Literature DB >> 27658302

Differential Communications between Fungi and Host Plants Revealed by Secretome Analysis of Phylogenetically Related Endophytic and Pathogenic Fungi.

Xihui Xu1,2, Qin He1, Chen Chen1, Chulong Zhang3.   

Abstract

During infection, both phytopathogenic and endophytic fungi form intimate contact with living plant cells, and need to resist or disable host defences and modify host metabolism to adapt to their host. Fungi can achieve these changes by secreting proteins and enzymes. A comprehensive comparison of the secretomes of both endophytic and pathogenic fungi can improve our understanding of the interactions between plants and fungi. Although Magnaporthe oryzae, Gaeumannomyces graminis, and M. poae are economically important fungal pathogens, and the related species Harpophora oryzae is an endophyte, they evolved from a common pathogenic ancestor. We used a pipeline analysis to predict the H. oryzae, M. oryzae, G. graminis, and M. poae secretomes and identified 1142, 1370, 1001, and 974 proteins, respectively. Orthologue gene analyses demonstrated that the M. oryzae secretome evolved more rapidly than those of the other three related species, resulting in many species-specific secreted protein-encoding genes, such as avirulence genes. Functional analyses highlighted the abundance of proteins involved in the breakdown of host plant cell walls and oxidation-reduction processes. We identified three novel motifs in the H. and M. oryzae secretomes, which may play key roles in the interaction between rice and H. oryzae. Furthermore, we found that expression of the H. oryzae secretome involved in plant cell wall degradation was downregulated, but the M. oryzae secretome was upregulated with many more upregulated genes involved in oxidation-reduction processes. The divergent in planta expression patterns of the H. and M. oryzae secretomes reveal differences that are associated with mutualistic and pathogenic interactions, respectively.

Entities:  

Year:  2016        PMID: 27658302      PMCID: PMC5033329          DOI: 10.1371/journal.pone.0163368

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Fungi play essential roles in diverse environments, including the establishment of various relationships with host plants with interactions that range from mutualistic to pathogenic [1, 2]. During infection, fungi can secrete proteins called effectors to manipulate the immunity and physiology of their hosts to prevent host detection, suppress plant defences, and/or induce plant cell death [3-5]. LysM effectors, a class of conserved effectors that have no recognisable protein domains except for the LysM motif, can interfere with chitin-induced plant immunity and promote infection [6]. The Slp1 protein from Magnaporthe oryzae is an example of a LysM effector [7]. In addition, carbohydrate-degrading enzymes may also be secreted by fungi to feed on complex molecules [1]. Similar to phytopathogens, which need to resist or disable host defences and modify host metabolism to adapt to their host [8, 9], endophytic fungi form intimate intercellular contacts with living plant cells, which are usually mutualistic associations [10, 11]. Thus, endophytes also need to manipulate host defences and metabolism. Communication between fungi and host plants is achieved by secretion of proteins and enzymes that are either delivered into the plant cells or detected at the plant cell surface [1, 12]. This communication occurs, in particular, at the initial stage of infection [13]. Recent studies have shown that endophytism is evolutionarily transient, with endophytic lineages frequently transitioning to and from pathogenicity in phylogenetic trees [14]. For example, clavicipitaceous endophytes arose from insect-parasitic ancestors [15], whereas the beneficial endophyte Harpophora oryzae originated from a phytopathogenic ancestor [16]. Thus, a comprehensive comparison of the secretomes of closely related endophytic and pathogenic fungi sharing a common ancestor will further our understanding of the interactions between fungi and host plants. Rice blast, caused by the fungal pathogen M. oryzae, is one of the most severe rice diseases and it occurs almost everywhere rice is grown [17, 18]. In contrast, the beneficial dark septate endophytes (DSEs) such as H. oryzae, which resides in domestic Chinese wild rice (Oryza granulata), can not only strongly promote rice growth and biomass accumulation [19], but also protect rice roots from invasion by M. oryzae and induce systemic resistance to rice blast, thus making it an attractive candidate for biocontrol [20]. Phylogenetic analysis revealed that H. oryzae is closely related to other members of the Magnaporthaceae, such as the plant pathogens M. oryzae, Gaeumannomyces graminis, and M. poae [19]. A detailed comparative study of H. and M. oryzae at the morphologic, physiological, and genomic levels has revealed that these two species originated from a common pathogenic ancestor and gain or loss of orphan genes, gene family expansions, and transposable element activities were important factors in this evolution [16]. Furthermore, divergent defence responses and carbon allocation patterns have been detected in the interaction of H. and M. oryzae with rice [21], demonstrating that host plants were also involved in this evolution. However, limited information is available about secretomes, which may also play important roles considering the vital function of secreted proteins in the communication between fungi and plants. In this study, we present a comprehensive comparison of the secretomes of the endophyte H. oryzae and its closely related pathogenic fungi to provide new insights into endophyte- and pathogen-plant interactions.

