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Keywords:

  • Glomeromycota;
  • Glomus;
  • meiosis and recombination genes;
  • mycorrhiza;
  • small secreted proteins;
  • symbiosis;
  • transcript profiling

Summary

  1. Top of page
  2. Summary
  3. Introduction
  4. Materials and Methods
  5. Results and Discussion
  6. Acknowledgements
  7. References
  8. Supporting Information
  • The arbuscular mycorrhizal symbiosis is arguably the most ecologically important eukaryotic symbiosis, yet it is poorly understood at the molecular level. To provide novel insights into the molecular basis of symbiosis-associated traits, we report the first genome-wide analysis of the transcriptome from Glomus intraradices DAOM 197198.
  • We generated a set of 25 906 nonredundant virtual transcripts (NRVTs) transcribed in germinated spores, extraradical mycelium and symbiotic roots using Sanger and 454 sequencing. NRVTs were used to construct an oligoarray for investigating gene expression.
  • We identified transcripts coding for the meiotic recombination machinery, as well as meiosis-specific proteins, suggesting that the lack of a known sexual cycle in G. intraradices is not a result of major deletions of genes essential for sexual reproduction and meiosis. Induced expression of genes encoding membrane transporters and small secreted proteins in intraradical mycelium, together with the lack of expression of hydrolytic enzymes acting on plant cell wall polysaccharides, are all features of G. intraradices that are shared with ectomycorrhizal symbionts and obligate biotrophic pathogens.
  • Our results illuminate the genetic basis of symbiosis-related traits of the most ancient lineage of plant biotrophs, advancing future research on these agriculturally and ecologically important symbionts.

Introduction

  1. Top of page
  2. Summary
  3. Introduction
  4. Materials and Methods
  5. Results and Discussion
  6. Acknowledgements
  7. References
  8. Supporting Information

The arbuscular mycorrhizal (AM) symbiosis between fungi in the Glomeromycota (Schüssler et al., 2001) and plants involves over two-thirds of all known plant species, including important crop species, such as wheat (Triticum aestivum), rice (Oryza sativa), maize (Zea mays), soybean (Glycine max) and poplar (Populus spp.). This mutualistic symbiosis, involving one of the oldest fungal lineages, is arguably the most ecologically and agriculturally important symbiosis in terrestrial ecosystems (Fitter et al., 2011). The extraradical mycelium (ERM) of the symbiont acts as an extension of the root system and increases the uptake of key nutrients, particularly phosphorus (P) and zinc (Zn) and possibly also nitrogen (N) (Smith & Smith, 2011). These fungi are therefore crucial to plant growth (Smith & Read, 2008) and also define the diversity of plants in ecosystems (van der Heijden et al., 1998). Furthermore, because the colonization of plants by AM fungi can also result in a 20% net increase in photosynthesis (Smith & Read, 2008), these universal mycosymbionts make a very large, poorly understood contribution to the global carbon cycling budget of ecosystems.

The Glomeromycota are unique in that their spores and coenocytic hyphae contain multiple nuclei in a common cytoplasm. No sexual cycle is known, although anastomosis and nuclear movement between hyphae of the same species have been described (Giovannetti et al., 2001), as well as genetic exchange between AM fungal individuals (Croll et al., 2008, 2009). Furthermore, the concept of an individual is unclear as nuclei within a single AM fungus appear to be genetically different in some species, which raises substantial questions about the natural selection, population genetics and gene expression of these highly unusual organisms (Jany & Pawlowska, 2010; Sanders & Croll, 2010). AM fungi are thought to grow clonally, but controversy clouds their ploidy, their genome size, and whether or not they can reproduce sexually (for a review, see Sanders & Croll, 2010). Evidence for recombination has been provided, but whether mating and meiosis are involved is unknown (Croll & Sanders, 2009). There is therefore a need to identify genes whose products are required for proper completion of meiotic recombination.

Root colonization by AM fungi follows a series of distinct steps (for a review, see Bonfante & Genre, 2010) starting with a presymbiotic molecular dialogue that involves root-released strigolactones (Akiyama et al., 2005) and AM fungal signaling molecules, such as lipochitooligosaccharides (Maillet et al., 2011). AM fungi are obligate mutualistic symbionts that can only grow for a limited time without colonizing a susceptible host root (Bécard et al., 2004). This has been suggested to be a consequence of some nutritional deficiencies and loss of metabolic pathways, such as an absence of de novo fatty acid synthesis (Bago et al., 2000), during the asymbiotic and presymbiotic phases related to putative genome erosion (Ercolin & Reinhardt, 2011). After spore germination, the first contact at the root surface is marked by the differentiation of the fungal hyphae into an appressorium from which a penetration hypha invades the root epidermis (Genre et al., 2005). After the fungus has traversed the outer cell layers it spreads in the inner cortex, that is, intraradical mycelium (IRM), and forms highly branched structures inside cortical cells, so-called arbuscules. Arbuscules are the main site of nutrient transfer from the fungus to the plant (Javot et al., 2007; Bonfante & Genre, 2010; Smith & Smith, 2011). Arising from the colonized roots, the ERM proliferates in the growth medium, where it absorbs and assimilates the available nutrients before their transfer to the host plant. Major transcriptome shifts are thus expected during these different key developmental stages, but little is known of the repertoire of effector-like proteins, membrane transporters and assimilative enzymes involved in these different steps of symbiosis development and functioning.

The ability to establish a sophisticated zone of interaction, such as the haustorium in pathogenic oomycetes and fungi interacting with plants, requires sophisticated host defense suppression (Dodds & Rathjen, 2010), which is predominantly achieved via secreted proteins delivered into the host cell (Kamoun, 2007). The protein SP7 of Glomus intraradices is secreted and transferred to the plant cell nucleus in colonized roots of Medicago truncatula, where it binds to the host ethylene-responsive transcriptional factor regulating the expression of several defense-related genes (Kloppholz et al., 2011). It remains to be determined whether G. intraradices expresses genes coding for additional secreted effector-like proteins during its interaction with the host plant.

The mycorrhizal colonization leads to quantitative and qualitative changes in the host transcriptome. Plant genes that are specifically regulated during the establishment and/or functioning of the AM symbiosis have been identified by both targeted and high-throughput expression profiling in several sequenced model and crop plants (Güimil et al., 2005; Balestrini & Lanfranco, 2006; Gomez et al., 2009; Grunwald et al., 2009; Guether et al., 2009a). In contrast, regulation of gene expression in the AM fungal symbionts caused by interactions with roots has so far been poorly explored, and studies have mainly been based on targeted approaches providing only narrow insights into fungal adaptation to the symbiotic mode (Gomez et al., 2009; Seddas et al., 2009; Tani et al., 2009; Kuznetsova et al., 2010). Most studies have focused on P transport and metabolism (Viereck et al., 2004; Benedetto et al., 2005; Balestrini et al., 2007; Javot et al., 2007; Gómez-Ariza et al., 2009; Grunwald et al., 2009) and primary carbon metabolism (Bago et al., 2000, 2003; Schaarschmidt et al., 2006). Further studies adopting a microarray or high-throughput sequencing approach are definitely warranted, because they could provide a wider understanding of how genetic changes in the plant affect overall patterns of fungal gene expression, as well as the impact of the fungal genotypes on symbiosis fitness and plant growth (Angelard et al., 2010).

