Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

De novo Analysis of the Epiphytic Transcriptome of the Cucurbit Powdery Mildew Fungus Podosphaera xanthii and Identification of Candidate Secreted Effector Proteins

  • David Vela-Corcía,

    Affiliation Instituto de Hortofruticultura Subtropical y Mediterránea “La Mayora”, Universidad de Málaga, Consejo Superior de Investigaciones Científicas (IHSM−UMA−CSIC), Departamento de Microbiología, Facultad de Ciencias, Málaga, Spain

  • Rocío Bautista,

    Affiliation Plataforma Andaluza de Bioinformática, Edificio de Bioinnovación, Parque Tecnológico de Andalucía, Málaga, Spain

  • Antonio de Vicente,

    Affiliation Instituto de Hortofruticultura Subtropical y Mediterránea “La Mayora”, Universidad de Málaga, Consejo Superior de Investigaciones Científicas (IHSM−UMA−CSIC), Departamento de Microbiología, Facultad de Ciencias, Málaga, Spain

  • Pietro D. Spanu,

    Affiliation Department of Life Sciences, Imperial College London, United Kingdom

  • Alejandro Pérez-García

    aperez@uma.es

    Affiliation Instituto de Hortofruticultura Subtropical y Mediterránea “La Mayora”, Universidad de Málaga, Consejo Superior de Investigaciones Científicas (IHSM−UMA−CSIC), Departamento de Microbiología, Facultad de Ciencias, Málaga, Spain

De novo Analysis of the Epiphytic Transcriptome of the Cucurbit Powdery Mildew Fungus Podosphaera xanthii and Identification of Candidate Secreted Effector Proteins

  • David Vela-Corcía, 
  • Rocío Bautista, 
  • Antonio de Vicente, 
  • Pietro D. Spanu, 
  • Alejandro Pérez-García
PLOS
x

Abstract

The cucurbit powdery mildew fungus Podosphaera xanthii is a major limiting factor for cucurbit production worldwide. Despite the fungus’s agronomic and economic importance, very little is known about fundamental aspects of P. xanthii biology, such as obligate biotrophy or pathogenesis. To design more durable control strategies, genomic information about P. xanthii is needed. Powdery mildews are fungal pathogens with large genomes compared with those of other fungi, which contain vast amounts of repetitive DNA sequences, much of which is composed of retrotransposons. To reduce genome complexity, in this work we aimed to obtain and analyse the epiphytic transcriptome of P. xanthii as a starting point for genomic research. Total RNA was isolated from epiphytic fungal material, and the corresponding cDNA library was sequenced using a 454 GS FLX platform. Over 676,562 reads were obtained and assembled into 37,241 contigs. Annotation data identified 8,798 putative genes with different orthologues. As described for other powdery mildew fungi, a similar set of missing core ascomycete genes was found, which may explain obligate biotrophy. To gain insight into the plant-pathogen relationships, special attention was focused on the analysis of the secretome. After this analysis, 137 putative secreted proteins were identified, including 53 candidate secreted effector proteins (CSEPs). Consistent with a putative role in pathogenesis, the expression profile observed for some of these CSEPs showed expression maxima at the beginning of the infection process at 24 h after inoculation, when the primary appressoria are mostly formed. Our data mark the onset of genomics research into this very important pathogen of cucurbits and shed some light on the intimate relationship between this pathogen and its host plant.

Introduction

Powdery mildew fungi (Erysiphales) are plant pathogens that cause powdery mildew diseases in many plant species, such as cereals, fruits and vegetable crops as well as ornamentals [1]. These fungi are ascomycetes and obligate biotrophs; that is, their growth and reproduction depend on their living hosts. As a consequence, the fungi cannot be cultured in vitro, posing serious challenges for experimentation [2]. Recently, the genomes of five powdery mildew species were sequenced [35]. Analyses showed that the genomes bear hallmarks of the obligate biotrophic lifestyle. Essentially, the genomes are very large (>120 Mb) and full of retrotransposons, potentially allowing for high genomic flexibility. Notably, the genomes lack a considerable number of genes otherwise present in ascomycetes, which may explain why powdery mildew fungi rely on living host plants for propagation. The powdery mildew genomes encode a significant number of species-specific candidate secreted effector proteins (CSEPs), which may represent the weapons of powdery mildews for pathogenesis [3]. In addition, the fast adaptation of powdery mildews to their host species appears to be based on a diverse haplotype pool that provides great genetic potential for pathogen variation [4]. Moreover, in powdery mildew genomes, copy number variations can be adaptive in the development of resistance to fungicides by providing increasing quantitative protection in a gene-dosage-dependent manner [5].

The obligate and intimate relationships of powdery mildews with their plant hosts impose a strong selection pressure on these parasites to develop strategies to successfully infect while evading host detection and defence mechanisms. The molecules in charge of this process are called effectors. Effectors are proteins that enhance disease development by targeting host processes but are otherwise redundant to basal growth processes in the pathogen [6]. Secreted protein effectors influence host metabolism, defence mechanisms and modify the host cell structure to provide an environment for successful infection [7,8]. Effectors are generally small proteins in their mature form, and they rarely have homologues in more remotely related microbial species [9].

Effectors are broadly divided into apoplastic and cytoplasmic depending on their final destination in the host. Apoplastic effectors often exhibit inhibitory activity against extracellular host hydrolytic enzymes (e.g., proteases) and are typically small and highly cysteine-rich secreted proteins. Most cytoplasmic effector proteins have been identified through their avirulence functions, i.e., based on their genotype-specific recognition by matching plant resistance proteins [10]. In one class of oomycete effectors, an amino acid motif (RxLR-EER) is required as a translocation signal for delivery of effector proteins from haustoria into host plant cells. This motif is located a few amino acids downstream of the signal peptide cleavage sites [11]. Similarly, an amino acid motif, Y/F/WxC, has been found in the N-terminal, downstream of signal peptide cleavage site, in hundreds of powdery mildew effector candidates [6,10]; the biological significance of this motif is currently unknown.

The cucurbit pathogen Podosphaera xanthii is considered the main causal agent of powdery mildew on cucurbits worldwide and one of the most important limiting factors for cucurbit production in Spain [12,13]. Most research has focused on different aspects of disease control; unfortunately, however, powdery mildew continues to impose serious limitations on cucurbit production throughout the world. Despite the agronomic and economic importance of the fungus, very little is known about the physiological and molecular processes involved in P. xanthii biology and pathogenesis [14]. To design novel and more durable control strategies, genomic information of P. xanthii is needed. Until very recently, powdery mildew genomics remained elusive to researchers. Fortunately, the advent of new “omic technologies” is alleviating this situation.

The use of expressed sequence tags (ESTs) derived from protein-coding mRNA sequences is a useful approach for gene discovery; however, this method is obsolete compared with the next-generation sequencing (NGS) platforms because the throughput of NGS provides a massive amount of information. One of the most important challenges in NGS is ab initio construction of the transcriptome of an organism for which the genome sequence is not available. Thus, transcriptome studies help gene discovery and provide novel insight into various unique species-specific, biological processes/pathways [15]. Although the genome of P. xanthii is not available, the present study provides insight into the P. xanthii transcriptome. We describe the results of the 454 sequencing of a pooled RNA sample obtained from mycelia and conidia of P. xanthii infecting zucchini cotyledons and de novo assembly and annotation of the transcriptome data. In addition, the data were analysed to identify missing genes (compared with baker’s yeast) in powdery mildew fungi and the pool of secreted proteins (including candidate effectors), which are possibly involved in pathogenesis.

