea. Genome Biol. 2005, 6: R24-10.1186/gb-2005-6-3-r24.
Zheng B, Ma YC, Ostrom RS, Lavoie C, Gill GN, Insel PA, Huang XY, Farquhar MG: RGS-PX1, a GAP for GαS and sorting nexin in vesicular trafficking. Science. 2001, 294: 1939-1942. 10.1126/science.1064757.
Yu J: Heterotrimeric G protein signaling and RGSs in Aspergillus nidulans. J Microbiol (Journal of Microbiology). 2006, 44: 145-154.
Chen JG, Willard FS, Huang J, Liang JS, Chasse SA, Jones AM, Siderovski DP: A seven-transmembrane RGS protein that modulates plant cell proliferation. Science. 2003, 301: 1728-1731. 10.1126/science.1087790.
Ruiz-Roldán MC, Maier FJ, Schäfer W: PTK1, a mitogen-activated-protein kinase gene, is required for conidiation, appressorium formation, and pathogenicity of Pyrenophora teres on barley. Mol Plant Microbe Interact. 2001, 14: 116-125. 10.1094/MPMI.2001.14.2.116.
Thines E, Weber RW, Talbot NJ: MAP kinase and protein kinase A-dependent mobilization of triacylglycerol and glycogen during appressorium turgor generation by Magnaporthe grisea. Plant Cell. 2000, 12: 1703-1718.
Kojima K, Kikuchi T, Takano Y, Oshiro E, Okuno T: The mitogen-activated protein kinase gene MAF1 is essential for the early differentiation phase of appressorium formation in Colletotrichum lagenarium. Mol Plant Microbe Interact. 2002, 15: 1268-1276. 10.1094/MPMI.2002.15.12.1268.
Zhang Y, Zhang J, Jiang X, Wang G, Luo Z, Fan Y, Wu Z, Pei Y: Requirement of a mitogen-activated protein kinase for appressorium formation and penetration of insect cuticle by the entomopathogenic fungus Beauveria bassiana. Appl Environ Microbiol. 2010, 76: 2262-2270. 10.1128/AEM.02246-09.
Jin K, Han L, Xia Y: MaMk1, a FUS3/KSS1-type mitogen-activated protein kinase gene, is required for appressorium formation, and insect cuticle penetration of the entomopathogenic fungus Metarhizium acridum. J Invertebr Pathol. 2014, 115: 68-75.
Gustin MC, Albertyn J, Alexander M, Davenport K: MAP kinase pathways in the yeast Saccharomyces cerevisiae. Microbiol Mol Biol Rev. 1998, 62: 1264-1300.
Rispail N, Soanes DM, Ant C, Czajkowski R, Grünler A, Huguet R, Perez-Nadales E, Poli A, Sartorel E, Valiante V, Yang M, Beffa R, Brakhage AA, Gow NAR, Kahmann R, Lebrun M, Lenasi H, Perez-Martin J, Talbot NJ, Wendland J, Di Pietro A: Comparative genomics of MAP kinase and calcium-calcineurin signalling components in plant and human pathogenic fungi. Fungal Genet Biol. 2009, 46: 287-298. 10.1016/j.fgb.2009.01.002.
Zhang ZG, Gurr SJ: Expression and sequence analysis of the Blumeria graminis mitogen-activated protein kinase genes, mpk1 and mpk2. Gene. 2001, 266: 57-65. 10.1016/S0378-1119(01)00381-X.
Kinane J, Oliver RP: Evidence that the appressorial development in barley powdery mildew is controlled by MAP kinase activity in conjunction with the cAMP pathway. Fungal Genet Biol. 2003, 39: 94-102. 10.1016/S1087-1845(02)00587-X.
Jin Q, Li C, Li Y, Shang J, Li D, Chen B, Dong H: Complexity of roles and regulation of the PMK1-MAPK pathway in mycelium development, conidiation and appressorium formation in Magnaporthe oryzae. Gene Expr Patterns. 2013, 13: 133-141. 10.1016/j.gep.2013.02.003.
Cousin A, Mehrabi R, Guilleroux M, Dufresne M, van der Lee T, Waalwijk C, Langin T, Kema GHJ: The MAP kinase-encoding gene MgFus3 of the non-appressorium phytopathogen Mycosphaerella graminicola is required for penetration and in vitro pycnidia formation. Mol Plant Pathol. 2006, 7: 269-278. 10.1111/j.1364-3703.2006.00337.x.
Fuller KK, Rhodes JC: Protein kinase A and fungal virulence: a sinister side to a conserved nutrient sensing pathway. Virulence. 2012, 3: 109-121. 10.4161/viru.19396.
McDonough KA, Rodriguez A: The myriad roles of cyclic AMP in microbial pathogens: from signal to sword. Nat Rev Microbiol. 2012, 10: 27-38.
Lee N, D’Souza CA, Kronstad JW: Of smuts, blasts, mildews, and blights: cAMP signaling in phytopathogenic fungi. Annu Rev Phytopathol. 2003, 41: 399-427. 10.1146/annurev.phyto.41.052002.095728.
