1
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Schulz L, Zarzycki J, Steinchen W, Hochberg GKA, Erb TJ. Layered entrenchment maintains essentiality in the evolution of Form I Rubisco complexes. EMBO J 2025; 44:269-280. [PMID: 39558108 PMCID: PMC11696622 DOI: 10.1038/s44318-024-00311-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2024] [Revised: 10/23/2024] [Accepted: 10/28/2024] [Indexed: 11/20/2024] Open
Abstract
Protein complexes composed of strictly essential subunits are abundant in nature and often arise through the gradual complexification of ancestral precursor proteins. Essentiality can arise through the accumulation of changes that are tolerated in the complex state but would be deleterious for the standalone complex components. While this theoretical framework to explain how essentiality arises has been proposed long ago, it is unclear which factors cause essentiality to persist over evolutionary timescales. In this work we show that the central enzyme of photosynthesis, ribulose-1,5-bisphosphate carboxylase/oxygenase (Rubisco), can easily start to depend on a newly recruited interaction partner through multiple, genetically distinct mechanisms that affect stability, solubility, and catalysis. We demonstrate that layering multiple mechanisms of essentiality can lead to its persistence, even if any given mechanism reverts. More broadly, our work highlights that new interaction partners can drastically re-shape which substitutions are tolerated in the proteins they are recruited into. This can lead to the evolution of multilayered essentiality through the exploration of areas of sequence space that are only accessible in the complex state.
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Affiliation(s)
- Luca Schulz
- Department of Biochemistry & Synthetic Metabolism, Max Planck Institute for Terrestrial Microbiology, Karl-von-Frisch Straße 10, 35043, Marburg, Germany
| | - Jan Zarzycki
- Department of Biochemistry & Synthetic Metabolism, Max Planck Institute for Terrestrial Microbiology, Karl-von-Frisch Straße 10, 35043, Marburg, Germany
| | - Wieland Steinchen
- Center for Synthetic Microbiology (SYNMIKRO), Philipps University Marburg, Karl-von-Frisch Straße 14, 35043, Marburg, Germany
- Department of Chemistry, Philipps University Marburg, Karl-von-Frisch Straße 1, 35043, Marburg, Germany
| | - Georg K A Hochberg
- Department of Biochemistry & Synthetic Metabolism, Max Planck Institute for Terrestrial Microbiology, Karl-von-Frisch Straße 10, 35043, Marburg, Germany.
- Center for Synthetic Microbiology (SYNMIKRO), Philipps University Marburg, Karl-von-Frisch Straße 14, 35043, Marburg, Germany.
- Department of Chemistry, Philipps University Marburg, Karl-von-Frisch Straße 1, 35043, Marburg, Germany.
| | - Tobias J Erb
- Department of Biochemistry & Synthetic Metabolism, Max Planck Institute for Terrestrial Microbiology, Karl-von-Frisch Straße 10, 35043, Marburg, Germany.
- Center for Synthetic Microbiology (SYNMIKRO), Philipps University Marburg, Karl-von-Frisch Straße 14, 35043, Marburg, Germany.
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2
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Fernie AR, de Vries S, de Vries J. Evolution of plant metabolism: the state-of-the-art. Philos Trans R Soc Lond B Biol Sci 2024; 379:20230347. [PMID: 39343029 PMCID: PMC11449224 DOI: 10.1098/rstb.2023.0347] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Revised: 07/11/2024] [Accepted: 07/12/2024] [Indexed: 10/01/2024] Open
Abstract
Immense chemical diversity is one of the hallmark features of plants. This chemo-diversity is mainly underpinned by a highly complex and biodiverse biochemical machinery. Plant metabolic enzymes originated and were inherited from their eukaryotic and prokaryotic ancestors and further diversified by the unprecedentedly high rates of gene duplication and functionalization experienced in land plants. Unlike prokaryotic microbes, which display frequent horizontal gene transfer events and multiple inputs of energy and organic carbon, land plants predominantly rely on organic carbon generated from CO2 and have experienced relatively few gene transfers during their recent evolutionary history. As such, plant metabolic networks have evolved in a stepwise manner using existing networks as a starting point and under various evolutionary constraints. That said, until recently, the evolution of only a handful of metabolic traits had been extensively investigated and as such, the evolution of metabolism has received a fraction of the attention of, the evolution of development, for example. Advances in metabolomics and next-generation sequencing have, however, recently led to a deeper understanding of how a wide range of plant primary and specialized (secondary) metabolic pathways have evolved both as a consequence of natural selection and of domestication and crop improvement processes. This article is part of the theme issue 'The evolution of plant metabolism'.