Materials and Methods

Plant material and fungal isolate

Zucchini plants (Cucurbita pepo) from cv. Negro Belleza (Semillas Fitó, Barcelona, Spain), a cultivar highly susceptible to powdery mildew, were grown from seeds in a growth chamber at 25°C over a 16–8 h photoperiod. The P. xanthii isolate 2086 was propagated on zucchini cotyledons previously disinfected and maintained in vitro as previously described [16]. The isolate was stored at -80°C until use [17].

RNA extraction, library synthesis and sequencing

Total RNA was isolated from epiphytic mycelium and conidia of P. xanthii collected from two different heavily powdery mildew-infected zucchini cotyledons by carefully removing the epiphytic fungal biomass with a spatula, immediately frozen in liquid nitrogen, and stored at -80°C until use. Total RNA was extracted using TRI Reagent (Sigma-Aldrich, Saint Louis, MO) and NucleoSpin RNA Plant (Macherey-Nagel, Düren, Germany) according to the manufacturer´s instructions. Total RNA was quantified using a NanoDrop 2000 spectrophotometer (Thermo Fisher Scientific, Waltham, MA). RNA quality and quantity were measured by running 1 μl of sample on an Agilent Bioanalyzer 2100 using a RNA Pico 600 chip (Agilent Technologies, Santa Barbara, CA). A non-normalised cDNA library was synthesised from 1.5 μg total RNA with the Mint-2 cDNA synthesis kit (Evrogen, Moscow, Russia). The 454 libraries obtained in this manner were immobilised on beads and clonally amplified using the GS FLX Titanium LV emPCR kit (454 Life Sciences, Branford, CT). The libraries were then sequenced using the GS FLX Titanium Sequencing Kit XLR70 (454 Life Sciences) and GS FLX Titanium PicoTiterPlate kit on a GS FLX instrument (454 Life Sciences). All kits were used according to the manufacturer’s instructions.

De novo assembly, annotation and ontology

Before assembly, 454 reads were pre-processed by SeqTrimNext v.2.0.54 pipeline (http://www.scbi.uma.es/seqtrimnext), available at the Plataforma Andaluza de Bioinformática (University of Málaga, Spain), using plugins to remove low and high size sequences, adapters, poly-A, ribosomes and contaminants from plants and bacteria, as well as sequences with low quality, ambiguity and low complexity. The detailed workflow for transcriptome pre-processing and assembly is depicted in S1 Fig.

Two different programs were used to assemble the filtered sequences, MIRA3 [18] and Euler [19]. Briefly, 676,562 sequences were assembled by the MIRA3 assembler version 3 (job= “denovo,est,normal,454”, -CL: ascdc, 454_SETTINGS, -CO:fnicpst = yes, -notraceinfo, COMMON_SETTINGS, -GE: not). The same number of initial reads was assembled by Euler; however, this program uses de Bruijn graphs to build contigs (k-mer = 29). Contigs resulting from Eulerian assembly were mapped against cleaned reads using Bowtie 2 [20], resulting in two groups of contigs: mapped and unmapped. Both unmapped and debris contigs were submitted to FulLengtherNext (http://www.scbi.uma.es/fulllengthernext) available at the Plataforma Andaluza de Bioinformática (-g: fungi -q -c: 100 -w: 32 -s: 10.243), to identify coding sequences susceptible to rescue. Thus, contigs from MIRA3 and Euler mapped, unmapped-coding, MIRA3 debris-coding and MIRA3-coding contigs were merged by CAP3 [21] (-p-value: 95 -overlapping: 100), and individual sequences reads that had no significant overlap with any other read were classified as “singletons”. Three different annotation programs were used to annotate the pool of merged contigs renamed as unigenes, FulLengtherNext, Sma3s [22] and AutoFACT [23]. These annotators were used to annotate predicted genes using default parameters. GO terms were retrieved from the annotation process and used for the de novo functional annotation of predicted proteins using a GO terms mapper (http://go.princeton.edu). For visualisation, sequences were grouped into categories according to the GOSlim file for Candida albicans (http://go.princeton.edu/cgi-bin/GOTermMapper).

In addition, the most expressed genes and biological processes in the P. xanthii epiphytic cDNA library were also analysed. To identify the most expressed genes, trimmed reads were mapped against the contigs obtained after the assembly process using Bowtie 2. To identify the most expressed biological processes, the number of average reads per gene within the different GO categories was calculated.

Secretome identification

Putative secreted proteins were predicted from coding contigs, both with and without orthologue, following the workflow illustrated in S2 Fig [24]. Briefly, all putative proteins with a SignalP D-score = Y (SignalP v4.1; http://www.cbs.dtu.dk/services/SignalP/) and a TargetP Loc = S (TargetP v1.1; http://www.cbs.dtu.dk/services/TargetP/) were combined. These proteins were then scanned for transmembrane spanning regions using TMHMM (TMHMM v2.0; http://www.cbs.dtu.dk/services/TMHMM/), and all proteins with 0 transmembrane domain (TM) or 1 TM, if located in the predicted N-terminal signal peptide, were kept. GPI-anchored proteins were predicted by big-PI (http://mendel.imp.ac.at/gpi/gpi_server.html). All proteins predicted as extracellular were retained in the final secretome dataset. WolfPSort analysis (Ext >17) was performed using ‘‘runWolfPsortSummary fungi” in the WolfPSort v0.2 package. All of those proteins were arranged by their putative biological function according to the GO terms assigned in the annotation process mentioned previously. Pfam analysis was performed using the Pfam database (http://pfam.sanger.ac.uk/search). Putative secreted proteins with an identity percentage less than 45%, after Pfam analysis, were considered to have no functional annotation. These P. xanthii proteins lacking any conserved domain and any assigned functional annotation were named as candidate secreted effector proteins (CSEPs).

Phylogenetic and natural selection analyses of effector candidates

The CSEPs and some P. xanthii secreted proteins previously identified in other fungal pathogens to have a role in pathogenesis were aligned using the slow and accurate pairwise alignment in CLUSTALW2 (www.ebi.ac.uk/Tools/msa/clustalw2/). The alignment file was used for phylogenetic analysis via the phylogeny option of CLUSTALW2. The neighbour-joining algorithm [25] was chosen to generate a tree file that was subsequently fed into MEGA5 [26] for visualisation. A bootstrap consensus tree was inferred from 1000 replicates [27]. After alignment, the amino acid sequences of CSEPs were also screened manually to recognise the conserved N-terminal motif Y/F/WxC located after the signal peptide described previously in many candidate effector proteins in powdery mildew fungi [10].

