Ganoderma lucidum, a medicinal mushroom renowned for its production of a diverse array of compounds, accounts for the pharmacological effects including anti-inflammatory, antioxidant, immunomodulatory, and anticancer characteristics. Thus, it is recognized as a valuable species of interest in the pharmaceutical and nutraceutical industries due to its important medicinal properties. Recent advances in omics technologies such as genomes, transcriptomics, proteomics, and metabolomics have considerably increased our understanding of the bioactives in G. lucidum. This review explores the application of molecular breeding techniques to enhance both the yield and quality of G. lucidum across the food, pharmaceutical, and industrial sectors. The article discusses the current state of research on the use of contemporary omics technologies which studies and highlights future research directions that may increase the production of bioactive compounds for their therapeutic potential. Additionally, predictive methods with computational studies have recently emerged as effective tools for investigating bioactive constituents in G. lucidum, providing an organized and cost-effective strategy for understanding their bioactivity, interactions, and possible therapeutic uses. Omics and machine learning techniques can be applied to identify the candidates for pharmaceutical applications and to enhance the production of bioactive compounds in G. lucidum. The quantification and production of the bioactive compounds can be streamlined by the integrating computational study of bioactive compounds with non-destructive predictive machine learning models of the same. Synergistically, these techniques have the potential to be a promising approach for the future prediction of the bioactive constituents, without compromising the integrity of the fungal organism.

Centre of Advanced Innovation Technologies VSB Technical University of Ostrava Ostrava Poruba 70800 Czech Republic

Department of Biology University of Mississippi Oxford MS 38655 USA

Department of Pharmaceutical Chemistry School of Pharmaceutical Sciences Shoolini University Solan 173229 India

ICFRE Himalayan Forest Research Institute Shimla 171013 India

School of Advanced Chemical Sciences Shoolini University Solan 173229 India

School of Bioengineering and Food Technology Shoolini University of Biotechnology and Management Sciences Solan 173229 India

School of Biological and Environmental Science Shoolini University of Biotechnology and Management Sciences Solan 173229 India

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