- Research article
- Open Access
Transcriptome analysis of the white pine blister rust pathogen Cronartium ribicola: de novo assembly, expression profiling, and identification of candidate effectors
© Liu et al. 2015
Received: 9 March 2015
Accepted: 18 August 2015
Published: 4 September 2015
The fungus Cronartium ribicola (Cri) is an economically and ecologically important forest pathogen that causes white pine blister rust (WPBR) disease on five-needle pines. To cause stem cankers and kill white pine trees the fungus elaborates a life cycle with five stages of spore development on five-needle pines and the alternate host Ribes plants. To increase our understanding of molecular WP-BR interactions, here we report genome-wide transcriptional profile analysis of C. ribicola using RNA-seq.
cDNA libraries were constructed from aeciospore, urediniospore, and western white pine (Pinus monticola) tissues post Cri infection. Over 200 million RNA-seq 100-bp paired-end (PE) reads from rust fungal spores were de novo assembled and a reference transcriptome was generated with 17,880 transcripts that were expressed from 13,629 unigenes. A total of 734 unique proteins were predicted as a part of the Cri secretome from complete open reading frames (ORFs), and 41 % of them were Cronartium-specific. This study further identified a repertoire of candidate effectors and other pathogenicity determinants. Differentially expressed genes (DEGs) were identified to gain an understanding of molecular events important during the WPBR fungus life cycle by comparing Cri transcriptomes at different infection stages. Large-scale changes of in planta gene expression profiles were observed, revealing that multiple fungal biosynthetic pathways were enhanced during mycelium growth inside infected pine stem tissues. Conversely, many fungal genes that were up-regulated at the urediniospore stage appeared to be signalling components and transporters. The secreted fungal protein genes that were up-regulated in pine needle tissues during early infection were primarily associated with cell wall modifications, possibly to mask the rust pathogen from plant defenses.
This comprehensive transcriptome profiling substantially improves our current understanding of molecular WP-BR interactions. The repertoire of candidate effectors and other putative pathogenicity determinants identified here are valuable for future functional analysis of Cri virulence and pathogenicity.
White pine blister rust (WPBR) caused by Cronartium ribicola (Cri) is a devastating fungal disease of five-needle pines (subgenus Strobus) around world. Since the early 20th century, when it was accidently introduced into North America, WPBR has spread over the continent where native five-needle pine species were distributed, with severe ecological and economic damages. WPBR has decreased western white pine (WWP, Pinus monticola) populations up to 90 %, and also seriously disturbed forest ecosystems of other native five-needle pines. Breeding programs for selection of genetic resistance to WPBR have been undertaken in sugar pine (P. lambertiana), WWP (P. monticola), eastern white pine (P. strobus), whitebark pine (P. albicaulis), limber pine (P. flexilis) and others with significant progress . Both major gene resistance (MGR) and quantitative disease resistance have been discovered and utilized in the five-needle pine breeding and conservation programs. MGR has been reported in four five-needle pine species: P. lambertiana, P. monticola, P. strobiformis, and P. flexilis ; and it is characterized by hypersensitive response (HR)-like reactions in the pine needles infected by C. ribicola . This reaction is characterized by a rapid induction of host cell death and subsequent localized tissue necrosis, which prevents spread of the rust mycelium to vascular stem tissue. However, Cri virulent races (vcr1 and vcr2) have arisen and the corresponding breakdown of MGR have been documented in regions where resistant P. lambertiana and P. monticola are planted . Therefore, WPBR is still the major constraint to re-plantation of five-needle pines for the forest industry and restoration of ecosystems in western North America.
During the initial infection stage by basidiospores, a typical haustorium-pine cell interface was observed in the WPBR pathosystem . Haustorially expressed secreted proteins (HESPs), including effectors, are proposed to play key roles in manipulating the immune responses of host cells . Effectors are microbial and pest secreted molecules that alter host-cell processes or structures to generally promote their own lifestyle. Effector functions are as diverse as suppressing immune responses to enhancing access to nutrients . There are at least four avirulence (Avr) effectors (avcr1 to avcr4) and two virulence effectors (vcr1 and vcr2) in C. ribicola [2, 4]. However, the molecular identities of these Cri effectors are unknown, and as is how they reprogram biological processes to facilitate rust pathogen growth and to mitigate host defenses in five-needle pines. Virulence effectors overcome plant immunity by modifying host metabolism to support pathogen growth and spread, which is termed as effector-triggered susceptibility (ETS). Avr effectors are recognized by specific host receptors encoded by plant resistance (R) genes to activate a host defense response termed as effector-triggered immunity (ETI) . Some Avr effectors translocate into plant cells where their activity is recognized for re-programming plant transcription, metabolism, and defense during pathogen infection . The virulence effectors play a crucial role in virulent fungal races overcoming plant MGR by escaping ETI.
Next generation sequencing technologies and bioinformatics have rapidly advanced in recent years. Genome sequences of four rust fungal species have been reported: Melampsora larici-populina (Mpl), M. lini (Mli), Puccinia graminis f.sp. tritici (Pgt), and P. striiformis f.sp. tritici (Pst) [10–13]. Based on bioinformatic analyses and gene expression studies of the infected host tissues or haustoria, 8 to12% of the predicted proteomes of these rust fungi corresponds to secreted proteins as candidate effectors. RNA-seq has become an instrumental assay for the analysis of multiple aspects of fungal transcriptomes, such as transcriptional profiling [14–17], identification of putative virulence genes , secretome analysis [19, 20], gene models and alternative transcript splicing , and structural gene annotations . These genomic studies provide valuable research resources and tools in understanding the dynamics of plant-rust pathogen interactions.
To provide genomic insight into in planta transcriptome profiles of the WPBR pathosystem, we performed de novo sequencing of the Cri transcriptome using RNA-seq analysis during infection of WWP and the alternate host, Ribes. We assessed Cri transcriptomes and predicted 734 secreted proteins. Global gene expression profiling allowed us to characterize transcript expression of genes that have putative key roles during biotrophic infection and mycelial growth inside host tissues. In particular, identification of candidate effectors provides novel insights into molecular WP-BR interactions, which until now have been poorly understood. This first large-scale genomics resource of the WPBR pathosystem provides the relevant sequences and gene regulation information for gene discovery, functional and population genomics, comparative analyses, and future efforts to annotate its genome. This resource permits the study of this rust fungus at the genome level as well as providing data for researchers working with other Cronartium species.
De novo assembly of Cri transcriptomes
Fungal samples at Cri life cycle stages of aeciospore, urediniospore, and mycelium growth in infected WWP needles and cankered stems were used for RNA-seq analysis (Fig. 1). We used aeciospore- and urediniospore-derived RNA-seq reads (>200 million 100-bp PE reads from six cDNA libraries) in de novo assembly for construction of a Cri reference transcriptome (see method section), which resulted in 17,880 transcripts expressed from 13,629 unigenes for further analysis. This Cri reference transcriptome had a total length of 21.7Mb, N50 of 2,084-bp, and average length of 1,213-bp (Additional file 1: Table S1). TransDecoder predicted the Cri reference proteome with a total of 17,264 putative proteins with minimum length of 50 amino acids, 9,228 (53.5 % of the total) open reading frames (ORFs) were complete sequences (Additional file 1: Table S2). The Cri reference transcriptome (i.e., 17,880 contigs >200 nt) has been deposited at GenBank as a transcriptome shotgun assembly (TSA) under accession GBSG00000000.
RNA-seq reads from infected pine stem tissues were used for de novo assembly of dual transcriptomes of C. ribicola and P. monticola. By alignment analysis of dual transcriptomes with the Cri reference transcriptome generated here and P. monticola stem reference transcriptome , a total of 23,671 sequences were separated as the Cri associated transcripts that were in planta expressed in the infected stems (Additional file 1: Table S1).
