FEMS Yeast Research· 2026Q2
Combinatorial engineering approaches for improved lipid production in Saccharomyces cerevisiae
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- Q2SCImago
- 2026year
Short summary
Engineering Saccharomyces cerevisiae by deleting CKB1 and SEI1, or by deleting ERD1 and increasing YFT2 expression, increased lipid content by 41% to 350 mg/gCDW, though with reduced growth.
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Key points
- Combinatorial engineering of Saccharomyces cerevisiae increased lipid content to 350 mg/gCDW, a 41% improvement.
- Deleting CKB1 and SEI1, or targeting ERD1 and YFT2, were effective strategies for enhancing lipid accumulation.
- The highest lipid-producing strains showed a trade-off with reduced growth rate and final biomass.
- The study highlights that gene modification outcomes are context-dependent, requiring careful combination selection.
AI-generated from the title and abstract; the full text is not read.
Abstract
Abstract Triacylglycerols (TAGs) hold substantial medical, nutritional, and industrial value. However, environmental concerns demand more sustainable production alternatives. A promising approach is the fermentation of TAG-accumulating microbes. In this study, we engineered a previously developed high-lipid producing Saccharomyces cerevisiae strain to further increase lipid accumulation through a combinatorial approach. We obtained up to 327 mg∙gCDW − 1 of lipid content by deleting CKB1, encoding a subunit of casein kinase 2 (CK2) related to the regulation of lipid metabolism, in combination with the deletion of SEI1 encoding a seipin. The deletion of CKB1 combined with reduced expression of ERD1 and increased expression of YFT2, genes related to ER stability and lipid droplet production, respectively, led to 329 mg∙gCDW − 1 of lipid content. Notably, in the highest lipid producer, only ERD1 and YFT2 were targeted. This strain reached up to 350 mg∙gCDW − 1 of lipid content, a 41% increase in lipid accumulation. However, the strains with the highest lipid content also showed a reduction in growth rate and final biomass accumulation. The results in this study demonstrate that the outcomes of individual modifications depend on the genetic background, emphasizing the importance of identifying the appropriate combination of target genes to achieve the desired phenotype.
The authors' abstract, as published at the source. FEMS Yeast Research, 2026 · DOI ↗
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Field: Biochemistry (Biochemistry, Genetics and Molecular Biology)
BiochemistryBiochemistry, Genetics and Molecular Biology