Quantification of Microbial Robustness in Yeast
Journal article, 2022

Stable cell performance in a fluctuating environment is essential for sustainable bioproduction and synthetic cell functionality; however, microbial robustness is rarely quantified. Here, we describe a high-throughput strategy for quantifying robustness of multiple cellular functions and strains in a perturbation space. We evaluated quantification theory on experimental data and concluded that the mean-normalized Fano factor allowed accurate, reliable, and standardized quantification. Our methodology applied to perturbations related to lignocellulosic bioethanol production showed that the industrial bioethanol producing strain Saccharomyces cerevisiae Ethanol Red exhibited both higher and more robust growth rates than the laboratory strain CEN.PK and industrial strain PE-2, while a more robust product yield traded off for lower mean levels. The methodology validated that robustness is function-specific and characterized by positive and negative function-specific trade-offs. Systematic quantification of robustness to end-use perturbations will be important to analyze and construct robust strains with more predictable functions.

yeast

Fano factor

robustness quantification

high-throughput

phenomics

bioprocess

Author

Cecilia Trivellin

Chalmers, Biology and Biological Engineering, Industrial Biotechnology

Lisbeth Olsson

Chalmers, Biology and Biological Engineering, Industrial Biotechnology

Peter Rugbjerg

Chalmers, Biology and Biological Engineering, Industrial Biotechnology

Enduro Genetics ApS

ACS Synthetic Biology

2161-5063 (eISSN)

Vol. 11 4 1686-1691

Subject Categories

Production Engineering, Human Work Science and Ergonomics

Bioprocess Technology

Biomedical Laboratory Science/Technology

DOI

10.1021/acssynbio.1c00615

PubMed

35276039

More information

Latest update

3/7/2024 9