Unveiling lipid chemodiversity in root exudates: A comprehensive characterizaton of the exudate metabo-lipidome in Tall Wheatgrass
Couvillion, S. P.; Yang, I.; Eder, J.; Bell, S.; Hofmockel, K.
Show abstract
The rhizosphere, where plant roots meet soil, is a hub of biogeochemical activity with ecosystem impacts on carbon stocks. Root derived carbon has been found to contribute more to soil carbon stocks than aboveground litter. Nonetheless, the molecular chemodiversity of root exudates remains poorly understood due to limited characterization and annotation. Here our goal was to discover the molecular chemodiversity of metabolites and lipids in root exudates to advance our understanding of plant root inputs belowground. We worked with mature, field-grown tall wheatgrass (Thinopyrum ponticum) and optimized exudate collection protocols to enable the capture of non-polar lipids in addition to polar and semi-polar metabolites. Rates of carbon input via hydrophobic exudates were approximately double that of aqueous exudates and carbon/nitrogen ratios were markedly higher in hydrophobic compared to aqueous exudates, emphasizing the importance of lipids, due to their high carbon content. To maximize molecular coverage of exudate chemodiversity, we used liquid chromatography coupled tandem mass-spectrometry for paired untargeted metabolomics and lipidomics or metabo-lipidomics. We substantially increased the characterization of exudate chemodiversity by employing both tandem mass spectral library searching and deep learning-based chemical class assignment. Notably, in this unprecedented characterization of intact lipids in root exudates, we discovered a diverse variety of lipids, including substantial levels of triacylglycerols ([~]19 g/g fresh root per min), fatty acyls, sphingolipids, sterol lipids, and glycerophospholipids. Comparison of the root exudate and tissue lipidomes revealed minimum glycerophospholipids in exudates, suggesting the exudate protocol did not extract lipids from root cell membranes.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Inter-laboratory comparison of plant volatile analyses in the light of intra-specific chemodiversity 93%
- An untargeted metabolomics strategy to measure differences in metabolite uptake and excretion by mammalian cell lines 92%
- Meta-analysis of targeted metabolomics data from heterogeneous biological samples provides insights into metabolite dynamics 92%
Similar papers in this journal
- Untargeted lipidomics of non-small cell lung carcinoma shows differentially abundant lipid classes in cancer vs non-cancer tissue 94%
- Using Community Science to Reveal the Global Chemogeography of River Metabolomes 92%
- A Chalcone Synthase-Like Bacterial Protein Catalyzes Heterocyclic C-Ring Cleavage of Naringenin to Alter Bioactivity Against Nuclear Receptors in Colonic Epithelial Cells 92%
Similar papers in this journal
- Multi-omics analysis of xylem sap uncovers dynamic modulation of poplar defenses by ammonium and nitrate 94%
- Untargeted metabolomic analyses reveal the diversity and plasticity of the specialized metabolome in seeds of different Camelina sativa genotypes 94%
- In vivo homopropargylglycine incorporation enables nascent protein tagging, isolation and characterisation from Arabidopsis thaliana 94%
Similar papers in this journal
- Optimized LC-MS method for simultaneous polyamine profiling and ADC/ODC activity quantification and evidence that ADCs are indispensable for flower development in tomato 93%
- Epitranscriptome changes triggered by ammonium nutrition regulate the proteome response of maritime pine roots 93%
- Evidences for a nutritional role of iodine in plants 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.