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Affiliation(s)
- Alisdair R. Fernie
- Max-Planck-Institute of Molecular Plant Physiology, Am Mühlenberg 1, Potsdam-Golm14476, Germany
| | - Sophie de Vries
- Department of Applied Bioinformatics, University of Goettingen, Institute of Microbiology and Genetics, Goldschmidtstr. 1, Goettingen37077, Germany
| | - Jan de Vries
- Department of Applied Bioinformatics, University of Goettingen, Institute of Microbiology and Genetics, Goldschmidtstr. 1, Goettingen37077, Germany
- University of Goettingen, Campus Institute Data Science (CIDAS), Goldschmidstr. 1, Goettingen37077, Germany
- Department of Applied Bioinformatics, University of Goettingen, Goettingen Center for Molecular Biosciences (GZMB), Goldschmidtstr. 1, Goettingen37077, Germany
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3
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Middendorf L, Ravi Iyengar B, Eicholt LA. Sequence, Structure, and Functional Space of Drosophila De Novo Proteins. Genome Biol Evol 2024; 16:evae176. [PMID: 39212966 PMCID: PMC11363682 DOI: 10.1093/gbe/evae176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/29/2024] [Indexed: 09/04/2024] Open
Abstract
During de novo emergence, new protein coding genes emerge from previously nongenic sequences. The de novo proteins they encode are dissimilar in composition and predicted biochemical properties to conserved proteins. However, functional de novo proteins indeed exist. Both identification of functional de novo proteins and their structural characterization are experimentally laborious. To identify functional and structured de novo proteins in silico, we applied recently developed machine learning based tools and found that most de novo proteins are indeed different from conserved proteins both in their structure and sequence. However, some de novo proteins are predicted to adopt known protein folds, participate in cellular reactions, and to form biomolecular condensates. Apart from broadening our understanding of de novo protein evolution, our study also provides a large set of testable hypotheses for focused experimental studies on structure and function of de novo proteins in Drosophila.
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Affiliation(s)
- Lasse Middendorf
- Institute for Evolution and Biodiversity, University of Muenster, Huefferstrasse 1, 48149 Muenster, Germany
| | - Bharat Ravi Iyengar
- Institute for Evolution and Biodiversity, University of Muenster, Huefferstrasse 1, 48149 Muenster, Germany
| | - Lars A Eicholt
- Institute for Evolution and Biodiversity, University of Muenster, Huefferstrasse 1, 48149 Muenster, Germany
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4
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Hvorecny KL. Identifying nature's smallest fractals. Nat Struct Mol Biol 2024; 31:1147-1149. [PMID: 39079970 DOI: 10.1038/s41594-024-01368-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/17/2024]
Affiliation(s)
- Kelli L Hvorecny
- Department of Biochemistry, University of Washington, Seattle, WA, USA.
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5
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Badonyi M, Marsh JA. Hallmarks and evolutionary drivers of cotranslational protein complex assembly. FEBS J 2024; 291:3557-3567. [PMID: 37202910 DOI: 10.1111/febs.16869] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Revised: 05/11/2023] [Accepted: 05/18/2023] [Indexed: 05/20/2023]
Abstract
Recent discoveries have highlighted the prevalence of cotranslational assembly in proteomes, revealing a range of mechanisms that enables the assembly of protein complex subunits on the ribosome. Structural analyses have uncovered emergent properties that may inherently control whether a subunit undergoes cotranslational assembly. However, the evolutionary paths that have yielded such complexes over an extended timescale remain largely unclear. In this review, we reflect on historical experiments that contributed to the field, including breakthroughs that have made possible the proteome-wide detection of cotranslational assembly, and the technical challenges yet to be overcome. We introduce a simple framework that encapsulates the hallmarks of cotranslational assembly and discuss how results from new experiments are shaping our view of the mechanistic, structural and evolutionary factors driving the phenomenon.