Results

Predicted H. oryzae, M. oryzae, G. graminis, and M. poae secretomes

In total, we detected 1667, 1733, 1455, and 1279 genes encoding secreted proteins in the H. oryzae, M. oryzae, G. graminis, and M. poae genomes, respectively, representing 11.4, 13.5, 10.1, and 10.4% of the respective genomes (Fig 1). Within these gene sets, proteins predicted to contain transmembrane (TM) domain or glycosylphosphatidylinositol (GPI)-anchored proteins were removed. This resulted in predicted secretomes of 1142, 1370, 1001, and 974 proteins for H. oryzae, M. oryzae, G. graminis, and M. poae, respectively (7.8, 10.6, 6.9, and 8.0% of total genomes, respectively) (Fig 1; S1 Table).
Fig 1

The analysis pipeline applied to the H. oryzae, M. oryzae, G. graminis, and M. poae secretomes.

The pipeline can be divided in three main steps: 1) secretome prediction, 2) functional analysis, and 3) expression analysis.

The analysis pipeline applied to the H. oryzae, M. oryzae, G. graminis, and M. poae secretomes.

The pipeline can be divided in three main steps: 1) secretome prediction, 2) functional analysis, and 3) expression analysis. Markov Cluster algorithm (MCL) analysis identified a total of 987 orthologue groups clustered among the predicted H. oryzae, M. oryzae, G. graminis, and M. poae secretomes, with only 273 orthologue groups shared by all four species (Fig 2). On average, each group contained approximately 3.1 genes. A total of 851 (75%), 772 (56%), 774 (77%), and 712 (73%) secreted proteins of H. oryzae, M. oryzae, G. graminis, and M. poae, respectively, clustered into MCL groups (S2 Table). Of these, 232 M. oryzae secreted proteins (distributed in 89 groups) were present in one or more paralogues, considerably more than in H. oryzae (129 in 59 groups), G. graminis (68 in 27 groups), and M. poae (81 in 34 groups). Moreover, we identified 44, 14, 1, and 7 species-specific groups for the four respective secretomes (Fig 2; S2 Table).
Fig 2

Venn diagram showing orthologues among the H. oryzae, M. oryzae, G. graminis, and M. poae secretomes.

The values indicate the counts of the orthologue groups.

Venn diagram showing orthologues among the H. oryzae, M. oryzae, G. graminis, and M. poae secretomes.

The values indicate the counts of the orthologue groups.

Functional annotation of secretomes

Blast2GO analysis revealed that 400, 556, 338, and 328 secreted proteins had no functional annotation, whereas 742, 814, 663, and 646 secreted proteins, in the H. oryzae, M. oryzae, G. graminis, and M. poae secretomes, respectively, had some form of annotation such as InterPro, SUPERFAMILY, or PFAM entries (Fig 1; S1 Table). Among the four unannotated secretomes, 197 (49%), 388 (70%), 154 (46%), and 165 (50%) were singletons, which were not included in any orthologue groups. The general enzymatic activities (EC classification) and Gene Ontology (GO) biological process annotations of the annotated secretomes of the four species were involved in some form of catalytic activity, represented primarily by hydrolyases and oxidoreductases (Fig 3; S3 Table). The major targets of the hydrolyases were lipids, carbohydrates, and proteins (Fig 3). To identify the metabolic pathways involved, enzymes from the four secretomes were mapped onto the Kyoto Encyclopedia of Genes and Genomes (KEGG) metabolic pathways (Table 1), showing the high representation of enzymes related to phenylpropanoid biosynthesis, amino/nucleotide sugar metabolism, starch/sucrose metabolism, and aminobenzoate degradation.
Fig 3

Profiles of H. oryzae, M. oryzae, G. graminis, and M. poae annotated secretomes.

(a) Major enzyme classes in the four secretomes. (b) Major targets of the hydrolyases. (c) The 10 most abundant GO categories (biological processes, level 6) of the four secretomes.

Table 1

Secreted proteins involved in KEGG metabolic pathways.

