» Articles » PMID: 30658398

Analytical Methods for Detection of Plant Metabolomes Changes in Response to Biotic and Abiotic Stresses

Overview
Journal Int J Mol Sci
Publisher MDPI
Date 2019 Jan 20
PMID 30658398
Citations 36
Authors
Affiliations
Soon will be listed here.
Abstract

Abiotic and biotic stresses are the main reasons of substantial crop yield losses worldwide. Research devoted to reveal mechanisms of plant reactions during their interactions with the environment are conducted on the level of genome, transcriptome, proteome, and metabolome. Data obtained during these studies would permit to define biochemical and physiological mechanisms of plant resistance or susceptibility to affecting factors/stresses. Metabolomics based on mass spectrometric techniques is an important part of research conducted in the direction of breeding new varieties of crop plants tolerant to the affecting stresses and possessing good agronomical features. Studies of this kind are carried out on model, crop and resurrection plants. Metabolites profiling yields large sets of data and due to this fact numerous advanced statistical and bioinformatic methods permitting to obtain qualitative and quantitative evaluation of the results have been developed. Moreover, advanced integration of metabolomics data with these obtained on other omics levels: genome, transcriptome and proteome should be carried out. Such a holistic approach would bring us closer to understanding biochemical and physiological processes of the cell and whole plant interacting with the environment and further apply these observations in successful breeding of stress tolerant or resistant crop plants.

Citing Articles

Non-targeted metabolomics reveals fatty acid and associated pathways driving resistance to whitefly and tomato leafminer in wild tomato accessions.

Kumaraswamy S, Yogendra K, Sotelo-Cardona P, Shivanna A, Hemalatha S, Mohan M Sci Rep. 2025; 15(1):3754.

PMID: 39885264 PMC: 11782529. DOI: 10.1038/s41598-025-86191-9.


Gene metabolite relationships revealed metabolic adaptations of rice salt tolerance.

Akbarzadeh Lelekami M, Pahlevani M, Zaynali Nezhad K, Mahdavi Mashaki K Sci Rep. 2025; 15(1):2404.

PMID: 39827270 PMC: 11742878. DOI: 10.1038/s41598-025-86604-9.


Stilbene-rich extract increases the cytotoxic effects of paclitaxel in hormone receptor-positive and triple-negative breast cancer spheroids.

Mohammadhosseinpour S, Weaver A, Hernandez-Madrigal S, Gajurel G, Sharma A, Medina-Bolivar F Phytomed Plus. 2024; 4(3).

PMID: 39574482 PMC: 11580422. DOI: 10.1016/j.phyplu.2024.100578.


Omics approaches in understanding the benefits of plant-microbe interactions.

Jain A, Sarsaiya S, Singh R, Gong Q, Wu Q, Shi J Front Microbiol. 2024; 15:1391059.

PMID: 38860224 PMC: 11163067. DOI: 10.3389/fmicb.2024.1391059.


Influence of Silver Nanoparticles on the Metabolites of Two Transgenic Soybean Varieties: An NMR-Based Metabolomics Approach.

Quintela A, Santos M, de Lima R, Mayer J, Marcheafave G, Arruda M J Agric Food Chem. 2024; 72(21):12281-12294.

PMID: 38747520 PMC: 11140748. DOI: 10.1021/acs.jafc.4c00756.


References
1.
Smith C, Want E, OMaille G, Abagyan R, Siuzdak G . XCMS: processing mass spectrometry data for metabolite profiling using nonlinear peak alignment, matching, and identification. Anal Chem. 2006; 78(3):779-87. DOI: 10.1021/ac051437y. View

2.
Escandon M, Meijon M, Valledor L, Pascual J, Pinto G, Canal M . Metabolome Integrated Analysis of High-Temperature Response in . Front Plant Sci. 2018; 9:485. PMC: 5914196. DOI: 10.3389/fpls.2018.00485. View

3.
Scheltema R, Jankevics A, Jansen R, Swertz M, Breitling R . PeakML/mzMatch: a file format, Java library, R library, and tool-chain for mass spectrometry data analysis. Anal Chem. 2011; 83(7):2786-93. DOI: 10.1021/ac2000994. View

4.
Jaroszewski J . Hyphenated NMR methods in natural products research, part 1: direct hyphenation. Planta Med. 2005; 71(8):691-700. DOI: 10.1055/s-2005-871298. View

5.
Kenar E, Franken H, Forcisi S, Wormann K, Haring H, Lehmann R . Automated label-free quantification of metabolites from liquid chromatography-mass spectrometry data. Mol Cell Proteomics. 2013; 13(1):348-59. PMC: 3879626. DOI: 10.1074/mcp.M113.031278. View