Research Keyword: bioproduction

The forced activation of asexual conidiation in Aspergillus niger simplifies bioproduction

Researchers developed a new method to simplify the production of L-malic acid using genetically modified Aspergillus niger fungi. Instead of growing spores on solid plates—a time-consuming and labor-intensive process—they engineered the fungi to produce spores directly in liquid medium controlled by adding xylose. This simplified approach maintains the fungi’s ability to produce high levels of L-malic acid while significantly reducing costs and labor requirements for industrial production.

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Unlocking the magic in mycelium: Using synthetic biology to optimize filamentous fungi for biomanufacturing and sustainability

This comprehensive review explores how scientists can use modern genetic engineering tools to improve filamentous fungi (molds and mushrooms) for producing valuable products like antibiotics, enzymes, and sustainable food and materials. The authors explain that while these fungi naturally excel at breaking down plant material and producing useful compounds, they haven’t received as much attention from genetic engineers as other microorganisms. By applying techniques like CRISPR gene editing, computational modeling, and directed evolution, researchers can make fungal strains grow faster, produce higher yields, and use cheaper feedstocks, making industrial production more efficient and environmentally friendly.

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Bioinformatics-aided identification, characterization and applications of mushroom linalool synthases

Scientists discovered a special enzyme from mushrooms that efficiently produces linalool, a fragrance ingredient found in most perfumes and cosmetics. This fungal enzyme is much more efficient and selective than similar enzymes from plants or bacteria, making it ideal for mass-producing natural linalool through fermentation. The study used advanced computer analysis to identify the enzyme and revealed specific parts of the enzyme responsible for its excellent performance, which could help design even better enzymes in the future.

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