Sterol-Targeted Laboratory Evolution Allows the Isolation of Thermotolerant and Respiratory-Competent Clones of the Industrial Yeast Saccharomyces cerevisiae.

Sterol composition plays a crucial role in determining the ability of yeast cells to withstand high temperatures, an essential trait in biotechnology. Using a targeted evolution strategy involving fluconazole (FCNZ), an inhibitor of the sterol biosynthesis pathway, and the immunosuppressant FK506, we aimed to enhance thermotolerance in an industrial baker's yeast population by modifying their sterol composition. This approach yielded six isolates capable of proliferating in liquid YPD with μ values ranging from 0.

An integrated multiphase dynamic genome-scale model explains batch fermentations led by species of the genus.

During batch fermentation, a variety of compounds are synthesized, as microorganisms undergo distinct growth phases: lag, exponential, growth-no-growth transition, stationary, and decay. A detailed understanding of the metabolic pathways involved in these phases is crucial for optimizing the production of target compounds. Dynamic flux balance analysis (dFBA) offers insight into the dynamics of metabolic pathways.

Transitioning to Microplastic-Free Seed Coatings: Challenges and Solutions.

This review addresses the issue of replacing manufactured microplastics in seed coatings used in agriculture. Firstly, it focuses on the policy and regulatory actions taken on microplastics at a global level. There is no consensus within the scientific community on the definition of a microplastic and, more generally, on the classification of plastic debris.

Identifying giant cell arteritis patients with higher risk of relapse and vascular events: a cluster analysis.

Objective: Giant cell arteritis (GCA) is one of the most common large vessel (LVV) vasculitis and is associated with a high risk of relapse and cardiovascular complications. Improving risk stratification remains a significant issue in this patient population. We aimed to perform a cluster analysis among GCA to identify clusters and evaluate their prognostic value.