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Banda DM, Pereira JH, Liu AK, Orr DJ, Hammel M, He C, Parry MAJ, Carmo-Silva E, Adams PD, Banfield JF, Shih PM. Novel bacterial clade reveals origin of form I Rubisco. NATURE PLANTS 2020; 6:1158-1166. [PMID: 32868887 DOI: 10.1038/s41477-020-00762-4] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/30/2019] [Accepted: 07/28/2020] [Indexed: 05/12/2023]
Abstract
Rubisco sustains the biosphere through the fixation of CO2 into biomass. In plants and cyanobacteria, form I Rubisco is structurally comprised of large and small subunits, whereas all other Rubisco forms lack small subunits. The rise of the form I complex through the innovation of small subunits represents a key, yet poorly understood, transition in Rubisco's evolution. Through metagenomic analyses, we discovered a previously uncharacterized clade sister to form I Rubisco that evolved without small subunits. This clade diverged before the evolution of cyanobacteria and the origin of the small subunit; thus, it provides a unique reference point to advance our understanding of form I Rubisco evolution. Structural and kinetic data presented here reveal how a proto-form I Rubisco assembled and functioned without the structural stability imparted from small subunits. Our findings provide insight into a key evolutionary transition of the most abundant enzyme on Earth and the predominant entry point for nearly all global organic carbon.
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Affiliation(s)
- Douglas M Banda
- Department of Plant Biology, University of California, Davis, Davis, CA, USA
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Jose H Pereira
- Technology Division, Joint BioEnergy Institute, Emeryville, CA, USA
- Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Albert K Liu
- Department of Plant Biology, University of California, Davis, Davis, CA, USA
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Douglas J Orr
- Lancaster Environment Centre, Lancaster University, Lancaster, UK
| | - Michal Hammel
- Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Christine He
- Department of Earth and Planetary Science, University of California, Berkeley, Berkeley, CA, USA
| | - Martin A J Parry
- Lancaster Environment Centre, Lancaster University, Lancaster, UK
| | | | - Paul D Adams
- Technology Division, Joint BioEnergy Institute, Emeryville, CA, USA
- Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Jillian F Banfield
- Department of Earth and Planetary Science, University of California, Berkeley, Berkeley, CA, USA.
- Department of Environmental Science, Policy, and Management, University of California, Berkeley, Berkeley, CA, USA.
- Innovative Genomics Institute, University of California, Berkeley, Berkeley, CA, USA.
- Chan Zuckerberg Biohub, San Francisco, CA, USA.
| | - Patrick M Shih
- Department of Plant Biology, University of California, Davis, Davis, CA, USA.
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
- Feedstocks Division, Joint BioEnergy Institute, Emeryville, CA, USA.
- Genome Center, University of California, Davis, Davis, CA, USA.
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Holder A, Simon J, Strauser J, Taylor J, Shibberu Y. Dynamic Programming Used to Align Protein Structures with a Spectrum Is Robust. BIOLOGY 2013; 2:1296-310. [PMID: 24833226 PMCID: PMC4009789 DOI: 10.3390/biology2041296] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/03/2013] [Revised: 10/23/2013] [Accepted: 11/08/2013] [Indexed: 11/16/2022]
Abstract
Several efficient algorithms to conduct pairwise comparisons among large databases of protein structures have emerged in the recent literature. The central theme is the design of a measure between the Cα atoms of two protein chains, from which dynamic programming is used to compute an alignment. The efficiency and efficacy of these algorithms allows large-scale computational studies that would have been previously impractical. The computational study herein shows that the structural alignment algorithm eigen-decomposition alignment with the spectrum (EIGAs) is robust against both parametric and structural variation.
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Affiliation(s)
- Allen Holder
- Department of Mathematics, Rose-Hulman Institute of Technology, Terre Haute, IN 47803, USA.
| | - Jacqueline Simon
- Department of Mathematics, Rose-Hulman Institute of Technology, Terre Haute, IN 47803, USA.
| | | | - Jonathan Taylor
- Department of Mathematics, Rose-Hulman Institute of Technology, Terre Haute, IN 47803, USA.
| | - Yosi Shibberu
- Department of Mathematics, Rose-Hulman Institute of Technology, Terre Haute, IN 47803, USA.
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