Ontology highlight
ABSTRACT:
PROVIDER: PRJNA510708 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR8352920.fastq.gz | Fastqsanger.gz | |||
| SRR8352930.fastq.gz | Fastqsanger.gz | |||
| SRR8352940.fastq.gz | Fastqsanger.gz | |||
| SRR8352950.fastq.gz | Fastqsanger.gz | |||
| SRR8352960.fastq.gz | Fastqsanger.gz |
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Project description:Wood-decomposition in terrestrial ecosystems is a very important process with huge ecologic consequences. This decomposition process is a combination of biological respiration, leaching and fragmentation, mainly triggered by organismic activities. In order to gain a deeper insight into these microbial communities and their role in deadwood decay, we used metaproteomics. Metaproteomics is an important tool and offers the ability to characterize the protein complement of environmental microbiota at a given point in time. In this dataset, we provide data of an exemplary beech wood log and applied different extraction methods to provide the proteome profile of beech dead wood and their corresponding fungal-bacterial community.
2020-05-27 | PXD016801 | Pride
Project description:The rate, timing, and mode of species dispersal is recognized as a key driver of the structure and function of communities of macroorganisms, and may be one ecological process that determines the diversity of microbiomes. Many previous studies have quantified the modes and mechanisms of bacterial motility using monocultures of a few model bacterial species. But most microbes live in multispecies microbial communities, where direct interactions between microbes may inhibit or facilitate dispersal through a number of physical (e.g., hydrodynamic) and biological (e.g., chemotaxis) mechanisms, which remain largely unexplored. Using cheese rinds as a model microbiome, we demonstrate that physical networks created by filamentous fungi can impact the extent of small-scale bacterial dispersal and can shape the composition of microbiomes. From the cheese rind of Saint Nectaire, we serendipitously observed the bacterium Serratia proteamaculans actively spreads on networks formed by the fungus Mucor. By experimentally recreating these pairwise interactions in the lab, we show that Serratia spreads on actively growing and previously established fungal networks. The extent of symbiotic dispersal is dependent on the fungal network: diffuse and fast-growing Mucor networks provide the greatest dispersal facilitation of the Serratia species, while dense and slow-growing Penicillium networks provide limited dispersal facilitation. Fungal-mediated dispersal occurs in closely related Serratia species isolated from other environments, suggesting that this bacterial-fungal interaction is widespread in nature. Both RNA-seq and transposon mutagenesis point to specific molecular mechanisms that play key roles in this bacterial-fungal interaction, including chitin utilization and flagellin biosynthesis. By manipulating the presence and type of fungal networks in multispecies communities, we provide the first evidence that fungal networks shape the composition of bacterial communities, with Mucor networks shifting experimental bacterial communities to complete dominance by motile Proteobacteria. Collectively, our work demonstrates that these strong biophysical interactions between bacterial and fungi can have community-level consequences and may be operating in many other microbiomes.
2017-08-02 | GSE85095 | GEO
Project description:The fungus Polyporus brumalis is a wood decay fungus previously evidenced as efficient lignin degrader with high potential for plant biomass pre-treatment before conversion into bio-energy. Here we used an RNASeq approach that highlighted the active transcription of an unparalleled number of lignin active peroxidases and H2O2 generating enzymes during growth on wheat straw. These enzymes, together with metabolic processes related to detoxification appear as key determinants of the fungal adaption to lignin degradation.
2018-12-21 | GSE112011 | GEO
Project description:Decomposition of lignin-rich wood by fungi drives nutrient recycling in woodland ecosystems. Fluctuating abiotic conditions are known to promote the functioning of ecological communities and ecosystems. In the context of wood decay, fluctuating temperature increases decomposition rates. Metabolomics, in tandem with other ‘omics tools, can highlight the metabolic processes affected by experimental treatments, even in the absence of genome sequences and annotations. Globally, natural wood decay communities are dominated by the phylum Basidiomycota. We examined the metabolic responses of Mucidula mucida, a dominant constituent of pioneer communities in beech branches in British woodlands, and Exidia glandulosa, a stress-selected constituent of the same communities, in response to constant and diurnally cycling temperature. We applied untargeted metabolomics and proteomics to beech wood blocks, colonised by M. mucida or E. glandulosa and exposed to either diurnally cycling (mean 15 ± 10°C) or constant (15°C) temperature, in a fully factorial design. Metabolites and proteins linked to lignin breakdown, the citric acid cycle, pentose phosphate pathway, carbohydrate metabolism, fatty acid metabolism and protein biosynthesis and turnover were under-enriched in fluctuating, compared to stable temperatures, in the generalist M. mucida. Conversely E. glandulosa showed little differential response to the experimental treatments. By demonstrating temperature dependant metabolic signatures related to nutrient acquisition in a generalist wood decay fungus, we provide new insights into how abiotic conditions can affect community-mediated decomposition and carbon turnover in forests. We show that mechanisms underpinning important biogeochemical processes can be highlighted using untargeted metabolomics and proteomics in the absence of well-annotated genomes.