Biotrophs are widely accepted to intimately interact and co-evolve with their hosts. The genetic changes that brought about the evolution of obligate biotrophy in the Glomeromycota are, however, unknown. Recent research on obligate biotrophic pathogens, such as the powdery mildew fungus Blumeria graminis (Spanu et al., 2010), the downy mildew oomycete Hyaloperonospora arabidopsidis (Baxter et al., 2010), the oomycetous white rust Albugo laibachii (Kemen et al., 2011), and the poplar and stem rusts Melampsora larici-populina and Puccinia graminis, respectively (Duplessis et al., 2011), reveals a close correlation between the biotrophic life style and gene losses in primary and secondary metabolism. In the oomycetes, all haustorium-forming species have lost the thiamine biosynthetic pathway, suggesting that haustorial oomycetes obtain thiamine from the host (Kemen et al., 2011). It appears that biotrophy in these obligate plant pathogens is also associated with a convergent loss of secondary metabolic enzymes and an extremely reduced set of carbohydrate-active enzymes devoted to plant cell wall depolymerization. Genes for nitrate and nitrite reductases, a nitrate transporter, and sulfite reductase are also often missing. This streamlining of metabolism presumably reflects adaptation to life within host cells, as it is not observed in nonobligate biotrophic pathogens. Whether similar events have also characterized AM fungal evolution remains to be determined.

As mentioned above, transcriptome studies have been pursued on AM roots in multiple plant species under a variety of experimental conditions, but they have mainly focused on the host plant transcriptome. No single study has yet brought together genome-wide transcriptomic data for the fungal component of this important symbiosis. The aim of this study was to establish a comprehensive, genome-wide inventory of gene expression in G. intraradices DAOM197198 by sequencing cDNA libraries from different fungal structures (germinated spores, extra- and intraradical mycelium, and arbuscules). Through transcriptomic analyses, we also wished to identify which of these genes were induced upon symbiosis and, further, to assign the differentially expressed transcripts to key symbiotic mechanisms, such as nutrient transport and assimilation, host colonization, and signaling pathways. Several factors have led to the choice of G. intraradices for the first large-scale transcriptome sequencing of an AM fungus. As a symbiont, G. intraradices is highly effective in mobilizing, taking up and transferring mineral nutrients, such as inorganic orthophosphate ions (Pi), N and sulfur (S), from soils to plants (Govindarajulu et al., 2005; Allen & Shachar-Hill, 2009; Tian et al., 2010; Smith & Smith, 2011) and it readily colonizes many plants, including agriculturally important crop species (e.g. alfalfa (Medicago truncatula), poplar, rice and wheat) as well as model plants such as M. truncatula and Lotus japonicus. Glomus intraradices is one of the most studied AM fungi as it rapidly colonizes its host plants, and it is a model species for dissecting the molecular and cellular biology of the Glomeromycota (Seddas et al., 2009; Sanders & Croll, 2010). It is readily amenable to in vitro culture on transformed host roots (Chabot et al., 1992) and is the only species for which spores are available commercially in pure form in large quantities.

The comparative analyses of gene repertoires in G. intraradices, pathogenic obligate biotrophs and ectomycorrhizal fungi offer insights into genes that may be involved in obligate biotrophy and mycorrhizal symbioses. In the absence of a whole-genome sequence for any member of the phylum Glomeromycota (Martin et al., 2008a), the availability of large-scale expressed sequenced tag (EST) collections represents the core foundation for understanding genome functionality in the Glomeromycota.

Materials and Methods

  1. Top of page
  2. Summary
  3. Introduction
  4. Materials and Methods
  5. Results and Discussion
  6. Acknowledgements
  7. References
  8. Supporting Information

Biological material

Glomus intraradices Schenck & Smith DAOM 197198 (recently reassigned to G. irregulare and then Rhizophagus irregularis (Błaszk., Wubet, Renker & Buscot) C. Walker & A. Schüßler comb. nov.; see Stockinger et al., 2009) was produced in monoxenic cultures maintained on Agrobacterium rhizogenes-transformed carrot (Daucus carota; clone DC2) roots (Bécard & Fortin, 1988). Germinated spores were produced as described by Chabot et al. (1992). Biological materials used for cDNA library construction and microarray transcript profiling are summarized in Table 1. Protocols for producing the biological materials, RNA purification and cDNAs are described in the online Supporting Information Methods S1. For array profiling, G. intraradices ERM was grown on liquid M medium without sucrose for 3 wk before harvesting. Glomus intraradices- and mock-inoculated roots of M. truncatula were prepared as described for the cDNA library AKNA (Methods S1). Germinated spores were sampled as described for the cDNA library AKND (Methods S1) (Balestrini et al., 2007). Samples were snap-frozen in liquid N2.

Table 1. Glomus intraradices tissues used in the extraction of transcripts for cDNA library construction and oligoarray profiling
SamplesSanger sequencing454 sequencingArray profiling
  1. GR24, strigolactone GR24; API, apigenin; ERM, extraradical mycelium; IRM, intraradical mycelium; AKNA, AKNB, AKNC, AKND, CACE, CCHU, EXTA and EXTB stand for cDNA library IDs. AKNA, M. truncatula IRM; AKNB, germinated spores incubated in apigenin for 24 h; AKNC, germinated spores incubated in the strigolactone GR24 for 24 h; AKND, laser-microdissected M. truncatula arbusculed cells; CACE, M. truncatula ERM; CCHU, germinated spores; EXTA, germinated spore mix; EXTB, M. truncatula ERM; LMD, laser microdissection system.

  2. *The cDNA library AKNA has been constructed using mRNA from a mix of the three replicates also used for microarray transcript profiling.

Germinated sporesCCHU Three replicates
Germinated spores mix = spores + spores in GR24 + spores in API EXTA 
Germinated spores in GR24 AKNC 
Germinated spores in API AKNB 
Daucus carota ERMCACEEXTB 
Medicago truncatula ERM  Three replicates
M. truncatula IRM AKNA*Three replicates
LMD-microdissected arbuscule-containing cells AKND 

EST sequencing, filtering and assembly

Sanger sequencing was performed on ABI3730xl analyzers (Applied Biosystems, Nutley, NJ, USA) and pyrosequencing on the Genome Sequencer FLX System (454 Life Sciences/Roche, Nutley, NJ, USA). Reads (797 394) were filtered and trimmed for low quality, low complexity, and adaptor sequences using SeqClean (TIGR (The Institute for Genomic Research); http://sourceforge.net/projects/seqclean/) (Supporting Information Fig. S1). Sequences ≤ 100 bp were discarded. The resulting high-quality sequences were screened to detect potential bacterial and fungal contaminant sequences, and plant sequences present in cDNAs from symbiotic tissues. Sequences having a GC% higher than that of G. intraradices (i.e. ≥ 45%) were removed (Fig. S2). Sequences with a high nucleotide sequence similarity (BLASTN e-value ≤ 1e-5, score ≥ 150, % identity ≥ 95) with identified contaminants, Aspergillus spp. and Chromobacterium violaceum, as well as the M. truncatula genome and transcripts, and other plant DNA (e.g. carrot) were also removed (Fig. S1). Finally, to avoid the loss of G. intraradices outlier sequences, removed sequences were aligned to the G. intraradices draft genome using BLASTN (e-value ≤ 1e-5, score ≥ 150) at the INRA GlomusDB website (http://mycor.nancy.inra.fr/IMGC/GlomusGenome/index3.html) and retained when sequence similarity was ≥ 95%. Filtered reads were then assembled using the MIRA assembler (Chevreux et al., 2004). To choose the best assembly, several assemblies were constructed using different parameters and several indexes were measured, including the number of nonredundant virtual transcripts (NRVTs), the percentage of assembled reads and the percentage of NRVTs with hits against gene models from the taxonomically related, although distant, Mucoromycotina Rhizopus oryzae (http://genome.jgi-psf.org/Rhior3/Rhior3.home.html) (Supporting Information Table S1). The assembly generated by MiraSearchESTSNPs was selected. The number of detected NRVTs increased with the number of reads and the rarefaction curve did not reach a plateau (Fig. S3a). However, many of these sequences may be the result of DNA pyrosequencing errors creating false transcripts. This is an acute problem for the AT-rich sequences of G. intraradices. In contrast, the number of protein sequences documented in the Swiss-Prot DNA database (http://www.uniprot.org/) and R. oryzae gene repertoire showing a similarity to G. intraradices NRVTs plateaued at approx. 5500 homologs (Fig. S3b), suggesting that most of the transcriptome of G. intraradices was covered. This was confirmed by a TBLASTN search (cut-off e-value of 1e-5) using the protein sequences of the core eukaryotic genes (CEGs) (Parra et al., 2009); 245 (98.7%) of the 248 CEG proteins were found in the current G. intraradices transcriptome. The missing protein sequences were a metal-binding protein, a spindle assembly checkpoint protein and a monooxygenase involved in coenzyme Q (ubiquinone) biosynthesis. Eighty-six per cent of NRVTs matched the current G. intraradices 52.5 Mb-genome assembly (Martin et al., 2008a), confirming that most filtered, high-quality ESTs were from G. intraradices.

