Sébastien Duplessis

Genome-wide identification of NBS resistance genes in Populus trichocarpa

As the largest class of disease resistance R genes, the genes encoding nucleotide binding site and leucine-rich repeat proteins (“NBS-LRR genes”) play a critical role in defending plants from a multitude of pathogens and pests. The diversity of NBS-LRR genes was examined in the Populus trichocarpa draft genome sequence. The NBS class of genes in this perennial tree is large and diverse, comprised of ∼400 genes, at least twice the complement of Arabidopsis. The NBS family can be divided into multiple subfamilies with distinct domain organizations. It includes 119 Coiled-Coil-NBS-LRR genes, 64 TIR-NBS-LRR genes, 34 BED-finger-NBS-LRR, and both truncated and unusual NBS- and NBS-LRR-containing genes. The transcripts of only 34 NBS-LRR genes were detected in rust-infected and non-infected leaves using a whole-genome oligoarray. None showed an altered expression two days post inoculation.

Insight into trade???off between wood decay and parasitism from the genome of a fungal forest pathogen

Parasitism and saprotrophic wood decay are two fungal strategies fundamental for succession and nutrient cycling in forest ecosystems. An opportunity to assess the trade-off between these strategies is provided by the forest pathogen and wood decayer Heterobasidion annosum sensu lato. We report the annotated genome sequence and transcript profiling, as well as the quantitative trait loci mapping, of one member of the species complex: H. irregulare. Quantitative trait loci critical for pathogenicity, and rich in transposable elements, orphan and secreted genes, were identified. A wide range of cellulose-degrading enzymes are expressed during wood decay. By contrast, pathogenic interaction between H. irregulare and pine engages fewer carbohydrate-active enzymes, but involves an increase in pectinolytic enzymes, transcription modules for oxidative stress and secondary metabolite production. Our results show a trade-off in terms of constrained carbohydrate decomposition and membrane transport capacity during interaction with living hosts. Our findings establish that saprotrophic wood decay and necrotrophic parasitism involve two distinct, yet overlapping, processes.

Mining gene expression data with pattern structures in formal concept analysis

This paper addresses the important problem of efficiently mining numerical data with formal concept analysis (FCA). Classically, the only way to apply FCA is to binarize the data, thanks to a so-called scaling procedure. This may either involve loss of information, or produce large and dense binary data known as hard to process. In the context of gene expression data analysis, we propose and compare two FCA-based methods for mining numerical data and we show that they are equivalent. The first one relies on a particular scaling, encoding all possible intervals of attribute values, and uses standard FCA techniques. The second one relies on pattern structures without a priori transformation, and is shown to be more computationally efficient and to provide more readable results. Experiments with real-world gene expression data are discussed and give a practical basis for the comparison and evaluation of the methods.

Mitogen-Activated Protein Kinase Signaling in Plant-Interacting Fungi: Distinct Messages from Conserved Messengers

Mitogen-activated protein kinases (MAPKs) are evolutionarily conserved proteins that function as key signal transduction components in fungi, plants, and mammals. During interaction between phytopathogenic fungi and plants, fungal MAPKs help to promote mechanical and/or enzymatic penetration of host tissues, while plant MAPKs are required for activation of plant immunity. However, new insights suggest that MAPK cascades in both organisms do not operate independently but that they mutually contribute to a highly interconnected molecular dialogue between the plant and the fungus. As a result, some pathogenesis-related processes controlled by fungal MAPKs lead to the activation of plant signaling, including the recruitment of plant MAPK cascades. Conversely, plant MAPKs promote defense mechanisms that threaten the survival of fungal cells, leading to a stress response mediated in part by fungal MAPK cascades. In this review, we make use of the genomic data available following completion of whole-genome sequencing projects to analyze the structure of MAPK protein families in 24 fungal taxa, including both plant pathogens and mycorrhizal symbionts. Based on conserved patterns of sequence diversification, we also propose the adoption of a unified fungal MAPK nomenclature derived from that established for the model species Saccharomyces cerevisiae. Finally, we summarize current knowledge of the functions of MAPK cascades in phytopathogenic fungi and highlight the central role played by MAPK signaling during the molecular dialogue between plants and invading fungal pathogens.

