José L. Lavín

Genome, transcriptome, and secretome analysis of wood decay fungus Postia placenta supports unique mechanisms of lignocellulose conversion

Brown-rot fungi such as Postia placenta are common inhabitants of forest ecosystems and are also largely responsible for the destructive decay of wooden structures. Rapid depolymerization of cellulose is a distinguishing feature of brown-rot, but the biochemical mechanisms and underlying genetics are poorly understood. Systematic examination of the P. placenta genome, transcriptome, and secretome revealed unique extracellular enzyme systems, including an unusual repertoire of extracellular glycoside hydrolases. Genes encoding exocellobiohydrolases and cellulose-binding domains, typical of cellulolytic microbes, are absent in this efficient cellulose-degrading fungus. When P. placenta was grown in medium containing cellulose as sole carbon source, transcripts corresponding to many hemicellulases and to a single putative β-1–4 endoglucanase were expressed at high levels relative to glucose-grown cultures. These transcript profiles were confirmed by direct identification of peptides by liquid chromatography-tandem mass spectrometry (LC-MS/MS). Also up-regulated during growth on cellulose medium were putative iron reductases, quinone reductase, and structurally divergent oxidases potentially involved in extracellular generation of Fe(II) and H2O2. These observations are consistent with a biodegradative role for Fenton chemistry in which Fe(II) and H2O2 react to form hydroxyl radicals, highly reactive oxidants capable of depolymerizing cellulose. The P. placenta genome resources provide unparalleled opportunities for investigating such unusual mechanisms of cellulose conversion. More broadly, the genome offers insight into the diversification of lignocellulose degrading mechanisms in fungi. Comparisons with the closely related white-rot fungus Phanerochaete chrysosporium support an evolutionary shift from white-rot to brown-rot during which the capacity for efficient depolymerization of lignin was lost.

The Plant Cell Wall–Decomposing Machinery Underlies the Functional Diversity of Forest Fungi

Comparative genomic analysis of “dry rot” fungus shows both convergent evolution and divergence among fungal decomposers. Brown rot decay removes cellulose and hemicellulose from wood—residual lignin contributing up to 30% of forest soil carbon—and is derived from an ancestral white rot saprotrophy in which both lignin and cellulose are decomposed. Comparative and functional genomics of the “dry rot” fungus Serpula lacrymans, derived from forest ancestors, demonstrated that the evolution of both ectomycorrhizal biotrophy and brown rot saprotrophy were accompanied by reductions and losses in specific protein families, suggesting adaptation to an intercellular interaction with plant tissue. Transcriptome and proteome analysis also identified differences in wood decomposition in S. lacrymans relative to the brown rot Postia placenta. Furthermore, fungal nutritional mode diversification suggests that the boreal forest biome originated via genetic coevolution of above- and below-ground biota.

Comparative genomics of Ceriporiopsis subvermispora and Phanerochaete chrysosporium provide insight into selective ligninolysis

Efficient lignin depolymerization is unique to the wood decay basidiomycetes, collectively referred to as white rot fungi. Phanerochaete chrysosporium simultaneously degrades lignin and cellulose, whereas the closely related species, Ceriporiopsis subvermispora, also depolymerizes lignin but may do so with relatively little cellulose degradation. To investigate the basis for selective ligninolysis, we conducted comparative genome analysis of C. subvermispora and P. chrysosporium. Genes encoding manganese peroxidase numbered 13 and five in C. subvermispora and P. chrysosporium, respectively. In addition, the C. subvermispora genome contains at least seven genes predicted to encode laccases, whereas the P. chrysosporium genome contains none. We also observed expansion of the number of C. subvermispora desaturase-encoding genes putatively involved in lipid metabolism. Microarray-based transcriptome analysis showed substantial up-regulation of several desaturase and MnP genes in wood-containing medium. MS identified MnP proteins in C. subvermispora culture filtrates, but none in P. chrysosporium cultures. These results support the importance of MnP and a lignin degradation mechanism whereby cleavage of the dominant nonphenolic structures is mediated by lipid peroxidation products. Two C. subvermispora genes were predicted to encode peroxidases structurally similar to P. chrysosporium lignin peroxidase and, following heterologous expression in Escherichia coli, the enzymes were shown to oxidize high redox potential substrates, but not Mn2+. Apart from oxidative lignin degradation, we also examined cellulolytic and hemicellulolytic systems in both fungi. In summary, the C. subvermispora genetic inventory and expression patterns exhibit increased oxidoreductase potential and diminished cellulolytic capability relative to P. chrysosporium.

