Metabolic profiling and biomarkers identification in cluster bean under drought stress using GC-MS technique

Abstract

Introduction

The Cluster bean is an economically significant annual legume, widely known as guar. Plant productivity is frequently constrained by drought conditions.

Objective

In this work, we have identified the untargeted drought stress-responsive metabolites in mature leaves of cluster beans under drought and control condition.

Methods

To analyse the untargeted metabolites, gas chromatography-mass spectrometry (GC-MS) technique was used. Supervised partial least-squares discriminate analysis and heat map were used to identify the most significant metabolites for drought tolerance.

Results

The mature leaves of drought-treated C. tetragonoloba cv. ‘HG-365’ which is a drought-tolerant cultivar, showed various types of amino acids, fatty acids, sugar alcohols and sugars as the major classes of metabolites recognized by GC-MS metabolome analysis. Metabolite profiling of guar leaves showed 23 altered metabolites. Eight metabolites (proline, valine, D-pinitol, palmitic acid, dodecanoic acid, threonine, glucose, and glycerol monostearate) with VIP score greater than one were considered as biomarkers and three metabolite biomarkers (D-pinitol, valine, and glycerol monostearate) were found for the first time in guar under drought stress. In this work, four amino acids (alanine, valine, serine and aspartic acid) were also studied, which played a significant role in drought-tolerant pathway in guar.

Conclusion

This study provides information on the first-ever GC-MS metabolic profiling of guar. This work gives in-depth details on guar’s untargeted drought-responsive metabolites and biomarkers, which can plausibly be used for further identification of biochemical pathways, enzymes, and the location of various genes under drought stress.