454-pyrosequencing of Coffea arabica leaves infected by the rust fungus Hemileia vastatrix reveals in planta-expressed pathogen-secreted proteins and plant functions in a late compatible plant-rust interaction

Coffee (Coffea arabica L.), one of the key export and cash crops in tropical and subtropical countries, suffers severe losses from the rust fungus Hemileia vastatrix. The transcriptome of H. vastatrix was analysed during a compatible interaction with coffee to obtain an exhaustive repertoire of the genes expressed during infection and to identify potential effector genes. Large-scale sequencing (454-GS-FLEX Titanium) of mixed coffee and rust cDNAs obtained from 21-day rust-infected leaves generated 352 146 sequences which assembled into 22 774 contigs. In the absence of any reference genomic sequences for Coffea or Hemileia, specific trinucleotide frequencies within expressed sequence tags (ESTs) and blast homology against a set of dicots and basidiomycete genomes were used to distinguish pathogen from plant sequences. About 30% (6763) of the contigs were assigned to H. vastatrix and 61% (13 951) to C. arabica. The majority (60%) of the rust sequences did not show homology to any genomic database, indicating that they were potential novel fungal genes. In silico analyses of the 6763 H. vastatrix contigs predicted 382 secreted proteins and identified homologues of the flax rust haustorially expressed secreted proteins (HESPs) and bean rust transferred protein 1 (RTP1). These rust candidate effectors showed conserved amino-acid domains and conserved patterns of cysteine positions suggestive of conserved functions during infection of host plants. Quantitative reverse transcription-polymerase chain reaction profiling of selected rust genes revealed dynamic expression patterns during the time course of infection of coffee leaves. This study provides the first valuable genomic resource for the agriculturally important plant pathogen H. vastatrix and the first comprehensive C. arabica EST dataset.

Poplar and Pathogen Interactions: Insights from Populus Genome-Wide Analyses of Resistance and Defense Gene Families and Gene Expression Profiling

Our understanding of the molecular basis of plant-pathogen interactions is derived mostly from studies of model annual plant species, and until recently, few addressed disease resistance and defense responses in long-lived species such as trees. The release of the Populus genome sequence has permitted extensive genome-wide surveys of gene families and comparative analyses of other sequenced plant genomes. These have revealed striking features for gene families that play key roles in the plant defense response. For example, the NBS-LRR resistance ( R )-gene family is expanded compared with other plant genomes, including R -gene subfamilies not previously reported in plants. Some of these genes are clustered on the subtelomeric part of a chromosome that shows segregation distortion in genetic studies. Similar expansion is observed for other genes playing key roles in plant defense such as pathogenesis-related proteins. Among the many pathogens that infect poplar trees, Melampsora spp. fungi, which cause rust diseases in plants, are responsible for considerable damage in poplar plantations. This biotrophic pathogen has attracted recent attention and here we describe molecular insights into the Populusdefense response against rust infection. Transcript profiles derived from compatible (susceptible) and incompatible (specific host -resistance) Populus-Melampsora interactions were leveraged to describe molecular changes occurring during defense responses against rust fungi. This highlighted responses that are similar to defense responses of annual plant species, such as up-regulation of transcripts encoding pathogenesis-related proteins. The molecular evidence gathered for the poplar-rust pathosystem indicates a temporal delay in the activation of defense responses between susceptibility and partial or full resistance that is consistent with the signal conversion model described for Arabidopsis. The genome of Melampsora larici-populina, which infects several species of Populus, was recently sequenced and provides a model pathosystem for forest pathology and offers unprecedented opportunities to understand how tree species cope with disease. Ultimately, understanding the molecular basis of Populus rust resistance will greatly improve our understanding of other major diseases of poplar.

RNA silencing in the model mycorrhizal fungus Laccaria bicolor: gene knock-down of nitrate reductase results in inhibition of symbiosis with Populus

Mycorrhizal symbioses are a rule in nature and may have been crucial in plant and fungal evolution. Ectomycorrhizas are mutualistic interactions between tree roots and soil fungi typical of temperate and boreal forests. The functional analysis of genes involved in developmental and metabolic processes, such as N nutrition, is important to understand the ontogeny of this mutualistic symbiosis. RNA silencing was accomplished in the model mycorrhizal fungus Laccaria bicolor by Agrobacterium-mediated gene transfer. Promoter-directed expression of double-stranded RNA with a partial coding sequence of the Laccaria nitrate reductase gene resulted in fungal transgenic strains strongly affected in growth with nitrate as N source in a medium with high concentration of an utilizable C source. The phenotype correlated with a clear reduction of the target gene mRNA level and this effect was not caused by homologous recombination of the T-DNA in the nitrate reductase locus. Transformation with the hairpin sequence resulted in specific CpG methylation of both the silenced transgene and the nitrate reductase encoding gene. The methylation in the target gene was restricted to the silencing trigger sequence and did not represent the entire genomic DNA in the dikaryon suggesting that the epigenetic changes accompanying RNA silencing affected only the transformed nucleus. Mycorrhization experiments of Populus with strongly silenced fungal strains revealed a systematic inhibition of symbiosis under mycorrhization conditions (C starvation) and nitrate as N source compared with the wild type. This inhibition of mycorrhization was reversed by an organic N source only utilizable by the fungus. These observations would indicate that the plant may be capable of monitoring and detecting the nutritional status of a potential symbiont avoiding the establishment of an unsatisfactory interaction. A probable control mechanism conducted by the plant would inhibit symbiosis when the metabolic profile of the fungal partner is not proper and mutual benefit from the symbiotic structure cannot be assured. Our results are the first report showing that the alteration of expression of a fungal gene impairs mycorrhization. Moreover, this work is the first demonstration of RNA silencing in mycorrhizal fungi and clearly shows that gene knock-down is a powerful tool for further functional genomic studies in mycorrhizal research.