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Affiliation(s)
- Mihaly Badonyi
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, UK
| | - Joseph A Marsh
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, UK
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6
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Cisneros AF, Nielly-Thibault L, Mallik S, Levy ED, Landry CR. Mutational biases favor complexity increases in protein interaction networks after gene duplication. Mol Syst Biol 2024; 20:549-572. [PMID: 38499674 PMCID: PMC11066126 DOI: 10.1038/s44320-024-00030-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Revised: 02/27/2024] [Accepted: 02/28/2024] [Indexed: 03/20/2024] Open
Abstract
Biological systems can gain complexity over time. While some of these transitions are likely driven by natural selection, the extent to which they occur without providing an adaptive benefit is unknown. At the molecular level, one example is heteromeric complexes replacing homomeric ones following gene duplication. Here, we build a biophysical model and simulate the evolution of homodimers and heterodimers following gene duplication using distributions of mutational effects inferred from available protein structures. We keep the specific activity of each dimer identical, so their concentrations drift neutrally without new functions. We show that for more than 60% of tested dimer structures, the relative concentration of the heteromer increases over time due to mutational biases that favor the heterodimer. However, allowing mutational effects on synthesis rates and differences in the specific activity of homo- and heterodimers can limit or reverse the observed bias toward heterodimers. Our results show that the accumulation of more complex protein quaternary structures is likely under neutral evolution, and that natural selection would be needed to reverse this tendency.
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Affiliation(s)
- Angel F Cisneros
- Département de biochimie, de microbiologie et de bio-informatique, Faculté des sciences et de génie, Université Laval, G1V 0A6, Québec, Canada
- Institut de biologie intégrative et des systèmes, Université Laval, G1V 0A6, Québec, Canada
- PROTEO, Le regroupement québécois de recherche sur la fonction, l'ingénierie et les applications des protéines, Université Laval, G1V 0A6, Québec, Canada
- Centre de recherche sur les données massives, Université Laval, G1V 0A6, Québec, Canada
- Department of Chemical and Structural Biology, Weizmann Institute of Science, 7610001, Rehovot, Israel
| | - Lou Nielly-Thibault
- Institut de biologie intégrative et des systèmes, Université Laval, G1V 0A6, Québec, Canada
- PROTEO, Le regroupement québécois de recherche sur la fonction, l'ingénierie et les applications des protéines, Université Laval, G1V 0A6, Québec, Canada
- Centre de recherche sur les données massives, Université Laval, G1V 0A6, Québec, Canada
- Département de biologie, Faculté des sciences et de génie, Université Laval, G1V 0A6, Québec, Canada
| | - Saurav Mallik
- Department of Chemical and Structural Biology, Weizmann Institute of Science, 7610001, Rehovot, Israel
| | - Emmanuel D Levy
- Department of Chemical and Structural Biology, Weizmann Institute of Science, 7610001, Rehovot, Israel
| | - Christian R Landry
- Département de biochimie, de microbiologie et de bio-informatique, Faculté des sciences et de génie, Université Laval, G1V 0A6, Québec, Canada.
- Institut de biologie intégrative et des systèmes, Université Laval, G1V 0A6, Québec, Canada.
- PROTEO, Le regroupement québécois de recherche sur la fonction, l'ingénierie et les applications des protéines, Université Laval, G1V 0A6, Québec, Canada.
- Centre de recherche sur les données massives, Université Laval, G1V 0A6, Québec, Canada.
- Département de biologie, Faculté des sciences et de génie, Université Laval, G1V 0A6, Québec, Canada.