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Project description:Wood-degrading fungi play a critical role in global carbon cycling, and their varied mechanisms for deconstruction offer pathways for industrial bioconversion. In this study, we used comparative genomics to isolate upregulation patterns among fungi with brown rot (carbohydrate-selective) or white rot (lignin-degrading) nutritional modes. Specifically, we used whole-transcriptome profiling to compare early, middle, and late decay stages on wood wafers, matching differentially-expressed gene (DEG) patterns with fungal growth and enzyme activities. This approach highlighted 34 genes uniquely upregulated in early brown rot stages, with notable candidates involved in generating reactive oxygen species (ROS) as a pretreatment mechanism during brown rot. This approach further isolated 18 genes in late brown rot stages that may be adapted to handle oxidatively-reacted lignocellulose components. By summing gene expression levels in functional classes, we also identified a broad and reliable distinction in glycoside hydrolase (GH) versus lignocellulose oxidative (LOX) transcript counts that may reflect the energy investment burden of lignin-degrading machinery among white rot fungi.
2018-01-05 | GSE108189 | GEO
Project description:The decomposition of large woody material is an important process in forest carbon cycling and nutrient release. Cord-forming saprotrophic basidiomycete fungi create non-resource limited mycelial networks between decomposing branches, logs and tree stumps on the forest floor where colonisation of new resource is often associated with the replacement of incumbent decay communities. Cord-forming species often dominate competition hierarchies in controlled paired antagonism experiments and have been shown to translocate resource to support colonisation and produce inhibitory metabolites. To date, antagonism experiments have mostly placed competing fungi in direct contact, while in nature cord-forming saprobes encounter colonised wood as mycelia in a network. Here we used soil-based microcosms that allowed foraging cord-forming Hypholoma fasciculare to encounter a wood block colonised by Trametes versicolor and conducted transcriptomic and proteomic analysis of the interaction. Cellular processes and metabolic responses to the competitive interaction were identified, where protein turnover featured strongly for both species. H. fasciculare demonstrated an exploitative profile with increased transcription of enzymes that targeted carbohydrate polymers of the substrate and in RNA and ribosome processing. T. versicolor showed a shift in signalling, energy generation and amino acid metabolism. Putative genes involved in secondary metabolite production were identified in both species. This study highlights the importance of ecologically-relevant experimental design when considering complex processes such as community development during wood decomposition
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Project description:The goals of this study are to compare NGS-derived transcriptome profiling (RNA-seq) from grapevine wood infected by a fungal pathogen in the presence of a root biological control agent. One of the goals was to obtain molecular data about the fungus pathogen (Phaeomoniella chlamydospora) during grapevine wood infection. Grapevine pathogen-infected wood mRNA profiles of 2-month-old plantlets (14 days post infection) were generated by deep sequencing, in triplicate, using Illumina Hiseq2500. The sequence reads that passed quality filters were analyzed by TopHat followed by Cufflinks. qRTaPCR validation was performed using SYBR Green assays. Using an optimized data analysis workflow, we mapped sequence reads to the grapevine genome (build IGGP 12x) and identified pathogen transcripts. RNAseq analyses, using a ribosomal RNA depletion technology for library preparation, provided identification of genes expressed by P. chlamydospora during infection: as for genes related to effector biosynthesis enzymes, carbohydrate-active enzymes and transcription regulators involved in known regulation pathways in fungi. Insights about P. oligandrum modulation of grapevine infection by this pathogen were also found. Our study represents the first detailed analysis of grapevine wood infection by a fungal pathogen generated by RNA-seq technology. The optimized data analysis workflows reported here should provide a framework for comparative investigations of expression profiles. Our results show that NGS offers a comprehensive evaluation of mRNA content within grapevine wood tissue. We conclude that RNA-seq based transcriptome characterization would permit the dissection of complex biologic interactions.
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