D’Souza CA, Heitman J: Conserved cAMP signaling cascades regulate fungal development and virulence. FEMS Microbiol Rev. 2001, 25: 349-364. 10.1111/j.1574-6976.2001.tb00582.x.
Hall AA, Gurr SJ: Initiation of appressorial germ tube differentiation and appressorial hooking: distinct morphological events regulated by cAMP signalling in Blumeria graminis f.sp. hordei. Physiol Mol Plant Pathol. 2000, 56: 39-46. 10.1006/pmpp.1999.0246.
Hall AA, Bindslev L, Rouster J, Rasmussen SW, Oliver RP, Gurr SJ: Involvement of cAMP and protein kinase A in conidial differentiation by Erysiphe graminis f. sp. hordei. Mol Plant-Microbe Interact. 1999, 12: 960-968. 10.1094/MPMI.19126.96.36.1990.
Kinane J, Dalvin S, Bindslev L, Hall A, Gurr S, Oliver R: Evidence that the cAMP pathway controls emergence of both primary and appressorial germ tubes of barley powdery mildew. Mol Plant-Microbe Interact. 2000, 13: 494-502. 10.1094/MPMI.2000.13.5.494.
ten Klooster JP, Hordijk PL: Targeting and localized signalling by small GTPases. Biol Cell. 2007, 99: 1-12. 10.1042/BC20060071.
Frederick RL, McCaffery JM, Cunningham KW, Okamoto K, Shaw JM: Yeast Miro GTPase, Gem1p, regulates mitochondrial morphology via a novel pathway. J Cell Biol. 2004, 167: 87-98. 10.1083/jcb.200405100.
Chen Y, Kozubowski L, Cardenas ME, Heitman J: On the roles of calcineurin in fungal growth and pathogenesis. Curr Fungal Infect Rep. 2010, 4: 244-255. 10.1007/s12281-010-0027-5.
Nguyen QB, Kadotani N, Kasahara S, Tosa Y, Mayama S, Nakayashiki H: Systematic functional analysis of calcium-signalling proteins in the genome of the rice-blast fungus, Magnaporthe oryzae, using a high-throughput RNA-silencing system. Mol Microbiol. 2008, 68: 1348-1365. 10.1111/j.1365-2958.2008.06242.x.
Zelter A, Bencina M, Bowman BJ, Yarden O, Read ND: A comparative genomic analysis of the calcium signaling machinery in Neurospora crassa, Magnaporthe grisea, and Saccharomyces cerevisiae. Fungal Genet Biol. 2004, 41: 827-841. 10.1016/j.fgb.2004.05.001.
Fan W, Idnurm A, Breger J, Mylonakis E, Heitman J: Eca1, a sarcoplasmic/endoplasmic reticulum Ca2+-ATPase, is involved in stress tolerance and virulence in Cryptococcus neoformans. Infect Immun. 2007, 75: 3394-3405. 10.1128/IAI.01977-06.
Stathopoulos-Gerontides A, Guo JJ, Cyert MS: Yeast calcineurin regulates nuclear localization of the Crz1p transcription factor through dephosphorylation. Genes Dev. 1999, 13: 798-803. 10.1101/gad.13.7.798.
Yoshimoto H, Saltsman K, Gasch AP, Li HX, Ogawa N, Botstein D, Brown PO, Cyert MS: Genome-wide analysis of gene expression regulated by the calcineurin/Crz1p signaling pathway in Saccharomyces cerevisiae. J Biol Chem. 2002, 277: 31079-31088. 10.1074/jbc.M202718200.
Shelest E: Transcription factors in fungi. FEMS Microbiol Lett. 2008, 286: 145-151. 10.1111/j.1574-6968.2008.01293.x.
Park J, Park J, Jang S, Kim S, Kong S, Choi J, Ahn K, Kim J, Lee S, Kim S, Park B, Jung K, Kim S, Kang S, Lee Y: FTFD: an informatics pipeline supporting phylogenomic analysis of fungal transcription factors. Bioinformatics. 2008, 24: 1024-1025. 10.1093/bioinformatics/btn058.
Andrianopoulos A, Kourambas S, Sharp JA, Davis MA, Hynes MJ: Characterization of the Aspergillus nidulans nmrA gene involved in nitrogen metabolite repression. J Bacteriol. 1998, 180: 1973-1977.
Götz S, García-Gómez JM, Terol J, Williams TD, Nagaraj SH, Nueda MJ, Robles M, Talón M, Dopazo J, Conesa A: High-throughput functional annotation and data mining with the Blast2GO suite. Nucleic Acids Res. 2008, 36: 3420-3435. 10.1093/nar/gkn176.
Conesa A, Götz S, Garcia-Gomez JM, Terol J, Talon M, Robles M: Blast2GO: a universal tool for annotation, visualization and analysis in functional genomics research. Bioinformatics. 2005, 21: 3674-3676. 10.1093/bioinformatics/bti610.