KEGG pathwayaH. oryzaeM. oryzaeG. graminisM. poae
ProbEnzcProEnzProEnzProEnz
Phenylpropanoid biosynthesis15110191102
Amino sugar and nucleotide sugar metabolism134164125123
Drug metabolism—other enzymes1121617181
Other glycan degradation1051247495
Starch and sucrose metabolism967383106
Aminobenzoate degradation621025252
Glycosphingolipid biosynthesis-globo series63425333
Pentose and glucuronate interconversions54534243
Sphingolipid metabolism42435322
Biosynthesis of antibiotics32643244
Glycerophospholipid metabolism33322231
Glycosaminoglycan degradation32211111
Glyoxylate and dicarboxylate metabolism32214222
Tryptophan metabolism32214222
Various types of N-glycan biosynthesis32623232
Alanine, aspartate and glutamate metabolism22001111
beta-Alanine metabolism21212131
Cyanoamino acid metabolism22211111
Galactose metabolism21213111
Glutathione metabolism22211100
Glycerolipid metabolism21424222
Glycine, serine and threonine metabolism21422100
Glycosphingolipid biosynthesis—ganglio series21211111
Glycosphingolipid biosynthesis-lacto and neolacto series21001111
Isoquinoline alkaloid biosynthesis21212131
N-Glycan biosynthesis22634232
Phenylalanine metabolism21212131
Purine metabolism23341246
Tropane, piperidine and pyridine alkaloid biosynthesis21212131
Tyrosine metabolism21212131

a Only the 30 most abundant pathways are listed.

b Number of proteins

c Number of enzymes.

Profiles of H. oryzae, M. oryzae, G. graminis, and M. poae annotated secretomes.

(a) Major enzyme classes in the four secretomes. (b) Major targets of the hydrolyases. (c) The 10 most abundant GO categories (biological processes, level 6) of the four secretomes. a Only the 30 most abundant pathways are listed. b Number of proteins c Number of enzymes.

Comparative PFAM analysis of secretomes

Of the H. oryzae, M. oryzae, G. graminis, and M. poae annotated protein sequences, 576, 601, 535, and 497, respectively, contained at least one PFAM domain (S4 Table) and 41 (120 domains), 46 (133 domains), 40 (118 domains), and 40 (117 domains) hydrolase families were identified among 107, 114, 100, and 101 proteins (S5 Table), representing 14, 14, 15, and 16%, respectively, of the four annotated secretomes. GH61 (PF03443, now AA9 family), was one of the most abundant PFAM domains found in 24, 17, 16, and 15 proteins of the H. oryzae, M. oryzae, G. graminis, and M. poae secretomes, respectively (Table 2). In addition, Peptidase_S8 (PF00082) was also abundant in the four secretomes (Table 2). For carbohydrate-binding modules, WSC (PF01822) and LysM (PF01476) domains were more abundant in the H. oryzae, G. graminis, and M. poae secretomes, whereas the CBM_1 (PF00734) domain was more abundant in the M. oryzae secretome. Another abundant PFAM domain was a type B carboxylesterase (COesterase, PF00135) implicated in lipid degradation (Table 2). These results suggested the most abundant PFAM domains were hydrolytic enzymes involved in the breakdown of host plant cell walls.
Table 2

The 25 most abundant PFAM domains in the four secretomes.

PFAMPFAM definitionH. oryzaeM. oryzaeG. graminisM. poae
PF03443.11Glyco_hydro_6124171615
PF00082.19Peptidase_S818191813
PF01565.20FAD_binding_418201510
PF00264.17Tyrosinase13141513
PF08031.9BBE1313107
PF00734.15CBM_11219158
PF09362.7DUF19961261312
PF13472.3Lipase_GDSL_21210136
PF00732.16GMC_oxred_N11121311
PF00026.20Asp108913
PF00150.15Cellulase10684
PF04616.11Glyco_hydro_43101298
PF05199.10GMC_oxred_C10101310
PF00135.25COesterase914116
PF04389.14Peptidase_M28911710
PF01083.19Cutinase81145
PF01476.17LysM84812
PF07731.11Cu-oxidase_281067
PF07732.12Cu-oxidase_381068
PF11327.5DUF31298677
PF00394.19Cu-oxidase7957
PF00704.25Glyco_hydro_1871098
PF01328.14Peroxidase_27356
PF01822.16WSC7576
PF06280.9fn3_57765
Beyond the domains potentially involved in plant cell degradation, we also identified numerous proteins involved in oxidation-reduction processes in the four secretomes, including proteins containing FAD_binding_4 (PF01565), GMC_oxred_C (PF05199.10), and GMC_oxred_N (PF00732) domains (Table 2; S5 Table).