Single-nucleotide polymorphisms (SNPs) in NRVTs were identified with MiraSearchESTSNPs using the following parameters: minimum reads, 2 (Sanger) or 4 (454); minimum quality value, 30 (Sanger) or 25 (454); minimum neighbor quality value, 20.

For the digital northern gene expression, the number of reads for each NRVT in each library was counted and the relative frequency (reads of a given NRVT divided by the total number of reads) was obtained. Significant differences in gene expression between libraries for each NRVT were calculated (Audic & Claverie, 1997).

EST sequences are available at the National Center for Biotechnology Information (NCBI) (accession numbers GW091323GW125581 and GW086621GW090678). A MySQL/PHP database compiling NRVT sequences and annotations is available at the INRA GlomusDB website. This server can also be used to query the ESTs and the draft genome assembly using BLAST programs.

Functional annotation

NRVTs were compared against Swiss-Prot using BLASTX with a significance threshold (e-value < 1e-5). Gene annotations were assigned to each NRVT based on the best BLAST hits. Sequences were searched against the G. intraradices draft genome contigs (version ‘test14’) at the INRA GlomusDB using BLASTN (e-value ≤ 1e-5). NRVTs were also compared with proteins of Basidiomycota (Cryptococcus neoformans, Laccaria bicolor, M. larici-populina, Phanerochaete chrysosporium and Ustilago maydis), Ascomycota (Aspergillus nidulans, B. graminis, Botrytis cinerea, Magnaporthe grisea, Neurospora crassa and Tuber melanosporum) and Mucoromycotina (R. oryzae and Mucor circinelloides) using BLASTX (e-value ≤ 1e-5). To identify conserved protein domains in NRVTs, predicted protein sequences were compared with the Eukaryotic Orthologous Groups (KOG) database (Tatusov et al., 2003). The counts of each KOG domain by species were transformed into a z-scores matrix to center the data, and visualization was performed using MeV (MultiExperiment Viewer) (Saeed et al., 2006). The gene ontology (GO) terms (Ashburner et al., 2000) were assigned to each sequence using BLAST2GO (Conesa et al., 2005). Enrichment analysis of GO annotations was carried out with BINGO (http://www.psb.ugent.be/cbd/papers/BiNGO/Home.html) using the hypergeometric test and Benjamini and Hochberg’s false discovery rate (FDR) multiple testing correction ( 0.05) (Maere et al., 2005).

To predict G. intraradices metabolic pathways, sequences were queried for Kyoto Encyclopedia of Genes and Genomes (KEGG) Orthology (KO) assignments (Kanehisa & Goto, 2000) using the KEGG Automatic Annotation Server (KAAS) (Moriya et al., 2007) and results were then plotted into the KEGG Global metabolic atlas (map01100) using iPATH (Letunic et al., 2008). A high-resolution version of this metabolic pathway map can be downloaded at: http://mycor.nancy.inra.fr/IMGC/GlomusGenome/download/Gi_metabolic_map.pdf.

To identify sequences encoding secreted proteins, NRVTs were translated into protein using FrameFinder (http://www.ebi.ac.uk/~guy/estate/). In silico predictions of secreted proteins were then carried out using SignalP 3.0 (Bendtsen et al., 2004), TargetP 1.1 (Emanuelsson et al., 2000) and tmhmm 2.0 (prediction of transmembrane helices in proteins) (Krogh et al., 2001) as previously reported in Duplessis et al. (2011). Small secreted proteins (SSPs) were selected based on an arbitrary cut-off of 300 amino acids (Duplessis et al., 2011).

Oligoarray design

For the design of custom oligoarrays, a MIRA assembly (v. 1.0) comprising 22 254 NRVTs was constructed using cDNA libraries CACE, CCHU, EXTA and EXTB. At the time, sequences from the AKNA, AKNB, AKNC and AKND libraries were not available. To ensure that all sequences were sufficiently long to allow the design of high-quality probes, we selected the subset of sequences ≥ 200 bp in length (n = 19 465). To remove redundancy among sequences that would produce cross-hybridation, the assembled NRVTs were clustered based on nucleotide sequence similarity using BLASTClust (http://www.ncbi.nlm.nih.gov/Web/Newsltr/Spring04/blastlab.html). Within each cluster, sequences were ranked by length, and the longer member of each cluster was selected (n = 15 932). We also selected singleton sequences with matches in NCBI databases and with length ≥ 200 bp (n = 2046). We then added 2327 NRVTs generated by the Paracel Transcript Assembler (Striking Development; http://www.paracel.com/) (S. Rensing, unpublished results) which are not found in the MIRA NRVT set. We also included 12 G. intraradices reference sequences downloaded from the NCBI, 23 G. intraradices mitochondrial sequences (C. Roux, unpublished results) and 70 G. intraradices sequences generated from the manual annotation of the G. intraradices genome and not found in the NRVTs. Finally, 4471 remaining singleton Sanger sequences without matches in public databases were added. For 2477 sequences of this set, no probe could be designed, probably because of their relative high A + T content, which resulted in a higher-than-usual prevalence of homopolymer runs and other forms of low-complexity sequences. This procedure produced a total set of 22 404 sequences containing 14 828 MIRA NRVTs, 1976 PARACEL NRVTs, 5496 singletons and 104 additional sequences. This set did not include NRVTs from symbiotic tissues not available when the custom array was constructed. However, c. 80% of the NRVTs used to construct the oligoarray were found by BLASTN in the 25 906 MiraSearchESTSNPs NRVTs.

The G. intraradices expression array (4 × 72K) manufactured by Roche NimbleGen Systems Limited (Madison, WI, USA) (http://www.nimblegen.com/products/exp/index.html) contained three independent, nonidentical, 60-mer probes per sequence. Included in the oligoarray were G. intraradices sequences, and 5785 random 60-mer control probes.