Maekawa T, Kracher B, Vernaldi S, Ver Loren van Themaat E, Schulze-Lefert P: Conservation of NLR-triggered immunity across plant lineages. Proc Natl Acad Sci U S A. 2012, 109: 20119-20123. 10.1073/pnas.1218059109.
Petersen TN, Brunak S, von Heijne G, Nielsen H: SignalP 4.0: discriminating signal peptides from transmembrane regions. Nat Methods. 2011, 8: 785-786. 10.1038/nmeth.1701.
Krogh A, Larsson B, von Heijne G, Sonnhammer EL: Predicting transmembrane protein topology with a hidden Markov model: application to complete genomes. J Mol Biol. 2001, 305: 567-580. 10.1006/jmbi.2000.4315.
Bernsel A, Viklund H, Hennerdal A, Elofsson A: TOPCONS: consensus prediction of membrane protein topology. Nucleic Acids Res. 2009, 37: W465-8. 10.1093/nar/gkp363.
Altschul SF, Gish W, Miller W, Myers EW, Lipman DJ: Basic local alignment search tool. J Mol Biol. 1990, 215: 403-410. 10.1016/S0022-2836(05)80360-2.
Enright AJ: An efficient algorithm for large-scale detection of protein families. Nucleic Acids Res. 2002, 30: 1575-1584. 10.1093/nar/30.7.1575.
Park H, Bi E: Central roles of small GTPases in the development of cell polarity in yeast and beyond. Microbiol Mol Biol Rev. 2007, 71: 48-96. 10.1128/MMBR.00028-06.
This work was supported by a grant from the Deutsche Forschungsgemeinschaft (DFG PA861/11-1). We thank Helen Pennington for proofreading our manuscript regarding English language.
The authors declare that they have no competing interests.
R.P., S.K. and H.K. analyzed the data. N.A. performed the MCL analysis. R.P. wrote the manuscript, S.K., N.A. and H.K. prepared Figures and edited the manuscript. All authors read and approved the final manuscript.
Electronic supplementary material
Additional file 1: Table S1: Global Analysis of the Bgh proteome. Sheet “Summary”: This sheet serves as a master sheet and contains all data regarding BLAST2GO analysis, GenBank accession numbers, protein description, SignalP4.1 analysis, TMHMM2.0 analysis, InterProScan results, BLAST results against the G. orontii and E. pisi genome and ProtComp analysis. Sheet “SignalP4.1 details”: Detailed output from the SignalP4.1 analysis. Sheet “No BLAST hit”: The 830 entries of the “Summary” sheet that have no BLAST hit. Sheet “Bgh BLAST hits only”: The 830 entries of the sheet “no BLAST hit” plus 224 EKA-like proteins plus 18 proteins with solely Bgh-specific BLAST hits (total of 1072 entries). Sheet “Fungus-specific kinase”: The 70 entries of the “Summary” sheet that correspond to the fungus-specific kinase. Sheet “CSEPs”: The 491 entries of the “Summary” sheet that correspond to the previously described CSEPs. Sheet “Additional effector candidates”: The 42 entries of the “Bgh BLAST hits only” sheet that have no BLAST hit and a prediction for a signal peptide by SignalP4.1. Sheet “Powdery mildew-specific proteins”: The 265 entries of the “Bgh BLAST hits only” sheet with TBLASTN hits E <1e-10 against both the G. orontii and the E. pisi genome. Sheet “Bgh-specific proteins”: The 709 entries of the “Bgh BLAST hits only” sheet with no TBLASTN hits E <1e-5 against both the G. orontii and the E. pisi genome. (XLSX 4 MB)
Additional file 2: Figure S1: BLAST hit distribution. Histograms showing the frequency distribution of BLAST hits with regard to species. The diagram is based on all BLAST hits (A) or only the top BLAST hits (B) obtained in BLAST2GO analysis (i.e., using the 6,495 Bgh proteins as a query). (PDF 17 KB)
Additional file 5: Figure S2: Prediction of subcellular localization by ProtComp. The pie charts illustrate the prediction profiles of subcellular protein localization obtained by “neural network analysis” (A) and the “integral final score” (B). Figures indicate the number of proteins falling into a given category. (PDF 22 KB)
Additional file 7: Table S5: Bgh protein families with prominent roles in fungal development, signaling and pathogenesis. Sheet “GPCRs-heterotrimeric G proteins”. Sheet “MAP kinases”. Sheet “cAMP signaling”. Sheet “Small monomeric GTPases”. Sheet “Calcium signaling”. Sheet “Transcription factors”. (XLSX 59 KB)
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Kusch, S., Ahmadinejad, N., Panstruga, R. et al. In silico analysis of the core signaling proteome from the barley powdery mildew pathogen (Blumeria graminis f.sp. hordei). BMC Genomics 15, 843 (2014). https://doi.org/10.1186/1471-2164-15-843
- Blumeria graminis
- Heterotrimeric G protein
- MAP kinase
- Powdery mildew
- Small GTPase
- Transcription factors