Dataset Information

Primary metabolome in roots and leaves of non-mycorrhizal and mycorrhizal seedlings by GC-QTOF-MS

ABSTRACT: This dataset compared mycorrhizal-associated alterations in the plant primary metabolome across multiple plant-mycorrhizal fungus combinations. Specifically, we inoculated a phylogenetically diverse set of temperate tree species with either arbuscular mycorrhizal or ectomycorrhizal fungi (the two major mycorrhizal lifestyles). We then assessed the primary metabolome in mycorrhizal and non-mycorrhizal roots and the corresponding leaves.

INSTRUMENT(S): 7250 Q-TOF GC/MS (Agilent instrument model)

ORGANISM(S): Pinus Taeda (ncbitaxon:3352) Juniperus Virginiana (ncbitaxon:39584) Quercus Macrocarpa (ncbitaxon:519047) Liriodendron Tulipifera (ncbitaxon:3415)

SUBMITTER: Nishanth Tharayil

PROVIDER: MSV000090616 | MassIVE | Sun Oct 30 09:01:00 GMT 2022

REPOSITORIES: MassIVE

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:<p>Plants produce thousands of compounds, collectively called the metabolome, which mediate interactions with other organisms. The metabolome of an individual plant may change according to the number and nature of these interactions. We tested the hypothesis that tree diversity level affects the metabolome of four subtropical tree species in a biodiversity ecosystem-functioning experiment, BEF-China. We postulated that the chemical diversity of leaves, roots and root exudates increases with tree diversity. We expected the strength of this diversity effect to differ among leaf, root and root exudates samples. Considering their role in plant competition, we expected to find the strongest effects in root exudates. In an ecometabolomics approach, roots, root exudates and leaves of four tree species (Cinnamomum camphora, Cyclobalanopsis glauca, Daphniphyllum oldhamii, Schima superba) were sampled from selected plots in BEF-China. Samples were extracted and analysed using Liquid Chromatography-Time of Flight-Mass Spectrometry. The exudate metabolomes were normalized over their non-purgeable organic carbon level. Multivariate analyses were applied to identify the effect of both neighbouring (local) trees and plot diversity on tree metabolomes. The species and sample specific metabolites were assigned to major compound classes using the ClassyFire tool, whereas m/z features related to diversity effects were annotated manually. Individual tree species showed distinct leaf, root and root exudate metabolomes. The main compound class in leaves were the flavonoids, whereas carboxylic acids, prenol lipids and specific alkaloids were most prominent in root exudates and roots. Overall plot diversity had a stronger effect on metabolome profiles than the diversity of local, directly neighbouring trees. Leaf metabolomes responded more often to tree diversity level than exudates, whereas root metabolomes varied the least. We found not overall correlation between metabolite richness or diversity and tree diversity. Synthesis: Classification of metabolites supported initial ecological interpretation of differences among species and organs. Particularly the metabolomes of leaves and root exudates respond to differences in tree diversity. These responses were neither linear nor uniform and individual metabolites showed different dynamics. More controlled interaction experiments are needed to dissect the causes and consequences of the observed shifts in plant metabolomes.</p>

Dataset Information

Primary metabolome in roots and leaves of non-mycorrhizal and mycorrhizal seedlings by GC-QTOF-MS

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets