The yeast Yarrowia lipolytica represents a future microbial cell factory for numerous applications in a bio-based economy. Outstanding feature of this yeast is the metabolic flexibility in utilising various substrates (sugars, fatty acids, glycerol, etc.). The potential of wild-type isolates of Y. lipolytica to convert glycerol into various value-added compounds is attracting attention of academia and industry. However, the already established tools for efficient engineering of the metabolism of Y. lipolytica are often dependent on genetic features like auxotrophic markers. With the present work we want to introduce a new set of vectors for metabolic engineering strategies, including CRISPR/Cas9 technology. The system is based on GoldenMOCS, a recently established rapid Golden Gate cloning strategy applicable in multiple organisms. We could show that our new GoldenMOCS plasmids are suitable for the extrachromosomal overexpression of the gene glycerol kinase (GUT1) in wild-type isolates of Y. lipolytica resulting in enhanced conversion of glycerol to erythritol and citric acid. Moreover, a GoldenMOCS plasmid for CRISPR/Cas9 mediated genome editing has been designed, which facilitates single gene knock-outs with efficiencies between 6% and 25% in strains with genetic wild-type background.
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http://dx.doi.org/10.1093/femsle/fnz022 | DOI Listing |
Proc Natl Acad Sci U S A
January 2025
State Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Sciences, Hubei University, Wuhan 430062, China.
Horizontal gene transfer (HGT) from bacteria to insects is widely reported and often associated with the adaptation and diversification of insects. However, compelling evidence demonstrating how HGT-conferred metabolic adjustments enable species to adapt to surrounding environment remains scarce. Dietary specialization is an important ecological strategy adopted by animals to reduce inter- and intraspecific competition for limited resources.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
January 2025
Department of Biology, Faculty of Science and Technology, Mount Royal University, Calgary, AB T3E 6K6, Canada.
With over 14 million people living above 3,500 m, the study of acclimatization and adaptation to high altitude in human populations is of increasing importance, where exposure to high altitude (HA) imposes a blood oxygenation and acid-base challenge. A sustained and augmented hypoxic ventilatory response protects oxygenation through ventilatory acclimatization, but elicits hypocapnia and respiratory alkalosis. A subsequent renally mediated compensatory metabolic acidosis corrects pH toward baseline values, with a high degree of interindividual variability.
View Article and Find Full Text PDFEnviron Sci Technol
January 2025
State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environment Sciences, Chinese Academy of Sciences, Beijing 100085, China.
Perfluorooctanoic acid (PFOA) is a persistent pollutant that has gained worldwide attention, owing to its widespread presence in the environment. Previous studies have reported that PFOA upregulates lipid metabolism and is associated with liver injury in humans. However, when the fatty acid degradation pathway is activated, lipid accumulation still occurs, suggesting the presence of unknown pathways and mechanisms that remain to be elucidated.
View Article and Find Full Text PDFCells
December 2024
Biotechnology Research and Innovation Council-National Institute of Biomedical Genomics, Kalyani 741251, West Bengal, India.
Breast cancer is a cancer with global prevalence and a surge in the number of cases with each passing year. With the advancement in science and technology, significant progress has been achieved in the prevention and treatment of breast cancer to make ends meet. The scientific intradisciplinary subject of "metabolomics" examines every metabolite found in a cell, tissue, system, or organism from different sources of samples.
View Article and Find Full Text PDFHealthcare (Basel)
December 2024
Department of Computer Science, School of Arts, Humanities and Social Sciences, University of Roehampton, London SW15 5PH, UK.
: Diabetes is a metabolic disorder characterized by increased blood sugar levels. Early detection of diabetes could help individuals to manage and delay the progression of this disorder effectively. Machine learning (ML) methods are important in forecasting the progression and diagnosis of different medical problems with better accuracy.
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