Annotation of the Cri reference transcriptome
Compared with Cri cDNA sequences (AF232039 and AF353616) available from Genbank, de novo assembled transcripts showed 100 % identity to them. Over 94 % of the core eukaryotic gene (CEG) set, which contains 2,748 CEG variants from six eukaryotic genomes , matched peptides of the Cri reference proteome, with an average of 89 % of the protein length aligned (STD: ± 17 %; BLASTp e-value < e-5). BLASTp analysis of the Cri reference proteome against Mlp-, Mli-, Pst-, and Pgt-proteomes revealed that 51–59 % of Cri proteins were conserved between Cri and other rust fungi (Additional file 1: Table S3). BLASTp with reciprocal best hits (RBH) identified 4,986 orthologs (36.6 % of total Cri genes) between Cri and Mlp. Similarly, OrthoMCL analysis assigned putative Cri proteins into 4,104 ortholog groups. The number of rust fungal orthologs from C. ribicola is very close to the reports on other rust pathogens [11, 12], indicating that the core genes are well covered in the Cri reference transcriptome.
Gene annotation revealed that about 60 % of total transcripts (10,667 out of 17,880) showed homology hits (E values < 10−5) in a search against the NCBI nr database, and 43 % of them (7,676) were assigned at least one gene ontology (GO) term. A BLASTx top-hit species distribution of gene annotations showed highest homology to Mlp (63 %), followed by Pgt (15 %), Baudoinia compniacensis (1 %), and Dothistroma septosporum (0.9 %) (Additional file 2: Figure S1). This result suggests that Cri may be closest to Mlp at the transcriptome level based on the databases reported so far.
After assigning Cri transcripts to the categories of cellular processes, molecular functions, and cellular components (Additional file 3: Figure S2), GO enzyme code mapping further identified 372 unique enzyme codes for 2,429 Cri proteins, which were involved in 113 metabolic pathways. The dbCAN v3.0 HMM-based CAZy annotation  identified 310 Cri CAZy-like proteins with assignment to 89 CAZy families. Of all annotated CAZymes, 41.8 % were grouped into 35 families of glycosyl hydrolases (GH), 31.6 % to 25 families of glycosyl transferases (GT), 12.6 % to seven families of carbohydrate esterases (CE, not including CE10), 3.5 % to four polysaccharide lyase (PL) families, 4.4 % to 11 families of carbohydrate binding modules (CBM), and 6.0 % to seven families of redox enzymes that act in conjunction with CAZymes (AA) (Additional file 1: Table S4). The top GH families are GH5 (cellulases/hemicellulases), GH18 (chitinases), GH16 (β-1,3-glucanas), and GH47 (α-1,2-mannosidases), containing 18, 13, 12, and 10 proteins respectively, consistent with recent findings in Pst, Pgt, and Mlp [11, 26]. The three most abundant CE families were CE4 (chitin deacetylases), CE1 (acetyl xylan esterases), and CE8 (pectin methylesterases). Among the GT group, GT2 (cellulose/chitin synthase), GT32 (mannosyltransferases), and GT90 (xylosyltransferases) were extensively expanded with more expressed genes than others (Additional file 1: Table S4). A BLASTp search against the Transporter Classification Database  identified 1,195 Cri proteins (7 % of the proteome) related to transporter activity and they were assigned to 116 transporter families (Additional file 1: Table S5). The most abundant transporter family was the major facilitator superfamily (MFS), functioning for the uptake of sugars, oligosaccharides, amino acids, metabolites, and others.
Identification of secreted proteins and candidate effectors
Of annotated Cri secreted proteins, 85 belonged to 39 families of CAZymes (Additional file 1: Table S4), and 36 % of the Cri secretome contained distinct Pfam-A domains (Additional file 1: Table S6). Pfam domains abundant in secreted proteins included peptidases or proteases (such as Asp domain), CFEM (cysteine-rich fungal effector motif), Cu-oxidases, DPBB-1 (double psi beta-barrel structure), and GPI-anchored domains. Numerous fungal proteins with these domains have been reported with functional involvement in fungal pathogenicity. Other Pfam domains related to fungal pathogenicity, such as CAP (cysteine-rich secretory proteins), HSP (heat-shock protein), DnaJ/DnaJ-X (also known as HSP40), and thaumatin, were also identified in multiple Cri secreted proteins (Additional file 1: Table S6).
To recover additional secreted proteins among partial ORF sequences, the Cri reference proteome was used as a query in a BLASTp search against the Cri secreted protein dataset. To generate a more complete dataset of candidate effectors, Cri candidate effectors were found using a BLASTp search of the Cri reference proteome against candidate effectors from other rust fungis , then further filtered by a BLASTp search against the PHI database . A total of 2,770 proteins (16 % of the reference proteome) were identified as Cri candidate effectors, of which 67.4 % (1868) contained a total of 907 distinct Pfam domains by Pfam annotation. Among these annotated domains, 152 domains were selected because the 881 Cri candidate effectors with these Pfam domains also showed significant homologies to the PHI proteins documented with phenotypic effects on virulence and pathogenicity, such as hypervirulence, loss of pathogenicity, reduced virulence, etc. (Additional file 1: Table S7). The largest clusters of protein families within the 881 candidate effectors were protein kinases (pkinase domain), small GTPases (Ras and Arf domains), CAZymes (GH18, GH72, and others), DEAD/DEAH box helicases, WD40 proteins, HSP70 and HSP90 proteins, and proteins with AAA domains and RNA recognition motifs (RRM).
Analysis of transcriptome profiles
Mapping of RNA-seq reads using Cronartium ribicola reference transcriptome (17,880 contigs)
Mapped reads (n)
Total reads (n)
Mapped reads (%)
Expressed transcript/unigene (n)
Infected WWP stem
Infected WWP needle (4 dpi)
Due to their functional relevance to virulence and pathogenicity, secreted proteins, candidate effectors, and CAZymes were examined in detail for regulation of their transcript expression by heatmap analysis. Of 734 secreted protein genes, 51.5 % of them were identified as DEGs and the heatmap showed six transcript expression patterns: I, III, and VI with up-regulation at rust spore developmental stages, and II, IV, and V with in-planta up regulation (Fig. 5a). Genes encoding secreted proteins in pattern V exhibited up-regulation in both infected pine needles and cankered stem. DEGs accounted for 29.7 % of 881 annotated Cri candidate effectors that encompassed all six transcript expression patterns, among them patterns II, III-b, IV, and V show transcripts with in-planta up-regulation (Fig. 5b). 43.5 % of Cri CAZymes were identified as DEGs and they were clustered into four expression patterns by heatmap analysis (Fig. 5c). Although many CAZymes were highly expressed in urediniospores, CAZyme genes in subclusters I-a, II-b, II-d, and II-f were significantly up-regulated only in the cankered stems (Fig. 5c).
The proteins belonging to fungal gene families with multiple members were generally distributed in different clusters or subclusters on the expression heatmaps. Some members were expressed at similar levels in the fungal cells from both infected pine stems and Ribes leaves while other members were expressed in contrasting patterns between these two infected hosts (Additional file 1: Table S9). As exceptions to this general observation, members of seven CAZy families (CE8, GH2, GH16, GT2, GT26, GT31, and GT43) and proteins with CFEM, ferritin_2, zf-C2H2, and RVT-1 domains were highly expressed in infected Ribes leaves. In contrast, gene families for DnaJ-X/HSP90, FKBP, peptidase-S10, superoxide dismutases (Fe-SOD), β-1,3-glucanosyltransglycosylases (GH72), ATP synthases (ATP-synt_ab), the cysteine-rich secretory proteins, antigen 5, and pathogenesis-related 1 proteins (CAP), citrate synthases (Citrate_synt), pectate lyases (Pec_lyase_C), and polysaccharide lyases (PL1/PL3) were highly expressed in infected pine stems (Additional file 1: Table S9).
To validate whether the RNA-seq analysis reflected their gene expression, 21 genes were selected as representatives of secreted proteins, CAZymes, and PHI proteins and they were used to perform qRT-PCR analysis (Additional file 1: Table S10). Relative expression values were highly variable among biological repeats, but this qRT-PCR analysis confirmed the general expression patterns as revealed by RNA-seq analysis (Additional file 1: Table S11). Additional file 4: Figure S3 shows that the fold changes of transcript expression levels measured by qRT-PCR and RNA-seq analyses were highly correlated (Pearson correlation R2 > 0.94) with statistical significance (p < 0.00001).