Effector candidate gene expression by quantitative RT-PCR

One-week-old zucchini cotyledons were inoculated with P. xanthii as described previously [16]. Briefly, inoculation of P. xanthii conidia was performed by depositing four conidia in each cotyledon with a sterile eyelash using a binocular microscope. Infected leaf material was harvested at different time points, frozen in liquid nitrogen and ground with a mortar and pestle. Total RNA was extracted from 100 mg tissue as mentioned previously. cDNA was synthesised using Invitrogen Superscript III Reverse Transcriptase (Thermo Fisher Scientific) with random primers according to the manufacturer’s instructions. qRT-PCR reactions were carried out with three technical replicates of cDNA corresponding to 75 ng RNA samples in an iQ5Cycler (Bio-Rad, Hercules, CA). The iQSybr Mastermix (Bio-Rad) was used with a final concentration of 0.5 μM for each primer (S1 Table), and amplification was conducted according to the following protocol: denaturation at 95°C for 3 min, then 40 cycles of 95°C for 20 s, 60°C for 20 s and 72°C for 10 s. Subsequently, melting curve analysis of between 72 and 95°C in 0.5°C steps with a dwell time of 10 s per step was performed to verify the amplification of single amplicons. In addition, amplicons were visualised on 2% agarose gels. Expression was calculated relative to the β–tubulin gene PxTUB2 [28] using the ΔΔCt method [29].

Results

Construction, sequencing and annotation of an epiphytic cDNA library of P. xanthii

Epiphytic mycelia and conidia of P. xanthii were removed from heavily infected zucchini cotyledons after 7 dpi. Total RNA was extracted, and a non-normalised cDNA library constructed. The library was sequenced by a 454 GS-FLX Titanium platform, yielding 975,070 sequence reads. To filter and discard any contaminant sequences such as vectors and adaptors used for sequencing and contaminants sequences from the host plant, these raw data were processed by SeqTrimNext v.2.0.54. After removing all contaminant sequences and quality filtering, 676,562 reads were used for the final assembly into 36,506 contigs by the MIRA3 assembler and into 11,129 contigs by the Euler assembler. In addition, coding contigs were retrieved from unmapped contigs identifying potential ORFs by FulLengtherNext, specifically, 12,193 contigs from MIRA3 and 87 from unmapped contigs. All these sequences were assembled, merged by CAP3 and submitted to NCBI screening and manual curation, yielding a total of 37,241 contigs (including singletons), henceforth named unigenes.

Derived hypothetical proteins were annotated by FulLengtherNext, Sma3s and AutoFACT simultaneously (Table 1). Sma3s provided gene ontology (GO) terms. In the case of FulLengtherNext, 10,507 proteins (28.3%) had detectable orthologues, of which 6,645 had orthologues with different IDs, and 26,655 proteins (71.7%) had no detectable orthologues. Within the group of unigenes with orthologues, there are different unigenes with the same orthologue, those unigenes are considered as paralogs due to duplication events within the P. xanthii genome. However, in order to find those unigenes that are unique, without repetitions, we used the program FulLengtherNext that pulls out all those unigenes, which is considered as the representative transcriptome.

thumbnail
Table 1. Summary statistics of the annotation process of the P. xanthii epiphytic transcriptome.

https://doi.org/10.1371/journal.pone.0163379.t001

When AutoFACT was used, 9,126 proteins (23.2%) lacked any detectable homologues in the NCBInr database; the remaining proteins, 12,546 (31.9%) had homologues in other species but no functional annotation, and 17,671 (44.9%) could be functionally annotated. Finally, Sma3s was used to assign all of the GO terms associated with related proteins. Among the 37,241 unigenes, 12,918 (34.8%) displayed at least one blast hit and the remaining 65.2% (24,244 unigenes) had no blast hits. From the sequences showing protein matches, 10,506 (76%) had at least one GO assigned term and 3,323 (24%) had a blast hit but no GO term assigned.

This Transcriptome Shotgun Assembly project has been deposited at DDBJ/EMBL/GenBank under the accession GEUO00000000. The version described in this paper is the first version, GEUO01000000.

Functional classification of annotated unigenes

All predicted proteins with a biological process assignment were grouped into categories using the GOSlim terms generated from the Candida albicans genome (Fig 1). Most of annotated sequences represented elements associated with translation, regulation of biological processes, organelle organization and transport (34.3% of the library); however, responses to stress and chemical stimulus also appeared to be highly represented (13.4%). Transcripts encoding proteins involved in primary metabolism (RNA, DNA, carbohydrate and lipid metabolism as well as protein catabolism and generation of precursor metabolites and energy) represented 17.1% of the library. Smaller subsets of predicted proteins were involved in signal transduction, vesicle-mediated transport and other functions such as pathogenesis or response to drugs.

thumbnail
Fig 1. Pie chart representing the functional annotation of predicted proteins from the epiphytic transcriptome of P. xanthii.

The diagram displays the relative abundance of C. albicans GOSlim categories among the 6,645 annotated predicted proteins. All data were submitted to the NCBI database under the accession GEUO00000000.

https://doi.org/10.1371/journal.pone.0163379.g001

Besides functional classification, the library was analysed to identify the most expressed genes and biological process. Most expressed biological processes are presented in Fig 2. As shown, processes such as translation and protein modification were the most overrepresented with more than 1,200 average reads per gene. Besides these processes, GO categories such as energy metabolism, cell wall organisation, pathogenesis and catabolic process were also highly expressed, showing average reads of more than 800 reads per gene. The Top50 most expressed genes are shown in S2 Table. According to previously mentioned, the GO category translation contains ten of the top50 most expressed transcripts in the library, including the most expressed one, the corresponding to elongation factor 1-alpha with 2,591 reads.

thumbnail
Fig 2. The most expressed GO categories in the epiphytic transcriptome of P. xanthii.

Representation of the number of average reads within the most expressed GO categories in the P. xanthii epiphytic cDNA library. For each category, the number of genes within the group of Top50 most expressed transcripts is shown on the right side of the bars. See S2 Table for details on Top50 most expressed genes.

https://doi.org/10.1371/journal.pone.0163379.g002

Metabolic pathways missing in Podosphaera xanthii

As previously described, there are missing metabolic pathways in powdery mildews.

The missing genes encode enzymes of primary and secondary metabolism, carbohydrate-active enzymes, and transporters, probably reflecting their redundancy in an exclusively biotrophic life-style [3]. Therefore, in order to evaluate the similarity of the P. xanthii sequence data to previously released powdery mildew genomic and transcriptomic datasets, a search for genes absent in mildews but present in other ascomycetes such as Saccharomyces cerevisiae and phytopathogens such as Colletotrichum higginsianum, Magnaporthe oryzae, and Sclerotinia sclerotiorum, was performed using the list of missing metabolic pathways in powdery mildew fungi raised in a previous study [3]. The authors proposed a list of 99 yeast genes that were missing in mildews; the set of metabolic pathways represented by these genes were named MACGs (missing ascomycete core genes). To identify P. xanthii MACG genes, the transcriptome of P. xanthii was compared with the Blumeria graminis annotated coding sequences dataset (www.blugen.org) and the S. cerevisiae genome (S3 Table). The MACGs represent a diverse set of metabolic and regulatory proteins affecting multiple processes and pathways, such as anaerobic fermentation, biosynthesis of glycerol from glycolytic intermediates, and inorganic nitrogen (nitrate) assimilation.

Although the majority of MACGs in P. xanthii coincide with those identified elsewhere, there are notable exceptions: Three predicted proteins are present in S. cerevisiae as well as in P. xanthii but not in B. graminis. These proteins are: THI4 (55% identity), which encodes a thiazole synthase and catalyses the formation of a thiazole intermediate during thiamine biosynthesis; PPS1 (45% identity), which encodes a protein phosphatase with specificity for serine, threonine, and tyrosine residues and plays a role in the DNA synthesis phase of the cell cycle; and FDH1 (70% identity), a protein that encodes a NAD-dependent formate dehydrogenase, which may protect cells from exogenous formate.

