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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
Chapter

Abstract

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.

Keywords

Abiotic stress Agronomic crops Genomics Transcriptomics Proteomics Metabolomics Ionomics Phenomics 

Abbreviations

2-DE

two-dimensional electrophoresis

APX

ascorbate peroxidase

CAT

catalase

CID

collision-induced dissociation

EMS

ethyl methane sulphonate

ESI

electrospray ionization

FTIR

Fourier transform-infrared spectroscopy

GC-MS

gas chromatography-mass spectrometry

GPX

guaiacol peroxidase

GSH

glutathione

ICAT

isotope-coded affinity tags

ICPMS

inductively coupled plasma mass spectrometry

ICPOES

inductively coupled plasma optical emission spectroscopy

IRT

infrared thermography

iTRAQ

isobaric tags for relative and absolute quantification

LC-MS

liquid chromatography-mass spectrometry

LEAP

late embryogenesis abundant proteins

MALDI

matrix-assisted laser desorption ionization

MAS

marker-assisted selection

MDA

malondialdehyde

MRI

magnetic resonance imaging

MS

mass spectrometry

NAA

neutron activation analysis

NGS

next-generation sequencing

NMR

nuclear magnetic resonance

PET

positron emission tomography

PiiMS

Purdue Ionomics Information Management System

QTL

quantitative trait locus

ROS

reactive oxygen species

SE

stem elongation

SILAC

stable isotope labelling by amino acids in cell culture

SOD

superoxide dismutase

TCA

tricarboxylic acid

Notes

Acknowledgments

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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