Preprint Review Version 1 Preserved in Portico This version is not peer-reviewed

Plants Metabolome Study: Emerging Tools and Techniques

Manish Kumar Patel
* ORCID logo ,
Sonika Pandey
,
Manoj Kumar
ORCID logo ,
Intesaful Haque
,
Sikander Pal
* ,
Narendra Singh Yadav
* ORCID logo
Version 1 : Received: 7 July 2021 / Approved: 8 July 2021 / Online: 8 July 2021 (10:46:55 CEST)

A peer-reviewed article of this Preprint also exists.

Patel, M.K.; Pandey, S.; Kumar, M.; Haque, M.I.; Pal, S.; Yadav, N.S. Plants Metabolome Study: Emerging Tools and Techniques. Plants 2021, 10, 2409. Patel, M.K.; Pandey, S.; Kumar, M.; Haque, M.I.; Pal, S.; Yadav, N.S. Plants Metabolome Study: Emerging Tools and Techniques. Plants 2021, 10, 2409.

Abstract

Metabolomics is now considered to be a wide-ranging, sensitive and practical approach to acquire useful information on the composition of a metabolite pool present in any organism, including plants. Investigating metabolomic regulation in plants is essential to understand their adaptation, acclimation and defense response to environmental stresses through the production of numerous metabolites. Moreover, metabolomics can be easily applied for the phenotyping of plants; and thus, it has great potential to be used in molecular breeding and genome editing programs to develop superior next generation crops. This review describes the recent analytical tools and techniques available to study plants metabolome, along with their significance of sample preparation using targeted and non-targeted method. Advanced analytical tools, like gas chromatography-mass spectrometry (GC-MS), liquid chromatography mass-spectroscopy (LC-MS), capillary electrophoresis-mass spectrometry (CE-MS), fourier transform ion cyclotron resonance-mass spectrometry (FTICR-MS) and matrix-assisted laser desorption/ionization (MALDI) have speed up metabolic profiling in plants. Further, we deliver a complete overview of bioinformatics tools and plant metabolome database that can be utilized to advance our knowledge to plant biology.

Keywords

metabolomics; plant biology; metabolomics databases; data analysis; metabolomics software tools; mass spectrometry; omics

Subject

Biology and Life Sciences, Biochemistry and Molecular Biology

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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