Effects of humic substances and indole-3-acetic acid on Arabidopsis sugar and amino acid metabolic profile
Autor: | Giovanni Battista Conselvan, Ornella Francioso, Paolo Carletti, Cristina Peggion, Andrew Merchant, David Fuentes |
---|---|
Přispěvatelé: | Giovanni Battista Conselvan, David Fuentes, Andrew Merchant, Cristina Peggion, Ornella Francioso, Paolo Carletti |
Rok vydání: | 2018 |
Předmět: |
0106 biological sciences
Hydrolyzed protein Metabolite Humic substances Soil Science Plant Science 01 natural sciences chemistry.chemical_compound Metabolomics Food science Sugar 1H NMR Auxin-like activity Biostimulant FT-IR chemistry.chemical_classification food and beverages Plant physiology 04 agricultural and veterinary sciences Carbohydrate Amino acid 1HNMR chemistry 040103 agronomy & agriculture 0401 agriculture forestry and fisheries Indole-3-acetic acid 010606 plant biology & botany |
Zdroj: | Plant and Soil. 426:17-32 |
ISSN: | 1573-5036 0032-079X |
DOI: | 10.1007/s11104-018-3608-7 |
Popis: | Background and aim. Humic substances (HS) are known to influence plant physiological processes, enhancing crop yield, plant growth and nutrient uptake. The present study sought to gain a better understanding of the specific effects of HS application on the abundance of metabolites in plant tissues, using mass spectrometry analyses. Methods. Arabidopsis thaliana plants, grown in hydroponic conditions, were treated for 8 h with indole-3-acetic acid (IAA), HS from International Humic Substances Society (IHSS) and HS from earthworm faeces (EF), respectively. Humic substances structural characteristics were analyzed by 1HNMRan FT-IR spectroscopies. Root and leaf free amino acids, sugar alcohols and carbohydrate contents, and leaf amino acids from protein hydrolysis were identified and quantified by gas chromatographymass spectrometry (GC/MS), and liquid chromatographymass spectrometry (LC/MS). Canonical discriminant analysis (CDA) was used to evaluate the influence of the treatments on the studied parameters. Results. EF treatment had the highest influence on metabolite profiles compared to the control, IAA and IHSS. CDA analysis highlighted a clear distinction between EF and IHSS plant physiological responses, depending on the different chemical and structural properties of the HS. IAA-treated plants showed no significant difference from the control. Conclusions A better understanding of the specific effects of different HS, also related to their chemical characteristics, might serve as a basis for the identification of marker compounds for HS bioactivity.. |
Databáze: | OpenAIRE |
Externí odkaz: | |
Nepřihlášeným uživatelům se plný text nezobrazuje | K zobrazení výsledku je třeba se přihlásit. |