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7
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Yuasa HJ. Unusual Evolution of Cephalopod Tryptophan Indole-Lyases. J Mol Evol 2023; 91:912-921. [PMID: 38007709 DOI: 10.1007/s00239-023-10144-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Accepted: 11/07/2023] [Indexed: 11/28/2023]
Abstract
Tryptophan indole-lyase (TIL), a pyridoxal-5-phosphate-dependent enzyme, catalyzes the hydrolysis of L-tryptophan (L-Trp) to indole and ammonium pyruvate. TIL is widely distributed among bacteria and bacterial TILs consist of a D2-symmetric homotetramer. On the other hand, TIL genes are also present in several metazoans. Cephalopods have two TILs, TILα and TILβ, which are believed to be derived from a gene duplication that occurred before octopus and squid diverged. However, both TILα and TILβ individually contain disruptive amino acid substitutions for TIL activity, and neither was active when expressed alone. When TILα and TILβ were coexpressed, however, they formed a heterotetramer that exhibited low TIL activity. The loss of TIL activity of the heterotetramer following site-directed mutagenesis strongly suggests that the active heterotetramer contains the TILα/TILβ heterodimer. Metazoan TILs generally have lower kcat values for L-Trp than those of bacterial TILs, but such low TIL activity may be rather suitable for metazoan physiology, where L-Trp is in high demand. Therefore, reduced activity may have been a less likely target for purifying selection in the evolution of cephalopod TILs. Meanwhile, the unusual evolution of cephalopod TILs may indicate the difficulty of post-gene duplication evolution of enzymes with catalytic sites contributed by multiple subunits, such as TIL.
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Affiliation(s)
- Hajime Julie Yuasa
- Laboratory of Biochemistry, Department of Chemistry and Biotechnology, Faculty of Science and Technology, National University Corporation Kochi University, Kochi, 780-8520, Japan.
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8
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Steube N, Moldenhauer M, Weiland P, Saman D, Kilb A, Ramírez Rojas AA, Garg SG, Schindler D, Graumann PL, Benesch JLP, Bange G, Friedrich T, Hochberg GKA. Fortuitously compatible protein surfaces primed allosteric control in cyanobacterial photoprotection. Nat Ecol Evol 2023; 7:756-767. [PMID: 37012377 PMCID: PMC10172135 DOI: 10.1038/s41559-023-02018-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Accepted: 02/21/2023] [Indexed: 04/05/2023]
Abstract
Highly specific interactions between proteins are a fundamental prerequisite for life, but how they evolve remains an unsolved problem. In particular, interactions between initially unrelated proteins require that they evolve matching surfaces. It is unclear whether such surface compatibilities can only be built by selection in small incremental steps, or whether they can also emerge fortuitously. Here, we used molecular phylogenetics, ancestral sequence reconstruction and biophysical characterization of resurrected proteins to retrace the evolution of an allosteric interaction between two proteins that act in the cyanobacterial photoprotection system. We show that this interaction between the orange carotenoid protein (OCP) and its unrelated regulator, the fluorescence recovery protein (FRP), evolved when a precursor of FRP was horizontally acquired by cyanobacteria. FRP's precursors could already interact with and regulate OCP even before these proteins first encountered each other in an ancestral cyanobacterium. The OCP-FRP interaction exploits an ancient dimer interface in OCP, which also predates the recruitment of FRP into the photoprotection system. Together, our work shows how evolution can fashion complex regulatory systems easily out of pre-existing components.
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Affiliation(s)
- Niklas Steube
- Max Planck Institute for Terrestrial Microbiology, Marburg, Germany
| | - Marcus Moldenhauer
- Institute of Chemistry PC14, Technische Universität Berlin, Berlin, Germany
| | - Paul Weiland
- Department of Chemistry, University of Marburg, Marburg, Germany
- Center for Synthetic Microbiology (SYNMIKRO), Marburg, Germany
| | - Dominik Saman
- Department of Chemistry, Oxford University, Oxford, UK
- Kavli Institute for Nanoscience Discovery, Oxford University, Oxford, UK
| | - Alexandra Kilb
- Department of Chemistry, University of Marburg, Marburg, Germany
- Center for Synthetic Microbiology (SYNMIKRO), Marburg, Germany
| | | | - Sriram G Garg
- Max Planck Institute for Terrestrial Microbiology, Marburg, Germany
| | - Daniel Schindler
- Max Planck Institute for Terrestrial Microbiology, Marburg, Germany
- Center for Synthetic Microbiology (SYNMIKRO), Marburg, Germany
| | - Peter L Graumann
- Department of Chemistry, University of Marburg, Marburg, Germany
- Center for Synthetic Microbiology (SYNMIKRO), Marburg, Germany
| | - Justin L P Benesch
- Department of Chemistry, Oxford University, Oxford, UK
- Kavli Institute for Nanoscience Discovery, Oxford University, Oxford, UK
| | - Gert Bange
- Department of Chemistry, University of Marburg, Marburg, Germany
- Center for Synthetic Microbiology (SYNMIKRO), Marburg, Germany
| | - Thomas Friedrich
- Institute of Chemistry PC14, Technische Universität Berlin, Berlin, Germany.
| | - Georg K A Hochberg
- Max Planck Institute for Terrestrial Microbiology, Marburg, Germany.