Identification of motifs in unannotated secretomes

Conserved motifs were detected in the unannotated H. and M. oryzae secretomes. Three constrained motifs were identified, ranging in abundance from 12 to 81 sites (Fig 4). Compared to M. oryzae, the unannotated H. oryzae secretome contained far more sites of motif 1 (48 sites) and motif 2 (53 sites), with 27 proteins containing both motifs.
Fig 4

De novo motif searches of the unannotated H. and M. oryzae secretomes.

(a) Sequences of the three motifs. (b) Distribution of the three motifs in the amino acid sequence of each protein. Each circle represents one motif.

De novo motif searches of the unannotated H. and M. oryzae secretomes.

(a) Sequences of the three motifs. (b) Distribution of the three motifs in the amino acid sequence of each protein. Each circle represents one motif. Motif 1 contained L, A, and R residues which were conserved and organised in an LXAR pattern. This motif was identified in 23 orthologue groups. Motif 2 contained R and D residues in an RD pattern; 28 orthologue groups contained proteins with motif 2, and 10 groups shared motif 1. Finally, motif 3 was the least abundant motif, identified in only 12 proteins distributed in 4 groups, but none of the groups overlapped with those of motifs 1 or 2. Motif 4 contained a conserved V/TCC pattern that was preceded by a conserved C residue, located at an average position of 36 amino acids (Fig 4).

Divergent in planta expression patterns of H. and M. oryzae secretomes

Of 1142 predicted members of the H. oryzae secretome, 918 genes encoding secreted proteins (80%) were expressed at 2 or 6 days after infection (HDAI2 or HDAI6) in rice roots, including 631 annotated and 287 unannotated genes (S6 Table). In total, 967 genes (71%) out of 1370 M. oryzae secretome genes were expressed at 2 or 6 days after infection (MDAI2 or MDAI6) in rice roots, with 635 annotated and 282 unannotated genes (S6 Table). Although 394 (43%) and 477 (49%) genes showed similar expression levels for DAI2 and DAI6 (fold change < 2), the expression patterns differed between the H. and M. oryzae secretomes during the infection of rice roots (Fig 5; S6 Table). Furthermore, 149 proteins of the H. oryzae secretome exhibited time-dependent expression (103 for HDAI2 and 46 for HDAI6), a much larger number than for M. oryzae (22 for MDAI2 and 11 for MDAI2) (Fig 5; S6 Table). Sixty one genes in the annotated H. oryzae secretome were upregulated during the infection process (DAI6/DAI2 > 2), a markedly smaller number than for M. oryzae (162 genes) (Fig 5A; S6 Table). At the same time, 201 annotated genes of the H. oryzae secretome were downregulated (DAI6/DAI2 < 0.5), many more than for the M. oryzae secretome (105 genes). However, no divergence in expression patterns was found between the unannotated secretomes (Fig 5B; S6 Table).
Fig 5

Summary of H. and M. oryzae secretome expression. Fold-changes of gene expression (DAI6 versus DAI2) are presented.

(a) Annotated secretomes. (b) Unannotated secretomes. DAI2 and DAI6 refer to transcripts expressed by H. or M. oryzae infecting rice roots at 2 and 6 days after inoculation, respectively. Unregulated genes, genes with fold-change ≤ 2 and ≥ 0.5; Upregulated genes, genes with fold change > 2; Downregulated genes, genes with fold change < 0.5.

Summary of H. and M. oryzae secretome expression. Fold-changes of gene expression (DAI6 versus DAI2) are presented.

(a) Annotated secretomes. (b) Unannotated secretomes. DAI2 and DAI6 refer to transcripts expressed by H. or M. oryzae infecting rice roots at 2 and 6 days after inoculation, respectively. Unregulated genes, genes with fold-change ≤ 2 and ≥ 0.5; Upregulated genes, genes with fold change > 2; Downregulated genes, genes with fold change < 0.5. We further analysed the functions of the secretome genes that exhibited differential expression levels (Fig 6). Most of the H. oryzae genes involved in plant cell wall degradation, such as proteins containing Glyco_hydro, peptidase, lipase, tyrosinase, cutinase, cellulase, CBM, and LysM domains, were downregulated during infection. However, most of the genes with the same function were upregulated during the M. oryzae infection process. In addition, far more genes of the M. oryzae secretome involved in oxidation-reduction processes (including proteins with FAD_binding, GMC_oxred, and Cu-oxidase domains) were upregulated compared with H. oryzae (Fig 6).
Fig 6

Expression patterns of genes encoding secreted proteins in H. and M. oryzae.