Transcript profiling

Whereas biological samples used for cDNA sequencing were produced by several different collaborators, biological materials used for microarray transcript profiling were generated in triplicate in a small number of laboratories: spores at the Laboratoire de Recherche en Sciences Végétales (Université de Toulouse, France), M. truncatula ERM at the Departamento de Microbiología del Suelo y Sistemas Simbióticos (Estación Experimental del Zaidín, CSIC, Granada, Spain) and M. truncatula IRM at the Boyce Thompson Institute for Plant Research (Tower Road, Ithaca, NY, USA). cDNA synthesis was carried out at INRA-Nancy.

RNA was extracted from mycorrhizal roots with Trizol reagent (Invitrogen Corporation, Carlsbad, CA, USA) with additional phenol : chloroform (1 : 1, v/v) purification steps, from ERM and spores using the RNeasy Plant Mini Kit (Qiagen) with RLT lysis buffer. RNA from mycorrhizal roots was treated with Turbo DNase I (Ambion Inc., Austin, TX, USA) and purified with the RNeasy MinElute CleanUp kit (Qiagen). DNase treatment of RNA from ERM was performed using RNAse-free DNase (Qiagen). RNA quality was checked before cDNA synthesis using the Bio-Rad Experion analyzer. RNA preparations (three biological replicates) were amplified using the SMART PCR cDNA Synthesis Kit (Takara Bio Europe/Clontech, Saint-Germain-en-Laye, France) according to the manufacturer’s instructions. Single dye labeling of cDNA samples, hybridization procedures and data acquisition were performed at the NimbleGen facilities (NimbleGen Systems, Reykjavik, Iceland) following their standard protocol. As ERM and IRM materials were not produced in strictly similar conditions, transcript profiles of ERM and IRM should be compared with caution.

Average expression levels were calculated for each gene from the independent probes on the array and were used for further analysis. Raw array data were normalized by the robust multiarray average (RMA) routine using the ARRAYSTAR software (Dnastar Inc., Madison, WI, USA). A transcript was deemed expressed when its signal intensity was three-fold higher than the mean signal-to-noise threshold (cut-off value) of the random oligonucleotide probes present on the array (50–100 arbitrary units). The maximum signal intensity values for the most abundant transcripts were c. 65 000 arbitrary units. A control hybridization was performed with cDNA from uninfected M. truncatula roots to evaluate any plant RNA cross-hybridization with G. intraradices sequences and to detect any plant-derived probes on the array. The later probe signals were discarded. A Student’s t-test with FDR correction (Benjamini–Hochberg) was applied to the data using ARRAYSTAR. Transcripts with a significant P-value (< 0.05) and ≥ five-fold change in transcript level were considered to be differentially expressed. The complete expression data set is available as series (accession number GSE29866) at the Gene Expression Omnibus at NCBI (http://www.ncbi.nlm.nih.gov/geo/).

Validation of oligoarray data

To obtain the biological material for the PCR validation of oligoarray data, 6000 arbuscule-containing cells from M. truncatula roots (2000 cells for each of three biological replicates) were microdissected using a laser microdissection system (LMD) according to Balestrini et al. (2007). ERM from monoxenic M. truncatula cultures and c. 6000 germinated spores were sampled, snap-frozen in liquid N2 and stored at −80°C until used. Total RNA was extracted using the RNeasy Microarray Tissue Mini Kit (Qiagen, Courtaboeuf, France) following the manufacturer’s instructions. All reverse transcriptase (RT)-PCR assays were carried out using the One Step RT-PCR kit (Qiagen). DNA contamination in RNA samples was evaluated using the G. intraradices elongation factor GintEF1α gene specific primers for G. intraradices. To determine the amount of extracted RNA, a semiquantitative RT-PCR using GintEF1α specific primers was performed. Reactions were carried out in a final volume of 25 μl. Amplification reactions were run for 40 cycles of 94°C for 30 s, 58°C for 30 s, and 72°C for 30 s, and an aliquot of the PCR reaction was taken after 35, 37 and 40 cycles.

Results and Discussion

  1. Top of page
  2. Summary
  3. Introduction
  4. Materials and Methods
  5. Results and Discussion
  6. Acknowledgements
  7. References
  8. Supporting Information

An obligate biotroph with a large gene repertoire

The cDNA libraries of G. intraradices listed in Table 1 were sequenced to assess the size and diversity of the fungus gene repertoire and explore the responses of the AM fungus at key developmental stages, germinated spores, ERM and IRM. After sequencing, the de novo hybrid clustering of the 437 411 filtered reads produced 25 906 NRVTs (Table S1); 87% of the reads were in the assembly corresponding to 20.3 Mbp of nonredundant sequences. Only 10 823 NRVTs (41.8%) matched database sequences (cut-off e-value of 1e-5) in BLAST searches against genes from fungi other than Glomeromycota (Fig. S4). Homologous NRVTs corresponded to 8773 unique known genes in the DNA databases. Among the predicted peptide sequences, 9035 and 9265 showed significant sequence similarity to proteins from R. oryzae and M. circinelloides, respectively, distantly related fungi in the order Mucorales (Fig. S4). NRVTs that did not match any of the known genes still gave highly relevant hits against the G. intraradices draft genome, suggesting that these represent novel orphan genes. As many G. intraradices transcripts are represented by two NRVTs (i.e. aligning to the 5′ or 3′ end of the transcript) with an NRVT:gene ratio of 1.4, the number of nonredundant expressed transcripts in G. intraradices was c. 18 500 (25 906/1.4).

Based on BLASTClust analysis, the number of NRVTs found in multigene families was low, with 120 (90% sequence identity; 80% sequence coverage) to 500 (90% sequence identity; 50% sequence coverage) NRVTs, most of the gene families having only two members.

Although the vast majority of genes encoding enzymes of primary metabolism are retained in obligate biotrophic pathogens (downy and powdery mildews, white rust, and poplar and stem rusts), notable exceptions include anaerobic fermentation, biosynthesis of glycerol from glycolytic intermediates, biosynthesis of thiamine, and nitrate and sulfate assimilation (Baxter et al., 2010; Spanu et al., 2010; Duplessis et al., 2011; Kemen et al., 2011). Out of the 25 906 G. intraradices NRVTs, 5296 (20.4%) had significant matches in the KEGG pathway database and were assigned to 175 KEGG pathways. Most KEGG enzymes were mapped to NRVTs (see the metabolic pathway map online at http://mycor.nancy.inra.fr/IMGC/GlomusGenome/download3.php?select=anno), indicating the occurrence of these active metabolic processes in G. intraradices mycelium. In contrast to oomycete and fungal biotrophic pathogens, transcripts coding for nitrate and nitrite reductases, nitrate transporter, and sulfite reductase were highly expressed in G. intraradices. However, G. intraradices has lost the thiamine biosynthetic pathway (Table S2), as have most haustorium-forming species (Kemen et al., 2011). We infer that G. intraradices obtains thiamine from the host. There is no invertase transcript in the G. intraradices transcriptome (Table S2), implying that this fungus depends on the plant to both provide and hydrolyse sucrose, with the glucose moiety then preferentially transferred to the mycobiont. This is consistent with earlier observations (Schaarschmidt et al., 2006). Additional genes missing from biotrophic pathogens (Spanu et al., 2010), such as those coding for the allantoin permease DAL4p, the uracil permease FUR4p, and several enzymes involved in aromatic amino acid metabolism and detoxification, were also missing from G. intraradices (Table S2). Although some metabolic pathways are missing in G. intraradices, we hypothesize that evolution to biotrophy in G. intraradices was not initiated by massive loss of metabolic complexity as observed in obligate biotrophic pathogens (Spanu et al., 2010). The mycobiont retains the ability to take up and assimilate nutrients from its soil environment.