- Department of Chemistry, University of Marburg, Marburg, Germany.
- Center for Synthetic Microbiology (SYNMIKRO), Marburg, Germany.
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9
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Dadras A, Rieseberg TP, Zegers JMS, Fürst-Jansen JMR, Irisarri I, de Vries J, de Vries S. Accessible versatility underpins the deep evolution of plant specialized metabolism. PHYTOCHEMISTRY REVIEWS : PROCEEDINGS OF THE PHYTOCHEMICAL SOCIETY OF EUROPE 2023; 24:13-26. [PMID: 39991433 PMCID: PMC11842411 DOI: 10.1007/s11101-023-09863-2] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Accepted: 03/07/2023] [Indexed: 02/25/2025]
Abstract
The evolution of several hallmark traits of land plants is underpinned by phytochemical innovations. The specialized metabolism of plants can appear like a teeming chaos that has yielded an ungraspable array of chemodiversity. Yet, this diversity is the result of evolutionary processes including neutral evolution, drift, and selection that have shaped the metabolomic networks. Deciphering the evolutionary history of the specialized metabolome in the context of plant terrestrialization has only just begun. Studies on phytochemistry of model organisms and crop plants enabled the sketch of a blueprint for the biochemical landscape of land plants and a good idea on the diversity that can be explored. Evolutionary metabolomics has in the past been successfully used to identify traits that were critical for domestication of angiosperms or to unravel key innovations in land plants. Owing to recent advances in the study of non-model land plants and their close streptophyte algal relatives we can now begin to appreciate the variation of metabolic networks across the green lineage-and understand convergent solutions to similar environmental challenges and effects that plant terrestrialization had on these networks. Here, we highlight the significant progress made with regard to identifying metabolomic diversity by adding non-model organisms to the equation. We discuss the role of neutral evolution in the context of metabolomic diversity and the effects that environmental challenges had on the lineage-specific specialized metabolism from an evolutionary point of view.
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Affiliation(s)
- Armin Dadras
- Department of Applied Bioinformatics, University of Goettingen, Institute for Microbiology and Genetics, Goldschmidtstr. 1, 37077 Göttingen, Germany
| | - Tim P. Rieseberg
- Department of Applied Bioinformatics, University of Goettingen, Institute for Microbiology and Genetics, Goldschmidtstr. 1, 37077 Göttingen, Germany
| | - Jaccoline M. S. Zegers
- Department of Applied Bioinformatics, University of Goettingen, Institute for Microbiology and Genetics, Goldschmidtstr. 1, 37077 Göttingen, Germany
| | - Janine M. R. Fürst-Jansen
- Department of Applied Bioinformatics, University of Goettingen, Institute for Microbiology and Genetics, Goldschmidtstr. 1, 37077 Göttingen, Germany
| | - Iker Irisarri
- Department of Applied Bioinformatics, University of Goettingen, Institute for Microbiology and Genetics, Goldschmidtstr. 1, 37077 Göttingen, Germany
- University of Goettingen, Campus Institute Data Science (CIDAS), Goldschmidtstr. 1, 37077 Göttingen, Germany
| | - Jan de Vries
- Department of Applied Bioinformatics, University of Goettingen, Institute for Microbiology and Genetics, Goldschmidtstr. 1, 37077 Göttingen, Germany
- University of Goettingen, Campus Institute Data Science (CIDAS), Goldschmidtstr. 1, 37077 Göttingen, Germany
- Department of Applied Bioinformatics, University of Goettingen, Goettingen Center for Molecular Biosciences (GZMB), Goldschmidtstr. 1, 37077 Göttingen, Germany
| | - Sophie de Vries
- Department of Applied Bioinformatics, University of Goettingen, Institute for Microbiology and Genetics, Goldschmidtstr. 1, 37077 Göttingen, Germany
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10