(a) H. oryzae genes. (b) M. oryzae genes. Red, decrease in transcript abundance; green, increase in transcript abundance. Heat maps were produced based on expression changes (log2 DAI6/DAI2). 1, proteins with Glyco_hydro domain; 2, peptidase; 3, lipase; 4, tyrosinase; 5, cutinase; 6, cellulase; 7, proteins with CBM domain; 8, proteins with Chitin_bind_1 domain; 9, proteins with LysM domain, 10, proteins with FAD_binding_4 domain; 11, proteins with Cu-oxidase domain; and 12, proteins with GMC_oxred_N domain.

Expression patterns of genes encoding secreted proteins in H. and M. oryzae.

(a) H. oryzae genes. (b) M. oryzae genes. Red, decrease in transcript abundance; green, increase in transcript abundance. Heat maps were produced based on expression changes (log2 DAI6/DAI2). 1, proteins with Glyco_hydro domain; 2, peptidase; 3, lipase; 4, tyrosinase; 5, cutinase; 6, cellulase; 7, proteins with CBM domain; 8, proteins with Chitin_bind_1 domain; 9, proteins with LysM domain, 10, proteins with FAD_binding_4 domain; 11, proteins with Cu-oxidase domain; and 12, proteins with GMC_oxred_N domain. For the H. oryzae secretome, we detected expression of 63 genes encoding proteins containing motif 1, 2, or 3, including 26 genes with both motifs 1 and 2. Among these, 24 genes were downregulated, whereas two were upregulated. Fewer genes encoding proteins with motifs 1, 2, or 3 were expressed in M. oryzae (32 genes), 18 of which were downregulated and two were upregulated (S6 Table).