Comparative genomic analysis of two-component regulatory proteins in Pseudomonas syringae

BackgroundPseudomonas syringae is a widespread bacterial plant pathogen, and strains of P. syringae may be assigned to different pathovars based on host specificity among different plant species. The genomes of P. syringae pv. syringae (Psy) B728a, pv. tomato (Pto) DC3000 and pv. phaseolicola (Pph) 1448A have been recently sequenced providing a major resource for comparative genomic analysis. A mechanism commonly found in bacteria for signal transduction is the two-component system (TCS), which typically consists of a sensor histidine kinase (HK) and a response regulator (RR). P. syringae requires a complex array of TCS proteins to cope with diverse plant hosts, host responses, and environmental conditions.ResultsBased on the genomic data, pattern searches with Hidden Markov Model (HMM) profiles have been used to identify putative HKs and RRs. The genomes of Psy B728a, Pto DC3000 and Pph 1448A were found to contain a large number of genes encoding TCS proteins, and a core of complete TCS proteins were shared between these genomes: 30 putative TCS clusters, 11 orphan HKs, 33 orphan RRs, and 16 hybrid HKs. A close analysis of the distribution of genes encoding TCS proteins revealed important differences in TCS proteins among the three P. syringae pathovars.ConclusionIn this article we present a thorough analysis of the identification and distribution of TCS proteins among the sequenced genomes of P. syringae. We have identified differences in TCS proteins among the three P. syringae pathovars that may contribute to their diverse host ranges and association with plant hosts. The identification and analysis of the repertoire of TCS proteins in the genomes of P. syringae pathovars constitute a basis for future functional genomic studies of the signal transduction pathways in this important bacterial phytopathogen.

SECRETOOL: integrated secretome analysis tool for fungi

The secretome (full set of secreted proteins) has been studied in multiple fungal genomes to elucidate the potential role of those protein collections involved in a number of metabolic processes from host infection to wood degradation. Being aminoacid composition a key factor to recognize secretory proteins, SECRETOOL comprises a group of web tools that enable secretome predictions out of aminoacid sequence files, up to complete fungal proteomes, in one step. SECRETOOL is freely available on the web at http://genomics.cicbiogune.es/SECRETOOL/Secretool.php.

Comparative genomics of the oxidative phosphorylation system in fungi.

In this study, we have carried out an in silico analysis of the available mitochondrial and nuclear genomes of fungi in order to identify the oxidative phosphorylation (OXPHOS) proteome, the complete set of proteins that perform the OXPHOS in mitochondria. The presence of OXPHOS proteins has been investigated in 27 nuclear and 52 mitochondrial genomes of fungi. Comparative genomics reveals a high conservation of the OXPHOS system within each fungal phyla, and notable differences between the OXPHOS proteomes of the fungal phyla. The most striking differences concerned Complexes I and V. The absence of Complex I has been previously described in various species of Ascomycota and Microsporidia, and the NDUFB4 and NURM accessory subunits of Complex I appear to be specific of fungi belonging to the subphylum Pezizomycotina. In addition, the Complex V essential subunit ATP14 appears to be specific of two subphyla of Ascomycota: the Saccharomycotina and Pezizomycotina.