DEGs up-regulated in infected pine stem
DEGs up-regulated at life cycle stages of aeciospore and urediniospore development
Compared with infected stems, 1,191 transcripts were up-regulated at the aeciospore stage. GO term enrichment analysis by Fisher’s test showed aeciospore-upregulated DEGs participated in signal transduction/response to stimulus (six GO terms) (Fig. 6). A few main groups of DEGs encode for small GTPases, MAPK, and histidine kinases (Additional file 1: Table S12).
Similarly, there were 2,082 transcripts up-regulated at the urediniospore stage compared to infected stems. Fisher’s test identified 16 GO terms enriched in these urediniospore-upregulated DEGs (Fig. 6). Apart from genes in signal transduction pathways, other urediniospore-upregulated DEGs were involved in cell division/cytokinesis, regulation of biological processes, and transport/localization. Transport families were one of the major components of the urediniospore transcriptome profile, 31 of which were upregulated during urediniospore development (Additional file 1: Table S12).
Compared with aeciospores, 302 DEGs were developmentally up-regulated at the urediniospore stage. GO analysis revealed that these DEGs have putative functions in organic substance metabolic process, nitrogen compound metabolic process, biosynthetic process, regulation of biological process, establishment of localization, cellular response to stimulus, cellular component biogenesis, single organism signalling, and single-organism developmental process (Additional file 1: Table S13).
Identification of Cri genes expressed at the early stage of needle infection
RNA-seq data from basidiospore-infected WWP needles at 4 dpi was used to identify Cri genes expressed in compatible (cr2/cr2 vs. avcr2) and incompatible (Cr2/- vs. avcr2) WP-BR interactions. A total of 1,722 and 818 transcripts were detected in susceptible (cr2/cr2) and resistant (Cr2/-) needles at 4 dpi respectively (Fig. 4), including transcripts encoding 145 unique secreted proteins. A Z-test revealed 25 transcripts with expression levels significantly higher in resistant needles than in susceptible needles. Although they were not well annotated, six of them encoded proteins with distinct domains (including one with signal peptide) for potential functions as identified by InterProScan in the BLAST2GO program. In contrast, 234 transcripts were detected with expression levels significantly higher in compatible (cr2/cr2 vs. avcr2) interactions than in incompatible (Cr2/- vs avcr2) interactions, 83 of which shared homology with sequences in the NCBI nr database and 44 of which were assigned GO terms (Additional file 1: Table S14). These annotated DEGs encoded histones, cyclins, secreted proteins with unknown function (including one Hesp-379-like protein), CAZymes (GH5/16/17/23/26; GT32; CE4; and CBM13), proteases, expansins, and enzymes involved in oxidation-reduction process. A large number of these DEGs are known to be involved in molecular modification of cell walls.
In planta RNA-seq analysis of the WPBR pathosystem
In this study we generated genome-wide transcriptome and secretome profiles of C. ribicola at three stages of its life cycle. To our knowledge, this is the first report of the pathogen transcriptome and dual transcriptomes of pine tissues infected by C. ribicola using RNA-seq. In the present study we used an approach of consensus assembly among biological repeats for each sample to remove potentially contaminated raw data for generation of a reference transcriptome. High mapping ratio of RNA-seq reads (>85 %) to the reference transcriptome indicated that this data processing approach using rust fungal spore samples was satisfactory for de novo assembly of a biotrophic pathogen transcriptome without a reference genome sequence. For biotrophic fungi such as Cri, using spores for genomics research is much more straightforward than using in-vitro cultures, which tend to be recalcitrant and/or have extremely slow growth rates. BLAST and GO analyses showed that the de novo assembled transcriptome is almost complete, being similar in size to the recently reported transcriptomes of other rust fungi [11, 29]. Profiling of the Cri transcriptomes revealed that the majority of expressed genes (>76 % of the reference transcriptome) were detectable at the development stage of either aeciospore or urediniospore. Over 60 % of the reference transcriptome was expressed at all three life cycle stages analysed in this study.
Reassembly of unmapped RNA-seq reads from fungal spore cDNA libraries using the CLC program showed that 31.7 % of them remained as singletons, and others were de-novo re-assembled into ~51,000 short contigs (N50 = 540 bp and average length = 492 bp). The largest proportion (47.3 % of the total) of the reassembly might have originated from aphids, some may have fungal origin (32.0 % of the total), and other short contigs likely represent a set of contaminant sequences from host plants (8.1 % of the total) and bacteria (6.7 % of the total) as revealed by BLASTx analysis at E cut off value of e-5 (data not shown). Aphid-like sequences appeared to be associated with some rust-infected Ribes leaves where urediniospore samples were collected for RNA-seq analysis. Reassembly analysis of unmapped reads suggests that extraction of consensus sequences as a reference transcriptome may be an effective strategy for removal of contamination in RNA-seq analysis of field or green-house biosamples.
Without known reference sequences for host and pathogen genomes, in planta transcriptome analysis is a challenging task , especially for the WPBR pathosystem with alternate hosts and a long infection process that can take up to a few years. RNA-seq based dual transcriptome profiling has been recently reported on rice blast  and target leaf spot of sorghum . Although infected pine stems exhibited a wide variation of disease symptoms, our RNA-seq analysis demonstrated a good reproducibility of the gene expression patterns among sample replicates harvested from multiple infected seedlings. Analysis of dual transcriptomes in infected stems revealed a similar coverage of the rust fungal transcriptome as those at spore developmental stages, suggesting that C. ribicola is physiologically active inside the infected host tissues. These results demonstrate that dual transcriptome analysis is efficient in the WPBR pathosystem, and more secreted proteins and candidate effectors were detected in the infected stem than in spore samples. This research strategy also allowed comparison of transcriptome profiles and further identification of DEGs regulated in planta during mycelial growth, which may be applicable to other biotrophic conifer pathosystems.
C. ribicola candidate effectors
Numerous proteins secreted by pathogens are known to function as effectors in modulating host defence and metabolism . An effector displays a property of either virulence or avirulence, depending on whether the host plant processes a corresponding immunoreceptor that recognizes the effector. Effectors enable pathogens to successfully colonize plant tissues and facilitate disease, but they function as Avr factors when the host acquires discrete recognition capabilities that trigger immunity during an incompatible plant-microbe interaction. A repertoire of effectors is believed to collectively suppress plant basal innate immunity through escaping detection of pathogen-associated molecular patterns (PAMPs) by specific host receptors, and also to constitute a favourable intercellular habitat for mycelium growth and disease development in susceptible host tissues during compatible plant-microbe interaction .
Corresponding to major resistance (R) genes (Cr1-Cr4) in different white pine species , four Cri Avr effectors, avcr1-avcr4, are proposed to be recognised by immunoreceptors encoded by the white pine R genes (Cr1-Cr4). When infected by an avcr race, the needle tissues at local infection sites exhibit HR featured by rapid programmed cell death in the white pine trees carrying an R gene. In contrast, virulent races (vcr1 and vcr2) overcome sugar pine Cr1 and western white pine Cr2, respectively . Effectors vcr1 and vcr2 are hypothesized to allow Cri races to avoid detection by the white pine’s R genes (Cr1 or Cr2), resulting in successful infection of white pine seedlings with MGR.
Most fungal effectors are SSPs shorter than 300 amino acids in length and rich in cysteine [33, 34]. A Cri SSP was found to be accumulated during white pine infection . However, so far no Cri effector has been identified at the molecular level. Recently, a few rust fungal effectors have been identified, including four Mli Avr proteins , Pgt AvrSr22 , and Uromyces fabae transferred protein 1 (RTP1) [38, 39]. Compared with these identified rust fungal effectors, only three Cri secreted proteins (SB-Spr-contig228, SB-Spr-contig262, and Spr121122) were identified as RTP1-homologs. RTP1 homologues were reported in at least 13 other rust fungi, suggesting that this protein family may play a universal role in biotrophic rust fungi . However, whether Cri RTP1-homologs have a similar function as protease inhibitor still awaits a further verification.