Discussion

Promotion and regulation of the infection process is essential for both endophytic and pathogenic fungi. Analysis of the secretome is a powerful tool to investigate how fungi manage the infection process [5, 22]. For example, analysis of the secretomes of Puccinia graminis and Melampsora larici-populina using an in silico comprehensive analysis pipeline identified eight families of candidate effectors with high value for functional characterisation [22]. Investigation of the arsenal of proteins secreted by Sclerotinia sclerotiorum and Botrytis cinerea, identified refined secretomes with 432 and 499 proteins, respectively, providing a greater understanding of the necrotrophic infection process [5]. In our previous study of the H. oryzae genome, we focused on the characterisation of 167 small secreted cysteine-rich proteins (SSCRPs), which contained more than 4% cysteine residues and were at most 200 amino acids in length [16]. The prediction of these secreted proteins used a less stringent selection criteria and was based on a limited interspecies comparison, while the expression patterns were almost ignored. Therefore, in this study, the detailed analysis of the secretomes of four closely related fungi, namely H. oryzae, M. oryzae, G. graminis, and M. poae (including both an endophyte and pathogens) provides us with much more information about how secretomes affect infection by fungi with different lifestyles, and allow more informed choices to be made when choosing secreted proteins to be verified for function during infection. We predicted full and refined H. oryzae, M. oryzae, G. graminis, and M. poae secretomes containing 1142, 1370, 1001, and 974 proteins, respectively, thereby significantly expanding the analysis of SSCRPs reported previously [16]. Some secreted protein-encoding genes such as the Avr-Pita1 genes (MGG_15370, MGG_14981, and MGG_15212), which were clustered in an M. oryzae-specific group, and the Avr-piz gene MGG_18041, which was present as a singleton, may function as avirulence genes in M. oryzae. Frequent presence/absence of polymorphisms in Avr-genes and rapid evolution of avirulence genes have been detected in M. oryzae and diverse repeated sequences are closely associated with most Avr-genes [23]. Approximately 75% of proteins from the H. oryzae, G. graminis, and M. poae secretomes were consistently present in orthologue groups, more than those of M. oryzae (56%). In addition, the number of proteins with paralogues and species-specific groups in M. oryzae was greater than for the other three species. Furthermore, more singletons were present in the M. oryzae secretome. These results suggest that the M. oryzae secretome may have evolved more rapidly than those of the three related species, resulting in many species-specific secreted proteins. This process would have also led to the retention of fewer secreted proteins of the common ancestor in M. oryzae than in the three other species. PFAM analysis of the four secretomes revealed the abundance of enzymes involved in the breakdown of host plant cell walls, including hydrolysing enzymes that degrade various plant host substrates. Evaluation of the enzymatic activities, GO biological processes, and KEGG metabolic pathways assigned to the secreted proteins confirmed the high representation of polysaccharide catabolic and proteolytic processes among the four secretomes. GH61, the most abundant PFAM domain, is important for degrading lignocellulose in conjunction with cellulases [24]. Although it is not truly a glycosidase, this family is listed as a glycosyl hydrolase in the CAZy classification [25]. In addition, Peptidase_S8, a family of serine proteases, may contribute to plant cell wall degradation by targeting structural proteins, such as hydroxyproline-rich glycoproteins [26, 27]. LysM domains could bind to chitin, a major constituent of fungal cell walls, which can be recognised by host cell surface receptors and trigger an immune response [28]. To overcome immunity, both endophytes and pathogens secrete effector molecules involved in fungal cell wall modification [29, 30]. Four secreted LysM-containing proteins of H. and M. oryzae are expressed consistently during the infection of rice roots. Characterisation of the role of reactive oxygen species (ROS) has shown that the redox state of the host substrate is extremely important in disease establishment [31, 32]. At the same time, ROS originating from a mutualistic endophyte are required to inactivate plant defence responses and maintain mutualism [33]. It has been shown that virulent pathogens, such as M. oryzae, have developed mechanisms for scavenging ROS [34], whereas H. oryzae possesses melanin as an adaptive countermeasure to tolerate oxidative stress [20]. Consistent with these findings, our functional analysis of the four secretomes revealed a large number of proteins predicted to be involved in oxidation-reduction interactions. Enzymes that use FAD as a co-factor are primarily oxygen-dependent oxidoreductases, whereas GMC oxidoreductases constitute a large protein family with oxidoreductase activity which catalyses the transfer of electrons between molecules. In fungi, these enzymes are involved in many processes, such as defence and virulence mechanisms, browning and pigmentation, and melanin production [35, 36]. In addition, tyrosinases, which are abundant in H. oryzae, may also be involved in multiple biological processes, including melanin production [35, 36]. Using a de novo motif search, we detected only three conserved patterns in the combined unannotated secretomes of H. and M. oryzae, which is much less than was described in a similar study [22]. One possible reason for fewer conserved patterns is the rapid evolution of the M. oryzae secretome. This explanation is also supported by the fact that many more motif sites were detected in the H. oryzae secretome than in the M. oryzae secretome. Furthermore, compared to M. oryzae, more motif-containing proteins were expressed during the infection process in H. oryzae. These results suggest that the motif-containing genes may play more important roles for infection by H. oryzae than M. oryzae. The induction of host defences has been reported in the symbiotic interaction of plants and fungi [21, 37]. However, divergent responses of rice to infection by H. oryzae and M. oryzae have been identified, including suppressed defence responses in the interaction with H. oryzae, in contrast with the persistent defence responses induced by M. oryzae [37]. The expression levels of the H. oryzae secretome genes involved in plant cell wall degradation were consistently downregulated, but were upregulated in M. oryzae. The upregulated expression of the M. oryzae secretome genes involved in oxidation-reduction processes may have also resulted from the continuous defence responses of rice roots given that ROS play a vital role in stress responses, programmed cell death (PCD), and plant defences [32]. It has been shown that the host plays important roles in the evolutionary processes of fungi [16]. Thus, the different secretome expression patterns of H. and M. oryzae may represent differences in the feedback of these two kinds of fungi when they interact with the host plant, suggesting communication between fungi and host plants. These results also highlight how secretion and regulation of the expression of proteins and enzymes are important means of fungi-plant communication.

Conclusions

In this study, we characterised the full and refined secretomes of the endophytic fungus H. oryzae and the related phytopathogenic fungi M. oryzae, G. garminis, and M. poae. The secretomes were abundant in proteins involved in the breakdown of host plant cell walls and in oxidation-reduction processes, and exhibited divergent expression patterns during infection of the same host plant by endophytes or pathogens. The next step is to determine whether the observed differences hold for pairs of related mutualists and endophytes in additional host species across the plant kingdom.