Protein domain distributions

About half (5056) of the 10 823 peptide sequences from G. intraradices with sequence similarity to documented proteins in databases were shared with all other fungal species and can thus be considered ubiquitous among fungi. The comparison of protein sets of G. intraradices with those of R. oryzae and M.  circinelloides showed that 1076 proteins were unique to these basal lineages of aseptate, coenocytic fungi. Interestingly, a small set of G. intraradices protein sequences were only shared with one or other of the sequenced mycorrhizal symbionts, the ascomycete T. melanosporum (49 NRVTs) or the basidiomycete L. bicolor (107 NRVTs). They mainly code for hypothetical proteins with no known function, although a few predicted proteins belong to signaling pathways. A total of 9321 NRVTs contained at least a part of a conserved protein domain in the KOG database. Compared with other fungal gene repertoires, G. intraradices showed an overrepresentation of proteins involved in signaling pathways and ubiquitin-related metabolism (Fig. 1). The expansion of the tyrosine kinase-encoding gene family involved in signaling pathways is also a feature of the ectomycorrhizal L. bicolor genome (Fig. 1; Martin et al., 2008b).

image

Figure 1. Most abundant Eukaryotic Orthologous Groups (KOG) domains in Glomus intraradices compared with representative saprotrophic (black circle), pathogenic (black square) and mutualistic fungi (open circle). The heatmap is based on the relative z-score of KOG conserved domains. The top 55 KOG domains found in G. intraradices were selected. Colors indicate abundance: from dark green (highly abundant) to white (weakly abundant). An, Aspergillus nidulans; Bc, Botrytis cinerea; Bg, Blumeria graminis; Cn, Cryptococcus neoformans; Lb, Laccaria bicolor; Ml, Melampsora larici-populina; Mg, Magnaporthe grisea; Mc, Mucor circinelloides; Nc, Neurospora crassa; Pc, Phanerochaete chrysosporium; Ro, Rhizopus oryzae; Tm, Tuber melanosporum; and Um, Ustilago maydis.

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Sequence polymorphism of transcripts

There were a total of 43 872 SNPs in 3963 NRVTs (15.3% of the total number of NRVTs; 2.1 SNP/kb); 1102 NRVTs contained < 5 SNPs (Fig. 2a). When this SNP analysis was conducted on NRVT regions having a similarity with known protein coding sequences, 846 polymorphic NRVTs (8%; 1.3 SNP/kb) were identified among 10 823 homologs. Most polymorphic NRVTs contained < 5 SNPs (Fig. 2b). The NRVTs with known function having the highest SNPs were a 60S ribosomal protein L17 (15 SNPs) and a Ras-related Rab (11 SNPs). The presence of multiple SNPs in hundreds of NRVTs confirmed the within-isolate DNA sequence polymorphism that has repeatedly been reported for a number of genes in G. intraradices (Croll et al., 2008; Sanders & Croll, 2010). The transcriptome data show that this polymorphism is widespread in the genome, and that > 1 variant of each polymorphic gene is transcriptionally active. This implies that the sequence variation may be of functional importance.

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Figure 2. Single nucleotide polymorphisms (SNPs) in nonredundant virtual transcript (NRVT) sequences from Glomus intraradices. (a) SNPs were identified by the MiraSearchESTSNPs program by aligning the complete nucleotide sequences from NRVTs, including 5′ and 3′ untranslated regions (UTRs). (b) SNPs were calculated in the coding regions of NRVTs having a homolog documented in the Swiss-Prot database.

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Symbiosis induces alterations in the G. intraradices transcriptome

Little is known about the impact of symbiosis on the mycobiont transcriptome and molecular factors driving developmental pathways (Güimil et al., 2005; Gomez et al., 2009; Seddas et al., 2009; Kuznetsova et al., 2010; Sanders & Croll, 2010). Our transcript profiling thus provides the first large-scale discovery of fungal symbiosis-related genes. Of the 18 751 coding sequences detected by oligoarrays, 395 (2.1%) and 569 (3.0%) were up- and down-regulated (≥ five-fold; P-value ≤ 0.05), respectively, in IRM in comparison to germinated spores, whereas 202 (1.1%) and 74 (0.4%) were up- and down-regulated, respectively, in ERM in comparison to germinated spores. Highly up-regulated genes in IRM and ERM are shown in Tables 2, 3. In this study, mRNA concentrations were used as a proxy of protein concentrations. Gene expression is, however, a multistep process that involves the transcription, translation and turnover of messenger RNAs and proteins, and transcript levels are not always related to protein levels and enzyme activities (Schwanhäusser et al., 2011). It remains to be determined whether the observed changes in transcripts lead to alteration of the proteome, enzyme activities and/or metabolic fluxes. In addition, regulatory enzymes exhibiting allosteric properties are likely to be effective agents for fine tuning of metabolic fluxes in symbiotic tissues.

Table 2.   Most highly up-regulated Glomus intraradices transcripts (nonredundant virtual transcripts (NRVTs)) in the intraradical mycelium (IRM) compared with germinated spores identified using expression oligoarrays and ranked by decreasing fold changes
NRVT IDRatio IRM:sporeIRM expression levelSpore expression levelPutative function
  1. A value of 1 was given to transcripts not detected in germinated spores.

EXTB106676.b036 51638 4881No hit
Glomus_c711910 42710 4271Cytochrome P450
Glomus_c13017405775792No hit
Gi.12932_C1391939191No hit
EXTB106330.b0342834281No hit
Glomus_lrc986275969113No hit
EXTB28921.b0258125811No hit
Gi.304_C1199630 56715No hit
CCHU1751.g1148181996Centromere-related protein
Glomus_c14959139598917Hypothetical protein
Gi.167_C1133944 61833No hit
CEXTB101194.b0120613071No hit
Glomus_c1983187861317Hypothetical protein
Glomus_c595876146 42661No hit
Glomus_c38046676671No hit
Glomus_c87966386381No hit
EXTB112691.b05765761No hit
Glomus_c87475615611No hit
Glomus_c175854264261Hypothetical protein
Gi.7237_C142513 10731No hit
Glomus_c1026937831508No hit
EXTB121165.b0339376511No hit
EXTA118370.b033313534No hit
Glomus_c857932916 08849No hit
Glomus_c232730928389No hit
Glomus_c1296424625 666105Hypothetical protein
Gi.8222_C123618 62779Zinc-regulated transporter
Table 3.   All transcripts (nonredundant virtual transcripts (NRVTs)) with functional annotation that were up-regulated by at least 10-fold in Glomus intraradices
NRVT IDRatio IRM:sporesIRM expression levelPutative functionFunctional categories
  1. IRM compared with germinated spores based on oligoarray profiling (ratio ≥ 10; P-value < 0.05).

  2. ABC, ATP-binding cassette; BTB (for BR-C, ttk and bab) or POZ (for Pox virus and Zinc finger); IRM, intraradical mycelium; MFS, major facilitator family.

