{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Pfennig T"],"funding":["Deutsche Forschungsgemeinschaft","Ministerstvo Školství, Mládeže a Tělovýchovy","European Commission","Nemzeti Kutatási Fejlesztési és Innovációs Hivatal"],"pagination":["e1012445"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11421815"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["20(9)"],"pubmed_abstract":["Cyanobacteria hold great potential to revolutionize conventional industries and farming practices with their light-driven chemical production. To fully exploit their photosynthetic capacity and enhance product yield, it is crucial to investigate their intricate interplay with the environment including the light intensity and spectrum. Mathematical models provide valuable insights for optimizing strategies in this pursuit. In this study, we present an ordinary differential equation-based model for the cyanobacterium Synechocystis sp. PCC 6803 to assess its performance under various light sources, including monochromatic light. Our model can reproduce a variety of physiologically measured quantities, e.g. experimentally reported partitioning of electrons through four main pathways, O2 evolut"],"journal":["PLoS computational biology"],"pubmed_title":["Shedding light on blue-green photosynthesis: A wavelength-dependent mathematical model of photosynthesis in Synechocystis sp. PCC 6803."],"pmcid":["PMC11421815"],"funding_grant_id":["420069095","LM2018123","K 140351","EXC-2048/1 – project ID 390686111","LUAUS24131","FOR 5573—GoPMF - project number 507704013","RRF-2.3.1-21-2022-00014","CZ.02.1.01/0.0/0.0/16 026/0008413"],"pubmed_authors":["Cerveny J","Pfennig T","Nakielski A","Kullmann E","Zavrel T","Ebenhoh O","Matuszynska AB","Bernat G"],"additional_accession":[]},"is_claimable":false,"name":"Shedding light on blue-green photosynthesis: A wavelength-dependent mathematical model of photosynthesis in Synechocystis sp. PCC 6803.","description":"Cyanobacteria hold great potential to revolutionize conventional industries and farming practices with their light-driven chemical production. To fully exploit their photosynthetic capacity and enhance product yield, it is crucial to investigate their intricate interplay with the environment including the light intensity and spectrum. Mathematical models provide valuable insights for optimizing strategies in this pursuit. In this study, we present an ordinary differential equation-based model for the cyanobacterium Synechocystis sp. PCC 6803 to assess its performance under various light sources, including monochromatic light. Our model can reproduce a variety of physiologically measured quantities, e.g. experimentally reported partitioning of electrons through four main pathways, O2 evolut","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Sep","modification":"2025-04-04T02:20:30.327Z","creation":"2025-04-04T02:20:30.327Z"},"accession":"S-EPMC11421815","cross_references":{"pubmed":["39264951"],"doi":["10.1371/journal.pcbi.1012445"]}}