Abiotic Stress and Applications of Omics Approaches to Develop Stress Tolerance in Agronomic Crops

  • Subramani Pandian
  • Kasinathan Rakkammal
  • Arockiam Sagina Rency
  • Pandiyan Muthuramalingam
  • Shunmugiah Karutha Pandian
  • Manikandan Ramesh


Abiotic stress is a multifarious factor that mainly affects the growth and yield of crop plants worldwide. Crop production is highly affected by abiotic stresses including drought, water submergence, salt, and heavy metals. The plants have developed various biochemical, physiological, and metabolic mechanisms to fight against different abiotic stresses. In order to get detailed knowledge about these complex molecular systems, we need the development of systems biology approaches, namely genomics, proteomics, transcriptomics, and metabolomics. Each one of the “omics study” has its own importance in developing the stress tolerance in agronomic crops. In order to combat changing environments, plants modify their “omics” profile for their survival. Recent developments in omics technologies provide deep insights into the molecular mechanisms and functions of particular genes and its resulting phenotypes. In recent times, these omic approaches are aimed to understand the molecular interaction and the involvement of signalling networks on abiotic stress plants. This chapter briefs about the involvement of different omics approach in understanding the effect of abiotic stress and the development of stress tolerance in agronomically important crops.


Abiotic stress Agronomic crops Genomics Transcriptomics Proteomics Metabolomics Ionomics Phenomics 



two-dimensional electrophoresis


ascorbate peroxidase




collision-induced dissociation


ethyl methane sulphonate


electrospray ionization


Fourier transform-infrared spectroscopy


gas chromatography-mass spectrometry


guaiacol peroxidase




isotope-coded affinity tags


inductively coupled plasma mass spectrometry


inductively coupled plasma optical emission spectroscopy


infrared thermography


isobaric tags for relative and absolute quantification


liquid chromatography-mass spectrometry


late embryogenesis abundant proteins


matrix-assisted laser desorption ionization


marker-assisted selection




magnetic resonance imaging


mass spectrometry


neutron activation analysis


next-generation sequencing


nuclear magnetic resonance


positron emission tomography


Purdue Ionomics Information Management System


quantitative trait locus


reactive oxygen species


stem elongation


stable isotope labelling by amino acids in cell culture


superoxide dismutase


tricarboxylic acid



The author S. Pandian (UGC order no: F.25-1/2014-15 (BSR)/7-326/2011/BSR) thank the University Grants Commission, New Delhi, India, for financial support in the form of fellowship. The authors sincerely acknowledge the computational and bioinformatics facility provided by the Alagappa University Bioinformatics Infrastructure Facility (funded by DBT, GOI; File No. BT/BI/25/012/2012, BIF). The authors also thankfully acknowledge DST-FIST (grant no. SR/FST/LSI-639/2015(C)), UGC-SAP (grant no. F.5-1/2018/DRS-II(SAP-II)), and DST-PURSE (grant no. SR/PURSE Phase 2/38 (G)) for providing instrumentation facilities.


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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Subramani Pandian
    • 1
  • Kasinathan Rakkammal
    • 1
  • Arockiam Sagina Rency
    • 1
  • Pandiyan Muthuramalingam
    • 1
  • Shunmugiah Karutha Pandian
    • 1
  • Manikandan Ramesh
    • 1
  1. 1.Department of Biotechnology, Science CampusAlagappa UniversityKaraikudiIndia

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