EXTB25580.b017.68653MFS monocarboxylic acid transporterTransport
Glomus_c2082613.725 099Amino acid transporterTransport
Glomus_c362027.421 270MFS nitrate transporterTransport
Glomus_c1081034.522 106MFS nitrate transporterTransport
EXTA118370.b0333.41353Iron permeaseTransport
Gi.8222_C1236.218 627ZIP (Zrt- and Irt-like) Zn transporterTransport
Glomus_c1388715.88222P-type ATPaseTransport
Gi.5720_C112.53337Cation transport-related proteinTransport
EXTA115701.b024.77920ABC transporterTransport
Glomus_c1434616.11921P-type ATPaseTransport
Glomus_c927277.13766Fatty acyl-CoA elongaseLipid metabolism
EXTB126208.b010.69156Peroxisomal 3-ketoacyl-CoA-thiolaseLipid metabolism
Glomus_c837140.29435Phosphatidylglycerol/phosphatidylinositol transfer proteinLipid metabolism
Gi.6806_C148.223 206LipaseLipid metabolism
Glomus_c1162515.426 531Acetyl-CoA acetyltransferaseLipid metabolism
Glomus_c1556310.010 357Adenine phosphoribosyl transferaseNucleotide metabolism
Gi.1390_C232.115 107Ribonucleoside-diphosphate reductaseNucleotide metabolism
Glomus_c207523.912 720Thymidylate synthaseNucleotide metabolism
Glomus_c1272926.410 113EndopolyphosphatasePhosphate metabolism
EXTB107807.b018.817 134EndopolyphosphatasePhosphate metabolism
Glomus_c449127.026 571Carbonic anhydraseCarbon metabolism
Gi.8293_C143.47083Cytochrome P450Secondary metabolism
Glomus_c711910426.810 427Cytochrome P450Secondary metabolism
EXTB18295.b027.720 682Multicopper oxidaseSecondary metabolism
Glomus_c190610.011 236Glutathione S-transferaseSecondary metabolism
Glomus_c114010.924 021Iron sulfur cluster assembly proteinProtein modification
Glomus_c1406321.07074Ubiquitin-conjugating enzymeProtein modification
Glomus_c2238658.613 312Protease, Ulp1 familyProtein modification
Glomus_c325313.63141Ubiquitin/ribosomal protein S27aProtein modification
Glomus_c896010.08892Menaquinone biosynthesis methyltransferaseCoenzyme metabolism
Glomus_c1042513.622 927Steroidogenic acute regulatory proteinSignal transduction
CACE6804.g111.32292Mitogen-activated protein kinase kinase kinaseSignal transduction
EXTB27526.b013.52738Tyrosine-like kinaseSignal transduction
Glomus_lrc440950.537 996Calcium-binding proteinSignal transduction
Glomus_lrc741233.150 044Calcium-binding proteinSignal transduction
Glomus_c939414.45290Chitin synthaseCell wall biogenesis
Glomus_c160140.850 339Cell wall anchor domain proteinCell wall biogenesis
CCHU1751.g11480.78199Centromere protein-related proteinCell cycle control
Glomus_c1081127.29906Kinetochore proteinCell cycle control
Glomus_c378017.920 774Targeting protein for Xklp2Cell cycle control
Glomus_c508050.316 455Kinesin-like proteinCytoskeleton
Glomus_c742535.14759DNA topoisomerase type IIChromatin structure
Glomus_lrc1741214.822 989Chromatin assembly factor IChromatin structure
Glomus_c50526.337 147Histone H3.1Chromatin structure
CCHU9624.1b12.5450DNA repair protein RAD51Replication, repair
Glomus_c919712.77425DNA replication licensing factorReplication, repair
Glomus_c1648473.52903Uracil-DNA glycosylaseReplication, repair
Glomus_c1362831.53433BTB/POZ domain-containing proteinTranscription
Glomus_c1858513.24751Zn finger-containing proteinTranscription
Glomus_c1096680.69500Zn finger-containing proteinTranscription
Glomus_c119811.225 711Yabby-like transcription factorTranscription
Glomus_lrc73911.311 898Translation initiation factor 3Translation

The majority of IRM- and ERM-induced genes were lineage-specific genes, as 80% of the most highly up-regulated transcripts coded for orphan proteins (Tables 2). Differentially expressed genes coding for proteins of known function were categorized into functional classes (Tables 3). Genes overrepresented in IRM vs germinated spores showed a GO enrichment (FDR-corrected  0.05) for several categories of biological processes associated with ion transport, lipid/steroid metabolism and DNA replication (data not shown). Out of 25 transcripts that appeared to be highly up-regulated in IRM, 17 were validated by RT-PCR (data not shown). While 13 out of 17 transcripts were detected in at least one other stage of the life cycle besides arbuscules, four were arbuscule-specific transcripts (Table S5). Three were orphan genes, while the fourth showed similarity to a multidrug resistance protein (ATP Binding Cassette (ABC) transporter).

As the oligoarray was constructed before the 454 ESTs from IRM and LMD arbuscule-containing cells were obtained, we also carried out a digital northern analysis based on the differential frequency of 454 reads (Audic & Claverie, 1997). This transcript profiling confirmed the above oligoarray expression patterns (data not shown). However, we detected a significant set of IRM transcripts coding for SSPs not detected in ERM and spores. These SSPs showed a striking up-regulation in IRM and arbuscule-containing cells (Table 4). The most highly up-regulated IRM orphan transcript ‘step3_c3163’ coded for an SSP of 280 amino acids of unknown function with similarity to proteins of several biotrophic basidiomycetes (e.g. L. bicolor and M. larici-populina). This transcript was only detected in mycorrhizal roots and arbuscules.

Table 4.   The transcripts coding for mycorrhizal-induced small secreted proteins (MiSSPs) showing up-regulation in Glomus intraradices intraradical mycelium (IRM) compared with germinated spores based on 454 read frequency
NRVT IDIRM (reads)Arbuscules (reads)Spores (reads)Putative functionSize (aa)# Cys
  1. These sequences have no probe on oligoarrays.

  2. aa, amino acids; # Cys, number of cysteine residues; NVRT, nonredundant virtual transcript.

step3_c31636240Hypothetical protein28012
remain_c237524160No hit1563
step3_c35871520No hit1490
remain_c45481240MD-2-related lipid recognition domain1734
step3_c283411190No hit619
remain_c23791170No hit1200
step3_c32821010No hit862
remain_c8131900Hypothetical protein1503
remain_c27797200No hit670
remain_c8897710No hit717
remain_c12045530No hit1224

Recent studies of plant–microbe interactions involving pathogenic and ectomycorrhizal fungi have shown that many lineage-specific orphan genes code for effector proteins playing key roles in host colonization and in planta accommodation by controlling the plant immune system (De Wit et al., 2009; Plett et al., 2011). The set of differentially expressed G. intraradices orphan genes included the effector protein SP7, which interacts with the pathogenesis-related transcription factor Ethylene Response Factor (ERF19) in the host nucleus (Kloppholz et al., 2011) (Table S4). Given the key results obtained for SP7, the role played by other mycorrhiza-up-regulated SSPs of G. intraradices should be elucidated, as well as the identity of plant-based signals that may control their expression within the root space.

