A map of the rubisco biochemical landscape.

التفاصيل البيبلوغرافية
العنوان: A map of the rubisco biochemical landscape.
المؤلفون: Prywes N; Innovative Genomics Institute, University of California; Berkeley, California 94720, USA.; Howard Hughes Medical Institute, University of California; Berkeley, California 94720, USA., Philips NR; Department of Molecular and Cell Biology, University of California; Berkeley, California 94720, USA., Oltrogge LM; Howard Hughes Medical Institute, University of California; Berkeley, California 94720, USA.; Department of Molecular and Cell Biology, University of California; Berkeley, California 94720, USA., Lindner S; University of Heidelberg; 69047 Heidelberg, Germany., Candace Tsai YC; School of Biological Sciences, Nanyang Technological University; Singapore 637551, Singapore., de Pins B; Department of Plant and Environmental Sciences, Weizmann Institute of Science; Rehovot 76100, Israel., Cowan AE; Department of Molecular and Cell Biology, University of California; Berkeley, California 94720, USA.; Joint BioEnergy Institute, Lawrence Berkeley National Laboratory; Emeryville, CA 94608, USA., Taylor-Kearney LJ; Department of Plant and Microbial Biology, University of California, Berkeley; Berkeley, CA 94720, USA., Chang HA; Department of Plant and Microbial Biology, University of California, Berkeley; Berkeley, CA 94720, USA., Hall LN; Biophysics, University of California, Berkeley; Berkeley, CA 94720, USA., Bellieny-Rabelo D; Innovative Genomics Institute, University of California; Berkeley, California 94720, USA.; California Institute for Quantitative Biosciences (QB3), University of California; Berkeley, CA 94720, USA., Nisonoff HM; Center for Computational Biology, University of California, Berkeley; Berkeley, CA, USA., Weissman RF; Department of Molecular and Cell Biology, University of California; Berkeley, California 94720, USA., Flamholz AI; Division of Biology and Biological Engineering, California Institute of Technology; Pasadena, CA 91125., Ding D; Innovative Genomics Institute, University of California; Berkeley, California 94720, USA.; Howard Hughes Medical Institute, University of California; Berkeley, California 94720, USA., Bhatt AY; Department of Molecular and Cell Biology, University of California; Berkeley, California 94720, USA.; School of Medicine, University of California, San Diego; La Jolla, CA 92092, USA., Shih PM; Innovative Genomics Institute, University of California; Berkeley, California 94720, USA.; Department of Plant and Microbial Biology, University of California, Berkeley; Berkeley, CA 94720, USA.; Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory; Berkeley, CA 94720, USA.; Feedstocks Division, Joint BioEnergy Institute; Emeryville, CA 94608, USA., Mueller-Cajar O; School of Biological Sciences, Nanyang Technological University; Singapore 637551, Singapore., Milo R; Department of Plant and Environmental Sciences, Weizmann Institute of Science; Rehovot 76100, Israel., Savage DF; Innovative Genomics Institute, University of California; Berkeley, California 94720, USA.; Howard Hughes Medical Institute, University of California; Berkeley, California 94720, USA.; Department of Molecular and Cell Biology, University of California; Berkeley, California 94720, USA.
المصدر: BioRxiv : the preprint server for biology [bioRxiv] 2024 Apr 11. Date of Electronic Publication: 2024 Apr 11.
نوع المنشور: Preprint
اللغة: English
بيانات الدورية: Country of Publication: United States NLM ID: 101680187 Publication Model: Electronic Cited Medium: Internet NLM ISO Abbreviation: bioRxiv Subsets: PubMed not MEDLINE
مستخلص: Rubisco is the primary CO 2 fixing enzyme of the biosphere yet has slow kinetics. The roles of evolution and chemical mechanism in constraining the sequence landscape of rubisco remain debated. In order to map sequence to function, we developed a massively parallel assay for rubisco using an engineered E. coli where enzyme function is coupled to growth. By assaying >99% of single amino acid mutants across CO 2 concentrations, we inferred enzyme velocity and CO 2 affinity for thousands of substitutions. We identified many highly conserved positions that tolerate mutation and rare mutations that improve CO 2 affinity. These data suggest that non-trivial kinetic improvements are readily accessible and provide a comprehensive sequence-to-function mapping for enzyme engineering efforts.
معلومات مُعتمدة: K99 GM141455 United States GM NIGMS NIH HHS
تواريخ الأحداث: Date Created: 20240422 Latest Revision: 20240429
رمز التحديث: 20240429
مُعرف محوري في PubMed: PMC11030240
DOI: 10.1101/2023.09.27.559826
PMID: 38645011
قاعدة البيانات: MEDLINE
الوصف
DOI:10.1101/2023.09.27.559826