Novel Avenues in Plant Omics and Bioinformatics Tools to Unravel the Biotic and Abiotic Stress Mechanisms
A special issue of Plants (ISSN 2223-7747). This special issue belongs to the section "Plant Genetics, Genomics and Biotechnology".
Deadline for manuscript submissions: closed (31 July 2021) | Viewed by 665
Special Issue Editor
Interests: plant biotechnology; abiotic stress; millets; Agrobacterium; hairy root cultures; secondary metabolites; plant–microbe interactions; medicinal plants
Special Issue Information
Dear Colleagues,
Abiotic and biotic stresses are major environmental stressors which simultaneously encounter plant growth and productivity. This is a comprehensive topic on which several studies have been conducted worldwide to understand the molecular and physiological dynamisms under plant stress conditions. Despite all these efforts, the various adaptive mechanisms of plants under stressful environment still remain a major bottleneck. Therefore, new and improved methods and tools for the production of stress-tolerant plant production with increasing yield and agronomical traits are needed.
In recent years, ever-increasing plant multi-omics and bioinformatic tools are used to unravel deeper molecular biological insights imparting plant tolerance to diverse stress mechanisms. Hence, this Special Issue aims to integrate recent innovative high-throughput sequencing and computational omics approaches such as genomics, epigenomics, transcriptomics, proteomics, hormonomics, metabolomics and phenomics, and other related topics which include breeding, biotechnology, biochemistry, systems biology, and agricultural practices to make novel progress in delineating the molecular and cellular systems level aspects of stress tolerant plant production.
We invite researchers to contribute both original research articles and reviews to this Special Issue.
Dr. Lakkakula Satish
Guest Editor
Manuscript Submission Information
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Keywords
- abiotic stress
- bioinformatics
- biotechnology
- biotic stress
- breeding
- crop plants
- epigenomics
- genetic diversity
- hormonomics
- interactomics
- metabolomics
- omics
- phenomics
- proteomics
- systems biology
- transcriptomics
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