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Queiroz JPF, Lourenzoni MR, Rocha BAM. Structural evolution of an amphibian-specific globin: A computational evolutionary biochemistry approach. COMPARATIVE BIOCHEMISTRY AND PHYSIOLOGY. PART D, GENOMICS & PROTEOMICS 2023; 45:101055. [PMID: 36566682 DOI: 10.1016/j.cbd.2022.101055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Revised: 12/14/2022] [Accepted: 12/15/2022] [Indexed: 12/24/2022]
Abstract
Studies on the globin family are continuously revealing insights into the mechanisms of gene and protein evolution. The rise of a new globin gene type in Pelobatoidea and Neobatrachia (Amphibia:Anura) from an α-globin precursor provides the opportunity to investigate the genetic and physical mechanisms underlying the origin of new protein structural and functional properties. This amphibian-specific globin (globin A/GbA) discovered in the heart of Rana catesbeiana is a monomer. As the ancestral oligomeric state of α-globins is a homodimer, we inferred that the ancestral state was lost somewhere in the GbA lineage. Here, we combined computational molecular evolution with structural bioinformatics to determine the extent to which the loss of the homodimeric state is pervasive in the GbA clade. We also characterized the loci of GbA genes in Bufo bufo. We found two GbA clades in Neobatrachia. One was deleted in Ranidae, but retained and expanded to yield a new globin cluster in Bufonidae species. Loss of the ancestral oligomeric state seems to be pervasive in the GbA clade. However, a taxonomic sampling that includes more Pelobatoidea, as well as early Neobatrachia, lineages would be necessary to determine the oligomeric state of the last common ancestor of all GbA. The evidence presented here points out a possible loss of oligomerization in Pelobatoidea GbA as a result of amino acid substitutions that weaken the homodimeric state. In contrast, the loss of oligomerization in both Neobatrachia GbA clades was linked to independent deletions that disrupted many packing contacts at the homodimer interface.
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Affiliation(s)
- João Pedro Fernandes Queiroz
- Laboratorio de Biocristalografia - LABIC, Departamento de Bioquimica e Biologia Molecular, Universidade Federal do Ceara, Campus do Pici s.n., bloco 907, Av. Mister Hull, Fortaleza, Ceara, 60440-970, Brazil.
| | - Marcos Roberto Lourenzoni
- Protein Engineering and Health Solutions Group - GEPeSS Fundacao Oswaldo Cruz - Ceara, Eusébio, Ceara, 60175-047, Brazil.
| | - Bruno Anderson Matias Rocha
- Laboratorio de Biocristalografia - LABIC, Departamento de Bioquimica e Biologia Molecular, Universidade Federal do Ceara, Campus do Pici s.n., bloco 907, Av. Mister Hull, Fortaleza, Ceara, 60440-970, Brazil.
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11
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Glazenburg MM, Laan L. Complexity and self-organization in the evolution of cell polarization. J Cell Sci 2023; 136:jcs259639. [PMID: 36691920 DOI: 10.1242/jcs.259639] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023] Open
Abstract
Cellular life exhibits order and complexity, which typically increase over the course of evolution. Cell polarization is a well-studied example of an ordering process that breaks the internal symmetry of a cell by establishing a preferential axis. Like many cellular processes, polarization is driven by self-organization, meaning that the macroscopic pattern emerges as a consequence of microscopic molecular interactions at the biophysical level. However, the role of self-organization in the evolution of complex protein networks remains obscure. In this Review, we provide an overview of the evolution of polarization as a self-organizing process, focusing on the model species Saccharomyces cerevisiae and its fungal relatives. Moreover, we use this model system to discuss how self-organization might relate to evolutionary change, offering a shift in perspective on evolution at the microscopic scale.