Stealth colonization to evade host defenses

Several obligate biotrophic pathogens and ectomycorrhizal symbionts have a decreased repertoire of carbohydrate-acting enzymes involved in the degradation of plant cell wall (PCW) polysaccharides (Martin et al., 2008b, 2010; Baxter et al., 2010; Spanu et al., 2010; Duplessis et al., 2011). We identified 139 NRVTs encoding carbohydrate-active enzymes in the G. intraradices transcriptome (Table S6). They included enzymes that are involved in acquiring and converting carbohydrates and in maintaining fungal cell wall plasticity. Genes encoding glycosyl hydrolases (GHs) involved in degrading PCW lignocellulosic polymers were not found in the IRM predicted proteome. No genes encoding GH from families GH6 and GH7 (which include cellobiohydrolases and are involved in the attack of crystalline cellulose), polysaccharide lyases or proteins with cellulose-binding motif 1 (CBM1) were identified (Table S6). Enzymes that attack amorphous cellulose, hemicellulose, and pectin (e.g. β-glucosidases and cellobiose dehydrogenases of family GH3, GH10 xylanases, and GH28 pectinases) were absent. Genes encoding carbohydrate esterases and secreted feruloyl esterase which could hydrolyze cross-links in PCW were also not expressed. However, genes encoding GH5 endoglucanases (which act on mannan and/or cellulose) and a GH9 cellobiohydrolase were identified (Table S6). As observed in ectomycorrhizal symbionts (Martin et al., 2008b, 2010; Nagendran et al., 2009), the minimal set of PCW-degrading enzymes in the transcriptome of G. intraradices might be an evolutionary adaptation to avoid the release of polysaccharide fragments and their detection by the host immune system during the obligate biotrophic phase of the fungus. By contrast, a large set of genes encoding enzymes involved in chitin metabolism were expressed, including chitin synthases, chitin deacetylases, and chitinases (Table S6). They probably play a role in remodeling the fungal cell wall during growth and symbiosis. The abundance of transcripts coding for dolichyl-related mannosylation enzymes suggests an intense biosynthesis of cell wall mannans and mannoproteins.

Nutrient assimilation

We identified numerous transcripts coding for different predicted proteins associated with the uptake and assimilation of major soil nutrients, such as nitrate and Pi, and conversion of metabolites shuttled between partners (amino acids and carbohydrates) (Table S7). Although a few genes involved in nutrient transport and assimilation have previously been identified in G. intraradices and Glomus mosseae (Benedetto et al., 2005; Govindarajulu et al., 2005; Javot et al., 2007; Tian et al., 2010), there is no comprehensive molecular description of N and P assimilation pathways, despite the crucial importance of metabolite exchange in this symbiosis (Kiers et al., 2011; Smith & Smith, 2011). The striking induction of several genes coding for metal transporters suggests that metals, such as Zn, are important for plant colonization, and the expression pattern of genes coding for assimilative enzymes fully supports rapid uptake, translocation and transfer of metabolites, as discussed in the following sections.

Nitrogen metabolism  In the G.  intraradices-colonized M. truncatula roots, transcripts for transporters and enzymes involved in N uptake and assimilation showed high constitutive expression, supporting the contention that a high N turnover is taking place in the symbiosis (Gomez et al., 2009; Guether et al., 2009b). The up-regulation of transcripts for nitrate permease and nitrate reductase (Table S8), together with the higher expression of the gene coding for the ammonium transporter gene GintAMT2 (Table S8; Pérez-Tienda et al., 2011), might favor the accumulation of NH4+ for incorporation into amino acids and further translocation of N to the host cells. The IRM transcript profile is consistent with assimilation of NH4+ via the glutamine synthetase/glutamate synthase (GS/GOGAT) cycle. Transcripts encoding enzymes of arginine biosynthesis and degradation were highly expressed in spores, ERM and IRM (Table S8), indicating an intense cycling of N through the arginine pathway (Tian et al., 2010). The higher expression of genes coding for arginase, urease and urease accessory protein (UreG) in IRM might lead to a greater release of NH4+ able to feed the GS/GOGAT cycle and/or the passive efflux of ammonia to the interfacial apoplast and the uptake of NH4+ by the host ammonium transporter(s) (Govindarajulu et al., 2005; Gomez et al., 2009; Tian et al., 2010). High expression of amino acid transporter genes in ERM and IRM (Table S7) suggests that the mycobiont can taken up amino acids present in both soil and the interfacial apoplast.

Phosphate metabolism Glomus intraradices expressed a wide spectrum of secreted phosphatase transcripts, including those coding for the p-nitrophenylphosphatase Pho13p, acid phosphatase Pho3p, repressible alkaline phosphatase Pho8p, and magnesium-dependent phosphatase, able to act on various phosphate esters (Table S9). No phytase transcript was detected. Glomus intraradices has a combination of low-affinity and high-affinity transporter genes, including the high-affinity Pi transporter gene GintPT (equivalent to Pho84p from Saccharomyces cerevisiae), and genes encoding the low-affinity Pi transporter Pho91p and the Na+/Pi symporter Pho89p (Table S9). The transcripts coding for the interactor protein Pho88p which promotes maturation and trafficking of Pho84p in yeast have also been identified. Pi transporter genes are expressed in spores, ERM and IRM. The expression pattern of GintPT is in agreement with the results obtained on GmosPT in G. mosseae (Benedetto et al., 2005) and the observed expression of GmosPT in arbuscules (Balestrini et al., 2007; Gómez-Ariza et al., 2009). Although high net transfer of P from soil to the plant takes place via the mycobiont (Kiers et al., 2011; Smith & Smith, 2011), our findings suggest that the IRM may re-absorb some of the Pi released in the symbiotic apoplastic space. As shown by Kiers et al. (2011), the fungus might exert some control on the delivery of nutrients to its host plant, and reciprocal rewards stabilize cooperation in the mycorrhizal symbiosis.

Following Pi uptake, PolyP accumulates in G. intraradices hyphae and is stored in the vacuolar compartments, where it buffers cytoplasmic Pi concentrations. PolyP is translocated along hyphae toward the interfacial apoplast (Viereck et al., 2004; Javot et al., 2007; Hijikata et al., 2010). The rapid synthesis of PolyP is thus crucial for the maintenance of effective hyphal Pi uptake (Tani et al., 2009). Transcripts coding for the PolyP polymerase/Vacuolar Transporter Chaperone Complex Vtc4p protein involved in the synthesis and transfer of PolyP to the vacuole (Hothorn et al., 2009), and for its accessory proteins, such as Vtc1p, were expressed in G. intraradices (Table S9). Transcripts for vacuolar endopolyphosphatase Ppn1p and the exopolyphosphatase Ppx1p were also identified. The endopolyphosphatase transcript was strikingly up-regulated in IRM. Several components of the complex phosphate regulatory system (PHO regulon) found in S. cerevisiae and N. crassa were expressed in G. intraradices, including the ankyrin-repeat-containing NUC2-related protein (Pho81p), the cyclin-dependent protein kinase regulator Pho80p and the mitogen-activated serine/threonine Cdc2 (Cell Cycle Control 2) cyclin-dependent protein kinase Pho85p (Table S9), suggesting putative regulatory similarities.

Lipid metabolism  The profuse development of fungal membranes associated with arbuscule development in host cells dramatically increases the need for plasma membrane fatty acids and sterols. The oligoarray analysis identified transcripts in IRM coding for the subunits α and β of the fatty acid synthase complex, together with the acetyl-CoA carboxylase transcript (Table S10), confirming that the mycobiont does possess fatty acid synthetic capacities (Table S10). Similarly, mycorrhiza-induced genes predicted to be involved in fatty acid metabolism are up-regulated in M. truncatula (Gomez et al., 2009), suggesting a complementary regulation of fungal and plant lipid metabolism. In this host plant, the gene MtMSBP1, encoding a membrane steroid (progesterone)-binding protein, is also induced early by a diffusible AM fungal signal produced by G. intraradices branched hyphae (Kuhn et al., 2010). The high activity of enzymes involved in sterol and steroid metabolism in IRM, together with the AM fungal induction of MtMSBP1, might be related to the need to alter sterol metabolism (e.g. lanosterol) to allow plasma membrane invagination and intracellular accommodation of the fungal symbiont in the cortical cells.