Characterisation of the P. xanthii epiphytic secretome

Five different programs were used to identify the secretome of P. xanthii (S2 Fig). A total of 137 putative secreted proteins were identified. Those putative proteins were arranged by their biological function according to the GO terms assigned in the annotation process (Fig 3). Among these proteins, 84 putative secreted proteins are similar to proteins in the publicly accessible database (Table 2 and S4 Table). The deduced proteins (53) to which no GO term was assigned were then considered effector candidates. Most of them lack any conserved domain after inspection with Pfam and BlastP and, therefore, they were named as candidate secreted effector proteins (CSEPs) (Table 3).

thumbnail
Fig 3. Pie chart representing the functional annotation of the P. xanthii secretome deduced from the predicted proteins from the epiphytic transcriptome.

The diagram displays the relative abundance of GO categories among the total of 137 putatively secreted proteins identified; 84 secreted proteins were grouped by biological functions, and 53 had no GO terms and, consequently, were catalogued as candidate secreted effector proteins (CSEPs). The number of proteins within each functional category is presented in brackets. See Table 2 and S4 Table for details.

https://doi.org/10.1371/journal.pone.0163379.g003

thumbnail
Table 2. Annotation of the epiphytic secretome of P. xanthii.

Only categories “Pathogenesis” and “Host interaction” are presented. Rest of categories is shown in S4 Table.

https://doi.org/10.1371/journal.pone.0163379.t002

thumbnail
Table 3. List of CSEPs identified in the P. xanthii epiphytic secretome and orthologues present in the genome of B. graminis f. sp. hordei.

https://doi.org/10.1371/journal.pone.0163379.t003

An interesting group of annotated proteins is that composed of proteins related to host interaction (Table 2), formed by 17 predicted proteins. The amino acid sequence of these proteins is very similar to that of a protein of the barley powdery mildew Blumeria graminis f. sp. hordei (Bgh), Egh16H [GenBank: Q9C1F7], which has been previously demonstrated to be upregulated in germinating conidia and during the formation of the primary infection structures on the host [30]. All of the proteins exhibit a DUF domain (Domain of Unknown Function); therefore, the biological function of these proteins remains to be determined.

In addition, six predicted proteins involved in pathogenesis (Table 2) were found in the secretome. One of them (contig2835) encodes a protein homologue of cerato-platanin (CP), a protein identified in Ceratocystis fimbriata, the causal agent of ‘‘canker stain disease” in plane trees, and involved in disease onset [31]. Three genes encoding putative secreted proteins containing CFEM domains (Common in Fungal Extracellular Membrane), which are fungi-specific, measure ~60 amino acids long, contain eight characteristically spaced cysteine residues and are believed to play roles in fungal pathogenesis [32]. One of the proteins (contig8430) is similar (48%) to the effector protein EC4 in Bgh [GenBank: AEQ16462). Another gene (contig3096) is similar (47%) to a Fusarium verticillioides 7600 protein [GenBank: EWG37445], which also carries a CFEM domain. The last protein (contig2707) is similar (37%) to an effector candidate previously identified in Golovinomyes orontii, EC2 [GenBank: G9BES2]. Another predicted secreted protein (contig7324) containing the CAP domain (Cysteine-rich secretory proteins, Antigen 5 and Pathogenesis-related protein) is similar (46%) to a Colletotrichum graminicola [GenBank: E3QP32] protein. The CAP superfamily proteins are found in all kingdoms of life and have been implicated in a variety of physiological contexts. In fungi, recent evidence indicates that the proteins act as sterol-binding and export proteins. The presence of these proteins in the secretome of pathogenic fungi suggests that they might inflict damage by sequestering sterols or related small hydrophobic compounds from the host tissue [33]. Finally, within the group of pathogenesis-related genes, a protein containing a glyoxal oxidase domain (contig1920) was found. This protein was similar (77%) to a protein identified in Bgh [GenBank: CCU82032], which is required for pathogenic development and cell morphology in Ustilago maydis [34].

Furthermore, one pathogenesis-related gene that does not have any predicted signal peptides was also identified. The gene is that of a putative RNA binding protein (contig310) that exhibits up to seven KH (K homology) domains and is related to RNA-binding proteins similar to the hypothetical effector protein Scp160, which has been identified in several pathogens, such as Aspergillus fischerianus and Glomerella graminicola [35].

Identification of P. xanthii candidate effectors

In our analysis, we predicted 53 secreted proteins with no similarity with proteins in the public databases (Table 3); the proteins were referred to as candidate secreted effector proteins (CSEPs), which as suggested for other phytopathogenic fungi may be involved in pathogenesis. To test any existing relationship within the CSEPs group, among the CSEPs and with known effector proteins, an unrooted phylogenetic tree was constructed by the neighbour-joining method and bootstrap analysis among the 53 CSEPs specific to P. xanthii and 6 homologous effector proteins, mentioned above, identified in other filamentous fungi. Based on the phylogenetic analysis, all the putative secreted proteins were grouped into several families with two to six members (Fig 4), where the homologous proteins were spread all over the families and mixed with the CSEPs. Because of the high sequence diversity among the CSEPs, this approach did not accurately resolve their phylogenetic relationships but rather visualised clusters of similar sequences within the CSEP superfamily. Bootstrap analysis indicated largely reliable family classification, whereas the relatedness among families was less well determined.

thumbnail
Fig 4. Phylogenetic analysis of P. xanthii CSEPs.

The unrooted phylogenetic tree is based on NJ analysis. The confidence of groupings was estimated by using 1,000 bootstrap replicates, and the percentage of replicate trees supporting each branch is shown next to the branching point. The analysis showed the existence of potential families within the P. xanthii CSEPs.

https://doi.org/10.1371/journal.pone.0163379.g004

Furthermore, manual inspection of the alignment revealed that P. xanthii CSEPs contained the N-terminal conserved motif Y/F/WxC, previously found in many candidate effector proteins in powdery mildew fungi [10]. Notably, the WxC motif was particularly abundant (Fig 5). In addition, the putative transcriptome of P. xanthii was compared with the EST collection of Bgh (www.blugen.org) by BlastP analysis. Only 44% of genes (3,908 genes) were common between P. xanthii and Bgh. The group of common genes was used as database to map the CSEPs identified in P. xanthii; 17 of 53 CSEPs were shared with Bgh, whereas the rest were specific to P. xanthii. The P. xanthii CSEPs that are also present in Bgh are indicated in Table 3.

thumbnail
Fig 5. N-terminal amino acid Y/F/WxC motif and natural selection in P. xanthii CSEPs.

