EasyClone-MarkerFree: A vector toolkit for marker-less integration of genes into Saccharomyces cerevisiae via CRISPR-Cas9
Journal article, 2016

Saccharomyces cerevisiae is an established industrial host for production of recombinant proteins, fuels and chemicals. To enable stable integration of multiple marker-free overexpression cassettes in the genome of S. cerevisiae, we have developed a vector toolkit EasyClone-MarkerFree. The integration of linearized expression cassettes into defined genomic loci is facilitated by CRISPR/Cas9. Cas9 is recruited to the chromosomal location by specific guide RNAs (gRNAs) expressed from a set of gRNA helper vectors. Using our genome engineering vector suite, single and triple insertions are obtained with 90–100% and 60–70% targeting efficiency, respectively. We demonstrate application of the vector toolkit by constructing a haploid laboratory strain (CEN.PK113-7D) and a diploid industrial strain (Ethanol Red) for production of 3-hydroxypropionic acid, where we tested three different acetyl-CoA supply strategies, requiring overexpression of three to six genes each. Among the tested strategies was a bacterial cytosolic pyruvate dehydrogenase complex, which was integrated into the genome in a single transformation. The publicly available EasyClone-MarkerFree vector suite allows for facile and highly standardized genome engineering, and should be of particular interest to researchers working on yeast chassis with limited markers available.

Author

Mathew M. Jessop-Fabre

Technical University of Denmark (DTU)

T. Jakociunas

Technical University of Denmark (DTU)

Vratislav Stovicek

Technical University of Denmark (DTU)

Zongijie Dai

Chalmers, Biology and Biological Engineering, Systems and Synthetic Biology

M. K. Jensen

Technical University of Denmark (DTU)

J.D. Keasling

Technical University of Denmark (DTU)

Lawrence Berkeley National Laboratory

University of California

Joint BioEnergy Institute, California

I. Borodina

Technical University of Denmark (DTU)

Biotechnology journal

1860-6768 (ISSN) 1860-7314 (eISSN)

Vol. 11 8 1110-1117

Subject Categories

Bioinformatics and Systems Biology

DOI

10.1002/biot.201600147

More information

Latest update

11/17/2022