Yeast goes viral: probing SARS-CoV-2 biology using S. cerevisiae

Authors:

Brandon Ho1, Raphael Loll-Krippleber1 and Grant W. Brown1

doi: 10.15698/mic2022.04.774
Volume 9, pp. 80 to 83, published 21/03/2022.

Affiliations:

1 Department of Biochemistry and Donnelly Centre, University of Toronto, 160 College Street, Toronto, Ontario, Canada M5S3E1.

Keywords: 

SARS-CoV-2, yeast, protein interactions, directed evolution, cell surface display, virus genome assembly

Corresponding Author(s):

Brandon Ho, Department of Biochemistry and Donnelly Centre, University of Toronto, 160 College Street, Toronto, Ontario, Canada M5S3E1; brandon.ho@mail.utoronto.ca Raphael Loll-Krippleber, Department of Biochemistry and Donnelly Centre, University of Toronto, 160 College Street, Toronto, Ontario, Canada M5S3E1; raphael.loll.krippleber@utoronto.ca

Conflict of interest statement:

The authors declare no conflicts of interest.

Please cite this article as:

Brandon Ho, Raphael Loll-Krippleber and Grant W. Brown (2022). Yeast goes viral: probing SARS-CoV-2 biology using S. cerevisiae. Microbial Cell 9(4): 80-83. doi: 10.15698/mic2022.04.774

© 2022 Ho et al. This is an open-access article released under the terms of the Creative Commons Attribution (CC BY) license, which allows the unrestricted use, distribution, and reproduc-tion in any medium, provided the original author and source are acknowledged.

Abstract:

The budding yeast Saccharomyces cerevisiae has long been an outstanding platform for understanding the biology of eukaryotic cells. Robust genetics, cell biology, molecular biology, and biochemistry complement deep and detailed genome annotation, a multitude of genome-scale strain collections for functional genomics, and substantial gene conservation with Metazoa to comprise a powerful model for modern biological research. Recently, the yeast model has demonstrated its utility in a perhaps unexpected area, that of eukaryotic virology. Here we discuss three innovative applications of the yeast model system to reveal functions and investigate variants of proteins encoded by the SARS-CoV-2 virus.