The N-terminal amino acid motif Y/F/WxC was screened manually within the pool of CSEPs, and only the motif WxC was observed following the secretion signal. Alignments were performed with ClustalW2, and the sequence logo was represented using the Seq2Logo online server (www.cbs.dtu.dk/biotools/Seq2Logo/).

https://doi.org/10.1371/journal.pone.0163379.g005

Expression analysis of P. xanthii CSEPs

To test whether the CESPs identified in this work could play a role during interaction with host plants, time-course transcriptional profiling of a small group of selected P. xanthii CSEPs was performed. These selected genes include three P. xanthii-specific CSEPs (CSEP01, CSEP02 and CSEP05), and two additional CESPs with putative orthologues in other phytopathogenic fungi, CSEP021 (contig8160) a homologue of a hypothetical protein of B. graminis which encodes a putative peptidase, and the putative RNA binding protein (contig310) homologue to the hypothetical effector protein Scp160 identified in A. fischerianus and G. graminicola. RT-qPCR was carried out to analyse the expression pattern of these genes (Fig 6). Three of five CSEPs screened (CSEP01, CSEP02 and CSEP05) showed maxima of expression at the beginning of the infection process (24 hpi), when the primary appressoria are mostly formed. CSEP01 and CSEP05 showed 9-fold and 14-fold increases, respectively, whereas a slight twofold increase was observed for CSEP02. The homologue to the effector Scp160 (contig 310) displayed a delay in the expression pattern with a maximum of twofold increase at 48 hpi, when primary hyphae are abundant. By contrast, expression of CSEP021 hardly changed over time. After 48 hpi, the analysed candidate effectors showed expression levels very reduced (one-fold change or less).

thumbnail
Fig 6. Expression of selected P. xanthii CSEP genes in a time-course experiment.

Total RNA was isolated from zucchini cotyledons infected with P. xanthii at different time points, and the relative expression of five putative effector-genes (CSEP01, CSEP02, CSEP05, CSEP021 and a homologue to Scp160) was analysed by quantitative RT-PCR. Transcript abundance was normalised to the endogenous control β-tubulin gene PxTUB2 (KC333362). Relative expression of each gene was calibrated to the sample 8 h post inoculation. Points represent the mean ± standard deviation of three technical replicates from two cDNA samples obtained from two different zucchini cotyledons.

https://doi.org/10.1371/journal.pone.0163379.g006

Discussion

The cucurbit family includes many economically important species, particularly those with edible fruits. There are over 200 known cucurbit diseases of diverse aetiologies; however, powdery mildew is likely the most common, conspicuous, widespread and easily recognisable disease in these crops [14]. Despite the agronomic and economic relevance of the fungus, no genomic resources and few molecular tools are available for studying this fungus. The genomes of powdery mildew fungi appear to be very complex, not only because of their size (approximately 120 Mbp, nearly 4 times the size of most other ascomycetes) but also because of the high abundance of repetitive DNA, particularly retroelements (approximately 70% of the genome) [35]. To obtain large-scale genome sequence information from P. xanthii, we needed a strategy to reduce genome complexity. For this purpose, we chose cDNA sequencing for gene discovery. Indeed, these results could be used for genome annotation in future genome sequencing projects.

Here, we used 454 GS FLX (Roche) to sequence a cDNA library from epiphytic mycelium and conidia of P. xanthii and thereby characterise the transcripts. We identified 6,645 genes in P. xanthii. This number of genes identified in P. xanthii is very similar to the gene number described previously for B. graminis, with 6,470 annotated genes [3]. This similarity means that our assembly is likely to encompass most of the genes and represent an unbiased fraction of the total transcriptome of P. xanthii. In contrast to previous studies in which Blast2GO [36] was the most common bioinformatics tool employed to annotate the transcripts [37,38], in this work we used three different annotation programs FulLengtherNext [39], AutoFACT [23] and Sma3s [22], thus maximising the yield in gene identification.

In previous studies, transcriptomic analyses of powdery mildew fungi have shown that B. graminis and G. orontii contain many transcripts involved in primary metabolic process and protein synthesis as well as pathogenesis [38,4042]. Similarly, among the genes associated with protein metabolism, most of the genes present in P. xanthii transcriptome are related to protein synthesis and protein modification processes. In addition, vital cellular processes such as the regulation of biological processes and organelle organisation are also highly represented in the P. xanthii transcriptome, as recently shown for Podosphaera plantaginis [43]. Moreover, components of protein biosynthesis are highly overrepresented in transcripts of ascomycete phytopathogens compared with those of non-pathogenic ascomycete fungi [44], indicating a general role of high translational activity during adaption to the host environment.

By comparison with EST collections, proteomes and genomes from other ascomycetes, we identified metabolic pathways missing in P. xanthii as well as in other powdery mildews [3]. The missing genes are involved in pathways associated with a saprophytic life-style. One of these pathways is thiamine biosynthesis; thiamine diphosphate (vitamin B1) is a cofactor required for the activity of several enzymes of central carbon metabolism, such as pyruvate dehydrogenase, pyruvate decarboxylase, α-ketoglutarate decarboxylase, and transketolase [45]. Another absent group of genes is related to allantoin metabolism; allantoin is an intermediate in the degradation of adenine and guanine and is a major nitrogen source for S. cerevisiae growing in its natural habitat [46]. Thus, powdery mildew fungi are not capable of using allantoin as a nitrogen source. Moreover, powdery mildews lack genes involved in inorganic nitrogen assimilation because there is no trace of genes related to methionine metabolism and nitrate assimilation, both of which are pathways responsible for nitrogen assimilation for protein synthesis [47,48].

Furthermore, P. xanthii also lacks the repeat-induced point mutation (RIP) systems as in B. graminis and G. orontii [3]. The RIP mechanism was described for the first time for the ascomycete fungus Neurospora crassa and is responsible for duplicated gene removal during meiosis, therefore, limiting the ability to undergo paralogous gene duplication and consequent gene family expansion [49]. Moreover, the RIP system is widely believed to protect fungal genomes against transposon replication [50,51] and therefore appears to contribute to the evolution of fungal genes. This system has the potential to either enhance or impede the generation of genetic diversity. In a previous study, authors described that high levels of RIP lead to a deficiency in gene family diversity, whereas low levels of RIP lead to increased diversity of gene families. Furthermore, RIP has been reported to affect non-duplicated genes adjacent to RIP-affected repetitive DNA sequences, which may drive the evolution of these genes and can promote rapid adaptation to selection pressures in some species [52].

The secretion of proteins and metabolites that mediate the communication between host and pathogen are termed effectors. Effector proteins play a pivotal role in determining the outcome of the interactions [24]. Although the specific processes for host colonisation are mediated by the haustorium [38], a number of different effector candidates were detected in the epiphytic transcriptome. We found a number of transcripts encoding secreted cell wall-modifying enzymes, such as putative chitinases, carboxylesterases, carboxypeptidases and two glucanosyltransferases. The latter two transcripts are homologues of GAS1, that encodes for a protein involved in fungal cell wall biogenesis and described as a virulence factor of Fusarium oxysporum [53]. This gene has also been identified in B. graminis and implicated in virulence by transient silencing assays [54]. We also identified several homologues of other pathogenicity genes. For example, a homologue of a cerato-platanin (CP) protein of Ceratocystis fimbriata f. sp. platani, the causal agent of canker stain disease [31], was identified. CP shares certain structural and functional characteristics with other fungal proteins called hydrophobins that are secreted fungal proteins and have a wide range of functions in fungal growth and development. These proteins are able to self-assemble, resulting in large macrofibrillar assemblies, and bind to hydrophobic/hydrophilic interfaces acting as biosurfactants [55]. Interestingly, there are no hydrophobin genes in the powdery mildew fungi whose genomes have been analysed to date. One of these proteins, the product of the snodprot1 gene from Phaeosphaeria nodorum, the causal agent of glume blotch of wheat, is expressed during infection of wheat leaves and appears to be involved in various stages of the host-fungus interaction [31].

We found three transcripts that contain the cysteine-rich domain (CFEM), also detected in many fungal effector proteins described previously in the secretome of Sclerotinia sclerotiorum [56]. One of these proteins is a possible homologue of the G. orontii EC2 gene, which encodes another putative effector protein. Indeed, two proteins containing this motif, Pth11 and ACI1, appear to play an important role in appressorium development and cAMP production, respectively, in the rice blast fungus Magnaporthe grisea [57,58]. It has been suggested that CFEM-domain proteins could function as cell-surface receptors or signal transducers or as adhesion molecules in host-pathogen interactions [32]. We also found one protein belonging to the CAP protein family (cysteine-rich secretory proteins, antigen 5 and pathogenesis-related 1 proteins), which are involved in many processes including the regulation of extracellular matrix and branching morphogenesis and potentially as either proteases or protease inhibitors, among others [59].

In addition, a putative gene encoding a protein similar to the Scp160 effector protein of A. fischerianus was found [35]; this protein contains a KH-1 domain that is present in a wide variety of nucleic acid-binding proteins. The KH domains are implicated in mRNA binding and have been described as responsible for mRNA degradation [60]. Furthermore, a transcript that encodes for a putative glyoxal oxidase was also found in the P. xanthii transcriptome. This enzyme catalyses the enzymatic oxidation of a variety of simple dicarbonyl and β-hydroxycarbonyls, particularly glyoxal and methylglyoxal, to carboxylic acids, coupled with hydrogen peroxide production. In U. maydis, the authors demonstrated that the membrane-bound glyoxal oxidase Glo1 is required for pathogenic development and for the maintenance of cell morphology and filamentous growth [34].

As observed in the barley powdery mildew B. graminis f. sp. hordei [6], the CSEPs identified in P. xanthii showed a certain type of relationship among them and with known effector proteins. The clustering of CSEPs into families of paralogues suggests that CSEPs have gone through iterated rounds of gene duplication during evolution [10], and those local duplications might be involved in the expansion of effectors in P. xanthii, as described previously for Ustilaginoidea virens [61]. Despite no functional explanation for such clustering, the relationship shared with known effector proteins could be used to assign a possible functional categorisation to those CSEPs that cluster.

The number of total CSEPs obtained in the present study was lower than that observed in other powdery mildew transcriptomic studies [6,10,38]. However, those studies focused on effector candidates obtained from the specialised feeding structure, the haustorium [51], and not on surface structures such as mycelia and conidia. Therefore, because the haustorium is the structure that is intimately related to the host plant, it is reasonable that these specialised cells express a higher number of effector proteins than the epiphytic mycelium does. In any case, the expression profile of some of these CSEPs resembles those previously observed in other powdery mildew species for candidate effectors [38], suggesting a role of these CSEPs during the pathogenic process. Finally, P. xanthii CSEPs were screened for the typical N-terminal conserved motif Y/F/WxC-motif [10]; interestingly, the WxC motif was predominant in epiphytic effector candidates. The preference for this motif as well as its biological significance in P. xanthii mycelium-associated effectors remains unknown.

Podosphaera xanthii, like the rest of powdery mildew fungi, is an obligate biotroph. This means, it is able to grow on plants by obtaining nutrients from host cells that are still alive. To accomplish this goal, the pathogen has to cope with PTI (PAMP-triggered immunity), a defense response which is induced by fungal contact with the plant surface. The effector armory of biotrophs includes effectors needed during penetration to downregulate PTI [8]. Some of these effectors have been described in model biotrophs such as U. maydis, Cladosporium fulvum or B. graminis f. sp. hordei. To identify similar effectors in P. xanthii, specific tools for functional validation of candidate effector genes should be previously developed. With this regard, the host-induced gene silencing (HIGS) technique [54] is currently under development in our laboratory.

Conclusions

The present work provides transcriptome information on the cucurbit powdery mildew pathogen P. xanthii. Insight into the molecular bases of obligate biotrophy and pathogenesis, completely unknown to date, have been provided. Our results represent a source of molecular information that can be used for a number of downstream applications in different fields such as epidemiology and population genetics, systematics, fungicide resistance or functional genomics. With respect to functional genomics, however, specific tools that allow for systematic functional validation of genes involved in pathogenesis and other biological processes in this important pathogen of cucurbits should be developed.

Supporting Information

S1 Fig. Schematic workflow used for assembly of the epiphytic transcriptome of P. xanthii.

See Materials and Methods for details.

https://doi.org/10.1371/journal.pone.0163379.s001

(TIF)

S2 Fig. Schematic workflow used to identify the epiphytic secretome of P. xanthii including candidate secreted effector proteins (CSEPs).

See Materials and Methods for details.

https://doi.org/10.1371/journal.pone.0163379.s002

(TIF)

S1 Table. Primers used for time-course gene expression profiling experiments.

https://doi.org/10.1371/journal.pone.0163379.s003

(DOCX)

S2 Table. Top50 most expressed transcripts in the P. xanthii epiphytic transcriptome.

https://doi.org/10.1371/journal.pone.0163379.s004

(DOCX)

S3 Table. Metabolic pathways missing in P. xanthii as in other powdery mildews.

https://doi.org/10.1371/journal.pone.0163379.s005

(DOCX)

S4 Table. Annotation of the P. xanthii epiphytic secretome (rest of categories).

Categories “Pathogenesis” and “Host interaction”, and the list of CSEPs are shown in Tables 2 and 3, respectively.

https://doi.org/10.1371/journal.pone.0163379.s006

(DOCX)

Acknowledgments

We thank Josefa Gómez from “Edificio de Bioinnovación” of the University of Malaga for the excellent technical assistance provided in the sequencing process. We also thankfully acknowledge the computer resources and the technical support provided by the “Platafoma Andaluza de Bioinformática” of the University of Málaga.

This study was supported by funding from the former “Ministerio de Ciencia e Innovación (MICINN)” (AGL2010-21848-CO2-01/AGR) and current “Ministerio de Economía y Competitividad (MINECO)” (AGL2013-41939-R), both cofinanced by FEDER funds (EU). DVC was supported by a PhD fellowship from the FPI program of MICINN. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Author Contributions

  1. Conceptualization: DVC RB AV PS APG.
  2. Data curation: DVC RB.
  3. Formal analysis: DVC RB APG.
  4. Funding acquisition: APG AV.
  5. Investigation: DVC RB.
  6. Project administration: APG.
  7. Resources: APG AV.
  8. Supervision: APG.
  9. Validation: DVC RB.
  10. Visualization: DVC APG.
  11. Writing – original draft: DVC APG.
  12. Writing – review & editing: AV PS APG.