In this study 734 unique secreted proteins were predicted in the Cri transcriptome; which is considerably fewer than those reported in Mlp, Pgt, and C. quercuum f. sp. fusiforme genomes [11, 40]. Because ~46 % of the putative protein sequences in the Cri reference proteome were incomplete, we were unable to identify a complete set of Cri secreted proteins in the present study likely due to partial sequences and missed signal peptides. To predict candidate effectors, we used a similar strategy as reported by Nemri et al. . Using this approach with a further search using the PHI dataset, we catalogued a total of 2,770 proteins as candidate effectors in the first draft of the Cri proteome; much less than that reported for the other four rust fungi . As the PHI dataset expands, it is likely that bioinformatics analysis will allow additional candidate effectors to be mined from the genomes or transcriptomes of pathogens. Among 2,770 Cri candidate effectors, 31.8 % of them were characterized using Pfam domain annotation and assignment of potential properties due to similarities to known effectors and pathogenicity-related proteins (Additional file 1: Table S5).
Among the first draft of Cri secretome with 734 unique secreted proteins, only 267 (36.4 % of the total) possessed distinct Pfam-A domains with some functional annotation. Similar to secretomes of other biotrophic fungi [41, 42] the Cri secretome consisted of two main groups: degrading hydrolases (such as secreted CAZymes, secreted proteases, and secreted lipases) (Additional file 1: Table S4) and putative effectors with unknown function. Using a set of candidate effectors available from other rust fungi , we compared Cri with them and identified 301 Cronartium-specific secreted proteins (41 % of the total). Other secreted proteins are conserved among rusts, a large part of which have well-characterized domains, such as proteases, protease inhibitors, and CAZymes. These conserved secreted proteins may provide a valuable resource for further understanding evolution of rust pathogenicity.
The lineage-specific secreted proteins, especially those identified as SSPs, may contain candidate effectors that are likely to be enriched as determinants of host specificity . Although most fungal SSPs have no functional homology in databases available to date, their sequence features (i.e. presence of signal peptide, small size, cysteine-rich, additional conserved motifs, and expression patterns) have been widely used for computational prediction of candidate effectors in fungal genomes or transcriptomes [10–13, 44–46]. Of all the Cri secreted proteins we found, 155 were SSPs. Even though about 82 % of these had no GO term hits in a BLAST2GO search, most of them were expressed in planta, suggesting that they may be specific and essential for the pathogenicity and virulence of C. ribicola. Those Cri lineage-specific SSPs provide a repertoire of candidate effectors for molecular identification of vcr or avcr effectors in a future study.
Regulatory programming of gene expression during host infection
Genome-wide transcriptional profiling has provided a powerful approach to reveal in planta regulation of pathogen virulence factors [45, 47–50]. In order to provide insights into how the fungus programs its biological processes to cause WPBR, we characterized the Cri transcriptome within infected pine stems, noting dynamic changes of expression profiles during infection and disease development relative to expression in the spores. We found that rust fungal genes up-regulated during infection of pine stems were involved in biosynthesis all the way from DNA replication/ metabolisms, nucleosome assembly, RNA transcription, protein translation, to down-stream biosynthesis of various metabolites (steroids, lipids, fatty acids, and others).
We observed several transposons, retrotransposons, helicases, and RNA-directed DNA polymerases were up-regulated in infected stems (Additional file 1: Table S12). Gene regulation is even more important than genetic polymorphism for understanding the source of phenotypical virulence diversity in some pathogens. Phytophthora ramorum transposable elements showed an isolate-dependent expression pattern, and elevated expression of transposable elements was associated with a ‘non-wild’ phenotype . Transposable elements and the DNA repair system have a dramatic impact on genomic diversity . Diversity at genomic regions enriched with transposons is one of mechanisms for rapid evolution of novel effectors in pathogenic microbes . Given that rust mycelium may grow several years inside pine bark tissues, enhanced activities of transposons and retrotransposons may allow these genetic elements to play a pathogenicity-related role in canker disease development.
A series of transcriptional factors showed increased expression in both infected pine stems and infected Ribes leaves, but different gene families or different members of the same families were involved in the regulatory networks specific to each host (Additional file 1: Table S12). This suggests that differential expression of transcriptional factors with co-ordinated functions may be a regulatory mechanism for the rust fungus to fine tune its growth and development on different hosts. Furthermore, regulatory programming in infected Ribes was integrated with many other signalling components, probably up-stream of transcriptional factors, including histone modification, GTase-mediated signalling, MAPK cascade, etc. Like genomes of other rust fungi , we identified a large variety of gene families coding for signal transduction pathways in C. ribicola. Among these signalling gene families, the superfamily of protein kinases was most abundant in the repertoire of Cri candidate effectors. Protein kinases function in many cellular processes, including metabolism, transcription, cell cycle progression, cytoskeletal rearrangement and cell movement, apoptosis, and differentiation. A non-pathogenic U. maydis mutant was restored its pathogenicity by complementation with P. triticina PtMAPK1 . This highlights the importance of energy dependent signaling cascades during Ribes infection, supporting the assumption that these gene families are involved in signal perception mechanisms during rust fungal urediniospore development .
C. ribicola gene expression at early stages of infection in pine needle
Rust fungal genes highly expressed at the early needle infection stage may be of pathogenic importance for establishment of infection colonies inside host tissues. Using RNA-seq data generated previously , we detected difference of rust fungal gene expression between compatible (cr2/cr2 vs. avcr2) and incompatible (Cr2/- vs. avcr2) interactions at 4 dpi. Although mapped reads (11 million vs. 6 million) were almost double in resistant needles compared to susceptible needles, the number of transcripts detected in susceptible needles (1,772 vs. 818) was more than double that in resistant needles.
Because only ~6 % of total RNA-seq reads were derived from expressed rust fungal genes in the infected pine needles at an early infection stage (4 dpi), it could not be compared with other stages of the rust life cycle (Table 1). Using infected pine needles, we compared rust fungal gene expression between compatible and incompatible interactions. DEGs significantly upregulated in susceptible needles included a high number of transcripts encoding cell wall-degrading/modifying enzymes such as CAZymes (GH5, 16, 17, 23, and 26; GT32; CE4; CBM13), proteases, expansin, copper radical oxidases, and a lot of other secreted proteins with unknown function. Most enzymes that act on components of the plant cell wall belong to the GH superfamily. GHs are increasingly being documented as virulence factors in pathogens, including enzymes of nine GH families (GH2, 13, 18, 20, 30, 33, 73, 84, and 101) . At least 44 GH families are reported in fungi . During the early stages of WP-BR interactions, members of five GH families and one CMB family were significantly induced, including exo-β-1,3-glucanase (GH5), endo-1,3-β-glucanase (GH16), endo-1,3-β-glucosidase (GH17), peptidoglycan lyase (GH23), β-1,3-xylanase (GH26), and CMB13 with putative binding activities to GHs, GTs, xylan, and lectins. These enzymes may modify components of pine cell walls, making fungal penetration easier at the initial stages of needle infection. This result showed that degradation of plant cell macromolecules (such as cellulose, hemicellulose and polysaccharides) is a key process for C. ribicola to invade pine needle tissues. Various GH enzymes also have the potential to modify the cell wall of the fungus itself, reducing the effectiveness of the plant enzymes or preventing the elicitation of plant defense responses. For example, CE4 genes encode carbohydrate esterases that deacetylate polymeric carbohydrate substrates such as chitin, acetyl xylan and peptidoglycan. Deacetylation of peptidoglycan is a mechanism used by pathogens to evade innate host defenses .
