The use of metabolomic quantitative trait locus mapping and osmotic adjustment traits for the improvement of crop yields under environmental stresses
M Abdelrahman, DJ Burritt, LSP Tran - Seminars in cell & developmental …, 2018 - Elsevier
The sustainable production of food to feed an increasing world population is a major
challenge for plant scientists, especially due to the unpredictable and dynamic nature of …
challenge for plant scientists, especially due to the unpredictable and dynamic nature of …
FT‐ICR‐MS‐based metabolomics: A deep dive into plant metabolism
Metabolomics involves the identification and quantification of metabolites to unravel the
chemical footprints behind cellular regulatory processes and to decipher metabolic …
chemical footprints behind cellular regulatory processes and to decipher metabolic …
Integrating metabolomics and targeted gene expression to uncover potential biomarkers of fungal/oomycetes-associated disease susceptibility in grapevine
M Maia, AEN Ferreira, R Nascimento, F Monteiro… - Scientific Reports, 2020 - nature.com
Vitis vinifera, one of the most cultivated fruit crops, is susceptible to several diseases
particularly caused by fungus and oomycete pathogens. In contrast, other Vitis species …
particularly caused by fungus and oomycete pathogens. In contrast, other Vitis species …
Satureja montana L. Essential Oils: Chemical Profiles/Phytochemical Screening, Antimicrobial Activity and O/W NanoEmulsion Formulations
A Maccelli, L Vitanza, A Imbriano, C Fraschetti, A Filippi… - Pharmaceutics, 2019 - mdpi.com
Chemical fingerprints of four different Satureja montana L. essential oils (SEOs) were
assayed by an untargeted metabolomics approach based on Fourier-transform ion cyclotron …
assayed by an untargeted metabolomics approach based on Fourier-transform ion cyclotron …
6.12 mass spectrometry for natural product discovery
6.12. 5.1. 2 APCI 278 6.12. 5.1. 3 DESI 279 6.12. 5.1. 4 MALDI 279 6.12. 5.1. 5 SALDI 280
6.12. 5.2 Mass Analyzers 280 6.12. 5.2. 1 Quadrupole 280 6.12. 5.2. 2 Ion trap 280 6.12. 5.2 …
6.12. 5.2 Mass Analyzers 280 6.12. 5.2. 1 Quadrupole 280 6.12. 5.2. 2 Ion trap 280 6.12. 5.2 …
Metabolomics-based mechanistic insights into revealing the adverse effects of pesticides on plants: an interactive review
In plant biology, metabolomics is often used to quantitatively assess small molecules,
metabolites, and their intermediates in plants. Metabolomics has frequently been applied to …
metabolites, and their intermediates in plants. Metabolomics has frequently been applied to …
Metabolomics and transcriptomics to decipher molecular mechanisms underlying ectomycorrhizal root colonization of an oak tree
Mycorrhizas are known to have a positive impact on plant growth and ability to resist major
biotic and abiotic stresses. However, the metabolic alterations underlying mycorrhizal …
biotic and abiotic stresses. However, the metabolic alterations underlying mycorrhizal …
Vitis vinifera 'Pinot noir'leaves as a source of bioactive nutraceutical compounds
M Maia, AEN Ferreira, G Laureano, AP Marques… - Food & function, 2019 - pubs.rsc.org
Agricultural by-products are often hidden sources of healthy plant ingredients. The
investigation of the nutritional values of these by-products is essential towards sustainable …
investigation of the nutritional values of these by-products is essential towards sustainable …
[HTML][HTML] Volatile linalool activates grapevine resistance against downy mildew with changes in the leaf metabolome
Volatile organic compounds (VOCs) are produced by plants in response to biotic and abiotic
stimuli. In grapevine, volatile terpenoids are triggered by downy mildew infection (caused by …
stimuli. In grapevine, volatile terpenoids are triggered by downy mildew infection (caused by …
Grapevine and wine metabolomics-based guidelines for FAIR data and metadata management
In the era of big and omics data, good organization, management, and description of
experimental data are crucial for achieving high-quality datasets. This, in turn, is essential for …
experimental data are crucial for achieving high-quality datasets. This, in turn, is essential for …