References

  1. 1. Glawe D (2008) The powdery mildews: a review of the world’s most familiar (yet poorly known) plant pathogens. Annu Rev Phytopathol 46: 27–51. pmid:18680422
  2. 2. Spanu P, Panstruga R (2012) Powdery mildew genomes in the crosshairs. New Phytol: 20–22. pmid:22626263
  3. 3. Spanu PD, Abbott JC, Amselem J, Burgis T a, Soanes DM, Stüber K, et al. (2010) Genome expansion and gene loss in powdery mildew fungi reveal tradeoffs in extreme parasitism. Science 330: 1543–1546. pmid:21148392
  4. 4. Wicker T, Oberhaensli S, Parlange F, Buchmann JP, Shatalina M, Roffler S, et al. (2013) The wheat powdery mildew genome shows the unique evolution of an obligate biotroph. Nat Genet 45: 1092–1096. pmid:23852167
  5. 5. Jones L, Riaz S, Morales-Cruz A, Amrine KCH, McGuire B, Gubler W, et al. (2014) Adaptive genomic structural variation in the grape powdery mildew pathogen, Erysiphe necator. BMC Genomics 15: 1081. pmid:25487071
  6. 6. Godfrey D, Böhlenius H, Pedersen C, Zhang Z, Emmersen J, Thordal-Christensen H (2010) Powdery mildew fungal effector candidates share N-terminal Y/F/WxC-motif. BMC Genomics 11: 317. pmid:20487537
  7. 7. Sacristán S, Vigouroux M, Pedersen C, Skamnioti P, Thordal-Christensen H, Micali C, et al. (2009) Coevolution between a family of parasite virulence effectors and a class of LINE-1 retrotransposons. PLoS One 4: e7463. pmid:19829700
  8. 8. Lo Presti L, Lanver D, Schweizer G, Tanaka S, Liang L, Tollot M, et al. (2015) Fungal Effectors and Plant Susceptibility. Annu Rev Plant Biol 66: 513–545. pmid:25923844
  9. 9. Ellis JG, Rafiqi M, Gan P, Chakrabarti A, Dodds PN (2009) Recent progress in discovery and functional analysis of effector proteins of fungal and oomycete plant pathogens. Curr Opin Plant Biol 12: 399–405. pmid:19540152
  10. 10. Pedersen C, Ver Loren van Themaat E, McGuffin LJ, Abbott JC, Burgis T, Barton G, et al. (2012) Structure and evolution of barley powdery mildew effector candidates. BMC Genomics 13: 694. pmid:23231440
  11. 11. Whisson SC, Boevink PC, Moleleki L, Avrova AO, Morales JG, Gilroy E, et al. (2007) A translocation signal for delivery of oomycete effector proteins into host plant cells. Nature 450: 115–118. pmid:17914356
  12. 12. del Pino D, Olalla L, Pérez-García A, Rivera M, García S, Moreno R, et al. (2002) Occurrence of races and pathotypes of cucurbit powdery mildew in southeastern Spain. Phytoparasitica 30: 459–466.
  13. 13. Fernández-Ortuño D, Pérez-García A, López-Ruiz F, Romero D, Vicente A, Torés JA (2006) Occurrence and distribution of resistance to QoI fungicides in populations of Podosphaera fusca in south central Spain. Eur J Plant Pathol 115: 215–222.
  14. 14. Pérez-García A, Romero D, Fernández-Ortuño D, López-Ruiz FJ, de Vicente A, Torés JA (2009) The powdery mildew fungus Podosphaera fusca (synonym Podosphaera xanthii), a constant threat to cucurbits. Mol Plant Pathol 10: 153–160. pmid:19236565
  15. 15. Jain M (2011) A next-generation approach to the characterization of a non-model plant transcriptome. Curr Sci 101: 1435–1439.
  16. 16. Álvarez B, Torés A (1997) Cultivo in vitro de Sphaerotheca fuliginea (Schlecht. ex Fr.), efecto de diferentes fuentes de carbono sobre su desarrollo. Boletín Sanid Veg Plagas 23: 283–288.
  17. 17. Pérez-García A, Mingorance E, Rivera ME, Del Pino D, Romero D, Torés JA, et al. (2006) Long-term Preservation of Podosphaera fusca Using Silica Gel. J Phytopathol 154: 190–192.
  18. 18. Chevreux B, Wetter T, Suhai S (1999) Genome Sequence Assembly Using Trace Signals and Additional Sequence Information. Ger Conf Bioinforma.
  19. 19. Pevzner PA, Tang H, Waterman MS (2001) An Eulerian path approach to DNA fragment assembly. Proc Natl Acad Sci U S A 98: 9748–9753. pmid:11504945
  20. 20. Langmead B, Salzberg SL (2012) Fast gapped-read alignment with Bowtie 2. Nat Meth 9: 357–359. pmid:22388286
  21. 21. Huang X (1999) CAP3: A DNA Sequence Assembly Program. Genome Res 9: 868–877. pmid:10508846
  22. 22. Muñoz-Mérida A, González-Plaza JJ, Cañada A, Blanco AM, García-López MDC, Rodríguez JM, et al. (2013) De novo assembly and functional annotation of the olive (Olea europaea) transcriptome. DNA Res 20: 93–108. pmid:23297299
  23. 23. Koski LB, Gray MW, Lang BF, Burger G (2005) AutoFACT: an automatic functional annotation and classification tool. BMC Bioinformatics 6: 151. pmid:15960857
  24. 24. Brown N a, Antoniw J, Hammond-Kosack KE (2012) The predicted secretome of the plant pathogenic fungus Fusarium graminearum: a refined comparative analysis. PLoS One 7: e33731. pmid:22493673
  25. 25. Saitou N, Nei M (1987) The neighbor-joining method: a new method for reconstructing phylogenetic trees. Mol Biol Evol 4: 406–425. pmid:3447015
  26. 26. Tamura K, Peterson D, Peterson N, Stecher G, Nei M, Kumar S (2011) MEGA5: molecular evolutionary genetics analysis using maximum likelihood, evolutionary distance, and maximum parsimony methods. Mol Biol Evol 28: 2731–2739. pmid:21546353
  27. 27. Felsenstein J (1985) Confidence limits on phylogenies: an approach using the bootstrap. Evolution (N Y) 39: 783–791.
  28. 28. Vela-Corcía D, Bellón-Gómez D, López-Ruiz F, Torés JA, Pérez-García A (2014) The Podosphaera fusca TUB2 gene, a molecular “Swiss Army knife” with multiple applications in powdery mildew research. Fungal Biol 118: 228–241. pmid:24528644
  29. 29. Pfaffl MW (2001) A new mathematical model for relative quantification in real-time RT-PCR. Nucleic Acids Res 29: 2002–2007. pmid:11328886
  30. 30. Grell MN, Mouritzen P, Giese H (2003) A Blumeria graminis gene family encoding proteins with a C-terminal variable region with homologues in pathogenic fungi. Gene 311: 181–192. pmid:12853153
  31. 31. Pazzagli L (1999) Purification, Characterization, and Amino Acid Sequence of Cerato-platanin, a New Phytotoxic Protein from Ceratocystis fimbriata f. sp. platani. J Biol Chem 274: 24959–24964. pmid:10455173
  32. 32. Kulkarni R, Kelkar H, Dean R (2003) An eight-cysteine-containing CFEM domain unique to a group of fungal membrane proteins. Trends Biochem Sci 28: 118–121. pmid:12633989
  33. 33. Schneiter R, Di Pietro A (2013) The CAP protein superfamily: Function in sterol export and fungal virulence. Biomol Concepts 4: 519–525. pmid:25436594