Materials and Methods

Secretome prediction

The proteomes of M. oryzae (version 8), G. graminis (version 1), and M. poae (version 1) used in this study were downloaded from the Broad Institute (https://www.broadinstitute.org/) and Genbank (accession number: PRJNA13840, PRJNA37931, and PRJNA13840 respectively). The H. oryzae proteome was the same as that used in our previous report (accession number: PRJNA252809, version 1) [16]. Predictions of signal peptides and cleavage sites were performed using SignalP v4.1 software [38] and sub-cellular targeting was analysed using TargetP v1.1 software [39] with default parameters. Only proteins predicted as being secreted by both methods were considered for further analyses. The proteins were scanned for transmembrane (TM) spanning regions using TMHMM v2.0 software [40] to exclude proteins likely to be retained in the plasma membrane. GPI-anchor proteins were predicted using PreGPI software [41] with default parameters. The final numbers of proteins belonging to the H. oryzae, M. oryzae, G. graminis, and M. poae secretomes were 1142, 1370, 1001, and 974, respectively.

Functional annotation

To characterise putative functions of predicted secretomes, we used BLAST2GO software with automated annotation [42]. Protein sequences were compared with the non-redundant sequence database using the BLASTP algorithm with an e-value less than 1.0e–05 recording max. 20 hits. Proteins with significant hits were classified into GO categories by ‘Mapping’. Data from both analyses were merged into the annotation. PFAM domains were mapped onto proteins of the predicted secretomes using the PFAM batch search server [43] with default parameters. Orthologue groups were identified using OrthoMCL v2.0 software [44] with default parameters. First, orthologue, co-orthologue, and inparalogue pairs were identified with OrthoMCL. The pairs and their weights were used to construct an OrthoMCL graph for clustering with the MCL algorithm [45]. A de novo protein motif search was performed on the combined unannotated H. and M. oryzae secretomes using MEME software [46]. The program was set to report the 10 most robust motifs of 4–12 amino acids, occurring zero or one time per sequence with an e-value less than 1.0e–02.

Expression analysis

H. and M. oryzae RNA-seq data were the same as sets used in our previous study [16], which described the transcriptomes of the two fungi at 2 and 6 days after infection (DAI) of rice roots. Briefly, the blast-susceptible rice cultivar CO-39 (Oryzae sativa), the M. oryzae strain Guy11 and H. oryzae strain R5-6-1 were used in the experiment. Rice seeds were surface sterilized as previously described [20] and planted in half-strength Murashige & Skoog solid medium at 30°C in the dark for 4 days and then grown vertically under a 16-h light/8-h dark photoperiod at 28/24°C for an additional 6 days. M. oryzae were cultured under a 16-h light/8-h dark photoperiod at 25°C, while H. oryzae were cultured in the dark at 25°C. Conidia of M. oryzae were harvested from 10-day-old cultures grown on solid complete medium, and germinating phialidic conidia of H. oryzae were harvested from 4-day-old potato dextrose broth. Inoculations and co-culturing were performed as described previously [16]. All samples were harvested and immediately flash frozen in liquid nitrogen. Total RNA was extracted and then sequenced using the Illumina HiSeq 2000 based on 100bp paired-end read sequencing [16]. All the clean reads were mapped to the genome sequences using TopHat v 2.0.9 [47], and an expression profile was created using Cufflinks v2.0.2 [48]. The RNA-seq data were also validated by quantitative real time (qRT)-PCR, the results of which showed high consistency [16]. Gene expression levels were quantified by fragments per kilobase of exon per million fragments (FPKM) analysis and genes with FPKM values greater than one were considered to be expressed. Heat maps of gene expression profiles were generated using R (www.R-project.org) based on expression changes (log2-fold changes). All data were checked to avoid problems related to Excel converting gene identifiers [49].

Predicted H. oryzae, M. oryzae, G. graminis, and M. poae secretomes.

(XLSX) Click here for additional data file.

Summary of orthologue groups in the H. oryzae secretome compared to the three related species.

(XLSX) Click here for additional data file.

GO distribution of biological processes by level (6).

(XLSX) Click here for additional data file.

PFAM analyses of the H. oryzae, M. oryzae, G. graminis, and M. poae secretomes.

(XLSX) Click here for additional data file.

Summary of PFAM domains in H. oryzae, M. oryzae, G. graminis, and M. poae secretomes.

(XLSX) Click here for additional data file.

Expression of genes encoding secreted proteins in the H. and M. oryzae secretomes.