Genome-wide analysis of eukaryote thaumatin-like proteins (TLPs) with an emphasis on poplar

BackgroundPlant inducible immunity includes the accumulation of a set of defense proteins during infection called pathogenesis-related (PR) proteins, which are grouped into families termed PR-1 to PR-17. The PR-5 family is composed of thaumatin-like proteins (TLPs), which are responsive to biotic and abiotic stress and are widely studied in plants. TLPs were also recently discovered in fungi and animals. In the poplar genome, TLPs are over-represented compared with annual species and their transcripts strongly accumulate during stress conditions.ResultsOur analysis of the poplar TLP family suggests that the expansion of this gene family was followed by diversification, as differences in expression patterns and predicted properties correlate with phylogeny. In particular, we identified a clade of poplar TLPs that cluster to a single 350 kb locus of chromosome I and that are up-regulated by poplar leaf rust infection. A wider phylogenetic analysis of eukaryote TLPs - including plant, animal and fungi sequences - shows that TLP gene content and diversity increased markedly during land plant evolution. Mapping the reported functions of characterized TLPs to the eukaryote phylogenetic tree showed that antifungal or glycan-lytic properties are widespread across eukaryote phylogeny, suggesting that these properties are shared by most TLPs and are likely associated with the presence of a conserved acidic cleft in their 3D structure. Also, we established an exhaustive catalog of TLPs with atypical architectures such as small-TLPs, TLP-kinases and small-TLP-kinases, which have potentially developed alternative functions (such as putative receptor kinases for pathogen sensing and signaling).ConclusionOur study, based on the most recent plant genome sequences, provides evidence for TLP gene family diversification during land plant evolution. We have shown that the diverse functions described for TLPs are not restricted to specific clades but seem to be universal among eukaryotes, with some exceptions likely attributable to atypical protein structures. In the perennial plant model Populus, we unravelled the TLPs likely involved in leaf rust resistance, which will provide the foundation for further functional investigations.

RNA-Seq of Early-Infected Poplar Leaves by the Rust Pathogen Melampsora larici-populina Uncovers PtSultr3;5, a Fungal-Induced Host Sulfate Transporter

Biotroph pathogens establish intimate interactions with their hosts that are conditioned by the successful secretion of effectors in infected tissues and subsequent manipulation of host physiology. The identification of early-expressed pathogen effectors and early-modulated host functions is currently a major goal to understand the molecular basis of biotrophy. Here, we report the 454-pyrosequencing transcriptome analysis of early stages of poplar leaf colonization by the rust fungus Melampsora larici-populina. Among the 841,301 reads considered for analysis, 616,879 and 649 were successfully mapped to Populus trichocarpa and M. larici-populina genome sequences, respectively. From a methodological aspect, these results indicate that this single approach is not appropriate to saturate poplar transcriptome and to follow transcript accumulation of the pathogen. We identified 19 pathogen transcripts encoding early-expressed small-secreted proteins representing candidate effectors of interest for forthcoming studies. Poplar RNA-Seq data were validated by oligoarrays and quantitatively analysed, which revealed a highly stable transcriptome with a single transcript encoding a sulfate transporter (herein named PtSultr3;5, POPTR_0006s16150) showing a dramatic increase upon colonization by either virulent or avirulent M. larici-populina strains. Perspectives connecting host sulfate transport and biotrophic lifestyle are discussed.

Two FCA-Based Methods for Mining Gene Expression Data

Gene expression data are numerical and describe the level of expression of genes in different situations, thus featuring behaviour of the genes. Two methods based on FCA (Formal Concept Analysis) are considered for clustering gene expression data. The first one is based on interordinal scaling and can be realized using standard FCA algorithms. The second method is based on pattern structures and needs adaptations of standard algorithms to computing with interval algebra. The two methods are described in details and discussed. The second method is shown to be more computationally efficient and providing more readable results. Experiments with gene expression data are discussed.