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Degradation of mannans is a key process in the production of foods and prebiotics. β-Mannanase is the key enzyme that hydrolyzes 1,4-β-D-mannosidic linkages in mannans. Heterogeneous expression of β-mannanase in Pichia pastoris systems is widely used; however, Saccharomyces cerevisiae expression systems are more reliable and safer. We optimized β-mannanase gene from Aspergillus sulphureus and expressed it in five S. cerevisiae strains. Haploid and diploid strains, and strains with constitutive promoter TEF1 or inducible promoter GAL1, were tested for enzyme expression in synthetic auxotrophic or complex medium. Highest efficiency expression was observed for haploid strain BY4741 integrated with β-mannanase gene under constitutive promoter TEF1, cultured in complex medium. In fed-batch culture in a fermentor, enzyme activity reached ~ 24 U/mL after 36 h, and production efficiency reached 16 U/mL/day. Optimal enzyme pH was 2.0-7.0, and optimal temperature was 60 °C. In studies of β-mannanase kinetic parameters for two substrates, locust bean gum galactomannan (LBG) gave K = 24.13 mg/mL and V = 715 U/mg, while konjac glucomannan (KGM) gave K = 33 mg/mL and V = 625 U/mg. One-hour hydrolysis efficiency values were 57% for 1% LBG, 74% for 1% KGM, 39% for 10% LBG, and 53% for 10% KGM. HPLC analysis revealed that the major hydrolysis products were the oligosaccharides mannose, mannobiose, mannotriose, mannotetraose, mannopentaose, and mannohexaose. Our findings show that this β-mannanase has high efficiency for hydrolysis of mannans to mannooligosaccharides, a type of prebiotic, suggesting strong potential application in food industries.
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http://dx.doi.org/10.1007/s00253-018-9355-0 | DOI Listing |
Alzheimers Res Ther
September 2025
Department of Neurology, Saarland University, Kirrberger Straße, 66421, Homburg/Saar, Germany.
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View Article and Find Full Text PDFEur J Med Res
September 2025
Department of Zoology, Faculty of Science, Ain Shams University, Abbassia, Cairo, 11566, Egypt.
Nuclear receptors (NRs) are a superfamily of ligand-activated transcription factors that regulate gene expression in response to metabolic, hormonal, and environmental signals. These receptors play a critical role in metabolic homeostasis, inflammation, immune function, and disease pathogenesis, positioning them as key therapeutic targets. This review explores the mechanistic roles of NRs such as PPARs, FXR, LXR, and thyroid hormone receptors (THRs) in regulating lipid and glucose metabolism, energy expenditure, cardiovascular health, and neurodegeneration.
View Article and Find Full Text PDFGenome Biol
September 2025
Department of Clinical Pharmacy, Alfred E. Mann School of Pharmacy and Pharmaceutical Sciences, University of Southern California, Los Angeles, CA, 90089, USA.
Background: Recent advances in high-throughput sequencing technologies have enabled the collection and sharing of a massive amount of omics data, along with its associated metadata-descriptive information that contextualizes the data, including phenotypic traits and experimental design. Enhancing metadata availability is critical to ensure data reusability and reproducibility and to facilitate novel biomedical discoveries through effective data reuse. Yet, incomplete metadata accompanying public omics data may hinder reproducibility and reusability and limit secondary analyses.
View Article and Find Full Text PDFDiagn Pathol
September 2025
Department of Gastrointestinal Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Background: Gastric cancer is one of the most common cancers worldwide, with its prognosis influenced by factors such as tumor clinical stage, histological type, and the patient's overall health. Recent studies highlight the critical role of lymphatic endothelial cells (LECs) in the tumor microenvironment. Perturbations in LEC function in gastric cancer, marked by aberrant activation or damage, disrupt lymphatic fluid dynamics and impede immune cell infiltration, thereby modulating tumor progression and patient prognosis.
View Article and Find Full Text PDFGenome Biol
September 2025
Department of Evolutionary Genetics, Max-Planck Institute for Evolutionary Biology, Plön, Germany.
Background: Most RNA-seq datasets harbor genes with extreme expression levels in some samples. Such extreme outliers are usually treated as technical errors and are removed from the data before further statistical analysis. Here we focus on the patterns of such outlier gene expression to investigate whether they provide insights into the underlying biology.
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