(XLSX) Click here for additional data file.
  46 in total

1.  Predicting transmembrane protein topology with a hidden Markov model: application to complete genomes.

Authors:  A Krogh; B Larsson; G von Heijne; E L Sonnhammer
Journal:  J Mol Biol       Date:  2001-01-19       Impact factor: 5.469

2.  Transcript profiling coupled with spatial expression analyses reveals genes involved in distinct developmental stages of an arbuscular mycorrhizal symbiosis.

Authors:  Jinyuan Liu; Laura A Blaylock; Gabriella Endre; Jennifer Cho; Christopher D Town; Kathryn A VandenBosch; Maria J Harrison
Journal:  Plant Cell       Date:  2003-09       Impact factor: 11.277

Review 3.  Challenges and progress towards understanding the role of effectors in plant-fungal interactions.

Authors:  Maryam Rafiqi; Jeffrey G Ellis; Victoria A Ludowici; Adrienne R Hardham; Peter N Dodds
Journal:  Curr Opin Plant Biol       Date:  2012-06-01       Impact factor: 7.834

4.  Locating proteins in the cell using TargetP, SignalP and related tools.

Authors:  Olof Emanuelsson; Søren Brunak; Gunnar von Heijne; Henrik Nielsen
Journal:  Nat Protoc       Date:  2007       Impact factor: 13.491

Review 5.  What triggers grass endophytes to switch from mutualism to pathogenism?

Authors:  Carla J Eaton; Murray P Cox; Barry Scott
Journal:  Plant Sci       Date:  2010-10-16       Impact factor: 4.729

6.  Reactive oxygen species play a role in regulating a fungus-perennial ryegrass mutualistic interaction.

Authors:  Aiko Tanaka; Michael J Christensen; Daigo Takemoto; Pyoyun Park; Barry Scott
Journal:  Plant Cell       Date:  2006-03-03       Impact factor: 11.277

7.  Using hierarchical clustering of secreted protein families to classify and rank candidate effectors of rust fungi.

Authors:  Diane G O Saunders; Joe Win; Liliana M Cano; Les J Szabo; Sophien Kamoun; Sylvain Raffaele
Journal:  PLoS One       Date:  2012-01-06       Impact factor: 3.240

8.  Gene name errors are widespread in the scientific literature.

Authors:  Mark Ziemann; Yotam Eren; Assam El-Osta
Journal:  Genome Biol       Date:  2016-08-23       Impact factor: 13.583

9.  A novel pathogenicity gene is required in the rice blast fungus to suppress the basal defenses of the host.

Authors:  Myoung-Hwan Chi; Sook-Young Park; Soonok Kim; Yong-Hwan Lee
Journal:  PLoS Pathog       Date:  2009-04-24       Impact factor: 6.823

10.  LysM effectors: secreted proteins supporting fungal life.

Authors:  Anja Kombrink; Bart P H J Thomma
Journal:  PLoS Pathog       Date:  2013-12-12       Impact factor: 6.823

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  5 in total

1.  Necrotrophic lifestyle of Rhizoctonia solani AG3-PT during interaction with its host plant potato as revealed by transcriptome analysis.

Authors:  Rita Zrenner; Franziska Genzel; Bart Verwaaijen; Daniel Wibberg; Rita Grosch
Journal:  Sci Rep       Date:  2020-07-28       Impact factor: 4.379

Review 2.  Multifaceted Interactions Between Endophytes and Plant: Developments and Prospects.

Authors:  Ekta Khare; Jitendra Mishra; Naveen Kumar Arora
Journal:  Front Microbiol       Date:  2018-11-15       Impact factor: 5.640

Review 3.  Metabolites Produced by Fungi against Fungal Phytopathogens: Review, Implementation and Perspectives.

Authors:  Sara Rodrigo; Carlos García-Latorre; Oscar Santamaria
Journal:  Plants (Basel)       Date:  2021-12-28

4.  Changes in the leaf proteome profile of Withania somnifera (L.) Dunal in response to Alternaria alternata infection.

Authors:  Varinder Singh; Baldev Singh; Robin Joshi; Puneet Jaju; Pratap Kumar Pati
Journal:  PLoS One       Date:  2017-06-02       Impact factor: 3.240

5.  Genomic characteristics and comparative genomics analysis of the endophytic fungus Sarocladium brachiariae.

Authors:  Yang Yang; Xiaobao Liu; Jimiao Cai; Yipeng Chen; Boxun Li; Zhikai Guo; Guixiu Huang
Journal:  BMC Genomics       Date:  2019-10-28       Impact factor: 3.969

  5 in total

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