Serine proteases are associated with virulence and nutrient cycling in many pathogens. Magnaporthe grisea mutant of a serine protease gene (spm1) displays phenotypes of decreased sporulation and appressorial development as well as a greatly attenuated ability to cause disease . As one of the most abundant domains in the Cri secretome, the domain DPBB-1 is found in fungal expansins. Concomitantly, two Cri expansin genes were highly induced in infected susceptible needles, consistent with a previous report that found expression of P. monticola expansins highly down-regulated in resistant needles post rust infection . Expansins are well-known in loosening cell walls by inducing the slippage of cellulose micro fibrils. Loosening the cell wall is necessary for plant growth, but it also makes the plant vulnerable to pathogen attack. Expansins induced by pathogen-secreted indole-3-acetic acid (IAA) increase rice disease symptoms . A Trichoderma expansin is involved in colonization of plant roots and apparently elicits plant defense responses . Of 540 candidate effectors detected at early needle infection stage, many of them were induced as predicted secreted proteins but with unknown function. In general, apoplastic effectors are SSPs with primarily inhibitory effects on host proteases, hydrolases, glucanases, and other lytic enzymes, protecting the pathogen cell wall or neutralizing antimicrobial molecules released during the host defense response . Cell wall modification by CAZymes, proteases, expansins, and other proteins seems important for successful fungal colonization in the WPBR pathosystem.
Other annotated DEGs up-regulated during the early stages of needle infection include cyclin, glutathione-S-transferases (GST), cytochrome P450-like TATA box binding protein (TBP), and copper radical oxidase (CRO). Cyclins control the progression of cells through the cell cycle by activating cyclin-dependent kinase enzymes, and GSTs represent an extended family involved in detoxification processes. TBP plays important endogenous and exogenous roles in oxidative metabolism , and CRO contributes to extracellular peroxide production, which is linked to hyphal growth and pathogenicity . Such DEGs may participate in the Cri response to reactive oxygen species released by white pine needle cells as a host defense mechanism. Overall, enhanced expression implies that these DEGs play a role in compatible WP-BR interactions, most likely by manipulating host defense (such as suppression of oxidative burst) and assisting migration through the host tissues.
De novo sequencing of the Cri transcriptome has been employed to identify Cri proteins involved in compatible WP-BR infections. Global expression profiling of the Cri transcriptome, secretome, and effectorome provides novel insights into the molecular pathogenicity of this important forest biotrophic fungus. RNA-seq analysis revealed DEGs at an early infection stage in the needles and at a later infection stage in pine stem cankers. A significant portion of the identified DEGs were catalogued as candidate effectors, especially those predicted to be secreted proteins. These candidate effectors potentially function in modification of the host cell wall to suppress plant defenses, allowing the rust pathogen to colonize susceptible needle tissues. Up-regulation of other rust fungal proteins in the infected stem indicates that the rust fungus has well adapted to the mycelium growth habitat by actively producing enzymes for biosyntheses of various cellular components. These findings support the existing biotrophic pathogenesis model for the WPBR pathosystem, and present a suite of putative effectors potentially functioning at various stages of the rust life cycle, as well as information regarding the differential use of unique members of complex gene families.
Because a high number of genes are Cronartium-specific and expressed as hypothetical proteins during the disease process, further research is needed to fully understand their involvement in pathogenicity. A future study may focus on identifying variants of Cri candidate effectors by global comparison of transcriptomes between avcr and vcr races. As more genetic lineages among populations of this rust fungus are identified, more races will be sequenced to explore association of non-synonymous or functional SNPs of the candidate effectors with virulence levels. Potential pathogenic importance of candidate effectors may be dissected by evolution and association genetics analyses, which will narrow down the number of candidates for functional verification to determine which ones play a key role in resistant or susceptible responses of five-needle pines. Characterization of Cri effectors will allow a more comprehensive understanding of how rust fungal effectors are recognized by R proteins in white pines. With candidate R genes identified in WWP , a final characterization of molecular determinants in disease development will provide effective management tools for operational application in breeding programs of five-needle pines as well as for rating of rust hazard in forest ecosystems.
Fungal and plant materials
C. ribicola aeciospores were collected from infected WWP stems before blisters were broken from Coombs, Vancouver Island, British Columbia, Canada in May 2013, and they were used to inoculate black currant (Ribes nigrum, cultivar Ben Nevis). When urediniospores began to develop, rust samples (including urediniospores as well as mycelium) were collected from Ribes leaf surfaces. Infected stems showing disease symptoms of discoloured bark tissues were collected from 20-month-old susceptible (cr2/cr2) WWP seedlings ~14 months post C. ribicola infection as described previously . All rust isolates were avirulent (avcr2) and each sample was harvested with three biological repeats using liquid nitrogen and stored at −80 °C before RNA extraction.
RNA-seq analysis and de novo transcriptome assembly
Total RNAs were extracted from rust samples and infected host tissues following a protocol described previously . Messenger RNA (mRNA) was separated using an RNA-seq sample preparation kit (Illumina). cDNA libraries were constructed with specific 6-bp nucleotide bar-coding tags. Tagged cDNA libraries were pooled in equal ratios and used for 100-bp PE sequencing on the Illumina HiSeq2000 instrument (Illumina, San Diego, CA, USA) at the National Research Council of Canada (Saskatoon, Canada). The raw Illumina RNA-seq 100-bp PE sequences of C. ribicola spores were deposited in the NCBI SRA under accession number SRR1583557-1583540, SRR1583545, and SRR1583552.
Raw reads were first trimmed using Trimmomatic with default settings at ILLUMINACLIP:TruSeq3-PE.fa:2:30:10 LEADING:3 TRAILING:3 SLIDINGWINDOW:4:15 MINLEN:36 . As infected white pine tissues contained both host and rust fungal transcriptomes and rust samples (aeciospores and urediniospores) contained only fungal transcriptomes, their RNA-seq reads were assembled separately. We used the trimmed reads from six cDNA libraries of aeciospores and urediniospores to generate a preliminary assembly by de novo assembly using Trinity (version: trinityrnaseq_r2013-02-25) with default k-mer length of 25 . Following a preliminary assembly of RNA-seq reads, contigs were designated as consensus transcriptome sequences if they shared at least one unique mapping read in each of three biological repeats for each sample, and a foreign contamination screen was used to filter bacterial-, animal-, or plant-like sequences from the dataset using the NCBI BLAST pipeline at a cut-off of 100 nt and 98 % identity. The resulting transcript dataset was considered as a Cri reference transcriptome for further analysis, and it has been deposited at DDBJ/EMBL/GenBank under accession GBSG01000000 and the BioProject ID PRJNA261951.
To verify de novo assembly quality, putative open reading frames (ORFs) were identified within transcripts by TransDecoder, which is integrated into Trinity, at minimum protein length of 50. Reciprocal BLASTp analysis was performed among the proteomes of C. ribicola and other rust fungal species: Mlp with16,399 proteins , Mli with 26,443 proteins , Pgt with 20,534 proteins , and Pst with 18,023 proteins [10, 12]. Gene annotation was performed using BLAST2GO . Gene names and gene ontology (GO) terms were assigned to the Cri genes based on their homologies to the available databases (NCBI-nr, PIR, KEGG, and GO).
Prediction of secreted proteins
Complete ORFs were scanned for signal peptides using signalP v4.1 at a D-cut-off value of 0.36 . The resulting peptides then were scanned for transmembrane helices and mitochondria-targeted sequence using the TMHMM program v2.0  and TargetP v1.1 , respectively. To find candidate effectors from partial ORFs, the Cri proteome was used as a query for BLASTp against the Cri secreted proteins predicted from complete ORFs, a dataset of candidate effectors of Mpl, Mli, Pst and Pgt , and the pathogen-host interaction database (PHI-base v3.2) containing experimentally verified pathogenicity, virulence and effectors from fungal, oomycete, and bacterial pathogens . Putative CAZymes were identified by BLAST against CAZyDB (3/22/2013) using the dbCAN v3.0 HMM-based CAZy annotation server . A Pfam search was performed using on-line service from The European Bioinformatics Institute (EMBL-EBI) at gathering threshold with a cut-off of e-3 and dom of e-3. Assignment of gene families was performed by BLASTp against OrthoMCL proteins at a cut-off of e-5, and 50 % match using OrthoMCL-5 . Similarly, proteins involved in membrane transport were investigated by a BLASTp search against predicted polypeptides in the Transporter Classification Database .
Global gene expression analysis
Transcriptome profiles were compared at four stages of the Cri life cycle: aeciospores, urediniospores, infected needles (4 dpi) of six-months-old P. monticola seedlings, and cankered stems (~14 months post basidiospore infection) of 20-month-old P. monticola seedlings. RNA-seq reads from infected pine stems were used to identify in planta differentially expressed genes (DEGs) by comparison with RNA-seq reads from aeciospores and urediniospores. Trimmed reads from each sample were mapped to the Cri reference transcriptome and only sequence pairs (fragments) were counted in read mapping with a minimum length fraction of 0.9 and a minimum similarity fraction of 0.9 and expression values were calculated as FPKM (Fragments Per Kilobase of exon per Million fragments mapped) using CLC Genomics Workbench 5.5 (CLC bio, QIAgen, Aarhus, Denmark). Gene expression values (FPKM) were normalized with parameters: normalization method = scaling, scaling method = mean, trimming = 5 %, normalized data = original expression values. Statistical analysis was performed with parameters: statistical test = t-test, variances = homogeneous, comparisons = all pairs, use pairing = no, data to analyze = normalized expression values, add FDR correction p-values = yes. Transcripts with normalized fold change > ±2 at p <0.05 after adjustment with false discovery rate (FDR) were extracted as up- or down-regulated DEGs.
RNA-seq data of Cri-infected P. monticola primary needles at 4 dpi was generated in a previous study  and here used to investigate rust fungal gene expression in compatible (cr2/cr2 vs. avcr2) and incompatible (Cr2/- vs. avcr2) interactions. Statistical analysis was same as above except that a Z-test was used as described previously . Hierarchical clustering and heatmap production for the expression profiles were performed using the gplots heatmap.2 package in R 3.1.2  with the data stripped of records where the normalized expression values were all zero (0). Cluster agglomeration was performed using Manhattan distance and intracluster distance set to complete.
Quantitative reverse-transcriptase PCR (qRT-PCR) analysis
To confirm gene expression levels measured by FPKM fold change in RNA-seq analysis, 21 DEGs from RNA-seq analysis were selected due to their putative roles in virulence or pathogenicity for qRT-PCR analysis. Primers were designed using Primer3 software, and α-tubulin was used as an internal control. Three biological replicates and two technical replicates were run on an Applied Biosystems 7500 Fast Real-time PCR System (Life Technologies). Healthy P. monticola tissues, no reverse-transcriptase and water samples were run as controls for each primer pair.
Expression Suite Software v1.0.3 (Life Technologies) was used to analyze relative expression levels of each gene with aeciospore samples as the reference. Relative quantification (RQ) was calculated as 2-ΔΔCt. Student t tests were used to analyze the significance of transcript differences between two samples. Correlation and regression analyses were performed to compare fold changes of transcripts measured by qRT-PCR and RNA-seq analyses with ANOVA tests for statistical significance.
Availability of supporting data
All sequencing data generated in this study is available from the SRA-Archive (http://www.ncbi.nlm.nih.gov/sra) under the study accession SRP031625. Illumina raw sequences were deposited in the NCBI GenBank under accession number SRR1583557-1583540, SRR1583545, and SRR1583552. A Cronartium ribicola reference transcriptome was deposited at DDBJ/EMBL/GenBank under accession GBSG01000000.
All other supporting data are included as additional files.
We are grateful to Aimin Guan, Gary Zhang, and Hao Chen for computer programming and bioinformatic analyses; Gary Roke, Rich Hunt, Angelia Kegley and colleagues at DGRC for sample collection; Terry Holmes and Gary Roke for microscopy work. This research was supported partly by PFC-CFS DG’s fund, CFS-A base fund, and the CFS-GRDI fund awarded to J.-J.L.
Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
- Sniezko RA, Smith J, Liu J-J, Hamelin HC. Genetic resistance to Fusiform rust in southern pines and white pine blister rust in white pines - A contrasting tale of two rust pathosystems - Current status and future prospects. Forests. 2014;5:2050–83.View ArticleGoogle Scholar
- Schoettle AW, Sniezko RA, Kegley A, Burns KS. White pine blister rust resistance in limber pine: Evidence for a major gene. Phytopathology. 2014;104:163–73.View ArticlePubMedGoogle Scholar
- Kinloch BB, Dupper GE. Genetic specificity in the white pine-blister rust pathosystem. Phytopathology. 2002;92:278–80.View ArticlePubMedGoogle Scholar
- Kinloch Jr BB, Sniezko RA, Dupper GE. Virulence gene distribution and dynamics of the white pine blister rust pathogen in western North America. Phytopathology. 2004;94:751–8.View ArticlePubMedGoogle Scholar
- Maloy OC. White pine blister rust. The Plant Health Instructor. 2013, DOI:10.1094/PHI-I-2003-0908-01. Updated 2008.Google Scholar
- Harvey AE, Grasham JL. Inoculation of western white pine tissue cultures with basidiospores of Cronartium ribicola. Can J Bot. 1970;48:1309–11.View ArticleGoogle Scholar
- Catanzariti AM, Dodds PN, Lawrence GJ, Ayliffe MA, Ellis JG. Haustorially expressed secreted proteins from flax rust are highly enriched for avirulence elicitors. Plant Cell. 2006;18:243–56.View ArticlePubMedPubMed CentralGoogle Scholar
- Win J, Chaparro-Garcia A, Belhaj K, Saunders DG, Yoshida K, Dong S, et al. Effector biology of plant-associated organisms: concepts and perspectives. Cold Spring Harb Symp Quant Biol. 2012;77:235–47.View ArticlePubMedGoogle Scholar
- Dodds PN, Lawrence GJ, Catanzariti A-M, Ayliffe MA, Ellis JG. The Melampsora lini AvrL567 avirulence genes are expressed in haustoria and their products are recognized inside plant cells. Plant Cell. 2004;16:755–68.View ArticlePubMedPubMed CentralGoogle Scholar
- Cantu D, Govindarajulu M, Kozik A, Wang M, Chen X, Kojima KK, et al. Next generation sequencing provides rapid access to the genome of Puccinia striiformis f. sp. tritici, the causal agent of wheat stripe rust. PLoS ONE. 2011;6:e24230.View ArticlePubMedPubMed CentralGoogle Scholar
- Duplessis S, Cuomo CA, Lin Y-C, Aerts A, Tisserant E, Veneault-Fourrey C, et al. Obligate biotrophy features unraveled by the genomic analysis of rust fungi. Proc Natl Acad Sci U S A. 2011;108:9166–71.View ArticlePubMedPubMed CentralGoogle Scholar
- Zheng W, Huang L, Huang J, Wang X, Chen X, Zhao J, et al. High genome heterozygosity and endemic genetic recombination in the wheat stripe rust fungus. Nat Commun. 2013;4:2673.PubMedPubMed CentralGoogle Scholar
- Nemri A, Saunders DGO, Anderson C, Upadhyaya NM, Win J, Lawrence GJ, et al. The genome sequence and effector complement of the flax rust pathogen Melampsora lini. Front Plant Sci. 2014;5:98.View ArticlePubMedPubMed CentralGoogle Scholar
