The metabolism of galactose via enzymes of the Leloir pathway: galactokinase, galactose-1-P uridylyltransferase, and UDP galactose-4'-epimerase, is a process that has been conserved from Escherichia coli through humans. Impairment of this pathway in patients results in the disease galactosemia. Despite decades of study, the underlying pathophysiology in galactosemia remains unknown. Here we have defined the functional and metabolic implications of impaired galactose metabolism in yeast, by asking two questions: (1) What is the impact of loss of each of the three Leloir enzymes on the ability of cells to metabolize galactose, and on their sensitivity to galactose, and (2) what is the relationship between gal-1P and galactose-sensitivity in yeast? Our results demonstrate that only transferase-null cells are able to deplete their medium of galactose; deletion of kinase or epimerase halts this process. In contrast, only kinase-null cultures grow well in glycerol/ethanol medium despite the addition of galactose; both transferase and epimerase-null yeast arrest growth under these conditions. Indeed, epimerase-null yeast arrest growth at galactose concentrations 10-fold lower than do their transferase-null counterparts. Secondary deletion of kinase relieves growth arrest in both strains. Finally, rather than a continuous relationship between gal-1P and growth arrest, we observed a threshold level of gal-1P (approximately 10 nmol/mg cell DM) above which both transferase-null and epimerase-null cultures could not grow. These results both confirm and significantly extend prior knowledge of galactose metabolism in yeast, and set the stage for future studies into the mediators and mechanism of Leloir-impaired galactose sensitivity in eukaryotes.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.ymgme.2004.07.005DOI Listing

Publication Analysis

Top Keywords

galactose sensitivity
12
galactose
10
leloir pathway
8
galactose metabolism
8
metabolism yeast
8
relationship gal-1p
8
deletion kinase
8
cultures grow
8
epimerase-null yeast
8
yeast arrest
8

Similar Publications

Comparative Transcriptome Analyses Reveal the Mechanisms Underlying Waterlogging Tolerance in Barley.

Plants (Basel)

December 2024

Key Laboratory of Plant Functional Genomics of the Ministry of Education, Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding, Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Joint International Research Laboratory of Agriculture and Agri-Product Safetyof Ministry of Education of China, Yangzhou University, Yangzhou 225009, China.

Waterlogging is becoming a global issue, affecting crop growth and yield in low-lying rainfed areas. A DH line, TamF169, showing superior waterlogging tolerance, and its waterlogging-sensitive parent, Franklin, were used to conduct transcriptome analyses. The results showed that 2209 and 2578 differentially expressed genes (DEGs) in Franklin and 1997 and 1709 DEGs in TamF169 were detected by comparing gene expression levels under control and waterlogging after 4 and 8 days, respectively, with 392 and 257 DEGs being specific to TamF169 after 4 and 8 days under waterlogging, respectively.

View Article and Find Full Text PDF

Metagenomic next-generation sequencing and galactomannan testing for the diagnosis of invasive pulmonary aspergillosis.

Sci Rep

December 2024

Department of Respiratory and Critical Care Medicine, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Weiwu Road No. 7, Zhengzhou, 450003, Henan, China.

To evaluate the diagnostic value of metagenomic next-generation sequencing (mNGS) and galactomannan (GM) testing in invasive pulmonary aspergillosis (IPA) and to compare mNGS with other diagnostic approaches (serum/bronchoalveolar lavage fluid (BALF)-GM and conventional microbiological tests (CMTs) including sputum smears and culture, BALF fungal culture, and bronchial brushing). In all, 237 patients were enrolled in this retrospective study, including 120 patients with IPA and 117 with non-IPA pulmonary infections treated at Henan Provincial People's Hospital between June 2021 and February 2024. The diagnostic performance of mNGS was compared to conventional diagnostic methods including serum GM, BALF-GM, sputum smear microscopy, sputum culture, bronchial brushings, and BALF culture.

View Article and Find Full Text PDF

Multi-Omics Analysis Provides Insights into Green Soybean in Response to Cold Stress.

Metabolites

December 2024

Hainan Key Laboratory of Crop Genetics and Breeding, Institute of Food Crops, Hainan Academy of Agricultural Sciences, Haikou 571100, China.

Green soybean ( (L.) Merrill) is a highly nutritious food that is a good source of protein and fiber. However, it is sensitive to low temperatures during the growing season, and enhancing cold tolerance has become a research hotspot for breeding improvement.

View Article and Find Full Text PDF

Effects of wildfire ash on the fatty acid and sugar profiles of bivalves - A comparative study of a freshwater and a marine species.

Environ Pollut

December 2024

CESAM, Centre for Environmental and Marine Studies, Department of Biology, University of Aveiro, 3810-193, Aveiro, Portugal; CFE, Centre for Functional Ecology: Science for People & Planet, Department of Life Sciences, University of Coimbra, 3000-456, Coimbra, Portugal.

Wildfires can impact both freshwater and marine ecosystems through post-fire runoff, but its effects on bivalves, particularly those living in marine habitats, remain largely overlooked. While evidence exists that wildfire ash can alter the fatty acid (FA) and sugar profiles of aquatic biota, its influence on the biochemical profiles of bivalves have not been addressed to date. This study aimed to assess the effects of ash exposure on the FA and sugar profiles of two bivalve species used for human consumption: a freshwater clam (Corbicula fluminea) and a marine bivalve (Cerastoderma edule), additionally evaluating potential effects on their nutritional value.

View Article and Find Full Text PDF
Article Synopsis
  • Pancreatic ductal adenocarcinoma (PDAC) is challenging to detect early, as current biomarkers like carbohydrate antigen 19-9 are not sufficient for reliable diagnosis.
  • A study analyzed serum samples from 88 subjects, including PDAC patients and controls, using advanced multi-omics methods to identify molecular changes associated with PDAC.
  • The research found 505 altered proteins, 186 metabolites, and 33 lipids; notably, it developed a machine learning model resulting in a 38 biomarker signature that could improve early detection of PDAC.
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!