Genomics and transcriptomics characterization of genes expressed during postharvest at 4°C by the edible basidiomycete Pleurotus ostreatus

Pleurotus ostreatus is an industrially cultivated basidiomycete with nutritional and environmental applications. Its genome, which was sequenced by the Joint Genome Institute, has become a model for lignin degradation and for fungal genomics and transcriptomics studies. The complete P. ostreatus genome contains 35 Mbp organized in 11 chromosomes, and two different haploid genomes have been individually sequenced. In this work, genomics and transcriptomics approaches were employed in the study of P. ostreatus under different physiological conditions. Specifically, we analyzed a collection of expressed sequence tags (EST) obtained from cut fruit bodies that had been stored at 4°C for 7 days (postharvest conditions). Studies of the 253 expressed clones that had been automatically and manually annotated provided a detailed picture of the life characteristics of the self-sustained fruit bodies. The results suggested a complex metabolism in which autophagy, RNA metabolism, and protein and carbohydrate turnover are increased. Genes involved in environment sensing and morphogenesis were expressed under these conditions. The data improve our understanding of the decay process in postharvest mushrooms and highlight the use of high-throughput techniques to construct models of living organisms subjected to different environmental conditions.

Genetic networks for the functional study of genomes

The high-throughput analytical techniques used in genome, proteome and metabolome studies produce large sets of data that must be studied using appropriate tools. The construction of networks linking different genetic elements and/or functions makes it possible to obtain an integrated view of the cell molecular biology and will eventually help us to predict complex phenotypes from molecular data. Genetic networks can be constructed using different types of data such as genes involved in the control of complex phenotypic traits, genes controlling global gene expression, genetic elements involved in the same metabolic process, gene products interacting physically between them. The connections linking these genetic elements in the network reflect the genetic, physical and/or functional interaction among them. All these networks share common properties and reflect the different layers of the cells complexity. In this review, we will study how different types of networks can be constructed, how the different networks complement each other and how this information can be used to obtain an integrated picture of the cell.

Comparative and transcriptional analysis of the predicted secretome in the lignocellulose-degrading basidiomycete fungus Pleurotus ostreatus.

Fungi interact with their environment by secreting proteins to obtain nutrients, elicit responses and modify their surroundings. Because the set of proteins secreted by a fungus is related to its lifestyle, it should be possible to use it as a tool to predict fungal lifestyle. To test this hypothesis, we bioinformatically identified 538 and 554 secretable proteins in the monokaryotic strains PC9 and PC15 of the white rot basidiomycete Pleurotus ostreatus. Functional annotation revealed unknown functions (37.2%), glycosyl hydrolases (26.5%) and redox enzymes (11.5%) as the main groups in the two strains. When these results were combined with RNA-seq analyses, we found that the relative importance of each group was different in different strains and culture conditions and the relevance of the unknown function proteins was enhanced. Only a few genes were actively expressed in a given culture condition in expanded multigene families, suggesting that family expansi on could increase adaptive opportunities rather than activity under a specific culture condition. Finally, we used the set of P. ostreatus secreted proteins as a query to search their counterparts in other fungal genomes and found that the secretome profiles cluster the tested basidiomycetes into lifestyle rather than phylogenetic groups.

Genomic Analysis of Two-Component Signal Transduction Proteins in Basidiomycetes

Two-component system (TCS) proteins are components of complex signal transduction pathways in fungi, and play essential roles in the regulation of several cellular functions and responses. Species of basidiomycetes have a marked variation in their specific physiological traits, morphological complexity and lifestyles. In this study, we have used the available complete genomes of basidiomycetes to carry out a thorough identification and an extensive comparative analysis of the TCS proteins in this fungal phylum. In comparison with ascomycetes, basidiomycetes exhibit an intermediate number of TCS proteins. Several TCS proteins are highly conserved among all the basidiomycetes, and other TCS proteins appear to be specific to particular species of basidiomycetes. Moreover, some species appear to have developed a unique histidine kinase group with unusual domain architecture, the Dual-histidine kinases. The presence of differential sets of TCS proteins between basidiomycete species might reflect their adaptation to diverse environmental niches.