- Soanes DM, Chakrabarti A, Paszkiewicz KH, Dawe AL, Talbot NJ. Genome-wide transcriptional profiling of appressorium development by the rice blast fungus Magnaporthe oryzae. PLoS Pathog. 2012;8:e1002514.View ArticlePubMedPubMed CentralGoogle Scholar
- Thakur K, Chawla V, Bhatti S, Swarnkar MK, Kaur J, Shankar R, et al. De novo transcriptome sequencing and analysis for Venturia inaequalis, the devastating apple scab pathogen. PLoS ONE. 2013;8:e53937.View ArticlePubMedPubMed CentralGoogle Scholar
- Chen Y, Toffaletti DL, Tenor JL, Litvintseva AP, Fang C, Mitchell TG, et al. The Cryptococcus neoformans transcriptome at the site of human meningitis. MBio. 2014;5:e01087–13.PubMedPubMed CentralGoogle Scholar
- Bailey BA, Melnick RL, Strem MD, Crozier J, Shao J, Sicher R, et al. Differential gene expression by Moniliophthora roreri while overcoming cacao tolerance in the field. Mol Plant Pathol. 2014;15:711–29.View ArticlePubMedGoogle Scholar
- Kunjeti SG, Evans TA, Marsh AG, Gregory NF, Kunjeti S, Meyers BC, et al. RNA-Seq reveals infection-related global gene changes in Phytophthora phaseoli, the causal agent of lima bean downy mildew. Mol Plant Pathol. 2012;13:454–66.View ArticlePubMedGoogle Scholar
- Bruce M, Neugebauer KA, Joly DL, Migeon P, Cuomo CA, Wang S, et al. Using transcription of six Puccinia triticina races to identify the effective secretome during infection of wheat. Front Plant Sci. 2014;4:520.View ArticlePubMedPubMed CentralGoogle Scholar
- Meinhardt LW, Costa GG, Thomazella DP, Teixeira PJ, Carazzolle MF, Schuster SC, et al. Genome and secretome analysis of the hemibiotrophic fungal pathogen, Moniliophthora roreri, which causes frosty pod rot disease of cacao: mechanisms of the biotrophic and necrotrophic phases. BMC Genomics. 2014;15:164.View ArticlePubMedPubMed CentralGoogle Scholar
- Zhao C, Waalwijk C, de Wit PJ, Tang D, van der Lee T. RNA-Seq analysis reveals new gene models and alternative splicing in the fungal pathogen Fusarium graminearum. BMC Genomics. 2013;16:14–21.Google Scholar
- Cerqueira GC, Arnaud MB, Inglis DO, Skrzypek MS, Binkley G, Simison M, et al. The Aspergillus genome database: multispecies curation and incorporation of RNA-Seq data to improve structural gene annotations. Nucleic Acids Res. 2014;42(Database issue):D705–710.View ArticlePubMedPubMed CentralGoogle Scholar
- Liu J-J, Sniezko RA, Sturrock RN, Chen H. Western white pine SNP discovery and high-throughput genotyping for breeding and conservation applications. BMC Plant Biology. 2014;14:1586.Google Scholar
- Parra G, Bradnam K, Korf I. CEGMA: a pipeline to accurately annotate core genes in eukaryotic genomes. Bioinformatics. 2007;23:1061–7.View ArticlePubMedGoogle Scholar
- Yin Y, Mao X, Yang JC, Chen X, Mao F, Xu Y. dbCAN: a web resource for automated carbohydrate-active enzyme annotation. Nucleic Acids Res. 2012;40(Web Server issue):W445–451.View ArticlePubMedPubMed CentralGoogle Scholar
- Garnica DP, Upadhyaya NM, Dodds PN, Rathjen JP. Strategies for wheat stripe rust pathogenicity identified by transcriptome sequencing. PLoS ONE. 2013;8:e67150.View ArticlePubMedPubMed CentralGoogle Scholar
- Saier MH, Reddy VS, Tamang DG, Vastermark A. The transporter classification database. Nucleic Acids Res. 2014;42:D251–258.View ArticlePubMedPubMed CentralGoogle Scholar
- Winnenburg R, Urban M, Beacham A, Baldwin TK, Holland S, Lindeberg M, et al. PHI-base update: additions to the pathogen host interaction database. Nucleic Acids Res. 2008;36:D572–576.View ArticlePubMedPubMed CentralGoogle Scholar
- Talhinhas P, Azinheira HG, Vieira B, Loureiro A, Tavares S, Batista D, et al. Overview of the functional virulent genome of the coffee leaf rust pathogen Hemileia vastatrix with an emphasis on early stages of infection. Front Plant Sci. 2014;5:88.View ArticlePubMedPubMed CentralGoogle Scholar
- Fernandez D, Tisserant E, Talhinhas P, Azinheira H, Vieira A, Petitot AS, et al. 454-pyrosequencing of Coffea arabica leaves infected by the rust fungus Hemileia vastatrix reveals in planta-expressed pathogen-secreted proteins and plant functions in a late compatible plant-rust interaction. Mol Plant Pathol. 2012;13:17–37.View ArticlePubMedGoogle Scholar
- Kawahara Y, Oono Y, Kanamori H, Matsumoto T, Itoh T, Minami E. Simultaneous RNA-seq analysis of a mixed transcriptome of rice and blast fungus interaction. PLoS ONE. 2012;7:e49423.View ArticlePubMedPubMed CentralGoogle Scholar
- Yazawa T, Kawahigashi H, Matsumoto T, Mizuno H. Simultaneous transcriptome analysis of sorghum and Bipolaris sorghicola by using RNA-seq in combination with de novo transcriptome assembly. PLoS ONE. 2013;8:e62460.View ArticlePubMedPubMed CentralGoogle Scholar
- Stergiopoulos I, de Wit PJ. Fungal effector proteins. Annu Rev Phytopathol. 2009;47:233–63.View ArticlePubMedGoogle Scholar
- Petre B, Joly DL, Duplessis S. Effector proteins of rust fungi. Front Plant Sci. 2014;5:416.PubMedPubMed CentralGoogle Scholar
- Yu X, Ekramoddoullah AK, Taylor DW, Piggott N. Cloning and characterization of a cDNA of cro rI from the white pine blister rust fungus Cronartium ribicola. Fungal Genet Biol. 2002;35:53–66.View ArticlePubMedGoogle Scholar
- Ravensdale M, Nemri A, Thrall PH, Ellis JG, Dodds PN. Co-evolutionary interactions between host resistance and pathogen effector genes in flax rust disease. Mol Plant Pathol. 2011;12:93–102.View ArticlePubMedPubMed CentralGoogle Scholar
- Upadhyaya NM, Mago R, Staskawicz BJ, Ayliffe MA, Ellis JG, Dodds PN. A bacterial type III secretion assay for delivery of fungal effector proteins into wheat. Mol Plant Microbe Interact. 2014;27:255–64.View ArticlePubMedGoogle Scholar
- Kemen E, Kemen A, Ehlers A, Voegele R, Mendgen K. A novel structural effector from rust fungi is capable of fibril formation. Plant J. 2013;75:767–80.View ArticlePubMedGoogle Scholar
- Pretsch K, Kemen A, Kemen E, Geiger M, Mendgen K, Voegele R. The rust transferred proteins-a new family of effector proteins exhibiting protease inhibitor function. Mol Plant Pathol. 2013;14:96–107.View ArticlePubMedGoogle Scholar
- Pendleton AL, Smith KE, Feau N, Martin FM, Grigoriev IV, Hamelin R, Nelson CD, Burleigh JG, Davis JM. Duplications and losses in gene families of rust pathogens highlight putative effectors. Front Plant Sci 2014;5:299.View ArticlePubMedPubMed CentralGoogle Scholar
- Girard V, Dieryckx C, Job C, Job D. Secretomes: the fungal strike force. Proteomics. 2013;13:597–608.View ArticlePubMedGoogle Scholar
- Alfaro M, Oguiza JA, Ramírez L, Pisabarro AG. Comparative analysis of secretomes in basidiomycete fungi. J Proteome. 2014;102C:28–43.View ArticleGoogle Scholar
- Garnica DP, Nemri A, Upadhyaya NM, Rathjen JP, Dodds PN. The ins and outs of rust haustoria. PLoS Pathog. 2014;10:e1004329.View ArticlePubMedPubMed CentralGoogle Scholar
