Editorial: Multi-omics and computational biology in horticultural plants: From genotype to phenotype

Abstract

Horticultural plants complement our food requirements from major agronomic crops by providing a vast range of bioactive compounds, vitamins, and minerals along with carbohydrates, reducing sugars, organic acids, proteins, and fats. They play an important role for humans by providing herbal medicines, beverages, vegetables, fruits, spices, and ornamentals. In recent years many horticultural plant genomes have been sequenced (Chen et al., 2019;Liang et al., 2022) and multi-omics technologies have surfaced marker-trait association, gene expression patterns, differential gene and protein abundance along with the understanding of regulatory RNA (Hermanns et al., 2020;Luo et al., 2021). In a nutshell, high-throughput technologies have revolutionized the time scale and power of detecting insights into physiological changes and biological mechanisms in plants (Zhang and Hao, 2020;Liang et al., 2022). All sequencing data and tools have helped us better understand the evolutionary histories of plants and provide genotype resources for molecular studies on economically important traits Zhou G. et al., 2022). The integration of these -omics technologies (e.g., genomics, transcriptomics, proteomics, metabolomics, lipidomics, ionomics, and redoxomics, etc.) is currently at the forefront of plant research. The genomes of horticultural plants are highly diverse and complex, often with a high degree of heterozygosity and polyploidy, such as Solanum tuberosum, modern roses, Chrysanthemum, and Eustoma grandiflorum (Hibrand Saint-Oyant Frontiers in Plant Science frontiersin.org 01

Editorial: Multi-omics and computational biology in horticultural plants: from genotype to phenotype, volume II

“…This approach underscores the critical importance of combining various multi-omics datasets, such as genomics, transcriptomics, proteomics, and metabolomics, in horticultural plants. By combining various multi-omics datasets, offers a comprehensive view of complex biological processes, enhancing our understanding of plant growth, development, and environmental responses, and facilitates the identification of key genetic markers and traits for crop improvement, supporting innovative breeding strategies (Mondal et al, 2022). Moreover, it aids in more effective management of plant health and productivity, contributing to the overall advancement of horticultural science.…”

An Integrated Multi-Omics and Artificial Intelligence Framework for Advance Plant Phenotyping in Horticulture

“…Furthermore, protein-protein interaction studies can shed light on the complex protein networks that regulate plant development and responses to environmental cues. For example, understanding the protein interactions involved in the fruit ripening process could help in the development of strategies to enhance fruit quality and shelf life [77][78][79].…”

“…Aids in disease diagnosis and management: By providing a comprehensive view of plant biology, multi-omics integration can aid in the diagnosis and management of plant diseases. For example, it can help identify molecular markers associated with disease resistance, guide the development of disease-resistant plant varieties, and inform disease management strategies [78,92].…”