{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Carter EL"],"funding":["United Arab Emirates University","MRC Doctoral Training Partnership at the University of Warwick","United Arab Emirates University (UAEU)"],"pagination":["e0097023"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11575385"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["9(11)"],"pubmed_abstract":["<i>Photorhabdus</i> is a bacterial genus containing both insect and emerging human pathogens. Most insect-restricted species display temperature restriction, unable to grow above 34°C, while <i>Photorhabdus asymbiotica</i> can grow at 37°C to infect mammalian hosts and cause Photorhabdosis. Metabolic adaptations have been proposed to facilitate the survival of this pathogen at higher temperatures, yet the biological mechanisms underlying these are poorly understood. We have reconstructed an extensively manually curated genome-scale metabolic model of <i>P. asymbiotica</i> (iEC1073, BioModels ID MODEL2309110001), validated through <i>in silico</i> gene knockout and nutrient utilization experiments with an excellent agreement between experimental data and model predictions. Integration of iE"],"journal":["mSystems"],"pubmed_title":["A temperature-induced metabolic shift in the emerging human pathogen <i>Photorhabdus asymbiotica</i>."],"pmcid":["PMC11575385"],"funding_grant_id":["G00003688, G00004152","MR/N014294/1"],"pubmed_authors":["Constantinidou C","Alam MT","Waterfield NR","Carter EL"],"additional_accession":[]},"is_claimable":false,"name":"A temperature-induced metabolic shift in the emerging human pathogen <i>Photorhabdus asymbiotica</i>.","description":"<i>Photorhabdus</i> is a bacterial genus containing both insect and emerging human pathogens. Most insect-restricted species display temperature restriction, unable to grow above 34°C, while <i>Photorhabdus asymbiotica</i> can grow at 37°C to infect mammalian hosts and cause Photorhabdosis. Metabolic adaptations have been proposed to facilitate the survival of this pathogen at higher temperatures, yet the biological mechanisms underlying these are poorly understood. We have reconstructed an extensively manually curated genome-scale metabolic model of <i>P. asymbiotica</i> (iEC1073, BioModels ID MODEL2309110001), validated through <i>in silico</i> gene knockout and nutrient utilization experiments with an excellent agreement between experimental data and model predictions. Integration of iE","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Nov","modification":"2026-06-01T15:22:39.767Z","creation":"2025-04-06T10:14:18.806Z"},"accession":"S-EPMC11575385","cross_references":{"pubmed":["39445821"],"doi":["10.1128/msystems.00970-23"]}}