- Lowe RG, Howlett BJ. Indifferent, affectionate, or deceitful: lifestyles and secretomes of fungi. PLoS Pathog. 2012;8:e1002515.View ArticlePubMedPubMed CentralGoogle Scholar
- Cantu D, Segovia V, MacLean D, Bayles R, Chen X, Kamoun S, et al. Genome analyses of the wheat yellow (stripe) rust pathogen Puccinia striiformis f. sp. tritici reveal polymorphic and haustorial expressed secreted proteins as candidate effectors. BMC Genomics. 2013;14:270.View ArticlePubMedPubMed CentralGoogle Scholar
- Duplessis S, Bakkeren G, Hamelin R. Advancing knowledge on biology of rust fungi through genomics. Adv Bot Res. 2014;70:173–209.View ArticleGoogle Scholar
- O’Connell RJ, Thon MR, Hacquard S, Amyotte SG, Kleemann J, Torres MF, et al. Life style transitions in plant pathogenic Colletotrichum fungi deciphered by genome and transcriptome analyses. Nat Genet. 2012;44:1060–5.View ArticlePubMedGoogle Scholar
- Schmidtke C, Findeiss S, Sharma CM, Kuhfuss J, Hoffmann S, Vogel J, et al. Genome-wide transcriptome analysis of the plant pathogen Xanthomonas identifies sRNAs with putative virulence functions. Nucleic Acids Res. 2012;40:2020–31.View ArticlePubMedPubMed CentralGoogle Scholar
- Wiemann P, Sieber CM, von Bargen KW, Studt L, Niehaus EM, Espino JJ, et al. Deciphering the cryptic genome: genome-wide analyses of the rice pathogen Fusarium fujikuroi reveal complex regulation of secondary metabolism and novel metabolites. PLoS Pathog. 2013;9:e1003475.View ArticlePubMedPubMed CentralGoogle Scholar
- Blanco-Ulate B, Morales-Cruz A, Amrine KCH, Labavitch JM, Powell ALT, Cantu D. Genome-wide transcriptional profiling of Botrytis cinerea genes targeting plant cell walls during infections of different hosts. Front Plant Sci. 2014;5:435.View ArticlePubMedPubMed CentralGoogle Scholar
- Kasuga T, Kozanitas M, Bui M, Hüberli D, Rizzo DM, Garbelotto M. Phenotypic diversification is associated with host-induced transposon derepression in the sudden oak death pathogen Phytophthora ramorum. PLoS ONE. 2012;7:e34728.View ArticlePubMedPubMed CentralGoogle Scholar
- Seidl MF, Thomma BPHJ. Sex or no sex: evolutionary adaptation occurs regardless. Bioessays. 2014;36:335–45.View ArticlePubMedPubMed CentralGoogle Scholar
- Chuma I, Isobe C, Hotta Y, Ibaragi K, Futamata N, Kusuba M, et al. Multiple translocation of the AVR-Pita effector gene among chromosomes of the rice blast fungus Magnaporthe oryzae and related species. PLoS Pathog. 2011;7:e1002147.View ArticlePubMedPubMed CentralGoogle Scholar
- Cristancho MA, Botero-Rozo DO, Giraldo W, Tabima J, Riaño-Pachón DM, Escobar C, et al. Annotation of a hybrid partial genome of the coffee rust (Hemileia vastatrix) contributes to the gene repertoire catalog of the Pucciniales. Front Plant Sci. 2014;5:594.View ArticlePubMedPubMed CentralGoogle Scholar
- Hu G, Kamp A, Linning R, Naik S, Bakkeren G. Complementation of Ustilago maydis MAPK mutants by a wheat leaf rust, Puccinia triticina homolog: potential for functional analyses of rust genes. Mol Plant Microbe Interact. 2007;20:637–47.View ArticlePubMedGoogle Scholar
- Liu J-J, Sturrock RN, Benton R. Transcriptome analysis of Pinus monticola primary needles by RNA-seq provides novel insight into host resistance to Cronartium ribicola. BMC Genomics. 2013;14:884.View ArticlePubMedPubMed CentralGoogle Scholar
- Frederiksen RF, Paspaliari DK, Larsen T, Storgaard BG, Larsen MH, Ingmer H, et al. Bacterial chitinases and chitin-binding proteins as virulence factors. Microbiology. 2013;159:833–47.View ArticlePubMedGoogle Scholar
- Murphy C, Powlowski J, Wu M, Butler G, Tsang A. Curation of characterized glycoside hydrolases of fungal origin. Database. 2011. ISSN 1758–0463.Google Scholar
- Boneca IG, Dussurget O, Cabanes D, Nahori MA, Sousa S, Lecuit M, et al. A critical role for peptidoglycan N-deacetylation in Listeria evasion from the host innate immune system. Proc Natl Acad Sci U S A. 2007;104:997–1002.View ArticlePubMedPubMed CentralGoogle Scholar
- Donofrio NM, Oh Y, Lundy R, Pan H, Brown DE, Jeong JS, et al. Global gene expression during nitrogen starvation in the rice blast fungus, Magnaporthe grisea. Fungal Genet Biol. 2006;43:605–17.View ArticlePubMedGoogle Scholar
- Ding X, Cao Y, Huang L, Zhao J, Xu C, Li X, et al. Activation of the indole-3-acetic acid-amido synthetase GH3-8 suppresses expansin expression and promotes salicylate- and jasmonate-independent basal immunity in rice. Plant Cell. 2008;20:228–40.View ArticlePubMedPubMed CentralGoogle Scholar
- Brotman Y, Briff E, Viterbo A, Chet I. Role of swollenin, an expansin-like protein from Trichoderma, in plant root colonization. Plant Physiol. 2008;147:779–89.View ArticlePubMedPubMed CentralGoogle Scholar
- Giraldo MC, Valent B. Filamentous plant pathogen effectors in action. Nat Rev Microbiol. 2013;11:800–14.View ArticlePubMedGoogle Scholar
- Nelson DR, Koymans L, Kamataki T, Stegeman JJ, Feyereisen R, Waxman DJ, et al. P450 Superfamily: update on new sequences, gene mapping, accession numbers and nomenclature. Pharmucogenetics. 1996;13:1–42.View ArticleGoogle Scholar
- Leuthner B, Aichinger C, Oehmen E, Koopmann E, Müller O, Müller P, et al. A H2O2-producing glyoxal oxidase is required for filamentous growth and pathogenicity in Ustilago maydis. Mol Genet Genomics. 2005;272:639–50.View ArticlePubMedGoogle Scholar
- Bolger AM, Lohse M, Usadel B. Trimmomatic: A flexible trimmer for Illumina Sequence Data. Bioinformatics. 2014;30(15):2114–20. doi:10.1093/bioinformatics/btu170.View ArticlePubMedPubMed CentralGoogle Scholar
- Haas BJ, Papanicolaou A, Yassour M, Grabherr M, Blood PD, Bowden J, et al. De novo transcript sequence reconstruction from RNA-seq using the Trinity platform for reference generation and analysis. Nat Protoc. 2013;8:1494–512.View ArticlePubMedGoogle Scholar
- 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;21:3674–6.View ArticlePubMedGoogle Scholar
- Petersen TN, Brunak S, von Heijne G, Nielsen H. SignalP 4.0: discriminating signal peptides from transmembrane regions. Nat Methods. 2011;8:785–6.View ArticlePubMedGoogle Scholar
- Krogh A, Larsson B, von Heijne G, Sonnhammer ELL. Predicting transmembrane protein topology with a hidden Markov model: Application to complete genomes. J Mol Biol. 2001;305:567–80.View ArticlePubMedGoogle Scholar
- Emanuelsson O, Nielsen H, Brunak S, von Heijne G. Predicting subcellular localization of proteins based on their N-terminal amino acid sequence. J Mol Biol. 2000;300:1005–16.View ArticlePubMedGoogle Scholar
- Li L, Stoeckert Jr CJ, Roos DS. OrthoMCL: identification of ortholog groups for eukaryotic genomes. Genome Res. 2003;13:2178–89.View ArticlePubMedPubMed CentralGoogle Scholar
- Warnes GR, Bolker B, Bonebakker L, Gentleman R, Liaw WHA, Lumley T, Maechler M, Magnusson A, Moeller S, Schwartz M, Venables B. gplots: Various R programming tools for plotting data. R package (version 2.16.0). 2015. http://CRAN.R-project.org/package=gplots.