All of the publications that have resulted from the CHASSY project are also available on the project ZENODO page, which you can access here.
Yarrowia lipolytica is one of the three target yeast species in the CHASSY project. It has recieved an increasing amount of research attention in recent years as a promising cell factory for the production of compounds of industrial interest. It is a good natural producer of citric acid, erythritol, various proteins and lipids. Y. lipolytica can grow at high densities and produce large titers of product. Recent advances in synthetic biology have rapidly increased the ability of researchers to engineer this yeast to produce an expanded range of valuable compounds and to increase its robustness to withstand harsh industrial conditions and processes. Read a review of the latest SynBio tools developed for Y. lipolytica written by CHASSY researchers at INRA Ile-de-France and their colleagues here.
Fatty alcohols can be used for, among other applications, biofuels. Yeast has high potential for industrial scale production of these valuable compounds, but accumulation of fatty alcohols can impair yeast growth rates and extraction can be costly. In this paper, colleagues from Chalmers University of Technology demonstrate that certain heterologous transporters may facilitate successful commercialization of fatty alcohol production in yeast. This could inspire the design of novel cell factories. Read the abstract here: Show abstract...
Genome editing in Kluyveromyces and Ogataea yeasts using a broad-host-range Cas9/gRNA co-expression plasmid
This paper is a collaboration between colleagues in Delft and UCC. They have constructed a plasmid that has shown to be efficient in deactivating the ADE2 gene in four different yeast species. This could open up new paths of research in non-conventional yeasts as previous plasmids and cassettes fro Cas9 and guide-RNA expression were species-specific. The research was published in FEMS Yeast Research.
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Under pressure: evolutionary engineering of yeast strains for improved performance in fuels and chemicals production
Evolutionary engineering, which uses laboratory evolution to select for industrially relevant traits, is a popular strategy in the development of high-performing yeast strains for industrial production of fuels and chemicals. By integrating whole-genome sequencing, bioinformatics, classical genetics and genome-editing techniques, evolutionary engineering has also become a powerful approach for identification and reverse engineering of molecular mechanisms that underlie industrially relevant traits. New techniques enable acceleration of in vivo mutation rates, both across yeast genomes and at specific loci. Recent studies indicate that phenotypic trade-offs, which are often observed after evolution under constant conditions, can be mitigated by using dynamic cultivation regimes. Advances in research on synthetic regulatory circuits offer exciting possibilities to extend the applicability of evolutionary engineering to products of yeasts whose synthesis requires a net input of cellular energy. The review is available to read in Current Opinion in Biotechnology.
CHASSY PI, Jean-Marc Daran of TU Delft and his colleagues have experimented with using a new type of CRISPR technology for genome editing in the industrial yeast, Saccharomyces cerevisiae. They found Cpf1 to be highly efficient at introducing point mutations with high fidelity, and multi-gene editing. The system was also efficient at promoting recombination of the repair fragment.
Improving the phenotype predictions of a yeast genome-scale metabolic model by incorporating enzymatic constraints
Genome-scale metabolic models (GEMS) are a useful tool for calculating metabolic phenotypes. Research by CHASSY PI Jens Nielsen and his colleagues have improved the GEMs for Saccharomyces cerevisiae by applying GECKO, a method that also accounts for enzymes as part of reactions. This method is expected to increase the use of model-based design in metabolic engineering. The research is available to read in Molecular Systems Biology.
You can read the abstract here: Show abstract...