Affiliations 

  • 1 Forest Biotech Laboratory, Department of Forest Management, Faculty of Forestry, University of Putra Malaysia, 43400, Serdang, Selangor, Malaysia. saimu083@yahoo.co.in
  • 2 Department of Botany, S.P. College Srinagar, Srinagar, 190001, Jammu and Kashmir, India
  • 3 Molecular Biology Lab., Division of Veterinary Biochemistry, Faculty of Veterinary Science & Animal Husbandry, Sheri Kashmir University of Agricultural Science & Technology (SKUAST-K), Srinagar, Jammu & Kashmir, 190006, India
  • 4 CESAM-Centre for Environmental and Marine Studies & Department of Chemistry, University of Aveiro, 3810-193, Aveiro, Portugal
Appl Biochem Biotechnol, 2015 Dec;177(7):1395-408.
PMID: 26440315 DOI: 10.1007/s12010-015-1830-9

Abstract

The inexorable exposure of plants to the combinations of abiotic stresses has affected the worldwide food supply. The crop improvement against these abiotic stresses has been captivating approach to increase the yield and enhance the stress tolerance. By using traditional and modern breeding methods, the characters that confer tolerance to these stresses were accomplished. No doubt genetic engineering and molecular breeding have helped in comprehending the intricate nature of stress response. Understanding of abiotic stress-involved cellular pathways provides vital information on such responses. On the other hand, genomic research for crop improvement has raised new assessments in breeding new varieties against abiotic stresses. Interpretation of responses of the crop plants under stress is of great significance by studying the main role of crops in food and biofuel production. This review presents genomic-based approaches revealing the complex networks controlling the mechanisms of abiotic stress tolerance, and the possible modes of assimilating information attained by genomic-based approaches due to the advancement in isolation and functional analysis of genes controlling the yield and abiotic stress tolerance are discussed.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.