An expanded inventory of conserved meiotic genes provides evidence for cryptic sex

The lack of an observed sexual stage in any member of the Glomeromycota led to the suggestion, which has been debated, that AM fungi were ancient asexuals. Results from Croll & Sanders (2009) strongly suggest that recombination occurred among some G. intraradices genotypes in the field, although the majority of populations examined so far have been clonal (Rosendahl, 2008). As Glomeromycota could represent one of the earliest diverging fungal lineages, their meiotic processes could represent an ancestral state. We surveyed the transcriptome of G. intraradices for a set of sex and meiotic genes conserved among eukaryotes (Malik et al., 2008) (Table S11) and identified several ‘meiosis-specific’ genes (HOP2 (Homologous-pairing protein 2) and MND1 (Meiotic nuclear division protein 1)) which are only known to function in meiosis in other eukaryotes (Malik et al., 2008). These genes are hypothesized to be present in organisms with sexual ancestry (Table S11). The homolog of a transcript coding for the key meiotic recombinase SPO11 (REC12) was not found, but has been identified in the genomic sequences of Glomus diaphanum (MUCL 43196), G. intraradices (DAOM 197198), Glomus clarum (DAOM 234281) and Glomus cerebriforme (DAOM 227022) (Halary et al., 2011). Transcripts coding for high-mobility group (HMG) domain-containing transcriptional factors with a significant similarity (55%) to the sexP and sexM genes from Phycomyces blakesleeanus (Idnurm et al., 2008) were also retrieved. These genes are master switches controlling mating type in fungi. Mechanisms controlling the G. intraradices sexual cycle need to be further examined within AM fungal populations as they are likely to allow the mixing of nuclei and subsequent recombination among different individuals of this fungus interacting in soil.

In summary, induced expression of genes coding for membrane transporters and SSPs during the symbiotic interaction and the lack of expression of hydrolytic enzymes acting on PCW polysaccharides are hallmarks of G. intraradices. These results extend conserved patterns of gene expression profiles observed in obligate biotrophic pathogens (Spanu et al., 2010; Kemen et al., 2011) and ectomycorrhizal symbionts (Plett & Martin, 2011) to the Glomeromycota lineage. By contrast, obligate biotrophy in G. intraradices is not associated with a striking reduction of metabolic complexity (e.g. lack of N and S assimilation pathways), as observed in many obligate biotrophic pathogens, so that the ability to interact with the soil environment with respect to nutrient uptake is maintained in the symbiotic fungus. Finally, we can hypothesize that biotrophy in AM fungi has evolved through a series of steps requiring effectors, such as the secreted SP7 (Kloppholz et al., 2011), coupled with a reduced inventory of PCW-hydrolyzing enzymes to suppress or attenuate host defense reactions, and weak selection forces to maintain certain biosynthetic pathways if products (e.g. thiamine and sucrose) can be directly obtained from the host. The present comprehensive repertoire of G. intraradices genes, the first for Glomeromycota, provides a basis for future research in environmental genomics and for accessing symbiosis-related functional features in other members of this unique phylum.

Acknowledgements

  1. Top of page
  2. Summary
  3. Introduction
  4. Materials and Methods
  5. Results and Discussion
  6. Acknowledgements
  7. References
  8. Supporting Information

E.T. is supported by a scholarship from the Région Lorraine and the European Commission ENERGYPOPLAR project (FP7-211917), and Y.L. by a scholarship from the Education Ministry of China. This work was supported by the Network of Excellence EVOLTREE (FP6-016322) and the US Department of Energy (DOE) – Oak Ridge National Laboratory Scientific Focus Area for Genomics Foundational Sciences (grant to F.M.). Ph.F. was supported by the German Research Foundation and the Ministries of Food, Agriculture, and Consumer Protection of the FRG and the Brandenburg and Thüringen States. P.B. received funding from the Regional Project Converging Technologies-BIOBIT, and N.F. and C.A.A. from the project AGL2009-08868 from the Spanish Ministry of Science and Education. Support for development of mycorrhizal M. truncatula root materials was provided by the US National Science Foundation (grant IOS-0842720 to M.J.H.). A portion of the writing of this manuscript was sponsored by the DOE Genomic Science Program (DE-AC05-00OR22725). EST sequencing was funded by INRA, Genoscope, New Mexico University, and Michigan State University. The genomic and Sanger EST sequencing was conducted by JGI (DE-AC02-05CH11231). We would like to thank Nicolas Corradi for helpful discussions on the meiotic genes, and three anonymous referees for their insightful comments and suggestions.

References

  1. Top of page
  2. Summary
  3. Introduction
  4. Materials and Methods
  5. Results and Discussion
  6. Acknowledgements
  7. References
  8. Supporting Information

Supporting Information

  1. Top of page
  2. Summary
  3. Introduction
  4. Materials and Methods
  5. Results and Discussion
  6. Acknowledgements
  7. References
  8. Supporting Information

Fig. S1 Flow chart describing the in silico filtering process of Glomus intraradices expressed sequence tags (ESTs).

Fig. S2 GC% distribution of Glomus intraradices raw and filtered expressed sequence tag (EST) sequences for each cDNA library.

Fig. S3 Rarefaction curves depicting the effect of Glomus intraradices read number (a) on the number of assembled nonredundant virtual transcripts (NRVTs) and (b) on the number of detected proteins in the Swiss-Prot database and Rhizopus oryzae gene repertoire.

Fig. S4 Similarity of Glomus intraradices nonredundant virtual transcripts (NRVTs) to gene coding sequences from other selected fungi.

Table S1 The number of assembled nonredundant virtual transcripts (NRVTs) was affected by the parameters used for assembling the Glomus intraradices expressed sequence tags (ESTs) using the MIRA assembler

Table S2 Genes missing in the Glomus intraradices transcriptome, and gene repertoires of Blumeria graminis (Spanu et  al., 2010) and other obligate biotrophic pathogens (Kemen et  al., 2011)

Table S3 Most highly up-regulated Glomus intraradices transcripts in the extraradical mycelium (ERM) vs germinated spores identified using expression oligoarrays and ranked by decreasing fold changes

Table S4 All transcripts with functional annotations that were up-regulated by at least 10-fold in Glomus intraradices extraradical mycelium (ERM) compared with germinated spores based on oligoarray profiling (ratio ≥ 10; P-value < 0.05)

Table S5 Expression profiles, as obtained by semiquantitative RT-PCR, of genes showing up-regulation in Glomus intraradices intraradical mycelium (IRM) compared with extraradical mycelium (ERM) in oligoarray profiling

Table S6 Expression of nonredundant virtual transcripts (NRVTs) coding for carbohydrate-active enzymes (Cantarel et  al., 2009) identified in the Glomus intraradices transcriptome in germinated spores, extraradical mycelium (ERM) and intraradical mycelium (IRM)

Table S7 Expression of nonredundant virtual transcripts (NRVTs) coding for membrane transporters identified in the Glomus intraradices transcriptome in germinated spores, extraradical mycelium (ERM) and intraradical mycelium (IRM)

Table S8 Expression of nonredundant virtual transcripts (NRVTs) coding for transporters and enzymes involved in nitrogen metabolism in the Glomus intraradices transcriptome

Table S9 Expression of nonredundant virtual transcripts (NRVTs) coding for transporters and enzymes involved in phosphate metabolism in the Glomus intraradices transcriptome

Table S10 Expression of nonredundant virtual transcripts (NRVTs) coding for lipid metabolism enzymes in the Glomus intraradices transcriptome

Table S11 Expression levels and regulation ratio of transcripts related to meiosis in the Glomus intraradices transcriptome

Methods S1 Construction of the cDNA libraries.

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