Four ways of implementing robustness quantification in strain characterisation
Journal article, 2023
Results. Using flasks and high-throughput experimental setups, robustness was quantified in relation to: (i) stability of growth functions in response to the seven hydrolysates; (ii) stability of growth functions across different strains to establish the impact of perturbations on yeast metabolism; (iii) stability of intracellular parameters over time; (iv) stability of intracellular parameters within a cell population to indirectly quantify population heterogeneity. Ethanol Red was the best-performing strain under all tested conditions, achieving the highest growth function robustness. PE2 displayed the highest population heterogeneity. Moreover, the intracellular environment varied in response to non-woody or woody lignocellulosic hydrolysates, manifesting increased oxidative stress and unfolded protein response, respectively.
Conclusions. Robustness quantification is a powerful tool for strain characterisation as it offers novel information on physiological and biochemical parameters. Owing to the flexibility of the robustness quantification method, its implementation was successfully validated at single-cell as well as high-throughput levels, showcasing its versatility and potential for several applications.
Physiology
Bioprocess
Yeast
Saccharomyces cerevisiae
Intracellular environment
Biosensors
Author
Luca Torello Pianale
Chalmers, Life Sciences, Industrial Biotechnology
Fabio Caputo
Chalmers, Life Sciences, Industrial Biotechnology
Lisbeth Olsson
Chalmers, Life Sciences, Industrial Biotechnology
Biotechnology for Biofuels and Bioproducts
27313654 (eISSN)
Vol. 16 1 195Subject Categories
Renewable Bioenergy Research
Microbiology
Vehicle Engineering
DOI
10.1186/s13068-023-02445-6