Omics tools have been a crucial part of our modern agricultural system. Application of the tools such as genomics, transcriptomics, proteomics, metabolomics, and epigenomics has accelerated the gene discovery process and improved breeding activities by reducing time and expense in developing an elite variety. These multidisciplinary approaches when integrated offer holistic acumens into the fundamental genetic, biochemical, and physiological processes of living organisms. It has provided insights into the underlying mechanism of plant response to biotic and abiotic stresses, herbicide tolerance, plant yield, growth, and development. Moreover, omics facilitates delving into the complex interplay between the genes, proteins, and ultimately metabolites associated with a resulting phenotype. Thus, omics presents a great potential for enhancing our agricultural systems and promoting sustainability.
With the recent advancements in high-throughput technologies, the quality and quantity of molecular data have increased; however, data integration especially in the realm of omics is still developing. Looking into only transcriptome or just the proteome is not enough, therefore,
integration of multi-omics data such as proteome and metabolome is essential to get a better resolution of rare genes and molecular signals that are associated with complex agronomic traits, such as plant and stress interactions. This section presents innovative research and reviews articles in plant sciences that apply high-throughput molecular technologies such as omics. This section considers the articles that fall on the topics indicated below, and all omics studies must be expanded and provided with insights into the biological or physiological process for consideration. Research articles containing only the descriptive analysis of omics will not be considered in this section.
We welcome submissions containing, but not limited to, the below areas:
- Functional genomics
- Plant omics on abiotic and biotic interactions
- Omics related to agronomics traits
- Transcriptomics
- Plant Proteomics
- Plant metabolomics
- Epigenomics
- GWAS studies on agronomic traits based on multi-omics
Omics tools have been a crucial part of our modern agricultural system. Application of the tools such as genomics, transcriptomics, proteomics, metabolomics, and epigenomics has accelerated the gene discovery process and improved breeding activities by reducing time and expense in developing an elite variety. These multidisciplinary approaches when integrated offer holistic acumens into the fundamental genetic, biochemical, and physiological processes of living organisms. It has provided insights into the underlying mechanism of plant response to biotic and abiotic stresses, herbicide tolerance, plant yield, growth, and development. Moreover, omics facilitates delving into the complex interplay between the genes, proteins, and ultimately metabolites associated with a resulting phenotype. Thus, omics presents a great potential for enhancing our agricultural systems and promoting sustainability.
With the recent advancements in high-throughput technologies, the quality and quantity of molecular data have increased; however, data integration especially in the realm of omics is still developing. Looking into only transcriptome or just the proteome is not enough, therefore,
integration of multi-omics data such as proteome and metabolome is essential to get a better resolution of rare genes and molecular signals that are associated with complex agronomic traits, such as plant and stress interactions. This section presents innovative research and reviews articles in plant sciences that apply high-throughput molecular technologies such as omics. This section considers the articles that fall on the topics indicated below, and all omics studies must be expanded and provided with insights into the biological or physiological process for consideration. Research articles containing only the descriptive analysis of omics will not be considered in this section.
We welcome submissions containing, but not limited to, the below areas:
- Functional genomics
- Plant omics on abiotic and biotic interactions
- Omics related to agronomics traits
- Transcriptomics
- Plant Proteomics
- Plant metabolomics
- Epigenomics
- GWAS studies on agronomic traits based on multi-omics