Glutathione (GSH) is the most abundant non-protein thiol in living organisms. Due to its important antioxidant role, it is widely used in medicine, as a food additive, and in the cosmetic industry. Recently, GSH has received growing attention in winemaking because of its ability to control oxidative spoilage damage and to protect various aromatic compounds. Indeed, GSH concentration in wine is highly variable and several factors are involved in its regulation, ranging from grape must to yeast fermentation activity. This short review aims at highlighting the common genetic strategies, useful for obtaining wine yeasts with enhanced GSH production, paying particular attention to the adaptive evolution approaches. Moreover, other strategies, such as random mutagenesis, metabolic engineering and hybridization have been briefly reviewed with a stress on both their strengths and weaknesses in terms of actual feasibility and acceptance by wine consumers.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6605010PMC
http://dx.doi.org/10.3934/microbiol.2017.2.155DOI Listing

Publication Analysis

Top Keywords

adaptive evolution
8
evolution approaches
8
high-glutathione producing
4
producing yeasts
4
yeasts genetic
4
genetic improvement
4
improvement strategies
4
strategies focus
4
focus adaptive
4
approaches novel
4

Similar Publications

Genomic analysis and potential polyhydroxybutyrate (PHB) production from Bacillus strains isolated from extreme environments in Mexico.

BMC Microbiol

January 2025

Unidad de Manipulación Genética, Facultad de Ciencias Biológicas, Departamento de Microbiología e Inmunología, Universidad Autónoma de Nuevo León, Monterrey, Nuevo León, México.

Background: Plastic pollution is a significant environmental problem caused by its high resistance to degradation. One potential solution is polyhydroxybutyrate (PHB), a microbial biodegradable polymer. Mexico has great uncovered microbial diversity with high potential for biotechnological applications.

View Article and Find Full Text PDF

Chromosome-level genome assembly, annotation, and population genomic resource of argali (Ovis ammon).

Sci Data

January 2025

Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, 830011, China.

Argali stands as the largest species among wild sheep in Central and East Asia, with a concerning rate of decline estimated at 30%. The intraspecific taxonomy of argali remains contentious due to limited genomic data and unclear geographic separation. In this study, we constructed a chromosome-level genome assembly and annotation for the Tibetan argali (O.

View Article and Find Full Text PDF

Tailoring industrial enzymes for thermostability and activity evolution by the machine learning-based iCASE strategy.

Nat Commun

January 2025

Key Laboratory of Industrial Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi, PR China.

The pursuit of obtaining enzymes with high activity and stability remains a grail in enzyme evolution due to the stability-activity trade-off. Here, we develop an isothermal compressibility-assisted dynamic squeezing index perturbation engineering (iCASE) strategy to construct hierarchical modular networks for enzymes of varying complexity. Molecular mechanism analysis elucidates that the peak of adaptive evolution is reached through a structural response mechanism among variants.

View Article and Find Full Text PDF

This paper presents a surrogate-assisted global and distributed local collaborative optimization (SGDLCO) algorithm for expensive constrained optimization problems where two surrogate optimization phases are executed collaboratively at each generation. As the complexity of optimization problems and the cost of solutions increase in practical applications, how to efficiently solve expensive constrained optimization problems with limited computational resources has become an important area of research. Traditional optimization algorithms often struggle to balance the efficiency of global and local searches, especially when dealing with high-dimensional and complex constraint conditions.

View Article and Find Full Text PDF

Background And Aims: The cosmopolitan Botrychium lunaria group belong to the most species rich genus of the family Ophioglossaceae and was considered to consist of two species until molecular studies in North America and northern Europe led to the recognition of multiple new taxa. Recently, additional genetic lineages were found scattered in Europe, emphasizing our poor understanding of the global diversity of the B. lunaria group, while the processes involved in the diversification of the group remain unexplored.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!