Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

GNPS - GC-MS metabolomics of different wood fungi species

ABSTRACT: GC-MS metabolomics analysis of secondary metabolites present in the different fungi species.

INSTRUMENT(S): GCMS-QP2020NX

ORGANISM(S): Ganoderma Stipitatum (ncbitaxon:1368614) Programme Epimiltina Ganoderma Ecuadoriense (ncbitaxon:1837094) Ganoderma Resinaceum (ncbitaxon:34465) Trametes Meyenii (ncbitaxon:526243) Ascomycota Sp. (ncbitaxon:1709939) Bjerkandera Sp. (ncbitaxon:1897508) Annulohypoxylon Stygium (ncbitaxon:326628) Trametes Menziesii (ncbitaxon:1140397) Ganoderma Parvulum (ncbitaxon:1227451) Trametes Villosa (ncbitaxon:47662) Trametes Versicolor (ncbitaxon:5325) Phlebiopsis Sp. (ncbitaxon:1968779)

SUBMITTER: CIPRIANI AVILA EVA ISABEL

PROVIDER: MSV000097443 | GNPS | Tue Mar 25 09:28:00 GMT 2025

REPOSITORIES: GNPS

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

GC-MS metabolomics of different wood fungi species

Project description:GC-MS metabolomics analysis of secondary metabolites present in the different fungi species.

2025-03-25 | MSV000097443 | MassIVE

Metabolic regulation of filamentous fungi is tailored for secondary secondary metabolite production

Project description:We investigated the metabolism of six secondary metabolite producing fungi of the Penicillium genus, during nutrient depletion in the stationary phase of batch fermentations and assessed conserved metabolic responses across species using genome-wide transcriptional profiling. Coexpression analysis revealed that expression of secondary metabolite biosynthetic genes correlates with expression of genes associated with pathways responsible for generation of precursor metabolites for secondary metabolism. Our results highlight the main metabolic routes for precursor supply of the secondary metabolism during nutrient depletion, and suggests that regulation of fungal metabolism is tailored to meet the demands for secondary metabolite production. These findings can aid in identifying wild type species, which are optimized for production of specific secondary metabolites, and therefore can be utilized as high yielding cell factories.

2017-11-17 | GSE106983 | GEO

Enzymatic machinery of wood-inhabiting fungi that degrade temperate tree species

Project description:Deadwood plays a crucial role in forest ecosystems, but we have limited information about the specific fungal taxa and extracellular lignocellulolytic enzymes that are actively involved in the decomposition process in situ. To investigate this, we studied the fungal metaproteome of twelve deadwood tree species in a replicated, eight-year experiment. Key fungi observed included genera of white-rot fungi (Basidiomycota, e.g. Armillaria, Hypholoma, Mycena, Ischnoderma, Resinicium), brown-rot fungi (Basidiomycota, e.g. Fomitopsis, Antrodia), diverse Ascomycota including xylariacous soft-rot fungi (e.g. Xylaria, Annulohypoxylon, Nemania) and various wood-associated endophytes and saprotrophs (Ascocoryne, Trichoderma, Talaromyces). These fungi used a whole range of extracellular lignocellulolytic enzymes, such as peroxidases, peroxide-producing enzymes, laccases, cellulases, glucosidases, hemicellulases (xylanases) and lytic polysaccharide monooxygenases (LPMOs). Both the fungi and enzymes were tree-specific, with specialists and generalists being distinguished by network analysis. The extracellular enzymatic system was highly redundant, with many enzyme classes of different origins present simultaneously in all decaying logs. Strong correlations were found between peroxide-producing enzymes (oxidases) and peroxidases as well as LPMOs, and between ligninolytic, cellulolytic and hemicellulolytic enzymes. The overall protein abundance of lignocellulolytic enzymes was reduced by up to -30% in gymnosperm logs compared to angiosperm logs, and gymnosperms lacked ascomycetous enzymes, which may have contributed to the lower decomposition of gymnosperm wood. In summary, we have obtained a comprehensive and detailed insight into the enzymatic machinery of wood-inhabiting fungi in several temperate forest tree species, which can help to improve our understanding of the complex ecological processes in forest ecosystems.

2024-04-22 | PXD041962 | Pride

Ectomycorrhizal fungi associated with Betulaceae species

Project description:Ectomycorrhizal fungi associated with Betulaceae species

| PRJEB24687 | ENA

GC-MS of 4 species of plant used in Amazonia medicine recipes

Project description:GC-MS of 4 species of plant (A. rigidum, C. guianensis, M. laevis and P. sagotianum) used in Amazonia medicine recipes.

