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

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Agronomic Crops

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.

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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

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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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  1. Department of Biotechnology, Science Campus, Alagappa University, Karaikudi, Tamil Nadu, India

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

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  1. Department of Agronomy, Faculty of Agriculture, Sher-e-Bangla Agricultural University, Dhaka, Bangladesh

    Mirza Hasanuzzaman

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Pandian, S., Rakkammal, K., Sagina Rency, A., Muthuramalingam, P., Karutha Pandian, S., Ramesh, M. (2020). Abiotic Stress and Applications of Omics Approaches to Develop Stress Tolerance in Agronomic Crops. In: Hasanuzzaman, M. (eds) Agronomic Crops. Springer, Singapore. https://doi.org/10.1007/978-981-15-0025-1_26

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