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Affiliation(s)
- Marieke M Glazenburg
- Department of Bionanoscience, Kavli Institute of Nanoscience, Faculty of Applied Sciences, Delft University of Technology, 2629 HZ Delft, The Netherlands
| | - Liedewij Laan
- Department of Bionanoscience, Kavli Institute of Nanoscience, Faculty of Applied Sciences, Delft University of Technology, 2629 HZ Delft, The Netherlands
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12
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East NJ, Clifton BE, Jackson CJ, Kaczmarski JA. The role of oligomerization in the optimization of cyclohexadienyl dehydratase conformational dynamics and catalytic activity. Protein Sci 2022; 31:e4510. [PMID: 36382881 PMCID: PMC9703590 DOI: 10.1002/pro.4510] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 11/07/2022] [Accepted: 11/11/2022] [Indexed: 04/19/2025]
Abstract
The emergence of oligomers is common during the evolution and diversification of protein families, yet the selective advantage of oligomerization is often cryptic or unclear. Oligomerization can involve the formation of isologous head-to-head interfaces (e.g., in symmetrical dimers) or heterologous head-to-tail interfaces (e.g., in cyclic complexes), the latter of which is less well studied and understood. In this work, we retrace the emergence of the trimeric form of cyclohexadienyl dehydratase from Pseudomonas aeruginosa (PaCDT) by introducing residues that form the PaCDT trimer-interfaces into AncCDT-5 (a monomeric reconstructed ancestor of PaCDT). We find that single interface mutations can switch the oligomeric state of the variants and that trimerization corresponds with a reduction in the KM value of the enzyme from a promiscuous level to the physiologically relevant range. In addition, we find that removal of a C-terminal extension present in PaCDT leads to a variant with reduced catalytic activity, indicating that the C-terminal region has a role in tuning enzymatic activity. We show that these observations can be rationalized at the structural and dynamic levels, with trimerization and C-terminal extension leading to reduced sampling of non-catalytic conformational substates in molecular dynamics simulations. Overall, this work provides insight into how neutral sampling of distinct oligomeric states along an evolutionary trajectory can facilitate the evolution and optimization of enzyme function.
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Affiliation(s)
- Nicholas J. East
- ARC Centre of Excellence in Synthetic BiologyAustralian National UniversityCanberraAustralia
- Research School of BiologyAustralian National UniversityActonAustralian Capital TerritoryAustralia
| | - Ben E. Clifton
- Protein Engineering and Evolution UnitOkinawa Institute of Science and TechnologyOkinawaJapan
| | - Colin J. Jackson
- ARC Centre of Excellence in Synthetic BiologyAustralian National UniversityCanberraAustralia
- Research School of BiologyAustralian National UniversityActonAustralian Capital TerritoryAustralia
- ARC Centre of Excellence for Innovations in Peptide and Protein Science, Research School of ChemistryAustralian National UniversityActonAustralian Capital TerritoryAustralia
| | - Joe A. Kaczmarski
- ARC Centre of Excellence in Synthetic BiologyAustralian National UniversityCanberraAustralia
- Research School of BiologyAustralian National UniversityActonAustralian Capital TerritoryAustralia
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Pillai AS, Hochberg GK, Thornton JW. Simple mechanisms for the evolution of protein complexity. Protein Sci 2022; 31:e4449. [PMID: 36107026 PMCID: PMC9601886 DOI: 10.1002/pro.4449] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Revised: 09/01/2022] [Accepted: 09/10/2022] [Indexed: 01/26/2023]
Abstract
Proteins are tiny models of biological complexity: specific interactions among their many amino acids cause proteins to fold into elaborate structures, assemble with other proteins into higher-order complexes, and change their functions and structures upon binding other molecules. These complex features are classically thought to evolve via long and gradual trajectories driven by persistent natural selection. But a growing body of evidence from biochemistry, protein engineering, and molecular evolution shows that naturally occurring proteins often exist at or near the genetic edge of multimerization, allostery, and even new folds, so just one or a few mutations can trigger acquisition of these properties. These sudden transitions can occur because many of the physical properties that underlie these features are present in simpler proteins as fortuitous by-products of their architecture. Moreover, complex features of proteins can be encoded by huge arrays of sequences, so they are accessible from many different starting points via many possible paths. Because the bridges to these features are both short and numerous, random chance can join selection as a key factor in explaining the evolution of molecular complexity.