2023-12-08 | MSV000093614 | MassIVE

Datasets of chemical compounds in three different species of aquilaria using GC-MS coupled with GC-FID analysis.

Project description:Aquilaria oil, specifically agarwood oil, is esteemed for its unique fragrance and potential therapeutic qualities, primarily attributed to the presence of significant chemical compounds. These compounds play a vital role in shaping the quality and attributes of Aquilaria oil. The distinct aroma, characterized by intricate, woody, and multifaceted notes, originates directly from specific sesquiterpenes, with notable contributors like agarospirol defining this aromatic profile. The richness and complexity of the oil's scent are closely linked to the concentration and variety of noteworthy compounds within it. Oils containing a diverse range of sesquiterpenes are often considered superior, providing a more refined olfactory experience. This dataset presents a statistical analysis of the chemical compounds present in agarwood oil obtained through the hydrodistillation method from three distinct Aquilaria (A.) species: A. crassna, A. malaccensis, and A. subintegra. The analysis of these chemical compounds utilized Gas Chromatography-Mass Spectrometer (GC-MS) coupled with Gas Chromatography - Flame Ionization Detector (GC-FID). This study's data is crucial for highlighting compounds that contribute to the significance of agarwood oil as a valuable and versatile natural resource. This significance is emphasized by the oil's diverse applications and distinctive chemical composition.

| S-EPMC10900106 | biostudies-literature

Endophytic diversity of bacteria and fungi in Sinningia species

Project description:Comparative study of the endophytic diversity of bacteria and fungi present in the leaf blades of three Sinningia species

| PRJEB43321 | ENA

pre-GC and GC B cell scRNAseq

Project description:pre-GC and GC B cell scRNAseq

| PRJNA973113 | ENA

Comparative Metabolite Fingerprinting of Four Different Cinnamon Species Analyzed via UPLC-MS and GC-MS and Chemometric Tools.

Project description:The present study aimed to assess metabolites heterogeneity among four major Cinnamomum species, including true cinnamon (Cinnamomum verum) and less explored species (C. cassia, C. iners, and C. tamala). UPLC-MS led to the annotation of 74 secondary metabolites belonging to different classes, including phenolic acids, tannins, flavonoids, and lignans. A new proanthocyanidin was identified for the first time in C. tamala, along with several glycosylated flavonoid and dicarboxylic fatty acids reported for the first time in cinnamon. Multivariate data analyses revealed, for cinnamates, an abundance in C. verum versus procyandins, dihydro-coumaroylglycosides, and coumarin in C. cassia. A total of 51 primary metabolites were detected using GC-MS analysis encompassing different classes, viz. sugars, fatty acids, and sugar alcohols, with true cinnamon from Malaysia suggested as a good sugar source for diabetic patients. Glycerol in C. tamala, erythritol in C. iners, and glucose and fructose in C. verum from Malaysia were major metabolites contributing to the discrimination among species.

| S-EPMC9104325 | biostudies-literature

Diversity of cytosine methylation across the fungi tree of life

Project description:Cytosine methylation is a conserved base modification, but explanations for its interspecific variation remain elusive. Only through taxonomic sampling of disparate groups can unifying explanations for interspecific variation be thoroughly tested. Here we leverage phylogenetic resolution of cytosine DNA methyltransferases (DNA MTases) and genome evolution to better understand widespread interspecific variation across 40 diverse fungal species. DNA MTase genotypes have diversified from the ancestral DNMT1+DNMT5 genotype through numerous loss events, and duplications, whereas, DIM-2 and RID-1 are more recently derived in fungi. Methylation is typically enriched at intergenic regions, which includes repeats and transposons. Unlike certain Insecta and Angiosperm species, Fungi lack canonical gene body methylation. Some fungi species possess large clusters of contiguous methylation encompassing many genes, repetitive DNA and transposons, and are not ancient in origin. Broadly, methylation is partially explained by DNA MTase genotype and repetitive DNA content. Basidiomycota on average have the highest level of methylation, and repeat content, compared to other phyla. However, exceptions exist across Fungi. Other traits, including DNA repair mechanisms, might contribute to interspecific methylation variation within Fungi. Our results show mechanism and genome evolution are unifying explanations for interspecific methylation variation across Fungi.

2019-02-18 | GSE112636 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data