  34. 34. Leuthner B, Aichinger C, Oehmen E, Koopmann E, Müller O, Müller P, et al. (2005) A H2O2-producing glyoxal oxidase is required for filamentous growth and pathogenicity in Ustilago maydis. Mol Genet Genomics 272: 639–650. pmid:15578222
  35. 35. Fedorova ND, Khaldi N, Joardar VS, Maiti R, Amedeo P, Anderson M, et al. (2008) Genomic islands in the pathogenic filamentous fungus Aspergillus fumigatus. PLoS Genet 4: e1000046. pmid:18404212
  36. 36. Conesa A, Götz S, García-Gómez JM, Terol J, Talón M, Robles M, et al. (2005) Blast2GO: a universal tool for annotation, visualization and analysis in functional genomics research. Bioinformatics 21: 3674–3676. pmid:16081474
  37. 37. Iorizzo M, Senalik D a, Grzebelus D, Bowman M, Cavagnaro PF, Matvienko M, et al. (2011) De novo assembly and characterization of the carrot transcriptome reveals novel genes, new markers, and genetic diversity. BMC Genomics 12: 389. pmid:21810238
  38. 38. Weßling R, Schmidt SM, Micali CO, Knaust F, Reinhardt R, Neumann U, et al. (2012) Transcriptome analysis of enriched Golovinomyces orontii haustoria by deep 454 pyrosequencing. Fungal Genet Biol 49: 470–482. pmid:22521876
  39. 39. Guerrero-Fernández D., Fernández-Pozo N., Bocinos A., Bautista R, Claros MG (2012) Highly efficient pre-processing of NGS reads and identification of full-length genes. XI Jornadas de Bioinformática. Barcelona, Spain. p. 38.
  40. 40. Thomas SW, Rasmussen SW, Glaring M a, Rouster J a, Christiansen SK, Oliver RP (2001) Gene identification in the obligate fungal pathogen Blumeria graminis by expressed sequence tag analysis. Fungal Genet Biol 33: 195–211. pmid:11495576
  41. 41. Both M, Csukai M (2005) Gene expression profiles of Blumeria graminis indicate dynamic changes to primary metabolism during development of an obligate biotrophic pathogen. Plant Cell 17: 2107–2122. pmid:15951491
  42. 42. Both M, Eckert SE, Csukai M, Müller E, Dimopoulos G, Spanu PD (2005) Transcript profiles of Blumeria graminis development during infection reveal a cluster of genes that are potential virulence determinants. Mol Plant Microbe Interact 18: 125–133. pmid:15720081
  43. 43. Tollenaere C, Susi H, Nokso-Koivisto J (2012) SNP Design from 454 Sequencing of Podosphaera plantaginis transcriptome reveals a genetically diverse pathogen metapopulation with high levels of mixed-genotype infection. PLoS One 7: 1–10. pmid:23300684
  44. 44. Soanes D, Talbot N (2006) Comparative genomic analysis of phytopathogenic fungi using expressed sequence tag (EST) collections. Mol Plant Pathol 7: 61–70. pmid:20507428
  45. 45. Sohn J, Voegele RT, Mendgen K, Hahn M (2000) High level activation of vitamin B1 biosynthesis genes in haustoria of the rust fungus Uromyces fabae. Mol Plant Microbe Interact 13: 629–636. pmid:10830262
  46. 46. Cooper TG, Chisholm VT, Cho HJ, Yoo HS (1987) Allantoin transport in Saccharomyces cerevisiae is regulated by two induction systems. J Bacteriol 169: 4660–4667. pmid:2820939
  47. 47. Masselot M., De Robichon-Szulmajster H (1975) Methionine biosynthesis in Saccharomyces cerevisiae. I. Genetical analysis of auxotrophic mutants. Mol Gen Genet 139: 121–132. pmid:1101032
  48. 48. Pain A, Woodward J, Quail M a, Anderson MJ, Clark R, Collins M, et al. (2004) Insight into the genome of Aspergillus fumigatus: analysis of a 922 kb region encompassing the nitrate assimilation gene cluster. Fungal Genet Biol 41: 443–453. pmid:14998527
  49. 49. Dean R a, Talbot NJ, Ebbole DJ, Farman ML, Mitchell TK, Orbach M, et al. (2005) The genome sequence of the rice blast fungus Magnaporthe grisea. Nature 434: 980–986. pmid:15846337
  50. 50. Singer MJ, Marcotte B, Selker EU (1995) DNA methylation associated with repeat-induced point mutation in Neurospora crassa. Mol Cell Biol 15: 5586–5597. pmid:7565710
  51. 51. Spanu PD (2012) The genomics of obligate (and nonobligate) biotrophs. Annu Rev Phytopathol 50: 91–109. pmid:22559067
  52. 52. Hane J, Williams A, Taranto A, Solomon P, Oliver R (2015) Repeat-Induced Point Mutation: A Fungal-Specific, Endogenous Mutagenesis Process. In: van den Berg MA, Maruthachalam K, editors. Genetic Transformation Systems in Fungi, Volume 2 SE—4. Fungal Biology. Springer International Publishing. pp. 55–68. https://doi.org/10.1007/978-3-319-10503-1_4
  53. 53. Caracuel Z, Martínez-Rocha AL, Di Pietro A, Madrid MP, Roncero MIG (2005) Fusarium oxysporum gas1 encodes a putative beta-1,3-glucanosyltransferase required for virulence on tomato plants. Mol Plant Microbe Interact 18: 1140–1147. pmid:16353549
  54. 54. Nowara D, Gay A, Lacomme C, Shaw J, Ridout C, Douchkov D, et al. (2010) HIGS: host-induced gene silencing in the obligate biotrophic fungal pathogen Blumeria graminis. Plant Cell 22: 3130–3141. pmid:20884801
  55. 55. Sbrana F, Bongini L, Cappugi G, Fanelli D, Guarino A, Pazzagli L, et al. (2007) Atomic force microscopy images suggest aggregation mechanism in cerato-platanin. Eur Biophys J 36: 727–732. pmid:17431609
  56. 56. Guyon K, Balagué C, Roby D, Raffaele S (2014) Secretome analysis reveals effector candidates associated with broad host range necrotrophy in the fungal plant pathogen Sclerotinia sclerotiorum. BMC Genomics 15: 336. pmid:24886033
  57. 57. DeZwaan TM (1999) Magnaporthe grisea Pth11p Is a Novel Plasma Membrane Protein That Mediates Appressorium Differentiation in Response to Inductive Substrate Cues. Plant Cell Online 11: 2013–2030. pmid:10521529
  58. 58. Choi W, Dean R (1997) The adenylate cyclase gene MAC1 of Magnaporthe grisea controls appressorium formation and other aspects of growth and development. Plant Cell 9: 1973–1983. pmid:9401122
  59. 59. Gibbs GM, Roelants K, O’Bryan MK (2008) The CAP superfamily: cysteine-rich secretory proteins, antigen 5, and pathogenesis-related 1 proteins-roles in reproduction, cancer, and immune defense. Endocr Rev 29: 865–897. pmid:18824526
  60. 60. García-Mayoral MF, Hollingworth D, Masino L, Díaz-Moreno I, Kelly G, Gherzi R, et al. (2007) The structure of the C-terminal KH domains of KSRP reveals a noncanonical motif important for mRNA degradation. Structure 15: 485–498. pmid:17437720
  61. 61. Zhang Y, Zhang K, Fang A, Han Y, Yang J, Xue M, et al. (2014) Specific adaptation of Ustilaginoidea virens in occupying host florets revealed by comparative and functional genomics. Nat Commun 5: 3849. pmid:24846013