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Affiliation(s)
- Arvind S. Pillai
- Department of Ecology and EvolutionUniversity of ChicagoChicagoIllinoisUSA
- Institute for Protein DesignUniversity of WashingtonSeattleWAUSA
| | - Georg K.A. Hochberg
- Max Planck Institute for Terrestrial MicrobiologyMarburgGermany
- Department of Chemistry, Center for Synthetic MicrobiologyPhilipps University MarburgMarburgGermany
| | - Joseph W. Thornton
- Department of Ecology and EvolutionUniversity of ChicagoChicagoIllinoisUSA
- Departments of Human Genetics and Ecology and EvolutionUniversity of ChicagoChicagoIllinoisUSA
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Torri A, Jaeger J, Pradeu T, Saleh MC. The origin of RNA interference: Adaptive or neutral evolution? PLoS Biol 2022; 20:e3001715. [PMID: 35767561 PMCID: PMC9275709 DOI: 10.1371/journal.pbio.3001715] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Revised: 07/12/2022] [Indexed: 11/30/2022] Open
Abstract
The origin of RNA interference (RNAi) is usually explained by a defense-based hypothesis, in which RNAi evolved as a defense against transposable elements (TEs) and RNA viruses and was already present in the last eukaryotic common ancestor (LECA). However, since RNA antisense regulation and double-stranded RNAs (dsRNAs) are ancient and widespread phenomena, the origin of defensive RNAi should have occurred in parallel with its regulative functions to avoid imbalances in gene regulation. Thus, we propose a neutral evolutionary hypothesis for the origin of RNAi in which qualitative system drift from a prokaryotic antisense RNA gene regulation mechanism leads to the formation of RNAi through constructive neutral evolution (CNE). We argue that RNAi was already present in the ancestor of LECA before the need for a new defense system arose and that its presence helped to shape eukaryotic genomic architecture and stability. Where does RNA interference come from? This Essay describes a new step-by-step evolutionary model of how RNA interference might have originated in early eukaryotes through neutral events from the molecular machinery present in prokaryotes.
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Affiliation(s)
- Alessandro Torri
- Virus & RNA interference Unit, Department of Virology, Institut Pasteur, CNRS UMR 3569, Université Paris Cité, Paris, France
- * E-mail: (AT); (M-CS)
| | | | - Thomas Pradeu
- ImmunoConcEpT, CNRS UMR 5164, University of Bordeaux, Bordeaux, France
- Institut d’histoire et de philosophie des sciences et des techniques, CNRS UMR 8590, Pantheon-Sorbonne University, Paris, France
| | - Maria-Carla Saleh
- Virus & RNA interference Unit, Department of Virology, Institut Pasteur, CNRS UMR 3569, Université Paris Cité, Paris, France
- * E-mail: (AT); (M-CS)
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Diversity of Cytochrome c Oxidase Assembly Proteins in Bacteria. Microorganisms 2022; 10:microorganisms10050926. [PMID: 35630371 PMCID: PMC9145763 DOI: 10.3390/microorganisms10050926] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Revised: 04/26/2022] [Accepted: 04/27/2022] [Indexed: 12/10/2022] Open
Abstract
Cytochrome c oxidase in animals, plants and many aerobic bacteria functions as the terminal enzyme of the respiratory chain where it reduces molecular oxygen to form water in a reaction coupled to energy conservation. The three-subunit core of the enzyme is conserved, whereas several proteins identified to function in the biosynthesis of the common family A1 cytochrome c oxidase show diversity in bacteria. Using the model organisms Bacillus subtilis, Corynebacterium glutamicum, Paracoccus denitrificans, and Rhodobacter sphaeroides, the present review focuses on proteins for assembly of the heme a, heme a3, CuB, and CuA metal centers. The known biosynthesis proteins are, in most cases, discovered through the analysis of mutants. All proteins directly involved in cytochrome c oxidase assembly have likely not been identified in any organism. Limitations in the use of mutants to identify and functionally analyze biosynthesis proteins are discussed in the review. Comparative biochemistry helps to determine the role of assembly factors. This information can, for example, explain the cause of some human mitochondrion-based diseases and be used to find targets for new antimicrobial drugs. It also provides information regarding the evolution of aerobic bacteria.
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