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The yeast metabolic and evolutionary engineering, especially Saccharomyces cerevisiae, plays a significant role in the enhancement of its industrial applications in food, beverage, and biofuel production. This review integrates genetic engineering, systems biology, and evolutionary principles to optimize yeast performance, adaptability, and productivity. The key strategies which enable targeted genome modifications to improve substrate utilization, stress tolerance, and the biosynthesis of valuable metabolites such as flavor compounds, organic acids, vitamins, and antioxidants, including precise gene editing, notably CRISPR-Cas9. The metabolic pathway optimization through gene overexpression, deletion, and heterologous pathway integration, supported by multi-omics analyses and the Subcellular compartmentalization of metabolic pathways, which enhances biosynthetic efficiency. This review then discusses evolutionary engineering and global transcription machinery engineering by leveraging natural selection and global gene regulation to improve complex traits. The exploration of non-Saccharomyces species and genome shuffling expands the genetic toolkit for strain development. Emerging approaches, including machine learning and synthetic biology, are accelerating rational strain design. By critically synthesizing these diverse methodologies, this review highlights current advancements, identifies key challenges, and outlines future directions in engineering robust yeast strains for sustainable food biotechnology.
Dagariya et al. (Thu,) studied this question.
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