Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

GNPS - Single-polyp metabolomics reveals biochemical structuring of the coral holobiont at multiple scales

ABSTRACT: Here, we developed and verified a method to detect high-quality metabolomics data from an individual coral polyp and applied this method to study the spatial patterning of biochemicals across multiple spatial (~1 mm - ~100 m) and organizational scales (polyp to population). The data show a strong colony signature, a weak signature of specific branches within colonies, and a strong signature at the polyp-level related to the distance from the base of a branch that was primarily driven by sulfur-containing lipids associated with the coral host. This work yields insight into the spatial structuring of biochemicals in the coral holobiont, which is critical for the design, analysis, and interpretation of studies on coral reef biochemistry.

INSTRUMENT(S): Q Exactive HF

ORGANISM(S): Montipora Capitata (ncbitaxon:46704)

SUBMITTER: Robert Quinn

PROVIDER: MSV000090806 | GNPS | Tue Nov 29 13:12:00 GMT 2022

REPOSITORIES: GNPS

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Single-polyp metabolomics reveals biochemical structuring of the coral holobiont at multiple scales

Project description:Here, we developed and verified a method to detect high-quality metabolomics data from an individual coral polyp and applied this method to study the spatial patterning of biochemicals across multiple spatial (~1 mm - ~100 m) and organizational scales (polyp to population). The data show a strong colony signature, a weak signature of specific branches within colonies, and a strong signature at the polyp-level related to the distance from the base of a branch that was primarily driven by sulfur-containing lipids associated with the coral host. This work yields insight into the spatial structuring of biochemicals in the coral holobiont, which is critical for the design, analysis, and interpretation of studies on coral reef biochemistry.

2022-11-29 | MSV000090806 | MassIVE

Coral metagenome

Project description:Characterization of healthy coral microbiome across multiple spatial scales

| PRJNA435628 | ENA

Sci-Space E14 Mouse Embryo Data

Project description:Spatial patterns of gene expression span many scales, and are shaped by both local (e.g. cell-cell interactions) and global (e.g. tissue, organ) context. However, most in situ methods for profiling gene expression either average local contexts or are restricted to limited fields of view. Here we introduce sci-Space, a scale-flexible method that retains single cell resolution while resolving spatial heterogeneity in gene expression at larger scales. As a proof-of-concept, we apply sci-Space to the developing mouse embryo (E14), capturing the approximate spatial coordinates of profiled cells from whole embryo serial sections.

2021-07-01 | GSE166692 | GEO

microbial functional genes are fundamentally different from bacterial phylogenetic distributions in arctic soils

Project description:Understanding biological diversity and distribution patterns at multiple spatial scales is a central issue in ecology. Here, we investigated the biogeographical patterns of functional genes in soil microbes from 24 arctic heath sites using GeoChip-based metagenomics and principal coordinates of neighbour matrices (PCNM)-based analysis. Functional gene richness varied considerably among sites, while the proportions of each major functional gene category were evenly distributed. Functional gene composition varied significantly at most medium and broad spatial scales, and the PCNM analyses indicated that 14-20% of the variation in total and major functional gene categories could be attributed primarily to relatively broad-scale spatial effects that were consistent with broad-scale variation in soil pH and total nitrogen. The combination of variance partitioning and multi-scales analysis indicated that spatial distance effects contributed 12% to variation in functional gene composition，whereas environmental factors contributed only 3%. This relatively strong influence of spatial as compared to environmental variation in determining functional gene distributions contrasts sharply with typical microbial phylotype/species-based biogeographical patterns in the Arctic and elsewhere. Our results suggest that the distributions of soil functional genes cannot be predicted from phylogenetic distributions because spatial factors associated with historical contingencies are relatively important determinants of their biogeography.

2014-12-10 | GSE63927 | GEO

Glioblastoma disrupts cortical network activity at multiple spatial and temporal scales

Project description:Glioblastoma disrupts cortical network activity at multiple spatial and temporal scales

| PRJNA1099564 | ENA

Transcriptomic changes in Cinachyrella cf cavernosa as a response to spatial competition

Project description:Demosponge Cinachyrella cf cavernosa is an inter-tidal sponge. It is found in competition with soft coral Zoanthus sansibaricus and macroalgae Dictyota ciliatum. The effect of these two spatial competitors on the gene expression profile of the sponge is checked. Sponges are collected from three distinct situations, 1. sponge without competitors, 2. sponge in competition with algae, and 3. sponge in competition with soft coral. Each group has three biological replicates.

2023-04-25 | E-MTAB-9052 | biostudies-arrayexpress

Multiple organisms

Project description:Simul-seq Method

| PRJNA326442 | ENA

Project description:Biogeographic inferences across spatial and evolutionary scales

| PRJNA914787 | ENA

Project description:Hydraulic controls of Nitrogen uptake across spatial scales

| PRJNA1079807 | ENA

The spatial network of skeletal proteins in a stony coral

Project description:Coral skeletons are materials composed of inorganic aragonitic fibers, proteins, sugars and lipids that are highly organized to form a solid body upon which the animals live. The skeleton contains more than 30 proteins, all of which are encoded in the animal genome and secreted during the biomineralization process. How these proteins are spatially related is unknown. Using a combination of chemical crosslinking and high-resolution tandem mass spectrometry, we identify, for the first time. the spatial interactions of the skeletal proteins within a stony coral. Our subsequent network analysis revealed several coral acid-rich proteins (CARPs) are invariably associated with carbonic anhydrase(s), alpha-collagen, cadherins and other calcium binding proteins. These interactions clearly show that protein-protein interactions in coral skeletons are highly coordinated and are key to understanding the formation and persistence of coral skeletons through time

2021-01-25 | PXD020076 | Pride

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